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Journal articles on the topic 'Fire alarm sensors'

Author: Grafiati

Published: 4 June 2025

Last updated: 1 August 2025

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1

rajendra rao shinde, Rajshree, Shruti Sable, Kartik masalkar, et al. "HOSPITAL EMERGENCY SECURITY SYSTEM." International Journal of Engineering Applied Sciences and Technology 7, no. 1 (2022): 264–67. http://dx.doi.org/10.33564/ijeast.2022.v07i01.038.

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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 smo

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Kalina Szafarczyk. "Reducing the Multi-Sensor Smoke Detectors Susceptibility to False Triggering." SAFETY & FIRE TECHNOLOGY 60, no. 2 (2022): 164–74. http://dx.doi.org/10.12845/sft.60.2.2022.9;.

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Cel: An assessment of the possibility of reducing the susceptibility of fire detectors to false alarms was carried out by: 1) analysing the impact of changing the operating modes of a multi-sensor detector on minimizing false alarms, and 2) verifying, using ANOVA tests, two hypotheses: either the settings or the sensitivity of the sensor affect the susceptibility of the detectors to false alarms. Projekt i metody: In order to assess the impact of false alarms on the operation of facilities equipped with a Fire Alarm System, a survey was conducted, directed at their administrators. A study of t

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Zafar, Raheel, Shah Zaib, and Muhammad Asif. "False Fire Alarm Detection Using Data Mining Techniques." International Journal of Decision Support System Technology 12, no. 4 (2020): 21–35. http://dx.doi.org/10.4018/ijdsst.2020100102.

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In the era of smart home technology, early warning systems and emergency services are inevitable. To make smart homes safer, early fire alarm systems can play a significant role. Smart homes usually utilize communication, sensors, actuators, and other technologies to provide a safe and smart environment. This research work introduced a model for the fire alarm system and designed a fire alarm detection (FAD) simulator to produce a synthetic dataset. The designed simulator utilizes a variety of sensors (temperature, gas, and humidity) to simulate fire alarm scenarios based on real-world data. T

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Choi, Su-Gil, Yoo-Jeong Choi, and Si-Kuk Kim. "Study on the Application of Carbon Monoxide Sensors for the Prevention of Unwanted Alarms." Fire Science and Engineering 37, no. 1 (2023): 57–69. http://dx.doi.org/10.7731/kifse.e6b85d68.

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This study analyzed the applicability of CO sensors through UL 268 unwanted alarm tests and real-scale unwanted alarm verification tests tailored to the domestic format. A comprehensive literature review indicated that the UL 268 fire test and the cooking nuisance test results revealed the fire-detection concentration and unwanted alarm concentration of CO and suggested that a real fire can be detected if the concentration of CO is above 17 ppm. Accordingly, during the pork belly and mackerel cooking events, which triggers frequent unwanted alarms in domestic multi-unit dwellings, the UL 268 d

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Suryansh Devasthali, Smarak Mishra, 1Suryansh Saha, Sweekruthi S., Dr. Pavithra G, and Dr. T.C.Manjunath. "Industrial Fire Detector Using Colour Detection and Tracking." international journal of engineering technology and management sciences 7, no. 4 (2023): 1–5. http://dx.doi.org/10.46647/ijetms.2023.v07i04.001.

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Conventional fire detection systems use physical sensors to detect fire. Chemical properties of particles in the air are acquired by sensors and are used by conventional fire detection systems to raise an alarm. However, this can also cause false alarms; for example, a person smoking in a room may trigger a typical fire alarm system. In order to manage false alarms of conventional fire detection systems, a computer vision-based fire detection algorithm is proposed in this paper. The proposed fire detection algorithm consists of two main parts: fire color modeling and motion detection. The algo

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Tejaswi, Ms G., Rodda Bhavani, Sarvepalli Srihitha, Shaik Arshiha, and Raja Venkata Sathya Sarayu. "PREDICTING FIRE ALARMS USING MULTI SENSOR DATA: A BINARY CLASSIFICATION APPROACH." Turkish Journal of Computer and Mathematics Education (TURCOMAT) 15, no. 1 (2024): 242–55. http://dx.doi.org/10.61841/turcomat.v15i1.14617.

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Fires pose significant threats to human life, property, and the environment. Early detection of fire incidents is crucial to prevent extensive damage and to ensure the safety of occupants. Traditional fire alarm systems typically rely on a single type of sensor, such as smoke detectors or heat sensors, to detect specific fire indicators. These systems operate based on predefined thresholds and triggers. However, they can be prone to false alarms triggered by non-fire-related events (e.g., cooking fumes or dust) and may not provide early warning signs in certain scenarios. To address these limi

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Zheng, Jun Hui, and Bing Li. "Fire Seat Intelligent Identification System." Applied Mechanics and Materials 536-537 (April 2014): 421–25. http://dx.doi.org/10.4028/www.scientific.net/amm.536-537.421.

