基于图像处理的无人变电站火灾探测技术研究

Jun-zhe Zhou, G. Song
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引用次数: 4

摘要

随着新科技的快速发展,无人变电站是电力系统发展的新趋势。火灾探测技术是无人变电站的重要组成部分。如何对火焰进行判断是图像型火灾探测技术的关键。本文对某无人变电站在环境下的火灾探测的具体过程和测试过程的各个步骤进行了较为详细的阐述,通过微分确定、图像提取、火焰识别三个步骤对火焰测试做了考虑。与传统探测方法相比,该方法可大大提高火灾预测的准确性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Research on the Technology of Fire Detection Based on Image Processing in Unmanned Substation
Nowadays, unmanned substation is a new trend for electrical power system with the fast development of new science and technology. Fire detection technology is the major part of unmanned substation. How to judge the fire flame is the key of image-type fire detecting technology. In this paper, a unmanned substation in the environment of the specific process of fire detection and testing process for each step in more detail, through the differential to determine, image extraction, flame recognition three steps on the flame testing done considering. The method can greatly improve veracity of fire prediction, comparing with the traditional detection method.
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