Solar Potential Evaluation via Low-Altitude Photogrammetry
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Solution Overview
Problem
Traditional methods for evaluating solar energy utilization potential in urban high-density areas are inefficient due to reliance on subjective judgments and high-cost, complex LiDAR point cloud data processing, which struggles to accurately depict building facades and calculate solar radiation distribution.
Innovation Solution
An evaluation method using low-altitude photogrammetry that generates three-dimensional point cloud data from remote sensing images, filters building data, reconstructs building geometry models, and simulates solar radiation distribution to assess solar energy potential, leveraging consumer-grade drones and advanced image processing techniques.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If LiDAR point cloud data are used for solar energy evaluation, then measurement precision is improved, but device complexity and cost increase
Solution Approach 1:
The patent uses photogrammetry to create a digital copy (3D point cloud model) of the building facades, which serves as a simplified representation that retains the essential geometric information needed for solar radiation calculation without requiring complex LiDAR data processing
Solution Approach 2:
The patent employs consumer-grade photogrammetry technology instead of expensive LiDAR systems, using readily available imaging equipment and software to achieve sufficient measurement precision at lower cost and complexity
2Measurement precision
If LiDAR point cloud data are used for solar energy evaluation, then measurement precision is improved, but loss of time increases
Solution Approach 1:
The patent performs preliminary 3D reconstruction and geometric modeling using photogrammetry before solar radiation calculation, creating a ready-to-use building model that eliminates the need for complex post-processing of LiDAR data and enables direct solar energy assessment
3Device complexity
If traditional manual measurement methods are used, then device complexity is reduced, but productivity decreases
Solution Approach 1:
The patent replaces manual measurement methods with automated photogrammetry-based 3D reconstruction and solar radiation simulation, using computational algorithms to perform calculations that would be tedious and error-prone when done manually, thereby significantly improving productivity while keeping the overall system relatively simple
4Device complexity
If DSM grid calculation is used for solar radiation, then device complexity is reduced, but measurement precision worsens
Solution Approach 1:
The patent applies different levels of geometric detail to different parts of the building model, using 3D point cloud data to accurately represent complex facade geometries where precision is critical for solar radiation calculation, while using simpler representations for areas where high precision is less important
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 method reduces data acquisition costs, enhances automation, and provides accurate, comprehensive assessments of solar energy utilization potential by efficiently capturing and analyzing solar radiation on building surfaces, overcoming limitations of traditional methods.
Implementation Method 1
an evaluation method of solar energy utilization potential in urban high-density areas based on low-altitude photogrammetry, comprising the following steps: Step 1, the low-altitude remote sensing image data of urban high-density area are obtained, and the three-dimensional point cloud data are generated through image processing
Implementation Method 2
through the computer simulation of the singular geometric model of buildings in the urban high-density area, the distribution information of solar radiation on the surface of buildings is obtained
Data Source
AI summary
The present invention proposes an evaluation method of solar energy utilization potential in urban high-density areas based on low-altitude photogrammetry, comprising the following steps: low-altitude data acquisition using drones, acquisition of three-dimensional point cloud data, screening of building subject points, selection of seed region, region growth and point cloud patch segmentation, three-dimensional reconstruction, building geometry model, solar radiation simulation and solar energy utilization potential assessment steps. The invention utilizes low-altitude photogrammetry to obtain point cloud data in a high-density area of the city, and performs semantic division and three-dimensional reconstruction on the point cloud data through a parameterization tool to obtain a singular geometric model. Therefore, the solar radiation and dynamic change obtained from the roof and facade of the building are simulated and analyzed in the same platform.