CAJ | 학술논문

为了提高车流量检测器的精度，通过现场采样大量实验数据，建立车辆通过感应线圈时频率变化曲线的数学模型。采用小波变换对频率变化曲线的突变点进行分析，得到车流量检测的新方法。这种方法不但能有效的提高车流量的检测精度，而且为进一步通过车流量检测器实现对各种车型进行预分类提供了新的思路，具有相当的研究价值。分析过程中还对利用小波变换分析信号突变点的理论依据进行了描述，并介绍了小波基的选择方法。
위료제고차류량검측기적정도，통과현장채양대량실험수거，건립차량통과감응선권시빈솔변화곡선적수학모형。채용소파변환대빈솔변화곡선적돌변점진행분석，득도차류량검측적신방법。저충방법불단능유효적제고차류량적검측정도，이차위진일보통과차류량검측기실현대각충차형진행예분류제공료신적사로，구유상당적연구개치。분석과정중환대이용소파변환분석신호돌변점적이론의거진행료묘술，병개소료소파기적선택방법。
In order to improve the detection accuracy of vehicle-flow detector, the mathematical model of frequency variation curve is established when vehicles passed a induction coil through sampling a large number of experimental data. A new method is gotten by analyzed the signal mutation detection of frequency variation curve base on wavelet transform. This method not only can effectively improve the detection accuracy of the vehicle-flow detectors, but also provided a new idea to carry on the preliminary classification of vehicles with the vehicle-flow detector. Furthermore, the theoretical foundation of signal mutation detection based on wavelet transform is described, and introduced the selection method of wavelet basis.