Equipment signals and illustrative trends appear alongside a digital representation of an asset.
BUILT AROUND THE WORK YOU DO
See the asset. Understand the signal.
A reading is more useful when people can see what it belongs to. Lokaverse live data visualization brings machine and equipment information into the platform, where teams can view it through dashboards and connected simulations. Explain a value alongside its equipment context, review a process with colleagues and use the same platform content in the settings where operational discussions happen.
01
Bring equipment information into view.
Ingest readings from your machine data sources and organise them around the equipment or process they describe. Give the people reviewing a value a clear route back to the physical subject, rather than leaving context in a separate document.
02
Choose the view that fits the question.
Use dashboards for an overview and connected 3D content when location or component context matters. Build the presentation around the decisions people need to discuss, so the visual explanation serves the task instead of becoming another disconnected screen.
03
Reuse the information across experiences.
Use connected platform content in shared reviews and supported mixed reality experiences. A reusable dashboard can support a discussion at a desk or beside equipment, helping technical and operational colleagues work from a common context.
A PRACTICAL WAY FORWARD
Connect the information to its context.
STEP 01
Identify the readings that matter.
Choose the equipment and data sources for the project. Agree what the readings represent and what people need to understand from them.
STEP 02
Connect and present the information.
Bring the data into Lokaverse and shape the dashboard or simulation view. Review the relationship between each reading and the equipment context shown.
STEP 03
Use the view in your workflow.
Review the information with the right team. Reuse the dashboards in shared sessions or supported mixed reality experiences when that makes the equipment easier to discuss.
PUT IT INTO PRACTICE
A place in your real world.
Start with the people, products and processes you need to bring together.
Yes. Live machine data ingestion and visualization are available. Discuss your data sources and intended views with the team so the connection approach and dashboard content match the equipment and workflow you want to support.
Does connecting data also provide predictive maintenance?
Live data visualization and predictive maintenance are related capabilities. Visualization presents equipment information in context. Predictive maintenance uses condition information to support maintenance planning. Define the equipment, data and follow-up process when deciding how to use them together.