采用物联网技术的震后多生命体目标定位研究  

Research of Post Earthquake Multi-life Target Localization Based on Internet of Things Technique

作　　者：高韬[1,2] 姚振静[3] 王向东[4] 刘宏[4] 

机构地区：[1]华北电力大学自动化系,河北保定071003 [2]河北省电子信息产品监督检验院,河北石家庄050071 [3]防灾科技学院防灾仪器系,北京101601 [4]中国科学院计算技术研究所,北京100190

出　　处：《应用基础与工程科学学报》2013年第5期991-1003,共13页Journal of Basic Science and Engineering

基　　金：国家自然科学基金(60772080;71102174);天津市科技支撑计划重点项目(10ZCKFSF01100);河北省科技支撑计划项目(12213519D)

摘　　要：针对多数生命探测装置只能探测震后灾害环境某一区域的生命体信息的现状,采用物联网技术,将大量超声传感器节点分布于现场环境中,对各个区域内的生命体进行定位.为提高多生命体目标定位性能,发射端采用混沌编码和二值频移键控构造超声传感器的扩频发射信号,相关技术被用于接收端解扩.采用了遗传算法优化混沌初值以提高回声信号相关效果.实验结果表明,物联网超声传感器节点采用优化二值频移键控作为发射信号可实现多个生命体同时定位,定位绝对误差在4.0cm以内.According to the present situation of life detection instrument, which can only detect regional life information in post-earthquake disaster environment, the internet of things technique is applied in multi-life targets location system. Many ultrasonic sensor nodes are distributed in the field environment to locate the multi-life targets in each region. To improve the performance of multi-life location system based on internet of things, the chaotic codes with Binary Frequency Shift Keying （BFSK）were used to construct the spread spectrum emission signals for ultrasonic sensors. Correlation technique in the receiving circuit was used to de- spread. In order to improve the echo signal correlation effect, genetic algorithm was applied to optimize chaotic initial values. The experimental results demonstrated that the ultrasonic multi- life location system based on internet of things with optimized BFSK emission could realize the simultaneous location of multiple live subjects with maximal 4. Ocm absolute error.

关 键 词：物联网 生命体定位 震后救援 传感探测 信号优化 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]