AI technology enables the transformation and upgrading of the manufacturing industry

Talking about how artificial intelligence enables the transformation of manufacturing industry, Fang Yongsheng combined with the specific business of central control technology and its own development layout, and shared the path and practical results of central control technology enabling the sustainable development of manufacturing industry with the core ability of “AI+ data”.

Artificial intelligence will help industrial companies

Transformation and upgrading to “Excellent Factory”

Zhongkong Technology actively implements the national low-carbon development strategy, is committed to providing advanced intelligent manufacturing solutions to assist enterprises in fine management and efficient allocation of resources, and effectively promote the transformation of industrial structure towards a greener and more efficient direction.

ADV151-P50 At the same time, the growing demand for intelligence in the process industry provides a broad application space and practical opportunities for artificial intelligence technology. Fang Yongsheng introduced that the world’s first universal control system UCS-Nyx product released by Zhongcong Technology has completely subended the traditional distributed control system technical architecture that has lasted for nearly 50 years. Through deep integration of Al technology, it realizes functions such as data prediction and adaptive control, improves the efficiency of device operation, leads the new era of “artificial intelligence” in the control field, and liberates productivity.

Artificial intelligence will help process industrial enterprises

Transform into a “unmanned factory”

Facing the requirements of the whole process scenario of production control of enterprises in the process industry, Central Control technology has carried out the research and development of generative industrial AI large model, and released the first AI time series large model TPT in the process industry in June this year.

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TPT uses AI technology to deeply mine massive data in industrial scenarios and effectively achieve decision support and optimization strategies in various complex industrial scenarios. At present, TPT has made breakthrough applications in chlor-alkali, thermoelectric, petrochemical and other devices, comprehensively helping process enterprises to improve human efficiency, stable operation, and increase revenue.

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ADV151-P50 Become a global leader in industrial AI

With the deepening of the industrial automation process driven by the depth of AI technology, and the comprehensive upgrading of industrial technology with the help of AI algorithms, intelligent manufacturing will enter a new stage of high-quality development. Fang Yongsheng said that the central control technology will seize the development opportunities of the digital transformation and intelligent upgrading of the manufacturing industry, deeply build the core capability of “AI+ data”, and comprehensively build the industry competition barriers through continuous research and development investment, deep integration of production, university and research, international strategic layout and ecosystem construction, and accelerate the realization of “becoming the global leading enterprise of industrial AI.” The enterprise vision of “Promoting industrial sustainable development with AI” will lead the industry to a new era of intelligence and green.

In the future, the central control technology will continue to increase the layout of artificial intelligence, industrial software and robot-related fields, focusing on the most promising technical directions such as intelligent prediction and optimization, big data analysis, and digital twin technology in the “AI+ data” subdivision field, and accelerate the exploration of the application of AI technology in the process industry through the continuous breakthrough and innovation of industrial AI technology. Promote the intelligent, efficient and sustainable development of the global manufacturing industry.