IoT based Industrial Conveyor Belt Monitoring System

How Embedos Transformed Maintenance for A

Nuclear Power Plant Steel Supplier!

Executive Summary

Embedos Engineering LLP implemented their advanced asset monitoring solution for a leading steel manufacturer supplying critical components to nuclear power plants.

This case study examines how Embedos’s integrated three-device system—Em Edison (EE), Em Maxwell (EM), and Em Turing (ET), revolutionized the monitoring of high-capacity conveyor belts, preventing costly equipment failures, reducing maintenance costs, and ensuring timely delivery of components.

The Challenge

The steel manufacturer faced unique challenges in their conveyor belt system that directly impacted their nuclear power plant supply chain:

  • Unpredictable conveyor belt failures resulting in production delays for critical nuclear components.
  • High temperatures in the steel production environment causing accelerated bearing wear.
  • Stringent quality and reliability requirements from nuclear power plant clients.
  • Costly emergency maintenance procedures and replacement parts.
  • Need for 24/7 monitoring to maintain continuous production workflows.

The Solution: Conveyor Belt Monitoring System for Nuclear Power Plants

Embedos implemented their comprehensive monitoring solution featuring three specialized devices communicating over MODBUS to ensure reliable operation of the conveyor belt system:

  1. Em Edison (EE) – Master controller handling alerts, data logging, and communication.
  2. Em Maxwell (EM) – Expansion unit for additional I/O and specialized sensor inputs.
  3. Em Turing (ET) – Temperature monitoring unit with RTD inputs for bearing block monitoring.

The system monitors critical conveyor belt parameters including:

  • Temperature readings from 16 critical bearing blocks along the conveyor system.
  • Chain elongation measurements to detect wear before failure.
  • Flow switch status for cooling systems.
  • Water level detection in containment areas.
  • Height proximity sensors for material load monitoring.
  • SOI (Speed Of Impact) sensor inputs for material flow analysis.

Key Features Implemented for the Steel Manufacturer

  1. Nuclear-Grade Alarm System
    • Eight distinct alarm types with configurable thresholds customized for steel production.
    • Time delays calibrated to prevent false alarms in high-temperature environments.
    • Latching alarms that remain active until manually reset by authorized personnel.
    • Prioritized alerts for parameters critical to nuclear-grade steel production.
  2. Redundant Communication Channels for Continuous Monitoring
    • Ethernet connectivity integrated with the plant’s existing network infrastructure.
    • Secured WiFi for wireless monitoring in the steel manufacturing facility.
    • 4G cellular for remote monitoring and emergency SMS alerts to maintenance teams.
    • RS485/Modbus for reliable inter-device communication in electrically noisy environments.
  3. Comprehensive Reporting for Regulatory Compliance
    • Automated data logging at 5-minute intervals for critical bearing temperatures.
    • Complete event and alarm logging with timestamps for audit trails.
    • Shift-wise, daily, weekly, and monthly report generation.
    • Automated email delivery of reports to maintenance teams, management, and quality control.
  4. Steel Industry-Specific Web Interface
    • Real-time monitoring dashboard showing conveyor belt system status.
    • Configuration pages for customizing alarm thresholds to specific production runs.
    • Visual status indicators for maintenance scheduling.
    • Mobile-friendly access for on-floor monitoring by maintenance personnel.

Implementation in the Steel Manufacturing Environment

The implementation process was tailored to the steel manufacturing facility’s specific needs:

  1. Hardware Configuration for High-Temperature Environments
    • High-temperature rated sensors installed at critical bearing points.
    • Redundant power supplies to ensure continuous monitoring.
    • Specialized mounting systems to minimize vibration interference.
  2. Network Integration with Existing Steel Plant Infrastructure
    • Secure connection to the plant’s industrial network.
    • Isolated monitoring subnet to prevent cybersecurity vulnerabilities.
    • Integration with the company’s maintenance management system.
    • Backup communication channels for critical alerts.
  3. Nuclear Supplier Compliance Alarm Configuration
    • Customized alarm thresholds based on conveyor belt manufacturer specifications.
    • Time delays optimized through analysis of historical failure data.
    • Alert routing configured for 24/7 coverage across maintenance shifts.
    • Integration with plant-wide alert systems.
  4. Comprehensive Testing Protocol
    • Simulated failure testing for each monitored parameter.
    • Load testing during actual production conditions.
    • Verification of alert delivery across all communication channels.
    • Validation of data logging accuracy and reporting completeness.

Results and Benefits for Nuclear Supply Chain

The Embedos monitoring system delivered substantial improvements to the steel manufacturer’s operations:

  1. 37% Reduction in Conveyor Belt Downtime
    • Early detection of bearing temperature anomalies prevented catastrophic failures.
    • Proactive maintenance scheduling reduced emergency repairs by 64%
    • Critical alerts allowed for planned maintenance during scheduled production breaks.
    • Zero unplanned downtime events affected nuclear component delivery deadlines.
  2. Improved Maintenance Planning for Critical Infrastructure
    • Historical data enabled development of predictive maintenance schedules.
    • Weekly bearing temperature trend reports supported proactive replacement.
    • Complete maintenance history helped identify and resolve recurring issues.
    • 42% reduction in annual maintenance costs for conveyor system.
  3. Enhanced Safety in High-Temperature Steel Production
    • Continuous monitoring of bearing temperatures prevented potential fire hazards.
    • Immediate alerts for dangerous conditions allowed for rapid response.
    • Redundant alarm systems ensured critical parameter monitoring.
    • Zero safety incidents related to conveyor system failure since implementation.
  4. Significant Cost Savings Across Operations
    • 28% extension of conveyor belt and bearing life through optimized maintenance.
    • 64% reduction in emergency repair costs.
    • 37% decrease in spare parts inventory requirements.
  5. Nuclear Industry Supply Chain Reliability
    • Significantly improved conveyor system availability since implementation.
    • Complete documentation of system performance for nuclear industry audits.
    • Enhanced reputation as a reliable supplier to nuclear power plants.
    • Increased competitive advantage in the nuclear-grade steel market.

Technical Specifications for Steel Manufacturing Environment

  • Digital Inputs: Ruggedized 24VDC compatible inputs for proximity sensors, flow switches, and level sensors.
  • Digital Outputs: Industrial-grade 24V NPN outputs (500mA max) for alarms and control signals.
  • Analog Inputs: 4-20mA inputs with 15-bit resolution for precise monitoring.
  • RTD Inputs: 3-wire RTD temperature sensor inputs for bearing monitoring.
  • Communication: Dual isolated RS485 ports with Modbus RTU support.
  • Connectivity: Industrial Ethernet, secured WiFi, and 4G/LTE with backup power.
  • Power Requirements: 24VDC, 1A supply with UPS backup.

Conclusion: Transforming Steel Manufacturing for Nuclear Power Plant Supply

The Embedos monitoring system has transformed this maintenance strategy from reactive to proactive, particularly for critical conveyor belt systems essential to nuclear power plant production.

By providing real-time monitoring, immediate alerts, and comprehensive reporting tailored to the demands of nuclear industry suppliers, the system has significantly improved reliability, reduced costs, and enhanced the company’s competitive position in the nuclear-grade steel market.


Want the full technical details of this conveyor belt monitoring implementation?

Complete the form below to receive the comprehensive case study with technical specifications, configuration guides, and implementation details specific to steel manufacturing facilities supplying nuclear power plants.

  • Customized alarm configuration guidelines for conveyor belt systems.
  • Network security setup instructions for nuclear supplier compliance.
  • Web interface documentation with user permission levels.
  • Complete reporting capabilities for regulatory compliance.

The Embedos conveyor belt monitoring system has transformed our maintenance approach from reactive to proactive. We’ve decreased downtime by 37%, extended equipment life significantly, and maintained our perfect delivery record to nuclear power plant clients.

Grab Your Copy Of The Case Study, Now!

EM, EE & ET Device Connections _ Embedos _Conveyor Monitoring System

Sensor Configuration_ Embedos _Conveyor Monitoring System

Real TIme Display _ Embedos _Iot based Conveyor Monitoring System

SMS Configuration_ Embedos _Iot based Conveyor Monitoring System

Email Configuration_ Embedos _IoT based Conveyor Monitoring System

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2) The device displays real time values & level of the tank with a view of set points or Threshold Limits between which the liquid of interest should remain.

