Open water power set remote fault diagnosis platform

Abstract

The invention discloses an open water power set remote fault diagnosis platform and aims to establish a distributed diagnosis, control and data management configuration among power plants, branch offices and a group, improve remote fault diagnosis efficiency of a water power set and reduce cost. A system comprises the open water power set remote fault diagnosis platform. The open water power set remote fault diagnosis platform is characterized by comprising a group remote end, multiple branch office centralized control ends, multiple power plant terminals and application clients which are connected through the network, wherein the branch office centralized control ends are respectively connected with the multiple power plant terminals, operation state information data of the water power set is acquired by the power plant terminals and is transmitted to the corresponding office branch networks, and relevant processing and storage work is carried out through branch office data centers; the water power set operation data acquired by the power plant terminals is acquired by the group remote end, fault diagnosis of the water power set is carried out according to the acquired water power set operation data, and the water power set operation state information and the fault diagnosis result information of the power plant terminals are provided through a WEB server for the application clients of the network.

Description

technical field [0001] The invention relates to the technical field of fault diagnosis of hydroelectric units, in particular to an open platform for remote fault diagnosis of hydroelectric units. Background technique [0002] The excellent quality and high reliability of hydroelectric unit equipment are the fundamental requirements for the stable operation of hydropower plants, and will directly affect the operating costs and benefits of hydropower plants. From the experience of hydroelectric unit operation at home and abroad, vibration faults are an important part of hydroelectric unit equipment failures, accounting for about 80% of unit failures. The core equipment involved mainly includes: turbines, generators, shafting bearings and transformers. [0003] As a complex system, the hydroelectric unit has various fault locations and types. The existing remote fault diagnosis technology for hydroelectric units still has the defects of low real-time performance and low efficie...

AI Technical Summary

Problems solved by technology

[0003] As a complex system, the hydroelectric unit has various fault locations and types. The existing remote fault diagnosis technology for hydroelectric units still has the defects of low real-time performance and low efficiency.

Moreover, there is no network system that integrates monitoring, diagnosis, management, and maintenance of multiple regions and multiple units in China.

The analysis function of the existing hydroelectric unit monitoring system is not strong enough; some expert system technology is used to provide the primary fault diagnosis function, and there is a lack of a lot of valuable on-site actual diagnosis experience, which has a big gap with the actual application of the project

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