CAD-BIM 공사량 추출 HTML 보고서 생성기
고급
이것은Engineering분야의자동화 워크플로우로, 18개의 노드를 포함합니다.주로 If, Set, Function, ManualTrigger, ExecuteCommand 등의 노드를 사용하며. Revit 모델에서 인터랙티브 월드 월드 엔지니어링 HTML 보고서 생성
사전 요구사항
- •특별한 사전 요구사항 없이 가져와 바로 사용 가능합니다
사용된 노드 (18)
카테고리
워크플로우 미리보기
노드 연결 관계를 시각적으로 표시하며, 확대/축소 및 이동을 지원합니다
워크플로우 내보내기
다음 JSON 구성을 복사하여 n8n에 가져오면 이 워크플로우를 사용할 수 있습니다
{
"id": "Hta5FU7DD54QKxUK",
"meta": {
"instanceId": "5ba872643a08525d217680a9bbff49bd9855bd3fe8ccba4458b363643e613bee"
},
"name": "CAD-BIM Quantity TekeOff HTML Report Generator",
"tags": [],
"nodes": [
{
"id": "fe089e9a-bb16-440b-900d-21c5cf782286",
"name": "시작 - 클릭하여 시작",
"type": "n8n-nodes-base.manualTrigger",
"position": [
-1780,
580
],
"parameters": {},
"typeVersion": 1
},
{
"id": "e56f9ca7-214a-4c90-a6fa-657d6c875e26",
"name": "설정 - 파일 경로 정의",
"type": "n8n-nodes-base.set",
"position": [
-1580,
580
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "9cbd4ec9-df24-41e8-b47a-720a4cdb733b",
"name": "path_to_revit_converter",
"type": "string",
"value": "C:\\DDC\\DDC_Converter\\Release\\Community\\DDC_Converter_Revit_Community\\DDC_Converter_Revit_Community\\RvtExporter.exe"
},
{
"id": "aa834467-80fb-476a-bac1-6728478834f0",
"name": "revit_file",
"type": "string",
"value": "C:\\DDC\\DDC_Converter\\Release\\Community\\DDC_Converter_Revit_Community\\RVT_sample\\2023 racbasicsampleproject.rvt"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "5493ccd6-3126-4a7a-a2fa-ca286a69935b",
"name": "추출 - Revit 변환기 실행",
"type": "n8n-nodes-base.executeCommand",
"position": [
-1380,
580
],
"parameters": {
"command": "=\"{{$json[\"path_to_revit_converter\"]}}\" \"{{$json[\"revit_file\"]}}\""
},
"typeVersion": 1,
"continueOnFail": true
},
{
"id": "433af16e-b5b4-4b02-989b-7c140afa52b7",
"name": "확인 - 추출 성공 여부 확인",
"type": "n8n-nodes-base.if",
"position": [
-1180,
580
],
"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": "de432702-44fb-4cf0-90f0-78fb50206721",
"name": "성공 - Excel 파일명 생성",
"type": "n8n-nodes-base.set",
"position": [
-980,
580
],
"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": "419aaa9e-7edc-43b4-a666-2700de939884",
"name": "오류 - 오류 내용 표시",
"type": "n8n-nodes-base.set",
"position": [
-980,
380
],
"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": "673bbba9-1537-4852-8d4e-b67c4991253c",
"name": "추출 - 디스크에서 Excel 파일 읽기",
"type": "n8n-nodes-base.readBinaryFile",
"position": [
-780,
580
],
"parameters": {
"filePath": "={{ $json[\"xlsx_filename\"] }}"
},
"typeVersion": 1
},
{
"id": "c4b05b5b-6d0b-4ab8-89fb-a54fe86899d9",
"name": "추출 - Excel 데이터 파싱",
"type": "n8n-nodes-base.spreadsheetFile",
"position": [
-580,
580
],
"parameters": {
"options": {}
},
"typeVersion": 1
},
{
"id": "5d2bdce5-75d2-40a2-b10b-fd443a982118",
"name": "변환 - OST_Walls만 필터링",
"type": "n8n-nodes-base.if",
"position": [
-380,
580
],
"parameters": {
"conditions": {
"string": [
{
"value1": "={{ $json[\"Category : String\"] }}",
"value2": "OST_Walls"
}
]
}
},
"typeVersion": 1
},
{
"id": "5c2ac481-8340-4221-afdb-a3c7ca520abb",
"name": "변환 - 벽체 데이터 정제",
"type": "n8n-nodes-base.set",
"position": [
-180,
580
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "wall-type-name",
"name": "type_name",
"type": "string",
"value": "={{ $json[\"Type Name : String\"] || \"Unknown Type\" }}"
},
{
"id": "wall-volume",
"name": "volume",
"type": "number",
