Proceedings of the 13th EAI International Conference on Mobile Multimedia Communications, Mobimedia 2020, 27-28 August 2020, Cyberspace

Research Article

Design of multi-agent based decision system for building spatial planning

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  • @INPROCEEDINGS{10.4108/eai.27-8-2020.2294611,
        author={lin  LIU and Jia Jie  YU},
        title={Design of multi-agent based decision system for building spatial planning},
        proceedings={Proceedings of the 13th EAI International Conference on Mobile Multimedia Communications, Mobimedia 2020, 27-28 August 2020, Cyberspace},
        publisher={EAI},
        proceedings_a={MOBIMEDIA},
        year={2020},
        month={11},
        keywords={multi-agent; architectural space planning; decision making; public participation in},
        doi={10.4108/eai.27-8-2020.2294611}
    }
    
  • lin LIU
    Jia Jie YU
    Year: 2020
    Design of multi-agent based decision system for building spatial planning
    MOBIMEDIA
    EAI
    DOI: 10.4108/eai.27-8-2020.2294611
lin LIU,*, Jia Jie YU1
  • 1: Department of architecture and art,ChongQing JianZhu College
*Contact email: yj159951000@163.com

Abstract

In view of the low efficiency of traditional system planning, a multi-agent based decision-making system for building space planning is proposed. The spatial characteristics of traditional villages in southeastern chongqing are analyzed and the overall structure is designed. B/S three-layer architecture is adopted, MapObject functional components are selected, and web browsers are set up to facilitate information retrieval. According to the actual situation, the Web server is divided into application hierarchy or scale scale, server structure and hardware type. Design the spatial decision-making information system by using various data and information, and process the business and basic information of the enterprise according to the information processing system of public participation. Two kinds of distributed database systems are designed to accommodate different databases for different purposes and improve the performance of the whole system. Under the natural environment, agricultural production and living conditions, design the spatial planning decision plan. According to the experimental results, the maximum planning efficiency of the system can reach 97%, providing a guarantee for building safety construction.