The Industrial Internet of Things is transforming traditional linear manufacturing into dynamic, interconnected systems

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The Industrial Internet of Things is transforming traditional linear manufacturing into dynamic, interconnected systems

June 07 , 2023 0

The development of many new technologies and products is shaping a new industrial Internet of Things, from hardware and software innovations to smart wearables that enhance human sensory capabilities, all of which may impact production systems and processes through improved data-driven intelligence. Industrial iot is transforming traditional linear manufacturing into dynamic, interconnected systems to help factories unlock their potential for more efficient, higher production and more proactive operations. We need to pay attention to the trend of the Internet of Things and keep up with this trend.

Six trends in Industrial iot

1, Artificial intelligence (AI) : Artificial intelligence is a computer simulation of human intelligence process, comprehensive use of multidimensional data to build data models for accurate control and prediction. More and more enterprises are deploying AI to analyze IIoT data to track device usage, improve workflows, streamline logistics, improve safety, and increase overall efficiency in all aspects of operations.

2, data augmentation and virtual reality: The emergence of cloud computing has greatly improved the efficiency and ability of enterprises to work in the cloud. The distance between cloud computing and iot devices will cause communication and transmission delays. Large compute loads on a single cloud server can also cause processing and queuing delays. In contrast, fog distributed computing pushes data and intelligence to analytics platforms located at (or close to) data sources. Edge computing is one form of pushing intelligence to the edge of the network for real-time device control, security and management.

3. Big Data Analytics: As the amount of data generated by devices continues to grow exponentially, big data storage and analytics help to understand and provide valuable insights. Recent big data analytics innovations and new machine learning algorithms have enabled real-time analytics solutions that compare historical trends with forward-looking predictions, enabling front-line managers to more accurately predict future performance.

4, digital twins: applied to the industrial Internet of Things. A digital twin is a mapping of a real device or factory in a virtual space. Digital twins act as virtual AIDS to physical systems, allowing users to access the structure, context, and behavior of machines and processes, thus providing a window into present and potential future states and conditions into the past.

5, the Internet of Industrial things: The Internet of industrial things is a growing, broader and more comprehensive concept of the Internet of Things. In the early stages, there was only a network between devices. With the development of technology, more and more disciplines including systems are "networking of people, processes, data and things" and not just iot refers to physical objects or devices on a more centralized platform.

6. Device network security: The increase in wireless connectivity in industrial facilities has expanded the range of cyber threats. In addition, industrial iot components and devices, such as industrial routers and industrial Ethernet switches, are generally not as protected by network security as other networking tools and are therefore vulnerable to attack. The damage to businesses will be unpredictable. Therefore, data security will be paid more and more attention.