n8n_8_Revit_IFC_DWG转换_提取阶段_解析XLSX
中级
这是一个Engineering, Multimodal AI领域的自动化工作流,包含 13 个节点。主要使用 If, Set, ManualTrigger, ExecuteCommand, ReadBinaryFile 等节点。 提取并解析Revit模型数据至结构化Excel格式
前置要求
- •无特殊前置要求,导入即可使用
工作流预览
可视化展示节点连接关系,支持缩放和平移
导出工作流
复制以下 JSON 配置到 n8n 导入,即可使用此工作流
{
"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 - Click to begin",
"type": "n8n-nodes-base.manualTrigger",
"position": [
-656,
720
],
"parameters": {},
"typeVersion": 1
},
{
"id": "26b97603-966f-4f03-a3bb-3e0d7a99bb2f",
"name": "Setup - Define file paths",
"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 - Run Revit converter",
"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 - Did extraction succeed?",
"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 - Create Excel filename",
"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 - Show what went wrong",
"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 - Read Excel file from disk",
"type": "n8n-nodes-base.readBinaryFile",
"position": [
416,
736
],
"parameters": {
"filePath": "={{ $json[\"xlsx_filename\"] }}"
},
"typeVersion": 1
},
{
"id": "fabbaaf9-ec88-45eb-866d-e4a3f876a586",
"name": "Extract - Parse Excel to data",
"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": {
"Start - Click to begin": {
"main": [
[
{
"node": "Setup - Define file paths",
"type": "main",
"index": 0
}
]
]
},
"On the standard 3D View": {
"main": [
[],
[]
]
},
"Setup - Define file paths": {
"main": [
[
{
"node": "Extract - Run Revit converter",
"type": "main",
"index": 0
}
]
]
},
"Extract - Parse Excel to data": {
"main": [
[
{
"node": "On the standard 3D View",
"type": "main",
"index": 0
}
]
]
},
"Extract - Run Revit converter": {
"main": [
[
{
"node": "Check - Did extraction succeed?",
"type": "main",
"index": 0
}
]
]
},
"Check - Did extraction succeed?": {
"main": [
[
{
"node": "Error - Show what went wrong",
"type": "main",
"index": 0
}
],
[
{
"node": "Success - Create Excel filename",
"type": "main",
"index": 0
}
]
]
},
"Success - Create Excel filename": {
"main": [
[
{
"node": "Extract - Read Excel file from disk",
"type": "main",
"index": 0
}
]
]
},
"Extract - Read Excel file from disk": {
"main": [
[
{
"node": "Extract - Parse Excel to data",
"type": "main",
"index": 0
}
]
]
}
}
}常见问题
如何使用这个工作流?
复制上方的 JSON 配置代码,在您的 n8n 实例中创建新工作流并选择「从 JSON 导入」,粘贴配置后根据需要修改凭证设置即可。
这个工作流适合什么场景?
中级 - 工程, 多模态 AI
需要付费吗?
本工作流完全免费,您可以直接导入使用。但请注意,工作流中使用的第三方服务(如 OpenAI API)可能需要您自行付费。
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工作流信息
难度等级
中级
节点数量13
分类2
节点类型7
作者
Artem Boiko
@datadrivenconstructionFounder DataDrivenConstruction.io | AEC Tech Consultant & Automation Expert | Bridging Software and Construction
外部链接
在 n8n.io 查看 →
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