Industrial Internet of Things plays an important role in the digital transformation of manufacturing
Industrial Internet of Things turns Internet of Things in general into a higher level. IIoT has great potential for quality control, sustainable development, traceability, which is key to smart maintenance, energy management, and asset tracking.
Industrial Internet of Things: A higher level of IoT
What is Industrial Internet of Things (IIoT)?
Industrial Internet of Things (IIoT) is defined as “the platform of machines, computers and people that allows smart industrial activities to use advanced data analysis for transforming business results”.
Industrial Internet of Things turns Internet of Things in general into a higher level. Each Industrial IoT ecosystem includes (1) devices with the ability to connect, communicate and store information; (2) public and/or private data communication infrastructure; (3) analysis and application of creating business information from raw data; (4) data storage generated by IIoT devices; and (5) people.
Read more: Smart factory: A trend in Industry 4.0
Manufacturing industries applying IIoT solutions
IIoT takes advantage of data by using smart devices and real-time analytics, getting rid of “dead data” and “dumb machines” that have existed in industrial production for decades. The driving force of IIoT is smart machines that can capture, analyze data, communicate information better than humans, leading to faster and more accurate business decisions. IIoT has great potential for quality control, sustainable development, traceability, which is key to smart maintenance, energy management, and asset tracking.
There are many industries that have applied IIoT technology. Among them is the automobile industry, which currently uses a large number of industrial robots, and the IIoT platform can help proactively maintain production systems, detect potential risks and errors. The agriculture industry also widely uses IIoT equipment. Industrial sensors collect data on soil nutrients, humidity, etc., and allow farmers to grow crops productively. Another industry that is also applying IIoT solutions is the oil and gas industry. Businesses maintain a fleet of autonomous aircraft that could use visual and thermal images to detect potential problems in the pipeline. This information is combined with data from other types of sensors to ensure operation safety.
Internet of Things in manufacturing
What are the benefits of IIoT?
Smart & predictive maintenance
One of the top benefits of IIoT is smart maintenance or predictive maintenance. Businesses can accurately predict the timing of machinery maintenance based on real-time data on the IIoT platform. Therefore, maintenance can be done before an error occurs. This is especially beneficial for production, where crashed machines result in long downtime and large cost losses. By proactively solving maintenance problems, operational efficiency is significantly enhanced.
Tracking
Efficient asset tracking is another advantage that the IIoT system offers. Suppliers, manufacturers, and customers can use asset management systems to track the location and status of products throughout the supply chain. The system sends immediate warnings if the goods are damaged or at risk of damage, in order to promptly avoid or solve problems.
Efficient asset tracking is another advantage of IIoT
Increased customer satisfaction
IIoT also allows improved customer satisfaction. As manufacturers capture and analyze data on how customers use products, they can design products, build more customer-centered product roadmaps.
Machine management
IIoT also improves machine management. Manufacturing equipment is prone to wear and tear, and reduces lifecycle faster due to certain conditions in the plant. The sensor can monitor humidity, temperature and other factors to adjust operating conditions to the optimal level.
In the future, IIoT devices will play an important role, especially in the stage of digital transformation of production lines and supply chains of manufacturers. In addition, big data analytics will grow to combine IIoT data. This will make it possible for businesses to detect changes and react timely.
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