基于ZigBee的室内空气质量感知系统的设计

Design of Indoor Air Quality Perception System Based on ZigBee

摘要:

随着物联网技术速发展，给人们的生活带来越来越多的应用。因此，对无线传感器网络节点部署到室内，实时采集室内环境数据，并对数据进行相应的融合和处理分析出室内环境的动态变化情况，并且能够预测每个时间段的环境状况，并将其分析结果实时反馈给用户，提醒当前的室内环境问题进行了研究。首先，采集室内的温度、湿度、PM2.5和VOCs，利用ZigBee无线通信技术，作为传感器网络的通信基础，同时利用各传感器实时获取室内环境物理数据，通过多元数据的多元线性回归算法对室内环境进行有效监控和评估，通过实验对数据的分析最终在多元线性回归算法中拟合出的均方根误差RMSE为0.0495，能够预测出室内各项因素的变化情况。

Abstract:

With the rapid development of the Internet of Things technology, more and more applications are brought to people's lives. Therefore, wireless sensor network nodes are deployed indoors, real-time collection of indoor environmental data, and corresponding fusion and processing of the data to analyze the dynamic changes of the indoor environment, and can predict and analyze the environmental conditions in each time period. The results are fed back to the user in real time, reminding the current indoor environmental issues to be studied. First, collect indoor temperature, humidity, PM2.5 and VOCs, utilize ZigBee wireless communication technology as the communication basis of the sensor network. At the same time, each sensor is used to obtain physical data of the indoor environment in real time. For effective monitoring and evaluation, the data is analyzed through experiments and the root mean square error RMSE is finally fitted in the multiple linear regression algorithm to be 0.0495, which can predict the changes of various indoor factors.