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Current fire alarm system can only send fire alarms but failed to report accurately ignition point. So a fire seat intelligent identification system was designed based on wireless sensor networks. The system collects data from wireless sensors using ZigBee wireless communication technology, and carries on cluster analysis on the data set using the improved fuzzy kernel clustering algorithm, and gets accurate clustering results. Finally the ignition source location information is reported to the fire alarm control center. The experimental results show that, compared with other methods, this sys

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Muharam, Mumuh, Melda Latif, Baharuddin Baharuddin, and Ibnum Richaflor. "Pencegahan Kesalahan Alarm dalam Sistem Pendeteksi Dini Kebakan dan Pemadaman Berbasis Internet of Things." JITCE (Journal of Information Technology and Computer Engineering) 4, no. 02 (2020): 53–62. http://dx.doi.org/10.25077/jitce.4.02.53-62.2020.

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    False alarm in fire detection can cause a huge loss. False alarm is generated by unwanted signal of smoke detector such as outdoor smoke or smoking. Therefore, it is designed a system that can reduce false alarm. The purposed system is built based on three components, those are sensors, actuators and data communication. Sensors are smoke, flame and camera sensor. Smoke sensor is used as the first thing to sense a signal from the system that warns the system there is a fire. Flame sensor and camera are used to confirm that a signal of fire whether false alarm or not.

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Enjel Rosiana and Mohammad Fatkhurrokhman. "Analisis Cara Kerja Fire Alarm System di Gedung Nusantara I DPR RI." Jurnal Penelitian Rumpun Ilmu Teknik 2, no. 4 (2023): 11–26. http://dx.doi.org/10.55606/juprit.v2i4.2767.

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A fire alarm system is an automatic early detection system for the danger of fire by looking at the stages of changes in surrounding environmental conditions before fire or smoke triggers a fire. The way a fire alarm works is as a fire detection system used in buildings, the fire system uses conventional fire detection sensors such as smoke sensors or heat sensors. These sensors are placed in various locations within the building, depending on the need and type of hazard to be detected. Research into how fire alarms work is carried out to improve public safety. Fire alarm systems are a key com

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Li, Guo Xin, Fei Lao, Bing Quan Huo, and Long Cheng. "Design of Fire Alarm System in Laboratory." Advanced Materials Research 912-914 (April 2014): 1232–35. http://dx.doi.org/10.4028/www.scientific.net/amr.912-914.1232.

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Fire warning is a matter of concern in laboratory, this paper presents the design of distributed sensors fire warning system. The core idea is that a number of the bottom sensor collection terminals that consists of temperature and smoking sensors are evenly distributed in the laboratory; when there is a fire to happen, the bottom sensor collection terminals will send an alarming signal by the way of wireless communication to the middle layer alarming signal collection terminal, which starts a GPRS module to capture the scene and send the image to the senior monitoring management center. The s

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Ristic, Jovan, and Dragana Radosavljevic. "Decision algorithms in fire detection systems." Serbian Journal of Electrical Engineering 8, no. 2 (2011): 155–61. http://dx.doi.org/10.2298/sjee1102155r.

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Analogue (and addressable) fire detection systems enables a new quality in improving sensitivity to real fires and reducing susceptibility to nuisance alarm sources. Different decision algorithms types were developed with intention to improve sensitivity and reduce false alarm occurrence. At the beginning, it was free alarm level adjustment based on preset level. Majority of multi-criteria decision work was based on multi-sensor (multi-signature) decision algorithms - using different type of sensors on the same location or, rather, using different aspects (level and rise) of one sensor measure

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Al Hasani, Ibtehal Mahfoodh Mohammed, Syed Imran Ali Kazmi, Reehan Ali Shah, RAZA HASAN, and Saqib Hussain. "IoT based Fire Alerting Smart System." Sir Syed University Research Journal of Engineering & Technology 12, no. 2 (2022): 46–50. http://dx.doi.org/10.33317/ssurj.410.

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By combining IoT devices, such as fire alarm systems (smoke and high-temperature sensors), sensors, and other supplementary equipment, the research paper offers the "IOT based Fire Alerting Smart System" in smart buildings. The research article proposes the "IOT based Fire Alerting Smart System" in smart buildings by merging IOT devices such as fire alarm systems (smoke burn with high-temperature sensors), sensors, and other auxiliary equipment. That notification includes the time and location of fire occurs. Comparing two existing smart IoT-based fire warning systems from around the world. Th

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Miss, Cing Nuam Man, and Wai Mar Myint Aung Miss. "Design and Construction of GSM Based Fire Alarm System using PIC Microcontroller." International Journal of Trend in Scientific Research and Development 3, no. 6 (2019): 978–81. https://doi.org/10.5281/zenodo.3589194.

