基于电感线圈的车辆检测器系统设计

发布时间：2018-03-06 15:08

本文选题：车辆检测器　切入点：电感线圈　出处：《重庆大学》2014年硕士论文　论文类型：学位论文

【摘要】：随着现代交通的快速发展，人们对道路交通信息的需求越来越多。智能交通系统(ITS)就是解决城市交通问题的手段之一。智能交通系统是将先进的信息技术、数据通讯技术、电子传感技术、电子控制技术以及计算机处理技术有效地集成运用于整个交通运输管理体系，以缓和道路堵塞和减少交通事故、给道路使用者带来方便、舒适为目的，，代表着未来道路交通发展的方向。本文着重研究了智能交通系统中的车辆检测技术，设计了一种基于电感线圈的车辆检测器。该检测器可以对车辆通过线圈时检测电路所产生的振荡频率进行数据采集和特征分析，完成车型分类，可实现对道路通行车辆的分类统计。由于它具有低成本、高精度、适应全天候工作等优点，使其成为目前应用比较广泛的检测器之一。首先，本文阐述了电感线圈的工作原理和电感线圈采集的理论模型，并且通过实际应用进一步验证了此模型的可行性。由于外部环境要求系统能够快速且准确地测量出车辆的信息，为此，作者采用基于ARM CORTEX M3内核的微处理器STM32F103R8T6组成系统的处理单元，利用Protel完成车辆检测系统的硬件电路及电路图的设计，并对系统组成及振荡及整形电路、电源电路、通信电路等模块的功能和结构进行了说明。在硬件设计的基础上，对车辆检测器的软件部分进行了设计。采用了基准频率自动刷新算法的车辆检测器设计方案，保证了检测的精度。最后，论文采用模式识别方法，根据车型数据采集，采样波形特征提取和车型模式匹配技术，确定行驶车辆的车型信息。与传统的检测器相比，提高了系统在恶劣工作环境下的稳定性，提高了检测精度。本系统是基于ARM微处理器和基准频率刷新算法开发的电感线圈车辆检测器，有效地提高了采集信息的精度和抗干扰性能，为进一步应用于实际打下了良好的基础。
[Abstract]:With the rapid development of modern traffic, people need more and more road traffic information. Intelligent Transportation system (ITS) is one of the ways to solve urban traffic problems. Intelligent Transportation system (its) is an advanced information technology, data communication technology, Electronic sensing technology, electronic control technology and computer processing technology are effectively integrated into the whole transportation management system to ease road congestion and reduce traffic accidents and bring convenience and comfort to road users. Represents the future direction of road traffic development. This paper focuses on the research of vehicle detection technology in intelligent transportation system. A vehicle detector based on inductance coil is designed, which can collect the data and analyze the characteristics of the oscillation frequency generated by the detecting circuit when the vehicle passes through the coil. Because of its advantages of low cost, high precision and all-weather operation, it has become one of the most widely used detectors. Firstly, the working principle of inductance coil and the theoretical model of inductance coil acquisition are described. The feasibility of the model is further verified by practical application. Because the external environment requires the system to measure the information of the vehicle quickly and accurately, so, The processor STM32F103R8T6 based on ARM CORTEX M3 core is used to form the processing unit of the system, and the hardware circuit and circuit diagram of the vehicle detection system are designed by Protel. The system composition, oscillation and shaping circuit, power supply circuit are also discussed. The function and structure of communication circuit and other modules are explained. Based on the hardware design, the software part of the vehicle detector is designed. The design scheme of the vehicle detector based on the automatic refresh algorithm of the reference frequency is adopted. Finally, the paper adopts the pattern recognition method, according to the data collection, sampling waveform feature extraction and vehicle pattern matching technology, to determine the vehicle model information. Compared with the traditional detector, The stability of the system under the bad working environment is improved, and the detection accuracy is improved. This system is an inductance coil vehicle detector based on ARM microprocessor and reference frequency refresh algorithm. It can effectively improve the accuracy and anti-interference performance of information collection and lay a good foundation for further application in practice.
【学位授予单位】：重庆大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：U495;TP274

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