Mountain area power distribution overhead line bare conductor deicing device and method

The invention discloses a mountainous area power distribution overhead line bare conductor deicing device and method, and relates to the technical field of overhead power transmission and distribution cable protection equipment, and the device comprises an unmanned aerial vehicle, a wire falling mechanism, an automatic deicing mechanism and a magnetic attraction mechanism. The deicing method comprises the steps that the automatic deicing mechanism is carried to the position near a line needing to be deiced through the unmanned aerial vehicle, the line needing to be deiced is automatically sleeved with the automatic deicing mechanism for deicing, the unmanned aerial vehicle can be hung on the line through the line falling mechanism, and the deicing process is shot through a binocular camera of the unmanned aerial vehicle; an operator can observe the deicing process on the ground through a display screen of the remote control terminal. The mountainous area power distribution overhead line ...

Power distribution network overhead line defect detection method and system

The invention relates to a power distribution network overhead line defect detection method and system, and belongs to the technical field of power distribution networks, and the method comprises the steps: constructing a training set and a correction set based on a historical overhead line inspection data set; training a defect detection model based on the training set to obtain a trained defect detection model; correcting the trained defect detection model based on the correction set to obtain a corrected defect detection model; and obtaining real-time image data of the overhead line, and combining the corrected defect detection model to obtain a real-time defect detection result of the overhead line. According to the invention, the accuracy and speed of power distribution network overhead line defect detection are improved.

Ultrasonic detection method and system for partial discharge of power distribution network

The present disclosure relates to an ultrasonic detection method and system for partial discharge of a power distribution network based on deep learning. The method includes: training a neural network model; converting an ultrasonic signal of a partial discharge defect of to-be-detected power distribution network equipment into Mel Frequency Cepstral data; inputting the Mel Frequency Cepstral data into a periodic neural network layer for learning to obtain a first feature; inputting an image of the partial discharge defect of the to-be-detected power distribution network equipment into a convolution neural network layer for learning to obtain a second feature; linearly splicing the first feature and the second feature to obtain a third feature; and inputting the third feature into a multilayer fully-connected layer to obtain a detection result of the to-be-detected power distribution network equipment. Compared with the existing manual detection method, the detection method and system provided by the present disclosure are more efficient and accurate.

Ultrasonic detection method and system for partial discharge of power distribution network