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. Set up by different industry specialists, utilization of IoT will lead to improved business proficiency, productivity and quality work hours. 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.

How to close the IoT skills Gap_Embedos

The concept of IoT is very clear which describes a pure interconnected world. It’s a world where every device of every shape and size are developed with smart capabilities so that they can connect, interact and exchange the data. It’s a world with technology that will make life easier, simpler and better.

IoT is a vast mixture of hardware, software, firmware and networking. To implement this, a core IoT team will require an electrical engineer, embedded systems designer, an embedded software developer, a back-end developer, a front-end developer and a product manager. For IoT startups like Embedos, these 7 positions are filled in by 3 people for want of people having relevant industry skills.

Skills needed for IoT projects to succeed:

With IoT, we need to bridge the gap between the data coming from your IoT infrastructure into your ERP application. You can have a better opportunity to increase your sales, build out new applications, new services and discover new lines of revenue for your business.

1) Security and data analysis- Millions of devices are connected to the IoT. So the amount of data needs to be encrypted, analyses and protected. Skilled engineers, architects, and analysts will be needed to gather and process the information.

2) Networking-As the IoT is all about connectivity, network engineers should focus on the skills like common protocols and keep track of a range of devices.

3) Business intelligence-All of the data collected through the IoT should be turned into actionable intelligence for businesses. They should focus on skills like sensor data analysis, data center management, programming on Hadoop.

4) Cyber-Security-The data attacks in IoT have become a serious problem. Therefore, there is a growing demand for professionals who know about cryptography, managing keys and sealing the networks. IoT security engineers will form an integral part of this field.

Challenges faced by IoT-

The IoT digitizes physical assets, sensors, devices, machines, gateways, and the network. It connects people to things and things to things in real-time. A typical IoT network can grow rapidly resulting in an exponential increase in the variety, velocity and the overall volume of the data. This data opens opportunities for significant data creation and revenue generation but the real challenge for IoT environments is how to analyze the large volume of information from all sources and take action from all in real-time.

What does this mean?

The IT environment has made the need for new analytics, approaches, and technology more urgent. Achieving desired business objectives requires the ability to act in real-time, to take advantage of opportunities and to address the problem quickly. In the pre-internet of things era, an issue in a typical supply of chain scenario could be addressed in a 2 to 3 days cycle for satisfactory results but in IoT time to action is in minutes, seconds, or microseconds. This could limit the utilization of its true potential benefits. The configuration process tends to get lengthy and complex while managing a large number of IoT devices. To simplify the process the systems should be built with a thoughtful design, standardized configuration tools, methods, and interface.

Bridging the IoT skills gap!

How can organizations plan to bridge the IoT related skills gaps?

It’s essential to plan for the IoT related skills gap that is currently present. An Organisation’s IoT implementation will not be successful if its focus is only on the technology. If it does not include its workforce in transitioning their skills gap, they will not be able to take advantage of this technology or even invent using this technology.

A Company has to invest in its workspace and change the mindset of its workers, that they will have to continuously evolve their skill sets. Think about the pace of technology and think about how we can invent new ways of technology. We must continue to reinvent ourselves and continue to evolve our skills. It’s a different contract between the employer and employee now. It’s not “I am hiring you to do this job”. It’s more like “I am hiring you to the job and I want you to continue to learn and evolve with the requirements of this job”

Are advancements in technology causing the growing IoT skills gap?

Technology is ever-evolving since the start of the 21st century. We have seen huge advancements. In 2002 iRobot Corporation released the first version of its Roomba vacuum cleaning robot. In 2004, Facebook was founded. In 2007, Apple introduced a touch screen phone with the iPhone. In 2010, 3D TV started to become more widely available. In 2013, Elon Musk announced “Hyperloop”, a giant tube transport system. In 2017, Quantum computing showed signs of becoming a practical technology and in 2018, Google announced Cloud AutoML, a suite of pre-trained systems that could make AI simpler to use. These advancements are showing no signs of slowing down which is leaving businesses falling short of employees with relevant IT skills.

In 2016, 20% of organizations were experiencing visible disruptions due to the IT skills gap. It’s now 75%. Employers are desperately searching for qualified candidates. In an increasingly growing market, employers are willing to pay higher salaries for applicants with up to date knowledge and who can bring new skills to their business.

How Augmentation reality is solving the Industrial skills gap?

