bim-consistency-checker

这段内容是审核时保存的快照。外部来源才是完整且最新的版本。

---
name: "bim-consistency-checker"
description: "Check BIM model consistency: naming conventions, parameter completeness, spatial relationships, and data integrity across model elements."
homepage: "https://datadrivenconstruction.io"
metadata: {"openclaw": {"emoji": "🔎", "os": ["darwin", "linux", "win32"], "homepage": "https://datadrivenconstruction.io", "requires": {"bins": ["python3"]}}}
---
# BIM Consistency Checker for Construction

## Overview

Validate BIM model consistency including naming conventions, parameter completeness, spatial relationships, classification compliance, and cross-reference integrity.

## Business Case

BIM consistency checking ensures:
- **Data Quality**: Complete and accurate model data
- **Interoperability**: Models work across platforms
- **Coordination**: Consistent information for all trades
- **Deliverable Compliance**: Meet BIM execution plan requirements

## Technical Implementation

```python
from dataclasses import dataclass, field
from typing import List, Dict, Any, Optional, Set
from enum import Enum
import re

class CheckSeverity(Enum):
    ERROR = "error"
    WARNING = "warning"
    INFO = "info"

class CheckCategory(Enum):
    NAMING = "naming"
    PARAMETERS = "parameters"
    SPATIAL = "spatial"
    CLASSIFICATION = "classification"
    GEOMETRY = "geometry"
    RELATIONSHIPS = "relationships"

@dataclass
class ConsistencyIssue:
    element_id: str
    element_name: str
    category: CheckCategory
    severity: CheckSeverity
    rule: str
    message: str
    suggestion: str = ""

@dataclass
class ConsistencyReport:
    model_name: str
    total_elements: int
    elements_checked: int
    issues: List[ConsistencyIssue]
    issues_by_category: Dict[str, int]
    issues_by_severity: Dict[str, int]
    pass_rate: float

@dataclass
class NamingConvention:
    element_type: str
    pattern: str
    description: str
    examples: List[str]

class BIMConsistencyChecker:
    """Check BIM model consistency and data quality."""

    # Default naming conventions
    DEFAULT_NAMING_RULES = [
        NamingConvention(
            element_type='Level',
            pattern=r'^(L|Level)\s*\d{1,2}$|^(B|Basement)\s*\d?$|^(R|Roof)$',
            description='Levels should follow L01, Level 1, B1, Roof pattern',
            examples=['L01', 'Level 1', 'B1', 'Roof']
        ),
        NamingConvention(
            element_type='Grid',
            pattern=r'^[A-Z]$|^\d{1,2}$|^[A-Z]\.\d$',
            description='Grids should be single letters (A-Z) or numbers',
            examples=['A', '1', 'A.1']
        ),
        NamingConvention(
            element_type='Room',
            pattern=r'^\d{3,4}[A-Z]?\s*-?\s*.+',
            description='Rooms should have number and name (101 - Office)',
            examples=['101 - Office', '201A Conference']
        ),
        NamingConvention(
            element_type='Wall',
            pattern=r'^(INT|EXT|CW|CMU|GYP)[-_].+',
            description='Walls should have type prefix',
            examples=['INT-GYP-1HR', 'EXT-CMU-8IN']
        ),
        NamingConvention(
            element_type='Door',
            pattern=r'^[A-Z]?\d{2,3}[A-Z]?$',
            description='Doors should follow type numbering',
            examples=['101', 'A101', '101A']
        ),
    ]

    # Required parameters by element type
    REQUIRED_PARAMETERS = {
        'Wall': ['Fire Rating', 'Function', 'Structural'],
        'Door': ['Fire Rating', 'Width', 'Height', 'Frame Material'],
        'Room': ['Name', 'Number', 'Area', 'Department'],
        'Window': ['Width', 'Height', 'Glass Type'],
        'Floor': ['Structural', 'Fire Rating'],
        'Ceiling': ['Height', 'Type'],
        'Column': ['Structural Material', 'Shape'],
        'Beam': ['Structural Material', 'Size'],
    }

    def __init__(self):
        self.naming_rules: List[NamingConvention] = list(self.DEFAULT_NAMING_RULES)
        self.required_params: Dict[str, List[str]] = dict(self.REQUIRED_PARAMETERS)