The ‘no-fire-detector’—an alternative fire detection concept?

1997 ◽  
Vol 29 (2-3) ◽  
pp. 159-171
Author(s):  
R. Siebel
Keyword(s):  
2020 ◽  
Vol 1 (2) ◽  
pp. 251-254
Author(s):  
Sindi Permata Sari ◽  
Oriza Candra ◽  
Jhefri Asmi

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.


Author(s):  
Wongalethu Kaptein ◽  
Ali El-fallah ◽  
Ali M Almaktoof

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.


2021 ◽  
Vol 35 (1) ◽  
pp. 58-66
Author(s):  
Yoo-Jeong Choi ◽  
Su-Gil Choi ◽  
Yeong-Jae Nam ◽  
Si-Kuk Kim

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.


Elkawnie ◽  
2018 ◽  
Vol 4 (1) ◽  
Author(s):  
Salahuddin Salahuddin ◽  
Widdha Mellyssa ◽  
Azman Azman

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.


Author(s):  
S. V. Fedosov ◽  
A. A. Lazarev ◽  
M. V. Toropova ◽  
V. G. Malichenko

Statement of the problem. Solving the problem of giving the properties of a building structure to detect fires outside buildings is one of the ways to prevent the transition of fire from one building to another. Embedding of fire automation equipment in construction products should be carried out after making the appropriate calculations. The absence of an expression for determining the temperature of the heat-sensitive element of a fire detector inside a concrete block requires detailed calculations. At the same time, it is necessary to study the influence of the distance to the object of a possible fire, the size of the heat-sensitive element, and the heat flow on the time of fire detection by a construction product included in the smart home system.Results. As part of the temperature measurement of heat-sensitive elements of fire detectors inside the concrete block, empirical data were obtained. This information allows us to describe the radiant heat exchange at an early stage of a fire. This is typical of open burning outdoors. Conclusions. Approximate equations are obtained for determining the temperature and response time of a fire detector inside a concrete block at the initial stage of a fire, depending on the distance to the fire object (radiation source), heat flow, and the size of the thermosensitive element. These values can be determined with sufficient accuracy.


2019 ◽  
Vol 17 (2) ◽  
Author(s):  
Sri Danaryani ◽  
Verawati Agustina ◽  
Fuanisa Bonita Herlina Syamsudin

ABSTRACTFires can occur anytime and anywhere and fires are generally known after the fire has begun to grow. Therefore, it is necessary to detect fires that can quickly detect the presence of a fire and prevent fires from getting bigger. This research has made a fire detection equipment where the detection results can be received remotely by utilizing the internet network through FTTH. The transmitter equipment consists of a fire detector using the MQ-2 gas sensor, LM35DZ temperature sensor, processing data using Arduino that is connected to an Ethernet shield and FTTH. The receiver consists of an Ethernet shield, Arduino, and an alarm and LED circuit. Changes in smoke temperature and thickness were detected by Arduino. When the LM35DZ temperature sensor detects temperature changes greater than or equal to 350C and the gas sensor MQ-2 detects smoke thickness greater than or equal to 150ppm, the Arduino microcontroller will provide logic 1 and will activate the buzzer and led. Conversely, if the temperature and smoke thickness are less than the conditions above, Arduino sends logic 0. Arduino uno is connected to the Ethernet shield so that data from Arduino can be sent via the internet using FTTH network. In the receiver, if the data received by logic 1 will activate the buzzer and led which indicates the temperature above 35 degrees and smoke thickness above 150 ppm. Transmitter devices and receivers can be interconnected through FTTH networks with IP addresses that are one network, where the IP transmitter device is 172.31.16.27 and the IP device is 172.31.16.29. The QOS test results for FTTH network are good with packet loss 0 and very small delay which is <150 ms and throughput above 1Mbps.Key : Arduino, buzzer, LED, Ethershield, Fiber To The Home,IoT


2020 ◽  
Vol 20 (5) ◽  
pp. 105-112
Author(s):  
Yoonbeom So ◽  
Yonghan Kim ◽  
Sehong Min

As severe fire occurs and spreads successively in a traditional market, the need for the prompt response to the fire in the space outside the traditional market becomes more urgent. The fire-detection system used for the Daegu S-traditional market has the problems of having no adaptability to outside space, achieving fire detection reliability for the inside space owing to false alarms, and for operating the critical fire-detection signal delivered from the fire detector through the fire command center to the fire station in the independent state without interconnectedness. Hence, in this study, a reliable image-based fire-detection system prepared for reducing the fire risks of the traditional market, including the problems of the occurrence of unwanted alarms and adaptability to fire detection in the outside space, is developed. A demonstration-based real-time-situation notice system was connected from the fire detector to the fire command center, fire stations, merchants, and residents.


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