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| Paper Title |
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Prototype for early detection of fire hazards using fuzzy logic approach and Arduino microcontroller |
| Author Name |
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Ause Labellapansa, Nesi Syafitri, Evizal Abdul Kadir, Rizauddin Saian, Aqilah Saibah, Marina Binti Ahmad and Siti Nurain Rusly |
| Abstract |
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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. |
| Keywords |
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Fire early detection, Fuzzy logic in arduino, Prototype alarm system. |
| Cite this article |
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Labellapansa A, Syafitri N, Kadir EA, Saian R, Saibah A, Ahmad MB, Rusly SN. Prototype for early detection of fire hazards using fuzzy logic approach and Arduino microcontroller. International Journal of Advanced Computer Research. 2019; 9(44):276-282. DOI:10.19101/IJACR.PID47. |
| References |
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