基于模糊推理原则的车载多传感器全方位酒精检测系统

Vehicle-Mounted Alcohol Test System Based on Multi-Sensor Data Fusion and Fuzzy Logic Reasoning

针对当前车载酒精检测系统信息采集单一化、模式化以及误差过大的问题,根据酒精测量信号的特点,采用传感、信号处理和模式识别等技术,以51系列单片机为核心,进行了车载酒精测试系统设计.该系统基础功能为判断驾驶员是否饮酒以及饮酒程度,其次能辅助做出相应的有益反应,系统旨在防止酒驾事故的发生.系统采用多传感器进行不同形式的全方位的信息采集,运用模糊推理原则进行编程实现数据的统一处理,对现有的车载酒精检测系统进行了改进,使车载酒精检测系统的判断准确性得以显著提高.对比分析表明:采用多传感器进行信息采集的酒精检测系统能有效提高实时判断的准确性,并能为辅助驾驶提供预判信息.

In view of the problems of single mode, modelization and great errors in the current vehicle-mount- ed alcohol detecting system for information collection, focusing on characteristics of various alcohol signals, depending on the sensor, signal processing and pattern recognition technology, with 51 series microcontroller as the core, vehicle-mounted alcohol test system was designed. Basic functions of the system was to judge whether the driver drank and drinking degree, which was beneficial to causing good reactions and preventing drunk driving accident. Designed system was based on multiple sensors of different forms of comprehensive information collection, realizing unified data treatment with fuzzy inference principle and improving vehicle alcohol detecting system, so as to significantly improve the accuracy of vehicle-mounted alcohol detecting system. The results show that, alcohol detection system with multiple sensors information acquisition can effectively improve the accuracy of real-time judgment and provide pre-judgment information for driving assistance.