基于AliOS Things的室内环境数据采集与可视化技术研究

Research on indoor environmental data acquisition and visualization technologies based on AliOS Things

内嵌AliOS Things云端一体化嵌入式物联网操作系统的Developer Kit开发板搭载了一系列常用传感器。文章针对室内环境下卫星定位信号差的问题,采用Developer Kit板载陀螺仪与加速度传感器实现了室内惯性导航定位,使用引入了零速监测的步行者航位推测算法提高惯性导航定位的精度;在定位的基础上同步采集磁场强度、光照度、温度等数据,基于采样时间比较实现了数据与位置的匹配,并实现了冗余点和噪声的过滤与剔除;采用ArcGIS软件的克里金插值方法对室内电磁、光照、温度数据实现了二维空间化与可视化,同时解决了传统环境监测平台中数据采集种类和采样点单一化的问题。实验结果表明,AliOS Things可作为室内电磁、光强及温度等环境数据监测的低成本可选平台。

A series of common sensors are equipped on the Developer Kit development board of cloud integrated embedded IoT operating system embedded with AliOS Things.As the satellite positioning signal in indoor environment is poor,the gyroscope and acceleration sensor on the Developer Kit are used to realize the indoor inertial navigation positioning,and the pedestrian dead reckoning algorithm introduced zero speed monitoring is used to improve the accuracy of inertial navigation and positioning.On the basis of positioning,the data of magnetic field intensity,light intensity,temperature and other data.are collected synchronously.The data and location based on the comparison of sampling time are matched,and the filtering and elimination of the redundant points and noise are realized.The Kriging interpolation method of ArcGIS software is used to realize the two⁃dimensional spatialization and visualization of indoor electromagnetism,lighting,temperature data,and solve the problems of simplification of data collection types and sampling points in the traditional environmental monitoring platform.The experimental results show that AliOS Things can be used as a low⁃cost optional platform for monitoring of indoor electromagnetism,light intensity,temperature and other data.