Convolutional network lightweight-based power transmission channel safety monitoring method and system

• Main Authors: ZHANG JUNCHI, JIANG YINGYING, WANG KUNFENG, ZHU WENJIE
• Format: Patent
• Language: Chinese; English
• Published: 24.11.2023
• Subjects: CALCULATING; CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTINGELECTRIC POWER; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS; COMPUTING; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER; COUNTING; ELECTRIC DIGITAL DATA PROCESSING; ELECTRICITY; GENERATION; PHYSICS; SYSTEMS FOR STORING ELECTRIC ENERGY

The invention belongs to the field of power transmission channel safety monitoring, particularly relates to a power transmission channel safety monitoring method and system based on convolutional network lightweight, and aims to solve the problems that a convolutional neural network is complex in structure, large in calculation amount, low in reasoning speed and difficult to deploy in edge equipment with low calculation power in power transmission channel safety monitoring. The method comprises the following steps: acquiring a power transmission channel safety monitoring data set, and carrying out data preprocessing and labeling; extracting a feature corresponding to any data, constructing a PG convolutional layer and a PGBlock network, and constructing a PGC3 network based on the PGBlock network; replacing a convolutional layer of the YOLOv5s network with a PG convolutional layer, replacing a C3 structure of the YOLOv5s network with a PGC3 network, and performing network iteration training; and deploying the