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Intelligent Fire Auto-detection Technology Base On Fuzzy And Neural Network

Author: ZhangWeiWei
Tutor: YiJiZuo
School: Beijing University of Technology
Course: Automation
Keywords: Neural Networks Fuzzy Logic Fire feature model Probability of fire alarm Simulation Study Communication Interface Design System Test
CLC: TP277
Type: Master's thesis
Year: 2000
Downloads: 330
Quote: 9
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Abstract


Summary of neural networks and fuzzy logic based on the combination of the characteristics of the fire alarm system , a fire detection feature model and a way to give the probability of fire forecasting intelligent algorithm . This algorithm combines the characteristics of each of the neural networks and fuzzy logic . It is judged based on the overall trend of the detection signal in a period of time . Therefore , this algorithm can be more accurate given the probability of fire forecasting , simulation studies prove the feasibility of the method . Intelligent fire alarm algorithm based on a hardware interface board design and debug . The interface board to complete the IPC and external data exchange function . Interface board for ISA bus standard 485 protocol interface with the outside world . The latches work of the interface board . This article has also prepared a fire alarm system of the PC software . PC software via an interface board for each loop detector information , and reaction on the software interface ; same time , the user can be different instructions through the interface board sent to control the operational status of each detector . On the basis of the overall framework of the PC software , has completed a program of preparation of some key modules , communication modules , database operation module . Experiments show the rationality of the design .

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CLC: > Industrial Technology > Automation technology,computer technology > Automation technology and equipment > Automation systems > Monitoring, alarm,fault diagnosis system
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