Research On Disaster Scene Evacuation With Indoor Location Positioning

The shanghai incident in December 32,2014 and Tianjin Binhai,these accidents cause everyone's attention to safety issues.At present the study of accident escape route is very poor,and no method can be used in daily scene.This paper combine indoor location positioning,light positioning and escape path planning methods to design the algorithm to accident rescue.This paper consists of three main parts: sensor energy saving algorithm,indoor location algorithm and escape route planning algorithm.Sensor energy saving algorithm is used to rearrange sensors' wakeup slot,supports the node rendezvous maintenance with a reduced number of active slots to save system energy and eliminate redundant slots under full connectivity.Experimental results show that this algorithm can save 55% energy and 5% time delay compared to other algorithms.Indoor localization algorithm has two parts: Gaussian localization and visible light localization.The input of Gaussian localization is fingerprinting sample point data.It uses Gaussian Process Regression and Naive Bayes,combines some experienced methods to estimate the final position,which is the main method in indoor location positioning.By comparing the experimental results with Zheng's method,this algorithm has achieved a better result.Visible light position comprises light encoding and decoding part,mainly introduces the principle of visible light localization,which is the assisting method in the indoor positioning.These two methods ensure the accuracy of indoor localization algorithm.Accident route algorithm takes into account the accident area and export position,in that the user will not pass from the dangerous area conditions,calculate the best escape route for user.Sensor energy saving algorithm ensures the effectiveness of sensor network.Escape route planning designs the safe path for user and the indoor positioning method guide user to the exit.At present,the subject is theoretically verified,which proves the possibility of commercial use in the future.