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A fire alarm system is used our properties safe form fire. It can be designed in many ways in different components. Many expensive building must have their fire alarm systems. In market almost systems are indoor systems. The indoor systems can be known only the person who inside the building. So, this paper focus on the design and implementation of knowing the fire status from remote. This proposed system designed has two sensors. One is the smoke sensor and the other is temperature sensor. If these sensors sense the required amount of temperature and smoke, they send SMS to dedicated mobile u

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Sarwar, Bajwa, Jamil, Ramzan, and Sarwar. "An Intelligent Fire Warning Application Using IoT and an Adaptive Neuro-Fuzzy Inference System." Sensors 19, no. 14 (2019): 3150. http://dx.doi.org/10.3390/s19143150.

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In the recent past, a few fire warning and alarm systems have been presented based on a combination of a smoke sensor and an alarm device to design a life-safety system. However, such fire alarm systems are sometimes error-prone and can react to non-actual indicators of fire presence classified as false warnings. There is a need for high-quality and intelligent fire alarm systems that use multiple sensor values (such as a signal from a flame detector, humidity, heat, and smoke sensors, etc.) to detect true incidents of fire. An Adaptive neuro-fuzzy Inference System (ANFIS) is used in this pape

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Shin, Young Min, You Ri Lim, Bong Jun Kim, Hwang Jin Kim, Dong Hun Han, and Chang Seop Lee. "Effectiveness Analysis of Unwanted Fire Alarm Using Carbon Monoxide Sensors." Fire Science and Engineering 36, no. 5 (2022): 40–50. http://dx.doi.org/10.7731/kifse.56c9f690.

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A carbon monoxide sensor was applied with smoke detectors, which trigger unwanted fire alarms, to improve detection reliability. Standardized fire and unwanted fire tests according to UL 268 and scenario-based tests for unwanted fire alarms were performed to analyze the detection effectiveness in fire and unwanted fire situations. Studies on improving unwanted fire alarms using carbon monoxide sensors have been conducted in various fields. However, additional concentration measurements using carbon monoxide sensors in various fire and unwanted fire conditions should be performed for institutio

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Sinaga, Meidiana Putri, Albert Wiweko, and Muhammad Sapril Siregar. "Analysis of Fire Alarm Performance Effectiveness in MV. Rajakarta." ATRIA : Jurnal Multidisiplin Riset Ilmiah 1, no. 1 (2024): 15–21. http://dx.doi.org/10.62554/jd9mp344.

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Fires on ships pose a high risk due to limited access to help from land and firefighting equipment. To minimize these risks, it's important to maximize the effectiveness of the fire alarm system. This can be done by quickly detecting any smoke or fire using the alarm system and taking immediate action before the fire spreads. A qualitative descriptive method was used in this research to investigate the decline in the working function of fire alarms. The research focused on the problems with fire alarm smoke detectors and the correct maintenance methods. The findings of the research indicate th

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Sousa Tomé, Emanuel, Rita P. Ribeiro, Inês Dutra, and Arlete Rodrigues. "An Online Anomaly Detection Approach for Fault Detection on Fire Alarm Systems." Sensors 23, no. 10 (2023): 4902. http://dx.doi.org/10.3390/s23104902.

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The early detection of fire is of utmost importance since it is related to devastating threats regarding human lives and economic losses. Unfortunately, fire alarm sensory systems are known to be prone to failures and frequent false alarms, putting people and buildings at risk. In this sense, it is essential to guarantee smoke detectors’ correct functioning. Traditionally, these systems have been subject to periodic maintenance plans, which do not consider the state of the fire alarm sensors and are, therefore, sometimes carried out not when necessary but according to a predefined conservative

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Li, Naigen. "The Construction of a Fire Monitoring System Based on Multi-Sensor and Neural Network." International Journal of Information Technologies and Systems Approach 16, no. 3 (2023): 1–12. http://dx.doi.org/10.4018/ijitsa.326052.

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An automated fire alarm system is a vital safety facility for modern fire fighting. It is an essential guarantee for people to find fires early and take effective measures to control and extinguish them in time. This article proposes a multi-sensor data fusion algorithm based on artificial neural network (ANN) technology, which intelligently processes various environmental characteristic parameters detected by multi-sensors, effectively detects real fire signals, and realizes early fire monitoring and alarm. The simulation results show that compared with the fuzzy clustering algorithm (FCM), t

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Keano Nikko L. Sy and Jose C. Agoylo Jr. "IoT-Enabled Fire Alarm System with Cloud-Based Storage and Monitoring." International Journal of Latest Technology in Engineering Management & Applied Science 13, no. 9 (2024): 188–96. http://dx.doi.org/10.51583/ijltemas.2024.130919.

