Research on Transmission Equipment Defect Detection based on Edge Intelligent Analysis

Abstract

In the transmission system, the continuous load operation and the external environment will make the equipment fault hidden danger, which will affect the stable operation of the transmission system. In this paper, an edge intelligent analysis system of transmission equipment defect image recognition is proposed. The system migrates the cloud image recognition to the edge. Feature Pyramid Network(FPN) is introduced into Single Shot MultiBox Detector(SSD) object detection algorithm based on MobileNet v1 feature extraction network to detect defects of different sizes in large-size, small-size, tower and insulator equipment. So as to realize the rapid positioning of defects and upload the results to the cloud. The results of system application show that the accuracy and recall rate of the proposed system are high. In the case of ensuring the detection accuracy, it meets the real-time requirements of detection. The system can effectively improve the automation level of transmission equipment operation and maintenance. While improving the operation and maintenance efficiency of transmission lines, the safe operation of the transmission system is ensured.

Intelligent Detection and Analysis of Software Vulnerabilities based on Encryption Algorithms and Feature Extraction

“…Maintenance work after failures is also difficult to carry out. After the delivery of equipment software, unauthorized changes to the software are also difficult to control, and local software changes may lead to unstable operation of the entire system software, affecting the normal use of military equipment [9]. Therefore, there is an urgent need to carry out research on software status detection and maintenance related technologies, achieve monitoring and management of ship software status changes through technical means, solve the problem of uncontrolled ship software status changes, and ensure software quality.A software inspection and maintenance system based on component scheduling, firstly, it can solve the problem of uncontrolled status of ship software, allowing users to clearly observe the status of all controlled ship software on each ship station and discover a list of unauthorized software status changes; Secondly, for problematic software, this system can quickly locate the source of the fault, promptly identify and handle the problem, avoiding maintenance personnel from aimlessly debugging and consuming a large amount of time and cost, enabling the problematic software to quickly resume normal operation, at the same time, it also saves a lot of manpower and resources; Finally, this system provides the only legal software release and update interface, and all ship software is deployed to various ship stations through this system, ensuring the unity of the overall software status of the fleet, standardizing the software release and update methods, simplifying the operation process, and enabling developers to focus more on improving the quality and functionality of ship software.…”