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Research on Fire Detection Method Based on Fuzzy Expert System

机译:基于模糊专家系统的火灾探测方法研究

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In this paper, digital image processing and fuzzy expert system are combined to study fire detection method. The flame characteristics of fire occurrence and development are studied from the perspective of image processing. Firstly, the moving target of the flame area is extracted; Secondly, four characteristic parameters are selected as evaluation indexes for the flame combustion characteristics, and fuzzy mathematics is used to determine the fuzzy membership function and weight of each evaluation index; Thirdly, the acquired knowledge is expressed in the form of rule programming, and a knowledge base of the fire detection expert system is constructed; Lastly, the analysis and calculation program is written, the test results on a large number of videos are consistent with the actual situation, verifies the effectiveness of the proposed fire detection method.
机译:本文将数字图像处理与模糊专家系统相结合,研究火灾探测方法。从图像处理的角度研究了火灾发生和发展的火焰特征。首先,提取火焰区域的运动目标;其次,选择四个特征参数作为火焰燃烧特性的评价指标,并运用模糊数学方法确定各评价指标的模糊隶属度和权重。第三,以规则程序的形式表达所获得的知识,并建立火灾探测专家系统的知识库。最后编写了分析计算程序,对大量视频的测试结果与实际情况相吻合,验证了所提方法的有效性。

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