Manufacturing and the service value chain jobs are most affected but the skills gap is more than just a retirement problem. There aren’t systems in place to train new generations of skilled workers. There is increasing competition from other job types. Meanwhile, physical assets are becoming more complex. Companies need to slow down the skills, drain maximize current skills and refill the skills. The answer lies in industrial augmented reality. It gives users a way to overlay digital data on top of the physical assets and environment which is a game-changer when it comes to closing the skills gap. Industrial AR provides a more efficient way to train workers using interactive digital ways of physical assets so workers learn faster and retain more by overlaying instructions, equipment status or performance data, complex or frequently changing assets. Inexperienced workers can also virtually connect with experts.

Outsourcing IoT security

IoT represents a technological revolution. There will be 24 billion connected devices by 2020. By 2020, 95% of cloud service failures will be the customer’s fault. At present, there is no standard for device-level security. The primary challenge to secure IoT implementation is that every device becomes a point of potential incursion. Outsourcing your IoT security requires you to make a detailed risk assessment of your operations. You need to determine the type of provider you need, what they will be responsible for and what you will maintain internally.

Digitization & IoT-

The magic word is digitization. It presents huge challenges to companies but it also means great business opportunities because the trend at the moment is the IoT. Deutsche Telekom has developed a solution that allows us to remotely operate our rapid action roller shutter doors in cases of maintenance and service. It helps the person directly via telephone, by service without a technician. He provides the m2m cards for communications with the IoT. It provides a reliable, high-speed network and data security.

Below is a list of skills that are in high demand in the field of IoT. A full-fledged all-round IoT experience will need expertise in at least 5 of them.

PROGRAMMING SKILLS

For IoT devices to perform useful functions, their microcontrollers need to be programmed. The most popular programming languages in use today in IoT are:

  • C
  • C++
  • Java
  • Python

Likewise note that the Arduino prototyping stage gives a library of C/C++ capacities for engineer use, and is broadly utilized in the IoT space, so creating mastery in this would be a generally excellent thought.

HARDWARE ENGINEERING

The accomplishment of IoT gadgets relies as much on its equipment structure, as on its product. Some skills to master include:

  • AutoCAD drafting
  • Computer-aided design (CAD)
  • An understanding of electronics, mechanical and network communication.
  • Sensor technology
  • PCB Designing
  • Soldering & Quality Testing
  • Embedded software Development

Data Analytics

IoT isn’t just about items being associated with the Internet. Its genuine worth originates from the data that is extracted from these keen gadgets.

IoT organizations need information wizards to gather, store, and break down the information from their devices with the goal that they can utilize them for brilliant actionable intelligence.

Abilities in Hadoop, SAS, R and NoSQL, just as business intelligence and networking are what IoT enrollment specialists are searching for.

Front End Development

For IoT devices to end up prevalent they have to have viable, easy to understand and attractive interfaces. IoT products will come in a wide range of shapes and measures and the individuals who can help plan them need to have elevated amounts of client experience, without weakening its viability will be profoundly employable.

Mobile App Development:

A part of the front end UI is the ease of access to information. Mobile Phones being used by every one of us is be a source of visualization of the data that is sent by our smart devices. Mobile Phones will be able to show data interactively gathered by IoT devices, thereby increasing opportunities for Mobile App developers in the IoT domain.

Cloud Computing:

Cloud computing unlocks a new dimension in software development. The cloud allows programmers to create, host, and execute applications that can scale up much faster.

We have viewed the potential of ‘The Cloud’, and seen it explode. Essentially because it is less expensive and quicker than customary server farms. Today organizations and IT firms are utilizing cloud and cloud applications like never before.

Skills like database management and coding are fundamental for Cloud Computing.

NETWORKING

The way to IoT is the gadgets’ capacity to speak with different devices. IoT organizations will need individuals who have mastery in current systems administration models and innovations, remote associations who can enable machine to machine communication with ease.

Top barriers to IT transformation include:

1) Technology silo

2) Outdated infrastructure

3) New skills/Expertise needed.

IT organizations are getting older which means that people are getting closer to retirement. There’s not as much new talent coming into IT organizations and most people worry about this. Many organizations look to new technology to transform their companies. Yet 94% of HR leaders say that they have difficulties accessing the skills required for transformation initiatives. And 29% say that they are being held back by a lack of digital skills amongst their workspace. So by bringing 800 technical resources who live in this environment every day, by bringing the partnerships with leading technology and understanding those technologies, understanding those dependencies can close the skills gaps.

