Intelligent fire detection and alert system using labVIEW

Idris, Fakrulradzi; Hashim, Norlezah; Kadmin, A. F.; Yee, Lee Boon

doi:10.11591/ijece.v9i3.pp1842-1849

Cited by 15 publications

(10 citation statements)

References 6 publications

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“…Generally, the module consists of four terminals, two of which are used for the sensor power supply (i.e. VCC&GND), the third terminal for the analogue output, its output voltage increases with the increasing of the flame amount, and the left terminal is the digital output which indicates the HIGH output in the case of a flame being detected [15,16].…”

Section: Flame Sensor Modulementioning

confidence: 99%

Design and implementation of a smart home system with two levels of security based on IoT technology

Murad

Bayat

Marhoon³

2021

IJEECS

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<span>Besides the development of technology in recent years, there has been an effective tendency to construct smart cities and homes. Whereas the smart home control system components can be incorporated with the existing home appliances to eliminate the need for human intervention, save electricity, protect homes from accidents as well as the theft, and provide home residents with comfort. This work comprises the utilising of the internet of things (IoT) technology to build the proposed design for the smart home. The proposed design includes many subsystems as well as several types of sensors, such as the passive infrared (PIR) sensor, the gas sensor, the soil moisture sensor, the water level sensor, the temperature sensor, the light dependent resistance (LDR), and the flame sensor. Each sensor will be connected to the Arduino Nano for the data processing purpose, after which the Arduino Nano will be connected to the NodeMCU module via the digital pins to implement the IoT subsystem. The proposed system also includes a smart garage gate based on Bluetooth HC-05 module with a specially programmed android app. </span>

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Section: Flame Sensor Modulementioning

confidence: 99%

Design and implementation of a smart home system with two levels of security based on IoT technology

Murad

Bayat

Marhoon³

2021

IJEECS

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“…In this case, multiple sensors need to be installed at different places of the building which plays a crucial role [1]. A system based on LabVIEW is proposed to detect and alert fire events in [2]. A portable community video surveillance system developed in [3] can be used to detect people's motion.…”

Section: Literature Surveymentioning

confidence: 99%

Development in building fire detection and evacuation system-a comprehensive review

Birajdar

Singh

Gehlot

et al. 2020

IJECE

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Fire is both beneficial to man and his environment as well as destructive and deadly among all the natural disasters. A fire Accident occurs very rarely, but once it crops up its consequences will be devastating. The early detection of fire will help to avoid further consequences and saves the life of people. During the fire accidents, it is also important to guide people within the building to exit safely. Because of this, the paper gives a review of literature related to recent advancements in building fire detection and emergency evacuation system. It is intended to provide details about fire simulation tools with features, suitable hardware, communication methods, and effective user interface.

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“…With the rapid development of sensor technologies and IoT technologies, temperature aware evacuation services are possible in state-of-the-art IoT buildings. Home-based fire detection and alert system prototype were built in [ 6 ] by adopting the Arduino board to connect and control temperature sensors, flame sensors and ZigBee technology for transmission module. Another prototype was designed and implemented in [ 7 ] to monitor and control the industrial environment by using the Wi-Fi communication module.…”

Section: Related Workmentioning

confidence: 99%

Time-Aware and Temperature-Aware Fire Evacuation Path Algorithm in IoT-Enabled Multi-Story Multi-Exit Buildings

Yen

Lin

Tsao

2020

Sensors

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Temperature sensors with a communication capability can help monitor and report temperature values to a control station, which enables dynamic and real-time evacuation paths in fire emergencies. As compared to traditional approaches that identify a one-shot fire evacuation path, in this paper, we develop an intelligent algorithm that can identify time-aware and temperature-aware fire evacuation paths by considering temperature changes at different time slots in multi-story and multi-exit buildings. We first propose a method that can map three-dimensional multi-story multi-exit buildings into a two-dimensional graph. Then, a mathematical optimization model is proposed to capture this time-aware and temperature-aware evacuation path problem in multi-story multi-exit buildings. Six fire evacuation algorithms (BFS, SP, DBFS, TABFS, TASP and TADBFS) are proposed to identify the efficient evacuation path. The first three algorithms that do not address human temperature limit constraints can be used by rescue robots or firemen with fire-proof suits. The last three algorithms that address human temperature limit constraints can be used by evacuees in terms of total time slots and total temperature on the evacuation path. In the computational experiments, the open space building and the Taipei 101 Shopping Mall are all tested to verify the solution quality of these six algorithms. From the computational results, TABFS, TASP and TADBF identify almost the same evacuation path in open space building and the Taipei 101 Shopping Mall. BFS, SP DBFS can locate marginally better results in terms of evacuation time and total temperature on the evacuation path. When considering evacuating a group of evacuees, the computational time of the evacuation algorithm is very important in a time-limited evacuation process. Considering the extreme case of seven fires in eight emergency exits in the Taipei 101 Shopping Mall, the golden window for evacuation is 15 time slots. Only TABFS and TADBFS are applicable to evacuate 1200 people in the Taipei 101 Shopping Mall when one time slot is setting as one minute. The computational results show that the capacity limit for the Taipei 101 Shopping Mall is 800 people in the extreme case of seven fires. In this case, when the number of people in the building is less than 700, TADBFS should be adopted. When the number of people in the building is greater than 700, TABFS can evacuate more people than TADBFS. Besides identifying an efficient evacuation path, another significant contribution of this paper is to identify the best sensor density deployment at large buildings like the Taipei 101 Shopping Mall in considering the fire evacuation.

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Intelligent fire detection and alert system using labVIEW

Cited by 15 publications

References 6 publications

Design and implementation of a smart home system with two levels of security based on IoT technology

Design and implementation of a smart home system with two levels of security based on IoT technology

Development in building fire detection and evacuation system-a comprehensive review

Time-Aware and Temperature-Aware Fire Evacuation Path Algorithm in IoT-Enabled Multi-Story Multi-Exit Buildings

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