Human error is an essential factor that affects the quality and safety of industrial production. To deeply understand the human factors that cause failures in an organization from the perspective of maintenance personnel, we propose an analytical approach combined with Fault Tree Analysis and qualitative analysis and apply this approach to maintenance task failure incidents. These proposed methods are based on human factor classification and the Human Factors Analysis and Classification System. We conduct a case study to prove the effectiveness of applying our approach to the Chinese manufacturing industry. Results enabled the disclosure of the “latent factors” of maintenance incidents, helped improve human error analysis in maintenance incidents and helped to understand the fundamental reasons that affect work reliability and cause maintenance failures. This case study focuses on the impact of critical human factors on organizational effectiveness and operational reliability during maintenance activities.

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Nowadays, virtual reality is in the stage of rapid development. Rational application will improve the immersive feeling of human-computer interaction. This paper discusses the construction of interactive experience learning system from two perspectives of platform interaction experience and user demand. This system can provide the operation and practice platform of medical tower related equipment, and build a realistic medical environment based on Unity3D and HTC Vive. The base station of the equipment realizes the real-time positioning of users through the signals transmitted by the handle, in order to ensure the effectiveness and immersion of user interaction, and providing information such as equipment introduction, operating instructions, precautions and emergency operation tips of the medical tower. In order to improve the learning efficiency of users, the learning progress of users is recorded in real time, the tactile feedback device on the handle is used to prompt users when they make mistakes. This system provides an interactive platform for medical staff and professionals to learn and train medical hanging towers. It is also expected to serve as the basis for further research on virtual reality technology in the medical industry and improve people’s interactive experience in the virtual environment.

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