Embedos is a full-stack IoT device platform that includes a device cloud platform, connectivity hardware, and varied automation & Interface Solutions.

 

 

 

 

 

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How To Mobilize Traffic Using IoT?

 

Traffic signal management is one major issue. What causes traffic jams? If you are unlucky enough to commute in your city you could end up spending the equivalent of 3 weeks per year stuck in traffic. Drivers know that accidents, construction, vehicles and just the sheer number of the people and vehicles on the road ,all contributes to traffic.

The Actual Problem:

The real culprit however is speed or rather sudden, random fluctuations in speed. When drivers travel at a constant rate traffic flows freely but even a single driver hits the brakes the flow is interrupted causing a chain reaction among the vehicles. What can be done to avoid this? Traffic signals can be better synchronized. Driverless cars can be made that can travel at more constant speeds.

IoT Will Solve Traffic Problems:

The average speed in urban environment is dropping everywhere. The question is that what speed are you right now? Traffic gets worse everywhere every year. Urbanization is a huge trend. 50 years ago about 40% of the world’s population lived in an urban area. Now it’s getting close to 80%. So we are going to see more concentration of people in cities. And that’s one of the reasons the entire things are important because cities need to operate even more efficiently.

Self-driving cars will actually solve traffic problems completely. One of the reasons traffic is frustrating is because there’s a lot of things you can’t do when you are driving. If the car is driving you then you can do your office work, you can take a nap or you can watch TV. So the car increasingly becomes a living room on wheels. Those cars can go faster. If all the cars are self-driving it will go 150 miles an hour. Human being can’t process information faster, they can’t operate at those speeds but machines can. There will be a lot of things that will change to relieve traffic burden.

Traffic Control Using IoT:

Consider a number of metal loops which acts as a sensor and are connected or embedded on the road. These sensors will act as data points. If there is an accident on the road or a very bad traffic jam, these data points will sense them and generate reports. Now the operation center will analyze the data. According to that the decisions will be taken. All the vehicles routing towards that road will be informed that traffic jam is nearby. And the alternate paths will be reduced.

Connected vehicles have become very popular in the recent years. There is a lot of research that is going on for building vehicles for good reasons. Stand alone vehicles embedded with different sensors has been there since several years. These vehicles have different embedded sensors and embedded systems.

How Can We Make Cars Manufactured By Different Companies, Connected To Each Other A Possibility?

 

Connected vehicles provide drivers with 360 degree awareness of similarly equipped vehicles within a range of 300 meters. This secure system keeps personal information private does not track your vehicles. Drivers will receive warnings that informs them of potential hazards through a virtual display or through seat vibrations.

These warnings can help drivers respond quickly to avoid potential crashes.

For example: “The intersection movements assist” application warns drivers when it is unsafe to enter an intersection. The “Do not pass warning” application warns drivers when it is not safe to pass a slower moving vehicle.

Connected vehicle technology can help pedestrians too.

For example: “The mobile accessible pedestrian signal system” application sends an automated pedestrian call from the Smartphones of a pedestrian with disabilities to the traffic controller holding the walk signal until the pedestrian has cleared the crosswalk. The potential benefits of a connected transportation system will able to enhance safety and mobility of not only vehicles on the road, but pedestrians as well and at the same time address environmental impacts.

Traffic Congestion Could Be Eased By IoT.

Solution:

One way could be to use maps. Google maps indicate how much traffic is going to be present on the road for your journey. Traffic Signals could be interfaced with such maps, that could tell it how much traffic does each lane have, how many vehicles at a given signal, and could calculate on its own, on an average how much green time should each lane be given.

Another way could be devices deployed on the roads which can be capable of measuring the condition levels. This could be done in various ways. There could be sensors deployed on the roads to pick up congestion data. This data can be transmitted to a cloud system, which analyzes it and decides which roads are truly congested and how much time should a traffic signal on that path give to vehicles.

It could figure out the optimal signal times to be sent to each signal. So that highly congested road would not have a longer waiting time.

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.

 

 

 

 

Looking for End to End Industrial Automation & IoT Solutions? 

 

Our Experts Want to speak to You!

When a timezone setting becomes a root shell: Four OT edge lessons in Cyber Security to learn in Industrial Automation

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When does a 4-20mA or 0-10V loop need a signal isolator before a PLC or IoT gateway?

Ground loops, shared supplies, noise signs and isolator types.

