Less time looking for data
Evidence organized by asset, element and date.
Infrastructure · Structural integrity
Every piece of evidence in its place. Every decision in context.
The Web Digital Twin links inspections, images, sensors and satellite data to the asset model. From the inspection campaign to the action, the platform organizes the process and leaves technical validation to engineering.
- Scattered dataPhotos, measurements, series and reports in different places.
- Context by element and dateThe platform integrates the data and automates steps of the work.
- Traceable decisionEach action stays linked to the evidence that prompted it.
The integrity cycle
Plan, execute, analyze and act on the same model.
Select a step.
The result guides the next campaign
Choose where, when and how to inspect.
- What goes in
- Asset, history, criticality and methods.
- What the Web Digital Twin does
- Organizes regions, campaigns, checklists and open items.
- Role of engineering
- Defines the scope and approves the plan.
Assets, regions, methods, intervals and owners are defined in the model context. History and criticality help choose the spans that need attention, and configurable checklists cover everything from visual assessment to specialized tests. The team sees what is scheduled, what has been covered and what is still open.
Many scales, one context
Each source of evidence adds a reading.
Select a source to see what it adds. The lines show data association, not a probability of failure.
Web Digital Twin
Image and drone
See the anomaly on the element and compare campaigns.
AI can suggest a class; the professional confirms.
Conventional and drone photographs help observe decks, beams, piers, bearings and hard-to-reach regions. Each image can be reviewed on the matching element and campaign. AI screens images according to the context it was configured for; the inspector or engineer confirms, corrects or discards the suggestion before it enters the technical assessment.
Guided explanation
Which decision do you need to support?
History, criticality and recent signals help direct the next campaign.
Sources highlighted in the graph: Structural model, Inspection and GPR, Risk and actions
- Evidence
- Criterion
- Engineering review
- Action
- History
Illustrative answers about how the platform is used; they are not an analysis of a real asset.
What changes for the team
More clarity for engineering
Signals from different methods seen in the same context.
Actions that don't get lost
Criterion, owner, deadline and result linked to the history.
Featured application
Rio das Velhas Bridge
On the Rio das Velhas Bridge, a pilot with DNIT brought a 4D model, inspections, sensors and InSAR series into the Web Digital Twin. The experience showed the value of relating evidence and actions on the same asset.
View cases →Frequently asked questions
Does AI decide for engineering?
AI suggests a screening of the images. A professional validates the location, type and relevance of the finding before any decision.
What does GPR show?
It can locate reinforcement and estimate cover; it does not directly measure corrosion or the remaining section of the bar.
Does InSAR measure vertical displacement?
The direct measurement is along the line of sight. A vertical component can only be interpreted when geometry and processing allow it.
Do I need to instrument the whole network?
A first case can use the history and inspections of one priority asset. New sources are added as the technical question and criticality require.