Research On Artificial Intelligence Landscape Planning Assistant Decision System

With the arrival of the era of big data,landscape architecture has also ushered in new development.Many complex landscape problems that need to be solved in the past can be completed through artificial intelligence,but they need many algorithms and a large amount of data as support.Therefore,using big data and AI technology to conduct landscape architecture research has become a new direction.The topic of this article is the artificial intelligence garden planning assistance decision-making system,aiming to explore how to use artificial intelligence technology to optimize the planning and management of urban gardens,improve the quality of urban ecological environment and residents’ quality of life.The article first analyzes the current situation and problems of urban landscape planning,pointing out the limitations of traditional planning and management methods,such as insufficient plant species,inaccurate ecological control,incomplete maintenance planning,incomplete information collection,and incomplete planning considerations.With the development of technology,it has become possible to establish an artificial intelligence based garden planning auxiliary decision-making system.Starting from the practical problems faced in landscape planning and design,derive algorithms and derive the data required to solve the problems.Then,this article introduces the architecture and module design of an auxiliary decision-making system.The system architecture includes front-end interfaces,back-end data processing,and algorithm modules,achieving full coverage of urban landscape planning and management through collaborative work between the front and back ends.Among them,the algorithm module covers plant and geographic information data mining,machine learning,and expert systems.We have designed a decision support database framework,proposed data collection pathways and sources,as well as data screening and preprocessing logic.This article also delves into the key module of the system-the planning and decision-making module.This module is the core of the entire system,responsible for predicting,evaluating,and optimizing landscape planning.In order to achieve this goal,this article proposes a planning and decision-making method based on machine learning and multi-objective optimization,which can ensure that the economic benefits of garden planning are improved within constraints.Finally,the application prospects and future development goals of the system are prospected.The artificial intelligence garden planning assistant decision-making system proposed in this paper will become an important tool for future urban garden planning and management,making the planning scheme more practical,adaptable,species diversity and sustainable,while giving consideration to cost control and later maintenance.Achieve high efficiency,low cost,easy maintenance,and stable ecology.By combining various technologies such as Beidou positioning technology,geographic information technology,image recognition technology,and cluster robot technology,massive images and data are obtained for computation.Provide visual data and professional algorithm services,assist individuals or organizations in landscape architecture planning and management,and make contributions to building a beautiful city and improving people’s quality of life.