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

 

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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
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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?

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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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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.

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Why manufacturers don’t like cloud computing!

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

Cloud computing is a term that refers to the delivery of computing resources and services over the internet.

It enables organizations to access and use computing resources, such as storage, processing power, and software, on-demand and without the need to invest in and maintain their own infrastructure.

By leveraging cloud technology, organizations can realize many benefits such as cost savings, scalability, flexibility, improved collaboration and increased agility.


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The unfortunate conception!

There is a perception among some manufacturing organizations that cloud computing is not as secure as on-premises solutions and that there is a lack of control over their data when it is stored in the cloud.

Additionally, some organizations may be concerned about regulatory compliance when using cloud services and the potential for data breaches or other security incidents.

To address these concerns, cloud vendors have invested heavily in security and compliance measures to ensure that their services meet industry standards and regulations.

They also provide detailed documentation and transparency around their security practices and incident response plans.

However, building trust between manufacturing organizations and cloud vendors is a process that requires ongoing effort and communication.

Cloud vendors must continue to demonstrate their commitment to security and compliance, while also providing a high level of customer support and service.

Manufacturing organizations, on the other hand, need to educate themselves about the security and compliance measures in place, and perform due diligence in the selection of a cloud vendor that aligns with their specific needs.

Additionally, they should have a clear understanding of the regulatory requirements that apply to their industry and ensure that the vendor’s offering meets those requirements.

Cloud vendors, meanwhile, must continue to prioritize security and compliance to build trust with their customers and provide the level of service and support that is needed to foster long-term relationships.

Cloud compliance refers to the process of ensuring that an organization’s use of cloud computing services conforms to legal, regulatory, and industry standards.

Compliance with these standards helps organizations protect sensitive data and maintain the trust of their customers and stakeholders.


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By ensuring cloud compliance, organizations can create value in several ways:

1.    Protection of sensitive data: Compliance with regulations such as HIPAA, SOC 2, and PCI DSS helps organizations protect sensitive data such as personal information, financial data, and healthcare records. This can prevent data breaches, which can be costly and damaging to an organization’s reputation.

2.    Mitigation of legal and regulatory risks: Compliance with laws and regulations such as GDPR and CCPA can help organizations avoid costly fines and legal penalties.

3.    Building trust with customers and stakeholders: Compliance with industry standards and regulations demonstrates to customers and stakeholders that an organization takes data security and privacy seriously. This can help build trust and confidence in the organization’s services.

4.    Improved incident management: Compliance with regulations such as ISO 27001 can help organizations establish effective incident management processes, which can help minimize the impact of security incidents and data breaches.

5.    Streamlined compliance reporting: Adopting cloud services, such as Software as a Service (SaaS) can help organizations automate compliance reporting, which can help reduce the burden of compliance on IT teams.

Cloud compliance creates value for organizations by protecting sensitive data, mitigating legal and regulatory risks, building trust with customers and stakeholders, improving incident management and streamlining compliance reporting.

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Organizations that are not taking full advantage of cloud technology, should consider how cloud computing can benefit their business and address any concerns they may have about security and compliance.

They should also consider partnering with a reputable cloud vendor who can provide the necessary support and guidance to help them successfully implement and manage their cloud infrastructure.

Another important factor to consider is the development of a clear cloud strategy that aligns with the organization’s overall business objectives.

This should include an assessment of the current IT infrastructure, a plan for migrating applications and data to the cloud, and a clear understanding of the resources and services that will be needed to support the organization’s operations.

Additionally, organizations should also consider how they can leverage the power of IoT and big data to capture, analyze, and act on the vast amounts of data generated by their operations.

This can help improve decision-making, optimize production processes, and reduce downtime.

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.

Additionally, the use of cloud services allows manufacturers to access powerful computing resources and scale up or down as needed, while also providing flexibility and cost savings.

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By becoming a “software company,” manufacturers are able to better compete in a rapidly changing industry, stay ahead of emerging trends and technologies, and drive innovation to improve their operations and remain competitive.

Technical advancements, the adoption of cloud services, data analytics, and artificial intelligence will accelerate this phenomenon.

The integration of these advanced technologies is driving the digital transformation in manufacturing and will continue to accelerate the trend of manufacturers becoming “software companies.”

Technical advancements such as the Internet of Things (IoT), Industry 4.0, and 5G networking are enabling manufacturers to connect and collect data from a wide range of devices and equipment, providing a wealth of data for analysis and decision-making.

