An Experimental Study on the Fire Detection Performance of Combined Fire Detector Using Multi-sensor for Rack-type Warehouse

2019 ◽  
Vol 7 (2) ◽  
pp. 59-63
Author(s):  
Sung Ho Hong ◽  
Moon Woo Park ◽  
Young Sin Yoo
Keyword(s):  
Experimental Study ◽  
Fire Detection ◽  
Detection Performance ◽  
Fire Detector

scholarly journals Alat Pendeteksi Kebakaran Menggunakan SMS

2020 ◽  
Vol 1 (2) ◽  
pp. 251-254
Author(s):  
Sindi Permata Sari ◽  
Oriza Candra ◽  
Jhefri Asmi
Keyword(s):  
Human Factors ◽  
Temperature Sensor ◽  
Human Life ◽  
Fire Detection ◽  
Smoke Detectors ◽  
Fire Detector ◽  
Arduino Uno ◽  
Main Component ◽  
The Brain ◽  
Early Fire Detection

Lately, there are frequent fires caused by human factors. Because we cannot predict the process of fire in advance. And the delay in knowing the occurrence of a fire is very fatal to the safety of human life and property. With advances in technology, we can overcome fires by making early fire detection devices. With the presence of temperature and smoke detectors, we can detect fires as early as possible and be delivered quickly via alarms and SMS gateways. The main component of this fire detector is the Arduino Uno. This Arduino uno acts as the brain of the fire detection device. This tool works based on the detection of the temperature condition by the DHT11 temperature sensor, which is when the temperature is above normal, an alert notification will be sent via the SMS gateway and so will the MQ2 smoke and the buzzer will sound as a warning alarm.

scholarly journals FIRE DETECTOR SYSTEM WITH WIRELESS COMMUNICATION FOR DOMESTIC USE

2020 ◽  
Vol 3 (1) ◽  
pp. 44-55
Author(s):  
Wongalethu Kaptein ◽  
Ali El-fallah ◽  
Ali M Almaktoof
Keyword(s):  
Mobile Communications ◽  
Fire Detection ◽  
Short Message ◽  
Wireless System ◽  
Residential Community ◽  
Alert Message ◽  
Domestic Use ◽  
Fire Detector ◽  
House Fires ◽  
Human Death

The surveillance of home places through sensors and the prevention of problems via prediction are of vital importance for the safety of these areas. Fires usually occur in homes due to inattention and changes in environmental conditions. They cause threats to the residential community and may lead to human death and property damage. Thus, house fires must be detected as early as possible to prevent these types of threats. This study provides a simple design for a wireless fire detection network system. This system is meant to notify the household of a fire occurrence in the house by sending a short message through the Global System for Mobile Communications (GSM). In order to pre-monitor the possibility of a fire, the Arduino programmed board receives temperatures and humidity levels from sensors. When it detects that the collected data exceeds a predefined and precalculated threshold, it promptly communicates with the wireless system and sends an alert message to the user through the GSM.

scholarly journals Fire Detection Factor of Polyurethane Foam Fire Experiment in UL 268

2021 ◽  
Vol 35 (1) ◽  
pp. 58-66
Author(s):  
Yoo-Jeong Choi ◽  
Su-Gil Choi ◽  
Yeong-Jae Nam ◽  
Si-Kuk Kim
Keyword(s):  
Polyurethane Foam ◽  
Fire Detection ◽  
Combustion Products ◽  
Adaptation Level ◽  
Gas Analyzer ◽  
Combustion Gas ◽  
Black Smoke ◽  
Fire Experiment ◽  
Fire Detector ◽  
Pm 10

This study focused on fire detection factors by confirming the adaptation level of fire detection due to black smoke generated in the case of polyurethane foam fire, and it compared and analyzed the change in combustion products. An experiment was conducted to derive fire detection factors using the UL 268 polyurethane foam real fire test standard. Combustion products were measured using a particulate matter sensor (PMS), combustion gas analyzer (CGA), and gas analyzer (GA). As a result of the experiment, it was confirmed that the adaptability of the existing fire detector deteriorated when black smoke was generated. The fire detection factor was derived using the measured values of combustion products. In particular, among the measured factors, the most adaptable combustion products were found to be PM 2.5, PM 10, NO, and CO. They were considered to improve reliability when used as fire detection factors, as compared to existing fire detectors.

scholarly journals Perancangan Robot Laba-Laba Pendeteksi Api Berbasis Mikrokontroller ATMEGA32

Elkawnie ◽  
2018 ◽  
Vol 4 (1) ◽  
Author(s):  
Salahuddin Salahuddin ◽  
Widdha Mellyssa ◽  
Azman Azman
Keyword(s):  
Fire Detection ◽  
Ultrasonic Sensors ◽  
C Language ◽  
Turn On ◽  
Automatic Mode ◽  
Flame Detector ◽  
Fire Detector ◽  
The Right ◽  
Manual Mode ◽  
Fire Accident

Spider robot is controlled using ATMega32 microcontroller and programmed using C language on CV AVR Software. This robot is designed to help people in the fire fighting in the fire accident. This robot has 3 ultrasonic PING sensors that are placed on the front, right and left as a distance detector to regulate the movement of the robot and a flame detector sensor that is placed on the front as a fire detector. Robot also has 2 work modes that are manual mode and automatic mode. Manual mode is a mode where the movement of the robot is ordered to use the remote bluetooth with 7 meters of maximum distance, while the automatic mode is the mode where the movement of the robot fully using PING ultrasonic sensors. From the results of fire detection testing, the robot is able to detect the presence of fire less than 20 cm, in that position the robot will stop and turn on the fan automatically. Furthermore, from the results of robot movement testing, the robot detects the presence of obstacle as far as 20 cm, in that position the robot will stop and it will read the ultrasonic sensor PING on the right and left to decide the next movement.

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