China News Service, Shenyang, October 19 (Reporter Gong Xu) The 2020 Global Industrial Internet Conference with the theme of "Empowering High Quality and Creating New Kinetic Energy" is being held in Shenyang, Liaoning on the 19th.
"Global Industrial Internet Top Ten Most Growing Technology Prospects (2020-2021)" was released during the conference. Blockchain identification data management technology, industrial Internet edge cloud integration technology, real-time data warehouse construction technology, etc. were selected.
At present, the Industrial Internet has entered the fast lane of development worldwide, and is in a strategic window period facing major breakthroughs, bringing a series of new elements, new markets, new paths, and new forms, gestating new growth and changes.
In order to accurately grasp the strategic direction of the global industrial Internet, keep track of the innovation trends and characteristics of the industrial Internet in a timely manner, and foresee and judge the major layout of the industrialization of the industrial Internet, the China Industrial Internet Research Institute and Northeastern University jointly carried out an analysis and research on the growth technology of the industrial Internet, and committed to the industry Healthy development, orderly entry of funds, policy planning, and development of emerging markets provide intellectual support with decision-making reference value and practical guidance significance. The "Global Industrial Internet Top Ten Most Growing Technology Outlook (2020-2021)" has been compiled.
These 10 technologies are: cloud-native technology based on container orchestration engine, low-code development technology for industrial systems, ultra-dense heterogeneous technology for industrial fields, intelligent application technology for industrial systems based on deep learning, real-time data warehouse construction technology, AI-driven Industrial Internet intrusion detection technology, "5G+MEC" intelligent connection technology, industrial Internet end-side cloud integration technology, industrial Ethernet technology based on advanced physical layer, blockchain identification data management technology.
Among them, industrial system low-code development technology uses the interface of visual application development, uses drag-and-drop components and model-driven logic to develop applications, reduces development thresholds and improves development efficiency, which can help promote the popularization of development technologies and accelerate small, medium and micro The pace of enterprise digitalization, networking and intelligent transformation.
The intelligent application technology of industrial systems based on deep learning is to use collected data to enhance the model building capabilities and analysis and identification capabilities of deep learning in the field of industrial control systems, and to improve the level of industrial intelligence.
By empowering industrial production processes, functions such as energy consumption forecasting, working condition perception, intelligent decision-making, and product quality traceability are realized.
This technology is an important driving force for the interconnection of industrial equipment and the intelligentization of industrial services.
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