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Abstract: The purpose of a fire alarm system is to warn us of an emergency so that we can take precautions to safeguard ourselves, our employees, and the public. However, modern fire alarm systems require a significant amount of wiring and labor during installation. The most frequent issues that was encountered during monitoring commercial and residential fire alarm systems are false alarms, inappropriate installation, lost connections, malfunctioning or aged equipment, and careless maintenance that discouraged users from putting them in their houses as a result. Hence, the researcher develope

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Choi, Wonjun, and Im Y. Jung. "Multi-Sensor Photoelectric Fire Alarm Device Implementation for Early Fire Detection in Campsites." Applied Sciences 14, no. 21 (2024): 9965. http://dx.doi.org/10.3390/app14219965.

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With the growing popularity of leisure activities such as camping and glamping, the incidence of fires at camping sites has increased. This study focuses on improving the effectiveness of photoelectric fire alarm devices by incorporating temperature and humidity data for early fire detection in confined spaces, such as campsites. This study proposes a novel multi-sensor fire alarm system that dynamically adjusts fire detection threshold values based on temperature and humidity data collected by unmanned automatic weather observation systems. The prototype, which was implemented using Raspberry

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Jung, Jong-Jin, and Seok-Jin Song. "Development of a Flame Detector using a 4-wavelength Infrared Sensor." Fire Science and Engineering 35, no. 4 (2021): 107–13. http://dx.doi.org/10.7731/kifse.386e210f.

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In this study, the effectiveness and feasibility of a flame detector using a 4-wavelength infrared sensor that can compensate for the non-fire alarm disadvantages of the existing infrared flame detector was analyzed. The proposed flame detector adds an additional infrared sensor to the existing flame detector that uses two or three infrared sensors. The information from the additional sensor was used to determine non-fire alarms. To determine the fire/non-fire, wavelength information of the flame emitted from the fire source is required. To obtain this wavelength information, various fire sour

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Song, Zhengwei, Ziliang Liu, Yinghui Li, Lanhe Yang, and Runhao Chen. "Intelligent Smoke Alarm Based on Microcontroller." Frontiers in Science and Engineering 5, no. 3 (2025): 407–15. https://doi.org/10.54691/12nbab76.

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The urbanization process is unstoppable, with towering high-rise buildings emerging one after another. In this rapidly developing era, urban buildings continue to rise, and the safety hazards and fire problems of high-rise buildings in cities have not been well solved. Intelligent smoke alarms based on microcontrollers have significant practical significance. Design a real-time fire detection system based on STM32 microcontroller as the microcontroller core, combined with temperature, smoke, and flame sensors to detect various environmental values in real time, providing early warning for fire

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Digambar, A. Jakkan, and D. Kulkarni Deepthi. "Fire Alarm and Monitoring System Using IoT." Journal of Embedded Systems and Processing 5, no. 1 (2020): 1–10. https://doi.org/10.5281/zenodo.3755915.

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<strong>This paper outlines the design with Arduino based device by means of IoT of a home fire alarm.The project is intended for the protection of the home and business, where the main aim is to prevent fire incidents that have happened to people, businesses and property inside the city. It utilizes board Arduino Uno with chip ATmega328. The key controller used is definitely the ATmega328 which controls the fire alarm that is subjected to the temperature sensor at home and in industry. An LM35 temperature sensor is used to detect the heat from the burn. The machine must start fire suppression

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Manya, Sinha, Solanki Shivank, Batra Sudeep, Yojna Arora Dr., and Tewatia Abhishek. "Fire Alarm System Through Smoke Detection." International Journal of Innovative Research in Computer Science and Technology (IJIRCST) 11, no. 4 (2023): 1–4. https://doi.org/10.5281/zenodo.8109886.

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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

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Sansolis, Evans, Karen Alinor Dumpit, and Cheryl Ann Feliprada. "Smart fire monitoring system for a city: design and development." Technium: Romanian Journal of Applied Sciences and Technology 3, no. 10 (2021): 37–47. http://dx.doi.org/10.47577/technium.v3i10.5094.

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All Fire Alarm Systems essentially operate on the same fundamental principle and framework. It provides audible and visual alarm signals. An alarm is raised if a sensor detects smoke or heat, warns people that there may be a fire, and evacuate the premises immediately. Consequently, concerned individuals may call the fire department to mitigate the emergency at which, at this point of time, the firefighter's Emergency Respond Time (ERT) is vital. ERT is one of the contributing factors to how much fire will consume lives and, or properties. In worst cases, an entire building turns into ashes, l

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Chaithra P., Divyashree S., K. Rithesh, et al. "Hardware design & development of a fire alarm circuit in crowded places." international journal of engineering technology and management sciences 6, no. 6 (2022): 262–65. http://dx.doi.org/10.46647/ijetms.2022.v06i06.042.

