Multi-sensor fire detection algorithm for ship fire alarm system using neural fuzzy network

2002 ◽  
Author(s):  
Wang Xihuai ◽  
Xiao Jianmei ◽  
Bao Minzhong
Keyword(s):  
Fire Detection ◽  
Detection Algorithm ◽  
Alarm System ◽  
Fire Alarm ◽  
Fire Alarm System ◽  
Fuzzy Network ◽  
Neural Fuzzy Network ◽  
Neural Fuzzy

An analog front-end of a fire detection SoC for a fire alarm system

2008 ◽  
Author(s):  
Jimin Cheon ◽  
Inhee Lee ◽  
Jeonghwan Lee ◽  
Youngcheol Chae ◽  
Gunhee Han ◽  
...  
Keyword(s):  
Fire Detection ◽  
Alarm System ◽  
Fire Alarm ◽  
Front End ◽  
Analog Front End ◽  
Fire Alarm System

Neural fuzzy network applied in fire detection system

2000 ◽  
Author(s):  
Zhiquan Li ◽  
Chunling Fan ◽  
Lingshi Yao ◽  
Xifu Qiang
Keyword(s):  
Detection System ◽  
Fire Detection ◽  
Fire Detection System ◽  
Fuzzy Network ◽  
In Fire ◽  
Neural Fuzzy Network ◽  
Neural Fuzzy

scholarly journals GSM Based SMS Alert Fire Alarm System

2021 ◽  
Vol 9 (11) ◽  
pp. 957-962
Author(s):  
Dr. Aziz Makandar
Keyword(s):  
Detection System ◽  
Fire Detection ◽  
Cost Effective ◽  
Alarm System ◽  
Fire Alarm ◽  
Alarm Systems ◽  
Lcd Display ◽  
Fire Alarm System ◽  
Smoke Sensor ◽  
Fire Accidents

Abstract: The design of a fire alarm with Arduino-based system by means of GSM Module. The work purposely for house safety where the main point is to avoid the fire accidents occurred to the residents and the properties inside the house. In order to prevent losses accrued from fire accidents, various alarm systems have been developed such as smoke detectors, temperature sensor based systems etc. The design and implementation of a cost effective and reliable GSM based SMS Alert fire alarm system. The device will be able to monitor the temperature of the environment, the smoke level, send SMS alert to an inbuilt GSM number. When the system detects the temperature of 100C or more, it will immediately display an alert notification on LCD display and simultaneously sending an SMS alert to the users upon the high raise temperature in the house. This fire detection system consists of a smoke sensor, buzzer, LCD display and GSM module is interfaced with Arduino board. Keywords: Smoke sensor, GSM Module, Arduino, LED display, Buzzer

Information Fusion Technology Based on Wireless Fire Detection and Alarm System

2013 ◽  
Vol 846-847 ◽  
pp. 883-887
Author(s):  
Ling Hui Niu ◽  
Zhu Ge Hu
Keyword(s):  
Wireless Communication ◽  
Communication Technology ◽  
Information Fusion ◽  
Fire Detection ◽  
Alarm System ◽  
Chemical Signal ◽  
Fusion Technology ◽  
Fire Alarm ◽  
Detection Technology ◽  
Fire Alarm System

In order to solve the problem, which is "the traditional fire alarm system is only used to detect a particular physical or chemical signal of the fire, moreover, false alarm and failure alarm can occur easily. We apply multi-sensor composite detection technology and wireless communication technology in the fire detection and alarm system,and design an intelligence distributed wireless fire detection alarm system, which is mainly based on STM32 control chip.

scholarly journals Performance evaluation of video surveillance in fire-fighting systems

2020 ◽  
Vol 29 (3) ◽  
pp. 95-102
Author(s):  
A. N. Chlenov ◽  
T. A. Butcinskaya
Keyword(s):  
Mathematical Model ◽  
Video Surveillance ◽  
Fire Protection ◽  
Fire Detection ◽  
Fire Fighting ◽  
Alarm System ◽  
Video Technology ◽  
Fire Alarm ◽  
Fire Alarm System ◽  
In Fire

Introduction. Rationale of the topic of this article is the need to improve the effectiveness of fire detection. One of the modern solutions to this problem is the use of video technology. The article is aimed at developing a method to assess the effectiveness of video surveillance in the fire protection system on the basis of the formed mathematical model.Methods of research. The fire risks theory is used for formation of mathematical model. The potential fire detection risk is introduced as a quantitative measure of the possibility of undetected fire occurrence at the protected facility, development and implementation of its consequences for people and material valuables. It is calculated as the product of the maximum probability of fire by the probability of its non-detection by the technical means and alarm systems used. The efficiency of video surveillance use in the fire protection system is determined on the basis of compliance of the complex risk index of fire non-detection with the permissible value.Research results. The possibilities of increasing the efficiency of fire detection through the use of video technology are considered. Reducing the fire detection risk can be achieved by using video channel fire detectors that reduce the time it takes to reliably detect a fire. The probability of reliable detection is an important parameter of the detector during its operation in the fire alarm system and characterizes the degree of performance of its main function. The main ways to improve the efficiency of fire detection are the improvement of fire detectors with video channel, the joint use of fire video detectors and other detection devices, such as automatic multi-criteria detectors, thermal imaging сamera, as well as the use of photo and video in centralized surveillance systems.Conclusions. The offered method of estimation of efficiency of application of video surveillance in fire protection systems can be used for a substantiation of parameters of technical means (systems) of the fire alarm system and passive fire-fighting measures established on the facility.

Sign in / Sign up

Export Citation Format

Share Document