Live factory digital twin that combines equipment telemetry, process state, 3D asset context, anomaly alerts, and what-if production simulations.
How the solution is organized and why the structure matters.
Live factory digital twin that combines equipment telemetry, process state, 3D asset context, anomaly alerts, and what-if production simulations. The technical blueprint separates responsibilities into clear layers so the solution can be tested, explained, extended, and handed over confidently.
Four clear layers keep responsibilities understandable and maintainable.
Reads physical inputs, validates sensor values, and manages device-side control logic.
Moves telemetry and commands through resilient, clearly named messages with reconnect handling.
Validates incoming payloads, stores time-series events, and exposes controlled service endpoints.
Presents live state, history, alerts, and device health in a responsive dashboard or app.
The practical role of each technology in this project.
Live virtual representation of physical equipment, state, and operating behavior.
Industrial interoperability protocol for secure equipment data and control models.
Lightweight publish/subscribe messaging for device telemetry and commands.
Core implementation language for analysis, automation, services, and models.
Supports the project's IoT implementation, integration, or evaluation requirements.
Supports the project's IoT implementation, integration, or evaluation requirements.
A reviewable path from requirements to tested handover.
Confirm users, inputs, outputs, acceptance criteria, platform limits, and delivery scope.
Validate the highest-risk technical decisions with a small working baseline before full implementation.
Build in reviewable modules, connect the selected technologies, and document key decisions.
Test expected and failure paths, review outcomes, and prepare technical documentation and guidance.
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