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- Type of Document: M.Sc. Thesis
- Language: English
- Document No: 42919 (55)
- University: Sharif University of Technology, International Campus, Kish Island
- Department: Science and Engineering
- Advisor(s): Vosoughi Vahdat, Bijan
- Abstract:
- The fire event may cause danger to life and property. In general, most fire-detection devices are set on the wall or ceiling. . However, this method is not flexible enough to detect a fire occurrence, and this needs the use of many fire-detection devices in a building. Since it is not suitable, we use an active fire-detection device to detect a fire incident. In the past, smoke sensors were used for fire detection, but often the smoke sensors triggered a false alarm when someone smoked in the room. Therefore, multisensor fire-detection methods are one of the current important developments for fire- detection technology. We design a fire-detection module using an ionization smoke sensor (TG-135), temperature semiconductor sensor (AD590), and ultraviolet sensor (R2868). Finally, we implement the real-time fire-detection module in an intelligent security robot. In order to improve the detection ability, we use adaptive data fusion algorithms to get highly reliable results in the fire-detection system.
- Keywords:
- Ionization Smoke Sensor ; Temperature Semiconductor Sensor ; Ultraviolet Sensor ; Adaptive Data Fusion Algorithms ; Multisensor Fire Detection
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