Ergonomic Reliability Assessment of VDT Systemfor Operation Design Based on Improved BPNN and HCR under Special Circumstances  

作　　者：Xin Liu Zheng Liu Zhilin Huang Mingyu Ling Kangchao Lin Pengqing Chen Xiaomin Huang Yujia Zhai 

机构地区：[1]Institute of Industrial Design,Guangzhou University,Guangzhou,510006,China [2]School of Mechanical and Electrical Engineering,Guangzhou University,Guangzhou,510006,China

出　　处：《Computer Modeling in Engineering & Sciences》2023年第7期685-707,共23页工程与科学中的计算机建模（英文）

基　　金：supported by National Natural Science Foundation of China (No.51905116);Basic and Applied Basic Research Foundation of Guangdong Province (Item No.2020A1515111141);The 13th Five-Year Plan Youth Project of Philosophy and Social Science of Guangdong Province (GD20YYS03);Science and Technology Program of Guangzhou (No.201904010463);Youth Innovative Talent Projects from Ordinary University of Guangdong Province (2019WQNCX099);Innovation Training Program for College Students in Guangdong Province (S202111078058).

摘　　要：Ergonomic reliability plays a significant role in the safe operation of devices.With the spread of infectious diseases around the world,in work environments with high loads and high infection rates,medical staff work in a state of high self-protection.The use of visual display terminal(VDT)for medical equipment has undergone fundamental changes,and the traditional medical equipment human-machine interface design needs to be improved.After the completion of design and development,a VDT design enters the experimental testing stage,which has significant limitations for simulating the work of medical staff in the high-load and high-infection environments.The testing cost is high,and subjects face harsh conditions;thus,an ergonomic reliability model that can predict the use of VDT in such special high-infection and high-load circumstances must be established.An ergonomic reliability model based on an improved backpropagation neural network(BPNN)and human cognition reliability(HCR)is proposed for predicting and evaluating operation flows according tomedical equipment VDTs.Firstly,a small data sample can be used to train BPNN to generate a network that can ensure suitable accuracy.To prevent the model from falling into local optimal solutions,the bat algorithm is introduced to improve the BPNN.Compared to a traditional BPNN,the superiority of the improved BPNN is clearly demonstrated.Secondly,the HCR method is used to analyze and highlight changes in the human factor reliability of VDTs for medical equipment in different time processes and operating processes according to BPNN prediction results,to provide a reference for selecting the optimalmethod.Finally,the validity and availability of the proposedmethod are verified through an eye tracker experiment and statistical analysis results.

关 键 词：Ergonomic reliability BPNN HCR operation design VDT HMI 

分 类 号：TP393.08[自动化与计算机技术—计算机应用技术]