Create 4D construction simulations by linking BIM elements to project schedules. Generate time-based visualizations, sequence analysis, and construction phasing with Gantt integration.
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Automate daily construction report generation using n8n workflow automation.
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실행 점수 미검증
설치 방법 보기설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.
Daily reports are critical but time-consuming. This n8n workflow automates collection of site data from multiple sources and generates formatted daily reports.
[Site Data Sources] → [n8n Webhook] → [Data Processing] → [Report Generation] → [Distribution]
{
"nodes": [
{
"name": "Daily Schedule",
"type": "n8n-nodes-base.scheduleTrigger",
"parameters": {
"rule": {
"interval": [{"field": "cronExpression", "expression": "0 17 * * 1-5"}]
}
}
},
{
"name": "Webhook Input",
"type": "n8n-nodes-base.webhook",
"parameters": {
"httpMethod": "POST",
"path": "daily-report-data"
}
}
]
}
{
"nodes": [
{
"name": "Get Weather Data",
"type": "n8n-nodes-base.httpRequest",
"parameters": {
"url": "https://api.openweathermap.org/data/2.5/weather",
"qs": {
"lat": "={{$json.site_lat}}",
"lon": "={{$json.site_lon}}",
"appid": "={{$env.WEATHER_API_KEY}}"
}
}
},
{
"name": "Get Site Photos",
"type": "n8n-nodes-base.httpRequest",
"parameters": {
"url": "={{$env.PROCORE_API}}/projects/{{$json.project_id}}/images",
"authentication": "oAuth2"
}
},
{
"name": "Get Labor Data",
"type": "n8n-nodes-base.spreadsheetFile",
"parameters": {
"operation": "read",
"fileFormat": "xlsx"
}
}
]
}
{
"name": "Process Report Data",
"type": "n8n-nodes-base.code",
"parameters": {
"jsCode": "const items = $input.all();\n\nconst weather = items[0].json;\nconst photos = items[1].json;\nconst labor = items[2].json;\n\nconst report = {\n date: new Date().toISOString().split('T')[0],\n project: $('Webhook Input').first().json.project_name,\n weather: {\n condition: weather.weather[0].main,\n temp_high: Math.round(weather.main.temp_max - 273.15),\n temp_low: Math.round(weather.main.temp_min - 273.15)\n },\n labor_summary: {\n total_workers: labor.reduce((sum, l) => sum + l.workers, 0),\n total_hours: labor.reduce((sum, l) => sum + l.hours, 0)\n },\n photo_count: photos.length\n};\n\nreturn [{json: report}];"
}
}
{
"name": "Generate PDF Report",
"type": "n8n-nodes-base.httpRequest",
"parameters": {
"method": "POST",
"url": "={{$env.PDF_SERVICE_URL}}/generate",
"body": {
"template": "daily_report",
"data": "={{$json}}"
}
}
}
{
"nodes": [
{
"name": "Send Email",
"type": "n8n-nodes-base.emailSend",
"parameters": {
"toEmail": "={{$json.distribution_list}}",
"subject": "Daily Report - {{$json.project}} - {{$json.date}}",
"attachments": "={{$node['Generate PDF Report'].json.file}}"
}
},
{
"name": "Upload to SharePoint",
"type": "n8n-nodes-base.microsoftSharePoint",
"parameters": {
"operation": "upload",
"siteId": "={{$env.SHAREPOINT_SITE}}",
"folderId": "/Daily Reports/{{$json.date}}"
}
}
]
}
import requests
from datetime import date
def trigger_daily_report(project_data: dict, webhook_url: str):
"""Trigger n8n daily report workflow."""
payload = {
"project_id": project_data['id'],
"project_name": project_data['name'],
"site_lat": project_data['latitude'],
"site_lon": project_data['longitude'],
"distribution_list": project_data['stakeholder_emails']
}
response = requests.post(webhook_url, json=payload)
return response.status_code == 200
def format_labor_data(labor_entries: list) -> list:
"""Format labor data for n8n processing."""
formatted = []
for entry in labor_entries:
formatted.append({
'trade': entry['trade'],
'company': entry['company'],
'workers': entry['worker_count'],
'hours': entry['total_hours'],
'activities': entry.get('activities', [])
})
return formatted
WEATHER_API_KEYPROCORE_APIPDF_SERVICE_URLSHAREPOINT_SITE아직 리뷰가 없습니다. 사용해 본 소감을 남겨 주세요.
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Create 4D construction simulations by linking BIM elements to project schedules. Generate time-based visualizations, sequence analysis, and construction phasing with Gantt integration.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Analyze 5000+ IFC and Revit projects at scale for patterns, benchmarks, and insights. Big data analysis for construction.
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Check construction AI systems against the EU AI Act (Regulation 2024/1689): classify risk of estimation, scheduling, CV and agent tools, document transparency, keep human oversight. Use when deploying or auditing AI in construction.
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Orchestrate multiple AI agents for construction workflows: estimator, scheduler, document, QA and safety agents coordinated by a supervisor agent, with human checkpoints. Use when automating end-to-end project processes with agentic AI.
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Create Apache Airflow DAGs for construction data pipelines. Orchestrate ETL, validation, and reporting workflows.
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Automate as-built documentation and digital handover for construction. Compile project records, generate O&M manuals, create asset databases, and ensure complete project closeout.
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