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dc.contributor.authorSripho, Peerayuthen_US
dc.contributor.authorพีระยุทธ ศรีโพธิ์en_US
dc.contributor.authorSantipatee, Kanchanaen_US
dc.contributor.authorกาญจนา สันติปาตีen_US
dc.contributor.authorOdjai, Woradaen_US
dc.contributor.authorวรดา อดใจen_US
dc.date.accessioned2020-09-11T08:55:39Z
dc.date.available2020-09-11T08:55:39Z
dc.date.issued2020-09-11
dc.identifier.urihttp://repository.rmutp.ac.th/handle/123456789/3378
dc.descriptionโครงงานพิเศษ (อส.บ.) -- มหาวิทยาลัยเทคโนโลยีราชมงคลพระนคร, 2561en_US
dc.description.abstractThis project aims to create the model of fire protection system for the kitchen. The model installed of protection and notification systems was created by using the Google SketchUp program with a ratio of 1:10 from the real kitchen scale. According to the literature, it was found that more than 50 % of the fire within the shelter occurred in a kitchen. The main causes are flame, heat, sparks, and electrical equipment. The system was developed to detect flame, gas and smoke by using infrared sensor (IR FLAME) and gas detection device (MQ-2). Arduino MEGA2560 is a central processor to control the device of the protection system. Node MCU is a data receiver with Arduino to display the average amount of gas flame through the Blynk application in real time and send notification via the Line application when the amount of either flame, gas, or smoke is greater than or equal to the specified quantity. Fire protection system is divided into 3 conditions: fire, gas, and smoke. In case of fire, the sprinkler will be activated with class K extinguishers to extinguish fire. In gas leakage conditions, ventilator will be activated to ventilate the gas leaks and the gas supply is cut off. For smoke condition, the ventilator will be activated to ventilate the smoke out of the kitchen. The results of the experiment by using the method of dividing into 13 simulations in total. The system can detect the flame with 12 points, 92% from 13 points. In case of gas, a can of gas was used in all tests. Nine points of gas can detect with 69% of the total 13 points. The smoke detector can capture smoke with a large amount of smoke. There are a total of 13 tests that can capture 11 smoke points, representing 84% of all 13 points.en_US
dc.description.sponsorshipRajamangala University of Technology Phra Nakhonen_US
dc.language.isothen_US
dc.subjectFire protectionen_US
dc.subjectอัคคีภัยen_US
dc.subjectfire protectionen_US
dc.subjectการป้องกันอัคคีภัยen_US
dc.subjectapplicationen_US
dc.subjectแอพพลิเคชั่นen_US
dc.titleModel of fire protection system for kitchen through Mobile Applicationen_US
dc.title.alternativeชุดจำลองการป้องกันการเกิดอัคคีภัยในห้องครัวผ่านแอพพลิเคชั่นen_US
dc.typeStudent Projectsen_US
dc.contributor.emailauthorarit@rmutp.ac.then_US


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