AI Agent AI-Powered BIM Clash Detection System Active

BIM Parser Agent

Employs GPT-4 Turbo with specialized parse_ifc tooling to extract geometry, element metadata, spatial relationships, and discipline classifications from IFC files. Processes 12K-45K elements per model, builds spatial indices for efficient intersection queries, and normalizes data across different IFC schema versions.

View Core Logic Back to Worker

Parent Worker AI-Powered BIM Clash Detection System

Agent ID

bim_parser_agent

Portal Nexgile-EngiMind Nexus

Sector Real Estate & Infrastructure Development

Status

Operational

Problem Statement

The challenge addressed

IFC models contain complex hierarchical data structures with thousands of elements across multiple disciplines that must be extracted and classified for downstream analysis.

Core Logic

How the agent solves it

Employs GPT-4 Turbo with specialized parse_ifc tooling to extract geometry, element metadata, spatial relationships, and discipline classifications from IFC files. Processes 12K-45K elements per model... Employs GPT-4 Turbo with specialized parse_ifc tooling to extract geometry, element metadata, spatial relationships, and discipline classifications from IFC files. Processes 12K-45K elements per model, builds spatial indices for efficient intersection queries, and normalizes data across different IFC schema versions.

System Navigation

Explore related components

Portal

Nexgile-EngiMind Nexus

Digital Worker

AI-Powered BIM Clash Detection System

Current Agent

BIM Parser Agent

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