datadrivenconstruction

Detect and analyze geometric clashes between BIM elements. Identify hard clashes, soft clashes, and workflow conflicts using spatial analysis and rule-based detection.

Build KPI dashboards for construction projects. Track CPI, SPI, quality, safety metrics in real-time.

Fetch weather data for construction scheduling. Historical data, forecasts, and risk assessment for outdoor work.

Analyze BIM clash detection results and suggest resolutions. Prioritize clashes, identify patterns, assign responsibility, and track resolution status.

Provide data-driven decision support for construction. Analyze multiple factors and recommend optimal project decisions.

Automate construction data processing using LLM (ChatGPT, Claude, LLaMA). Generate Python/Pandas scripts, extract data from documents, and create automated pipelines without deep programming knowledge.

Converta arquivos IFC (2x3, 4x1, 4x3) para bancos de dados Excel usando o IfcExporter CLI. Extraia dados BIM, propriedades e geometria sem software proprietário.

Analyze construction budget variances. Compare estimated vs actual costs, identify trends, forecast final costs, and generate variance reports for cost control.

Automatically extract patterns, best practices, and reusable knowledge from construction automation sessions to improve future performance.

Fetch construction material prices from open APIs. Track price trends, regional variations, and update cost databases.

Apply machine learning for construction project risk assessment. Predict schedule delays, cost overruns, and safety incidents using historical data and project characteristics.

Check BIM model consistency: naming conventions, parameter completeness, spatial relationships, and data integrity across model elements.