基于数字孪生技术的城市绿地生境评估与植物群落适应性设计OA

[Objective]The study is to address the complex adaptive issues occurring throughout the entire life cycle of traditional plant landscapes in urban green space,with the aim to provide precise parametric design methods for matching plants with suitable habitats and constructing stable communities.[Method]A digital landscape platform is used for habitat zoning and real-time monitoring and investigation of habitat factors.In consideration of the analysis of plant family,genus and species,division of cluster types,and biodiversity analysis,the coupling relationship between plant community composition and habitat factors is revealed.[Result]Based on the digital platform and process,a habitat-adaptive plant community structure model and habitat assessment database are constructed.The habitat types are classified,and the composition and structure of plant communities in 7 types of habitats are clarified,thereby forming 12 adaptive plant community structure models in different habitat zones;the design parameters are intelligently corrected and specific strategies are proposed,thus forming the habitat assessment database.[Conclusion]A closed-loop design process of four links,i.e.,"habitat assessment-plant design and planning-construction and planting-management and maintenance"is formed through the integration of feedback mechanisms and digital processes.The constructed habitat assessment database and adaptive plant community structure model can form a digital twin method for the coupling of multi-objective entity design of site habitat factors and plants with back-end intelligent correction.The future research will focus on how to increase the experimental sample quantity in the digital twin application scenarios so as to circumvent the randomness and limitations of experiments.