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2020, International Journal of Advances in Scientific Research and Engineering (ijasre)
https://doi.org/10.31695/IJASRE.2020.33792…
6 pages
1 file
The fire detection system combines the simultaneous measurements of smoke, carbon monoxide, and carbon dioxide. The security of campus against intruders moving in laboratories, class rooms, staffrooms or washrooms. The fire alarm system consists of Fire detectors (with can be smoke detector, heat, or Infra-Red detectors), control unit and alarm system. A fire detection system is developed based on the simultaneous measurements of temperature and smoke. The fire detection system with the alarm algorithm detected fires that were not alarmed by smoke sensors, and alarmed in shorter times than smoke sensors operating alone. Previous fire detection algorithms used data from sensors for temperature, smoke, and combustion products. The smoke sensor alarms when the analog output signal exceeds or equal the threshold value. The node includes analog sensors to measure smoke, carbon monoxide (CO) and temperature. A fire alarm system should reliably and in a timely way notify building occupants about the presence of fire indicators, such as smoke or high temperatures.
The design has been developed since the social and economic cost of natural disasters which has increased in recent years due to population growth, change in land use patterns, migration and unplanned urbanization, environmental degradation and global climate change. Catastrophic disasters include fires, earthquakes, volcanic eruptions, tropical cyclones, floods, and droughts. Fire considered being natural or man-made, thus the management shall provide safety of the building occupant. The design consists of five major circuits to compensate the system operation. It includes Detection and Initiating Devices (DEADS), Notification Devices (NODES), Central Station Monitor (CSM), Annunciation Devices (ANODES) and the Suppression Circuitry. The DEADS is composed of a smoke detector and smoke ionization sensors which transmit initiated signal to CSM. The NODES are active devices like smoke alarms, and speakers attached to every room designed to give alarms to the room occupants. The Central Station Monitor designed with Arduino Uno as the Microcontroller served as the brain of the system interfaced with PHP & MySQL. The ANODES works once fire cannot be suppressed by the system itself, thereby when the fire department and other incident team needs to be contacted. The suppressor composed of robotic-arm connected to the water supply, fire hydrants, and sprinkler heads.
Fire outbreak is a major concern at homes, offices, industries etc. It is dangerous and requires high security and control to avoid destruction of lives and property. One of the preventive measures to avoid the danger is to install an automatic fire alarm detector at vulnerable locations, hence the Arduino based fire alarm detection and control system was proposed. It is capable of automatically detecting heat in a given environment, sound an alarm, switch off mains of the building and also spray water to reduce the intensity of fire. The system uses a DHT 11 sensor, a buzzer, 5v DC (Direct Current) motor, a GSM (Global System for Mobile) Module sim800l to send SMS (Short Message Service) and a LCD screen 16X2 and Atmeg328p Microcontroller. At the end, the objectives of this project were achieved and the system worked effectively.
To summarize, there are basic functions / techniques that have been implemented to ensure that the prototype is used to achieve its primary objectives of reducing the rates of false alarms and their sub-targets being shipped and making fire detection devices "smart". They are as follows: 1. Use of smoke, temperature and light intensity as fire detection parameters. 2. Use GSM instead of Wi-Fi to send text notifications.
International Journal of Innovative Research in Computer Science and Technology (IJIRCST), 2023
A reliable fire alarm system (FAS) is crucial for timely reporting and responding to fires. While existing techniques can predict undesirable outcomes, they lack guidance on when and how workers should intervene to minimize the associated costs. Recent advancements in sensors, microelectronics, and information technology have significantly improved fire detection technologies. However, the prevalence of synthetic materials in modern homes has increased the danger of fire-related injuries and deaths due to the release of toxic fumes and gases, including carbon monoxide. This highlights the need for ongoing analysis and development of fire detection techniques to ensure the safety of occupants.
Journal of emerging technologies and innovative research, 2020
Fire and Smoke detection system has been proven for applications such as industrial, houses, colleges, schools, & offices, etc. To prevent losses caused by the fire we develop the fire and smoke detection system. In this method, we use the image processing system and Raspberry pi to detect the fire. After detecting fire, it will on the emergency mode, and the system will send an e-mail or message to the user. The raspberry pi controls the process camera input and detects fire by using the image processing method. It will report immediately to the person (Owner and Fire Department). These systems send information in a real-time method.
