Application of Internet of Things in a Kitchen Fire Prevention System

When using a gas stove to cook, the food or oil in the pot or pan may catch fire because of an excessively high temperature. In addition, people may be uncertain as to whether they have turned off the gas stove before leaving home and therefore feel compelled to return home to check. To solve these problems, this study has developed a smart kitchen fire prevention system that possesses the following devices and functions. (1) Sensors are installed above the stove top. When they detect flames, high temperature, or a gas leak, they immediately activate the gas shutoff device to turn off the gas supply. (2) The alarm produces a loud sound and flashes to warn the residents. (3) The Line reporting system sends Line messages to notify the residents and the community management center, and the main entrance door is automatically unlocked to allow relevant personnel to enter the house to deal with the accident. (4) An Internet protocol camera is installed in the kitchen to enable the residents to monitor the gas stove on their mobile phones. If they find the gas stove is still turned on, they can activate the gas shutoff device to shut off the gas supply from their phones. The system developed in this study can effectively reduce the loss that results from a kitchen fire.

[1]  Yong-Yuan Deng,et al.  An Internet-of-Things-based Sensing Rural Medical Care System , 2019, Sensors and Materials.

[2]  Andrea Conti,et al.  An Overview on Wireless Sensor Networks Technology and Evolution , 2009, Sensors.

[3]  Junguo Zhang,et al.  Forest fire detection system based on a ZigBee wireless sensor network , 2008 .

[4]  R. Jagadeesh Kannan,et al.  Sustainable life-span of WSN nodes using participatory devices in pervasive environment , 2017 .

[5]  Biswanath Mukherjee,et al.  Wireless sensor network survey , 2008, Comput. Networks.

[6]  Charlie Wilson,et al.  Benefits and risks of smart home technologies , 2017 .

[7]  Jesus San-Miguel-Ayanz,et al.  Active Fire Detection for Fire Emergency Management: Potential and Limitations for the Operational Use of Remote Sensing , 2005 .

[8]  Chandreyee Chowdhury,et al.  Unified framework for IoT and smartphone based different smart city related applications , 2019 .

[9]  Yuanyuan Liu,et al.  Review of Smart Home Energy Management Systems , 2016 .

[10]  W. Li,et al.  Sensor selection for improving accuracy of target localisation in wireless visual sensor networks , 2012, IET Wirel. Sens. Syst..

[11]  Mahdi Jalili-Kharaajoo,et al.  Design of Simple Neuro-controller for Global Transient Control and Voltage Regulation of Power Systems , 2005 .

[12]  Alka Dubey Design & development of ARM7TDMI-S based GSM mobile for home automation & security , 2015 .

[13]  Wang Shuai,et al.  Remote Alarm Monitor System Based On GSM and ARM , 2011 .

[14]  Darko Stipaničev,et al.  HISTOGRAM-BASED SMOKE SEGMENTATION IN FOREST FIRE DETECTION SYSTEM , 2009 .

[15]  Awais Ahmad,et al.  Real-time Medical Emergency Response System: Exploiting IoT and Big Data for Public Health , 2016, Journal of Medical Systems.

[16]  Isaac Meilijson,et al.  Localization of Function via Lesion Analysis , 2003, Neural Computation.

[17]  C. Corsi Smart sensors , 1995 .

[18]  Aníbal Ollero,et al.  An Intelligent System for False Alarm Reduction in Infrared Forest-Fire Detection , 2000, IEEE Intell. Syst..

[19]  Vasyl Teslyuk,et al.  Development and Implementation of the Technical Accident Prevention Subsystem for the Smart Home System , 2018 .

[20]  Turgay Celik,et al.  Fast and Efficient Method for Fire Detection Using Image Processing , 2010 .

[21]  Gerhard P. Hancke,et al.  Experimental Link Quality Characterization of Wireless Sensor Networks for Underground Monitoring , 2015, IEEE Transactions on Industrial Informatics.

[22]  Romano Fantacci,et al.  The role of small cell technology in future Smart City applications , 2014, Trans. Emerg. Telecommun. Technol..

[23]  Jie Xu,et al.  Clustering and fault tolerance for target tracking using wireless sensor networks , 2011, IET Wirel. Sens. Syst..

[24]  Carlos F. Pfeiffer,et al.  A Review of Smart House Analysis Methods for Assisting Older People Living Alone , 2017, J. Sens. Actuator Networks.

[25]  Sarbani Roy,et al.  Energy-Efficient GPS Usage in Location-Based Applications , 2018 .

[26]  Damien Hanyurwimfura,et al.  A Novel Algorithm for Fire/Smoke Detection based on Computer- Vision , 2014 .

[27]  Maurizio Valle,et al.  Indoor ranging and localisation algorithm based on received signal strength indicator using statistic parameters for wireless sensor networks , 2015, IET Wirel. Sens. Syst..

[28]  Eugeny I. Batov The Distinctive Features of “Smart” Buildings , 2015 .

[29]  Marimuthu Palaniswami,et al.  An Information Framework for Creating a Smart City Through Internet of Things , 2014, IEEE Internet of Things Journal.

[30]  Gerhard P. Hancke,et al.  Using Cognitive Radio for Interference-Resistant Industrial Wireless Sensor Networks: An Overview , 2015, IEEE Transactions on Industrial Informatics.

[31]  Awais Ahmad,et al.  Hadoop-Based Intelligent Care System (HICS) , 2017, ACM Trans. Internet Techn..

[32]  Andrezza Kyunmi Kim,et al.  Review of Recent Developments in Fire Detection Technologies , 2003 .

[33]  Eric Campo,et al.  A review of smart homes - Present state and future challenges , 2008, Comput. Methods Programs Biomed..

[34]  Won-Hwa Hong,et al.  Exploiting IoT and big data analytics: Defining Smart Digital City using real-time urban data , 2017, Sustainable Cities and Society.

[35]  Faisal Saeed,et al.  IoT-Based Intelligent Modeling of Smart Home Environment for Fire Prevention and Safety , 2018, J. Sens. Actuator Networks.

[36]  Francesco Mondada,et al.  Evolutionary neurocontrollers for autonomous mobile robots , 1998, Neural Networks.

[37]  Turgay Çelik,et al.  Fire detection using statistical color model in video sequences , 2007, J. Vis. Commun. Image Represent..

[38]  Iftekharul Mobin,et al.  An Intelligent Fire Detection and Mitigation System Safe from Fire (SFF) , 2016 .