n8n_8_Revit_IFC_DWG_Conversión_Extracción_Fase_Parser XLSX
Este es unEngineering, Multimodal AIflujo de automatización del dominio deautomatización que contiene 13 nodos.Utiliza principalmente nodos como If, Set, ManualTrigger, ExecuteCommand, ReadBinaryFile. Extraer y analizar datos de modelos Revit a un formato Excel estructurado
- •No hay requisitos previos especiales, puede importar y usarlo directamente
Nodos utilizados (13)
Categoría
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"name": "path_to_revit_converter",
"type": "string",
"value": "C:\\Users\\Artem Boiko\\Desktop\\n8n\\cad2data-Revit-IFC-DWG-DGN-pipeline-with-conversion-validation-qto-main\\cad2data-Revit-IFC-DWG-DGN-pipeline-with-conversion-validation-qto-main\\DDC_Converter_Revit\\RvtExporter.exe"
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"name": "Extract - Ejecutar convertidor Revit",
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"continueOnFail": true
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"operator": {
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"operation": "exists",
"rightType": "any"
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"leftValue": "={{ $node[\"Extract - Run Revit converter\"].json.error }}",
"rightValue": ""
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}
},
"typeVersion": 2
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"name": "Success - Crear nombre de archivo Excel",
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"name": "xlsx_filename",
"type": "string",
"value": "={{ $node[\"Setup - Define file paths\"].json[\"revit_file\"].slice(0, -4) + \"_rvt.xlsx\" }}"
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"id": "error-message-id",
"name": "error_message",
"type": "string",
"value": "=Extraction failed: {{ $node[\"Extract - Run Revit converter\"].json.error || \"Unknown error\" }}"
},
{
"id": "error-code-id",
"name": "error_code",
"type": "number",
"value": "={{ $node[\"Extract - Run Revit converter\"].json.code || -1 }}"
}
]
}
},
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{
"id": "6010e598-b0de-415b-b812-3dcbf656dd65",
"name": "Extract - Leer archivo Excel desde disco",
"type": "n8n-nodes-base.readBinaryFile",
"position": [
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"parameters": {
"filePath": "={{ $json[\"xlsx_filename\"] }}"
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"id": "fabbaaf9-ec88-45eb-866d-e4a3f876a586",
"name": "Extract - Analizar Excel a datos",
"type": "n8n-nodes-base.spreadsheetFile",
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"content": "## 🔷 EXTRACT Phase\n\n**E**xtract data from Revit file:\n1. Setup file paths\n2. Run Revit converter (RVT → Excel)\n3. Check if conversion succeeded\n4. Read Excel file from disk\n5. Parse Excel into structured data"
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"content": "# ETL with CAD (BIM) \n**Extract. Transform. Load — the future of data processing in construction**\n\nETL (Extract, Transform, Load) is a time-tested and universal approach at the heart of every mature digital infrastructure. When applied to CAD and BIM data, it becomes not just relevant — but essential.\nETL is more than just a technical process. It’s a mindset shift — one that takes BIM out of the siloed world of 3D modeling and into the open world of transparent, interoperable, and machine-readable data. It is this paradigm that powers platforms like [DataDrivenConstruction.io](https://datadrivenconstruction.io) and drives the future of digital transformation in the built environment.\n"
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"content": "⭐ **If you find our tools helpful**, please **consider starring** our repository on [GitHub](https://github.com/datadrivenconstruction/cad2data-Revit-IFC-DWG-DGN-pipeline-with-conversion-validation-qto). \n\nYour support helps us improve and continue developing open solutions for the community!\n"
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"content": "## ⬇️ Only modify the variables here \neverything else works automatically"
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}¿Cómo usar este flujo de trabajo?
Copie el código de configuración JSON de arriba, cree un nuevo flujo de trabajo en su instancia de n8n y seleccione "Importar desde JSON", pegue la configuración y luego modifique la configuración de credenciales según sea necesario.
¿En qué escenarios es adecuado este flujo de trabajo?
Intermedio - Ingeniería, IA Multimodal
¿Es de pago?
Este flujo de trabajo es completamente gratuito, puede importarlo y usarlo directamente. Sin embargo, tenga en cuenta que los servicios de terceros utilizados en el flujo de trabajo (como la API de OpenAI) pueden requerir un pago por su cuenta.
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Artem Boiko
@datadrivenconstructionFounder DataDrivenConstruction.io | AEC Tech Consultant & Automation Expert | Bridging Software and Construction
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