An intelligent evaluation system and method of substation equipment state based on big data

Abstract

The invention relates to a substation equipment state intelligent evaluation system and method based on big data. The intelligent evaluation system adopts a B / S mode, the data collection module obtains the real-time operation data of the substation equipment, Basic parameters, Overhaul data, etc, the data processing module processes the real-time running data, the substation state evaluation module receives the data collected by the data collection module and the data processed by the data processing module, and the AI state evaluation and prediction method is used to evaluate the health of substation equipments, the data standardization module carries on the data standardization processing to the overhaul data, the display early warning module monitors and warns the data of the data processing module. Compared with the prior art, the invention has the advantages of strong synchronization ability, increased data comprehensive cross analysis and processing ability, forward-looking and the like for evaluating and predicting the health status of the main equipment of the substation.

Description

technical field [0001] The invention relates to the technical field of substation operation, in particular to a system and method for intelligently evaluating the state of substation equipment based on big data. Background technique [0002] During the daily use and operation of power equipment, due to the influence of load, internal stress, wear, corrosion and other factors, individual parts or the whole will change in form, composition and electrical performance. This performance degradation phenomenon will Reduce the reliability of power equipment, and even cause accidents in severe cases. [0003] Substation monitoring equipment mainly monitors the operating status of electrical and mechanical equipment in the substation link, and obtains information about its operating status and operating quality through various sensors to dynamically track the development of various degradation processes, so that the power The operation and maintenance management department repairs a...

AI Technical Summary

Problems solved by technology

[0006] Problems such as inconsistent interfaces, inconsistent data types, inconsistent threshold standards, and inconsistent alarm mechanisms are common

[0007] 2) The stability and reliability of the data needs to be improved:

[0012] Relatively single monitoring and evaluation technology; lack of comprehensive data processing

It has a certain independent alarm function for transient and transient sudden faults, but it is difficult to realize automatic, intelligent, and efficient prediction and evaluation of steady-state hidden faults and equipment aging after long-term operation of equipment (while the steady-state hidden faults of equipment Including faults and aging faults, which are the main aspects of equipment faults)

[0013] 5) The in-depth application of data is missing:

[0014] There is basically no horizontal comprehensive analysis and application of data from various online monitoring devices, lack of causal connection and data integration between data, and it is difficult to play the role of the overall installation of online monitoring devices; equipment status evaluation and diagnosis lack scientific data models And quantifiable basis, mainly rely on personnel experience, it is difficult to realize active evaluation of equipment status

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