基于人工智能的图像识别技术在生产领域运行控制中的应用

Sun Rongrong, Li Qing, Song Xin, Ning Baifeng, Luo Yulin
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引用次数: 1

摘要

图像处理技术和智能识别技术在电力设备图像识别与分析中的应用是监测电力设备运行状态的一种新方法。特别是在高压、危险、恶劣的环境中,可以实时获取电力设备的运行状态。同时,该方法可以减少调度员的工作量,提高在线监控的自动化程度。本文提出了一套用于故障检测的图像处理与识别方法,其中采用最大类间方差法选择阈值、顺序相似法识别、帧差法判断等方法对电力设备进行在线监测,取代了传统的人工检测,提高了检测效率。实验结果表明,该图像识别方法综合了各种技术的优点,处理结果更加准确。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Application of Image Recognition Technology Based on Artificial Intelligence in Operation Control of Production Domain
The application of image processing technology and intelligent recognition technology in power equipment image recognition and analysis is a new method to monitor the operation status of power equipment. Especially in the high voltage, dangerous and harsh environment, it can obtain the operation status of power equipment in real time. At the same time, this method can reduce the workload of dispatchers and improve the automation degree of on-line monitoring. In this paper, a set of image processing and recognition methods for fault detection are proposed, in which the maximum inter class variance method selection threshold, sequential similarity method identification, frame difference method judgment and other methods are used for on-line monitoring of power equipment, which replaces the traditional manual inspection and improves the efficiency. The experimental results show that this image recognition method integrates the advantages of various technologies, and the processing results are more accurate.
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