2020 China Pesticide Industry High-quality Development Forum and Fine Chemical Intermediate Intelligent Manufacturing Summit held grandly

On October 20 , sponsored by the China Pesticide Industry Association, co-sponsored by the Wuhai Municipal People’s Government of Inner Mongolia Autonomous Region, and co-organized by the Fine Chemicals Professional Committee of the China Chemical Industry Association and the Wuhai Regional Economic Cooperation Bureau, the " 2020 China Pesticide Industry High-quality Development Forum and "Fine Chemical Intermediate Intelligent Manufacturing Summit" was grandly held in Wuhai City.

On October 20 , sponsored by the China Pesticide Industry Association, co-sponsored by the Wuhai Municipal People’s Government of Inner Mongolia Autonomous Region, and co-organized by the Fine Chemicals Professional Committee of the China Chemical Industry Association and the Wuhai Regional Economic Cooperation Bureau, the " 2020 China Pesticide Industry High-quality Development Forum and "Fine Chemical Intermediate Intelligent Manufacturing Summit" was grandly held in Wuhai City.

Sun Shubao, president of the China Pesticide Industry Association, pointed out that the gradual optimization of the fine chemical industry structure will provide support for the development of new strategic industries such as electronic information, new materials, and new energy downstream in the industrial chain.

According to Tang Yi, Mayor of Wuhai Municipal People’s Government, Wuhai is an important national coal-coke chemical and chlor-alkali chemical base.

Zhong Xiaoping, secretary general of the Fine Chemicals Professional Committee of the China Chemical Industry Society, believes that although China's fine chemical industry is developing rapidly, the overall refinement rate of the chemical industry is not high.

Song Xianzhu, Secretary of the Party Committee and Vice President of the China Electronics Information Industry Development Research Institute, pointed out that the five aspects of “focusing on innovation, strengthening the foundation, adjusting the structure, promoting transformation, and improving quality” should work hard to promote the quality, efficiency, and motivation changes in the manufacturing industry.

Ye Meng, director of the Intelligent Manufacturing Division of the First Division of Equipment Industry of the Ministry of Industry and Information Technology, made suggestions on the development trend and prospects of intelligent manufacturing in my country, further strengthened the top-level design, improved the intelligent manufacturing innovation system, strengthened the core industry of intelligent manufacturing, and consolidated the development foundation of intelligent manufacturing.

Finally, Dr.
Feng Enbo, chief scientist of big data at China National Chemical Corporation, mentioned that digital technology is of great significance to the optimization of lean operations and safety management of enterprises.
The current traditional continuous improvement methods greatly depend on the business capabilities of specific project executives.
After each project is completed, the accumulated data analysis results and knowledge are generally stored in the form of documents, which is difficult to solidify into an automatic knowledge-based application system, thus greatly wasting the enterprise's knowledge and data resources.
The big data platform and method display the hidden knowledge deposited in historical data by visual means, so that corporate decision makers and process operators can instantaneously obtain the current state and the full-dimensional differences compared with the history, so as to obtain immediate improvements Direction, basis for predictive decision-making, and loss of value from inaction.
It is worth pointing out that this big data support method integrates operation safety, operation optimization, process stability, predictive maintenance, main driving variables, etc.
, from the bottom up to the equipment level, unit level, device level, and enterprise level.
Realize the influence and drive the future state based on historical data.