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CAN-J1939 Data Logger & Modbus – TCP Gateway

CAN-J1939 Data Logger & Modbus – TCP Gateway

Deployment Year: 2021

Deployment Type: Embedded Server based Web Application

Embedos_ CAN – J1939 Data Logger to Modbus TCP Gateway  was deployed in 2021, to log a particular set of parameters from a Caterpillar Engine ECU and display logged data on a Device based Web Application which can be viewed on any PC Web Browser.

The Embedos CAN-J1939 Monitoring Software was used to visualize logged data from the ECU in the form of charts and guages, show options to Start & Stop or Control Logging of select parameters, display log files in .csv formats and give options to enter source address & download all log files into the system.

The purpose of the Modbus TCP Gateway is to broadcast the J1939 decoded parameters on Modbus Registers.

The Embedos CAN-J1939 Monitoring Software is based on Node Red technology.

 

 

Embedos_CAN - J1939 Datalogging Dashboard showing decoded parameters in varied widgets. Screen 1

Embedos_CAN - J1939 Datalogging Dashboard showing log files of Parameters, ready to download. Screen 2

Embedos_CAN - J1939 Data logging Dashboard showing options to start & stop logging of parameters of Caterpillar Engine ECU. Screen 3

Embedos_CAN - J1939 Data logging Dashboard showing screens to Enter & Save Source ECU Address. Screen 4

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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.

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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

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

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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

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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)

What is Edge Computing?

 

 

 

Soon the Internet of Things is going to give physical devices like doors, chairs, coffee makers, refrigerators, their own Internet Connection. Edge Computing will allow processing of data gathered from these devices locally and with the help of Artificial Intelligence and Machine Learning, will be able to make sense of this data. These things will become important decision makers.

So what is the Edge Device?

Edge in literal sense means the end or a boundary of a particular area. In the IoT world, Edge stands for the same thing. An Edge device stands at the boundary between a Field Device and a Cloud Storage. It is a logical controller for data to be acquired, processed and then transmitted from the field to the cloud.

What is the Difference between Edge Computing & Cloud Computing?

Cloud Computing is a Computing on demand service. When some one says their application is a cloud based one, it means that it is hosted on a distant Computer server, which is owned by IBM, Google or Amazon. Instead of having everything locally on a computer hard drive, everything is available on the Cloud. A cloud interface offers flexibility of not having to own expensive computing hardware to host an application.

Since its revenue structure is a “Pay as you use” one, running an application on a cloud storage is very profitable as it only charges you for the space and the computing power that you use. The most well known examples of Cloud usage is Google Drive and Apple ICloud.

The idea of Edge Computing is to push these cloud services closer to the network, to the devices themselves. Thus Edge Computing enables the captured data to be processed at the same location. With the help of Algorithms and AI, these machines can make decisions locally without the need of the internet or the cloud. It can be seen as a decentralized cloud.

But

What is the point of Edge Computing if Cloud Computing is so sought after?

Wasn’t Cloud Computing brought forward to give up hardware and only make use of the software when needed?

The answer to this is that in today’s fast moving world, avoiding latency is key. If data is processed at the time of acquisition itself, only already processed data is transferred to the cloud for a data visualization. This increases the speed of data that is transferred as processed data occupies less storage than raw acquired data.

As the Internet of Things approaches us, the size of the data that is collected is going to grow exponentially. Sending this data to the cloud for further computation is going to increase the bandwidth required and burden the network.

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.

Looking at the vast amounts of data that machines generate, sending all this data for computation to the cloud, is not only going to increase the processing power of the cloud, but also increase its cost of usage. With cost of usage going up and Computational speed of the Cloud decreasing, it is certain that Edge Computing only benefits the IoT to Cloud Architecture.

To give an example of Edge devices in the consumer domain, if our refrigerator were enabled with an internet connection and some data processing power, we could have our fridge know the type of food that it contains. It could also know when milk is going to run out based on consumption patterns and with its enabled internet connection and an inbuilt AI system, order a litre of milk by itself using this internet.

Speaking of Edge devices in the manufacturing and industrial sector, shop floor machines and PLC’s could be directly interfaced with edge devices. These Edge devices are critical for industries that use vast amounts of data and require immediate reaction times. The IoT to Cloud architecture is very inefficient and slow. It allows for latency in the transfer of data to the cloud due to the sheer size of data that is collected at the source.

Like Edge Computing, there is a term called “Fog Computing”.

