Research on Fire Detection Method Based on Fuzzy Expert System

被引：0
|
作者：
Ye, Xiaozhou [1 ]
Zhang, Danhong [1 ]
Zhou, Yang [1 ]
机构：
[1] Wuhan Univ Technol, Sch Automat, Wuhan, Peoples R China
来源：
2019 34RD YOUTH ACADEMIC ANNUAL CONFERENCE OF CHINESE ASSOCIATION OF AUTOMATION (YAC) | 2019年
关键词：
flame characteristics; fuzzy expert system; fuzzy mathematics; evaluation model;
D O I：
10.1109/yac.2019.8787711
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this paper, digital image processing and fuzzy expert system are combined to study fire detection method. The flame characteristics of lire 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 lire 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.
引用
收藏
页码：160 / 164
页数：5
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