Distribution network line fault diagnosis method and device considering man-machine-object cooperation

Abstract

The invention discloses a distribution network line fault diagnosis method and device considering man-machine-object cooperation. The method comprises the steps of obtaining a current unmanned aerial vehicle return image and current distribution line return data; comparing the returned image with a historical non-fault image in a deep belief network; and if the current distribution line return data and the historical data of the distribution line fault information are different, clustering the current distribution line return data and the historical data of the distribution line fault information, and judging the fault type corresponding to the current distribution line return data. The method can effectively improve the diagnosis precision and speed, rapidly judges the specific fault of the distribution line, optimizes the fault analysis process, and improves the regional power supply reliability.

Description

technical field [0001] The present application relates to the technical field of power system fault diagnosis, in particular to a method and device for fault diagnosis of distribution network lines considering human-machine-object collaboration. Background technique [0002] With the rapid development of my country's economy, the demand for energy is increasing, and the ultra-high voltage and large-capacity power lines are being greatly expanded. However, my country's power line corridors need to pass through various complex geographical environments, most of which pass through large-area reservoirs, lakes and mountains, etc., which have brought many difficulties to the detection of power lines. At the same time, patrol inspection is affected by too many human factors, which will endanger the lives of patrol workers in dangerous areas, and the amount of manual input data is large, and errors are easy to make during the manual data input process. The use of unmanned aerial v...

AI Technical Summary

Problems solved by technology

However, my country's power line corridors need to pass through various complex geographical environments, and most of them pass through large-scale reservoirs, lakes and mountains, which bring many difficulties to the detection of power lines

At the same time, patrol inspection is affected by too many human factors, which will endanger the lives of patrol workers in dangerous areas, and the amount of manual data entry is large, and errors are prone to errors during manual data entry.

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