Project Background
Railway wheelsets, acting as the "feet" of train sets, have a direct impact on passenger safety due to their condition. Moreover, the maintenance process for wheelsets is complex, involving steps such as fault analysis, detection, repair, and disassembly and assembly. The difficulty in real-time supervision of onsite personnel's operations leads to biases in fault detection, resulting in unnecessary losses for equipment companies.
The railway equipment company involved in this project specializes in the research and development, production, assembly, and maintenance services of railway wheelsets.
As the business continues to expand, the problems with traditional maintenance methods have become increasingly prominent:
During remote maintenance, it is difficult to supervise tasks such as analyzing and detecting wheelset wear and defects, making it challenging for remote technicians to accurately determine whether a wheelset at the site needs to be sent for repair.
When wheelsets require return to the factory for repair, the disassembly and assembly processes often necessitate collaborative work among multiple personnel. Inaccurate transmission of on-site data, equipment processes, and other information can lead to unsafe and disorderly operations.
To address these pain points, the partnering enterprise has introduced the ALVA AR remote maintenance platform, which enables spatial sharing between the on-site and remote technicians. Even complex issues can be communicated accurately. Additionally, the integration of more sophisticated AR tools has made the maintenance of railway wheelsets more efficient, effectively ensuring the safe and smooth operation of trains.
solution
The maintenance of railway wheelsets is a crucial aspect of rail transit operations, aimed at preventing safety hazards caused by wheelset wear and defects through regular inspections.
Using the ALVA AR remote maintenance platform, on-site personnel can synchronize maintenance conditions in real-time with remote technical staff, enabling precise transmission and communication of issues, data, and solutions. This makes the tasks of fault detection, repair, and disassembly of railway wheelsets more efficient.
▲ 相关场景示意图
▶ "Data transmission is more intuitive"
For wheelsets that need replacement, technicians integrate inspection data, 3D wheelset disassembly and assembly procedures, and other resources through the ALVA AR remote operation and maintenance platform. They then project mixed reality prompt information directly to the on-site personnel, allowing them to quickly understand the equipment status and efficiently complete the disassembly and assembly tasks for the wheelsets.
▲相关场景示意图
In addition, the maintenance process supports comprehensive recording and traceability, further contributing to the creation of a corporate maintenance operations knowledge base. This knowledge base can be used to enhance employee professional skills, thereby extending the value of the data.
Project achievements
Through the ALVA AR remote operation and maintenance platform, the collaborating enterprise in this project has achieved a visualization upgrade and multi-terminal sharing of maintenance data resources. The efficient utilization and precise allocation of data have made remote operations more agile, providing crucial support for the safe operation of rail transit.
Moreover, based on the initial maintenance data resources, ALVA also assists the enterprise in creating an AR knowledge base, empowering employee training, product development, and upgrades. This forms a value loop for the entire product lifecycle.
Looking ahead, ALVA Systems will further deepen its collaboration with enterprises in the rail transit industry, broadly empowering more companies with the project experience of the AR remote operation and maintenance platform, aiding them in achieving digital transformation.
Stay tuned as we continue to update with more industry case studies!
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