基于智能服装的消防员位置信息融合研究  

Study on the Fusion of the Information of the Firefighters' Position Based on the Smart Textiles

作　　者：林建琴[1,2] 许武军[1,2] 李媛媛 

机构地区：[1]东华大学信息科学与技术学院,上海201620 [2]东华大学教育部数字化纺织服装工程技术工程研究中心,上海201620 [3]上海华力微电子有限公司,上海201203

出　　处：《武汉纺织大学学报》2015年第6期61-66,共6页Journal of Wuhan Textile University

基　　金：上海市科委长三角联合攻关项目(10595812200);中央高校基本科研业务费专项资金项目(11D10417)

摘　　要：智能防护服在传统的功能性消防服中嵌入检测相关信息的各类传感器,以此可以实时检测火场环境信息等。掌握消防人员在火场中的位置也非常重要,由于采用GPS接收器定位高度的精度并不理想,所以将其与气压高度测量仪组合测量得出消防人员的位置信息。这样可以及时反应消防员所处环境情况和位置信息并同时传输到消防车指挥系统,使消防指挥员在掌握现场情况下,更准确地实现调度。将气压高度测量仪和GPS接收器的收集的信息组合,基于联合卡尔曼滤波算法,并由Matlab仿真,发现高度定位的精准度提高较大幅度。Sensors which are embedded in the firefighters＇ protective clothing can detect the real-time environmental information. It＇s critical to master the information of the firefighters＇ position. Since the precision of the GPS receiver is not ideal, it will be much more accurate to measure the firefighters＇ position information through barometric altimeter enhanced GPS combined position. And it can report the information of the environment and fire fighters＇ position in time, and transmit the information to the fire truck command system, so that the fire commanders can realize the dispatch more accurately under the understanding of the scene situation. Based on the result of simulation, through Matlab and federal Kalman filtering algorithm of barometric altimeter combined GPS position, it can distinctly improve positioning accuracy significantly.

关 键 词：信息融合 智能防护服 GPS接收器 气压高度测量仪 联合卡尔曼滤波 

分 类 号：TP393[自动化与计算机技术—计算机应用技术] TP919[自动化与计算机技术—计算机科学与技术]