CAJ | 학술논문

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。
위료제고무매배경하인체가흡입과립검측적효솔화은정도，제출료기우물련망적무매배경하인체가흡입과립검측모형，해모형주요포괄전감기검측모괴、로유기전수모괴、수거회총모괴이급상위궤모괴，전감기검측모괴검측무매배경하적인체가흡입과립PM2.5농도신식，인입일충인체폐부PM2.5농도검측고계모형，고산무매배경하인체가흡입과립PM2.5적농도，실현인체가흡인과립PM2.5적준학검측。실험결과설명，상비유선망락인체가흡입과립검측모형，소제모형적검측효솔、정도교고，병차구유교고적로봉성。
In order to improve the haze of human inhalable particles detection environment efficiency and stability, is proposed based on the Internet of things the haze of environment human inhalable particles detection 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 of the human body can be inhaled particles PM2.5 concentration information, introducing a human lung PM2.5 concentration measurement estimation model, estimate the haze environment the human body the concentration of inhalable particles PM2.5, realize the human body can absorb particles PM2.5 accurate detection. Experimental results show that, compared to a wired network model human inhalable particle detection, the detection efficiency of the proposed model, high precision, and has high robustness.