The adoption of cloud services allows manufacturers to store, process, and analyze this data at scale and with greater efficiency. They can also leverage advanced analytics and machine learning tools to gain insights and improve decision-making, optimize operations, and drive innovation.

Artificial intelligence (AI) and machine learning (ML) are also becoming increasingly important in manufacturing. They enable manufacturers to automate processes, improve prediction and forecasting, and make real-time decisions based on data analysis.

Overall, these technological advancements and the adoption of cloud services, data analytics, and AI are allowing manufacturers to become more efficient, innovative, and competitive, and will continue to shape the manufacturing industry in the coming years.


Embedos_IP picture

With increasing customer collaboration comes more questions regarding who owns specific patents and the resulting intellectual property (IP).

As customers collaborate with Cloud hosting companies to develop new technology and solutions, there may be confusion or uncertainty about who owns the resulting intellectual property (IP) and the rights to use it.

This can create potential legal and financial risks for both parties and can also hinder future innovation and collaboration.

To address these concerns, many Cloud providers, have developed principles and guidelines for co-created technology and IP. These principles are designed to provide transparency, fairness and clarity in the ownership and use of IP generated through collaboration.

For example, the principles may include: Clarity of ownership, Fairness in licensing, Transparency in use, Respect for customer’s IP. These principles can provide both parties with a clear understanding of who owns the IP, the terms of use, and the rights to commercialize it.

By establishing clear and fair principles for co-created technology and IP, companies can build trust with their customers, mitigate legal and financial risks, and foster future innovation and collaboration.


 

 

 

Looking for End to End Industrial Automation & IoT Solutions? 

 

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embedos-blogs-din-rail-4-20ma-signal-isolator-ground-loop-embedos-panel: DIN rail clamp terminal block, the kind of panel where a 4-20mA signal isolator is fitted before a PLC or gateway

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Embedos blogs featured image with the title Modbus RTU vs Modbus TCP: Frames, Wiring, Speed and When to Use Each, beside two rows of byte cells with the shared PDU shaded.

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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.

Why manufacturers don’t like cloud computing!

Some manufacturers may believe that their data is less secure if it is stored off-premises in the cloud, as opposed to being kept locally.

However, studies have shown that the majority of security issues are a result of problems with in-house processes, rather than the cloud itself.

There are several reasons why some manufacturers may not be using cloud computing.

One unfortunate reason is a lack of understanding of the technology and its capabilities.

Manufacturers may be hesitant to adopt something that is unfamiliar to them, especially if they have been successful using traditional methods.

Cost can also be a factor, as some manufacturers may believe that cloud computing is too expensive for their business.

However, many cloud providers offer pay-as-you-go models, which can be more cost-effective for #manufacturers, especially when compared to the costs of maintaining and upgrading on-premises systems.

Finally, some manufacturers may be resistant to change, and may be hesitant to adopt a new system that would require them to change the way they work.

They may see this as a disruption to their operations, and may not see the benefits of cloud computing as outweighing the costs.

Embedos_data _ Cloud _ Security


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.
  2. Resistance to change: The adoption of new technology often requires a change in the way a business operates, which can be uncomfortable for some manufacturers.
  3. Concerns about security: Some manufacturers may be concerned about the security of their data if it is stored off-premises in the cloud, rather than being kept locally.
  4. Lack of understanding of the technology: Manufacturers who are not familiar with cloud computing may not understand its capabilities and may be hesitant to adopt it.
  5. Cost: Some manufacturers may believe that cloud computing is too expensive for their business.

However, despite these concerns, there are several reasons why manufacturers should consider adopting cloud computing.

One of the main benefits is the ability to access and analyze data in real-time, which can help to improve efficiencies and make better-informed business decisions.

Additionally, cloud computing can help to reduce the costs of maintaining and upgrading on-premises systems. Furthermore, many cloud providers offer built-in security features that can help to protect data from external threats.


Are Security risks too high?

The perception that the cloud is less secure than storing data locally is a common misconception.

Many manufacturers are concerned about the security risks of storing their business-critical data off-premises, and it’s understandable that manufacturers want to ensure that their data is kept safe.

However, a study by Scalar found that almost 90% of security issues are a result of problems with in-house processes rather than the cloud itself.

This belief that the cloud is insecure may have originated from the newness of the technology, as with any new development, issues can arise.

Emedos_Cloud-Security_2

However, the cloud’s security has evolved and improved over time, and with continued development, security measures have increased significantly.

Unlike manufacturers who have to source industry experts and bring the burden of IT security in-house, cloud providers specialize in IT security as it’s their core business.

