BKOAI converted PI tag mapping into a structured reasoning workflow and stored the full decision path in a Context Graph, creating reusable decision memory with improved accuracy and traceability.
Goal
Improve PI tag-to-equipment mapping accuracy and consistency
Turn mapping from a one-time lookup into a reusable contextualization workflow
Preserve decision logic for future reuse and governance
Challeng
PI tags are often inconsistent, abbreviated, or incomplete
A single tag may match multiple equipment candidates
Traditional methods preserve the final result but lose the rationale, alternatives, constraints, and validation history
Solutions
Use Contextualization Agents to expand tag metadata and compare equipment candidates
Apply process context, equipment hierarchy, and operating constraints
Embed self-reflection and human verification into the workflow
Store the complete decision history in a structured Context Graph
Result
Reuse prior mapping decisions instead of restarting inference
Reduce hallucination risk and manual rework
Improve consistency, traceability, and auditability
Scale contextualization across assets and deployments
.svg){kind=small}
.svg){kind=small}
.svg){kind=small}
