Industrial Twin Lab

About Industrial Twin Lab

Status: Research / Experimental

Industrial Twin Lab is a living technical manifesto, research publication, architecture atlas, and interactive concept demonstrator for industrial machine intelligence. It begins with a strict proposition: an AI system should perform its first experiment in a validated digital environment, not on an operational machine. The publication is authored and maintained in the public aserdargun/itl-aserdargun-com source repository.

It is not a commercial SaaS workflow, a control system, a safety system, a production-data service, or a claim that the P-101 fixture describes a real plant. Phase 1 has no operational-technology connection, backend API, account system, model-training runtime, or automated deployment authority. P-101 and all displayed experiment values are fictional, deterministic teaching fixtures.

Roadmap

  1. Phase 1 — Manifesto + Architecture Atlas: establish the thesis, safety boundary, typed knowledge layer, P-101 fixture, and conceptual demonstrator.
  2. Phase 2 — Interactive Twin Capsule: edit and inspect bounded asset representations.
  3. Phase 3 — Synthetic Experiment Workbench: configure controlled, explicitly synthetic investigations.
  4. Phase 4 — Real Dataset Import: introduce governed, traceable dataset ingestion.
  5. Phase 5 — Python Experiment Runtime: execute reproducible analytical workloads outside OT control.
  6. Phase 6 — MLflow / Experiment Registry: preserve experiment and model lineage.
  7. Phase 7 — FMU / Modelica Simulation: connect validated simulation artifacts through explicit interfaces.
  8. Phase 8 — Local LLM AI Scientist: orchestrate tools and evidence locally without control authority.
  9. Phase 9 — Industrial Connectors: add controlled industrial data access under a separate security design.
  10. Phase 10 — Fleet Intelligence: test portability and organizational learning across assets.

The roadmap documents extension points; it is not hidden partial implementation or a promise that every phase is appropriate for every plant. Any control-facing capability requires its own hazard analysis, security boundary, validation case, approval process, and accountable human authority.