An intelligent cloud perspective power station operation and maintenance method

By deploying edge computing nodes at the power plant site and building a three-level associated data model in the cloud, data preprocessing and hierarchical storage are performed, and visualization and dynamic alarms are displayed on multi-screen terminals. This solves the problems of fragmented data integration, disconnect between real-time and historical analysis, and single alarm mechanism in the power plant operation and maintenance system, realizes full-process intelligent operation and maintenance, and improves operation and maintenance efficiency and fault handling speed.

CN121440899BActive Publication Date: 2026-07-24BEIJING HUAFUJUNENG SCI & TECH
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Patent Information

Application Number
CN202511598965.X
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2025-11-04
Publication Date
2026-07-24
Estimated Expiration
2045-11-04

AI Technical Summary

Technical Problem

Existing power plant operation and maintenance systems suffer from fragmented data integration, a disconnect between real-time and historical analysis, interaction and performance bottlenecks, and a simplistic alarm mechanism, resulting in low operation and maintenance efficiency and failing to meet the needs of power plants for efficient monitoring, accurate analysis, and rapid response.

Method used

By deploying edge computing nodes at the power plant site to collect multi-source data, preprocessing it, and uploading it to the cloud, a three-level correlation data model of power plant-equipment-sensor is constructed. Combined with a hierarchical storage strategy, the data is cached and stored, and then visualized and dynamically adjusted on multi-screen terminals. Work orders are generated simultaneously for operation and maintenance.

Benefits of technology

It realizes intelligent management of the entire process of power plant data acquisition, processing, storage, display and operation and maintenance. Operation and maintenance personnel can intuitively grasp the real-time status and historical trends, quickly locate equipment anomalies, reduce the false alarm rate by 70% with dynamic alarm thresholds, and shorten the fault handling cycle from 4 hours to 1 hour, significantly improving operation and maintenance efficiency and reducing costs.

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Abstract

The application provides a kind of wisdom cloud perspective power station operation and maintenance method, belongs to wisdom power station operation and maintenance technical field, including: based on the edge computing node of power station field deployment collection multi-source data, and the data collected are preprocessed;In cloud based on MySQL Construction power station-equipment-sensor three level associated data model of preprocessed data, and in combination with layered storage strategy, the preprocessed data received in cloud is cached and stored;From cache storage, extract real-time heat map and historical curve, and render the superimposed display results to visualize on multi-screen terminal, at the same time, based on the back-end deployment Drools rule engine, combined with historical data and weather API dynamically adjust alarm threshold, and in multi-screen terminal differential display and sound effect playing;Synchronous generation work order to carry out operation and maintenance of power station site. Significantly improve the efficiency of power station operation and maintenance, reduce operation and maintenance cost, and ensure long-term stable operation of power station.
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