GIS and method with remote self-diagnosis function

Abstract

The invention discloses a GIS and method with a remote self-diagnosis function. The GIS with the remote self-diagnosis function comprises a process layer, a partition layer and a station control layer; the process layer, the partition layer and the station control layer are in signal connection, and a built-in sensor device is designed on the basis of the GIS. The sensor device comprises a currentsensor, a travel sensor, an SF6 sensor, a partial discharge sensor, an ECVT, a video sensor, a vibration sensor and a lightning arrester sensor; the output end of the current sensor is in bidirectional signal connection with an intelligent terminal, and the output ends of the travel sensor, the vibration sensor, the video sensor, the lightning arrester sensor and the SF6 sensor are all in signalconnection with the input end of an online monitoring IED. Intelligent GIS monitoring point acquisition is integrated, and real-time online state evaluation and diagnosis are formed.

Description

technical field [0001] The invention relates to the technical field of power GIS systems, in particular to a GIS system and method with a remote self-diagnosis function. Background technique [0002] As one of the most important devices in smart substations, intelligent GIS is still in the stage of exploration and application in terms of extracting typical characteristic parameters of the equipment's own failure modes and performing intelligent analysis and processing due to its low level of intelligence. It has a high degree of self-diagnosis There is still a certain distance between the capacity and these factors have affected the pace of smart substation construction in terms of advanced data applications. At present, it is difficult to make accurate judgments on the status of GIS in actual operation, and it is difficult to conduct comprehensive monitoring. There are three main problems: [0003] 1) The complex structure of GIS, many action parts and high requirements ma...

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Problems solved by technology

[0002] As one of the most important devices in smart substations, intelligent GIS is still in the stage of exploration and application in terms of extracting typical characteristic parameters of the equipment's own failure modes and performing intelligent analysis and processing due to its low level of intelligence. It has a high degree of self-diagnosis There is still a certain distance in the ability, these factors affect the pace of smart substation in the construction of advanced data applications

At present, it is difficult to make accurate judgments on the status of GIS in actual operation, and it is difficult to conduct comprehensive monitoring. There are three main problems:

[0003] 1) The complex structure of GIS, many action parts and high requirements make it difficult to make an accurate judgment on the state of GIS, and it is difficult to collect and determine the monitoring quantities that affect the state of the equipment, which hinders the finalization and development of monitoring equipment. At present, there is no mature and reliable one. GIS online monitoring system put into operation

[0004] 2) The existing monitoring and sampling control system in the station, its sampling and communication methods cannot meet the requirements for online monitoring in the condition-based maintenance mode, and these systems are independent of each other, and the monitoring data cannot be shared

[0005] 3) There will be a large amount of real-time and historical data in the online monitoring and sampling of GIS. At present, both in data storage and data value mining, it is relatively rudimentary, and basically stays in the status diagnosis research of a single GIS device, without Carry out comprehensive diagnosis and analysis on dozens or even hundreds of GIS equipment at the same time, the current status diagnosis effect cannot accurately and timely generate maintenance decisions

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