P&ID Diagram Automation for Energy Corporation
Intelligent extraction and regeneration of piping & instrumentation diagrams at scale
The problem we set out to solve
A global energy company maintained over 45,000 legacy P&ID diagrams in various formats. Manual documentation updates consumed 12,000+ engineering hours annually, with frequent errors in instrument tagging and line numbering that caused costly construction rework.
How iCaptur.AI delivered
iCaptur.AI developed a custom P&ID intelligence pipeline combining computer vision, symbol recognition AI, and structured data extraction. The system reads legacy diagrams, identifies all instruments, valves, and piping, and regenerates standardized digital P&IDs with full metadata.
Step by Step
Symbol Library
Built a comprehensive AI-trained symbol recognition library covering 2,800+ ISA instrument symbols and piping components
Vision Pipeline
Deployed multi-stage computer vision pipeline for line tracing, connection detection, and tag reading
Data Model
Created a graph-based data model linking instruments to process lines, equipment, and control loops
Regeneration
Automated regeneration of clean, standards-compliant P&IDs in SVG and AutoCAD-compatible formats
Validation
Built automated QA pipeline comparing extracted data against engineering databases for cross-validation
"iCaptur automated what we thought was impossible. Converting 45,000 legacy P&IDs into fully digital, searchable assets has transformed our engineering operations."
Delivered Results
45,000+ legacy P&ID diagrams digitized and made searchable
Symbol recognition accuracy of 96.8% across all ISA standard symbols
85% reduction in P&ID documentation and update time
12,000 engineering hours redirected to higher-value design work annually
Construction rework due to documentation errors reduced by 67%
