Intelligent examination system for data accuracy of online monitoring device

Abstract

The invention belongs to the technical field of electric power monitoring, relates to an intelligent examination system for the data accuracy of an online monitoring device, and particularly relates to an intelligent examination method for examination the data accuracy of an online monitoring device which performs examination based on an error limiting value between online data and live detectiondata. The intelligent examination method can be applied to intelligent examination and comparison for the data accuracy of the online monitoring device, an error limiting value result is used for classifying the data accuracy when the online device data is automatically compared with the live detection data of corresponding main equipment, curing is carried out by a program, classification can beautomatically carried out, the data comparison is patterned, and a tendency comparison result is obtained. According to the intelligent examination system and method, in the intelligent data examination and comparison, the manual and physical resources needed by large quantity of manual comparison are saved while the accuracy of the result is ensured, inaccuracy of the result in the manual comparison process is avoided, the data comparison efficiency is improved, the operation status of the device is controlled, targeted overhauling and maintenance are carried out, and the application of the online monitoring device in an electric power system is improved.

Description

technical field [0001] The invention belongs to the technical field of electric power monitoring, and in particular relates to an intelligent verification system for data accuracy of an online monitoring device, in particular to an intelligent verification of the data accuracy of an online monitoring device based on the error limit between online data and charged detection data. method. Background technique [0002] The online monitoring device is an important technical means to realize the status operation and maintenance management of power transmission and transformation equipment, and to improve the lean level of production and operation management of power transmission and transformation. Through various sensor technologies and communication technologies, real-time perception, monitoring and early warning of equipment operation are realized, and analysis Equipment hidden dangers provide an important basis. In recent years, with the development of science and technology...

AI Technical Summary

Problems solved by technology

The data accuracy detection method of the device in operation is manual comparison based on live detection test data, which takes a long time and is prone to errors. It is laborious to classify and compare error results, and it is impossible to compare data trends

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