AED 急救地图设计研究-《计算机技术与发展》

文章信息/Info

Author(s):: XIAO Hong-yu; HE Hui; CHEN Hong-shun; School of Information Technology,Beijing Normal Univerity,Zhuhai,Zhuhai 519087,China

Keywords:: automated external defibrillator; WiFi fingerprint database; location based services; indoor positioning; path planning

摘要:: 针对珠海 AED(自动体外除颤仪)缺乏有效管理的现状,该文以微信小程序为载体,基于地图开放 API、LBS 技术、GIS 技术和云服务技术,研究设计了珠海 AED 急救地图,便于用户一键获取全市 AED 投放情况及院外心搏骤停急救科普资讯。急救地图系统由移动终端应用层、AED 急救地图管理层、AED 急救地图存储层构成,其中管理层和存储层部署在云服务器。该文采用 WiFi 定位与行人航迹推算粒子滤波融合的方式提高室内定位精度,采用行走采集的方法构建 WiFi 指纹数据库,利用智能手机内置的陀螺仪及旋转矢量传感器等设备及球面线性插值算法获得行人更为稳定的航向;采用Dijkstra 算法规划用户抵达周边 AED 设备的最短路径,并提供实时导航服务。在珠海机场开展的室内定位和导航实验表明,室内定位准确度较高,规划的路径与实际最短路径基本吻合。

Abstract:: Aiming at the lack of effective management of AED (automatic external defibrillator) in Zhuhai,taking WeChat Mini Programas the carrier,on the basis of open map API,LBS,GIS,and cloud service technology,we study and design the AED emergency map of Zhuhai,which is convenient for users to get the AED delivery situation in the whole city and the popular-science knowledge of out-of hospital cardiac arrest. Emergency map system consists of mobile terminal application layer,AED emergency map management layer and AED emergency map storage layer. The management layer and storage layer are deployed in the cloud server. The particle filter fusionalgorithm which combined WiFi positioning and pedestrian dead reckoning is used to improve indoor positioning accuracy,building WiFi fingerprint database by walking collection method,and the gyroscope,rotation vector sensor and spherical linear interpolation algorithm are used to obtain more stable heading of pedestrians. Dijkstra algorithm is used to plan the shortest path to the AED equipment nearby and provide real-time navigation service. The indoor positioning and navigation experiments in Zhuhai Airport show that the indoor positioning accuracy is high and the planned path is basically consistent with the actual shortest path.