3D Printed Building Models for Daylight Simulation
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Solution Overview
Problem
Current daylight performance simulation methods, particularly physical model simulations, struggle to accurately represent real geometric properties of buildings and optical properties of materials, and fail to accurately reflect real sky luminance distribution, leading to inaccuracies in daylight simulation.
Innovation Solution
A method that collects regional sky luminance data to create a database, maps this data to an artificial sky lamp system, and uses 3D printing to fabricate scaled physical models of buildings, integrating real geometric and optical properties for high-precision daylight performance simulation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If standard physical model simulation methods are used, then the simulation can be performed with conventional equipment, but the accuracy is limited because existing artificial sky cannot accurately reflect real sky luminance distribution
Solution Approach 1:
The patent transforms the static artificial sky system into a dynamic one by enabling real-time adjustment of luminance distribution. The control system allows the artificial sky to dynamically adapt to different sky conditions (clear sky, overcast sky, partial cloud) by adjusting the intensity and distribution of light sources, thus accurately reflecting real sky luminance distribution while maintaining simulation capability.
Solution Approach 2:
The patent changes the parameters of the artificial sky system by introducing controllable light sources with adjustable intensity and spectral characteristics. By modifying luminance parameters (intensity, distribution pattern, spectral composition), the system can represent various real sky conditions, thereby improving both accuracy and adaptability simultaneously.
2Manufacturing precision
If conventional scaled model making technology is used, then the model can be fabricated with standard methods, but there are technical difficulties for simulation of non-standard models and accurate representation of building geometry
Solution Approach 1:
The patent replaces conventional mechanical model-making methods (manual crafting, traditional molding) with digital fabrication technology. By using 3D scanning to capture building geometry and 3D printing to fabricate models, the system achieves high manufacturing precision for both standard and non-standard models while simplifying the fabrication process.
Solution Approach 2:
The patent changes the manufacturing approach by introducing digital parameters (3D scan data, digital models) that can be directly translated into physical models through 3D printing. This allows accurate representation of complex building geometries without the technical difficulties associated with conventional methods for non-standard models.
3Manufacturing precision
If standard model forms are used, then the models can be produced with conventional techniques, but the models have limitations in representing optical properties such as reflectivity and transmittance
Solution Approach 1:
The patent replaces conventional material selection and surface treatment methods with digital control of material properties in 3D printing. By using programmable 3D printing processes, the system can precisely control optical properties (reflectivity, transmittance) of model materials without requiring complex manual fabrication techniques or specialized materials.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach significantly improves simulation accuracy by reducing average error from 19.3% to 0.8% and increasing correlation and determination coefficients, while enhancing efficiency through digital modeling and data collection methods.
Implementation Method 1
use 3D printing technology to fabricate a scaled physical model of the building based on the building geometry and the physical properties of the building materials
Data Source
AI summary
The present invention provides a method for simulating daylight performance of buildings based on regional daylight climate data. The method comprises the steps of: establishing a regional sky luminance distribution database from measured data; mapping sky luminance data to an artificial sky lamp group; using a 3D printing machine to fabricate a scaled physical model based on real parameters of the building to be simulated; and using the scaled physical model in the artificial sky integrated with regional sky luminance distribution data to make the daylight performance simulation. This method can achieve high-precision simulation of the daylight performance of buildings by using regional sky daylight climate data with a highly accurate physical model of the building.