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。
Link BIM elements to schedule activities for 4D simulation. Visualize construction sequence over time.
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, timedelta
from typing import Dict, Any, List, Optional
from dataclasses import dataclass, field
from enum import Enum
class LinkStatus(Enum):
LINKED = "linked"
UNLINKED = "unlinked"
PARTIAL = "partial"
@dataclass
class ScheduleActivity:
activity_id: str
activity_name: str
start_date: date
end_date: date
duration_days: int
wbs_code: str
predecessors: List[str] = field(default_factory=list)
@dataclass
class BIMElement:
element_id: str
element_name: str
category: str
level: str
zone: str
volume: float = 0
area: float = 0
@dataclass
class BIMScheduleLink:
link_id: str
activity_id: str
element_ids: List[str]
link_type: str # install, remove, temporary
status: LinkStatus
class BIMSchedule4D:
def __init__(self, project_name: str):
self.project_name = project_name
self.activities: Dict[str, ScheduleActivity] = {}
self.elements: Dict[str, BIMElement] = {}
self.links: Dict[str, BIMScheduleLink] = {}
self._link_counter = 0
def import_schedule(self, schedule_data: List[Dict[str, Any]]):
for act in schedule_data:
activity = ScheduleActivity(
activity_id=act['id'],
activity_name=act['name'],
start_date=act['start'],
end_date=act['end'],
duration_days=(act['end'] - act['start']).days,
wbs_code=act.get('wbs', ''),
predecessors=act.get('predecessors', [])
)
self.activities[activity.activity_id] = activity
def import_elements(self, element_data: List[Dict[str, Any]]):
for elem in element_data:
element = BIMElement(
element_id=elem['id'],
element_name=elem['name'],
category=elem['category'],
level=elem.get('level', ''),
zone=elem.get('zone', ''),
volume=elem.get('volume', 0),
area=elem.get('area', 0)
)
self.elements[element.element_id] = element
def create_link(self, activity_id: str, element_ids: List[str],
link_type: str = "install") -> BIMScheduleLink:
if activity_id not in self.activities:
return None
self._link_counter += 1
link_id = f"LNK-{self._link_counter:05d}"
# Verify elements exist
valid_elements = [eid for eid in element_ids if eid in self.elements]
status = LinkStatus.LINKED if valid_elements else LinkStatus.UNLINKED
if valid_elements and len(valid_elements) < len(element_ids):
status = LinkStatus.PARTIAL
link = BIMScheduleLink(
link_id=link_id,
activity_id=activity_id,
element_ids=valid_elements,
link_type=link_type,
status=status
)
self.links[link_id] = link
return link
def auto_link_by_level(self, level: str, activity_id: str):
"""Auto-link all elements on a level to an activity."""
level_elements = [e.element_id for e in self.elements.values()
if e.level == level]
if level_elements:
return self.create_link(activity_id, level_elements)
return None
def get_elements_for_date(self, target_date: date) -> List[BIMElement]:
"""Get elements that should be visible on a specific date."""
visible_elements = []
for link in self.links.values():
activity = self.activities.get(link.activity_id)
if activity and activity.start_date <= target_date <= activity.end_date:
for elem_id in link.element_ids:
if elem_id in self.elements:
visible_elements.append(self.elements[elem_id])
return visible_elements
def get_unlinked_elements(self) -> List[BIMElement]:
linked_ids = set()
for link in self.links.values():
linked_ids.update(link.element_ids)
return [e for e in self.elements.values() if e.element_id not in linked_ids]
def get_unlinked_activities(self) -> List[ScheduleActivity]:
linked_activities = {link.activity_id for link in self.links.values()}
return [a for a in self.activities.values() if a.activity_id not in linked_activities]
def get_link_summary(self) -> Dict[str, Any]:
total_elements = len(self.elements)
linked_elements = len(set(
eid for link in self.links.values() for eid in link.element_ids
))
return {
'total_activities': len(self.activities),
'total_elements': total_elements,
'linked_elements': linked_elements,
'unlinked_elements': total_elements - linked_elements,
'total_links': len(self.links),
'link_coverage': round(linked_elements / total_elements * 100, 1) if total_elements > 0 else 0
}
def export_links(self, output_path: str):
data = []
for link in self.links.values():
activity = self.activities.get(link.activity_id)
data.append({
'Link ID': link.link_id,
'Activity': activity.activity_name if activity else '',
'Start': activity.start_date if activity else None,
'End': activity.end_date if activity else None,
'Elements': len(link.element_ids),
'Type': link.link_type,
'Status': link.status.value
})
pd.DataFrame(data).to_excel(output_path, index=False)
bim4d = BIMSchedule4D("Office Tower")
# Import schedule
bim4d.import_schedule([
{'id': 'A100', 'name': 'Foundation', 'start': date(2024, 1, 1), 'end': date(2024, 2, 28)},
{'id': 'A200', 'name': 'Structure L1', 'start': date(2024, 3, 1), 'end': date(2024, 4, 30)}
])
# Import elements
bim4d.import_elements([
{'id': 'E001', 'name': 'Footing F1', 'category': 'Foundation', 'level': 'Foundation'},
{'id': 'E002', 'name': 'Column C1', 'category': 'Structure', 'level': 'Level 1'}
])
# Create links
bim4d.create_link('A100', ['E001'])
bim4d.create_link('A200', ['E002'])
summary = bim4d.get_link_summary()
print(f"Link coverage: {summary['link_coverage']}%")
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。
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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。
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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。