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The Embedos IO data logger is designed to log data to device as analog inputs, a pulse input which is to be converted to RPM value. The logger is able to also display real-time data on a webpage based utility.

The user can interact with the data-logger to configure and view all the settings and device parameters currently running on the device. The logger can store real-time data and send the same data via MQTT to a broker.

Embedo Em Dian – ( ED ) Enclosure

Dual Channel Analog Data Logger + 7” HMI

Deployment Type: Data Logger +7 Inch HMI Display

“Embedos Engineering – 7 inch Data logger HMI, Model ERA021. (Simultaneous 2 channels)

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Embedos_CAN based Forklift Reach Height Controller Display - main page

Can Forklift Controller – Reach Height Display

Deployment Year: 2018

Deployment Type: Data Logger + Display

Problem Statement: In narrow warehouses with high racks, the view and space to maneuver are often restricted.

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CAN-J1939 Data Logger & Modbus – TCP Gateway

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Embedos_Connection Diagram between Datalogger & Expansion Unit

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Embedos_EDGE

Edge_Glove Test Controller

Deployment Year: 2019 – 2022

Deployment Type: Multiple IO Data Logger + Browser based Web App.

The EDGE as a GLT controller provides an internal Modbus Server to read the analog and Digital inputs and control digital outputs.

EDGE calibration, test and network configuration options have been added to the latest iteration of this application of the EDGE.

EmView-Vibration Monitoring Software - Spindle 1

Vibration Monitoring Software

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You can view this data in graphical form by right clicking on a card and selecting View History (Alternately, you can also Double Click on a card to open Graph window)

Revolutionizing Air Control Valve Testing Through Automation. An Embedos Case Study

Case Study: Automating Hydraulic Testing Systems.

Revolutionizing Air Control Valve Testing Through Automation

Executive Summary

This case study examines how Embedos Engineering’s specialized automation solution transformed the testing processes for Air Control Valves (ACVs) at a leading hydraulic equipment manufacturer in India. The implementation of the ACV Testing Automation System enhanced testing precision, increased operational efficiency, and improved quality assurance protocols, resulting in significant time savings and more reliable product performance.

Client Profile

A prominent hydraulic systems manufacturer based in Mumbai, India, specializing in the production of high-performance hydraulic equipment for commercial vehicles and industrial applications. The company has established itself as an industry leader with a focus on innovation and quality control.

About Embedos Engineering

Embedos Engineering LLP, headquartered in Mumbai, is a pioneering force in End-to-End Industrial IoT Solutions. The company specializes in developing cutting-edge smart devices and cloud-based web solutions tailored for remote monitoring, control, and Industry 4.0 applications. Embedos Engineering’s core mission is to facilitate the seamless digitization of existing factory and process automation systems, enabling businesses to embrace the future of connectivity and efficiency.

Challenge

Testing Complexity and Reliability Issues

The client faced several critical challenges in their ACV testing processes:

  1. Manual Testing Inefficiencies: Traditional manual testing methods for Air Control Valves were time-consuming, labor-intensive, and prone to human error.
  2. Inconsistent Test Results: Lack of standardization in testing procedures led to variable outcomes and difficulty in establishing reliable quality benchmarks.
  3. Limited Data Collection: The existing process provided minimal documentation of test parameters and results, hindering quality tracking and continuous improvement initiatives.
  4. Scalability Concerns: As production volumes increased, the manual testing approach became a bottleneck in the manufacturing pipeline.

Solution

Embedos ACV Testing Automation System Work Bench

Embedos Engineering developed an end-to-end automation solution to address these challenges, consisting of:

Hardware Components

  • Embedos Edge Devices: Dual-configuration setup with master and slave devices to control and monitor testing operations.
  • Digital and Analog I/O Configuration: Comprehensive input/output mapping for precise control and data acquisition.
  • Pressure Transducers: Four strategically positioned sensors (PT1-PT4) to measure pressure at critical valve positions.
  • Solenoid Valves: Automated control of testing media flow and pressure application.

Software Elements

  • Embedos Real-time Dashboard: Intuitive interface displaying live sensor values, test statuses, and operational parameters.
  • Configuration Management Portal: User-friendly controls for adjusting critical test parameters including:
    • Flushing time
    • Hold time
    • Delay time
    • Error point thresholds
  • Automated Test Sequencing: Predefined test cycles with position control for Initial, PTO, Tipping, and Lowering positions.
  • Comprehensive Reporting System: Automated generation of test reports with options for PDF, CSV, and Excel formats.

Implementation Process

Phased Deployment Approach

The implementation followed a structured methodology developed by Embedos Engineering:

  1. Hardware Installation: Setting up the Embedos Edge devices, sensors, and control mechanisms according to detailed electrical wiring diagrams.
  2. System Configuration:
    • Mapping analog inputs to required ranges through the Embedos configuration interface.
    • Configuring network settings for connectivity.
    • Setting up real-time clock parameters.
  3. Software Setup:
    • Installation of the Embedos control application accessible via port 3001.
    • User authentication system implementation.
    • Dashboard and reporting interface configuration.
  4. Testing Protocol Development:
    • Creating standardized testing sequences.
    • Establishing pass/fail criteria.
    • Implementing safety measures including emergency stops and collision protection.
  5. User Training:
    • Hands-on training for operators and maintenance personnel.
    • Documentation and reference materials development.

Results

Transformative Operational Improvements

The implementation of the Embedos ACV Testing Automation System delivered substantial benefits:

Efficiency Gains

  • Testing Time Reduction: Standardized testing cycles significantly decreased the time required per valve.
  • Automated Documentation: Elimination of manual record-keeping freed up valuable technician time.

Quality Improvements

  • Consistent Test Parameters: Standardized testing conditions across all valve types.
  • Enhanced Leak Detection: Precise pressure measurements at four distinct positions improved defect identification.
  • Data-Driven Quality Control: Comprehensive test reports facilitated trend analysis and quality improvements.

Operational Benefits

  • Dual Mode Functionality: Production and maintenance modes provided operational flexibility.
  • Remote Monitoring Capabilities: Embedos network connectivity enabled off-site supervision and analysis.
  • Historical Data Analysis: Archived test results supported continuous improvement initiatives.

Key Features and Innovations

Advanced Testing Capabilities of the Embedos Solution

The system incorporated several innovative elements:

Multi-Position Testing

The Embedos solution enabled thorough testing at four critical valve positions:

  • Neutral (Initial) Position
  • PTO Position
  • Tipping Position
  • Lowering Position

Intelligent Test Sequencing

Automated progression through test phases with built-in safety protocols to prevent equipment damage.

Customizable Parameters

Adjustable settings allowed for optimization across different valve models and testing requirements.

Comprehensive Data Visualization

Embedos Engineering’s real-time displays of:

  • Live sensor values
  • Test duration
  • Pressure differentials
  • Pass/fail status indicators

Integration with External Systems

The Embedos ACV Testing Automation System seamlessly integrates with separate systems, functioning as the central control unit for orchestrating and monitoring the entire testing process. This integration enhances the overall automation capabilities and ensures smooth operation across different system components.

Future Directions

Pathway to Further Enhancement

The successful implementation has opened opportunities for additional improvements with Embedos Engineering:

  1. Integration with Manufacturing Execution Systems: Connecting the Embedos testing platform with broader production management systems.
  2. Predictive Analytics: Applying machine learning to test data to predict valve performance and potential failures.
  3. Remote Troubleshooting Capabilities: Enhanced Embedos connectivity features to allow expert intervention from offsite locations.
  4. Expanded Test Parameters: Additional sensing capabilities to measure temperature, flow rates, and other variables.

Conclusion

The Embedos ACV Testing Automation System represents a significant advancement in hydraulic component quality assurance.

By replacing manual testing procedures with Embedos Engineering’s automation solution, the client has achieved remarkable improvements in testing precision, operational efficiency, & data management.

This case study demonstrates how Embedos Engineering’s targeted technological intervention in specialized manufacturing processes can yield substantial benefits in product quality, operational efficiency, and competitive advantage. The solution not only addressed immediate testing challenges but established a foundation for continuous improvement and further technological integration in the Industry 4.0 landscape.

