Industrial Metaverse (Mixed Reality)

REMOTE ASSIST

Microsoft Remote Assist enables engineers to diagnose problems remotely from anywhere in the world. Multi-device support, including Hololens, Android and iOS makes it convenient for anyone on the site to start a real-time session with a professionally qualified engineer. The engineer can guide the person on the other end by interactively highlighting critical information on the call in real time step-by-step.

  • 88% efficiency improvement
  • Improve first-time fix rates
  • Reduce travel costs
  • Centralise global specialist engineer functions
  • Collaborative, interactive experience

GUIDES

Using Microsoft Guides, employees can interact with components in real time while being guided step-by-step. Real-time hands-on learning makes this experience more memorable, hence allowing employees to pick up new skills at a faster rate.

  • Immersive training
  • Learn by doing, accelerates training
  • 4 x improved knowledge retention
  • Hands free support
  • Improves production quality
  • Uses holographic Digital Twins

DIGITAL TWIN

A Digital Twin is the result of replicating a component or machine as a 3D model. Engineers no longer have to travel to the machinery to see what's going on - instead, they can view its digital twin and diagnose any problems from wherever they are in the world.


Users can explode the sub-assemblies to explore specific parts in more detail.

  • Remote Investigation & Diagnosis - saving costs
  • Predictive Maintenance diagnosis and alerts
  • Digital Simulations can be used for prototyping
  • Contextually Aware models
  • Cross Device support (HoloLens, iPad/Tablet, etc)
  • Reduce travel costs

IOT TELEMETRY INTEGRATION

IoT Telemetry Integration is the process of capturing thousands of sensors’ data and feeding the real-time telemetry back to a visualisation platform such as the Digital Twin or Power BI dashboard.


Users can define different maximum / minimum thresholds for metrics such as frequencies, RPM’s, etc.


When a particular sensor reaches or exceeds the defined threshold, the user receives real-time alerts and on-going actions via emails or text messages.


Integrating the sensor data with predictive analytics enables machine learning models to forecast and find patterns in sensor data. This will help businesses to identify when components need replacing to minimise costly downtimes.

  • Interactive Holograms displaying near real-time IOT telemetry
  • Spatially in-context telemetry enables rapid diagnosis
  • Scalable platform supporting thousands of global equipment
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