摘要
针对驾驶员上车过程容易引起肌肉疲劳和损伤的问题,提出了通过肌电实验测试表面肌电信号判断驾驶员疲劳的方法。选取上车方向(D1、D2、D3)、左手抓握位置(G1、G2、G3、G4、G5)、腿部上车次序(L1、L2)为实验变量,采集10名被试者在30组变量组合下每次上车过程中16块肌肉的肌电信号,通过疲劳度量分析不同姿势下驾驶员的疲劳程度,获得最优上车姿势。结果表明:采用正向上车(D2)、左手抓握位置G2、腿部上车次序左腿(L1)的姿势不易产生疲劳;并且攀爬中胸大肌和腓肠肌容易产生疲劳。该研究为挖掘机的尺寸优化和驾驶员的职业健康提供了实验方法和数据参考。
Aiming at the problem of fatigue and injury caused by driver getting on the bus,a method of judging driver fatigue by surface electromyography test was proposed.First,the boarding direction(D1,D2,D3),left hand grip position(G1,G2,G3,G4,G5),and leg boarding order(L1,L2)were selected as experimental variables.The EMG signals of 16 muscles of 10 subjects were collected under 30 groups of variable combinations during each boarding process,and the fatigue degree of drivers under different posture was analyzed by fatigue measurement.Get the optimal boarding position.The results showed that the climbing posture of the left leg was not easy to produce fatigue,and the climbing posture of the pectoral-major muscle and the gastrocnemius muscle was easy to produce fatigue.This study provides experimental methods and data reference for size optimization of excavators and occupational health of drivers.
作者
白伟
辛运胜
潘深圳
董青
张倩
苏妮娜
BAI Wei;XIN Yunsheng;PAN Shenzhen;DONG Qing;ZHANG Qian;SU Nina(School of Mechanical Engineering,Taiyuan University of Science and Technology,Taiyuan 030024,China;Taiyuan Mining Machinery Electric Co.,Ltd.,Taiyuan 030024,China;School of Economics and Management,Taiyuan University of Science and Technology,Taiyuan 030024,China)
出处
《机械工程与自动化》
2025年第1期7-9,共3页
Mechanical Engineering & Automation
基金
山西省科技重大专项项目(20181102002)
山西省应用基础研究计划(201901D211288)
山西省高等教育科技创新项目(2019L0649)
太原科技大学博士科研基金(W20222006)
山西省研究生优秀创新项目(2021Y694)。
关键词
挖掘机驾驶员
肌肉疲劳
表面肌电信号
时域分析
频域分析
excavator operator
muscle fatigue
surface electromyography signal
time domain analysis
frequency domain analysis
作者简介
白伟(1998-),男,山西吕梁人,在读硕士研究生,主要研究方向:工程机械与车辆工业设计及人机工程技术;通信作者:辛运胜,邮箱:xin_yunsheng@tyust.edu.cn。