They invest heavily in security measures to ensure that their clients’ data is safe.

This means that manufacturers can benefit from the expertise of dedicated security professionals, rather than having to rely on in-house IT teams who may not have the same level of knowledge or resources.

In conclusion, while the perception that the cloud is less secure than storing data locally is a common misconception, cloud providers specialize in IT security and have invested heavily in security measures to ensure that their clients’ data is safe.

This can provide manufacturers with access to expertise and resources that might not be available to them in-house, which can help to ensure the security of their business-critical data.


The Misconception!

The belief that a new technology will be around soon and it’s not worth investing in is a common misconception when it comes to cloud computing.

Cloud computing has proven to be a valuable technology for manufacturers, and it’s here to stay.

Using software as a service (SaaS) through the cloud provides manufacturers with the advantage of having the software updated automatically, without the burden of having to do it themselves.

This ensures that the software is always up-to-date and at the cutting edge of the industry, which can provide a competitive advantage.

Another benefit of using cloud computing is the flexibility it provides.

As the technology and its capabilities continue to evolve, manufacturers can take advantage of new features and functionalities without having to invest in new hardware or software.

Additionally, the cloud allows manufacturers to store and access their data from anywhere, at any time, which can improve collaboration and communication within the organization.

This can lead to more efficient processes and better decision-making.

The cloud is no longer a new technology and it’s here to stay.

It offers numerous possibilities and is fast becoming the foundation of how businesses operate. By using cloud computing, manufacturers can take advantage of its capabilities, reduce costs and improve their competitiveness.


Embedos_cloud-computing-transfer-data

 

 

The Cost of Cloud Computing!

When new technology emerges to the market, the natural association is that new equals expensive. However, as cloud software has proven time and time again, the cost-savings are in-fact generous.

As a form of SaaS, the cost of expensive software upgrades, expensive hardware and product licenses are eliminated, giving you more available cash to invest across your business.

Likewise, a third party takes the IT management aspect from your businesses, reducing the need for specialist IT skills.

One survey found that cloud-based manufacturing software can actually reduce costs by up to 54%, refuting any pre-existing views about costs.

Whether it’s reducing the need for highly skilled team members or improving operational savings across your business, the cloud presents numerous ways for manufacturers to enjoy greater efficiencies across their business.


Building trust into cloud computing!

Building trust into cloud computing is crucial for businesses as they transition their IT services to the cloud.

  1. Security: Ensuring that the cloud provider has robust security measures in place to protect the data and systems from unauthorized access, breaches, and attacks.
  2. Compliance: Making sure that the cloud provider’s services comply with relevant laws, regulations, and industry standards.
  3. Governance: Ensuring that the cloud provider has clear policies and procedures in place for data management, incident response, and risk management.
  4. Transparency: Making sure that the cloud provider is open and transparent about its operations, including its data center locations, ownership, and certifications.

By evaluating and managing the implications of transferring services to the cloud, businesses can build trust in their cloud computing services and feel confident that their data and systems are secure, compliant, and well-governed.

Additionally, businesses should also consider implementing their own internal policies and procedures to ensure that they are using the cloud services in a secure and compliant manner.

In summary, building trust into cloud computing is crucial for businesses as they transition their IT services to the cloud.

Hence, business’s should evaluate and manage the implications of transferring services to the cloud by considering security, compliance, governance and transparency.

 

 

Looking for End to End Industrial Automation & IoT Solutions? 

 

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

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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.

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Retrofitting Legacy Machines and PLCs with OPC UA or Modbus

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Measure inside data center noise levels, compare them with Indian and NIOSH exposure limits, and protect data hall staff with a hearing plan that works.

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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.

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

System-on-Module (SOM)

is a design strategy that involves using modularized hardware components to create a system. The SOM approach allows for faster and simpler design cycles by providing pre-tested and pre-integrated hardware modules that can be easily integrated into a system.

Advantages of SOM Design Strategy:

1.    Faster Time-to-Market: SOMs can greatly reduce the time required for the development and integration of hardware components.

This is because the SOMs are pre-tested and pre-integrated, which eliminates the need for a lengthy design and integration process.

2.    Simplified Hardware Design: SOMs allow for a simpler hardware design process, as the hardware components are already integrated into a single module.

This eliminates the need to design and integrate multiple hardware components separately, which can be time-consuming and error-prone.

3.    Enhanced Performance: SOMs often use advanced and high-performance hardware components, which can improve the overall performance of the system.

This can be especially useful in applications that require high-speed data processing or real-time processing capabilities.

