CAD Automation · AI Workflows · Electrical Planning — 2023 — Present
AI-Assisted Electrical Planning & Schematics
Automated schematic generation, component mapping, and audit-safe engineering workflows.
Concept visual
Overview
Developing specialized pipelines to automate repetitive electrical documentation and cabinet layout generation without compromising human review, traceability, or industrial regulatory compliance.
Challenge
Electrical engineering planning in CAD packages like EPLAN is notoriously labor-intensive. Manual data entry for terminal blocks, cable designations, and I/O tags introduces clerical errors that cause expensive commissioning delays.
Approach
Harnessing structured multi-agent LLM pipelines to parse machine requirements, map component BOMs, generate XML/macro schematic descriptions, and present diff views for certified engineer review.
Architecture
- 01
Specification Parser: Converts mechanical actuator tables into required electrical circuit topologies.
- 02
Macro Assembler: Programmatically lays out standard feeder, protection, and I/O slices.
- 03
Traceability Auditor: Cross-references wire cross-sections against thermal rating rules and voltage drops.
- 04
Human-in-the-Loop Gate: All generated schemas require signed engineering checkout before export.
Specifications
- Workflow Paradigm
- Human-in-the-Loop Generative Verification
- Standard Target
- IEC 81346 Reference Designation
- Clerical Time Reduction
- ~60% on initial schematic pass
- Audit Trail
- 100% deterministic parameter history
Stack
EPLAN Scripting API · Python · Pydantic Structured Output · Multi-Agent Orchestration · IEC 81346 Standard
Attribution
Applied engineering research by KK Achari exploring safe generative assistance.
Imagery marked “Concept visual” is art direction, not documentary photography.