Research On Accurate Positioning System Of Building Fire Based On ZigBee

With the development of society.The large buildings in the current society are not as simple as the previous buildings,but a highly complex high-rise building.The various lines inside the building are dotted and the internal structure is complicated.If there is no road sign,it is easy to find the exit,so once When a fire breaks out,the work of the evacuated people becomes very complicated,which in turn has serious consequences.Therefore,research on intelligent building fire prevention has become a hot topic,the traditional sensor,spray Although the technology of the sprinkler system is mature.The complex structure inside the building and the fire source are difficult to find in time,which brings difficulties to the firefighting work of the firefighters,and also makes the traditional system cope with the modern high-rise buildings.It seems to be stretched.In order to improve the fire prevention of modern buildings and the fire-fighting efficiency in the event of fire,this paper will propose a ZIGBEE-based building fire precise positioning system to achieve accurate and efficient fire extinguishing.The main work and innovations of this dissertation are as follows:1.Choosing the right sensor in the monitoring part of the fire point,using a more advanced flame sensor,using the flicker frequency of the monitoring flame to determine whether there is an open flame,so the accuracy is much higher than the traditional temperature and humidity sensor,plus the smoke sensor assists,which increases the accuracy.2.After the sensor collection work is completed,the collected information parameters are communicated through the ZigBee network.The way the sensors are distributed is different for different internal structures of the building.In order to make the wireless network more efficient,calculate the corresponding parameter.Arranging according to parameters can make the whole network have the highest efficiency.3.After the completion of the node,because the internal structure of the building is complex.The specific location of the fire point cannot be found in time,so it is necessary to give the fire point a specific positioning,because the ZigBee itself has a change in power with the change of the distance,so The distance is obtained and the relevant position can be calculated.However,the RSSI-based positioning method is greatly affected by the environment and obstacles.Therefore,the algorithm needs to be improved,and the algorithm is optimized by Gaussian filtering and improved Kalman filtering.4.By matlab simulation,the filtering ability of the improved Kalman filter in powerattenuation model is compared with that of the general Kalman filter and the improved Kalman filter in power attenuation model.The simulation results show that the improved Kalman filter can reduce the interference better than the general Kalman filter and the non-filter Kalman filter.By solving the average distance error of the same RSSI value,the improved Kalman filter can reduce the interference effectively.The distance deviations of these three RSSIs are obtained,and then the coordinate errors can be calculated by the deviation values and the coordinates of anchor nodes.