4.    Reduced Development Costs: Using SOMs can help reduce development costs by eliminating the need for a lengthy hardware design and integration process.

In addition, SOMs can often be sourced at a lower cost compared to designing and sourcing hardware components separately.

SOM design strategy offers several benefits for faster and simpler design cycles. By using pre-tested and pre-integrated hardware modules, SOMs can reduce the time required for the development and integration of hardware components, simplify the hardware design process, improve system performance, and reduce development costs.

SOMs offer a cost-effective and efficient solution for the development of hardware systems.

Embedos_ System on Chip & Module _ 2

One of the main benefits of using a SOM design strategy is that it allows design teams to take advantage of pre-tested and pre-integrated hardware modules, which can greatly reduce the time and effort required to develop and integrate hardware components.

This is especially important in the fast-paced and competitive world of product development, where time-to-market is a key factor in success.

In addition, SOMs often include advanced and high-performance hardware components, which can improve the overall performance of a product.This is particularly useful in applications that require high-speed data processing or real-time processing capabilities.

SOMs can help improve the security of a product by using hardware components that are designed with security in mind.This is especially important in markets such as healthcare, finance, industrial, and enterprise computing, where data security is a top concern.

SOMs are flexible and scalable, which means that they can be easily modified or customized to meet the specific needs of a product.This can be useful in cases where a product requires additional hardware capabilities or needs to be adapted to meet changing requirements.

The SOM design strategy offers a range of benefits that can help design teams speed up product development, improve performance, and enhance security.

By using SOMs, design teams can create products that are faster, simpler, and more reliable, which can help them outpace their competitors and succeed in today’s fast-paced market.


The SOM design strategy is a powerful tool for the development of hardware systems and has the potential to revolutionize the way hardware is designed and developed.

1.    Scalability: SOMs are designed to be scalable, which means that they can be easily modified or customized to meet the specific needs of a system. This can be useful in cases where a system requires additional hardware capabilities or needs to be adapted to meet changing requirements.

2.    Reusability: SOMs can be easily reused in different systems, which can help reduce development costs and speed up the design process. This is because the SOMs are modularized and can be easily integrated into different systems without the need for significant redesign.

3.    Ease of Maintenance: SOMs are designed to be easy to maintain, as the modularized hardware components can be easily replaced or upgraded if needed. This can help reduce downtime and improve the overall reliability of a system.

4.    Improved Reliability: SOMs are often designed with high-quality and reliable hardware components, which can improve the overall reliability of a system. This is especially important in applications where downtime or system failure is not an option.

5.    Compatibility: SOMs are designed to be compatible with a range of operating systems and software platforms, which makes them flexible and easy to integrate into a variety of systems.

Embedos_System on Chip2


What is an SOC?

A System on Chip (SoC) is an integrated circuit that integrates all the components of a computer or electronic system into a single chip. It typically includes a microprocessor or microcontroller, memory, and peripheral interfaces, as well as other components that are necessary for the specific application of the SoC.

The microprocessor or microcontroller is the central processing unit (CPU) of the SoC and is responsible for executing instructions and controlling the other components of the SoC. Memory, such as RAM and flash memory, is used to store data and program code. Peripheral interfaces, such as I/O interfaces, allow the SoC to communicate with other devices and systems.

In addition to these basic components, SoCs may also include additional specialized components such as digital signal processors (DSPs), graphics processors, and specialized I/O interfaces.

For example, SoCs used in mobile devices often include a graphics processing unit (GPU) to handle the display and 3D graphics, as well as a digital signal processor (DSP) to handle audio and video processing.

SoCs are widely used in a variety of electronic devices and applications, including mobile phones, tablets, and other mobile devices, as well as embedded systems and IoT devices.

One of the main advantages of SoCs is that they can provide a high level of integration, which leads to smaller form factors, lower power consumption, and lower costs compared to systems that use separate components.

SoCs also allow for good flexibility in design as it is possible to integrate various components into one chip, also it allows for higher performance as all the components are integrated in a single chip, which means that data doesn’t have to be transferred between multiple chips, leading to lower power consumption and a reduction in latency.

SoCs can be manufactured using a variety of technologies, such as CMOS (complementary metal-oxide-semiconductor), BCD (bipolar-CMOS-DMOS), and BiCMOS (bipolar-CMOS).

Embedos_motherboard-chip-with-processor_1


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.

SOMs are pre-fabricated modules that contain a microcontroller or microprocessor and other components such as memory and peripheral interfaces, which are required to build an embedded system.