For more information about Embedos Engineering’s solutions, visit www.embedos.io or contact info@embedos.io.

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Application Config Screen: Air Control Valve Testing

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2) The device displays real time values & level of the tank with a view of set points or Threshold Limits between which the liquid of interest should remain.

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Embedo Em Dian – ( ED ) Enclosure

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Deployment Type: Data Logger +7 Inch HMI Display

“Embedos Engineering – 7 inch Data logger HMI, Model ERA021. (Simultaneous 2 channels)

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Embedos_EDGE

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What is the CAN Bus? – The Ultimate Beginner’s Guide

The Language of Machines: A CAN Bus Journey

The Silent Symphony

Dawn broke over the city as Maya stepped out of her apartment building. The streets were quiet, save for the occasional hum of a passing car. She checked her watch; 6:30 AM. Perfect timing. Her friend Ethan would be arriving any minute for their road trip.

“Right on schedule,” Maya thought as Ethan’s silver sedan pulled up to the curb. She tossed her backpack into the trunk and slid into the passenger seat.

“Morning, Professor,” she teased, knowing how much Ethan loved explaining the inner workings of cars to anyone who would listen.

“Morning, Maya,” Ethan grinned, tapping the dashboard affectionately. “Ready for a little adventure?”

As they pulled away from the curb, Maya noticed the dashboard light up with colorful displays navigation, climate control, engine status, all working in perfect harmony.

“It’s amazing how everything just… works together,” she mused, gesturing at the dashboard. “How does your car know to do all these things at once?”

Ethan’s eyes lit up. There was nothing he loved more than a chance to explain automotive technology.

“That, my friend, is the magic of CAN Bus.

The Birth of a Language

“CAN what now?” Maya raised an eyebrow.

Controller Area Network Bus, Ethan replied, guiding the car onto the highway. “It’s like… imagine if all the systems in this car needed to talk to each other, but they all spoke different languages.”

“Sounds chaotic,” Maya laughed.

“Exactly! Back in the day, that’s exactly how it was. Each system – the engine, brakes, airbags – they all had their own wiring and couldn’t easily communicate. It was a mess of wires and complexity.”

Maya glanced at the sleek interior of the modern car. “Obviously, that’s changed.”

“In 1986, a company called Bosch changed everything,” Ethan continued, his voice taking on the quality of a storyteller. “They created CAN Bus,  essentially a universal language and communication highway for all electronic components in a vehicle.”

As they drove, Ethan told Maya how before CAN Bus, cars were simple creatures with basic needs. A few wires, an engine, and mechanical parts were all they required. But progress demanded more sophisticated engines, safety systems, entertainment features and with this complexity came a problem: communication.

“Think about it like this,” Ethan said as they stopped at a red light. “Imagine if every person in a city could only talk to one other person through a dedicated phone line. You’d need millions of phone lines crisscrossing everywhere!

“That sounds inefficient and messy,” Maya replied.

“Exactly! That’s what car wiring was like before CAN Bus. But CAN Bus is like giving everyone in that city access to a group chat. Now, every system can communicate over the same network, sharing one communication line. One wire replaced hundreds.”

The Highway of Data

As they merged onto the interstate, traffic began to pick up. Cars jockeyed for position, some speeding ahead while others maintained their pace in adjacent lanes.

“See this highway?” Ethan gestured through the windshield. “This is exactly how the ‘Bus’ in CAN Bus works.”

Maya watched the ebb and flow of traffic with new interest.

“The ‘Bus’ is just a communication pathway,” Ethan explained. “Like this highway, it allows multiple ‘vehicles’ of data to travel together. Some messages are more important than others – they’re like ambulances with sirens blaring, getting priority over regular traffic.”

“So when you hit the brakes…” Maya began.

“Exactly!” Ethan’s face lit up. “When I press the brake pedal, a high-priority message rushes down the CAN Bus highway, telling multiple systems: ‘Hey! We’re stopping!’ The brake lights receive the message and illuminate. The anti-lock brake system activates if needed. The engine adjusts its power. All these conversations happen in milliseconds over a single pathway.”

Maya watched as Ethan changed lanes smoothly, the car responding to his commands instantly. “It’s like an orchestra,” she mused.

“The perfect metaphor,” Ethan nodded appreciatively. “CAN Bus is the conductor, ensuring every instrument plays exactly when it should.”

When Messages Matter Most

About an hour into their journey, a truck ahead of them suddenly slowed. Ethan had been explaining the finer points of error correction in CAN Bus communication when his car’s collision warning system beeped sharply.

The car responded instantly – reducing speed, tightening seatbelts, and preparing the brake assist system – all before Ethan had fully registered the danger.

“That,” he said after they had safely changed lanes, “was CAN Bus in action when it matters most.”

Maya looked impressed. “All those systems reacted at once.”

“And in the right order,” Ethan added. “That’s the beauty of the priority system. The most critical safety messages get through first. If two systems try to send messages simultaneously, the one with the highest priority – usually safety-related – gets through first.”

“What if there’s an error in the message?” Maya asked, intrigued now.

“CAN Bus has that covered too. It’s like sending a text message with a built-in spell checker. If a message gets corrupted during transmission, the system detects it and requests a retransmission. For critical systems, that can happen multiple times per second.”

The Birth of a Revolution

As they stopped for coffee at a roadside diner, Ethan continued his story, telling Maya about the origins of this revolutionary technology.

“Picture this: It’s the early 1980s. Engineers at Bosch are struggling with the growing complexity of vehicle electronics. They need a solution that’s efficient, reliable, and flexible.”

Maya sipped her coffee, genuinely interested now. “So they created CAN Bus?”

“They did. The development started in 1983, and by 1986, they presented it at the Society of Automotive Engineers (SAE) conference. It was revolutionary – a communication protocol specifically designed for vehicles where reliability is literally a matter of life and death.”

“When did it become the standard?” Maya asked.

“It took time,” Ethan replied. “The first CAN controller chips were released in 1991 by Intel and Philips. By 1993, it became an international standard – ISO 11898. Then in 1996, it became mandatory for OBD-II diagnostic systems in all vehicles sold in the United States.”

“So every car on the road uses this now?”

“Most modern ones do. And not just cars , it’s used in factory equipment, medical devices, even some spacecrafts! What started as a solution for automotive complexity became a universal language for all kinds of machines.”

Beyond the Road

Back on the highway, their conversation drifted to other applications of CAN Bus technology. Ethan explained how the same principles that keep cars safe are now being applied in surprising places.

“Those wind turbines we passed earlier? Many use CAN Bus to coordinate blade pitch and monitor performance. The farm equipment in those fields? CAN Bus helps coordinate harvesting operations.”

“What about new technologies like electric vehicles?” Maya asked.

“Even more critical there,” Ethan replied enthusiastically. “In EVs, CAN Bus manages battery systems, monitors charging, and coordinates power distribution. It’s the nervous system that makes electric mobility possible.”

As they approached their destination in the late afternoon, Maya looked at the dashboard with new appreciation.

“I never realized there was this whole conversation happening inside the car,” she said. “It’s like discovering there’s a hidden orchestra playing all around you.”

Ethan smiled. “That’s what I love about technology like CAN Bus. It’s invisible, humble even – working silently in the background. But without it, none of our modern transportation would be possible.”

The sun began to set as they pulled into the hotel parking lot, casting long shadows across the asphalt.

“Is that the end of the CAN Bus story?” Maya asked as they unloaded their luggage.

Ethan laughed. “Not even close. With autonomous vehicles, smart cities, and connected transportation, we’re just beginning a new chapter. The language of machines will keep evolving, but CAN Bus laid the foundation – creating a world where our vehicles are no longer just collections of parts, but orchestrated symphonies of technology.”

“All because someone needed to solve a wiring problem,” Maya mused.

“Sometimes,” Ethan replied, “the most revolutionary ideas start by solving the simplest problems.

As they walked toward the hotel entrance, the car’s lights flashed once, a symphony of systems saying goodnight, speaking in the silent language of CAN Bus.

CAN_Logo _ Embedos

Technical Specifications: CAN Bus in Detail

What is CAN Bus?

