The Research For Technology Of Holographic Crystal Fire Alarm Evacuation System Node

With the vigorous development of large buildings, people’s requirement of fire alarm and safety evacuation system is becoming more and more high. And the rapid development of computer technology, control technology and communication technology, as well as provide opportunity to the development of fire alarm and safety evacuation system. In order to improve the intelligent level of the system, reduce the rate false positives and non-response rates of fire alarm, enhance the efficiency of the evacuation of people trapped, this paper puts forward the lattice type holographic system of fire alarm and safety evacuation.First of all, the network topology structure of the fire alarm and evacuation system are summarized, which points out the limitations of the current network topology. According to the requirements of fire alarm and safety evacuation system, fire alarm devices and safe evacuation indicating devices are connected to the nearest. cross dissolve, which forms a unified system. According to the structure characteristics of large buildings, the lattice type fire alarm and safety evacuation system topology structure is established, network topology structure of lattice type holographic is design.Then, the intelligent node types and corresponding function is introduced, according to the design principles of fire alarm system, with the single chip processor as the core, hardware design of intelligent fire detection node, intelligent fire alarm node and intelligent safety evacuation instruction node are completed. Among them, the fire signals as temperature, CO concentration, smoke concentration are collected by fire detector with composite detection node circuit, double-color lamp and two-way indicator are adopt by evacuation indicator lights, which improve the efficiency of the trapped personnel evacuation.Secondly, the design of each node and peripheral equipment software is completed Used of the simulation serial port of MCU. the communication between the intelligent devices is completed; Various lire information are recorded intelligently and holographic by single chip microcomputer internal EEPROM. which realize the holographic grid system. Intelligent od network nodes are enhanced, the role of management of equipment is weaken, the reliability of the system is improved.Again, the BP neural network model is build to train and test the standard fire sample data offline by Matlab, the actual probability of test sample value and the desired probability value is very close, which illustrates the training is successful. The connection relation of weight and threshold get by training is import single-chip computer, the nonlinear and complex fire signal is processed, which judge whether there is a fire timely.The work of this paper can improve the intelligence of the system effectively, the rate of false positives and non-response rates of fire alarm system is reduced, the efficiency of the trapped personnel evacuation is improve, which has a very good promotion and application value.