What is AWS IoT TwinMaker?
AWS IoT TwinMaker creates digital representations of physical systems: buildings, factories, facilities, or entire supply chains. The digital twin aggregates real-time data from various sources and visualizes them in a coherent 3D representation.
The service uses a knowledge graph that models the relationships between physical entities: which sensor belongs to which machine, which machine is in which hall, which hall belongs to which site. Real-time data is automatically linked to the corresponding entities.
For industrial companies, TwinMaker provides an overview of complex facilities from a single interface: live sensor data, video feeds, and historical trends, contextualized in a 3D model of the physical environment.
Core Features
- Knowledge Graph: Modeling entities and their relationships
- 3D Scenes: Interactive 3D visualization with live data overlays
- Data Connectors: Integration with IoT SiteWise, Kinesis Video, and external sources
- Grafana Plugin: Dashboards with 3D scenes and time series data
- Scene Composer: Visual editor for 3D scenes with data tags
Common Use Cases
Factory Monitoring: A 3D model of the production floor shows the state of each machine in real-time. Color overlays signal normal operation, warning, or alarm. Operators can click individual machines to view detailed data.
Building Management: Digital twins of office buildings or data centers show temperature, humidity, occupancy, and energy consumption. Facility managers optimize heating, cooling, and lighting based on live data.
What-If Analysis: Simulations on the digital twin show how changes will impact the real facility before implementation: machine reconfigurations, layout changes, or process optimizations.
Benefits
- Unified view of distributed data sources
- 3D visualization with real-time sensor data
- Knowledge graph for complex facility structures
- Integration with existing Grafana dashboards
Integration with innFactory
As an AWS reseller, innFactory supports you with AWS IoT TwinMaker: knowledge graph modeling, 3D scene creation, data source integration, and dashboard development for digital twins.
Typical Use Cases
Frequently Asked Questions
What is AWS IoT TwinMaker?
AWS IoT TwinMaker is a service for creating digital twins of real-world systems. It connects data from IoT sensors, video cameras, and business applications with 3D models. The digital twin represents the current state of a facility and enables simulation, analysis, and optimization.
What data sources does TwinMaker support?
TwinMaker integrates data from IoT SiteWise (sensor data), Kinesis Video Streams (video data), S3 (historical data), and any external sources via Lambda connectors. All data is linked in a unified knowledge graph.
What does AWS IoT TwinMaker cost?
Costs are based on: messages (0.10 USD per 1 million), metadata operations (0.20 USD per 1 million queries), and scene rendering. Typical costs for a medium-sized facility with 500 sensors are 100 to 500 USD/month.