"value": "={{ parseFloat($json[\"Volume : Double\"]) || 0 }}"
},
{
"id": "processed-date",
"name": "processed_date",
"type": "string",
"value": "={{ new Date().toISOString() }}"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "74b0b328-820d-4f85-bc8a-c6bb6d983d97",
"name": "변환 - 유형별 그룹화 및 체적 합계",
"type": "n8n-nodes-base.function",
"position": [
40,
580
],
"parameters": {
"functionCode": "// Group walls by Type Name and sum Volume\n// Using only built-in JavaScript functions\n\n// Get all wall elements\nconst allWalls = $input.all().map(item => item.json);\n\n// Group by type_name using reduce\nconst grouped = allWalls.reduce((acc, wall) => {\n const typeName = wall.type_name;\n if (!acc[typeName]) {\n acc[typeName] = [];\n }\n acc[typeName].push(wall);\n return acc;\n}, {});\n\n// Create grouping results\nconst groupedResults = Object.keys(grouped).map(typeName => {\n const walls = grouped[typeName];\n const totalVolume = walls.reduce((sum, wall) => sum + (wall.volume || 0), 0);\n const count = walls.length;\n \n return {\n type_name: typeName,\n wall_count: count,\n total_volume: Math.round(totalVolume * 1000) / 1000, // round to 3 decimal places\n average_volume: count > 0 ? Math.round((totalVolume / count) * 1000) / 1000 : 0,\n processed_date: new Date().toISOString()\n };\n});\n\n// Sort by total volume descending\nconst sortedResults = groupedResults.sort((a, b) => b.total_volume - a.total_volume);\n\nreturn sortedResults.map(item => ({ json: item }));"
},
"typeVersion": 1
},
{
"id": "1ab073ee-de46-4224-a4b1-cee2e92dfe20",
"name": "변환 - HTML 보고서 생성",
"type": "n8n-nodes-base.function",
"position": [
240,
580
],
"parameters": {
"functionCode": "// Generate HTML report from grouped wall data\nconst groupedData = $input.all().map(item => item.json);\n\n// Create summary statistics\nconst totalWallTypes = groupedData.length;\nconst totalWalls = groupedData.reduce((sum, item) => sum + item.wall_count, 0);\nconst totalVolume = groupedData.reduce((sum, item) => sum + item.total_volume, 0);\nconst avgVolumePerWall = totalWalls > 0 ? Math.round((totalVolume / totalWalls) * 1000) / 1000 : 0;\n\nconst sourceFile = $node[\"Setup - Define file paths\"].json[\"revit_file\"];\nconst processedDate = new Date().toLocaleString();\n\n// Generate wall type cards HTML\nconst wallTypeCards = groupedData.map((wallType, index) => {\n const percentage = totalVolume > 0 ? (wallType.total_volume / totalVolume) * 100 : 0;\n return `\n <div class=\"wall-type-card\" style=\"animation-delay: ${index * 0.1}s;\">\n <div class=\"wall-type-header\">\n <div class=\"wall-type-name\">${wallType.type_name}</div>\n <div class=\"wall-count\">${wallType.wall_count} walls</div>\n </div>\n <div class=\"wall-metrics\">\n <div class=\"metric\">\n <div class=\"metric-label\">Total Volume</div>\n <div class=\"metric-value\">${wallType.total_volume.toFixed(3)} m³</div>\n </div>\n <div class=\"metric\">\n <div class=\"metric-label\">Average Volume</div>\n <div class=\"metric-value\">${wallType.average_volume.toFixed(3)} m³</div>\n </div>\n <div class=\"metric\">\n <div class=\"metric-label\">Percentage</div>\n <div class=\"metric-value\">${percentage.toFixed(1)}%</div>\n </div>\n </div>\n <div class=\"volume-bar\">\n <div class=\"volume-fill\" style=\"width: ${percentage}%;\"></div>\n </div>\n </div>`;\n}).join('');\n\n// Generate complete HTML\nconst htmlContent = `<!DOCTYPE html>\n<html lang=\"en\">\n<head>\n <meta charset=\"UTF-8\">\n <meta name=\"viewport\" content=\"width=device-width, initial-scale=1.0\">\n <title>Quantity Take Off Report</title>\n <style>\n * {\n margin: 0;\n padding: 0;\n box-sizing: border-box;\n }\n\n body {\n font-family: 'Segoe UI', Tahoma, Geneva, Verdana, sans-serif;\n background: linear-gradient(135deg, #667eea 0%, #764ba2 100%);\n min-height: 100vh;\n padding: 20px;\n }\n\n .container {\n max-width: 1000px;\n margin: 0 auto;\n background: rgba(255, 255, 255, 0.95);\n border-radius: 20px;\n box-shadow: 0 20px 40px rgba(0, 0, 0, 0.1);\n overflow: hidden;\n backdrop-filter: blur(10px);\n }\n\n .header {\n background: linear-gradient(135deg, #2c3e50 0%, #3498db 100%);\n color: white;\n padding: 30px;\n text-align: center;\n }\n\n .header h1 {\n font-size: 2.2rem;\n margin-bottom: 8px;\n }\n\n .header p {\n font-size: 1rem;\n opacity: 0.9;\n }\n\n .summary-cards {\n display: grid;\n grid-template-columns: repeat(auto-fit, minmax(200px, 1fr));\n gap: 15px;\n padding: 30px;\n background: #f8f9fa;\n }\n\n .summary-card {\n background: white;\n padding: 20px;\n border-radius: 12px;\n text-align: center;\n box-shadow: 0 8px 20px rgba(0, 0, 0, 0.1);\n transition: transform 0.3s ease;\n border-left: 4px solid;\n }\n\n .summary-card:hover {\n transform: translateY(-3px);\n }\n\n .summary-card.types { border-left-color: #e74c3c; }\n .summary-card.walls { border-left-color: #3498db; }\n .summary-card.volume { border-left-color: #2ecc71; }\n .summary-card.average { border-left-color: #f39c12; }\n\n .summary-card h3 {\n color: #2c3e50;\n font-size: 0.8rem;\n text-transform: uppercase;\n letter-spacing: 1px;\n margin-bottom: 8px;\n }\n\n .summary-card .value {\n font-size: 1.8rem;\n font-weight: bold;\n color: #2c3e50;\n margin-bottom: 4px;\n }\n\n .summary-card .unit {\n color: #7f8c8d;\n font-size: 0.8rem;\n }\n\n .content {\n padding: 30px;\n }\n\n .section-title {\n font-size: 1.5rem;\n color: #2c3e50;\n margin-bottom: 20px;\n text-align: center;\n position: relative;\n }\n\n .section-title::after {\n content: '';\n position: absolute;\n bottom: -8px;\n left: 50%;\n transform: translateX(-50%);\n width: 60px;\n height: 3px;\n background: linear-gradient(135deg, #3498db, #e74c3c);\n border-radius: 2px;\n }\n\n .wall-types-grid {\n display: grid;\n gap: 15px;\n margin-top: 20px;\n }\n\n .wall-type-card {\n background: white;\n border-radius: 12px;\n padding: 20px;\n box-shadow: 0 6px 15px rgba(0, 0, 0, 0.1);\n transition: all 0.3s ease;\n border-left: 4px solid #3498db;\n }\n\n .wall-type-card:hover {\n transform: translateY(-2px);\n box-shadow: 0 8px 20px rgba(0, 0, 0, 0.15);\n }\n\n .wall-type-header {\n display: flex;\n justify-content: space-between;\n align-items: center;\n margin-bottom: 15px;\n }\n\n .wall-type-name {\n font-size: 1.1rem;\n font-weight: bold;\n color: #2c3e50;\n }\n\n .wall-count {\n background: linear-gradient(135deg, #3498db, #2980b9);\n color: white;\n padding: 6px 12px;\n border-radius: 15px;\n font-size: 0.8rem;\n font-weight: bold;\n }\n\n .wall-metrics {\n display: grid;\n grid-template-columns: repeat(auto-fit, minmax(120px, 1fr));\n gap: 10px;\n }\n\n .metric {\n text-align: center;\n padding: 12px;\n background: #f8f9fa;\n border-radius: 8px;\n }\n\n .metric-label {\n font-size: 0.7rem;\n color: #6c757d;\n text-transform: uppercase;\n letter-spacing: 0.5px;\n margin-bottom: 4px;\n }\n\n .metric-value {\n font-size: 1rem;\n font-weight: bold;\n color: #2c3e50;\n }\n\n .volume-bar {\n width: 100%;\n height: 6px;\n background: #e9ecef;\n border-radius: 3px;\n margin-top: 12px;\n overflow: hidden;\n }\n\n .volume-fill {\n height: 100%;\n background: linear-gradient(90deg, #3498db, #2ecc71);\n border-radius: 3px;\n transition: width 0.8s ease;\n }\n\n .footer {\n background: #2c3e50;\n color: white;\n padding: 20px;\n text-align: center;\n font-size: 0.9rem;\n }\n\n .footer-info {\n display: grid;\n grid-template-columns: repeat(auto-fit, minmax(180px, 1fr));\n gap: 15px;\n margin-bottom: 15px;\n }\n\n .footer-item strong {\n display: block;\n margin-bottom: 4px;\n color: #3498db;\n }\n\n @media (max-width: 768px) {\n .header h1 { font-size: 1.8rem; }\n .summary-cards { grid-template-columns: repeat(auto-fit, minmax(150px, 1fr)); padding: 20px; }\n .content { padding: 20px; }\n .wall-type-header { flex-direction: column; align-items: flex-start; gap: 8px; }\n }\n </style>\n</head>\n<body>\n <div class=\"container\">\n <div class=\"header\">\n <h1>📊 Quantity Take Off Report</h1>\n <p>Wall analysis and volume calculations from Revit data</p>\n </div>\n\n <div class=\"summary-cards\">\n <div class=\"summary-card types\">\n <h3>Wall Types</h3>\n <div class=\"value\">${totalWallTypes}</div>\n <div class=\"unit\">Different Types</div>\n </div>\n <div class=\"summary-card walls\">\n <h3>Total Walls</h3>\n <div class=\"value\">${totalWalls}</div>\n <div class=\"unit\">Wall Elements</div>\n </div>\n <div class=\"summary-card volume\">\n <h3>Total Volume</h3>\n <div class=\"value\">${totalVolume.toFixed(3)}</div>\n <div class=\"unit\">m³</div>\n </div>\n <div class=\"summary-card average\">\n <h3>Average Volume</h3>\n <div class=\"value\">${avgVolumePerWall.toFixed(3)}</div>\n <div class=\"unit\">m³ per wall</div>\n </div>\n </div>\n\n <div class=\"content\">\n <h2 class=\"section-title\">Wall Types Breakdown</h2>\n <div class=\"wall-types-grid\">\n ${wallTypeCards}\n </div>\n </div>\n\n <div class=\"footer\">\n <div class=\"footer-info\">\n <div class=\"footer-item\">\n <strong>Source File:</strong>\n ${sourceFile.split('\\\\').pop()}\n </div>\n <div class=\"footer-item\">\n <strong>Processed Date:</strong>\n ${processedDate}\n </div>\n <div class=\"footer-item\">\n <strong>Generated By:</strong>\n n8n Workflow Pipeline\n </div>\n </div>\n <p style=\"margin-top: 15px; opacity: 0.7;\">\n Data extracted from Revit and processed through automated ETL pipeline.\n </p>\n </div>\n </div>\n</body>\n</html>`;\n\n// Create filename based on source file\nconst sourceBasename = sourceFile.replace(/\\.[^/.]+$/, \"\"); // Remove extension\nconst outputFilename = sourceBasename + \"_quantity_takeoff_report.html\";\n\n// Create proper binary data structure for n8n writeBinaryFile node\nconst binaryData = {\n data: Buffer.from(htmlContent, 'utf8'),\n mimeType: 'text/html',\n fileName: outputFilename.split('\\\\').pop() // Get just filename without path\n};\n\n// Return data with proper binary structure\nreturn [{\n json: {\n filename: outputFilename,\n summary: {\n total_wall_types: totalWallTypes,\n total_walls: totalWalls,\n total_volume: Math.round(totalVolume * 1000) / 1000,\n average_volume_per_wall: avgVolumePerWall,\n processed_at: new Date().toISOString(),\n source_file: sourceFile\n },\n grouped_data: groupedData,\n message: `Generated HTML report for ${totalWallTypes} wall types (${totalWalls} total walls)`,\n htmlContent: htmlContent\n },\n binary: {\n data: binaryData\n }\n}];"