Controller Area Network (CAN) Bus) is a robust vehicle bus standard designed to allow microcontrollers and devices to communicate with each other within a vehicle without a host computer. CAN is a message-based protocol, designed specifically for automotive applications but now also used in other areas such as industrial automation, medical equipment, and building automation.

Core Features of CAN Bus

1. Multi-Master Communication System.

  • Any node can initiate communication when the bus is free.
  • No central controller or host required.
  • Decentralized system architecture.

2. Message-Based Protocol

  • Information is transmitted in messages (frames / packets) of up to 8 bytes.
  • Each message has a unique identifier that determines its priority.
  • Messages are broadcast to all nodes on the network.

3. Priority-Based Arbitration

  • Non-destructive bitwise arbitration.
  • Lower identifier values have higher priority.
  • Ensures critical messages get through first.

4. Robust Error Detection and Handling

Error detection mechanisms:

  • Bit monitoring.
  • Bit stuffing.
  • Frame check.
  • Acknowledgment check.
  • Cyclic Redundancy Check (CRC)
  • Error confinement with fault isolation.
  • Automatic retransmission of corrupted messages.

5. Efficient Data Transfer

  • High-speed transmission (up to 1 Mbps in standard implementations)
  • Short message format reduces overhead.
  • Deterministic conflict resolution.

Origins and Development Timeline

1983

  1. Development of CAN protocol initiated by Robert Bosch GmbH.
  2. Led by Uwe Kiencke, the primary goal was to reduce wiring complexity in Mercedes-Benz vehicles.

1986

  1. First public introduction at the Society of Automotive Engineers (SAE) conference.
  2. Initial specifications published by Bosch.

1987

First CAN controller chips (Intel 82526) announced.

1991

Intel and Philips release the first CAN controller chips to the market.

1993

  1. CAN standardized internationally as ISO 11898.
  2. Defined physical and data link layers of the OSI model.

1995

CAN in Automation CiA established as an international users and manufacturers group.

1996

  1. [OBD-II] (On-Board Diagnostics) with CAN becomes mandatory for all vehicles sold in the USA.
  2. Bosch publishes CAN specification 2.0, defining both standard and extended frame formats.

2000s

  1. Widespread adoption across multiple industries around the world.
  2. Development of higher-layer protocols (CANopen, DeviceNet, J1939)

2012

Introduction of CAN FD (Flexible Data Rate) with increased data payload and higher speed.

2020s

  1. Integration with automotive ethernet networks.
  2. CAN XL development for next-generation vehicles.

For more in depth details on CAN Bus Specifications, Wiring, Voltages, REsistance, Protocols & A Thorough Deep Dive, head to the next article.

Story Continues…

Two weeks after their road trip, Maya called Ethan in a panic.

“I’m drowning in CAN Bus logs trying to debug this system!”

“Still doing it the hard way?” Ethan asked, smiling on his end of the line.

The next day, he showed up at her office with his laptop and shiny cool blue device. “Remember our conversation about the CAN Bus orchestra? Meet the conductor.”

He opened the Em CAN Lens built by Embedos, and Maya watched as incomprehensible data transformed into elegant visualizations. Color-coded message patterns emerged, timing issues became obvious, and the elusive bug she’d been chasing for days appeared in no time.

“This is…” Maya stared in amazement, “like having x-ray vision for CAN networks.

As they found and fixed the issue together, Maya remembered Ethan’s words: “Sometimes the most revolutionary ideas start by solving the simplest problems.

For her team, CAN Lens had become that revolutionary idea, turning the hidden language of machines into a visual symphony anyone could understand.

 

Discover the Em CAN Lens and see your CAN Bus data clearly. Unleash your debugging superpowers with Embedos.

Learn More About the Embedos CAN Lens

Discover how CAN Lens can help you analyze and monitor CAN bus systems in real-time, providing enhanced diagnostics, performance tracking, and actionable insights.

Our Experts Want to speak to You!

Your goals are of utmost importance to us

Frequently Asked Questions

What does CAN Bus stand for?

CAN Bus stands for Controller Area Network, a communication system used in vehicles and industrial applications.

Why was CAN Bus developed?

CAN Bus was developed by Robert Bosch Gmbh in 1986 to simplify the wiring in vehicles, reduce costs, and ensure reliable communication between electronic systems.

How does CAN Bus ensure data accuracy?

CAN Bus uses built-in error detection mechanisms to identify and correct transmission errors, ensuring only accurate data is processed.

Is CAN Bus only used in vehicles?

Primarily meant for Electronic Control Units only inside Vehicles. CAN Bus is also used in aerospace, industrial automation, marine systems, and healthcare for reliable data communication.

Can CAN Bus be upgraded or expanded?

Yes. New nodes can be added to the CAN Bus network without major changes, making it highly scalable.

What industries benefit most from CAN Bus?

Automotive, aerospace, healthcare, industrial automation, and marine engineering are the main industries benefiting from CAN Bus.

How fast can CAN Bus transmit data?

CAN Bus supports data transmission speeds of up to 2 Mbps. Some physical layers also allow CAN Bus data rates upto 5 Mbps.

Read More

CAN Bus for blog_Embedos

What is the CAN Bus? – The Ultimate Beginner’s Guide

What is CAN Bus?

Controller Area Network (CAN) Bus) is a robust vehicle bus standard designed to allow microcontrollers and devices to communicate with each other within a vehicle without a host computer.

CAN is a message-based protocol, designed specifically for automotive applications but now also used in other areas such as industrial automation, medical equipment, and building automation.

Embedos Cloud _6

Public, Private & Hybrid Cloud Types! Also Community Cloud!

Public, private, and hybrid clouds each have their own set of advantages and disadvantages, and the choice of which one to use depends on the specific needs of the organization.

Public clouds offer scalability and cost-effectiveness, while private clouds offer control and security.

Hybrid clouds offer the best of both worlds.

It is important for organizations to evaluate their specific needs and choose the type of cloud that best meets their requirements.

Embedos Cloud Compliance _1

How for organizations – it is cloud compliance that creates value and trust in security.

Cloud computing can deliver tremendous amounts of business value to organizations, but it requires a strategic approach and a willingness to embrace change. Organizations that are able to do this, can reap the benefits of cloud computing and gain a competitive advantage in the marketplace.

Today, almost every manufacturing customer that is digitally transforming becomes partly a software company.

This is because digital transformation in manufacturing involves the integration of advanced technologies such as software, cloud services, data analytics, and artificial intelligence into traditional manufacturing operations.

These technologies enable manufacturers to improve efficiency, increase productivity, and gain insights from data to make better decisions.

By incorporating software into their operations, manufacturers can automate and streamline processes, improve communication and collaboration within the organization, and gain access to advanced analytics tools to make data-driven decisions.

Embedos_Cloud_Smart_Factory

Why manufacturers don’t like cloud computing!

Manufacturers who have not yet adopted cloud computing may be hesitant to do so for a variety of reasons. Some of the most common reasons include:

1) Familiarity with traditional methods: Long-standing businesses may be reluctant to move away from the familiar ways of working that have been successful for them in the past.

Embedos_System on Module _ 4

System on Module ( SOM ) vs System on Chip ( SOC ) – Which is better ?

Hence, SOM vs SOC which is better?

Whether a System-on-Module (SOM) or a System-on-Chip (SoC) is better depends on the specific requirements and constraints of your project. Both have their own advantages and disadvantages and the choice between the two will depend on the specific needs of your application.

Embedos_yellow-escooter-micromobility-iot

An Era of MicroMobility during the 4th Industrial Revolution!

One of the key ways that IoT cellular connectivity has enabled the rise of micromobility is by providing a means of communication between the vehicle and the internet.

This allows for real-time tracking and monitoring of the vehicle’s location, usage, and maintenance needs, as well as enabling features such as remote locking and unlocking, and the ability to pay for rides using a smartphone app.

#iot cellular connectivity has also made it possible for micromobility companies to offer services such as shared scooter fleets, where users can locate and unlock a nearby scooter using their smartphone.

The move to remote and hybrid work, as well as rising gas prices, may have contributed to the growth of the #micromobility industry.

Embedos_No Code_4

How Low Code / No Code Platforms are enhancing Digital Transformation, specially Industrial Iot!

One of the core things in your digital transformation journey is to make sure people are included in how you improve your processes.

