2022In that year, our company implemented the "Thermal Control Condition-based Maintenance Platform" project for Huaneng Weihai Power Plant. This project included: low-code cloud platform, visual and editable expert model libraryDCSDirect data connection, real-time database, stream computing, offline computing. Complete the construction of modules such as control system diagnosis, control performance evaluation, thermal control equipment diagnosis, automatic protection analysis, exhibition center, personal center, and technical management.

Project Introduction

This project aims to develop a set of thermal control status assessment and maintenance decision support platform, includingDCSThe four major diagnostic and analysis functional modules of important thermal control equipment such as the control system, thermal control automatic control loop, protection interlock, and measurement points and valves, through the installation of new equipment and integration of existing onesDCSProcess data comprehensively collects parameters that reflect the status of the monitored equipment. Through big data analysis, status assessment systems, and expert diagnosis systems, real-time detection of the equipment is carried out, and in-depth comprehensive analysis of the detection results is conducted to push out fault causes and suggestions for handling measures.

Through the implementation of the project, a condition-based maintenance system for thermal control equipment will be established to comprehensively monitor and supervise the status of the thermal control equipment. A comprehensive analysis will be conducted on the operation status of the equipment, factors affecting safety, economy and reliability, and the prospects of the equipment will be predicted. Based on the results, the maintenance content and time will be determined.

Implementation effect

This system is based on on-site measurement dataDCSBased on process parameters, big data mining and analysis, etc., data summary, data analysis, fault diagnosis are carried out, and equipment status information, diagnostic conclusions, assessment reports, etc. are pushed to the platform, achieving:

1. Comprehensive management of equipment information: Taking the equipment ledger as the overall data source of the platform, and the power plantKKSBased on the coding system, a comprehensive ledger database that is compatible with various specialties and parameter information and can be flexibly expanded has been established, which can integrate allDCSAll kinds of status information, real-time data and real-time related to point tables/Historical trends and operation and maintenance records are integrated under one platform to achieve one-stop information query, event tracking, and trend analysis, realizing data origin and multi-code integration.

2. Data summary and analysis: AllDCSReal-time data from data points (including logical variable points) is aggregated to the platform for unified management. Important measurement points and process parameters are centrally displayed, subjected to big data mining, summary analysis, and diagnosis and early warning.

3. DCSAnalysis of the underlying quality code: ObtainedDCSUnderlying quality code data Establish a data dictionary and conduct in-depth analysis and potential tapping of fault codes to achieveDCSReal-time status monitoring and abnormal early warning of the system;

4. Diagnostic model editing function: The flexible low-code platform provides users with a powerful model editor, which can optimize and improve the diagnostic models within the system and add new diagnostic models according to user needs.

5. Fault warning push:The platform integrates tens of thousands of diagnostic rules, which can monitor the status of equipment in real time, push equipment failure early warning information, improve the timeliness of identifying and solving problems, and prevent the expansion of defects caused by untimely intervention.

6. Automatic protection analysis: Real-time monitoring and diagnosis of the automatic control performance of the unit and the status of protection interlocks are conducted to promptly identify control anomalies, reduce non-shutdown events of the unit caused by thermal control issues, and through the protection analysis function, provide operation personnel with operation causes and handling measures in a timely manner, thereby enhancing the timeliness and accuracy of accident handling.