IoT-based Fire Detection and Prevention System

Hariveena, Ch; Anitha, K.; Ramesh, Potharaju

doi:10.1088/1757-899x/981/4/042080

Cited by 9 publications

(3 citation statements)

References 2 publications

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“…While the method showcases the potential to enhance wildfire detection and prevention through advanced technology, limitations may include the complexity of implementation, potential resource requirements, and the need for robust cybersecurity measures. The paper from [21] addresses the crucial need for fire identification in homes to prevent property loss and safeguard lives. Emphasizing the rapid and unpredictable nature of fires, it argues that more than relying on the ability to smell smoke is required, given the short time frame for a building to burn down.…”

Section: Literature Reviewmentioning

confidence: 99%

Enhancing peatland fire prevention: an incremental LoRa and mobile-based early warning system

2023

IJATEE

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Peatland is a unique and sensitive ecosystem that brings significant economic functions to the local community. As an essential natural resource, peatland provides vital environmental services such as flood control, water filtration, and carbon sequestration. At the same time, peatland supports the livelihoods of local communities through the cultivation of crops like sago, coconut, and fruit, as well as fishing and extraction of forest products. However, peatland is also highly vulnerable to degradation from deforestation, drainage, fire, and unsustainable agricultural practices [1].*Author for correspondence However, recent reports reveal a concerning trend of forest fires in Indonesia, particularly on Sumatra island, predominantly caused by human errors and unsustainable practices. Sumatra has experienced widespread annual forest fires, with over 311,000 hectares burned in 2021 alone. The leading causes stem from slash-and-burn clearing of land for agriculture, negligence during land preparation, and drainage of peatland areas [2]. Prohibited farming practices aimed at converting peatland into palm oil areas have been identified as a significant catalyst for these fires. Draining peat swamps and using fire for land clearing are techniques illegally employed to convert forested peatlands into plantations for the lucrative palm oil industry [3]. This detrimental setting leads to frequent fire occurrences, especially during dry periods, resulting in haze and

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Section: Literature Reviewmentioning

confidence: 99%

Enhancing peatland fire prevention: an incremental LoRa and mobile-based early warning system

2023

IJATEE

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“…Sassani et al [34] designed a fire notification system that used a cloud-based system with sensors to detect fire to alert users through the internet using a single Application (App) with raspberry pi programmed using the python language and utilized google application for programming interface (API) for location detection. Hariveena et al [35], in their study about fire identification in homes, said that it was important to prevent property loss due to both natural and triggered fire event. Fire would come anywhere and any moment but the existence of fire alarm keeps family safe.…”

Section: Literature Reviewmentioning

confidence: 99%

IoT based smart fan controller and fire prevention in computer laboratory

2022

IJATEE

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Computer laboratory plays the role of key elements with high interest for different categories of populations. Event of fire, smoke, heat, and water leakage when occurs could cause a big loss for business continuity. This paper presents a developed system for internet of things (IoT) based smart fan controller and fire prevention in the computer laboratory. The aim was to develop an automated computer laboratory that would control and monitor the computer laboratoryenvironment from the incident of fire, heat, smoke, and water leakage. The system was created using three nodes and a single database. The first node used a flame sensor which detects fire and activates a fire extinguisher automatically. The second node used a digital humidity and temperature sensor (DHT), along with an ultrasonic sensor, which was used to manage a fan controller and activate the controller when the temperature is high and a person is present. Thirdly, smoke and water sensors were used to detect the presence of smoke and water leakage. Microcontrollers, access points, and software are used to accomplish the development of this system. Different actions of warning users were done. Triggering buzzers and sending emails were done whereas fire, smoke, and water leakage are detected. The email was also sent to the users registered in the system when there was a temperature of more than 25.

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“…In his study, Hariveena (2020) stated that fire detection in the home is critical to preventing property damage due to both natural and provoked fire events. The ability to recognize a fire will be useful.…”

Section: Related Workmentioning

confidence: 99%

IoT based smart fan controller and fire prevention in computer laboratory

Iriho

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Computer laboratory plays the role of key elements with high interest for different categories of populations. Event of fire, smoke, heat and water leakage when occurs could cause a big loss for business continuity. Their equipment is very expensive and its usage is more profitable to the population who used it. Many computer laboratories in the East Africa community region are equipped with equipment for protection against fire, smoke, and heat such as fire extinguishers, fans, and smoke detectors. However, when equipped with that equipment of protection, a system for monitoring and controlling the computer laboratory environment and warning the users in real-time is not yet implemented. This study aimed to develop an automated computer laboratory that would control and monitor the computer laboratory environment from the incident of fire, heat, smoke, and water leakage. The developed system is divided into three nodes which communicate separately with one database in common where the flame sensor is used to detect fire and allow the turning on automatically of a fire extinguisher in case of fire detection, DHT22 and ultrasonic sensor are used for management of fan controller, allowing to turn on automatically fan controller when there is high temperature and if there is a presence of a person, smoke and water sensors are used to detect the presence of smoke and water leakage. NodeMCU ESP8266, ESP32 WROOM-32D as a microcontroller, access point, and software are used to accomplish the development of that system. Different actions of warning users such as triggering buzzers and sending emails are done when fire, smoke, and water leakage are detected, email is sent to the users when there is a temperature more than 25℃. ThingSpeak cloud is used for the analysis of data from sensors, control of fire extinguisher and fan controller were done via mobile application and web applications. A prototyping methodology was used. The study aimed at interviewing 80 individuals based on their cluster. However, 64 individuals accepted to respond to our questionnaires. Results showed that 57.81% of females were interested in the interview compared to 42.19% of males. From the results which come of testing the prototype, it shows that the variation of temperature varies between 23℃ and 27.60℃, 11 times of fire detection, and 33 times of smoke detection. The developed system for IoT-based smart fan controllers and fire prevention in computer labs with its supported equipment will contribute to securing and protecting the computer laboratory against fire, smoldering, heating, and water leakage.

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IoT-based Fire Detection and Prevention System

Cited by 9 publications

References 2 publications

Enhancing peatland fire prevention: an incremental LoRa and mobile-based early warning system

Enhancing peatland fire prevention: an incremental LoRa and mobile-based early warning system

IoT based smart fan controller and fire prevention in computer laboratory

IoT based smart fan controller and fire prevention in computer laboratory

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