},
"typeVersion": 1
},
{
"id": "a33f33de-dc6d-4fe7-bf27-86156906827b",
"name": "로드 - HTML 보고서 저장",
"type": "n8n-nodes-base.writeBinaryFile",
"position": [
460,
580
],
"parameters": {
"options": {},
"fileName": "={{ $json.filename }}"
},
"typeVersion": 1
},
{
"id": "feb89705-054c-446a-940b-60ba849fcdfe",
"name": "성공 - 최종 결과",
"type": "n8n-nodes-base.set",
"position": [
660,
580
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "success-message",
"name": "success",
"type": "boolean",
"value": true
},
{
"id": "final-message",
"name": "final_message",
"type": "string",
"value": "={{ $node[\"Transform - Generate HTML Report\"].json.message }}. File saved as: {{ $node[\"Transform - Generate HTML Report\"].json.filename }}"
},
{
"id": "summary-data",
"name": "summary",
"type": "object",
"value": "={{ $node[\"Transform - Generate HTML Report\"].json.summary }}"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "d7749dcd-349f-455c-aeb6-3cbfeccaf26b",
"name": "추출 단계 참고",
"type": "n8n-nodes-base.stickyNote",
"position": [
-1840,
240
],
"parameters": {
"color": 6,
"width": 1400,
"height": 520,
"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": "eaa62f9b-20cf-4aa6-afd9-c51dab8d3dd4",
"name": "변환 단계 참고",
"type": "n8n-nodes-base.stickyNote",
"position": [
-420,
240
],
"parameters": {
"color": 4,
"width": 800,
"height": 520,
"content": "## 🔷 TRANSFORM Phase\n\n**T**ransform raw data:\n1. Filter ONLY records with 'Category : String' = 'OST_Walls'\n2. Clean data: extract ID, Type Name, Volume\n3. Group by 'Type Name : String'\n4. Sum 'Volume : Double' for each group\n5. Calculate statistics per group"
},
"typeVersion": 1
},
{
"id": "fb894369-4cb2-42a2-abf8-e0c61ba8493c",
"name": "로드 단계 참고",
"type": "n8n-nodes-base.stickyNote",
"position": [
400,
240
],
"parameters": {
"width": 520,
"height": 520,
"content": "## 🔷 LOAD Phase\n\n**L**oad processed data as HTML report:\n1. Generate beautiful HTML report with embedded CSS\n2. Include summary statistics cards\n3. Display grouped data with visual progress bars\n4. Save as HTML file for easy viewing\n5. Results include:\n - Interactive dashboard design\n - Summary statistics\n - Grouped data by Type Name\n - Visual volume comparisons\n - Professional styling"
},
"typeVersion": 1
},
{
"id": "bd19674e-a352-48fc-8c06-88ad296e000f",
"name": "메모지",
"type": "n8n-nodes-base.stickyNote",
"position": [
-1860,
60
],
"parameters": {
"color": 7,
"width": 2800,
"height": 720,
"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
}
],
"active": false,
"pinData": {
"Start - Click to begin": [
{
"json": {}
}
]
},
"settings": {
"executionOrder": "v1"
},
"versionId": "f166c01d-5ae5-418e-af24-d11c81839f53",
"connections": {
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}자주 묻는 질문
이 워크플로우를 어떻게 사용하나요?
위의 JSON 구성 코드를 복사하여 n8n 인스턴스에서 새 워크플로우를 생성하고 "JSON에서 가져오기"를 선택한 후, 구성을 붙여넣고 필요에 따라 인증 설정을 수정하세요.
이 워크플로우는 어떤 시나리오에 적합한가요?
고급 - 엔지니어링
유료인가요?
이 워크플로우는 완전히 무료이며 직접 가져와 사용할 수 있습니다. 다만, 워크플로우에서 사용하는 타사 서비스(예: OpenAI API)는 사용자 직접 비용을 지불해야 할 수 있습니다.
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