Success Stories

PI Mapping Intelligence System

Power Generation
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PI Mapping Intelligence System

Our multi-agent system maps PI points to physical equipment across SCADA, maintenance, and operational databases.

Goals

  • Map PI points to physical equipment across multiple disparate databases.
  • Resolve inconsistent tag names and operational context gaps.
  • Establish a live knowledge graph to enhance system diagnostics.
  • Automate the equipment-tag mapping process to eliminate manual workflows.

Challenges

  • Equipment appears under different aliases across disparate industrial databases.
  • Mapping processes rely heavily on manual efforts and tribal knowledge.
  • Fragmented systems lack semantic alignment, restricting analytics and automation.
  • Operational systems experience data context gaps due to isolated silos.

Solutions

  • Deploy collaborative agent-to-agent reasoning with self-reflection capabilities.
  • Utilize natural language processing and domain ontologies to extract tag descriptions.
  • Integrate symbolic reasoning to map and resolve physical equipment identities.
  • Establish continuous feedback loops for live, automatic mapping updates.

Results

  • Unified equipment intelligence across SCADA, maintenance, and operational databases.
  • Automated and evolving knowledge graphs of equipment-tag relationships.
  • Scalable deployment capable of adapting to multi-system industrial environments.
  • Improved diagnostic accuracy and operational visibility across the organization.