The Internet of Things (IoT) is a revolutionary technology that has brought 24/7 connectivity to a wide range of devices. Today we have IoT-enabled homes, offices, security systems, appliances, and so on.
On a commercial scale, industrial IoT enables the integration of sensors, devices, and machines with internet connectivity and analytics software in industrial units. This allows them to collect and analyse data from their operations in real time. Here again, the consistent monitoring of industrial IoT devices identifies opportunities for process optimisation and provides corrective predictions.
Let’s learn more about monitoring IoT devices and why it’s essential for optimum performance.
What Is IoT Monitoring?
IoT monitoring involves continuously monitoring IoT devices and systems to detect and address issues or problems round-the-clock.
There are two main reasons to monitor IoT devices:
- Ensure the proper functioning and performance of IoT devices and systems
- Identify opportunities for optimum performance and scale the production line
IoT monitoring involves using sensors, software, and other technologies to collect real-time data from IoT devices and systems. Analysing this data helps identify any issues or concerns that could affect the performance of IoT devices. For example, if an IoT device is experiencing a high failure rate, IoT monitoring can identify the problem and send an alert.
IoT monitoring is also used for optimising the performance of IoT devices and systems by identifying patterns and trends in the data and making recommendations for improvements. For example, if an IoT system consumes more energy than necessary, IoT monitoring can suggest ways to reduce energy consumption.
IoT monitoring is far more effective than manual monitoring for several reasons. For example, IoT monitoring happens 24/7. Secondly, it enables predictive analysis, allowing you to take steps before an issue appears.
Components of Industrial IoT
Industrial IoT refers to using IoT devices and monitoring in industrial units and manufacturing plants.
Industrial IoT monitoring lets you:
- Track and control equipment and processes remotely
- Predict and prevent equipment failures
- Improve asset utilisation and maintenance
- Optimise energy efficiency
- Enhance safety and security
To perform these functions, industrial IoT monitoring needs multiple components listed below, which work in tandem to monitor and optimise the performance of IoT devices in manufacturing plants.
1. Sensors – to collect data from the environment, such as temperature, humidity, pressure, and so on.
2. Network infrastructure – includes the hardware and software to connect the sensors to the internet, such as routers, switches, and gateways.
3. Data storage – to store collected data in a database or cloud storage service.
4. Data processing – to process and analyse the collected data, such as identifying patterns or anomalies.
5. User interface – this is how users interact with the system (a web portal, mobile app, etc.)
6. Security – security measures like encryption and authentication to protect sensitive data
As you can see, IoT monitoring isn’t a standalone feature or tool. Instead, it’s a collection of components that enable the IoT monitoring infrastructure to function correctly.
Now, let’s learn more about the most valuable tools for IoT monitoring.
Some Useful Tools for IoT monitoring
IoT monitoring has become easier than ever due to the availability of complete IoT monitoring solutions. Here are some solutions businesses should use to optimise their performance:
- Senseye PdM: Senseye PdM uses machine learning to identify potential problems with industrial equipment before they occur. It allows you to set up alerts for when certain conditions are met. For example, you can get alerts when equipment is approaching the end of its lifespan or when specific performance metrics fall outside specified ranges.
- skySpark: skySpark is a data analytics platform designed specifically for the building industry. With skySpark, you can collect, analyse, and visualise data from connected devices to optimise building performance. You can use it to monitor and control various building systems, including HVAC, lighting, and energy management.
- TeamViewer IoT: TeamViewer IoT is ideal for remotely managing and monitoring connected devices. It lets users remotely access and control devices, monitor their performance and receive alerts. It works with devices in various industries, including manufacturing, healthcare, and transportation.
- AWS IoT: AWS IoT, offered by Amazon Web Services, provides a range of tools and services for IoT application development, deployment, and management. It includes features such as device management, data storage and analysis, and integration with other AWS services. AWS IoT is one of the most popular IoT monitoring solutions.
- Google Cloud IoT: Google Cloud IoT is a cloud-based platform by Google that provides a complete suite for building, deploying, and managing IoT applications. It includes device management, data storage and analysis, and integration with other Google Cloud services.
There are several IoT monitoring solutions apart from the ones mentioned above. However, these are the most widely used tools to monitor IoT devices and have proven reliable over time.
The importance of IoT monitoring
The Internet of Things has revolutionised manufacturing plants’ operations, and IoT monitoring is crucial to this transformation. By using sensors and other connected devices to collect data from various parts of the production process, manufacturers can get valuable insights to help them optimise their operations and improve efficiency.
Every aspect of manufacturing can be better if you’re correctly monitoring your IoT devices, and it can help you save money while delivering high-quality final products to customers. More importantly, IoT monitoring helps you anticipate potential hurdles and prepare for them in advance.
IoT devices are already bringing a rapid change in how manufacturing plants operate. It’s a game-changer for manufacturers since it allows them to make data-driven decisions to drive significant efficiency, quality, and sustainability improvements.
IoT manufacturing with Oakter
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