Kitchen Fire Safety System

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dc.contributor.author Nyati, Prateek
dc.contributor.author Jain, Akshay
dc.contributor.author Nuwal, Nakul
dc.contributor.author Gandhi, Pravinray D.
dc.contributor.author Ghoroi, Chinmay
dc.contributor.other International Conference on Safety: Promoting a Culture of Safety
dc.coverage.spatial Ahmedabad, Gujarat, IN
dc.date.accessioned 2014-04-24T08:23:31Z
dc.date.available 2014-04-24T08:23:31Z
dc.date.issued 2012-10-12
dc.identifier.citation Nyati, Prateek; Jain, Akshay; Nuwal, Nakul; Gandhi, Pravinray D. and Ghoroi, Chinmay, “Kitchen Fire Safety System”, in International Conference on Safety: Promoting a Culture of Safety, Ahmedabad, IN, October 12 - 13, 2012. en_US
dc.identifier.uri https://repository.iitgn.ac.in/handle/123456789/1124
dc.description.abstract Fire occurrence in Indian home is well documented. Presence of cooking oils and appliances used for preparing food along with presence of Liquefied Petroleum Gas (LPG) as a source of energy make it ideal combination of fire hazard at kitchen. Statistical data in India show that approximately 16% of fires in Indian home originate in the kitchen. Many of these fires are suspected to be due to distracted or unattended cooking. A research project was designed to collect data on the conditions (e.g., temperature, gases, smoke) around the Indian kitchen cooking appliance while heating the oil using a LPG stove appliance. Experiments were conducted by heating cooking oils typically used in India such as sunflower oil, soybean oil, groundnut oil and mustard oil. The kitchen appliance environment was instrumented to measure temperatures and carbon monoxide concentration. The data generated during experiments were collected using a data acquisition system which collected the oil temperatures, and carbon monoxide (CO) concentration measured in the kitchen ventilation system (chimney). Based on the observations and analysis of the experimental data, a multi-sensor algorithm was developed to predict potential occurrence of fire. The algorithm includes oil temperature and CO measurement in the kitchen ventilation. The algorithm has been incorporated in a microprocessor based fire detector kit to provide a multi-level response to the fire threat. It can, for example, (i) alert the home occupant through an alarm; (ii) send Short Messaging Service (SMS); (iii) call the occupant; and (iv)cut off the LPG (fuel) supply to cooktop. en_US
dc.description.statementofresponsibility by Prateek Nyati, Akshay Jain, Nakul Nuwal, and Chinmay Ghoroi
dc.language.iso en en_US
dc.subject CO sensor en_US
dc.subject Fire protectionx en_US
dc.subject Kitchen fire en_US
dc.subject Oil heating en_US
dc.subject Safety en_US
dc.title Kitchen Fire Safety System en_US
dc.type Article en_US


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