Parametric Design of Quasi-Natural Waterscape Gardens Based on Big Data Technology

Abstract

In order to better design the water scenes of garden, the natural water scenes of garden parameters are designed by combining the big data technology, the water scenes of garden generation rules are collected by the pseudo-natural principle, and the garden landscape parameters are designed by combining the regular production characteristics with the big data technology. In order to ensure the rationality of the principle landscape design, the pseudo-natural water scenes of garden parameters are standardized, and the standard parameters are input into the Grasshopper auxiliary simulation software, so that the optimal design scheme of the pseudo-natural dynamic correlation water scenes of garden view is automatically generated. Finally, through experiments, it is proved that the landscape simulation effect of pseudo-natural water scenes of garden parametric design based on big data technology is more satisfactory than that of traditional design simulation results.