基于数据融合的车内空气质量控制系统的研究

随着轿车逐渐步人家庭，车内空气质量正成为人们关注的焦点。车内空气污染主要由车外环境中的污染物、汽车零部件及车内装饰材料所释放的有害物质和汽车自身排放物进入车内而引起，而车辆处于运动状态下的车内空气质量主要取决于车外的驾驶环境和车辆的通风模式。由于车外环境中污染物的种类和浓度非常复杂，难以用单一的传感器进行测量和评价。该文优选气体传感器组成传感器阵列，采用数据融合技术，针对车外环境中对人体毒害最大的3种气体CO、NO2和CH4，设计了车内空气质量控制系统。该系统能根据车外3种气体的污染程度自动控制车辆的通风模式，提高车内空气质量，为驾乘人员营造一个健康、舒适的车内环境。

Study of Air Quality Control System in the Vehicle Based on Data Fusion

The air quality in the vehicle is becoming the focus when the car gets into the family gradually. The air pollution in cabin is mostly caused by the pollutants outside environment, the deleterious gases which are emitted by the automobile spare parts and decorations,and the automobile own emission entered into the cabin. However,during a vehicle moving,the air quality in it mainly lies on its outside environment and its ventilated pattern. It is difficult to be measured and estimated by only one single sensor because of its complex pollution kinds and degrees. Aimed at CO, NO2 and CH4,three kinds of the most terrible gases in traffic environment,the air quality control system was designed by using optimal gas sensors array and data fusion. The system improves air quality in cabin by controlling its ventilated pattern according to the degree of pollutants to provide a healthy and comfortable room for the driver and occupants of the vehicle.