BIM Infrastructure Modeling with Flexibility Attributes
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Solution Overview
Problem
Current methods for managing conflicts between digital objects in building infrastructure projects require manual intervention, lacking an efficient automated solution.
Innovation Solution
A method of digitally modeling infrastructure with flexibility attributes that allows for automatic detection and resolution of conflicts by adjusting object positions, sizes, or types based on computed flexibility parameters, such as position, dimension, cost, and time, using a computer program to merge and manage multiple digital models.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual conflict management methods are used between digital models, then flexibility in handling individual conflicts is maintained, but productivity and time efficiency deteriorate due to extensive manual intervention required
Solution Approach 1:
The system enables automatic self-resolution of conflicts by computing flexibility attributes for each object and autonomously determining resolution strategies without requiring manual intervention. The computer program automatically detects conflicts, evaluates flexibility attributes, and resolves conflicts by adjusting object parameters based on computed values.
Solution Approach 2:
The invention introduces flexibility attributes as new parameters that quantify how much an object can be modified to resolve conflicts. By computing these parameters and using them to guide automatic resolution, the system changes the state of objects systematically rather than through manual decision-making processes.
2Productivity
If automated conflict resolution is implemented, then productivity and time efficiency improve, but device complexity increases due to the need for computing flexibility attributes and managing multiple parameters
Solution Approach 1:
The flexibility attribute computation serves multiple functions: it quantifies object modifiability, guides conflict resolution strategies, and enables automatic adjustment of various object parameters (position, dimension, type). This single computed attribute supports multiple resolution approaches without requiring separate complex systems for each function.
Solution Approach 2:
The system performs preliminary computation of flexibility attributes for all objects before conflicts occur or before resolution is needed. This pre-computation stores essential information about object modifiability, so when conflicts arise, the resolution process can proceed efficiently using pre-analyzed data rather than requiring complex real-time analysis.
3Extent of automation
If flexibility attributes are computed and stored for all objects, then automatic conflict resolution capability is improved, but loss of information increases due to the additional data requirements and processing overhead
Solution Approach 1:
The invention extracts only the essential flexibility information needed for conflict resolution from the full object data. By computing a specific flexibility attribute that captures the key modifiability characteristics of each object, the system avoids processing and storing unnecessary detailed information while still enabling effective automatic resolution.
Data Source
AI summary
The invention is directed to a method of digitally modeling in two, three or more dimensions an infrastructure (2.1, 2.2, 2.3, 2.4), comprising using digital two, three, four, five or more dimensional objects; and attributing at least one flexibility attribute (8.2, 8.3) to at least one of the objects (4, 6, 10). Several digital two, three or more dimensions infrastructure models (2.1, 2.2, 2.3, 2.4) are merged and managed by automatically detecting (14) potential conflict(s) between objects (6, 10) of the models (2.1, 2.2, 2.3, 2.4) and by automatically searching (16) for at least one possible solution to each of the at least one conflict, based on the flexibility attribute(s) (8.2, 8.3) of the objects (6, 10) related to the conflict.