摘要
研究酒驾准确检测问题。车辆中驾驶员的同行人员喝酒,将造成酒精散发到空气中,导致酒精浓度信号发生扩散,使得检测信号混乱。传统算法是根据酒精浓度信号进行酒驾检测的,一旦同行人员饮酒,造成检测信号混乱的缺陷,将导致酒驾检测准确率降低。因此,提出了一种用物联网配合支持向量机算法的酒驾自动检测方式。建立物联网传感器,提取物联网酒精浓度信号,并对信号进行增强处理,通过支持向量机方法对酒精浓度信号进行分类处理,从而实现不同人员的酒精检测。克服了传统算法的缺陷。实验结果表明,这种算法提高了酒驾检测的准确率。
The accurate detection of drunk driving. In the vehicle drivers aboard the drink, will cause alcohol sent into the air, .the lead to alcohol concentration signal producing diffusion and the measuring signal chaos. The traditional algorithm is based on alcohol concentration signal detection of drunk driving, once aboard the drinking, the cause of the defects detection signal chaos, will lead to drunk driving detection accuracy reduced. Therefore, put forward based on the eontent with the algorithm Of support vector machine network of drunk driving automatic testing method. Building .up matter networking sensor network, extract networking alcohol concentration signal, and the signal enhancement processing, through the support vector machine （SVM） method to alcohol eoncentration signal classifieation processing, thus realize the different personnel alcohol deteetion. To overcome the defects of the traditional algorithm. The experimental results show that the algorithm enhances the accuracy of drunk driving test.
出处
《计算机仿真》
CSCD
北大核心
2013年第2期144-147,共4页
Computer Simulation
关键词
酒驾检测
物联网
酒精浓度信号
Drunk driving detection
Content networking
Alcohol concentration signal
