On September 5, the Jiangsu Provincial Department of Industry and Information Technology announced the list of "Jiangsu Industrial Internet Demonstration Project Star-rated Cloud Enterprises" in 2022. The Jiangsu Taicang Company of the State Energy Group was successfully selected

2025/02/2223:25:35 technology 1360

htmlOn September 5, the Jiangsu Provincial Department of Industry and Information Technology announced the list of "Jiangsu Industrial Internet Demonstration Project Star-rated Cloud Enterprises" in 2022. The State Energy Group Jiangsu Taicang Company was successfully selected with its excellent industrial Internet platform construction and service capabilities and was successfully selected and won the The highest five-star rating has become the only thermal power generation enterprise in the province to receive this honor.

On September 5, the Jiangsu Provincial Department of Industry and Information Technology announced the list of

Jiangsu Taicang Company Factory appearance

Guoneng Taicang Company introduced cloud technology into the production, operation and service links, and established "one network, two centers", "one palm, three platforms", "three capability centers, and six application centers" The top-level architecture of smart power plant is the framework, to improve the level of digitalization, networking and intelligent development of enterprises, and to release value potential in continuous innovation and cost reduction. Relying on the 600 MW supercritical steam turbine transformation project, the company fully utilizes the " Internet + " technology to upgrade the entire factory's network and data platform, conduct intelligent integration analysis of the core data of production data, optimize the unit operation mode, and improve the unit control accuracy. , realizes one-click start of the unit, the startup time is shortened by 2.5 hours compared with the original, and saves 500,000 yuan in a single start-up cost; develops an intelligent equipment status assessment system, and uses different diagnostic models to achieve intelligent fault warning and diagnosis of the main and auxiliary equipment. Realize intelligent operation of the entire plant, intelligent fuel management, and intelligent equipment management.

Author: Shen Lixiang Editor-in-chief: Zhen Guangxu

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