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作 者:李靖 郑建校[2] LI Jing;ZHENG Jianxiao(College of Transportation,Shaanxi Institute of Mechatronic Technology,Baoji Shaanxi 721001,China;School of Mechanical and Electrical Engineering,Xi'an University of Architecture and Technology,Xi'an Shaanxi 710054,China)
机构地区:[1]陕西机电职业技术学院交通运输学院,陕西宝鸡721001 [2]西安建筑科技大学机电工程学院,陕西西安710054
出 处:《传感技术学报》2025年第2期316-321,共6页Chinese Journal of Sensors and Actuators
基 金:陕西省职教学会2022年度教育教学改革研究课题项目(2022SZX451);2021年度陕西高等职业教育教学改革研究项目(21GY019)。
摘 要:为提高汽车运行稳定性与驾驶安全性,提出基于磁吸附式传感器的汽车轮胎双轴转向磨损检测方法。将磁吸附式传感器固定于轮胎与双轴连接处,采集汽车轮胎与地面附着系数;并利用磁场轮廓提取算法,提取磁场的轮廓或边界信息。再通过磁力计测量磁场强度,并将数据传输给计算机对轮胎与地面摩擦接触面进行扫描,生成轮胎磨损图像。利用高斯函数抑制汽车轮胎图像噪声,采用改进阈值法提取图像中轮胎的磨损特征;运用反向传播神经网络创建汽车轮胎双轴转向磨损检测模型,通过求解模型,输出磨损检测结果。仿真结果表明,所提方法磨损误检率较小,最大误检率为1.3%;检测时间低于0.36 s;IoU值最高为98%,可以实现高质量的汽车轮胎双轴转向磨损检测。To improve the stability and driving safety of automobiles,a dual axle steering wear detection method for automotive tires based on magnetic adsorption sensors is proposed.The magnetic adsorption sensor is fixed at the connection location between the tire and the dual axle to collect the adhesion coefficient between the car tire and the ground,and the magnetic field contour extraction algo-rithm is used to extract the contour or boundary information of the magnetic field.Then,the magnetic field strength is measured using a magnetometer and the data are transmitted to a computer to scan the friction contact surface between the tire and the ground,generating tire wear images.The improved threshold method is used to extract the tire wear characteristics in the image to show the tread details.A dual axle steering wear detection model is created for automotive tires using backpropagation neural networks,and wear detection re-sults are outputed by solving the model.The simulation results show that the proposed method has a relatively low wear error detection rate,with a maximum error detection rate of 1.3%.The detection time is less than 0.36 s,and the highest IoU value is 98%,achieving high-quality dual axle steering wear detection of automotive tires.
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