机器视觉在电力电子设备自动化控制中的应用分析

Q3 Multidisciplinary

Archives Des Sciences Pub Date : 2024-03-10 DOI:10.62227/as/74115

Jieping Zhang

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引用次数: 0

摘要

本研究的核心是机器视觉在电力电子设备自动化控制中的应用，研究目的是提高电力设备的运行效率和安全性。研究将 PLC 和物联网技术相结合，构建了一个智能监控系统，利用机器视觉技术识别电力电子设备的状态。研究结果表明，该系统在开关柜图像识别方面的准确率达到98%，SIFT算法在设备状态识别方面表现优异，识别时间最短为7.17秒，最长不超过29.98秒。机器视觉技术有效提高了电力设备的自动化和智能化水平，对电力行业的发展具有重要意义。

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Analysis of the Application of Machine Vision in the Automation Control of Power Electronic Equipment

This research centers on the application of machine vision in the automation control of power electronic equipment, and the purpose of the research is to improve the operation efficiency and safety of power equipment. The research combines PLC and IoT technology to build an intelligent monitoring system, which uses machine vision technology to recognize the state of power electronic equipment. The research results show that the system achieves 98\% accuracy in switchgear image recognition, and the SIFT algorithm performs superiorly in equipment state recognition, with the shortest recognition time being 7.17 seconds and the longest not exceeding 29.98 seconds. Machine vision technology effectively improves the automation and intelligence level of power equipment, which is of great significance to the development of power industry.

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