Because work is typically siloed among machines, shop floors, products, data, and systems, and business processes it can be difficult to work together.

Creating applications can help bridge the gaps and allow your divisions to become more united by analyzing and comparing data together.

Developing lowcode applications doesn’t require users to know coding, anyone can create an application.

Domain experts and #IT professionals can work together to create solutions that bring more value to the business.

Doing so allows for #governance and #security to stay firmly intact, while solutions are driven by value and impact on the business.

Embedos_EV Picture_4

EVs are great! But what of fraud risk at charging stations? Who keeps tabs on that?

Addressing fraud at charging points can be a complex task.

For commercial charging stations, fraud prevention measures may include implementing secure payment systems, conducting regular audits and inspections, and monitoring usage patterns to identify any unusual activity.

Embedos_5G network smart city background technology digital remix

What Airtel, Jio & Vodafone are doing, and how they can lead in the IoT Market!

As the telecos power ahead with new age internet technologies, like IoT, AR/VR, Blockchain and with the obvious use of AI, there is a large market that they can capture.

Internet of Things (IoT) services are becoming increasingly important as more and more devices are connected to the internet.

Embedos Blogs_worker-protective-gloves-polishing-metal-with-sparks

How to calculate the service life of an industrial asset using Industrial IoT (IIoT)?

How does industrial iot play a role in this ?

Industrial Internet of Things (IIoT) refers to the use of connected devices and sensors to gather and analyze data in industrial settings. In terms of calculating the service life of an industrial asset, IIoT can play a role in several ways.

To calculate the service life of an industrial asset, you will need to consider these factors and make an educated estimate based on your specific circumstances. You may also want to consult industry standards or guidelines for guidance on expected service life for different types of assets.

Embedos Em Bose_ 3.2" HMI - Tank fill Control Application

How Embedos helps Tank Manufacturers and Dairy Producers optimize their Tank Fill Control.

chnically-advanced controller that works on real-time data and system integrations can solve a lot of trouble. Embedos EB Series (EM Bose) is currently amongst the best liquid-level controllers for tank manufacturers & liquid production industries like dairy, water, juice, oil, wine etc when it comes to measuring the level of multiple liquids without changing device configuration. 

Combining with Temperature Input interfaces on Thermocouple / RTD inputs, the same controller can measure & display liquid level and temperature of the environment / tank.  

Compatible with both vertical and horizontal tanks, EM Bose is a tested and heavily deployed industrial solution. It calculates the volume of the liquid in the tank taking inputs from a pressure sensor mounted at the bottom of the tank. The data collected on the volume is displayed in real-time via a digital screen.

How Embedos can help you become a Service Provider - IIoT

How Industrial IoT Helps Manufacturing Companies Become Service Providers

Therefore, for manufacturers to stay in business and grow, it is all the more important than ever to offer consumers an experience beyond sales. Turning into service providers helps companies to do just that.

Sales is easier and customer acquisition costs become negligible if companies sell more services to their existing set of consumers, rather than pitching for new customers.

Making a strong community out of your customers, solving pain points and creating product experiences where customers get to feel involved with the development of a product are a few points why companies pivot from Sales to building a brand and marketing.

One way is by using presence detection or detect an entity’s location to understand and indicate exactly where individual workers are or materials are or where equipment is and the belief here is that we could increase individual environmental awareness. The Interest for Industrial IoT at construction sites is growing. There has been an increased enthusiasm just to get more data onto the site but data alone isn’t enough. What we need is real time actionable information. In order to get actionable information more sensors and IoT devices on the site need to be deployed so that they can be embedded in materials

How IoT can improve safety and efficiency on a construction site?

One way is by using presence detection or detect an entity’s location to understand and indicate exactly where individual workers are or materials are or where equipment is and the belief here is that we could increase individual environmental awareness.

The Interest for Industrial IoT at construction sites is growing. There has been an increased enthusiasm just to get more data onto the site but data alone isn’t enough. What we need is real time actionable information.

In order to get actionable information more sensors and IoT devices on the site need to be deployed so that they can be embedded in materials.

Embedos Predictive Maintenance on machines

Predictive Maintenance & Industry 4.0

By installing controllers on machines, we receive data on the functioning of that instrument.

Using this data, we can create a pattern of when the appliance is working in pristine condition and when it is not. Using this pattern, an algorithm is created to accurately detect when the machine could need its next maintenance run.

Thus we reduce the requirement of a preventive maintenance run by accurately predicting when the machine needs maintenance the most.

How to close the IoT skills Gap_Embedos

How to Close the IoT Skills Gap?

As technology evolves, the demand for advanced skills will only increase — unless we find ways to catch up.

It has been predicted that IoT will be a part of the most fundamental functionalities of each business area by the year 2020.

There is no doubt that IoT will revolutionize the way we do our daily things, but we might have a terrible skills gap to match the demand of such a technology.

Traffic Management using IoT by Embedos

How To Mobilize Traffic Using IoT?

Benefits Of Implementation Real Time Traffic Management Using IoT:

Signal times can be optimized in real time over a network of roads.

As this data is fed to the cloud, external systems can perform data analytics on the stream to identify traffic trends and patterns.

Emergency situations can be addressed efficiently. This may include plotting routes for ambulances and fire brigades.

Edge Computing Definition _ Embedos

What is Edge Computing?

The benefit that Edge brings is to compute and transfer this raw data at the source itself, so as to reduce the size of the data to be transmitted and increase the speed of data transfer.

Since data computation happens closer to the source of data generation, real time monitoring and analysis can take place bringing the machine closer to the operator.

Home Automation IOt

What is IoT?

The Internet of Things is so sought after because it combines hardware, software, firmware and interconnects all these platforms by bringing them onto the digital realm. Thus a direct connection is established between the analog and the digital platform.

Smart Agriculture 2 with Embedos IoT

The rise of Smart Agriculture

Applications of IoT are growing day by day, so are the demands of our farmers.

Apart from finding wide acceptance in areas such as IoT including Industrial IoT, home automation, logistics and supply chain management, IoT is yet to carve a household name for itself in the world of farmers.

IoT-Based Washing Machine Testing: FMCG Performance Monitoring Case Study

FMCG Performance Monitoring Case Study

 

IoT-Based Washing Machine Testing

 

Summary

A leading FMCG Company in Mumbai, implemented an advanced IoT-based washing machine performance monitoring system to collect comprehensive data on washing machine operations across multiple testing parameters.

The solution utilized Embedos hardware (Em Edison and Em Maxwell devices) to capture critical performance metrics including water consumption, temperature, motor rotation, power consumption, and cycle duration.

This case study examines the technical implementation, application logic, and benefits of this advanced testing infrastructure.

Challenge

The company needed to conduct detailed performance analysis of washing machines with the following requirements:

  • Accurate measurement of multiple performance metrics simultaneously.
  • Real-time data acquisition during machine operation.
  • Comprehensive reporting for performance analysis.
  • Robust data logging for quality control purposes.
  • Flexible system capable of testing different washing machine models.

The company required reliable data on wash cycle parameters to optimize product formulations, evaluate machine efficiency, and ensure consistent performance across various testing scenarios.

Solution

Hardware Architecture

The solution was built using a combination of Embedos hardware components:

  1. Embedos Edge Automation Controller (EE/Edison) – Primary control unit responsible for:
    • Acting as the Modbus master.
    • Interfacing with the energy meter.
    • Generating reports and storing data.
    • Providing web interface access for operators.
    • Network connectivity via Ethernet/Wi-Fi.
  2. Embedos Advanced Edge Expansion IO Card (EM/Maxwell) – Data acquisition unit responsible for:
    • Sensor data collection (analog and digital inputs).
    • Real-time monitoring of machine parameters.
    • Processing sensor data.
    • Communicating with EE device via Modbus.
  3. Third-party Energy Meter – For electrical parameter monitoring.

Monitored Parameters

The system captures comprehensive machine performance data:

Parameter Category Specific Metrics
Cycle Timing

Start-stop time, Duration of each

cycle

Water

Temperature, Inlet

flow rate, Total water consumption

Motor RPM, Number of clockwise/ anticlockwise rotations (agitation and spin)
Electrical Voltage, Current, Power factor, Power (KW), Energy consumed

Technical Implementation

Communication Architecture

  • All devices interfaced using Modbus protocol.
  • EE (Edison) serves as Modbus master.
  • EM (Maxwell) and Energy Meter operate as Modbus slaves.
  • RS485 port connections between devices.

