n8n_8_Revit_IFC_DWG_Konvertierung_Extraktionsphase_XLSX_Parsen

Fortgeschritten

Dies ist ein Engineering, Multimodal AI-Bereich Automatisierungsworkflow mit 13 Nodes. Hauptsächlich werden If, Set, ManualTrigger, ExecuteCommand, ReadBinaryFile und andere Nodes verwendet. Revit-Modell-Daten extrahieren und in strukturiertes Excel-Format parsen

Voraussetzungen
  • Keine besonderen Voraussetzungen, sofort nach Import nutzbar
Workflow-Vorschau
Visualisierung der Node-Verbindungen, mit Zoom und Pan
Workflow exportieren
Kopieren Sie die folgende JSON-Konfiguration und importieren Sie sie in n8n
{
  "id": "fgQgNpXb2YQnLXjA",
  "meta": {
    "instanceId": "faa70e11b7175129a74fd834d3451fdc1862589b16d68ded03f91ca7b1ecca12"
  },
  "name": "n8n_8_Revit_IFC_DWG_Conversation_EXTRACT_Phase_with_Parse_XLSX",
  "tags": [],
  "nodes": [
    {
      "id": "fc85a630-5560-4345-bb4a-02cb8632bc80",
      "name": "Start – Klick zum Beginnen",
      "type": "n8n-nodes-base.manualTrigger",
      "position": [
        -656,
        720
      ],
      "parameters": {},
      "typeVersion": 1
    },
    {
      "id": "26b97603-966f-4f03-a3bb-3e0d7a99bb2f",
      "name": "Setup – Dateipfade definieren",
      "type": "n8n-nodes-base.set",
      "position": [
        -432,
        720
      ],
      "parameters": {
        "options": {},
        "assignments": {
          "assignments": [
            {
              "id": "9cbd4ec9-df24-41e8-b47a-720a4cdb733b",
              "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"
            },
            {
              "id": "aa834467-80fb-476a-bac1-6728478834f0",
              "name": "revit_file",
              "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\\Sample_Projects\\2023 racbasicsampleproject.rvt"
            }
          ]
        }
      },
      "typeVersion": 3.4
    },
    {
      "id": "09957e4d-78e3-43c5-8c53-73bc70d8cdce",
      "name": "Extract – Revit-Konverter ausführen",
      "type": "n8n-nodes-base.executeCommand",
      "position": [
        -176,
        720
      ],
      "parameters": {
        "command": "=\"{{$json[\"path_to_revit_converter\"]}}\" \"{{$json[\"revit_file\"]}}\""
      },
      "typeVersion": 1,
      "continueOnFail": true
    },
    {
      "id": "b7023aae-b316-47c0-be39-57938aa0c7a4",
      "name": "Check – War die Extraktion erfolgreich?",
      "type": "n8n-nodes-base.if",
      "position": [
        16,
        720
      ],
      "parameters": {
        "options": {},
        "conditions": {
          "options": {
            "leftValue": "",
            "caseSensitive": true,
            "typeValidation": "strict"
          },
          "combinator": "and",
          "conditions": [
            {
              "id": "condition1",
              "operator": {
                "type": "object",
                "operation": "exists",
                "rightType": "any"
              },
              "leftValue": "={{ $node[\"Extract - Run Revit converter\"].json.error }}",
              "rightValue": ""
            }
          ]
        }
      },
      "typeVersion": 2
    },
    {
      "id": "040addcf-4238-4e7a-a579-893eb4bca48c",
      "name": "Success – Excel-Dateiname erstellen",
      "type": "n8n-nodes-base.set",
      "position": [
        208,
        736
      ],
      "parameters": {
        "options": {},
        "assignments": {
          "assignments": [
            {
              "id": "9cbd4ec9-df24-41e8-b47a-720a4cdb733b",
              "name": "xlsx_filename",
              "type": "string",
              "value": "={{ $node[\"Setup - Define file paths\"].json[\"revit_file\"].slice(0, -4) + \"_rvt.xlsx\" }}"
            }
          ]
        }
      },
      "typeVersion": 3.4
    },
    {
      "id": "b04c4618-1565-4551-b154-b9d4d5aa6b39",
      "name": "Error – Fehler anzeigen",
      "type": "n8n-nodes-base.set",
      "position": [
        208,
        560
      ],
      "parameters": {
        "options": {},
        "assignments": {
          "assignments": [
            {
              "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 }}"
            }
          ]
        }
      },
      "typeVersion": 3.4
    },
    {
      "id": "6010e598-b0de-415b-b812-3dcbf656dd65",
      "name": "Extract – Excel-Datei von Festplatte lesen",
      "type": "n8n-nodes-base.readBinaryFile",
      "position": [
        416,
        736
      ],
      "parameters": {
        "filePath": "={{ $json[\"xlsx_filename\"] }}"
      },
      "typeVersion": 1
    },
    {
      "id": "fabbaaf9-ec88-45eb-866d-e4a3f876a586",
      "name": "Extract – Excel in Daten parsen",
      "type": "n8n-nodes-base.spreadsheetFile",
      "position": [
        624,
        736
      ],
      "parameters": {
        "options": {}
      },
      "typeVersion": 1
    },
    {
      "id": "1865546f-1253-4ea3-9179-3ebd95ad5189",
      "name": "Extract Phase Note",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -784,
