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

Xin Liu1, Zheng Liu2,*, Zhilin Huang1, Mingyu Ling1, Kangchao Lin1, Pengqing Chen1, Xiaomin Huang1, Yujia Zhai1

1 Institute of Industrial Design, Guangzhou University, Guangzhou, 510006, China
2 School of Mechanical and Electrical Engineering, Guangzhou University, Guangzhou, 510006, China

* Corresponding Author: Zheng Liu. Email: email

(This article belongs to the Special Issue: Computer-Aided Structural Integrity and Safety Assessment)

Computer Modeling in Engineering & Sciences 2023, 136(1), 685-707. https://doi.org/10.32604/cmes.2023.025058

Abstract

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 to medical 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 optimal method. Finally, the validity and availability of the proposed method are verified through an eye tracker experiment and statistical analysis results.

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Cite This Article

APA Style
Liu, X., Liu, Z., Huang, Z., Ling, M., Lin, K. et al. (2023). Ergonomic reliability assessment of VDT system for operation design based on improved BPNN and HCR under special circumstances. Computer Modeling in Engineering & Sciences, 136(1), 685-707. https://doi.org/10.32604/cmes.2023.025058
Vancouver Style
Liu X, Liu Z, Huang Z, Ling M, Lin K, Chen P, et al. Ergonomic reliability assessment of VDT system for operation design based on improved BPNN and HCR under special circumstances. Comput Model Eng Sci. 2023;136(1):685-707 https://doi.org/10.32604/cmes.2023.025058
IEEE Style
X. Liu et al., "Ergonomic Reliability Assessment of VDT System for Operation Design Based on Improved BPNN and HCR under Special Circumstances," Comput. Model. Eng. Sci., vol. 136, no. 1, pp. 685-707. 2023. https://doi.org/10.32604/cmes.2023.025058



cc This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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