摘要
提出一种基于WSN和数据融合技术的室内空气可吸入颗粒物的检测与评估系统。系统无线采集终端集成了PM2.5、PM10颗粒物传感器以及温湿度传感器共4种传感器组成无线传感网,进行室内可吸入颗粒物与温湿度的数据采集,并通过协调器将采集到的数据发送给上位机,在上位机建立融合评价算法的模型,对室内可吸入颗粒物质量进行评价。实验表明,该系统能够完成室内颗粒物的数据采集、传输,并能够利用评价模型对室内空气质量做出评价。
A detection and evaluation system of inhalable particulate matter in indoor air based on WSN and data fusion technology is proposed.The system wireless collection terminal integrates PM2.5,PM10 particle sensor and temperature and humidity sensor to form a wireless sensor network for indoor inhalable particles and temperature and humidity data collection,and send the collected data to the host computer through the coordinator.A model of fusion evaluation algorithm was established in the upper computer to evaluate the quality of indoor inhalable particulate matter.Experiments show that the system can complete the data collection and transmission of indoor particulate matter,and can use the evaluation model to evaluate the indoor air quality.
作者
冯金龙
陈育中
FENG Jin-long;CHEN Yu-zhong(Nanjing Branch of Jiangsu Union Technical Institute,Nanjing,Jiangsu,China 210019)
出处
《湖南邮电职业技术学院学报》
2022年第3期25-30,共6页
Journal of Hunan Post and Telecommunication College
基金
2022年江苏省职业教育教学改革研究课题“‘对分课堂’教学模式在五年制高职现代通信技术专业群平台课程教学中的应用研究”(课题编号:ZYB549)。