Coined by Cisco, Fog Computing is similar to Edge Computing. Fog Computing believes in the processing, storage and networking of data between the Data Source and the Cloud. Thus Edge computing essentially is a sub division of fog computing.

For the industry, the main purpose of an Edge Gateway is to provide connectivity options to data gatherers like Sensors & Actuators. There are many industrial protocols followed like Bluetooth, Modbus, Bacnet, Profinet, OPC UA, etc.

To fulfill the need of a decision maker, the Edge gateway needs to be a programmable one, thus the term Programmable Automation Gateway Controller. In addition to running local processing and diagnostic applications, monitoring systems and custom softwares, the Edge device should store data by itself.

This allows it to be completely autonomous from the network. By running local applications and storing the data at the same time, the Edge device can operate independently, in a disconnected manner.

Thus If no internet connection is required, the processed data can be viewed locally as well. The Cloud only features as a Software to enable further analytics and poses as a customized GUI platform to view the data.

The Embedos Edge

The Flagship device of Embedos Engineering LLP is its own Edge device. It has a plethora of options and applications and is developed as a programmable automation gateway controller. The Emedos Edge device can replace the traditional PLC to perform as a Logical Controller.

The same device can be used to process the acquired data and behave like a gateway to transmit this computed data to a Cloud storage for further visualization and analytics. Solutions & Applications including Industrial Automation Controller, Data Logger, IO Expander & Controller , Display Systems , Temperature Dataloggers are some of the options offered by the Embedos Edge.

If you are interested in learning more about Edge Computing, and how to implement it on your shop floor, our team at Embedos can surely help you!

 

 

 

 

 

 

 

Looking for End to End Industrial Automation & IoT Solutions? 

 

Our Experts Want to speak to You!

When a timezone setting becomes a root shell: Four OT edge lessons in Cyber Security to learn in Industrial Automation

Four OT edge lessons from October 2026 CISA ICS advisories: timezone-to-shell, localhost bypass, Linux runtimes on controllers, and pollers without peer identity checks.

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Pulse output or 4-20mA for your flow meter? Compare totalising accuracy, cable length, noise and PLC input needs, with simple examples for Indian plants.

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4G or 5G industrial router for PLC and SCADA telemetry? Compare coverage, bandwidth, power, cost and dual SIM failover for Indian plants before you buy.

Modbus Register Map: How Do You Read It and Decode 32-bit Values (ABCD, CDAB, BADC, DCBA)?

How to read a Modbus register map: function codes, 40001 vs 0-based addresses, data types, scaling and a 32-bit float decoded. | Embedos Mumbai

4-20mA Signal Isolator: When You Need One for Ground Loops

When does a 4-20mA or 0-10V loop need a signal isolator before a PLC or IoT gateway?

Ground loops, shared supplies, noise signs and isolator types.

Modbus RTU vs Modbus TCP: Frames, Wiring, Speed and When to Use Each

Modbus RTU vs Modbus TCP from the official specs: framing, CRC vs MBAP header, addressing, port 502, RTU over TCP and gateways, for plant engineers.

How to Build an OEE Baseline in Indian Plants Before You Buy an MES

Set a defensible OEE baseline before you choose MES software: what to measure, for how long, and how Indian plants can start with the machines they have.

Real Time Data Logger with Embedded Web App

Real Time Data Logger with Embedded Web App

Deployment Year: 2020

Deployment Type: Modbus Data Logger + Expansion IO Card+  Embedded Server based Web Application

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_Connection Diagram between Datalogger & Expansion Unit

Embedos_8 Guage Dashboard Web App running on Embedded Web Server

Embedos Real TIme Dashboard_Historical Data settings

Embedos_ Real Time Web App - Application Settings

Embedos_ Real Time Web App - Channel Settings - Add Records

Embedos_ Real Time Web App - Channel Settings - Widgets

Embedos_ Real Time Web App - How to edit records

Embedos_ Real Time Web App - Network Settings

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Embedos_Em Ramanujan (ER) _ Front_1

Hydro Static Testing Data Logger| Hardware & Software

Hydrostatic Testing Automation Using Industrial Data Logger & Real-Time Pressure Analytics, Reports & Pump Control!

The pump behaves as an actuated endpoint within a software-defined test cycle, driven entirely by real-time pressure acquisition and deterministic control logic.

Embedos Architecture for Steel Manufacturer for Nuclear Power Plant

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.

Air Control Valve Testing Through Automation. Embedos Case Study SS 1

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.

EE+EM _ Use case for HUL _ Embedos

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)