The campus is a densely populated area,and the hostel is one of the importantplace for the students living and activities,personnel with mobility and intensivesex is very strong,if the students illegal use of high-power electrical appliances in the dormitory,too large power carrying will circuit, easy to cause fire,under normal circumstances,fire,will produce a lot of smoke,the establishment of monitoring system of dormitory smoke, can the occurrence of fire prevention. At present, the rapid development of sensor technology, wireless communication technology to provide a solid technical support for intelligent fire protection management system of our upgrades and replacement, and this paper is under the background of such technology, aiming at the problem of how to improve thefire protection management system of intelligent water level are researched, in order to expect to be able to reduce the the false positive rate and false negativerate.the actual application situation at home and abroad on the currentstage of the first wireless monitoring network are systematically analyzed, and sort out the main research results, ZigBee wireless monitoring network chose to apply to fire protection management system of dormitory intelligent, according to the actual situation of university dormitory building design and construction of the fire protection system of network management of wireless communicationintelligence, and according to the concrete system design requirements, the choice of smoke and flames suitable control of smoke control and management.Finally by BP neural network algorithm as the fire detection algorithm, this algorithm has the characteristics of strong fault tolerance, low error rate, low failure rate in the actual application process, able to fire various types of datatimely and effective treatment, the actual situation as the basis to determine thefire disaster. Then it introduces the application of virtual instrument, and the characteristics of LabVIEW are analyzed,he development of the BP neural network algorithm using LabVIEW virtual instrument in this study, in addition, the design and implementation of an algorithm with neural network based automatic fire alarm system and constructs a virtual, dormitory fire recognition model, andhas carried on the simulation experiment simulation and fire, after the completion of the experiment, the results show that the algorithm can solve the contradiction between the fire detection sensitivity and false alarm rate effectively, achieve the expected effect.Wireless intelligent fire protection management system based on Lab VIEW has high reliability, low failure rate, but there are still some room for improvement, soat the end of the paper put forward some methods of improving the system, andthe development of it is prospected. |