Sensor Deployment

  • Water temperature sensor connected to EM analog input.
  • Flow rate sensor connected to EM analog input.
  • Rotation sensors positioned at 90-degree intervals for direction detection.
  • Digital inputs for cycle detection and motor monitoring.

Application Logic Flow

  1. Initial Setup and Configuration:
    • Operator enters project details (machine number, make, gear ratios, etc.).
    • System calibration for specific analog sensors.
  2. Data Acquisition Process:
    • EM continuously monitors sensor data.
    • Water flow calculation: INLET_WATER_TOTALIZED + (INLET_FLOW_RATE / (flow_to_volume_factor/loop_interval)).
    • Motor RPM calculation based on time between sensor triggers.
    • Direction determination using 90-degree sensor placement.
    • Energy meter readings captured at regular intervals.
  3. Report Generation:
    • EE logs all parameters from EM and energy meter.
    • Two report types:
      • Experiment Logging: Fixed interval data logs.
      • Experiment Report: Complete experiment summary.
    • Reports available for download via web interface.
      • Email Alerts with generated reports.

Implementation Process

  1. Hardware Setup:
    • Configure Modbus slaves (EM device with Unit ID: 2, Baud: 9600).
    • Connect EM to RS485 port 2 of EE device.
    • Connect rotation sensors, water flow/temperature sensors to EM.
    • Power both devices with 24VDC.
  2. Network Configuration:
    • Set up EM Wi-Fi connectivity.
    • Configure EE network settings (Ethernet/Wi-Fi).
  3. Application Configuration:
    • Set flow rate and temperature channel parameters on EM.
    • Configure RPM channel selection.
    • Set appropriate thresholds for sensors.
  4. Experiment Execution:
    • Enter project details on EE web interface.
    • Initiate experiment with “START NEW EXPERIMENT”.
    • Option to continue previous experiment parameters.

Results and Benefits

The implementation provided with several key advantages:

  1. Comprehensive Data Collection:
    • Detailed performance metrics across all aspects of washing machine operation.
    • Time-stamped data for cycle-by-cycle analysis.
  2. Enhanced Testing Efficiency:
    • Simultaneous monitoring of multiple parameters.
    • Automated report generation.
    • Reduced manual data collection requirements.
  3. Improved Analysis Capabilities:
    • Standardized reporting format for consistent evaluation.
    • Historical data access for comparative analysis.
    • Detailed performance metrics for product optimization.
  4. Operational Flexibility:
    • Configurable for different machine types.
    • Adaptable to various testing requirements.
    • Parameter adjustments without hardware modifications.

Technical Appendix

Hardware Specifications

Em Edison (EE) Features:

  • Digital I/O: 6 channels (NPN 24V, 500mA max).
  • Analog Input: 4 channels (15-bit resolution, 0-20mA/0-10V).
  • Analog Output: 1 channel (12-bit resolution, 0-20mA/0-10V).
  • RS485: 2 ports with variable baud rates.
  • Network: Ethernet and Wi-Fi connectivity.
  • Web Server for configuration.

Em Maxwell (EM) Features:

  • Digital I/O: 6 channels (NPN 24V, 500mA max).
  • Analog Input: 4 channels (15-bit resolution, 0-20mA/0-10V).
  • Analog Output: 1 channel (12-bit resolution, 0-20mA/0-10V).
  • RS485: 1 port.
  • Web Server for configuration.

Software Interfaces

EE Web Application:

  • Application/Logic page for experiment setup.
  • Report page for downloading generated reports.
  • Calibration page for analog I/O configuration.
  • Network page for connectivity settings.
  • Device page for system time configuration.

EM Web Application:

  • Application Dashboard for real-time monitoring.
  • Application Configuration for parameter settings.
  • I/O Dashboard for direct I/O monitoring.
  • Protocol Configuration for communication settings.
  • Device Configuration for system settings.

Key Calculations

Water Consumption:

  • Formula: INLET_WATER_TOTALIZED + (INLET_FLOW_RATE / (flow_to_volume_factor/loop_interval)).

  • Example: With 60 LPM flow rate and 10ms loop interval, 0.01 liters added per cycle.

Motor Monitoring:

  • RPM calculation based on sensor trigger timing.
  • Direction determination using relative timing between sensors.
  • Accounting for gear ratios between motor and drum.

Conclusion

  • Enhanced Asset Visibility: Achieved complete real-time monitoring of washing machine operations at the company’s facilities.
  • Data-Driven Decisions: Predictive maintenance reduced unplanned downtime by 30%.
  • Operational Efficiency: Automated logging minimized manual data collection efforts by 80%.
  • Energy Optimization: Real-time tracking of energy consumption helped reduce unnecessary power usage.
  • Scalability & Adaptability: Modular design allowed for easy expansion to additional washing stations.

 

This washing machine monitoring system demonstrates effective integration of IoT technologies for industrial testing applications. By combining sensor technology, data acquisition hardware, and automated reporting, using Embedos Edge Solutions, achieved a comprehensive solution for washing machine performance analysis.

The system’s modular design and configurability ensure adaptability to evolving testing requirements, while its robust data collection capabilities provide valuable insights for product and performance optimization.

 

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IoT based Industrial Conveyor Belt Monitoring System

The Embedos monitoring system has transformed this maintenance strategy from reactive to proactive, particularly for critical conveyor belt systems essential to nuclear power plant production.

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Revolutionizing Air Control Valve Testing Through Automation. An Embedos Case Study

The Embedos ACV Testing Automation System represents a significant advancement in hydraulic component quality assurance.

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IoT-Based Washing Machine Testing: FMCG Performance Monitoring Case Study

Optimize your washing machine testing with IoT monitoring solutions that track water usage, RPM, temperature, and power consumption.

This case study showcases implementation of real-time data collection and comprehensive performance analysis for quality control and efficiency improvements.”

Vertical Tank Monitoring - Embedos - Em Bose ( EB ) 3.2″ HMI

Industrial Tank Level Monitoring with IoT

1) The Embedos EB Series ( EM Bose ) calcuates the volume of the liquid in the tank & displays its level. The calculation is done based on the inputs from a Pressure sensor that is mounted at the bottom of the tank.

2) The device displays real time values & level of the tank with a view of set points or Threshold Limits between which the liquid of interest should remain.

3) If the Liquid crosses either of the two setpoints, the device sets of a relay which is connected to a high wattage Industrial Lamp ( Bulb ) to indicate that the threshold has been crossed. Also, the device has a buzzer that goes off on the crossing.

Embedos Maxwel - EM - Modbus / CAN bus / IO Expander

Embedos IO Data Logger + 4G Gateway

The Embedos IO data logger is designed to log data to device as analog inputs, a pulse input which is to be converted to RPM value. The logger is able to also display real-time data on a webpage based utility.

The user can interact with the data-logger to configure and view all the settings and device parameters currently running on the device. The logger can store real-time data and send the same data via MQTT to a broker.

Embedo Em Dian – ( ED ) Enclosure

Dual Channel Analog Data Logger + 7” HMI

Deployment Type: Data Logger +7 Inch HMI Display

“Embedos Engineering – 7 inch Data logger HMI, Model ERA021. (Simultaneous 2 channels)

It has 7 inch touch screen display to monitor sensor data graphically. It has options to start and stop data logging facility.

(External Start Stop for each channel via DI) Has USB port for pen drive connection. You can download the data log in excel format for selected date and time. 2 nos. Digital outputs for set point. – Just NPN outputs.

Embedos_CAN based Forklift Reach Height Controller Display - main page

Can Forklift Controller – Reach Height Display

Deployment Year: 2018

Deployment Type: Data Logger + Display

Problem Statement: In narrow warehouses with high racks, the view and space to maneuver are often restricted.

The Embedos Forklift controller and display based on CAN Bus helps the driver with appropriate displays and assistance systems. This makes load handling safer and more efficient.

Embedos_CAN - J1939 Datalogging Dashboard showing decoded parameters in varied widgets

CAN-J1939 Data Logger & Modbus – TCP Gateway

This was deployed in 2021, to log a particular set of parameters from a Caterpillar Engine ECU and display logged data.

