Abstract

A fire alarm system has numerous devices that work together to detect and give warning to the people through visual and audio appliances when there are smoke, fire and gas. The system is very sensitive to the fire, smoke and gas; hence the system sensitivity must be advanced enough so that it does not trigger any false alarm. The aim of this study is to reduce false alarm within the fire alarm system that diverts emergency responders away from legitimate emergencies that could result in loss of life and properties. The method used to conduct the research is a fuzzy logic approach (FLA). The method is tested using MATLAB and it has 125 rules since it has three variables which are fire, smoke and gas with five linguistic variables. The number of false alarms can be reduced if the fuzzy logic approach is put into practice in the alarm system since the probability of occurrence shows only 3% of error which is considered to be small. From these findings, we found that the number of false alarms can be minimized to the minimal by implementing fuzzy rules into the alarm system.

Keyword

Fuzzy logic approach, Fire, Gas, Smoke, False alarm.

Cite this article

Syafitri N, Labellapansa A, Kadir EA, Saian R, Afini Zahari NN, Anwar NH, Shaharuddin NM

Refference

[1][1]Wang Y, Yu C, Tu R, Zhang Y. Fire detection model in Tibet based on grey-fuzzy neural network algorithm. Expert Systems with Applications. 2011; 38(8):9580-6.

[2][2]Přibyl P, Přibyl O. Calibration of a fuzzy model estimating fire response time in a tunnel. Tunnelling and Underground Space Technology. 2017; 69:28-36.

[3][3]Kumar K, Sen N, Azid S, Mehta U. A fuzzy decision in smart fire and home security system. Procedia Computer Science. 2017; 105:93-8.

[4][4]Adams, C. http://www.straightdope.com/columns/read/2425/what-exactly-is-fire/ , Accessed 22 November 2018.

[5][5]http://saptaji.com/2016/08/11/menangani-sensor-api-flame-detector-dengan-arduino/. Accessed 22 November 2018.

[6][6]Himawan FP, Sunarya U, Nurmantris DA. Design of microcontoller based smoke detectors, GSM modules, smoke sensors, and temperature sensors. eProceedings of Applied Science. 2017; 3(3):1963-8.

[7][7]Faishal A, Budiyanto M. Fire detection using the Lm35D temperature sensor and smoke sensor. In the National Information Science 2015.

[8][8]http://digilib.polban.ac.id/files/disk1/83/jbptppolban-gdl-didinsaefu-4119-1-implemen-s.pdf. Accessed 20 November 2018.

[9][9]Enalume KO, Obianke SK. Design and implementation of an efficient LPG leakage detector.2017; 2(6):20-6.

[10][10]Seyhan N, Jasharllari L, Kayapınar M, Savacı N. An unusual cause of cold injury: iquefied petroleum gas leakage. Ulus Travma Acil Cerrahi Derg. 2011; 17(6):561-2.

[11][11]http://www.systemsensor.com/en-us/Documents/Limitations-of-fire-alarm-systems_techbulletin.pdf. Accessed 20 November 2018.

[12][12]Ross TJ. Fuzzy logic with engineering applications. New York: Wiley; 2004.