Digital twins are not only for design teams and capital projects. Their biggest operational value often comes afterwards, in the repetitive, continuous work that keeps production running.
Reality Twin Maintenance Module
Turn your maintenance data into location-based action, in Reality Twin and in the field.
At a glance
- Connect asset data and documents, work orders and tasks, instructions and notifications directly to the correct location.
- Make work orders easier to understand, faster to execute and less error-prone by anchoring them visually to the real environment.
- Bring AI-powered context to daily work: recognise and link relevant information from documents and images.
What it is
Instead of only entries in a CMMS, work orders, alerts and instructions are presented as spatially and visually linked tasks tied to the actual equipment and location.
The module supports integration with existing maintenance systems and enables personnel to access asset data, instructions and notifications on site. Integration scope, data refresh cycles and visibility rules are defined together with the customer.
Faster Maintenance Preparation and Filed Work Turns Effectiveness to Profitabilty
Maintenance teams face the same recurring barriers across industries: disconnected information, unclear work order context, repeated “go-and-check” visits, and avoidable errors that lead to rework and delays. The Maintenance Module is designed to remove those barriers by making maintenance work visual, contextual and location-based.
Typical outcomes include:
- Faster work order understanding and execution because tasks are anchored to the real asset and location.
- Fewer unnecessary site checks through better remote preparation and shared context.
- More consistent maintenance execution across shifts and contractors with the right documentation at the point of work.
- Stronger shutdown and turnaround planning by visualising tasks, constraints and work areas in advance.
- Safer work planning through procedures connected to the real environment and the real asset.
Maintenance Module’s Key capabilities
CMMS integration readiness: Prepared for integration with common CMMS/EAM systems (implemented as a separate project).
Asset and location context: Maintenance system notifications can be connected visually to the relevant asset and location.
Work orders and work tasks: Works orders with their sub-tasks, statuses, and meta-data can be visualised and pinpointed to the according equipment locations.
Reality Twin Field for on-site execution: Technicians can access tasks, asset information, documentation and instructions while on site on their phones.
Asset system support: Asset hierarchies, identifiers and documentation are visualised and connected to maintenance systems.
LOTO & instruction support: Supports isolation and safe work planning by connecting procedures to the real environment and the real asset.
AI-assisted recognition from images and documents: AI helps detect relevant information from images and documents, reducing manual data handling and making maintenance information easier to reuse.
AI-powered context, seamlessly integrated
AI-assisted data linking and system integrations connect documents, work orders and live asset data directly to their physical location in the 3D environment.
Selecting an asset in Reality Twin provides immediate access to up-to-date ERP/CMMS data, P&IDs, layouts, manuals and maintenance instructions, ensuring accurate, context-aware information at the point of use.
Getting started: months, not years
A maintenance-focused digital twin must deliver value quickly. SolidComp’s rollout approach is pragmatic and typically takes a few months, not years:
- Define the first workflows (daily maintenance, shutdown planning, LOTO, documentation access)
- Confirm asset and location context in Reality Twin
- Deliver the agreed integration scope and refresh cycles
- Enable field execution through Reality Twin Field
- Expand iteratively across areas and workflows
The main variable is the integration scope: which systems are connected, what data objects are included, refresh frequency, and visibility rules. AI-assisted workflows and governance requirements can also influence implementation effort.
Ready to see it in your environment?
Get in touch to book a short demo session to explore the concrete benefits of shared, visual planning and asset management and how your maintenance work orders, instructions and notifications would look as location-based tasks in Reality Twin.
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