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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Manage as-built documentation for project closeout. Track drawing markups, coordinate updates, and verify completeness.
中文简介正在准备中。当前显示原文说明。
查看安装方法安装前可以查看交给 AI 代理的指令内容。
As-built documentation is often incomplete:
Systematic as-built documentation tracking with drawing markup management, completeness verification, and handover preparation.
import pandas as pd
from datetime import datetime, date
from typing import Dict, Any, List, Optional
from dataclasses import dataclass, field
from enum import Enum
class DocumentType(Enum):
DRAWING = "drawing"
SPECIFICATION = "specification"
SUBMITTAL = "submittal"
MANUAL = "manual"
WARRANTY = "warranty"
CERTIFICATE = "certificate"
class MarkupStatus(Enum):
PENDING = "pending"
IN_REVIEW = "in_review"
APPROVED = "approved"
INCORPORATED = "incorporated"
class DocumentStatus(Enum):
DRAFT = "draft"
UNDER_REVIEW = "under_review"
APPROVED = "approved"
FINAL = "final"
@dataclass
class Markup:
markup_id: str
description: str
location: str
marked_by: str
marked_date: date
status: MarkupStatus
cloud_reference: str = ""
notes: str = ""
@dataclass
class AsBuiltDocument:
document_id: str
document_number: str
title: str
document_type: DocumentType
discipline: str
revision: str
status: DocumentStatus
original_file: str
as_built_file: str
markups: List[Markup] = field(default_factory=list)
last_updated: Optional[date] = None
verified_by: str = ""
verified_date: Optional[date] = None
@property
def is_complete(self) -> bool:
return self.status == DocumentStatus.FINAL and all(
m.status == MarkupStatus.INCORPORATED for m in self.markups
)
class AsBuiltDocumentManager:
"""Manage as-built documentation."""
def __init__(self, project_name: str):
self.project_name = project_name
self.documents: Dict[str, AsBuiltDocument] = {}
self._markup_counter = 0
def register_document(self, document_number: str, title: str,
document_type: DocumentType, discipline: str,
original_file: str, revision: str = "0") -> AsBuiltDocument:
doc_id = f"DOC-{len(self.documents) + 1:04d}"
doc = AsBuiltDocument(
document_id=doc_id,
document_number=document_number,
title=title,
document_type=document_type,
discipline=discipline,
revision=revision,
status=DocumentStatus.DRAFT,
original_file=original_file,
as_built_file=""
)
self.documents[doc_id] = doc
return doc
def add_markup(self, doc_id: str, description: str, location: str,
marked_by: str, cloud_reference: str = "") -> Markup:
if doc_id not in self.documents:
raise ValueError(f"Document {doc_id} not found")
self._markup_counter += 1
markup = Markup(
markup_id=f"MKP-{self._markup_counter:05d}",
description=description,
location=location,
marked_by=marked_by,
marked_date=date.today(),
status=MarkupStatus.PENDING,
cloud_reference=cloud_reference
)
self.documents[doc_id].markups.append(markup)
return markup
def update_markup_status(self, doc_id: str, markup_id: str, status: MarkupStatus):
if doc_id in self.documents:
for markup in self.documents[doc_id].markups:
if markup.markup_id == markup_id:
markup.status = status
break
def upload_as_built(self, doc_id: str, file_path: str, new_revision: str = None):
if doc_id not in self.documents:
return
doc = self.documents[doc_id]
doc.as_built_file = file_path
doc.last_updated = date.today()
if new_revision:
doc.revision = new_revision
doc.status = DocumentStatus.UNDER_REVIEW
def verify_document(self, doc_id: str, verified_by: str):
if doc_id not in self.documents:
return
doc = self.documents[doc_id]
doc.verified_by = verified_by
doc.verified_date = date.today()
doc.status = DocumentStatus.FINAL
def get_completeness_report(self) -> Dict[str, Any]:
total = len(self.documents)
complete = sum(1 for d in self.documents.values() if d.is_complete)
pending_markups = sum(
len([m for m in d.markups if m.status != MarkupStatus.INCORPORATED])
for d in self.documents.values()
)
by_discipline = {}
for doc in self.documents.values():
if doc.discipline not in by_discipline:
by_discipline[doc.discipline] = {'total': 0, 'complete': 0}
by_discipline[doc.discipline]['total'] += 1
if doc.is_complete:
by_discipline[doc.discipline]['complete'] += 1
return {
'project': self.project_name,
'total_documents': total,
'complete': complete,
'completion_percent': round(complete / total * 100, 1) if total > 0 else 0,
'pending_markups': pending_markups,
'by_discipline': by_discipline
}
def get_incomplete_documents(self) -> List[AsBuiltDocument]:
return [d for d in self.documents.values() if not d.is_complete]
def export_register(self, output_path: str):
with pd.ExcelWriter(output_path, engine='openpyxl') as writer:
# Document register
doc_data = [{
'ID': d.document_id,
'Number': d.document_number,
'Title': d.title,
'Type': d.document_type.value,
'Discipline': d.discipline,
'Revision': d.revision,
'Status': d.status.value,
'Complete': d.is_complete,
'Markups': len(d.markups),
'Verified By': d.verified_by
} for d in self.documents.values()]
pd.DataFrame(doc_data).to_excel(writer, sheet_name='Register', index=False)
# Markups
markup_data = []
for doc in self.documents.values():
for m in doc.markups:
markup_data.append({
'Document': doc.document_number,
'Markup ID': m.markup_id,
'Description': m.description,
'Location': m.location,
'Marked By': m.marked_by,
'Status': m.status.value
})
if markup_data:
pd.DataFrame(markup_data).to_excel(writer, sheet_name='Markups', index=False)
return output_path
manager = AsBuiltDocumentManager("Office Tower")
# Register document
doc = manager.register_document(
document_number="A-101",
title="Floor Plan Level 1",
document_type=DocumentType.DRAWING,
discipline="Architectural",
original_file="drawings/A-101.pdf"
)
# Add field markup
markup = manager.add_markup(
doc.document_id,
description="Wall moved 6 inches south",
location="Grid B-3",
marked_by="Site Superintendent"
)
# Upload as-built
manager.upload_as_built(doc.document_id, "as-built/A-101-AB.pdf", "AB")
# Verify
manager.verify_document(doc.document_id, "Project Manager")
# Check completeness
report = manager.get_completeness_report()
print(f"Completion: {report['completion_percent']}%")
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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.
中文简介正在准备中。当前显示原文说明。
Analyze 5000+ IFC and Revit projects at scale for patterns, benchmarks, and insights. Big data analysis for construction.
中文简介正在准备中。当前显示原文说明。
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.
中文简介正在准备中。当前显示原文说明。
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.
中文简介正在准备中。当前显示原文说明。
Create Apache Airflow DAGs for construction data pipelines. Orchestrate ETL, validation, and reporting workflows.
中文简介正在准备中。当前显示原文说明。
Automate as-built documentation and digital handover for construction. Compile project records, generate O&M manuals, create asset databases, and ensure complete project closeout.
中文简介正在准备中。当前显示原文说明。