基于工作流的空间数据质量检查方法  

Method of Spatial Data Quality Inspection Based on Workflow

作　　者：任恒一 史文中[2] REN Hengyi;SHI Wenzhong(School of Remote Sensing and Information Engineering,Wuhan University,Wuhan 430079,China;Smart Cities Research Institute of the Hong Kong Polytechnic University,Hong Kong 999077,China)

机构地区：[1]武汉大学遥感信息工程学院,湖北武汉430079 [2]香港理工大学智慧城市研究院,中国香港999077

出　　处：《测绘地理信息》2023年第4期137-140,共4页Journal of Geomatics

基　　金：国家重点研发计划(2017YFB0503604)。

摘　　要：将地理计算按照业务逻辑进行组合后,可以针对性地解决复杂空间数据的质量问题,这是传统空间数据质检的基本方法。现有的空间数据质量检查流程仍然无法摆脱大量的人工参与。面对日趋复杂的空间数据,国内外学者提出了大量的质检算法和检查方法,但是在自动化程度、效率等方面还存在一些不足。提出和建立一套基于工作流技术的复杂空间数据质量检查方法,通过其自动化的流程管理可以辅助进行空间数据质量管理,按照协作式数据处理、流程调度和并行计算流程执行3个方面完成质检自动化。在算法中有效地解决了空间数据质量检察中的复杂依赖关系。该方法能够应对实时的空间数据更新,使得复杂数据的质量检查高效率、自动化。通过地理国情数据的质量检查案例,验证了方法的特点和可行性。After the combination of geographic computing according to business logic,we can solve the quality problem of complex spatial data,which is the basic practice of traditional spatial data quality inspection.The existing spatial data quality inspection process is still unable to get rid of a large number of manual involvement.In the face of increasingly complex spatial data,scholars at home and abroad have proposed a large number of quality inspection algorithms and methods,but there are still some deficiencies in the degree of automation,efficiency and other aspects.This paper proposes and establishes a set of complex spatial data quality inspection method based on workflow technology,which can assist spatial data quality management through its automatic process management.Through collaborative data processing,process scheduling and parallel computing process execution,the quality inspection automation is completed.The algorithm effectively solves the complex dependence in spatial data quality inspection.The new method can deal with the real-time spatial data update,making the quality inspection of complex data efficient and automatic.The characteristics and feasibility of the method are verified by a case study of the quality inspection of geographic national conditions data.

关 键 词：工作流 质量检查 空间数据 地理国情 

分 类 号：P208[天文地球—地图制图学与地理信息工程]