An air quality sensor system with a momentum back propagation neural network

被引:0
作者
Chung, Wan-Young [1 ]
Lee, Seung-Chul
机构
[1] Dongseo Univ, Div Comp & Informat Engn, Pusan 617716, South Korea
[2] Dongseo Univ, Grad Sch Software, Pusan 617716, South Korea
关键词
air quality sensor; automobile sensor; gas sensor; back propagation neural network;
D O I
暂无
中图分类号
O4 [物理学];
学科分类号
0702 ;
摘要
An Air Quality Sensor (AQS), located near a fresh air inlet, serves to reduce the amount of pollution entering a vehicle cabin through the HVAC (heating, ventilating, and air conditioning) system by sending a signal to close the fresh air inlet door/ventilation flap when the vehicle enters a high-pollution area. One chip sensor module, which included a dual gas sensor, humidity sensor and temperature sensor, was developed for an AQS system in automobile. The dual gas sensor combined a reducing gas-sensing element with an oxidizing gas-sensing element on the same substrate to detect toxic oxidizing gases and reducing gases simultaneously. With this sensor module, a PIC (Peripheral Interface Controller) microcontroller was designed with a back propagation neural network to reduce the detection error when the motor vehicles pass through an area with a complicated mixture of gases. The signal from the neural network was modified to give a control signal for the inlet of automobile and to display the outdoor gas environment on the driver's panel or to alert the driver of the dangerous situation.
引用
收藏
页码:1087 / 1091
页数:5
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