摘要
文中面向长久手过头作业,利用基于表面肌电信号的生理数据指征数据、基于卷积姿态机识别算法与快速上肢评估方法(Rapid Upper Limb Assessment,RULA)的关节姿态数据指征数据和基于Borg量表的主观评价数据指征数据,提取综合人机工效评估指标,并构建基于相关性分析赋权的综合人机工效评估模型。同时,基于操作中每个动素的疲劳积累原理,构建基于卷积神经网络和Transformer模型的综合人机工效预测模型。最后以某型车载天线阵面盖板拆装任务为验证对象,融合上述方法开发工效评估软件进行综合人机工效评分快速计算,证明了所提评估模型的可用性。
Aiming at long-term overhead work,comprehensive ergonomic evaluation indicators are extracted and a comprehensive ergonomic evaluation model empowered by correlation analysis is constructed by using physiological indication data based on surface electromyography(SEMG)signal,joint pose indication data based on convolutional pose machine recognition algorithm and rapid upper limb assessment method(RULA)and subjective evaluation indication data based on Borg scale in this paper.Meanwhile,based on the fatigue accumulation principle of each element during operation,a comprehensive ergonomic prediction model based on convolutional neural network and Transformer model is constructed.Finally,taking the disassembly task of a certain type of vehicle-borne antenna array cover plate as the verification objects,the ergonomic evaluation software is developed by integrating the above methods to quickly calculate the comprehensive ergonomic score,which proves the usability of the evaluation model proposed in this paper.
作者
范昱
韩钟剑
杨延璞
张慧忠
刘永华
FAN Yu;HAN Zhongjian;YANG Yanpu;ZHANG Huizhong;LIU Yonghua(High-end Electronic Equipment Industrial Design Center of the 20th Research Institute of CETC,Xi’an 710068,China;Chang’an University,Xi’an 710064,China;Northwestern Polytechnical University,Xi’an 710072,China)
出处
《电子机械工程》
2025年第1期40-45,共6页
Electro-Mechanical Engineering
基金
国家部委基金项目(2021-JCJQ-JJ-1018)。
关键词
长久手过头作业
人机工效评估
人机工效预测
疲劳指标
long-term overhead and upper limb operation
ergonomic evaluation
ergonomic prediction
fatigue index
作者简介
范昱,女,1995年生,工程师,主要从事结构设计、工业设计、人机工程设计等工作;韩钟剑,男,1985年生,高级工程师,主要从事结构设计及仿真、热控技术研究等工作;杨延璞,男,1984年生,教授,主要从事工业设计、人机工效等研究工作;张慧忠,男,1984年生,助理教授,主要从事工业设计、产品创新设计等工作;刘永华,男,2000年生,硕士研究生,主要从事人机工效、神经网络模型设计等工作。