The proposed Fire alarm system is a real-time monitoring system that detects the presence of smoke in the air due to fire and captures images via a camera installed inside a room when a fire occurs. The embedded systems used to develop this fire alarm system are Raspberry Pi and Arduino Uno. The key feature of the system is the ability to remotely send an alert when a fire is detected. When the presence of smoke is detected, the system will display an image of the room state in a web page. The system will need the user confirmation to report the event to the Firefighter using Short Message Service (SMS). The advantage of using this system is it will reduce the possibility of false alert reported to the Firefighter. The camera will only capture an image, so this system will consume a little storage and power.
International Journal of Advanced Computer Research
Fire precaution action is required in most of the buildings and any of the institution for the prevention of fire disaster. This research discusses on detection of fire hazards using sensors as the parameter that indicates for fire. The fire hazard detection system is an intelligent sensor assembled with the Arduino Microcontroller to detect flame, smoke, and gas. Most alarm system that is being used nowadays has high sensitivity to the surroundings which tends to give a false alarm. This research describes a prototype alarm system that will activate the alarm accurately based on the fuzzy logic approach that has been implemented in the system. The system uses fuzzy logic to connect with Arduino and implemented with 125 rules of fuzzy logic with three levels of output namely dangerous, potentially dangerous and not dangerous. As a result, the output of the system shows 88% accuracy.
Iconic Research and Engineering Journals, 2020
In modern architecture there is a high probability of fire occurrence which leads to huge losses in people's lives and property. In order to reduce the fire in the buildings and forests automatic fire alarm equipment placed into a necessity. This paper discusses the real time fire detection, the composition and working principle. The system will be collected through the fire alarm detector to the fire such information will be sent to the fire alarm control through GSM, and then start from the controller, sound, alarm and other devices, and automatically print a fire information. This paper describes the overall structure of the real time fire detection. The detection of fire will help the mankind to safeguard from the huge losses. Indexed Terms-GSM, Buzzer, Arduino uno, DC 5v motor and Fire sensor
International Journal of Scientific Research in Computer Science, Engineering and Information Technology, 2019
Fire is an extremely dangerous circumstance and it is particularly important to screen and give cautioning before anything untoward happens. In many creating nations, houses do not come fitted with fire caution framework as observed in created nations like Singapore, USA and so on. These outcomes in fire being unattended and prompting part of misfortunes like property, human thus. Additionally in creating nations like India, we do not have any strict laws relating to establishment of Fire Alarm framework in all homes for cautioning Fire Service faculty for activity. Therefore, there is a critical need towards building up a mechanized Fire checking and cautioning framework, which assumes an essential part in keeping up, and observing the protected conditions and circumstances. However, the ease of use of many existing fire caution framework is notable utilizing Vision based Camera yet must be created with high cost. Likewise presently, these high cost framework cannot be conveyed in all normal pay homes in creating nations. So taking these previously mentioned viewpoints into thought, we here have built up a Home based Fire observing and Warning System utilizing Arduino Uno R3, which is temperate and reasonable by all. The framework here recognizes fire amid the presence of smoke or fire at a specific level and furthermore towards cautioning the property proprietor effectively and rapidly finished the Internet utilizing Wi-Fi Module. AtMega microcontroller of Arduino controls every one of these exercises. This framework would help every one of the clients at any level of salary to have one at their home and it likewise spares from the colossal misfortunes and harm, which may occur because of fire.
International Journal of Electrical and Computer Engineering (IJECE), 2019
Fire detection systems are designed to discover fires and allow the safe evacuation of occupants as well as protecting the safety of emergency response personnel. This paper describes the design and development of a fire detection and alert system. Temperature and flame sensors are used to indicate the occurrence of fire. This work consists of two parts, which are transmitter and receiver, both using ZigBee wireless technology. Arduino Uno is used as the microcontroller at the transmitter part to control the sensor nodes and give alert when over temperature and flame are detected. At the transmitter, the collected data from the sensors are transmitted by an XBee module operated as router node. At the receiver side, an XBee coordinator module which is attached to a computer using USB to serial communication captured the data for further processing. In addition, an interactive and user-friendly Graphical User Interface (GUI) is developed. LabVIEW software is used to design the GUI which displays and analyze the possibility of fire happening. The system can display the fire location and provides early warning to allow occupants to escape the building safely.
IEEE, 2021
One of the biggest issues for architects, planners, and landowners is house combustion. Singular sensors have been used in the case of a fire for a long time, but they cannot quantify the volume of fire to warn emergency service units. To resolve this problem, this research aims to develop an intelligent smart fire warning system that detects fires utilizing connected sensors and alerts property owners, emergency services. The current model is divided into three modules: Smoke Detection Module (SDM), which is responsible for detecting smoke to prevent unwanted incidents; Notification Send Module (NSM), which is responsible for creating an alert service to alert the closest support center and user; and Emergency Alarm Module (EAM), which is responsible for handling the emergency alarm schedule when a fire arises. The results prove that the device worked well, and it should be remembered that our proposal can be integrated into any kind of setting, such as a house, workplace, ship, or industry.