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This paper gives the brief design of the hardware model & its development of a fire alarm circuit in crowded places is presented in brief. Fire Alarm Circuit is a simple circuit that detects the fire and activates the Siren Sound or Buzzer. Fire Alarm Circuits are very important devices to detect fire in the right time and prevent any damage to people or property. Fire Alarm Circuits and Smoke Sensors are a part of the security systems which help in detecting or preventing damage. Installing Fire Alarm Systems and Smoke Sensors in commercial buildings like offices, movie theatres, shopping

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Kumar, Aman, and Flavia D Gonsalves. "Computer Vision Based Fire Detection System Using OpenCV - A Case Study." Research & Review: Machine Learning and Cloud Computing 1, no. 2 (2022): 25–33. http://dx.doi.org/10.46610/rrmlcc.2022.v01i02.005.

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Conventional fire detection system was based mechanical sensor for fire detection. The smoke particles in the surrounding detected by sensors in the traditional fire detection system. However, this can also lead to false alarms. For example, a person smoking in a room of can activate a general fire alarm system. In addition, these systems are expensive and ineffective if the fire is far away from the detector. An alternatives fire detection system such as system based on computer vision and Image/video Processing technology to manage false alarms from conventional fire detection. One of the mo

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Adams, Donny, and Yo Ceng Giap. "Prototype of Automatic Door and Fire Alarm System Based on IoT." bit-Tech 6, no. 3 (2024): 363–70. http://dx.doi.org/10.32877/bt.v6i3.1246.

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This research discusses the development of a prototype of an automatic door and fire alarm system based on the Internet of Things (IoT) utilizing IR sensors to detect people, servo motors to automate door opening, flame detectors for fire detection, MQ-2 sensors for smoke detection, and Telegram as a notification medium. The integration of these technologies aims to enhance security and automation in home or office environments. IR sensors are used to detect people approaching the door, while servo motors provide a solution for door automation. Flame detectors and MQ-2 are employed to detect p

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Budi Sulistyo, Aris, Benny Dwifa, Nengah Widiangga, and Asep Eka Nugraha. "Sistem Pendeteksi Kebakaran Pada Apron Passenger Bus (APB) Berbasis Mikrokontroler." Jurnal Keselamatan Transportasi Jalan (Indonesian Journal of Road Safety) 8, no. 2 (2021): 104–15. http://dx.doi.org/10.46447/ktj.v8i2.314.

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This research is about constructing a prototype of fire detection warning system on Apron Passenger Bus. The prototype can detect certain possibility of fire and give early warning to the driver. It works automatically based on three sensors used, which are smoke sensor, temperature sensor and flame sensor. The prototype is constructed using these three sensors and combined with Arduino microcontroller. This microcontroller has a role of transmitting information to the alarm system as a fire indicator. Method used in this research begins with simulation of a fire warning system and continued b

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Dionova, Brainvendra Widi, Antonius Darma Setiawan, Devan Junesco Vresdian, Legenda Prameswono Pratama, Muhammad Irsyad Abdullah, and M. N. Mohammed. "Automatic Fire Extinguishing System Using Smoke Detector and Heat Detector Based on Programmable Logic Controller." Eksergi 20, no. 01 (2024): 4–8. https://doi.org/10.32497/eksergi.v20i01.5406.

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Fire is a disaster that is often encountered throughout the year. This research aims to protect and mitigate the worst possibility of a fire disaster. A PLC automatically creates the work system of this tool, using it as the controller. This tool utilizes two sensors: a smoke detector and a heat detector. Two smoke detectors and one heat detector automatically make the system, each providing input to the PLC. The system splits into two parts: Alarms 1 and 2. If any of the three sensors send input to the PLC, Alarm 1 triggers a buzzer and a yellow light. Alarm 2 occurs if 2 or 3 sensors provide

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Ho, Chao Ching, and Dan Wen Kuo. "IEEE 1451-Based Sensor Interfacing and Data Fusion for Fire Smoke Detection." Key Engineering Materials 613 (May 2014): 219–27. http://dx.doi.org/10.4028/www.scientific.net/kem.613.219.

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The performance of a fire sensor has a significant effect on fire detection. Today’s fire alarm systems, such as smoke and heat sensors, however are generally limited to a close proximity to the fire; and cannot provide additional information about fire circumstances. Thus, it is essential to design a suite of low-cost networked sensors that provide the capability of performing distributed measurement and control in real time. In this work, a wireless sensor system was developed for fire detection. The purpose of this paper is to analyze the integration of traditional fire sensors into intelli

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Getu, Beza Negash, Ahmed Alahmed, Alya Alshamsi, Abdulla Alzaabi, Maryam Al Ali, and Nujood Alshamsi. "A GSM and Arduino Based Fire Detection and Control System." International Journal of Emerging Technology and Advanced Engineering 12, no. 5 (2022): 8–14. http://dx.doi.org/10.46338/ijetae0522_02.

