Overview
- Skill Key
- datadrivenconstruction/bim-qto
- Author
- datadrivenconstruction
- Source Repo
- openclaw/skills
- Version
- -
- Source Path
- skills/datadrivenconstruction/bim-qto
- Latest Commit SHA
- 54cea192fc4a4fe2a25d197a4e022f385058f63e
Extract quantities from BIM/CAD data for cost estimation. Group by type, level, zone. Generate QTO reports.
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直接复制以下提示词,发送给你的 AI 助手即可完成安装。
请先检查是否已安装 SkillHub 商店,若未安装,请根据 https://skillhub-1388575217.cos.ap-guangzhou.myqcloud.com/install/skillhub.md 安装 SkillHub 商店,然后安装 bim-qto 技能。 若已安装,则直接安装 bim-qto 技能。
# BIM Quantity Takeoff
## Overview
Quantity Takeoff (QTO) extracts measurable quantities from BIM models. This skill processes BIM exports to generate grouped quantity reports for cost estimation.
## Python Implementation
```python
import pandas as pd
import numpy as np
from typing import Dict, Any, List, Optional, Tuple
from dataclasses import dataclass, field
from enum import Enum
class QTOUnit(Enum):
"""Quantity takeoff measurement units."""
COUNT = "ea"
LENGTH = "m"
AREA = "m2"
VOLUME = "m3"
WEIGHT = "kg"
LINEAR_FOOT = "lf"
SQUARE_FOOT = "sf"
CUBIC_YARD = "cy"
@dataclass
class QTOItem:
"""Single QTO line item."""
category: str
type_name: str
description: str
quantity: float
unit: str
level: Optional[str] = None
material: Optional[str] = None
element_count: int = 0
@dataclass
class QTOReport:
"""Complete QTO report."""
project_name: str
items: List[QTOItem]
total_elements: int
categories: int
generated_date: str
class BIMQuantityTakeoff:
"""Extract quantities from BIM data."""
# Column mappings for different BIM exports
COLUMN_MAPPINGS = {
'type': ['Type Name', 'TypeName', 'type_name', 'Family and Type', 'IfcType'],
'category': ['Category', 'category', 'IfcClass', 'Element Category'],
'level': ['Level', 'level', 'Building Storey', 'BuildingStorey', 'Floor'],
'volume': ['Volume', 'volume', 'Volume (m³)', 'Qty_Volume'],
'area': ['Area', 'area', 'Surface Area', 'Area (m²)', 'Qty_Area'],
'length': ['Length', 'length', 'Length (m)', 'Qty_Length'],
'count': ['Count', 'count', 'Quantity', 'ElementCount'],
'material': ['Material', 'material', 'Structural Material', 'MaterialName']
}
def __init__(self, df: pd.DataFrame):
"""Initialize with BIM data DataFrame."""
self.df = df
self.column_map =...
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