基于物联网的室内微环境智能监测系统

Indoor Micro Environment Monitoring System Based on Internet of Things

针对现代生产生活对室内微环境实时多参数监测的需求,设计一种微环境监测系统模型及软件结构,以DSP、ARM为核心芯片实现系统自校正、多传感、存储和无线通信等功能。该系统利用TEDS校正引擎实现多传感自校正;利用基于时间同步的传感网络信息预测技术,改善了由于网络不确定性造成的传感器信号采样延时问题;基于SVM模型的舒适度评价方法实现了综合舒适度评价,以此作为室内环境自动调节控制的指导依据。应用实验研究表明,温度检测误差±1.0%,湿度检测误差±3%RH,噪声检测误差±2 dB,光照检测误差±4%,气体甲醛检测分辨率0.01 mg/m^3,具有良好准确度,可实现多终端实时监测。

The paper introduces a kind of micro environmental monitoring system model and its software structure design.The monitoring system with ARM and DSP has achieved functions of self-calibration,multi-sensing,storage and wireless communications,etc.,and uses TEDS correction engine to implement the self-calibration of multi-sensing information.It uses prediction technology of sensor network information to improve the delay of the sensor signal sampling caused by network uncertainty,and uses SVM model to realize the comprehensive comfort assessment,which can be used as a guide for the automatic control of the indoor environment.The application experiment showed that its temperature measurement error is ±1.0%,humidity measurement error is ±3%RH,noise measurement error is ±2dB,illumination measurement error is ±4%,formaldehyde measurement resolution is 0.01mg/m3.