Newly developed technologies for video-assisted expert support and the advent of Augmented Reality for equipment service, triggered use cases within JLR and Philips. Within JLR, breakage of critical machine components can cause a huge standstill of the equipment if the service engineer needs to fly in from mainland Europe. Within Philips, a use-case was defined to visualize relevant maintenance information for the maintenance technician, at the right moment and connected to live data sources as a visual aid to the right maintenance component.
For the JLR use case, a remote service platform, based on the Oculavis SHARE system, has been developed and demonstrated. Equipment experts from abroad can be in contact with the service team of JLR and at the same time, involve a JLR process engineer. The Philips use case resulted in the PROPHESY-AR viewer; a multipurpose tool for both remote support as well as providing specific work instructions and visualization of (predicted) tooling information to the maintenance mechanic.
The PROPHESY-SHARE platform, offering both remote service functionality as well as AR assisted tooling maintenance, is bringing various benefits to the maintenance ecosystem. The most important is the time savings in resolving maintenance issues that are directly translated to cost savings. It is estimated that time savings up to 66% can be realized (1 instead of 3 days solution time) and cost savings of up to 90% (based on avoided downtime and travel costs) per remotely solved case.
- The PROPHESY-SHARE platform has developed into a multi-purpose tool for both remote support as well as providing specific work instructions and visualization of (predicted) tooling information to the maintenance mechanic. As a result, both industrial partners are considering investments in this technology.
- The end-users are very eager to work with digital support systems that ease their job as it brings a single point of data.
- Quite some hurdles to take in the field of health and safety, IT security, GDPR (e.g. face blurring).
- The development cycle with prototype demonstration v1-feedback from the end-users and other stakeholders-demonstration of an improved prototype v2-feedback from the end-users and interdepartmental stakeholders worked very well.
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