What is IoT-based monitoring and control?

What is IoT based monitoring and control?

Share This Post

The Internet of Things (IoT) is a technology that connects devices to the internet and allows them to communicate with each other. IoT-based monitoring and control involve the use of sensors, devices, and software to collect and analyse data from machines and equipment in real-time. This technology has many benefits for the manufacturing industry, including increased efficiency, reduced downtime, and improved quality control. However, there are also challenges associated with IoT-based monitoring and control, including data security and privacy concerns, the high cost of implementation, and the need for skilled personnel to manage the technology.

Overview of IoT-based monitoring

Benefits:

IoT-based monitoring and control have many benefits for the manufacturing industry. One of the main benefits is increased efficiency. By using IoT sensors to monitor machine health and optimize production processes, manufacturers can reduce downtime and improve overall efficiency. IoT devices can also be used to track the location of goods in transit, making it easier to manage the supply chain.

Another benefit of IoT-based monitoring and control is improved quality control. By collecting data from sensors and devices, manufacturers can identify and correct quality issues before they become major problems. This can help to reduce waste and improve overall product quality.

IoT-based monitoring and control also have benefits for worker safety. By using IoT sensors to monitor hazardous conditions, manufacturers can alert workers to potential dangers and take steps to mitigate risk.

Challenges:

While IoT-based monitoring and control have many benefits, there are also challenges associated with its implementation. One of the main challenges is data security and privacy concerns. As more data is collected and transmitted over the internet, there is a risk of cyber-attacks and data breaches. Manufacturers must ensure that data is secure and protected from cyber threats and that privacy regulations are followed.

Another challenge of IoT-based monitoring and control is the high cost of implementation. Implementation costs can be significant, including the purchase of IoT devices, software, and infrastructure. Additionally, manufacturers must ensure that their employees are properly trained to use and manage the technology.

Products, Hardware, and Solutions:

There are many IoT products, hardware, and solutions available for the manufacturing industry. These include sensors, gateways, cloud platforms, and analytics tools. For example, Siemens has developed an IoT platform called MindSphere, which allows for the collection and analysis of data from machines and equipment in real-time. This data can be used to optimize production processes and improve efficiency.

Other IoT hardware solutions include sensors for monitoring machine health, RFID tags for tracking inventory, and GPS trackers for monitoring the location of goods in transit. IoT cloud platforms such as Microsoft Azure, AWS IoT, and Google Cloud IoT provide tools for data analysis, visualization, and management. General user interfaces such as ThingWorx and Siemens MindSphere provide a user-friendly interface for managing and analysing IoT data.

Real-world examples of IoT-based monitoring and control systems can be found in various industries. In healthcare, IoT-based monitoring and control systems are used to track patient health and vital signs, with companies like Philips offering solutions for remote patient monitoring. In agriculture, IoT-based systems are used for crop monitoring and irrigation, with companies like John Deere offering solutions for precision agriculture.

Deployment:

The deployment of IoT in manufacturing requires careful planning and execution. This includes identifying the right sensors and devices to use, determining how data will be collected and analysed, and ensuring that the right personnel are in place to manage the technology. The deployment also requires a robust infrastructure, including cloud platforms and analytics tools, to manage the large amounts of data generated by IoT devices.

Real-World Example:

One real-world example of IoT-based monitoring and control is Airbus’ use of IoT technology to monitor aircraft engines. Airbus has installed sensors in its engines that collect data on everything from temperature and pressure to fuel consumption and vibration. This data is then transmitted to the cloud, where it is analysed in real-time.

By using IoT-based monitoring and control, Airbus is able to detect potential problems with its engines before they occur. This allows the company to schedule maintenance proactively, reducing downtime and improving efficiency. IoT-based monitoring and control have also helped Airbus to improve safety by identifying potential safety hazards before they become major issues.

Market Size: 

The market size for IoT-based monitoring and control systems is expected to continue to grow in the coming years. According to a report by MarketsandMarkets, the global IoT in the manufacturing market is expected to reach $45.3 billion by 2025, driven by the increasing demand for real-time data analysis and optimization of manufacturing processes. In addition, the healthcare industry is expected to see significant growth in IoT-based monitoring and control systems, with the global healthcare IoT market expected to reach $534.3 billion by 2025.

Conclusion:

In conclusion, IoT-based monitoring and control systems are becoming increasingly popular in various industries due to the significant benefits they offer, including increased efficiency, reduced downtime, and improved quality control. However, the implementation and management of these systems also come with challenges such as data security and privacy concerns, high costs of implementation, and the need for skilled personnel to manage the technology.

Cloud platforms such as Microsoft Azure, AWS IoT, and Google Cloud IoT, as well as general user, interfaces like ThingWorx and Siemens MindSphere, provide valuable tools for managing and analysing IoT data. The market for IoT-based monitoring and control systems is expected to continue to grow, with a projected economic value of up to $14.2 trillion by 2030, according to Accenture.

Overall, IoT-based monitoring and control systems offer a promising avenue for industries to optimize their operations, and as the technology continues to develop and evolve, we can expect to see more innovative solutions and greater adoption across various industries.

Why not check out our Knowledge Center or our YouTube Channel while you are here?

How useful was this post?

Click on a star to rate it!

Average rating 0 / 5. Vote count: 0

No votes so far! Be the first to rate this post.

Post by:

Share This Post

Subscribe To Our Newsletter

Get updates and learn from the best

More To Explore

What is NB-Fi?

NB-Fi (Narrow Band Fidelity) is an open LPWAN (Low-Power Wide-Area Network) protocol designed for Internet of Things (IoT), machine-to-machine (M2M), and Industrial Internet of Things

Read More »

Subscribe to Our Newsletter

Get updates and learn from the best