Cable terminal thermal state intelligent diagnosis method and system

Abstract

The invention relates to a cable terminal thermal state intelligent diagnosis method and system, and the method comprises the steps: marking the infrared image information, photographed in an inspection process, of a cable terminal, and constructing a training sample; constructing a Faster RCNN network, and training the Faster RCNN network by adopting the training sample; inputting infrared imageinformation of a to-be-detected cable terminal into the trained Faster RCNN network for recognition and positioning, and obtaining the type and position of a target diagnosis object; and performing thermal state diagnosis on the identified and positioned target diagnosis object according to a preset diagnosis standard. By constructing the Faster RCNN network and utilizing the trained Faster RCNN network to automatically identify and position the infrared image information of the to-be-detected cable terminal, thermal diagnosis is completed, the part of manual operation in current infrared diagnosis can be effectively replaced, the dependence on manual processing and analysis is reduced, the diagnosis efficiency is greatly improved, and the diagnosis accuracy is improved.

Description

technical field [0001] The invention relates to the technical field of cable monitoring and diagnosis, in particular to an intelligent diagnosis method and system for the thermal state of a cable terminal. Background technique [0002] Power cables have good electrical and mechanical properties, as well as environmental friendliness, and are currently widely used in power systems. Cable terminals are devices used to connect cables to other electrical equipment. Affected by the manufacturing process and the need for on-site installation, the cable terminal becomes the weak link of the cable system. Whether the cable terminal is in normal operation will affect the stability of the cable system. [0003] Both theoretical analysis and actual test results show that the temperature of the cable terminal with defects is usually higher than that of the cable terminal under normal conditions. Therefore, measuring the temperature of the cable terminal becomes an effective means of ...

AI Technical Summary

Problems solved by technology

On the one hand, due to the huge number of infrared images of the cable terminals, this kind of diagnosis method relies on manual processing and analysis with low efficiency; on the other hand, due to excessive reliance on manual experience, it may cause missed or wrong judgments

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