Asset Digital Twin & Predictive Analytics
3D digital-twin models with real-time IoT sensor overlay, failure scenario simulation, climate stress testing, virtual inspection, ML-powered predictive maintenance, and anomaly detection — the intelligent core of proactive asset management.
3D Render
Sensor Latency
ML Prediction
Point Cloud
Purpose-Built for Canadian Municipalities
Purpose & Scope
What this module owns
Clear ownership boundaries prevent duplication and ensure every capability has exactly one authoritative home.
Owns
10Delegated to
4Base mapping, 3D terrain, coordinate systems
Device registry, streaming ingestion, edge processing
Model training, inference, MLOps
Inspection data, condition indices
These capabilities are handled by dedicated modules and consumed via stable API contracts — keeping boundaries clean and ownership unambiguous.
Core Capabilities
What it does
3 capability groups comprising 9 discrete capabilities — each with API surface, business rules, and data ownership.
Import BIM (IFC 4.0, Revit), point cloud (LAS/LAZ), photogrammetry (OBJ/glTF), CityGML LoD1-4. Procedural generation from 2D GIS + attributes. Auto-LOD for browser performance.
BIM Import
IFC 4.0, Revit native, COBie for buildings with component-level asset linkage.
Point Cloud
LAS/LAZ format support for LiDAR scans with 10 TB+ storage capacity.
Photogrammetry
OBJ/glTF from drone imagery with ortho-rectified geo-referencing.
Procedural
Auto-generate 3D models from 2D GIS centerlines and attribute data (pipe diameter, depth).
Real-time SCADA/IoT feeds positioned in 3D model with color-coded thresholds, time-series sparklines, click-through dashboards, and alert visualization.
Real-Time Feeds
SCADA, flow, pressure, vibration, temperature, level, and tilt sensors in 3D space.
Color-Coded Thresholds
Green/yellow/red visualization based on configurable threshold ranges.
Time-Series
Sparkline charts on hover with click-through to detailed sensor dashboards.
Alert Visualization
Flashing/pulsing indicators for sensors exceeding thresholds or in alarm state.
360° streetview-style imagery linked to assets, drone orthomosaic overlays, LiDAR point cloud measurement tools, side-by-side temporal comparison, and 3D defect annotation.
360° Imagery
Streetview-style navigation linked to individual assets for remote visual inspection.
Drone Overlays
Drone orthomosaic imagery integrated into 3D model for inaccessible structures.
LiDAR Measurement
Point cloud measurement tools for distance, area, volume, and deformation analysis.
Temporal Comparison
Side-by-side comparison of 3D models across different survey dates.
Every module owns a single bounded context, exposes stable APIs, and can be composed into any Civic product — that's the architecture that scales.
Krutik Parikh
Creator of Civic
Data Model
Entity Architecture
6 entities with 5 relationships — the authoritative schema for this bounded context.
Entities
Select an entity to explore its fields and relationships
API Surface
Integration Endpoints
9 RESTful endpoints across 4 resource groups — plus 4 domain events for async integration.
/api/v1/digital-twin/models
List 3D models
/api/v1/digital-twin/models/{id}
Model detail + streaming URL
/api/v1/digital-twin/models/import
Import BIM/point cloud
Ecosystem
Products that depend on this module
2 Civic products consume Asset Digital Twin & Predictive Analytics — making it one of the most critical platform services in the ecosystem.
Technical Specifications
Performance, Compliance & Configuration
3D Render Performance
Sensor Update Latency
Failure Simulation
ML Prediction Latency
Climate Stress Test
Model Storage
FAQ
Frequently Asked Questions
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