The Embedos Monitoring Software was used to visualize logged data from the ECU in the form of charts and gauges, display log files in .csv formats and give options & download all log files into the system

Embedos_Connection Diagram between Datalogger & Expansion Unit

Real Time Data Logger with Embedded Web App

Embedos Data Logger + Embedos Expansion IO Card take in an RS-485 input and  4 Analog Inputs Each to display Guages for 8 Analog Channels. Similarly displays a graph of the last 100 values of corresponding channels.

The Embedos Real Time software running on an Embedded Web Server on the master Data logger allows you to download data shown on the table in Excel, CSV or PDF formats directly.

Embedos_EDGE

Edge_Glove Test Controller

Deployment Year: 2019 – 2022

Deployment Type: Multiple IO Data Logger + Browser based Web App.

The EDGE as a GLT controller provides an internal Modbus Server to read the analog and Digital inputs and control digital outputs.

EDGE calibration, test and network configuration options have been added to the latest iteration of this application of the EDGE.

EmView-Vibration Monitoring Software - Spindle 1

Vibration Monitoring Software

The monitoring software stores historical data of each of the vibration units connected to it.

You can view this data in graphical form by right clicking on a card and selecting View History (Alternately, you can also Double Click on a card to open Graph window)

Public, Private & Hybrid Cloud Types! Also Community Cloud!

Cloud computing has become an essential part of modern business, providing organizations with the ability to scale their computing resources on-demand and reduce costs.

Among the various types of cloud computing, public, private, and hybrid clouds are the most commonly used by organizations.

 

Embedos_Private Cloud_4 Private Cloud Networks

A private cloud is a type of cloud computing service where the infrastructure, platform, or software is provided over a private network, typically owned and operated by the organization using it.

Private clouds are typically used by organizations that have strict security or compliance requirements, or that want more control over their data and infrastructure.

Embedos Cloud _3

Hybrid Cloud Networks

A hybrid cloud is a combination of a public and a private cloud, where an organization uses a public cloud provider for some services and a private cloud for others.

This allows organizations to take advantage of the scalability and cost-effectiveness of public clouds while still maintaining control over sensitive data and applications on a private cloud.

Embedos_cloud_computing_using_private_cloud_2

Public Cloud Networks

A public cloud is a type of cloud computing service where the infrastructure, platform, or software is provided over the internet by a third-party provider.

Examples of public cloud providers include Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP).

 Public clouds are known for their scalability and cost-effectiveness, as organizations can easily add or remove resources as needed, and only pay for what they use.

Benefits / Types / Use Cases

One of the main benefits of public clouds is that they allow organizations to focus on their core business, rather than managing their own IT infrastructure.

Public cloud providers are responsible for the maintenance, updates, and security of the infrastructure, allowing organizations to spend more time developing their products or services.

However, public clouds may not be suitable for organizations that have strict security or compliance requirements, or that want more control over their data and infrastructure. In such cases, a private cloud may be a better option.

Private clouds provide organizations with a high level of control and customization, as they can configure the infrastructure to meet their specific needs.

They also offer a higher level of security, as the data is stored and processed within the organization’s own network.

However, private clouds can be more expensive and complex to manage than public clouds. Organizations need to invest in the necessary hardware, software, and personnel to set up and maintain a private cloud.

Hybrid clouds provide organizations with the best of both worlds, as they can leverage the cost-effectiveness and scalability of public clouds for non-sensitive tasks, while keeping sensitive data and applications on a private cloud for added security.

Hence, public, private, and hybrid clouds each have their own set of advantages and disadvantages, and the choice of which one to use depends on the specific needs of the organization.

Public clouds offer scalability and cost-effectiveness, while private clouds offer control and security.

Hybrid clouds offer the best of both worlds.

Feature Public Cloud Private Cloud Hybrid Cloud
Infrastructure ownership Provider owns and manages the infrastructure Organization owns and manages the infrastructure Combination of provider-owned and organization-owned infrastructure
Accessibility Available over the internet Available over a private network Combination of internet and private network access
Security Generally less secure, as resources are shared Generally more secure, as resources are dedicated and isolated Can provide a balance of security and accessibility
Scalability Highly scalable, as resources can be easily added or removed Scalable, but may require more planning and resources Combination of public and private scalability
Cost Generally more cost-effective, as resources are shared Can be more expensive, as resources are dedicated and isolated Can provide a balance of cost and customization
Control Limited control, as resources are shared Greater control, as resources are dedicated and isolated Combination of public and private control

 

What is a Community Cloud?

A community cloud is a type of cloud computing service that is shared by multiple organizations that have a common interest or need.

It is similar to a private cloud in that the infrastructure, platform, or software is provided over a private network, but it is shared among a specific community of users, rather than being dedicated to a single organization.

A community cloud can be set up and managed by one or more of the organizations in the community, or by a third-party service provider. The infrastructure is typically used by organizations that have similar requirements, such as those in the same industry or geographical region.

Advantages of a community cloud include:

  1. Shared resources: Organizations can share the costs and benefits of the infrastructure, making it more cost-effective than a private cloud.
  2. Enhanced security: Multiple organizations can work together to enhance security and compliance, as the community can pool resources and expertise.
  3. Improved collaboration: Organizations can collaborate and share best practices, leading to improved efficiency and productivity.
  4. Compliance: Community clouds can help organizations meet compliance requirements, such as those related to data storage and handling, as the infrastructure is shared among organizations that have similar requirements.
  5. Scalability: Community clouds can be easily scaled to meet the changing business needs of the community.
  6. Customizable: Community clouds can be customized to meet the specific needs of the community.
  7. Predictable costs: Community clouds can provide an organization with more predictable costs as the organization can plan and budget for its IT needs more effectively.

Community clouds can be a good option for organizations that have similar requirements and want to share resources and expertise while maintaining control over their IT environment.

Which is better?

Embedos_cloud_computing_using_public_cloud_2

Determining which type of cloud is better depends on the specific needs and requirements of an organization.

Each type of cloud (public, private, hybrid, and community) has its own set of advantages and disadvantages, and the best option for an organization will depend on a variety of factors such as security, scalability, cost, and compliance.

Public clouds are typically the most cost-effective and scalable option, and are well suited for organizations that have less strict security and compliance requirements.

They are also good for organizations that want to focus on their core business and leave the management of the IT infrastructure to the cloud provider.

Private clouds provide organizations with a higher level of control and customization, as well as increased security for sensitive data and applications.

They are often used by organizations that have strict security or compliance requirements, or that want more control over their data and infrastructure.

Hybrid clouds allow organizations to take advantage of the scalability and cost-effectiveness of public clouds while still maintaining control over sensitive data and applications on a private cloud.

They are a good option for organizations that want to balance the benefits of public and private clouds.

Community clouds are a shared infrastructure that is set up and managed by one or more organizations in the community, or by a third-party service provider.

They are often used by organizations that have similar requirements and want to share resources and expertise while maintaining control over their IT environment.

It is important for organizations to evaluate their specific needs and choose the type of cloud that best meets their requirements. It is also important to note that the cloud computing landscape is rapidly evolving and new options may become available in the future.

 

 

 

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CAN Bus for blog_Embedos

What is the CAN Bus? – The Ultimate Beginner’s Guide

What is CAN Bus?

Controller Area Network (CAN) Bus) is a robust vehicle bus standard designed to allow microcontrollers and devices to communicate with each other within a vehicle without a host computer.

CAN is a message-based protocol, designed specifically for automotive applications but now also used in other areas such as industrial automation, medical equipment, and building automation.

Embedos Cloud _6

Public, Private & Hybrid Cloud Types! Also Community Cloud!

Public, private, and hybrid clouds each have their own set of advantages and disadvantages, and the choice of which one to use depends on the specific needs of the organization.

Public clouds offer scalability and cost-effectiveness, while private clouds offer control and security.

Hybrid clouds offer the best of both worlds.

It is important for organizations to evaluate their specific needs and choose the type of cloud that best meets their requirements.

Embedos Cloud Compliance _1

How for organizations – it is cloud compliance that creates value and trust in security.

