A Remote Maintenance Support Method for Complex Equipment Based on Layered-MVC-B/S Integrated AR Framework

Area of Science:

• Engineering
• Computer Science

Background:

• Augmented reality (AR) aids simple equipment maintenance.
• Complex equipment maintenance is challenging due to structural complexity, multiple faults, and high costs, often requiring remote collaboration.

Purpose of the Study:

• To propose an integrated AR framework for remote maintenance support (IAR-RMS) for complex equipment.
• To address challenges in multi-person remote collaboration for complex equipment maintenance.

Main Methods:

• Defined maintenance content and workflows for multi-person remote collaboration.
• Analyzed collaborative management, implementing permission and operation sequence control.
• Integrated layered, MVC, and B/S architectures to build the RMS model.
• Demonstrated RMS functional modules and validated the IAR-RMS method using power system disassembly/assembly.

Main Results:

• The IAR-RMS method effectively supports maintenance tasks in multi-person remote collaboration.
• The framework ensures reliability and timeliness in complex equipment maintenance.
• The experimental validation confirmed the method's effectiveness and generalizability.

Conclusions:

• The proposed IAR-RMS method enhances remote maintenance support for complex equipment.
• It improves multi-person collaboration by managing roles and operations effectively.
• The integrated AR framework offers a reliable and user-friendly solution for intricate maintenance scenarios.