Automobile exhaust gas detection based on fuzzy temperature compensation system

Authors:
Zhiyong Wang;Hao Ding;Fufei Hao;Zhaoxia Wang;Zhen Sun;Shujin Li
Affiliations:
Tianjin Key Laboratory of Film Electronic and Communication Device, Tianjin University of Technology, Tianjin, P.R. China;College of Precision Instrument and Opto-Electronics Engineering, Tianjin University, Tianjin, P.R. China;Tianjin Public Security Bureau, Tianjin, China;Department of Electrical & Computer Engineering, National University of Singapore;Tianjin Key Laboratory of Film Electronic and Communication Device, Tianjin University of Technology, Tianjin, P.R. China;Tianjin Key Laboratory of Film Electronic and Communication Device, Tianjin University of Technology, Tianjin, P.R. China
Venue:
AICI'10 Proceedings of the 2010 international conference on Artificial intelligence and computational intelligence: Part I
Year:
2010

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Abstract

A temperature compensation scheme of detecting automobile exhaust gas based on fuzzy logic inference is presented in this paper. The principles of the infrared automobile exhaust gas analyzer and the influence of the environmental temperature on analyzer are discussed. A fuzzy inference system is designed to improve the measurement accuracy of the measurement equipment by reducing the measurement errors caused by environmental temperature. The case studies demonstrate the effectiveness of the proposed method. The fuzzy compensation scheme is promising as demonstrated by the simulation results in this paper.