INTEK: Jurnal Penelitian
Conflagration is an unpredictable tragedy. It may occur whether in the woodland areas or in the residential areas. Typically, it would only be recognized if indeed the flames spread and the smoke intensified. This study aims to detect fires using the MQ-2 smoke sensor, DS18b20 temperature sensor, and fire sensor. Using Arduino Uno as the controller, this system’s output is in the form of an alarm buzzer, Short Message Service (SMS) information using SIM800L, and an automatic fire pump. This system operates to detect the temperature shifts, the smoke concentration and the existence of a fire point which triggers an alarm in the form of a siren if two out of the three sensors are activated. It, then, sends information by Short Message Service (SMS) and automatically triggers the pump as the result. The fire sensor can detect hotspots with a maximum distance of 80 cm and the DS18b20 temperature sensor has an average reading error of 0.27 ° C with a maximum reading error of 0.5 ° C. The...
Knowledge, 2021
Fire is a problem that can happen at any time. Delay in coping with house fires can induce in loss of human life or material. If the fire is not held severely, incidents like house fires can occur and create more significant losses, especially with the increasing number of residents’ settlements in the formation of huddled houses, which will be more challenging to handle in case of a fire. This research aims to build a prototype system that quickly helps house owners and firefighters to detect fires and gas leaks. This home fire detection system is utilized to measure room temperature and gas levels in a room, then the output of this system is sending information of short messages and alarms. The results revealed that the prototype room with a scale of 1:25, 1:50, and 1:75 which uses a temperature sensor and a gas sensor could run as desired. In 10 testing trials, the system works according to the designed plan, which means the system could interpret the temperature and gas leakage ...
International Journal of Engineering Research and, 2018
Fire can be either an extremely useful tool in our daily lives or a dangerous existence in itself that results to disasters that often cost more than money. Fire incidents are often the ones that generate the most damage in a short amount of time due to it being rapid and leave no other salvageable parts. To combat these, early fire detection and prevention devices have been invented and made. In this research, an early fire detection device has been made along with a message sender response. The device has been made to detect temperature, gas and flame, which are possible signs of a fire. The device consists of the circuit containing an Arduino module, GSM module for message sending, sensors, buzzer and LEDs, and an acrylic casing to house the circuit. The device detected an average maximum distance range of 8.33 cm for gas, 177.33 cm for flame and 2.43 cm for temperature. The device also has successfully sent text message to designated cellphone number indicating the situations the device has detected such as high temperature and gas leak. A survey was performed for feedbacks about the usability, aesthetics and functionality of the device and results showed a possible marketability potential with a Net Promoter Score of 33%. Overall, the device can serve as a functional early fire detection device based on tests and surveys.
International Journal of Innovative Science and Research Technology, 2022
Presented in this paper is the design and development of a multisensory Arduino-based fire detection and alarm system using GSM communications and RF module with an Android application for fire monitoring. The device and its system were made to aid the response of the fire departments to reduce damages caused by fire. The device used four sensors to detect irregularities that may cause massive fire such as flame, smoke, butane, and temperature. Once one of the sensors was triggered, data is sent from the monitoring functions of an embedded Arduino Uno microcontroller to the users' mobile phone via SMS and the 'Voltech' mobile application. Data is also stored in an inventory of daily and monthly logs in the local host database through a JZ873 Radio Frequency transceiver. A mobile application was developed to ensure to users that they can easily update the status of the device and the room they are monitoring. The detection was calibrated into three levels: a) Level 0-No detection, b) Level 1-Warning. The device was tested and the results were remarkable as to how fast the information dissemination and accurate the reading was. This device was made to help fire response and it has performed well when tested.
