Integrated non-contact online monitoring device for combined electric equipment in substation

Abstract

The invention discloses an integrated non-contact online monitoring device for combined electric equipment in a substation. The device comprises a signal acquisition front end part for monitoring thecombined electric equipment and outputting corresponding data, a system main control module for acquiring the monitored data and outputting result information of comprehensive analysis of the data, asignal acquisition module for receiving the data monitored by the signal acquisition front end part and uploading signals obtained after analog-to-digital conversion and modulation of the data to thesystem main control module, and a wireless receiving and transmitting module for receiving the result information and transmitting the result information to a background server; the signal acquisitionfront end part is provided with an infrared sensor for shooting infrared images of the combined electric equipment regularly to monitor temperature and outputting infrared signals, a visible light camera for recording videos or shooting images of the combined electric equipment in the substation regularly and outputting video and image signals, and a partial discharge sensor for acquiring and detecting ultrahigh frequency signals radiated by the combined electric equipment in real time and outputting partial discharge signals.

Description

technical field [0001] The invention relates to the field of substation monitoring, in particular to an integrated non-contact online monitoring device for combined electrical appliances in a substation. Background technique [0002] In recent years, with the development of online monitoring technology, the application of GIS online monitoring technology and products has become more and more common. GIS online monitoring products are the necessary basic system for operation and maintenance monitoring of smart substations. The sealing is very strong. Once the hidden troubles are not checked out in time during the operation process, and the troubles are not eliminated in time, not only will the substation suffer huge losses, but it will also cause great damage to the electricity users. [0003] Some traditional detection and operation and maintenance methods of combined electrical appliances (GIS) in substations have not yet realized long-term continuous online monitoring, and...

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Problems solved by technology

[0002] In recent years, with the development of online monitoring technology, the application of GIS online monitoring technology and products has become more and more common. GIS online monitoring products are the necessary basic system for operation and maintenance monitoring of smart substations. The sealing is very strong. Once the hidden troubles are not detected in time during the operation process, and the troubles are not eliminated in time, not only will the substation suffer huge losses, but it will also cause great damage to the electricity users.

[0003] Some traditional detection and operation and maintenance methods of combined electrical appliances (GIS) in substations have not yet realized long-term continuous online monitoring, and the traditional mode of regular inspection by fixed personnel is still used. The efficiency and accuracy of data collection are greatly affected by human beings, and The data acquisition period is very long; in recent years, some detection technologies have begun to be transformed into long-term continuous online monitoring technologies, such as partial discharge on-line monitoring and video image online technology, which have been widely used in power grids, but these technologies are single The system only continuously monitors one signal source or hidden trouble factor, and it is difficult to guarantee the efficiency and accuracy of data

[0004] Using traditional personnel regular inspections or a single online monitoring system as the big data collection method for smart grid operation and maintenance will result in a huge workload for personnel, low data accuracy, and a large amount of data information collected by each independent system cannot be effectively integrated. At the same time, it faces the problems of high product cost, high investment cost, and the data islands of each independent system cannot be comprehensively diagnosed

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