Development of Smart Phone Applications Linked with Fire Alarm Control Panel in Automatic Fire Detection System

2016 ◽  
Vol 10 (2) ◽  
pp. 11-18 ◽  
Author(s):  
Ha-Sung Kong ◽  
Jong-Seog Yang ◽  
Kwang-Sun Kang
Keyword(s):  
Detection System ◽  
Smart Phone ◽  
Fire Detection ◽  
Control Panel ◽  
Fire Alarm ◽  
Fire Detection System

scholarly journals A Comparison and Analysis of Domestic and Foreign Standards Related to Unwanted Fire Alarms

2020 ◽  
Vol 34 (6) ◽  
pp. 104-113
Author(s):  
Han-Bit Choi ◽  
Euy-Hong Hwang ◽  
Sung-Eun Lee ◽  
Don-Mook Choi
Keyword(s):  
Safety Management ◽  
Detection System ◽  
Fire Detection ◽  
Smoke Detector ◽  
System Construction ◽  
Fire Alarm ◽  
Fire Detection System ◽  
Comparison And Analysis ◽  
Testing Standards ◽  
Korean Type

As unwanted fire alarms within the automatic fire detection system increase, fire-fighting power gets wasted. This is recognized as important because it causes a decrease in the evacuation reliability of the occupancy. Therefore, in order to develop measures to reduce unwanted fire alarms, foreign (United States and, United Kingdom) and domestic standards related to unwanted fire alarms were compared and analyzed in the present study. Through the analysis the problems with the standards were identified as uncertainty regarding the detecting space and radius of the smoke detector, the absence of a statistical database (DB) for unwanted fire alarms, the absence of a protocol for managing unwanted fire alarms, and the absence of testing standards for unwanted fire alarms based on scenarios. Consequently, it is proposed that to deal with the problems, it is necessary to ascertain the detecting space and radius of the smoke detector, to propose unwanted fire alarm protection codes for database (DB) system construction, to supplement the fire safety management log by developing related manuals, and to develop unwanted fire alarm testing standards of Korean type based on scenarios.

Design of a Real-Time Video-Fire-Detection System Based on DSP

2011 ◽  
Vol 52-54 ◽  
pp. 1137-1141
Author(s):  
W. Yuan ◽  
J. Li ◽  
J. Fang ◽  
H.B. Hu ◽  
Y.M. Zhang
Keyword(s):  
Image Processing ◽  
Detection System ◽  
Fire Detection ◽  
Circuit Board ◽  
Open Spaces ◽  
Fire Alarm ◽  
Video Acquisition ◽  
Portable System ◽  
Fire Detection System ◽  
Indoor And Outdoor

Many methods of fire detection in video have been carried out on PC. Generally it needs long cables to transmit images and processes videos on computers. That system is too dependent on computers, and costs a lot using cables to transmission. We would rather use a portable device to detect fire, which will bring us much more convenience. This paper designed a portable system to detect fire using DSP. The system integrates video acquisition, image processing and fire alarm together in a circuit board. Then we develop algorithms to recognize fire, and transplant them into DSP. Finally put it into use after commissioning test. This portable system can work independently. Users can put into their requirements through user-interface, and system will output the fire pictures and alarm by wireless communication or internet. This system is applicable to various places, such as indoor and outdoor, large and open spaces, forest, etc.

scholarly journals Smart Fire Detector utilizing IoT-based Zigbee Sensor

2022 ◽  
Vol 21 (2) ◽  
pp. 1132
Author(s):  
Jung kyu Park
Keyword(s):  
Detection System ◽  
Fire Detection ◽  
Raspberry Pi ◽  
Control Panel ◽  
Alarm System ◽  
Fire Alarm ◽  
Alarm Systems ◽  
Fire Alarm System ◽  
Fire Detector ◽  
Conventional Systems

<pre>There are several differences between the two types of alarm systems, conventional systems and addressable systems. It is important to carefully determine the introduction of a fire alarm system according to the installation environment. Talking about the main difference relates to how the connected device communicates with the main control panel by sending a signal. Cost is another factor that can be a determinant of your chosen fire alarm system. In this paper, we proposed smart addressable fire detection system. In the proposed system, <span>IoT</span> was used and the network was constructed using <span>ZigBee</span> module. In the configured network, it consists of a local server and a control server. The local server controls the addressing sensor and sends the information obtained from the sensor to the control server. The control server receives data transmitted from the local server and enables quick fire action. In the actual implementation, the local server used the Lycra controller and <span>ZigBee</span> module. In addition, the control server used the Raspberry Pi and <span>ZigBee</span> modules and connected to the Ethernet so that the administrator could monitor or control the local server.</pre>

LoRa network based high performance forest fire detection system

2021 ◽  
Author(s):  
K Ram Prasanna ◽  
J.M. Mathana ◽  
T. Anne Ramya ◽  
R. Nirmala
Keyword(s):  
Forest Fire ◽  
High Performance ◽  
Detection System ◽  
Fire Detection ◽  
Fire Detection System ◽  
Forest Fire Detection

scholarly journals Fire Detection System Using Machine Learning

2021 ◽  
Vol 1916 (1) ◽  
pp. 012209
Author(s):  
A Arul ◽  
R S Hari Prakaash ◽  
R Gokul Raja ◽  
V Nandhalal ◽  
N Sathish Kumar
Keyword(s):  
Machine Learning ◽  
Detection System ◽  
Fire Detection ◽  
Fire Detection System
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