In this work, Proteus 8 professional software using 78L05 Voltage Regulator, first alert Brk 7010b smoke detector, relays, Arduino ide, Arduino UNO (ATmega328 microcontroller), 12VDC and 85 decibel sound buzzer Alarms, 5V NTE3019 light emitting diode (LED), resistors, vb.net program, 1N4007 diode was used to design an improved smoke detector. The approach of the design was to achieve a fast response to smoldering fire, low false alarm and low failure rate. The result of the design showed that it's an efficient smoldering smoke detection system with a uniform actuating alarm tested via simulating the design with Proteus software and Arduino ide c language burnt into the Arduino un (ATmega328 microcontroller). The simulation showed the working principle of the design by 5volt being developed through the 78L05 voltage regulator and send across the relay coils, thereby actuating the common of the relays which are tied to pin 2 and pin 3 of the Arduino UNO digital input then resulting in the actuating of other sensors including the buzzers and Light emitting diodes. The virtual terminal displays the string E as evidence that an email has been sent to those concern parties that can arrest the fire. Also from the result according to the measurement talking, the building has a flat horizontal ceiling of open areas with the area of the open office spaces ranging from 14 m2 to 107.2m2 and also the height from the floor to the ceiling ranging from 2.92m to 3m, so the maximum area one smoke detector covered was 50m2 and the maximum distance between any points of an area to the smoke detector was 7.5m, maximum spacing between detectors was reduced when obstruction were present such as walls or partitions while minimum distance between detector and wall or partition was 500mm.
IRJET, 2022
This project describes the layout of a domestic hearth alarm with Arduino-based gadget via GSM Module. The mission required is for home or living place protection in which the most thing is to ignore the hearth injuries happened to the home and the houses in the resident as nicely. It makes use of Arduino Uno board in conjunction with ATmega328 chip. The foremost controller used is definitely the ATmega328 which controls the house sensor which is detect the temperature of the fire will give a lert for fire it is attached to a sensor. An LM35 temperature sensor is helpful to discover the heat from the hearth An alert message may be sent to the consumer through short message service (SMS) through GSM module.
Communications on Applied Electronics, 2019
Supreme likelihoods of fire disasters in buildings from consulted literatures includes: abnormal rise in temperature, gas leakages from gas cylinders and her accessories, and increasing concentration of smoke from burning materials. On this premise, three respective sensors were saddle with the responsibility of monitoring any anomalies from the aforementioned likelihoods of fire in market shops of which their presence above threshold possess a treat to lives and properties. These sensors are: LM35 for monitoring temperature, MQ5 and MQ7 for monitoring gas and smoke respectively. For LM35, a threshold of 50 0 C was used as a threshold for alarm and for MQ5 and MQ7, a threshold of 1000PPM (Part per Million) was used as the alarm threshold. Each sensor was grafted into four respective modeled market stalls. Threshold for smoke and gas were chosen based on the standard set by OSHA (Occupational Safety and Health Administration) and that of temperature was chosen based on the firing point of most materials that can easily kindle in flames, predominantly found in market stalls as discovered in consulted literatures. Once smoke is detected and its concentration approaches threshold, a fire fighting mechanism which is positioned strategically in the market stall, is triggered automatically to combat the fire generating the smoke. A GSM (Global System for Mobile Communication) module called SIM 800L is used to send notification as alarm through text message to owners of respective market shops when threshold is being approached. Lastly, an LCD (Liquid Crystal Display) display is used to display the status of all sensors to users. The brain of the whole project control rest on the shoulders of a microcontroller called ATMEGA328p.
Journal of Robotics and Control (JRC), 2021
A fire disaster that does not save can certainly cause losses, both in the form of objects and casualties. This occurs for several reasons: late information obtained from the fire department or the owner's ignorance at the time of a fire. In this study, a fire early detection system was built using smoke, heat, and gas sensors based on an SMS gateway and an alarm. This system is used to provide information about fire detection as early as possible to protect against fire disasters. With this system, the potential and risk of fire can be reduced. This system is used to identify potential fires that occur in housing. Several experiments were carried out with fire simulations to get the reaction from the sensors used. Covers smoke testing, temperature testing, gas testing, and SMS message responses from various providers. This research produces a fire early warning system that provides SMS and alarm alerts.
Brilliance: Research of Artificial Intelligence
Smoke is one of the air pollutions that is very detrimental to the health of both the smoker himself and others around him. Inhaling other people's smoke is even more dangerous than inhaling your own smoke. Even the dangers that must be borne by passive smokers are three times greater than the dangers of active smokers. Smoke is also very detrimental to the health of patients in hospitals, especially patients who suffer from asthma. For people with asthma who have problems in the respiratory tract, asthma can recur at any time due to inhaling smoke. This research will develop a smart room that can detect smoke to maintain and protect the room from smoke that interferes with health. The tool to be developed uses an MQ2 sensor, LCD, exhaust fan, buzzer, and Arduino Uno microcontroller. Where an MQ2 sensor is needed to detect smoke around it, an LCD is needed to display the percentage of smoke, a microcontroller as a controller for all components, a buzzer is used as an alarm when ...
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