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Fire alarm and detection systems play a significant role in preventing life and property damages from fire disasters. Many of the existing fire alarm systems could incur significant expense that is not moderate for low-income users. The main purpose of our project is to design and implement a fire detection and control system that can be produced at a low cost at effective and competitive usage with a main objective of saving life and property damages. The system will be able to detect the temperature of the environment, the presence of fire flame, the gas level and send SMS alert to a user th

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Shingne, Monika, V. P. Thakare, Preeti Bangde, and Utkarsha Bhandekar. "A Review on Smoke Detection and Fire Fighting System." Journal of Embedded Systems and Processing 8, no. 1 (2023): 28–32. http://dx.doi.org/10.46610/joesp.2023.v08i01.003.

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In a quickly growing world, waste control is sincerely considered one of the maximum essential trouble. In India to dispose of scrap fabric there are various methodologies available for dealing with it. Tracking the waste can be viable with the useful resource of the usage of smoke sensors and temperature sensors. Wi-Fi sensor community (WSN) generation is used to have a look at those sensors and deliver a message to the control room to take a movement. This paper sheds some light on some of the cluster-based total goal tracking approaches presently in use. Every approach is provided in conjun

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Farhan, Hassan Lafta, and Asaad S. Daghal. "Improving the Detectionand Warning Fire System on the Smart Campus Area using ANFIS." Al-Furat Journal of Innovations in Electronics and Computer Engineering 3, no. 2 (2024): 422–36. http://dx.doi.org/10.46649/fjiece.v3.2.28a.7.6.2024.

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The adoption of IoT technology in universities has significantly improved campus security, emergency response, and control systems, particularly through IoT-based surveillance and fire detection systems. Traditional fire detection systems suffer from high false alarm rates, leading to unnecessary resource allocation. This paperproposes an intelligent fire detection system leveraging IoT and adaptive fuzzy systems to enhance accuracy and reduce false alarms.The system uses sensors to collect real-time data, which is analyzed by an Adaptive Neuro-Fuzzy Inference System (ANFIS) to determine alarm

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Syahrin, Elvin, and Rahmad Doni. "Rancang Bangun Alarm Pencegah Kebakaran Otomatis pada Rumah Menggunakan Sensor Api dan Asap." Jurnal Sistem Informasi Dan Informatika 1, no. 2 (2023): 80–84. https://doi.org/10.47233/jiska.v1i2.982.

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Fire is a disaster, generally caused more by negligence than the human itself with an impact on loss of property and property, even possibly causing casualties. A lot of data shows the incidence of fires that befell residential buildings. For this reason, a tool is designed that functions as a fire prevention tool by means of Arduino reading the MQ-2 gas sensor and fire sensor, if one of the sensors reads that there is a fire, the alarm will automatically sound and the water tap will open to minimize fires and extinguish fires as the first form of fire prevention.

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G.V. Chalapathi Rao, R. Devender, M. Sai Kumar, and V. Balaji. "INDUSTRIAL SAFETY SYSTEMS USING EMBEDDED SYSTEMS." international journal of engineering technology and management sciences 7, no. 3 (2023): 241–46. http://dx.doi.org/10.46647/ijetms.2023.v07i03.031.

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Fire alarm systems are essential in alerting people before fire engulfs their homes. However, fire alarm systems, today, require a lot of wiring and labour to be installed. This discourages users from installing them in their homes. The proposed system is an ad-hoc network that is distributed over the house. This system consists of a microcontroller (ESP32) connected to an infrared flame sensor that continuously senses the surrounding environment to detect the presence of fire. And also MQ2 and MQ135 gas sensors are used for the detection of smoke and other toxic gases and alert them as per th

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Lee, Ga-Hyeon, Sung-Eun Lee, Si-Kuk Kim, and Seung-Chul Lee. "Indoor Flow Analysis of Undesired Fire Alarm Due to Increase in Humidity." Fire Science and Engineering 36, no. 3 (2022): 37–46. http://dx.doi.org/10.7731/kifse.586418cd.

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Most previous studies pertaining to undesired fire alarms, which are due to fire-fighting equipment, have investigated the response characteristics of smoke detectors. Undesired fire alarms are primarily investigated experimentally using dust, whereas undesired fire alarms caused by humidity (water vapor) are rarely investigated. To investigate undesired fire alarms in this study, experiments were performed in a laboratory using electric pots typically used to increase indoor humidity; additionally, smoke detectors and Iot sensors were installed inside the laboratory. Subsequently, a three-dim

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Erwinnanto, Yohan, Andi Kurniawan N, and Sri Heranurweni. "RANCANG BANGUN SMART HOME AUTOMATIC CONTROL dengan KOMUNIKASI MELALUI BLUETOOTH HC-05 BERBASIS MIKROKONTROLER ARDUINO dan ANDROID." Elektrika 9, no. 2 (2017): 1. http://dx.doi.org/10.26623/elektrika.v9i2.1092.

