摘要
由于传统系统对空气质量智能监测效果不佳,不仅监测误差较大,而且响应时间较长,因此设计基于物联网技术的空气质量智能监测系统。采用物联网技术设计系统架构,由应用层、边缘计算层、传输层以及感知层4个功能层组成。硬件方面,系统设计了各空气质量指标传感器;软件方面,系统利用偏最小二乘回归分析技术对采集数据进行校正处理,并根据空气质量标准确定空气质量等级,生成监测报告并进行预警响应。实验证明,设计系统监测误差较小,响应时间较短,达到了良好的空气质量智能监测效果。
Due to the poor effect of the traditional system on the intelligent monitoring of air quality, not only the monitoring error is relatively large, but also the response time is relatively long, so the intelligent monitoring system of air quality based on the Internet of Things technology is designed. The system architecture is designed using the Internet of Things technology, which is composed of four functional layers: application layer, edge computing layer, transport layer and perception layer. The hardware of the system designed the air quality index sensor. In the system software, partial least squares regression analysis technology is used to correct and process the collected data, determine the air quality grade according to the air quality standard, generate monitoring reports and make early warning responses. The experimental results show that the monitoring error of the design system is relatively small, the response time is relatively short, and it has a good effect of intelligent air quality monitoring.
作者
许绘香
王自明
张浩
武畅
XU Huixiang;WANG Ziming;ZHANG Hao;WU Chang(College of Information Engineering,Zhengzhou Institute of Technology,Zhengzhou Henan 450044,China)
出处
《信息与电脑》
2023年第1期137-139,共3页
Information & Computer
基金
河南省大学生创新创业训练计划项目“基于物联网的智能空气质量监测系统”(项目编号:S202111068008)
2023年河南省高等学校重点科研项目“基于多传感器的室内环境参数监测与控制系统”(项目编号:23B520024)
郑州工程技术学院大学生创新创业项目(项目编号:202111068008)。
关键词
物联网(IoT)技术
空气质量
监测系统
传感器
偏最小二乘回归分析
Internet of Things(IoT)technology
air quality
monitoring system
sensor
partial least squares regression analysis
