电子测量与仪器学报

任彬,潘韫杰.智能车间操作人员脑力负荷实验的主观评测法研究[J].电子测量与仪器学报,2021,35(5):83-90

智能车间操作人员脑力负荷实验的主观评测法研究

Research on subjective evaluation method aimed at brainload experiment of smart workshop operators

DOI：

英文关键词:mental workload NC lathe smart workshop PAAS scale WP scale

基金项目:国家重点研发计划(2018YFB1309200)、国家自然科学基金面上项目（51775325）、东方学者计划项目（QD2016033）资助

作者	单位
任彬	1.上海大学机电工程与自动化学院上海市智能制造及机器人重点实验室
潘韫杰	1.上海大学机电工程与自动化学院上海市智能制造及机器人重点实验室

Author	Institution
Ren Bin	1.Shanghai Key Laboratory of Intelligent Manufacturing and Robotics, School of Mechatronic Engineering and Automation, Shanghai University
Pan Yunjie	1.Shanghai Key Laboratory of Intelligent Manufacturing and Robotics, School of Mechatronic Engineering and Automation, Shanghai University

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中文摘要:

针对制造业车间工人由于脑力负荷过重,引发工作失误,影响进程效率的问题,提出脑力负荷评测方法,以降低车间工人的工伤风险,提升车间工人操作的正确性与准确率。设计了 20 个事件的两组实验,将 PAAS 量表、WP 量表测得的脑力负荷结果值作为因变量,通过数控车床编程软件,模拟数控车床编程员的工作内容,对 PAAS 量表与 WP 量表在智能车间的有效性进行研究。实验结果表明,PAAS 量表在敏感性方面的好于 WP 量表,其 F 值高于 WP 量表 7. 494。在聚合效度方面,两种量表都表现良好。得出结论,PAAS 量表适用于智能车间数控车床操作人员的脑力负荷评测,与此同时,WP 量表的多维度特性可清晰地指出被实验对象脑力负荷的影响因素。

英文摘要:

Aiming at the problem that the mental workload of the workers in the manufacturing workshop is too heavy, causing errors and affecting the efficiency of the process, a mental workload evaluation method is proposed to reduce the risk of workplace injuries and improve the accuracy of operations in the workshop. Design two sets of experiments of 20 events, take the mental load results measured by the PAAS scale and WP scale as the dependent variable, through the NC lathe programming software, simulate the work content of the NC lathe programmer, and compare the PAAS scale and the WP scale. The effectiveness of the table used in the intelligent manufacturing CNC workshop is studied. The experimental result is that the sensitivity of PAAS scale is better than WP scale, and its F value is higher than WP scale 7. 494. In terms of aggregation validity, both scales performed well. It is concluded that the PAAS scale is suitable for the evaluation of the mental workload of the CNC lathe operators in the intelligent workshop. At the same time, the multidimensional characteristics of the WP scale can clearly indicate the influencing factors of the subject’s mental workload.

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