3D Indoor Scenario Construction Using Behavior-Constrained Energy Data
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Solution Overview
Problem
Current three-dimensional scenario modeling technologies fail to automatically construct indoor scenarios based on specific requirements, lacking the ability to incorporate behavior-constrained parameters effectively.
Innovation Solution
A method is developed to automatically construct three-dimensional indoor scenarios by determining a room's parameters and behavioral semantics, obtaining corresponding object categories, and generating a three-dimensional model based on these inputs, using a relation tree and energy data calculations to select appropriate layouts and models.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If automatic construction method is used, then construction efficiency is improved, but construction precision deteriorates
Solution Approach 1:
The system uses energy data calculation as a feedback mechanism to evaluate and select optimal layout schemes. By calculating energy data for different layout configurations and selecting the scheme with minimum energy data, the system ensures construction precision while maintaining automatic construction efficiency. The feedback loop validates that automatic construction meets requirement specifications.
Solution Approach 2:
The system changes parameters by incorporating behavior-constrained parameters and energy data parameters into the automatic construction process. By adjusting layout schemes based on energy data calculations and selecting configurations that minimize energy data, the system achieves both automatic construction efficiency and requirement precision simultaneously.
2Measurement precision
If behavior-constrained parameters are incorporated, then scenario accuracy is improved, but system complexity increases
Solution Approach 1:
The system segments the complex scenario construction process into distinct modules: requirement analysis, behavior semantics determination, energy data calculation, layout scheme selection, and model generation. This segmentation allows the system to handle behavior-constrained parameters systematically through dedicated modules, improving scenario accuracy while managing system complexity through modular architecture.
Solution Approach 2:
The system introduces energy data as an intermediary parameter that mediates between behavior-constrained requirements and layout configuration. By using energy data calculation as an intermediate evaluation step, the system translates complex behavioral requirements into quantifiable metrics, improving scenario accuracy while simplifying the overall system through a clear intermediate evaluation mechanism.
Data Source
AI summary
Provided is a method for automatic constructing a three-dimensional indoor scenario with behavior-constrained, including: determining a room, parameter of the room and a first behavioral semantics according to entered information; obtaining a corresponding first object category according to the first behavioral semantics; determining a corresponding first reference layout and a three-dimensional model of objects in the room according to the first object category and the parameter of the room; and directing and generating a three-dimensional indoor scenario in the room according to the first reference layout and the three-dimensional model.