A photovoltaic support structure design optimization method and system
By constructing a parametric three-dimensional geometric model, generating multi-condition load combinations, performing automated finite element simulation and multi-constraint verification, and combining multi-objective optimization and closed-loop feedback mechanisms, the problem of fragmented photovoltaic bracket design process was solved, achieving efficient and reliable structural optimization, adapting to multiple working conditions, and reducing steel consumption and cost.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- TIANJIN TEDA METAL PRODUCTS CO LTD
- Filing Date
- 2026-04-03
- Publication Date
- 2026-06-19
AI Technical Summary
The existing photovoltaic support design process is fragmented and lacks an integrated closed-loop mechanism, making it difficult to coordinate and optimize economic indicators such as steel consumption and cost under multiple working conditions and multiple constraints. Furthermore, it lacks engineering practicality and flexibility.
A parametric 3D geometric model is constructed, multi-condition load combinations are generated, automated finite element simulation is performed, multi-constraint specification verification is carried out, multi-objective collaborative optimization is implemented, a closed-loop feedback verification mechanism is established, cross-sectional parameters are optimized through the improved non-dominated sorting genetic algorithm NSGA-III, and CFD wind field simulation and terrain adaptive modeling are combined to provide a visual interactive interface.
It achieves integrated design throughout the entire process, improves the reliability and flexibility of the design, significantly reduces steel consumption, lowers initial investment, adapts to complex environments, and provides a wide range of optimization options.
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