Research On Spatial Data Matching Of City Underground Pipelines And Its Parallelization

Urban underground pipeline is an important part of urban infrastructure,responsible for the transfer of information and transportation of energy work and known as the lifeline and blood.Urban underground pipeline data is increasingly becoming the core of spatial information resources,widely used in urban planning,construction and emergency management and other fields.Due to the difference between the management model and the purpose of the application,the pipeline data is now divided into two categories:integrated underground pipeline data and professional underground pipeline data.Integrated underground pipeline data is managed and maintained by the city planning department,mainly for urban planning and construction;the professional underground pipeline data is managed and maintained by the pipeline unit,which mainly serves the daily production activities of the pipeline subordinate units.Both types of pipeline data are oriented to the same pipeline objects in the same area,but there are obvious differences in data model,data precision and semantic connotation due to different technical conditions and different application requirements.As a result,the integration and sharing of two types of pipeline data are becoming more and more important in the deep application of pipeline data and pipeline information.Due to the lack of efficient and convenient pipeline data matching tools,pipeline-related departments are still using inefficient manual matching.Therefore,a convenient and efficient urban underground pipeline spatial data matching method needs to be formed.This paper analyzes the differences between the integrated pipeline data and the professional pipeline data,summarizes the characteristics of the underground pipeline spatial data,puts forward the urban underground pipeline level matching model,and carries out the matching method of the integrated pipeline and the professional pipeline spatial data,and the time-consuming matching step is handled by parallel computing.In this paper,the main research contents and results are as follows:(1)Analyze the characteristics of the traditional vector data matching method and the main application scenarios.Combining the differences between the integrated underground pipeline and the professional underground pipeline data,this paper proposes a matching model and matching process which is suitable for the underground pipeline spatial data with obvious hierarchical features.And a matching strategy is proposed for the pipeline spatial data matching model.(2)Analyse the strategy and requirement of spatial data partitioning and the characteristics of Hilbert space filling curve,a pipeline data partitioning method based on Hilbert curve is proposed to realize the load balancing of each calculation node.On this basis,the parallel generation algorithm of pipeline Stroke and pipe point topology is studied to improve the efficiency of pipeline spatial data matching.(3)Based on the model of pipeline spatial data matching proposed in this paper,the experimental data,a regional water pipeline is experimentally verified,and the construction of prototype system is completed.And the matching results are analyzed to provide the application and practice for the theoretical research of this paper.