Documentos

Construction safety incident reporting and analysis. Capture incidents, conduct investigations, track corrective actions, and analyze trends for prevention.

Calcule os custos de construção usando a metodologia baseada em recursos DDC CWICR. Detalhe os custos em mão de obra, materiais e equipamentos com precificação transparente.

Predict construction project costs using Machine Learning. Use Linear Regression, K-Nearest Neighbors, and Random Forest models on historical project data. Train, evaluate, and deploy cost prediction models.

Check data compliance with construction standards. Validate data against ISO 19650, IFC, COBie, UniFormat standards.

Aggregate and analyze IoT sensor data from construction sites. Collect data from multiple sensor types, detect anomalies, and trigger alerts for safety and quality monitoring.

Analyze construction drawings to extract dimensions, annotations, symbols, and metadata. Support quantity takeoff and design review automation.

Implement semantic vector search for construction data. Build AI-powered search using embeddings and vector databases (Qdrant, ChromaDB) for intelligent querying of specifications, standards, and project documents.

Calculate embodied carbon and lifecycle emissions for construction materials and projects. Support sustainable design decisions with carbon data.

Link BIM elements to schedule activities for 4D simulation. Visualize construction sequence over time.

Gere imagens e visualizações a partir de arquivos Revit/IFC sem software BIM. Ferramenta noBIM baseada em Python para processamento em lote.

Reusable prompt templates for construction AI tasks: cost estimation, schedule analysis, document processing, BIM queries. Structured prompts for consistent results.

Prequalify subcontractors based on safety, financial, and performance criteria.