基于Web服务的水文时空数据集成方法研究

发布时间：2018-09-09 19:10

【摘要】：在一些对实时性要求很高的应用中，例如洪水灾害预警系统，水文数据每时每刻都会有变化，而这些实时数据对于决策中心的决策者而言是至关重要的，因此本文重点研究水文数据的存储、组织和发布及集成应用。地理信息系统(GIS)是一种可融合进不同系统框架的技术，能采集、存储、分析和显示地理参考信息，它允许我们以一种快速理解和方便共享的方式浏览、理解、查询、解译和可视化数据；另一方面，Web服务是建立于XML、SOAP、WSDL、UDDI等开放标准之上，实现两个应用系统之间的互操作性的体系结构。现在我们拥有了两个独立的技术：GIS和Web服务，他们的结合点是集成一个满足下面要求的水文时空数据集成系统，即GIS提供地图和空间对象，而Web服务提供接入水文时间序列数据的接口。在水文时空数据集成系统的设计及实现过程中，为了更好地体现水文时空数据的特点，本文详细分析了ODM观测数据存储模型和WaterML语义模型：ODM数据模型建立于关系数据模型上，包含观测数据、观测站、数据源、观测变量、观测时间、数据采集方法、数据质量等信息，该模型主要研究这些数据之间的联系及组织结构，该模型可以弥补现有时空数据模型不能存储水文时间序列数据的问题；而WaterML作为一种XML结构的语言，定义了Web服务方法中的所有元素的结构,一方面作为Web服务实现时设计Web服务方法中水文数据类结构的依据，，另一方面Web服务调用者也可以此规范来调用Web服务，易于开发和维护不断变化的客户应用程序。本论文使用GIS技术，以.NET与ArcGIS Engine为开发平台,以Web服务技术框架为基础，构建了一个水文时空数据集成系统，该系统集成了水文观测时间序列数据及空间数据，并实现了数字地图显示、水文数据查询、水位监测及预警等功能。
[Abstract]:In some applications that require high real-time performance, such as flood warning systems, hydrological data vary from time to time, and these real-time data are critical for decision makers in decision-making centers. Therefore, this paper focuses on the storage, organization, distribution and integration of hydrological data. Geographic Information system (GIS) is a technology that can be integrated into different system frameworks. It can collect, store, analyze and display geographic reference information. It allows us to browse, understand and query in a way that can be quickly understood and easily shared. On the other hand, web services are based on open standards such as XML,SOAP,WSDL,UDDI to achieve interoperability between two application systems. Now we have two separate technologies called: GIs and Web Services, which combine to integrate a hydrological space-time data integration system that meets the following requirements: GIS provides maps and spatial objects. The Web service provides access to hydrological time series data. In the course of the design and implementation of hydrological space-time data integration system, in order to better reflect the characteristics of hydrological space-time data, this paper analyzes in detail the ODM observation data storage model and the WaterML semantic model: ODM data model established on the relational data model. It contains information such as observation data, observation station, data source, observation variable, observation time, data acquisition method, data quality and so on. This model can make up for the problem that the existing spatio-temporal data model can not store hydrological time series data, and WaterML, as a language of XML structure, defines the structure of all the elements in the Web service method. On the one hand, it is the basis of designing the hydrological data class structure in the Web service method when Web service is implemented; on the other hand, the Web service caller can call the Web service with this specification, which is easy to develop and maintain the changing customer application program. In this paper, a hydrological space-time data integration system is constructed on the basis of GIS technology,. Net and ArcGIS Engine, based on the framework of Web service technology. The system integrates hydrological observation time series data and spatial data. The functions of digital map display, hydrological data query, water level monitoring and warning are realized.
【学位授予单位】：华中科技大学
【学位级别】：硕士
【学位授予年份】：2013
【分类号】：TP393.09;P208

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