Create 4D construction simulations by linking BIM elements to project schedules. Generate time-based visualizations, sequence analysis, and construction phasing with Gantt integration.
日本語の概要は準備中です。原文の説明を表示しています。
Manage project closeout activities. Track completion of documentation, warranties, and final inspections.
インストールする前に、エージェントに与えられる指示の中身を確認できます。
import pandas as pd
from datetime import date
from typing import Dict, Any, List, Optional
from dataclasses import dataclass, field
from enum import Enum
class ChecklistCategory(Enum):
DOCUMENTATION = "documentation"
FINANCIAL = "financial"
INSPECTIONS = "inspections"
TRAINING = "training"
WARRANTIES = "warranties"
PUNCHLIST = "punchlist"
TURNOVER = "turnover"
class ItemStatus(Enum):
NOT_STARTED = "not_started"
IN_PROGRESS = "in_progress"
COMPLETE = "complete"
NOT_APPLICABLE = "not_applicable"
@dataclass
class CloseoutItem:
item_id: str
description: str
category: ChecklistCategory
responsible_party: str
due_date: date
status: ItemStatus
completed_date: Optional[date] = None
notes: str = ""
attachments: List[str] = field(default_factory=list)
class ProjectCloseoutChecklist:
def __init__(self, project_name: str, substantial_completion: date):
self.project_name = project_name
self.substantial_completion = substantial_completion
self.items: Dict[str, CloseoutItem] = {}
self._load_standard_items()
def _load_standard_items(self):
standard = [
("Documentation", ChecklistCategory.DOCUMENTATION, [
"As-built drawings", "O&M manuals", "Attic stock",
"Keying schedule", "Equipment list"
]),
("Financial", ChecklistCategory.FINANCIAL, [
"Final payment application", "Release of liens",
"Consent of surety", "Final change orders"
]),
("Inspections", ChecklistCategory.INSPECTIONS, [
"Final building inspection", "Fire marshal inspection",
"Elevator inspection", "Certificate of Occupancy"
]),
("Training", ChecklistCategory.TRAINING, [
"HVAC system training", "Fire alarm training",
"Security system training", "BAS training"
]),
("Warranties", ChecklistCategory.WARRANTIES, [
"Roofing warranty", "HVAC warranty", "Elevator warranty",
"General contractor warranty"
])
]
counter = 0
for category_name, category, items in standard:
for desc in items:
counter += 1
item_id = f"CLO-{counter:03d}"
self.items[item_id] = CloseoutItem(
item_id=item_id,
description=desc,
category=category,
responsible_party="Contractor",
due_date=self.substantial_completion,
status=ItemStatus.NOT_STARTED
)
def add_item(self, description: str, category: ChecklistCategory,
responsible_party: str, due_date: date) -> CloseoutItem:
item_id = f"CLO-{len(self.items) + 1:03d}"
item = CloseoutItem(
item_id=item_id,
description=description,
category=category,
responsible_party=responsible_party,
due_date=due_date,
status=ItemStatus.NOT_STARTED
)
self.items[item_id] = item
return item
def update_status(self, item_id: str, status: ItemStatus, notes: str = ""):
if item_id in self.items:
self.items[item_id].status = status
if status == ItemStatus.COMPLETE:
self.items[item_id].completed_date = date.today()
if notes:
self.items[item_id].notes = notes
def get_completion_percentage(self) -> float:
applicable = [i for i in self.items.values()
if i.status != ItemStatus.NOT_APPLICABLE]
complete = [i for i in applicable if i.status == ItemStatus.COMPLETE]
return (len(complete) / len(applicable) * 100) if applicable else 0
def get_outstanding_items(self) -> List[CloseoutItem]:
return [i for i in self.items.values()
if i.status in [ItemStatus.NOT_STARTED, ItemStatus.IN_PROGRESS]]
def get_summary_by_category(self) -> Dict[str, Dict[str, int]]:
summary = {}
for item in self.items.values():
cat = item.category.value
if cat not in summary:
summary[cat] = {'total': 0, 'complete': 0, 'outstanding': 0}
summary[cat]['total'] += 1
if item.status == ItemStatus.COMPLETE:
summary[cat]['complete'] += 1
elif item.status != ItemStatus.NOT_APPLICABLE:
summary[cat]['outstanding'] += 1
return summary
def export_checklist(self, output_path: str):
data = [{
'ID': i.item_id,
'Description': i.description,
'Category': i.category.value,
'Responsible': i.responsible_party,
'Due': i.due_date,
'Status': i.status.value,
'Completed': i.completed_date,
'Notes': i.notes
} for i in self.items.values()]
pd.DataFrame(data).to_excel(output_path, index=False)
checklist = ProjectCloseoutChecklist("Office Tower", date(2024, 12, 1))
# Update item status
checklist.update_status("CLO-001", ItemStatus.COMPLETE, "Received from architect")
# Check progress
print(f"Completion: {checklist.get_completion_percentage():.1f}%")
outstanding = checklist.get_outstanding_items()
print(f"Outstanding items: {len(outstanding)}")
まだレビューはありません。使ってみた感想をお寄せください。
概要と使いどころ
Create 4D construction simulations by linking BIM elements to project schedules. Generate time-based visualizations, sequence analysis, and construction phasing with Gantt integration.
日本語の概要は準備中です。原文の説明を表示しています。
Analyze 5000+ IFC and Revit projects at scale for patterns, benchmarks, and insights. Big data analysis for construction.
日本語の概要は準備中です。原文の説明を表示しています。
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.
日本語の概要は準備中です。原文の説明を表示しています。
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.
日本語の概要は準備中です。原文の説明を表示しています。
Create Apache Airflow DAGs for construction data pipelines. Orchestrate ETL, validation, and reporting workflows.
日本語の概要は準備中です。原文の説明を表示しています。
Automate as-built documentation and digital handover for construction. Compile project records, generate O&M manuals, create asset databases, and ensure complete project closeout.
日本語の概要は準備中です。原文の説明を表示しています。