Using AI/ML to improve and speedup MEP Estimation

I’m experienced with plumbing and mechanical estimation for commercial construction. There’s nothing more frustrating than completing a bid to receive updated drawings that require a bid update. Back to the drawing board?

I’ve been working on an advanced computer vision application that automatically analyzes plumbing drawings and schematics using machine learning. The system identifies plumbing symbols (valves, fixtures, fittings), detects pipe runs with different line styles (hot water, cold water, sewage), and provides AI-powered validation against plumbing codes and best practices.

Key capabilities include:

• Automated symbol recognition with user correction and training feedback

• Smart pipe detection that distinguishes between actual plumbing lines and drawing annotations

• Layer-based visualization system for managing different drawing elements

• Scale-aware measurements and real-world dimension calculations

• AI validation engine that flags potential code violations and missing components

• Professional drawing viewer with zoom, pan, and region selection tools

The application streamlines the review process for plumbing drawings, reducing manual inspection time while improving accuracy and consistency in identifying potential issues before construction begins.