CAJ | 학술논문

当前物流区的车辆依据感应线圈的车型识别方法会受到光影、振动等外部因素的干扰，不能进行准确的识别，主要因为当前的技术都是以信噪比为基础，以过滤的思想去除干扰，效果不佳。提出了一种基于隔离思想的车型识别方法，采用RFID技术获取进入物流园区的车型信号后，应对车型信号进行隔离分类，这种隔离与传统的分类不同，是一种无监督分类过程，依据信号幅度的排列情况分析车型信号的波峰最大值，对获取的不同车型信号曲线的波峰极大值进行隔离，完成判断。实验结果说明该种方法的识别时间以及识别率优于传统方法，在不同的光影干扰环境下具有较强的车型识别性能。
당전물류구적차량의거감응선권적차형식별방법회수도광영、진동등외부인소적간우，불능진행준학적식별，주요인위당전적기술도시이신조비위기출，이과려적사상거제간우，효과불가。제출료일충기우격리사상적차형식별방법，채용RFID기술획취진입물류완구적차형신호후，응대차형신호진행격리분류，저충격리여전통적분류불동，시일충무감독분류과정，의거신호폭도적배렬정황분석차형신호적파봉최대치，대획취적불동차형신호곡선적파봉겁대치진행격리，완성판단。실험결과설명해충방법적식별시간이급식별솔우우전통방법，재불동적광영간우배경하구유교강적차형식별성능。
The current vehicle logistics area based on model identification method of induction coil, the moderating effect of external factors such as light, vibration, cannot accurately identify, mainly because of the current technology is based on sig-nal to noise ratio, to the ideas of the filter to remove interference, the effect not beautiful. Puts forward a kind of vehicle rec-ognition method based on isolated ideas, using RFID technology into the logistics park for signal models, models signal iso-lation classification, this isolation is different from the traditional classification, is a kind of unsupervised classification pro-cess, according to the arrangement of signal amplitude signal wave maximum situation analysis models, to obtain the curve of different models of signal wave crest value in isolation, upon completion of judgment. Experimental results show that the recognition time and recognition rate of this kind of new method is superior to the traditional method, light interference in different environment with strong vehicle recognition performance.