A power plant operation monitoring system, method and electronic equipment

By introducing AI employee modules and control decision modules into the power plant operation monitoring system, the problems of untimely response and unstable control accuracy caused by manual judgment and decision-making in the prior art are solved, faster response and more stable control accuracy are achieved, and labor costs are reduced.

CN119758888APending Publication Date: 2025-04-04北方联合电力有限责任公司包头第一热电厂
0 Cites 0 Cited by

Patent Information

Application Number
CN202411722871.4
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-11-28
Publication Date
2025-04-04

AI Technical Summary

Technical Problem

The existing power plant operation monitoring system requires manual judgment and decision-making, resulting in untimely response, unstable control accuracy, and high labor costs.

Method used

A power plant operation monitoring system is adopted, including distributed control system (DCS), artificial intelligence (AI) employee module and control decision module. The AI ​​employee module monitors the operating status data of power plant equipment in real time, and generates decision instructions through the control decision module in abnormal situations, and performs adjustments through the DCS system.

Benefits of technology

Through real-time monitoring and rapid response of AI employee modules, the control response speed is improved, stable control accuracy is maintained, manual monitoring and operation needs are reduced, and labor costs for power plant operation are reduced.

✦ Generated by Eureka AI based on patent content.
Patent Text Reader

Abstract

The present application discloses a power plant operation monitoring system, method and electronic equipment, which relates to the field of data processing technology, including: a DCS system, an AI employee module and a control decision module; the AI ​​employee module is connected to the DCS system and the control decision module; the AI ​​employee module is used to monitor the power plant equipment based on the collected operation status data of the power plant equipment, and when the operation status data is monitored to be abnormal, a decision instruction is generated through the control decision module, and the decision instruction is executed through the DCS system to adjust the operation status data of the power plant equipment. Compared with the current existing technology, the present application can monitor and quickly respond to the state changes of power plant equipment in real time through the AI ​​employee module, improve the control response speed, and maintain stable control accuracy. By using the AI ​​employee module, the demand for manual monitoring and operation can be reduced, and the manpower cost of power plant operation can be reduced.
Need to check novelty before this filing date? Find Prior Art