多传感器长途客车智能新风系统设计研究

本研究设计了一种结合二氧化碳传感器、PM2.5粉尘传感器、TVOC传感器来实现智能更新长途客车封闭空间内污浊空气的长途客车车载新风系统。本系统由各项传感器实时采集车厢内CO2、PM2.5、TVOC等数据上传至单片机,单片机判断各项数据是否超过设定阈值,若超过设定阈值,新风系统自动工作改变进、排风量;反之,新风系统不工作,实现智能控制。实验证明,本系统具有明显地改善长途客车内空气质量的效果,能够更好地保护人体健康。

Research on the Design of the Intelligent Coach Fresh Air System Based on Multi-Sensor

A vehicle-borne fresh air system for long-distance passenger cars is designed by combining carbon dioxide sensor,PM2.5 dust sensor and TVOC sensor,which can realize the intelligent update of dirty air in closed space of long-distance passenger cars.In this system,CO2,PM2.5,TVOC and other data in the car are collected in real time by various sensors and uploaded to the single chip microcomputer.The single-chip microcomputer judges whether the data exceeds the set threshold value.If it exceeds the set threshold value,the fresh air system will automatically work to change the air intake and exhaust volume.On the contrary,the fresh air system does not work,thus to realize intelligent control.The experimental results show that the system can improve the air quality in coach obviously,and it can better protect human health.