A Real-Time Fault Image Recognition System of Intelligent Distribution Network Based on Artificial Neural Network
The fault recognition accuracy of distribution network inspection is often low due to the poor extraction effect of image features.For this reason,an intelligent distribution network real-time fault image recognition system based on artificial neural network is designed.The system designs the frame structure according to MVC design pattern,which includes the UAV acquisition layer,data transmission layer and ground station system operation layer.In the hardware design part,with the help of the UAV equipped with photographing equipment,the image of distribution network equipment is collected,and the image is transmitted to the ground station through wireless data transmission station to implement image processing and recognition.In the software part,using artificial neural network algorithms combined with particle swarm optimization,four key functional modules are designed,including patrol path planning,image acquisition and transmission,image feature extraction and image recognition.The results show that under the application of the designed system,the distribution network faults in the research area are identified.In addition,through the image samples,the accuracy of the system identification results is more than 94.5%,which proves the effectiveness of the system.
artificial neural networkintelligent distribution networkinspection pathimage recognition
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