| With the fast development of Chinese technology and economy,the number of fire disaster is growing every year.During the year of 2013 and 2014,the number of fire disaster is 2.5 times more than before,what's more,the number of major fire disaster also showed an upward tendency.A bitter lesson was given from the Tianjin Tanggu development zone explosion happened in 2015,more than 165 persons lost their lives in this explosion and fire disaster.In addition,the general indoor personal positioning service of public buildings seems a broad application prospects,such as library,large conference hall and exhibition building.Based on current research background this paper was proposed and designed an indoor positioning and monitoring demo-evaluation system which based on WSN and combined fire alarm with personal positioning service technology.This system can be divided into positioning subsystem and monitoring subsystem.In the main function of positioning subsystem,trace and show the location of personal,a fire alarm was given and real-time indoor environment parameters was show by the monitoring subsystem.The monitor subsystem is based on TI CC2530 micro controller which ZigBee wireless protocol stack runs in it.The MCU(MSP430G2553)in wireless acquisition section collects the environmental quality data from the temperature-humidity sensor,air partical sensor and light sensor and then transmits the information to ZigBee-IP gateway via WSN.The embedded Web Server runs in ZigBee IP gateway and it shows environmental quality data on Web before fire disaster happens.The positioning subsystem combined two different positioning methods,inertial navigation and RSSI fingerprint.The moving node acquires nine-axis acceleration sensor data via MPU9250 and then transmits data to the ZigBee wireless network throuah the MSP430f5529 and ZigBee.Then according to the collected three axes accelerometer and gyroscope information,the paper introduced three algorithms(step detection,direction determination and personal state determination)which based on Pedestrian Dead Reckoning.After that,positioning monitoring software was designed and it can display the real-time personal motion trace and individual personal status.Finally,a whole test system was designed.The system step count error is within 3%and it can show the real-time status information and environment parameters.The average positioning error of aided fingerprint positioning is 52.57cm and its standard deviation is 27.025cm.So it can meet the needs of aided positioning.In addition,it also can eliminate the cumulative error which caused by inertial navigation.Compared with single inertial navigation positioning and single fingerprint positioning,the average positioning error of this system decline to 26.39cm and the positioning accuracy of the system improved. |
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