基于司机行为的露天矿道路状况在线评估技术研究  

Online evaluation method for open-pit mine road conditions based on driver behavior

作　　者：田凤亮 TIAN Fengliang(CCTEG Shenyang Engineering Company,Shenyang 110015,China)

机构地区：[1]中煤科工集团沈阳设计研究院有限公司,辽宁沈阳110015

出　　处：《有色设备》2024年第6期58-62,68,共6页Nonferrous Metallurgical Equipment

基　　金：国家重点研发计划(2023YFF1306001);中国煤炭科工集团有限公司科技创新创业资金专项项目(2024-MS007);中煤科工集团沈阳设计研究院有限公司科技创新项目(NKJ014-2023)。

摘　　要：针对露天矿道路状况测量困难的问题,本文提出了一种基于司机行为的露天矿道路状况在线评估方法。该方法以路况恶劣程度与司机操作频繁程度呈正相关为基本假设,以司机驾驶过程中CAN总线上加速/制动踏板的输入为基础数据,司机常规操作的高振幅、低频率数据信号采用快速傅立叶变换,可实现对数据特征的提取和过滤。针对过滤后的特征数据结果,通过位置信息匹配卡车在露天矿对应道路的控制功率,形成司机对该路段上驾驶难易程度的个体认知指标。为降低评估过程中的偶然性,采用贝叶斯评分法获得道路状况的综合评分。现场研究表明,路况越差则司机操作越频繁的基本假设是合理的,基于司机行为的道路状况在线评估算法是有效的。Addressing the challenge of measuring road conditions in open-pit mines,an online evaluation method for mine road conditions based on driver behavior has been proposed.This method is fundamentally based on the assumption that poorer road conditions lead to more frequent driver operations.It uses input from the accelerator and brake pedals during driving as basic data.Given the characteristics of high amplitude and low frequency in drivers'routine operation signals,the Fast Fourier Transform is employed to filter out these routine operations.Based on the filtered results,the driver's control power is used to represent the difficulty of driving on a particular road segment,forming an individual perception of the road by the driver.To reduce the randomness in the evaluation process,the Bayesian scoring method is adopted to obtain a comprehensive score for the road.Field studies have shown that the basic assumption that poorer road conditions result in more frequent driver operations is reasonable,and the online evaluation algorithm for road conditions based on driver behavior is effective.

关 键 词：露天矿 道路状况 司机行为 快速傅立叶变换 在线评估 

分 类 号：TD824[矿业工程—煤矿开采]