With the rapid development of artificial intelligence (AI) technology, its application in urban park landscape design has gradually attracted attention. This paper systematically discusses the application of AI in the whole life cycle of urban park landscape design, including demand analysis and data-driven decision-making in the early stage of design, intelligent generation and optimization in the middle stage of design and intelligent operation and maintenance and ecological monitoring in the late stage of design. Through case study, the application path of AI technology in a smart park is analyzed, and the advantages of AI in improving the scientific design, optimizing resource allocation and enhancing ecological benefits are demonstrated. At the same time, in view of the technical, social, ecological and economic challenges, the corresponding countermeasures are put forward, which provide theoretical support and practical guidance for the deep integration of AI and landscape design and promote the improvement of the quality of urban public space.

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Research on the Application of Artificial Intelligence in Landscape Design of Urban Parks

  • Huishan Wang,
  • Yanmin Liu

摘要

With the rapid development of artificial intelligence (AI) technology, its application in urban park landscape design has gradually attracted attention. This paper systematically discusses the application of AI in the whole life cycle of urban park landscape design, including demand analysis and data-driven decision-making in the early stage of design, intelligent generation and optimization in the middle stage of design and intelligent operation and maintenance and ecological monitoring in the late stage of design. Through case study, the application path of AI technology in a smart park is analyzed, and the advantages of AI in improving the scientific design, optimizing resource allocation and enhancing ecological benefits are demonstrated. At the same time, in view of the technical, social, ecological and economic challenges, the corresponding countermeasures are put forward, which provide theoretical support and practical guidance for the deep integration of AI and landscape design and promote the improvement of the quality of urban public space.