基于PQCR-PSL传感器的路面坑洼检测设计  

Design of road potholes detection based on PQCR-PSL

作　　者：张子茹 陈向东[1] 丁星[1] ZHANG Zi-ru;CHEN Xiang-dong;DING Xing(School of Information Science &Technology,Southwest Jiaotong University,Chengdu 611756,China)

机构地区：[1]西南交通大学信息科学与技术学院

出　　处：《电子设计工程》2019年第19期90-94,共5页Electronic Design Engineering

摘　　要：破损坑洼的道路给城市交通带来诸多危害,目前道路日常维护主要通过专用设备车进行人工检测或半自动化检测,需要投入大量人力及时间资源。现提出一种基于PQCR-PSL传感器检测坑洼路面的设计,将压电式石英晶体谐振器(PQCR)与平面螺旋电感(PSL)串联作为传感器探头固定在车辆上,通过感测车辆行驶在平整路面及坑洼路面产生的不同振动情况来反映道路坑洼。系统包括在FPGA上实现双路等精度测频模块以提高传感器信号的连续测频速度、经验模态分解(EMD)对振动信号进行去噪处理、连续属性朴素贝叶斯分类器将坑洼与平整路面分类,实现对坑洼路面的检测。Thedamaged roads bring a lot of harm to urban traffic.At present,the daily maintenance of roads is mainly carried out by manual testing or semi- automatic testing using special equipment vehicles,which requires a lot of manpower and time resources.A design based on PQCR-PSL sensor for detecting pitted road surface is proposed.A piezoelectric quartz crystal resonator(PQCR)and a planar spiral inductor(PSL)are connected in series as a sensor probe fixed on the vehicle,and the road pothole is reflected by sensing different vibration generated by the vehicle running on the level road surface or the pit road surface.The system includes two- way equal- precision frequency measurement module on the FPGA to improve the continuous frequency measurement speed of the sensor signal,empirical mode decomposition (EMD) to denoise the vibration signal, and using continuous attribute Bayesian classifierto classify the pothole and flat road surface. Achieving the detection of pavement roads.

关 键 词：道路检测 石英晶振 螺旋电感 双路等精度测频 经验模态分解 贝叶斯分类器 

分 类 号：TN98[电子电信—信息与通信工程]