Intelligent integrated non-contact online monitoring device for cable layer

Abstract

The invention discloses an intelligent integrated non-contact online monitoring device for a cable layer. The device comprises a signal collection front end part, a signal collection module and a system main control module; the signal collection front end part monitors the cable layer of a transformer substation and outputs corresponding data; the signal collection module conducts analog-digital conversion and signal modulation on data output by the signal collection front end part; the system main control module receives modulated signals for analysis and processing; the signal collection front end part is provided with a visible light camera, an infrared camera and a partial discharge sensor; the visible light camera conducts video recording or image shooting on the cable layer of the transformer substation at fixed time; the infrared camera takes an infrared picture of the cable layer of the transformer substation to monitor the temperature; the partial discharge sensor collects anddetects ultra-high-frequency signals radiated from the cable layer of the transformer substation in real time; the system main control module receives modulated infrared signals, partial discharge signals and video and image signals for lateral comparison.

Description

technical field [0001] The invention relates to the field of electric equipment monitoring, in particular to an intelligent integrated non-contact online monitoring device for cable layers. Background technique [0002] In recent years, with the development of online monitoring technology, the application of online monitoring technology and products has become more and more common. In particular, the monitoring system in the cable layer is an essential basic system for the operation and maintenance monitoring of smart substations. The cable layer in smart substations is generally located underground. , The sealing is very strong, once the hidden troubles are not detected in time during the operation process, and the faults are not eliminated in time, not only the substation will suffer huge losses, but also the electricity users will suffer great damage. [0003] The traditional detection and operation and maintenance methods of the cable layer in the substation have not yet...

AI Technical Summary

Problems solved by technology

[0002] In recent years, with the development of online monitoring technology, the application of online monitoring technology and products has become more and more common. In particular, the monitoring system in the cable layer is an essential basic system for the operation and maintenance monitoring of smart substations. The cable layer in smart substations is generally located underground. , 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 the substation will suffer huge losses, but also the power users will suffer great damage

[0003] The traditional detection and operation and maintenance methods of the cable layer in the substation have not yet achieved 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 collection cycle is very Long; in recent years, some detection technologies have begun to be transformed into long-term continuous online monitoring technologies, such as video image online technology, which has been partially applied by power grid users, but such technologies are single systems, only for one signal It is difficult to guarantee the efficiency and accuracy of data due to continuous monitoring of sources or potential failure factors.

[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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