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<p><strong>D</strong>esign of Smart Home Automatic Control with Communications Via Bluetooth HC-05-Based Microcontroller Arduino and Android, will provide all the comfort, safety, security and energy savings, which takes place automatically and programmed via microcontroller, the house or building. Design of Smart Home Automatic with Control Communications Via Bluetooth HC-05-Based Microcontroller Arduino and Android is intended for automatic control processes.</p><p>The system consists of seven sensors, keypad password for security doors, HC-05 Bluetooth GSM alar

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Alfonsius, Eric. "Development of a Prototype Room Security Monitoring System for Early Fire Detection Using a Prototyping Method Based on Sensors and IoT." MATICS: Jurnal Ilmu Komputer dan Teknologi Informasi (Journal of Computer Science and Information Technology) 17, no. 1 (2025): 42–51. https://doi.org/10.18860/mat.v17i1.29521.

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Many public spaces have implemented monitoring systems to detect fires. Traditional fire monitoring systems typically involve manual supervision of each room, requiring personnel to physically visit locations daily, which is time-consuming and inefficient. This study aims to develop a prototype room security monitoring system designed for early fire detection. The system utilizes IoT technology and a web-based platform, allowing operators to monitor all rooms remotely. The prototype is equipped with fire detection sensors and an alarm system for real-time alerts. Each room is outfitted with a

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Laksmana, Bisma. "Rancang Bangun Alat Penanganan Dan Pengendalian Kebakaran Berbasis Arduino Nano Dengan Si stem IoT." Teknologi Rekayasa Jaringan Telekomunikasi (TRekRiTel) 1, no. 1 (2021): 1–12. http://dx.doi.org/10.51510/trekritel.v1i1.395.

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This will be very useful for residents of the house to prevent what can cause a fire incident. In the main research, system design will make a fire detector and smoke and gas detector, using 3 Flame Sensors and 3 MQ-2 Sensors. This design concept will be installed in each room which consists of 3 rooms. The microcontroller used in this design system is an Arduino Nano microcontroller which functions as part of the Flame Sensor controller, MQ-2 Sensor, WeMos D1 Mini, Relay, and Buzzer. Furthermore, the system output uses a Flame Sensor which is already in a HIGH state so that it can activate au

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Sinha, Manya, Shivank Solanki, Sudeep Batra, Dr Yojna Arora, and Abhishek Tewatia. "Fire Alarm System Through Smoke Detection." International Journal of Innovative Research in Computer Science and Technology 11, no. 4 (2023): 01–04. http://dx.doi.org/10.55524/ijircst.2023.11.4.1.

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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

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Zaenuar Erfandi, Dwi Hartanti, and Joni Maulindar. "Implementasi Internet of Things (IoT) Untuk Sistem Pemantauan Kebakaran Dini Dengan Notifikasi Telegram dan Alarm." Infotek: Jurnal Informatika dan Teknologi 8, no. 1 (2025): 86–93. https://doi.org/10.29408/jit.v8i1.28248.

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Fire is a serious threat that can cause major losses, both material and non-material. This research aims to develop an Internet of Things (IoT) based fire monitoring system at the Tangen District Office to detect fires early. This system uses smoke, temperature and fire sensors integrated with a NodeMCU microcontroller to process data in real-time. Data from sensors is analyzed to detect signs of fire, and notifications are sent instantly via the Telegram application and accompanied by alarm activation. Tests show that the system has a detection accuracy rate of up to 95% in detecting various

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RACHMAN, FATHUR ZAINI, WIRAWAN WIRAWAN, and GAMANTYO HENDRANTORO. "Korelasi Data Sensor UV pada Sistem Deteksi Kebakaran dengan Metode Scanning CW/CCW." ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika 11, no. 1 (2023): 16. http://dx.doi.org/10.26760/elkomika.v11i1.16.

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ABSTRAKSalah satu unsur penyebab kebakaran adalah api. Berbagai sistem deteksi kebakaran digunakan untuk pengidraan seperti sensor tunggal non-visual. akan tetapi, kebanyakan sensor-sensor tersebut memiliki keterbatasan sensitifitas, missed detection dan false alarm. Oleh karena itu, kebenaran data diperlukan untuk mengetahui potensi kebakaran di sekitar area sensor. Pada penelitian ini, mikrokontroler digunakan untuk proses komputasi data berdasarkan sektor dari sensor UV, dimana metode scanning CW/CCW digunakan untuk mendapatkan hasil dari beberapa korelasi data. Hasil percobaan, sistem dete

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Ibrahim, Maha Khalil, Nadia Mahmood Hussien, and Saad Najim Alsaad. "Smart system for monitoring ammonium nitrate storage warehouse." Indonesian Journal of Electrical Engineering and Computer Science 23, no. 1 (2021): 583–89. https://doi.org/10.11591/ijeecs.v23.i1.pp583-589.