SOMs are designed to be integrated into a larger system and provide a compact, easy-to-use solution for embedded systems design. They are often used in applications such as industrial automation, medical devices, and transportation.

On the other hand, SoCs are complete systems that integrate all the components of a computer or device into a single chip.

It typically includes a microprocessor, memory, and peripheral interfaces as well as additional components such as digital signal processors (DSPs), graphics processors, and specialized I/O interfaces. SoC are widely used in mobile phones, tablets, and other mobile devices, as well as in embedded systems and IoT devices.

Here are a few general points that might help you to decide:

  • SoC is typically the better choice when you have a high-performance or low-power requirement application, because SoC can integrate all components into a single chip, it provides high-performance computing and lower power consumption.
  • SOM is a better choice when you have a need for flexibility, scalability and modularity, because SOM are a pre-integrated module that can be easily replaced and upgraded as needed, which can greatly reduce the costs and time required for new product developments and maintenance.
  • SOM also is a good choice when you are working on projects with tight schedules, since SOMs can greatly reduce the time required for the development and integration of hardware components.
  • SOM also can be a cost-effective solution in comparison to a SoC, SOMs can often be sourced at a lower cost compared to designing and sourcing hardware components separately.

It is important to keep in mind that, both SOM and SoC have their own advantages and disadvantages, the choice between the two should depend on the specific needs of your application.

 

 

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Our Experts Want to speak to You!

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Vibration Transmitter 4-20mA 0-25 mm/s: Buyer Guide

Choosing a 0-25 mm/s 4-20 mA vibration transmitter for motors and fans: range, RMS velocity, frequency band, mounting and alarm limits.

Flow Meter Pulse Output vs 4-20mA: Which to Use and When

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.

embedos-blogs-3-wire-pt100-to-4-20ma-transmitter-embedos-rtd: 3 wire PT100 sensor showing the three lead wires used for lead compensation

PT100 to 4-20mA Transmitter or Direct RTD Input?

PT100 for remote monitoring: wire it direct as 2, 3 or 4 wire RTD, or add a head mounted 4-20mA transmitter? Cable length, accuracy, noise and cost compared.

4G vs 5G Industrial Router: Which Suits Your Plant in India

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.

Embedos blogs embedos-blogs: PLC I/O rack wired in an industrial control panel, featured image for the Embedos guide to reading a Modbus register map

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

embedos-blogs-din-rail-4-20ma-signal-isolator-ground-loop-embedos-panel: DIN rail clamp terminal block, the kind of panel where a 4-20mA signal isolator is fitted before a PLC or gateway

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.

Embedos blogs featured image with the title Modbus RTU vs Modbus TCP: Frames, Wiring, Speed and When to Use Each, beside two rows of byte cells with the shared PDU shaded.

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.

Embedos blogs featured image with the title How to Build an OEE Baseline in Indian Plants Before You Buy an MES, beside stacked bars that shrink from shift time to fully productive time.

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.

Embedos blogs embedos-blogs: third-party sound level meter analogue 4-20 mA or 0-10 V into Embedos Edge then EmView

How do you keep proving data center noise compliance after the site is built?

After a data center is built, one survey is not enough. How to run continuous boundary noise compliance logging against CPCB day and night limits in India.

Digitise a Bursting Strength Tester: Peak Hold to Wi-Fi Log

Upgrade a manual bursting strength tester with peak hold, auto bursting factor, RS-485 printer output and Wi-Fi data logging, without a new machine.

Embedos blogs featured image with the title Retrofitting Legacy Machines and PLCs with OPC UA or Modbus, beside four machine boxes A to D connected to an edge device and a plant system.

Retrofitting Legacy Machines and PLCs with OPC UA or Modbus

How to connect legacy machines and old PLCs without touching control logic: when Modbus is enough, when OPC UA pays off, and a read-only first retrofit.

Embedos blogs featured image with the title Measuring and Monitoring Data Center Noise Against Indian Limits, beside a sound level meter icon and a 24 hour noise trace with the night band from 22:00 to 06:00.

Data Center Noise Monitoring: Measure Against Indian Limits

How to measure and continuously monitor data center noise against CPCB day and night limits, Class 1 meters, Leq/L90/spectra and logging via a third-party meter into Embedos Edge.

Embedos blogs photo of a narrow aisle between rows of server racks in a server room, where staff work beside continuous fan noise.

Data Center Noise Levels Inside: Protect Staff Hearing

Measure inside data center noise levels, compare them with Indian and NIOSH exposure limits, and protect data hall staff with a hearing plan that works.

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.

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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.

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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.