Automated Building Model Simulation via Point Cloud Gaps
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Solution Overview
Problem
Traditional methods for calculating and simulating building models are time-consuming and prone to errors due to the manual creation and parameter assignment of architectural parts, leading to limited simulation accuracy.
Innovation Solution
A method and system for automatically simulating building models by defining space bodies and determining gaps between them, applying geometric rules to generate simulation parameters, and using scanning machines to create point clouds for input, allowing for automated simulation without explicit architectural element creation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual creation and parameter assignment of architectural parts is used, then simulation can be performed, but the process is time-consuming and prone to errors
Solution Approach 1:
The patent uses point cloud data (digital copies of the building) to automatically generate building models for simulation, eliminating the need for manual creation of architectural parts. The point cloud serves as a digital replica that can be directly processed to extract geometric information for simulation parameters.
Solution Approach 2:
The system performs self-service by automatically generating building models and assigning simulation parameters from point cloud data without human intervention. The automated model generation process extracts geometric information and calculates simulation parameters autonomously, reducing both time and error potential.
2Manufacturing precision
If manual creation of each architectural part is performed, then detailed building models can be created, but the process complexity increases
Solution Approach 1:
The patent extracts essential geometric information directly from point cloud data to create simplified building models that retain sufficient detail for simulation purposes. By taking out only the necessary geometric features needed for simulation rather than creating complete architectural details manually, the system maintains manufacturing precision while reducing process complexity.
Solution Approach 2:
The point cloud serves as a comprehensive digital copy of the building that contains all geometric information. Instead of manually recreating architectural details, the system uses this existing digital copy to automatically generate simulation models, maintaining detail accuracy while eliminating manual creation complexity.
3Extent of automation
If traditional manual methods are used for building model simulation, then simulation can be performed, but automation level remains low
Solution Approach 1:
The system achieves high automation by performing self-service operations where the software automatically processes point cloud data, generates building models, calculates simulation parameters, and executes simulations without human intervention. This self-service capability dramatically increases the extent of automation while maintaining ease of implementation through automated workflows.
Solution Approach 2:
The patent replaces the manual mechanical process of creating building models and assigning parameters with an automated computational system. The mechanical/manual operations are substituted by algorithmic processing of point cloud data, automatically generating models and calculating parameters through computational methods rather than human manual work.
Data Source
AI summary
Systems and methods for automatically simulating a building model. A method may include defining a plurality of space bodies, each of the plurality of space bodies representing a non-overlapping volume within a building. The method may also include determining a plurality of gaps between the plurality of space bodies. The method may further include obtaining a set of geometric rules that define simulation parameters as a function of the plurality of gaps. The method may further include generating a plurality of simulation parameters by evaluating the plurality of gaps against the set of geometric rules. The method may further include applying the simulation parameters to a sequence of simulation conditions to produce a simulation result.