Hydropower station intelligent management method and system

By using cloud data centers and intelligent management base stations in the intelligent management system of hydropower stations, combined with artificial intelligence algorithms and OPC UA protocol, the problems of insufficient data processing capabilities, lack of adaptability and excessive manual intervention in the existing technology are solved, and efficient and automated intelligent management of hydropower stations is achieved.

CN119721964AActive Publication Date: 2025-03-28SANXIA JINSHAJIANG YUNCHUAN HYDROPOWER DEV CO LTD
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Patent Information

Application Number
CN202411777567.X
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-12-05
Publication Date
2025-03-28
Estimated Expiration
2044-12-05

AI Technical Summary

Technical Problem

The existing intelligent management technology of hydropower stations is unable to process large-scale real-time data, lacks adaptability, and relies on manual intervention, which increases operational costs and the probability of errors.

Method used

The cloud data center and intelligent management base station are adopted, and the data analysis model and the hydropower station intelligent management model are built using artificial intelligence algorithms. Data collection and processing are carried out through the OPC UA protocol to realize real-time data analysis and automatic execution of intelligent management strategies.

Benefits of technology

It improves the accuracy and timeliness of data analysis, enhances the adaptability and management efficiency of different hydropower stations, significantly reduces manual intervention, reduces operating costs and error rates, and makes the decision-making process more scientific and objective.

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Abstract

The invention belongs to the technical field of intelligent management, and discloses an intelligent management method and system for a hydropower station. The method comprises the following steps that a cloud data center constructs a data analysis model and a hydropower station intelligent management model; the intelligent management base station constructs an OPC UA instance according to the physical entity data of the target physical entity; the data acquisition device is used for acquiring real-time monitoring data and writing the real-time monitoring data into an OPC UA instance; the intelligent management base station performs data analysis by using a data analysis model; the intelligent management base station uses a hydropower station intelligent management model to carry out hydropower station intelligent management; and the intelligent management base station encrypts and uploads the real-time OPC UA information data, the real-time data analysis result and the real-time hydropower station intelligent management strategy to the cloud data center for distributed storage. According to the invention, the problems of insufficient data processing capability, lack of adaptive capability and excessive manual intervention in the prior art are solved.
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