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
相关论文
共 50 条
  • [21] Research on the algorithm of avionic device fault diagnosis based on fuzzy expert system
    Li Jie
    Shen Shi-tuan
    CHINESE JOURNAL OF AERONAUTICS, 2007, 20 (03) : 223 - 229
  • [22] RESEARCH ON CHINESE MEDICINE EXPERT DIAGNOSIS SYSTEM BASED ON FUZZY INFERENCE THEORY
    Wu, C. H.
    BASIC & CLINICAL PHARMACOLOGY & TOXICOLOGY, 2016, 118 : 14 - 14
  • [23] Research on Intelligent Expert System for Material Selection Based on Fuzzy Comprehensive Judgment
    Chen, Shufa
    Han, Fushan
    2010 INTERNATIONAL CONFERENCE ON THE DEVELOPMENT OF EDUCATIONAL SCIENCE AND COMPUTER TECHNOLOGY, 2010, : 227 - 230
  • [24] Research and Application of Furnace Exception Forecasting by Expert System Based on Fuzzy Reasoning
    Li, Jianyong
    Yang, Yanqiu
    Li, Rui
    Tian, Li
    Wu, Zhenyi
    MECHANICAL ENGINEERING AND TECHNOLOGY, 2012, 125 : 493 - +
  • [25] Research on the Algorithm of Avionic Device Fault Diagnosis Based on Fuzzy Expert System
    LI Jie*
    Chinese Journal of Aeronautics, 2007, (03) : 223 - 229
  • [26] Research of surveying and mapping based on adaptive fuzzy neural network and expert system
    Zhang, J. (best_zjz@163.com), 1600, Advanced Institute of Convergence Information Technology, Myoungbo Bldg 3F,, Bumin-dong 1-ga, Seo-gu, Busan, 602-816, Korea, Republic of (07):
  • [27] Research upon Fault Diagnosis Expert System Based on Fuzzy Neural Network
    Yang Kun
    OuYang Guangyao
    Ye Lina
    2009 WASE INTERNATIONAL CONFERENCE ON INFORMATION ENGINEERING, ICIE 2009, VOL I, 2009, : 410 - +
  • [28] Applied Research of Grey - Fuzzy Algorithm in the Fire Detection
    Chen, Tao
    Jiang, Wei
    PROGRESS IN POWER AND ELECTRICAL ENGINEERING, PTS 1 AND 2, 2012, 354-355 : 1293 - 1297
  • [29] How Expert is EXPERT for Fuzzy Logic-Based System!
    Bhole, Kalyani
    Agashe, Sudhir
    Wadgaonkar, Jagannath
    INTERNATIONAL PROCEEDINGS ON ADVANCES IN SOFT COMPUTING, INTELLIGENT SYSTEMS AND APPLICATIONS, ASISA 2016, 2018, 628 : 29 - 36
  • [30] Research on the GTO nondestructive test fuzzy expert system
    Zhongguo Dianji Gongcheng Xuebao, 9 (6-9, 18):
12345