Fire Monitoring And Warning System Based On Fuzzy Neural Network

As the development of society and economy, the scale of city is expanded rapidly. Under this circumstance, the probability of occurrence of fire accidents increased significantly, the loss of life and property caused by fire is also growing worse. Currently, with the strong development of intelligent buildings, the accuracy of the fire alarm inside the building have become increasingly demanding, and at the mean time，the reliability of fire detection and alarm system is also put forward higher requirements by users.In this thesis, a characteristic signal detection and fire alarm systems software designed and implemented based on the characteristics of fire detection and alarm inside the building actual demand by the use of sensors, microcontroller, wireless communication technology, fuzzy neural network technology and software development technology. The main work in this thesis includes:Firstly, through the current research in the field of fire alarm work summarizes the overall framework of system solutions and capabilities to design, to determine the characteristics of the signal system requires fire detection and contain functional modules and other design. Secondly, from the perspective of the underlying sensor networks, SCM system and wireless communication system of the underlying hardware circuit design analysis and presentation. Thirdly, by using C++, embedded C programming techniques in the software implementation section. At last, the fuzzy neural network model is trained and simulated by using reasoning ability of fuzzy control technology and the learning ability of neural networks, adaptive capacity to process the complex, non-linear structure of the object in the fire detection.This thesis completed the design of fire detection and alarm system. The results showed that fuzzy neural network can improve the accuracy of fire detection, and reducing false positives and false negative rate alarm system, the intelligence of the system is also improved. Finally, this thesis prospects the development of fire detection and alarm systems, and makes some subjects to further research and exploration.