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。
Create 4D construction simulations by linking BIM models with project schedules.
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, datetime
from typing import Dict, Any, List
from dataclasses import dataclass, field
from enum import Enum
class SimulationStatus(Enum):
SETUP = "setup"
READY = "ready"
RUNNING = "running"
COMPLETE = "complete"
@dataclass
class TimeSlice:
slice_date: date
visible_elements: List[str]
active_activities: List[str]
completed_activities: List[str]
@dataclass
class Simulation4D:
simulation_id: str
name: str
start_date: date
end_date: date
interval_days: int
status: SimulationStatus
time_slices: List[TimeSlice] = field(default_factory=list)
class BIMSchedule4DSimulation:
def __init__(self, project_name: str):
self.project_name = project_name
self.elements: Dict[str, Dict[str, Any]] = {}
self.activities: Dict[str, Dict[str, Any]] = {}
self.links: Dict[str, List[str]] = {} # activity_id: [element_ids]
self.simulations: Dict[str, Simulation4D] = {}
def add_element(self, element_id: str, name: str, category: str, level: str):
self.elements[element_id] = {
'id': element_id, 'name': name, 'category': category, 'level': level
}
def add_activity(self, activity_id: str, name: str, start: date, end: date):
self.activities[activity_id] = {
'id': activity_id, 'name': name, 'start': start, 'end': end
}
def link_elements(self, activity_id: str, element_ids: List[str]):
self.links[activity_id] = element_ids
def create_simulation(self, name: str, start: date, end: date,
interval_days: int = 7) -> Simulation4D:
sim_id = f"SIM-{len(self.simulations) + 1:03d}"
simulation = Simulation4D(
simulation_id=sim_id,
name=name,
start_date=start,
end_date=end,
interval_days=interval_days,
status=SimulationStatus.SETUP
)
self.simulations[sim_id] = simulation
return simulation
def generate_time_slices(self, sim_id: str):
if sim_id not in self.simulations:
return
sim = self.simulations[sim_id]
sim.time_slices = []
current = sim.start_date
while current <= sim.end_date:
visible = []
active = []
completed = []
for act_id, act in self.activities.items():
if act['end'] < current:
completed.append(act_id)
if act_id in self.links:
visible.extend(self.links[act_id])
elif act['start'] <= current <= act['end']:
active.append(act_id)
if act_id in self.links:
visible.extend(self.links[act_id])
slice = TimeSlice(
slice_date=current,
visible_elements=list(set(visible)),
active_activities=active,
completed_activities=completed
)
sim.time_slices.append(slice)
from datetime import timedelta
current += timedelta(days=sim.interval_days)
sim.status = SimulationStatus.READY
def get_slice_at_date(self, sim_id: str, target_date: date) -> TimeSlice:
if sim_id not in self.simulations:
return None
sim = self.simulations[sim_id]
for slice in sim.time_slices:
if slice.slice_date == target_date:
return slice
return None
def export_simulation(self, sim_id: str, output_path: str):
if sim_id not in self.simulations:
return
sim = self.simulations[sim_id]
data = [{
'Date': s.slice_date,
'Visible Elements': len(s.visible_elements),
'Active Activities': len(s.active_activities),
'Completed': len(s.completed_activities)
} for s in sim.time_slices]
pd.DataFrame(data).to_excel(output_path, index=False)
sim = BIMSchedule4DSimulation("Office Tower")
sim.add_element("E001", "Footing", "Foundation", "B1")
sim.add_activity("A100", "Foundation", date(2024, 1, 1), date(2024, 2, 28))
sim.link_elements("A100", ["E001"])
simulation = sim.create_simulation("Construction Sequence", date(2024, 1, 1), date(2024, 12, 31))
sim.generate_time_slices(simulation.simulation_id)
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。