Building Information Model Dangerous Zone Detection
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Solution Overview
Problem
Existing building information modeling systems fail to effectively identify and highlight dangerous zones in construction sites that pose a risk of workers falling from heights or falling objects, which are critical for ensuring worker safety during the construction process.
Innovation Solution
A method that analyzes a building information model to identify candidate edges, eliminates non-dangerous edges based on predefined thresholds and protections, and marks remaining edges as dangerous for emphasis in a presentation, thereby automatically evaluating and highlighting areas requiring protection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If building information models are used to represent construction progress, then the model accuracy and detail level can be improved, but the complexity of identifying dangerous zones manually increases
Solution Approach 1:
The system enables the building information model to automatically identify dangerous zones through built-in analysis capabilities. The model self-evaluates by analyzing building objects, their edges, and spatial relationships without requiring external manual intervention, thus resolving the contradiction between model detail and identification complexity
Solution Approach 2:
The patent replaces manual mechanical analysis of dangerous zones with automated computational algorithms. The system uses computer-based analysis to process building model data, identify candidate edges, and determine dangerous zones automatically, substituting human effort with computational power to handle complex model analysis
2Reliability
If all edges are analyzed to identify dangerous zones, then the completeness of safety identification is improved, but the time and computational resources required increase
Solution Approach 1:
The patent segments the analysis process into distinct stages: identifying candidate edges from building objects, filtering non-dangerous edges using elimination rules, and confirming dangerous zones from remaining edges. This segmentation allows systematic comprehensive analysis while managing computational complexity through structured processing steps
Solution Approach 2:
The system performs preliminary identification of candidate edges from building objects before conducting the full dangerous zone analysis. By pre-processing the model data to extract relevant edges and applying elimination rules in advance, the system reduces the scope of detailed analysis required, saving time while maintaining completeness
Data Source
AI summary
Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for identifying zones where protections should be installed to prevent people and materials from falling off edges of the building. The system analyzes a building model and building objects completed before a given time, identifies edges of interest for the building objects, determines whether these edges, or their portions, are dangerous, and provides this information to a user.