| Urban space planning is a comprehensive planning integrating the previous main functional area planning and general land use planning,with a variety of data resources and abundant information,and the relationship between the data is very complex.According to the characteristics of urban spatial planning data,it has become the key for government departments to improve the utilization efficiency of data by building an associated data model to effectively organize and efficiently manage the data and provide data support for the decision-making and decision support system of planning and construction.However,at present,there are two problems in the urban spatial planning data organization scheme: first,the data stored in layers are not strongly related to each other,and the problem of "information island" is serious,which brings great difficulties to the implementation of planning and approval management.Secondly,in the traditional data organization model,when faced with the spatial planning data with the explosive growth of data volume and increasingly complex relationship,the processing performance is gradually reduced,and the intelligence degree of data organization is low.When faced with different problems,the data classification is completely the same.This paper first analyzes the characteristics of spatial planning data resources and analyzes the correlation between the data.Secondly,an urban spatial planning data association logic model is designed according to the correlation relationship between the data,and a data organization model based on graph database is proposed based on the constructed logical model.Finally,an experiment of data query and retrieval is designed based on the organization model,and a prototype system is developed and an example is given.The research results and main contents of this paper include:(1)data characteristics and correlation characteristics of urban spatial planning were studied.In order to solve the problem of weak connection between the data stored in spatial planning and the serious problem of "information island",the characteristics of data and the relationship between data are analyzed.Firstly,the characteristics of urban spatial planning data are summarized based on the sources,data organization and classification system of urban spatial planning data.Then,starting from the six guiding principles of semantics,location,geometry,attribute,evolution and relation,this paper analyzes the relation of planning data in four aspects: spatial hierarchy,temporal order,attribute logic and application collaboration.(2)built the logic model of urban spatial planning data correlation.Based on the above features and the relationship between data,planning data using multistage space unit to express the space elements of planning information,planning text and constraint index data correlation integration,using the spatial planning of various events to express time evolution data correlation integration of information,construct the logical model of the urban space planning data correlation,with Unified Modeling Language(Unified Modeling Language,UML)expression.(3)the organization mode of urban spatial planning data based on graph database is proposed.Firstly,a transformation method based on the logical model to the graph structure model is studied,in which the logical model constructed in this paper is organized and stored by the graph model.Then,aiming at the problem of data classification when data organization schemes are faced with different problems,the author studies the relationship of planning data in application collaboration level with the help of software model in the planning field,and USES the underlying semantic indexing technology to index the relationship.Finally,a prototype system for managing urban spatial planning data is developed,which proves that the data association model and data organization model proposed in this paper have a good performance in dealing with spatial planning data query tasks. |
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