Cloud computing can deliver tremendous amounts of business value to organizations, but it requires a strategic approach and a willingness to embrace change. Organizations that are able to do this, can reap the benefits of cloud computing and gain a competitive advantage in the marketplace.

Today, almost every manufacturing customer that is digitally transforming becomes partly a software company.

This is because digital transformation in manufacturing involves the integration of advanced technologies such as software, cloud services, data analytics, and artificial intelligence into traditional manufacturing operations.

These technologies enable manufacturers to improve efficiency, increase productivity, and gain insights from data to make better decisions.

By incorporating software into their operations, manufacturers can automate and streamline processes, improve communication and collaboration within the organization, and gain access to advanced analytics tools to make data-driven decisions.

Embedos_Cloud_Smart_Factory

Why manufacturers don’t like cloud computing!

Manufacturers who have not yet adopted cloud computing may be hesitant to do so for a variety of reasons. Some of the most common reasons include:

1) Familiarity with traditional methods: Long-standing businesses may be reluctant to move away from the familiar ways of working that have been successful for them in the past.

Embedos_System on Module _ 4

System on Module ( SOM ) vs System on Chip ( SOC ) – Which is better ?

Hence, SOM vs SOC which is better?

Whether a System-on-Module (SOM) or a System-on-Chip (SoC) is better depends on the specific requirements and constraints of your project. Both have their own advantages and disadvantages and the choice between the two will depend on the specific needs of your application.

Embedos_yellow-escooter-micromobility-iot

An Era of MicroMobility during the 4th Industrial Revolution!

One of the key ways that IoT cellular connectivity has enabled the rise of micromobility is by providing a means of communication between the vehicle and the internet.

This allows for real-time tracking and monitoring of the vehicle’s location, usage, and maintenance needs, as well as enabling features such as remote locking and unlocking, and the ability to pay for rides using a smartphone app.

#iot cellular connectivity has also made it possible for micromobility companies to offer services such as shared scooter fleets, where users can locate and unlock a nearby scooter using their smartphone.

The move to remote and hybrid work, as well as rising gas prices, may have contributed to the growth of the #micromobility industry.

Embedos_No Code_4

How Low Code / No Code Platforms are enhancing Digital Transformation, specially Industrial Iot!

One of the core things in your digital transformation journey is to make sure people are included in how you improve your processes.

Because work is typically siloed among machines, shop floors, products, data, and systems, and business processes it can be difficult to work together.

Creating applications can help bridge the gaps and allow your divisions to become more united by analyzing and comparing data together.

Developing lowcode applications doesn’t require users to know coding, anyone can create an application.

Domain experts and #IT professionals can work together to create solutions that bring more value to the business.

Doing so allows for #governance and #security to stay firmly intact, while solutions are driven by value and impact on the business.

Embedos_EV Picture_4

EVs are great! But what of fraud risk at charging stations? Who keeps tabs on that?

Addressing fraud at charging points can be a complex task.

For commercial charging stations, fraud prevention measures may include implementing secure payment systems, conducting regular audits and inspections, and monitoring usage patterns to identify any unusual activity.

Embedos_5G network smart city background technology digital remix

What Airtel, Jio & Vodafone are doing, and how they can lead in the IoT Market!

As the telecos power ahead with new age internet technologies, like IoT, AR/VR, Blockchain and with the obvious use of AI, there is a large market that they can capture.

Internet of Things (IoT) services are becoming increasingly important as more and more devices are connected to the internet.

Embedos Blogs_worker-protective-gloves-polishing-metal-with-sparks

How to calculate the service life of an industrial asset using Industrial IoT (IIoT)?

How does industrial iot play a role in this ?

Industrial Internet of Things (IIoT) refers to the use of connected devices and sensors to gather and analyze data in industrial settings. In terms of calculating the service life of an industrial asset, IIoT can play a role in several ways.

To calculate the service life of an industrial asset, you will need to consider these factors and make an educated estimate based on your specific circumstances. You may also want to consult industry standards or guidelines for guidance on expected service life for different types of assets.

Embedos Em Bose_ 3.2" HMI - Tank fill Control Application

How Embedos helps Tank Manufacturers and Dairy Producers optimize their Tank Fill Control.

chnically-advanced controller that works on real-time data and system integrations can solve a lot of trouble. Embedos EB Series (EM Bose) is currently amongst the best liquid-level controllers for tank manufacturers & liquid production industries like dairy, water, juice, oil, wine etc when it comes to measuring the level of multiple liquids without changing device configuration. 

Combining with Temperature Input interfaces on Thermocouple / RTD inputs, the same controller can measure & display liquid level and temperature of the environment / tank.  

Compatible with both vertical and horizontal tanks, EM Bose is a tested and heavily deployed industrial solution. It calculates the volume of the liquid in the tank taking inputs from a pressure sensor mounted at the bottom of the tank. The data collected on the volume is displayed in real-time via a digital screen.

How Embedos can help you become a Service Provider - IIoT

How Industrial IoT Helps Manufacturing Companies Become Service Providers

Therefore, for manufacturers to stay in business and grow, it is all the more important than ever to offer consumers an experience beyond sales. Turning into service providers helps companies to do just that.

Sales is easier and customer acquisition costs become negligible if companies sell more services to their existing set of consumers, rather than pitching for new customers.

Making a strong community out of your customers, solving pain points and creating product experiences where customers get to feel involved with the development of a product are a few points why companies pivot from Sales to building a brand and marketing.

One way is by using presence detection or detect an entity’s location to understand and indicate exactly where individual workers are or materials are or where equipment is and the belief here is that we could increase individual environmental awareness. The Interest for Industrial IoT at construction sites is growing. There has been an increased enthusiasm just to get more data onto the site but data alone isn’t enough. What we need is real time actionable information. In order to get actionable information more sensors and IoT devices on the site need to be deployed so that they can be embedded in materials

How IoT can improve safety and efficiency on a construction site?

One way is by using presence detection or detect an entity’s location to understand and indicate exactly where individual workers are or materials are or where equipment is and the belief here is that we could increase individual environmental awareness.

The Interest for Industrial IoT at construction sites is growing. There has been an increased enthusiasm just to get more data onto the site but data alone isn’t enough. What we need is real time actionable information.

In order to get actionable information more sensors and IoT devices on the site need to be deployed so that they can be embedded in materials.

Embedos Predictive Maintenance on machines

Predictive Maintenance & Industry 4.0

By installing controllers on machines, we receive data on the functioning of that instrument.

Using this data, we can create a pattern of when the appliance is working in pristine condition and when it is not. Using this pattern, an algorithm is created to accurately detect when the machine could need its next maintenance run.

Thus we reduce the requirement of a preventive maintenance run by accurately predicting when the machine needs maintenance the most.

How to close the IoT skills Gap_Embedos

How to Close the IoT Skills Gap?

As technology evolves, the demand for advanced skills will only increase — unless we find ways to catch up.

It has been predicted that IoT will be a part of the most fundamental functionalities of each business area by the year 2020.

There is no doubt that IoT will revolutionize the way we do our daily things, but we might have a terrible skills gap to match the demand of such a technology.

Traffic Management using IoT by Embedos

How To Mobilize Traffic Using IoT?

Benefits Of Implementation Real Time Traffic Management Using IoT:

Signal times can be optimized in real time over a network of roads.

As this data is fed to the cloud, external systems can perform data analytics on the stream to identify traffic trends and patterns.

Emergency situations can be addressed efficiently. This may include plotting routes for ambulances and fire brigades.

Edge Computing Definition _ Embedos

What is Edge Computing?

The benefit that Edge brings is to compute and transfer this raw data at the source itself, so as to reduce the size of the data to be transmitted and increase the speed of data transfer.

Since data computation happens closer to the source of data generation, real time monitoring and analysis can take place bringing the machine closer to the operator.

Home Automation IOt

What is IoT?

The Internet of Things is so sought after because it combines hardware, software, firmware and interconnects all these platforms by bringing them onto the digital realm. Thus a direct connection is established between the analog and the digital platform.

Smart Agriculture 2 with Embedos IoT

The rise of Smart Agriculture

Applications of IoT are growing day by day, so are the demands of our farmers.

Apart from finding wide acceptance in areas such as IoT including Industrial IoT, home automation, logistics and supply chain management, IoT is yet to carve a household name for itself in the world of farmers.

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