雾霾环境下人体可吸入颗粒智能检测系统设计

Haze Environment Human Inhalable Particles Intelligent Detection Method Research

为了提高雾霾环境下人体可吸入颗粒检测的效率和稳定度,提出了基于物联网的雾霾环境下人体可吸入颗粒检测模型,该模型主要包括传感器检测模块、路由器传输模块、数据汇总模块以及上位机模块,传感器检测模块检测雾霾环境下的人体可吸入颗粒PM2.5浓度信息,引入一种人体肺部PM2.5浓度检测估计模型,估算雾霾环境下人体可吸入颗粒PM2.5的浓度,实现人体可吸人颗粒PM2.5的准确检测。实验结果说明,相比有线网络人体可吸入颗粒检测模型,所提模型的检测效率、精度较高,并且具有较高的鲁棒性。

In order to improve the haze of human inhalable particles detection environment efficiency andstability, is proposed based on the Internet of things the haze of environment human inhalable particlesdetection model, this model mainly includes the sensor detection module, a router transmission module,data collect module and upper desktop module, sensor detection module haze under the environment ofthe human body can be inhaled particles PM2.5 concentration information, introducing a human lungPM2.5 concentration measurement estimation model, estimate the haze environment the human body theconcentration of inhalable particles PM2.5, realize the human body can absorb particles PM2.5 accuratedetection. Experimental results show that, compared to a wired network model human inhalable particledetection, the detection efficiency of the proposed model, high precision, and has high robustness.