AI Digital Twin Platform — digital twin platform

3D, GIS and scenario modeling

A digital duplicate of an area, object or infrastructure

The platform forms a coherent digital model of the real environment, combining 2D/3D geodata, registers, sensors, documents and analytical models for monitoring, forecasting and verification of management scenarios.

3D digital terrain model for AI Digital Twin Platform

For which management decisions

AI Digital Twin Platform is needed where decisions do not depend on one indicator, but on the interaction of territory, assets, processes and changes over time.

Change planning

Verification of building options, infrastructure, mobility, resource provision and restrictions.

Asset management

A unified digital model of objects, technical characteristics, status, works and interdependencies.

Monitoring

Comparison of the planned and actual state according to the data of surveys, sensors, photos, drones and operating systems.

Forecasting

Using statistical and AI models to detect anomalies, assess risks and scenarios.

What data does the system combine

The list of sources is determined during the discovery stage. The system can combine spatial, registry, statistical, documentary and operational data without public disclosure of information with limited access.

Spatial basis

  • maps, orthophoto plans and relief
  • BIM, CAD and 3D models
  • addresses, land plots and networks

Objects

  • passports and technical specifications
  • owners, balance holders and contracts
  • inspections, defects and repair work

Dynamic data

  • sensors and telemetry
  • mobile examinations
  • events, applications and incidents

Models

  • rules and calculation models
  • forecasts and risk indicators
  • development and optimization scenarios
3D object model with spatial data for digital double
Illustrative example of an interface based on existing geo-information and analytical solutions MagneticOne MT. The composition of layers, indicators and modules is adjusted according to the data and authority of the customer.

Key analytical modules

The digital double is created gradually: from the basic model and priority processes to the integration of dynamic data and predictive analytics.

2D/3D environment

A visual model of the territory or asset with levels of detail, thematic layers and time slices.

Register of assets

Related spatial features, characteristics, documents, interdependencies, and change history.

Operational monitoring

Events, metrics, alerts, response routes, and performance monitoring.

AI and scenarios

Search for patterns, forecasting, comparison of alternatives and explained recommendations for a specialist.

How implementation works

Examination
We define management tasks, users, available data and access requirements.
Data model
We agree on classifiers, indicators, integrations, quality rules and updates.
Pilot environment
We configure priority maps, panels, analysis scenarios and user roles.
Scaling
We connect new territories, sources, modules, reporting and support.

Usage levels

Architecture can be formed for a national level, a ministry or public agency, a region, a municipality or an individual organization. Each level gets its own set of data, powers, indicators and reports.

National level

Models of critical systems and national programs.

City or region

Territorial planning, infrastructure and urban processes.

Enterprise

Assets, production processes, energy and maintenance.

A separate object

A building, complex, network or engineering structure.

Related solutions and services

The platform can work as an independent analytical system or as an add-on to existing registers, geoportals and industry systems.

Next step

Let us discuss an analytical system for your objectives

We will clarify users, data sources, required modules, integrations and delivery format, then propose a clear implementation plan.