Equipment condition signals connect to trend review and maintenance planning.
BUILT AROUND THE WORK YOU DO
Turn equipment signals into perspective.
Maintenance decisions connect a machine's condition with the work people need to do next. Lokaverse predictive maintenance brings that discussion into the same platform as your equipment information, dashboards and simulations. Use live machine data to review condition and maintenance needs in context. Bring operational and technical colleagues together to interpret the information and decide the appropriate follow-up for the equipment.
01
Keep the condition linked to the equipment.
Review machine information alongside its visual context. Connecting the readings to the equipment helps teams discuss what a change means, which part needs attention and what knowledge is needed before deciding on maintenance work.
02
Support a practical maintenance workflow.
Use predictive maintenance insights as an input to planning. Give the responsible people a place to review the condition, discuss the concern and determine a suitable response based on the equipment, its operating context and their maintenance process.
03
Bring specialists into the same discussion.
Use Lokaverse dashboards and shared simulation experiences to connect people working across locations. A maintenance specialist and an operations colleague can review a common visual reference and contribute their knowledge to the next decision.
A PRACTICAL WAY FORWARD
From condition data to a maintenance plan.
STEP 01
Define the equipment and the decision.
Identify the machines, available condition data and maintenance questions. Agree who reviews the information and how a concern should enter the team's existing workflow.
STEP 02
Connect data and review the context.
Bring relevant machine readings into the platform. Use dashboards and connected visual content to review condition information alongside the equipment it describes.
STEP 03
Evaluate and plan the follow-up.
Review predictive insights with the responsible team. Use technical judgement and the operating context to decide what to investigate, schedule or discuss further.
PUT IT INTO PRACTICE
A place in your real world.
Start with the people, products and processes you need to bring together.
Yes. Predictive maintenance is an available Lokaverse capability. Discuss the equipment, data and maintenance workflow with the team so the project is scoped around the information you have and the decisions you need to support.
How do we start a predictive maintenance project?
Start with the equipment you want to monitor and the maintenance decisions you need to support. Review the available condition data, choose useful views and agree how your operations and maintenance teams will act on the insights.