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

页码：160 / 164

页数：5

共 50 条

[1] Switchboard Fire Detection System Using Expert Inference Method Based on Improved Fire Discrimination
Lee, Hyun-Jae
Kim, Dong-Eun
Shon, Jin-Geun
Park, Jae-Don
JOURNAL OF ELECTRICAL ENGINEERING & TECHNOLOGY, 2019, 14 (02) : 1007 - 1015
[2] Switchboard Fire Detection System Using Expert Inference Method Based on Improved Fire Discrimination
Hyun-Jae Lee
Dong-Eun Kim
Jin-Geun Shon
Jae-Don Park
Journal of Electrical Engineering & Technology, 2019, 14 : 1007 - 1015
[3] Research on agricultural expert system based on fuzzy reasoning
Rui X.
Hong L.
Lei X.
Xinying W.
International Journal of Simulation: Systems, Science and Technology, 2016, 17 (39): : 13.1 - 13.5
[4] Fire Detection System Based on Fuzzy Neural Network
Dong Aihua
Fu Yongli
PROCEEDINGS OF THE SECOND INTERNATIONAL SYMPOSIUM ON TEST AUTOMATION & INSTRUMENTATION, VOLS 1-2, 2008, : 940 - 944
[5] The Research of the Performance Detection and Evaluation System for Main Battle Tank Weapon System Based-on Fuzzy Expert System
Zhi, Zheng
Ting, Li
ISTM/2009: 8TH INTERNATIONAL SYMPOSIUM ON TEST AND MEASUREMENT, VOLS 1-6, 2009, : 2354 - 2357
[6] Research on detection method of uncertainty fire signal based on fire scenario
Xia, Donghai
Wang, Shu
Zhu, Ming
WCICA 2006: SIXTH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION, VOLS 1-12, CONFERENCE PROCEEDINGS, 2006, : 4185 - +
[7] A NEW METHOD FOR FMECA BASED ON FUZZY THEORY AND EXPERT SYSTEM
Byeon, Yoong-Tae
Kim, Dong-Jin
Kim, Jin-O
INTERNATIONAL CONFERENCE ON POWER CONTROL AND OPTIMIZATION, 2008, 1052 : 233 - 236
[8] Research on Heavy Haul Railway Dispatching System Based on Fuzzy Expert System
Deng, Wen-tan
Zhao, Hui-bing
He, Hui
2018 INTERNATIONAL CONFERENCE ON COMPUTER, COMMUNICATION AND NETWORK TECHNOLOGY (CCNT 2018), 2018, 291 : 317 - 323
[9] Using Fuzzy Expert System Based on Genetic Algorithms for Intrusion Detection System
Wang Yunwu
2009 INTERNATIONAL FORUM ON INFORMATION TECHNOLOGY AND APPLICATIONS, VOL 2, PROCEEDINGS, 2009, : 221 - +
[10] Research on the Evidence Optimization Method Based on the Expert System
Guo, Chen
Huang, Ming
Liang, Xu
PROCEEDINGS OF 2013 INTERNATIONAL CONFERENCE ON INFORMATION SCIENCE AND CLOUD COMPUTING COMPANION (ISCC-C), 2014, : 776 - 781

← 1 2 3 4 5 →