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The development of many new technologies and products is shaping the Industrial Internet of Things in 2022, from innovations in software and hardware to smart wearables that enhance human senses, all of which have the potential to impact production systems and processes through improved data-driven intelligence.

The Industrial Internet of Things is transforming traditional linear manufacturing into dynamic, connected systems that help factories unlock their potential to operate more efficiently, productively, and proactively. At this time, it is necessary to pay attention to the trend shown by the Internet of Things and keep up with the trend.

It is an evolving, broader and more comprehensive IoT concept. In the early days, it was just the networking between devices, and as the technology developed, there were more topics involved, including the "network connection of people, processes, data, and things" in the system, not just the Internet of Things only refers to a more centralized A physical object or device on the platform.

As the volume of data generated by devices continues to grow exponentially, big data storage and analytics are helping to understand it and provide valuable insights.

Recent innovations in big data analytics and new machine learning algorithms have enabled real-time analytics solutions to compare historical trends with forward-looking forecasts so that frontline managers can more accurately predict future performance.

Applied to the Industrial Internet of Things, digital twins refer to the mapping of real equipment or factories in a virtual space. By acting as a virtual helper of physical systems, digital twins allow users to access the structure, context, and behavior of machines and processes, so as to understand the past and present. and potential future states and conditions provide a window.

In addition, industrial IoT components and devices such as industrial routers and industrial Ethernet switches are generally not protected by network security like other network tools, making them vulnerable to attacks, and the losses suffered by enterprises will be unpredictable, so the security of data is important. will be more important.