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Ammonium nitrate (AN, NH4NO3) is one of the materials used in chemical industry and in agriculture. AN is not considered a fire risk but it is a strong oxidizing agent that can lead to fire and explosion, so, the ammonium nitrate must be stored under specific environmental conditions to avoid the occurrence of dangerous situations. In this paper, a smart monitoring system for Ammonium nitrate storage is developed. The system consists of threeparts: monitoring chemicals system part (MCS), warehouse monitoring part (WMP), and emergency part (EP). MCS includes several hardware components: Arduino

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Taufiq, Muhammad taufiq, and Insani Abdi Bangsa. "ANALISIS INSTALASI FIRE ALARM PADA BASEMENT APARTEMENT SEBAGAI SISTEM PROTEKSI KEBAKARAN." Aisyah Journal Of Informatics and Electrical Engineering (A.J.I.E.E) 5, no. 1 (2023): 58–66. http://dx.doi.org/10.30604/jti.v5i1.125.

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ABSTRACT  As we know fire is a very harmful thing, especially for humans. There are many causes and effects of fires, ranging from loss of property to loss of life. During this time, the fire department would usually be called when a building caught fire. However, the firefighters are often late in arriving at the location when the fire occurs. There are several factors that are indeed a problem for firefighters such as the long distance to the location and so on. Therefore, we need a system that can minimize the spread of fire. Fire alarm system is an integrated system designed an

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Pei, Bei. "The Design of Theft and Fire Alarm Instrument for Intelligent Building." Advanced Materials Research 912-914 (April 2014): 1452–55. http://dx.doi.org/10.4028/www.scientific.net/amr.912-914.1452.

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The total control system and the sub control system are the part of anti-theft and fire alarm system, the main function of the system is acquisition, processing and alarm. The total control system can monitor the working state of the whole system, the sub control system uses a variety of sensors, in order to prevent false alarm, can collect fire and theft alarm signal and dial alarm according to the signal type automatic. Danger information transmission use the public telephone network, which has advantages of a transmission distance, fast response, simple structure, easy installation.

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Ibraheem, Afzal, Abdulrehman, Q. Mehmood N., and Z. Mahfooz S. "A precise GSM and GPS integrated fire alarm system." World Journal of Advanced Research and Reviews 15, no. 2 (2022): 497–501. https://doi.org/10.5281/zenodo.7759213.

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This paper presents the idea of a fire-alarm system that is based on Global System for Mobile Communication (GSM) and Global Positioning System (GPS). Keeping in view the importance of real-time notifications for safety related issues, we developed a fire-alarm system assisted by GSM and GPS technology. It is challenging to monitor homes at far off places. However, the availability of modern sensors and wireless technology have played an important role to deal with such issues efficiently. Moreover, recent improvements in the field of information technology have provided cost effective and eff

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Varalakshmi, C. "Anti-Smuggling Alarm System for Trees in Forest using Raspberry pi." International Journal for Research in Applied Science and Engineering Technology 9, no. VI (2021): 190–95. http://dx.doi.org/10.22214/ijraset.2021.34962.

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Nowadays, There are trees like Sandal; Sagwan etc are going to be smuggled. These trees are very costly and meagre. These are used in the medical and cosmetic products. To restrict their smuggling and to save forests around the globe some preventive measures needs to be deployed. To restrict the smuggling, we have developed a system which consists of two units i.e. Tree Unit and Main Server unit. The Tree Unit consists of MEMS sensor (to detect the inclination of tree when its being cut), Fire sensor (to detect forest fires) and GPS system. Data generated from these sensors is continuously mon

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Bosch, I., A. Serrano, and L. Vergara. "Multisensor Network System for Wildfire Detection Using Infrared Image Processing." Scientific World Journal 2013 (2013): 1–10. http://dx.doi.org/10.1155/2013/402196.

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This paper presents the next step in the evolution of multi-sensor wireless network systems in the early automatic detection of forest fires. This network allows remote monitoring of each of the locations as well as communication between each of the sensors and with the control stations. The result is an increased coverage area, with quicker and safer responses. To determine the presence of a forest wildfire, the system employs decision fusion in thermal imaging, which can exploit various expected characteristics of a real fire, including short-term persistence and long-term increases over tim

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Dandge, Shrikant. "Survey on Fire Detection Using Image Processing." International Journal for Research in Applied Science and Engineering Technology 10, no. 11 (2022): 2048–57. http://dx.doi.org/10.22214/ijraset.2022.47749.

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Abstract: With rising Urbanisation the frequency of fires has increased. A rapid need exists for quick and effective fire detection. Traditional fire detection systems are utilizing physical sensors to detect fire. Sensors gather information about the chemical characteristics of airborne particles, which traditional fire detection systems then use to generate an alarm. However, it can also result in false alerts; for instance, an ordinary fire alarm system might be triggered by smoking inside a space. Using a computer system based on vision for detecting fire would facilitate rapid and precise

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