Garden landscape model establishment method and device based on data fusion technology
By collecting multi-source spatial information to construct a garden landscape model and using a multi-objective optimization algorithm to generate a Pareto optimal solution, the problems of strong subjectivity and low efficiency in garden landscape design are solved. This achieves multi-objective optimization of ecology and aesthetics and automated generation of design schemes, thereby improving design efficiency and accuracy.
Patent Information
- Application Number
- CN202610228892.3
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2026-02-26
- Publication Date
- 2026-06-09
AI Technical Summary
Existing landscape design relies on personal experience and lacks objective quantitative standards. The evaluation of the merits of design schemes is highly subjective, making it difficult to accurately reflect complex terrain and existing vegetation. Design adjustments are inefficient, and design, evaluation, and optimization are disconnected, failing to achieve multi-objective optimization of ecology and aesthetics.
By collecting multi-source spatial information, a garden landscape model is constructed, including the integration of site 3D point cloud data, semantic segmentation, individual vegetation segmentation and key parameter extraction. A multi-objective optimization mathematical model is established, and a non-dominated sorting genetic algorithm is applied to generate Pareto optimal solutions, thereby realizing the automated generation of design schemes and multi-objective collaborative optimization.
It improves the objectivity and accuracy of landscape design, enhances the efficiency of design scheme generation and optimization, provides an intuitive 3D interactive model, facilitates scheme review, and reduces modification costs.