        432
      ],
      "parameters": {
        "color": 6,
        "width": 552,
        "height": 504,
        "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"
      },
      "typeVersion": 1
    },
    {
      "id": "5c9a53b9-1818-4135-b442-f0643d97b645",
      "name": "Sticky Note",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -800,
        256
      ],
      "parameters": {
        "color": 7,
        "width": 1908,
        "height": 712,
        "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"
      },
      "typeVersion": 1
    },
    {
      "id": "3aa00356-09e3-4e4c-85d0-4a316a3877a2",
      "name": "Sticky Note1",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        752,
        112
      ],
      "parameters": {
        "width": 340,
        "height": 132,
        "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"
      },
      "typeVersion": 1
    },
    {
      "id": "af58225a-0ea4-4c6f-888e-49f1a8c6b319",
      "name": "Sticky Note2",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -496,
        544
      ],
      "parameters": {
        "color": 4,
        "height": 368,
        "content": "## ⬇️ Only modify the variables here  \neverything else works automatically"
      },
      "typeVersion": 1
    },
    {
      "id": "14f11329-b954-4675-96e9-f357b1ff7caf",
      "name": "Extract Phase Note1",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -208,
        432
      ],
      "parameters": {
        "color": 5,
        "width": 1288,
        "height": 504,
        "content": ""
      },
      "typeVersion": 1
    },
    {
      "id": "e2f8beb9-da5e-4a40-b0c5-869d2ee67c09",
      "name": "On the standard 3D View",
      "type": "n8n-nodes-base.if",
      "position": [
        832,
        736
      ],
      "parameters": {
        "conditions": {
          "boolean": [
            {
              "value1": "={{ $json['On the standard 3D View'] }}",
              "value2": true
            }
          ]
        }
      },
      "typeVersion": 1
    }
  ],
  "active": false,
  "pinData": {
    "Start - Click to begin": [
      {
        "json": {}
      }
    ]
  },
  "settings": {
    "executionOrder": "v1"
  },
  "versionId": "5a2ee85e-e76d-48be-850f-8ebb85cfd222",
  "connections": {
    "fc85a630-5560-4345-bb4a-02cb8632bc80": {
      "main": [
        [
          {
            "node": "26b97603-966f-4f03-a3bb-3e0d7a99bb2f",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "e2f8beb9-da5e-4a40-b0c5-869d2ee67c09": {
      "main": [
        [],
        []
      ]
    },
    "26b97603-966f-4f03-a3bb-3e0d7a99bb2f": {
      "main": [
        [
          {
            "node": "09957e4d-78e3-43c5-8c53-73bc70d8cdce",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "fabbaaf9-ec88-45eb-866d-e4a3f876a586": {
      "main": [
        [
          {
            "node": "e2f8beb9-da5e-4a40-b0c5-869d2ee67c09",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "09957e4d-78e3-43c5-8c53-73bc70d8cdce": {
      "main": [
        [
          {
            "node": "b7023aae-b316-47c0-be39-57938aa0c7a4",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "b7023aae-b316-47c0-be39-57938aa0c7a4": {
      "main": [
        [
          {
            "node": "b04c4618-1565-4551-b154-b9d4d5aa6b39",
            "type": "main",
            "index": 0
          }
        ],
        [
          {
            "node": "040addcf-4238-4e7a-a579-893eb4bca48c",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "040addcf-4238-4e7a-a579-893eb4bca48c": {
      "main": [
        [
          {
            "node": "6010e598-b0de-415b-b812-3dcbf656dd65",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "6010e598-b0de-415b-b812-3dcbf656dd65": {
      "main": [
        [
          {
            "node": "fabbaaf9-ec88-45eb-866d-e4a3f876a586",
            "type": "main",
            "index": 0
          }
        ]
      ]
    }
  }
}
Häufig gestellte Fragen

Wie verwende ich diesen Workflow?

Kopieren Sie den obigen JSON-Code, erstellen Sie einen neuen Workflow in Ihrer n8n-Instanz und wählen Sie "Aus JSON importieren". Fügen Sie die Konfiguration ein und passen Sie die Anmeldedaten nach Bedarf an.

Für welche Szenarien ist dieser Workflow geeignet?

Fortgeschritten - Engineering, Multimodales KI

Ist es kostenpflichtig?

Dieser Workflow ist völlig kostenlos. Beachten Sie jedoch, dass Drittanbieterdienste (wie OpenAI API), die im Workflow verwendet werden, möglicherweise kostenpflichtig sind.

Workflow-Informationen
Schwierigkeitsgrad
Fortgeschritten
Anzahl der Nodes13
Kategorie2
Node-Typen7
Schwierigkeitsbeschreibung

Für erfahrene Benutzer, mittelkomplexe Workflows mit 6-15 Nodes

Autor

Founder DataDrivenConstruction.io | AEC Tech Consultant & Automation Expert | Bridging Software and Construction

Externe Links
Auf n8n.io ansehen

Diesen Workflow teilen

Kategorien

Kategorien: 34