基于SOA的油气生产物联网管理子系统研究与应用

发布时间：2019-02-16 00:43

【摘要】：现阶段,国际主流能源公司的生产自动化,包括数据采集处理、生产控制告警等业务功能都已经初步实现,并已成为流行趋势。国内领先的油气田公司也进行了相关探索,证实了油气生产物联网的技术成熟性和经济可行性。然而,目前国内尚未建成综合性的油气生产物联网系统。这是由于石油行业信息化建设情况复杂、实现技术差异巨大,而且在建设新的信息系统时既要考虑与已建系统的集成又要考虑需求的不断变化。要解决这些困难,合适的技术选型显得尤为重要。此时,SOA(Service Oriented Architecture)架构具有的高度的灵活性、可复用性等优势凸显了出来。本文着重研究SOA在油气生产物联网管理子系统(A11)中的应用。首先,本文对SOA的思想理论、标准、规范以及其相关实现技术进行了讨论和研究,重点阐述其应用,并引出核心概念SOA建模。同时,根据油气生产物联网业务要求对系统进行需求分析、架构设计,以确定技术路线、明确SOA技术架构在整个系统中的地位与作用。然后,本文将SOA的建模思想应用到管理子系统的需求分析中。先对系统SOA建模的生命周期进行研究总结,得出管理子系统的建模步骤。之后根据分析得出的全生命周期建模步骤,选取其中最核心的几步：架构设计、服务建模、服务开发、服务集成,进行应用分析。其中以服务建模为重点,研究总结SOA建模领域的指导性方法,创建出一套符合油气生产物联网的业务的建模方法,并按此方法进行服务建模,得到业务流程分解中发现不到的基本服务,再将这些基本服务进行组合或者分解从而得到满足更复杂业务需求的服务操作。服务建模完毕后再按业务需求进行服务的开发以及集成,完成SOA建模生命周期的核心步骤。最后,本文对SOA架构模型进行系统实现并详细阐述其中关键功能,验证了SOA架构和思想在油气生产物联网系统中应用的可行性与有效性。
[Abstract]:At present, the production automation of international mainstream energy companies, including data collection and processing, production control alarm and other business functions have been initially realized, and has become a popular trend. Domestic leading oil and gas field companies have also carried out related exploration, which confirms the technical maturity and economic feasibility of oil and gas production Internet of things. However, at present, the integrated oil and gas production Internet of things system has not yet been built in China. This is due to the complexity of the information construction in petroleum industry and the huge technological difference in the realization of the new information system. Moreover, the integration with the established information system and the continuous changes of the requirements should be considered in the construction of the new information system. To solve these difficulties, appropriate technology selection is particularly important. At this time, the, SOA (Service Oriented Architecture) architecture has a high degree of flexibility, reusability and other advantages highlighted. This paper focuses on the application of SOA in the management subsystem of oil and gas production Internet of things (A 11). First of all, this paper discusses and studies the theory, standards, specifications and related implementation technologies of SOA, focuses on its application, and leads to the core concept of SOA modeling. At the same time, according to the business requirements of the oil and gas production Internet of things, the system needs analysis, architecture design, in order to determine the technical route, clear the status and role of SOA technology architecture in the whole system. Then, the modeling idea of SOA is applied to the requirement analysis of the management subsystem. First, the life cycle of system SOA modeling is summarized, and the modeling steps of management subsystem are obtained. Then according to the whole life cycle modeling steps, the most core steps are selected: architecture design, service modeling, service development, service integration, and application analysis. With the service modeling as the emphasis, this paper summarizes the guiding methods in the field of SOA modeling, creates a set of business modeling methods that accord with the oil and gas production Internet of things, and carries on the service modeling according to this method. Get the basic services which can not be found in the business process decomposition, and then combine or decompose these basic services to get the service operation to meet the more complex business requirements. After the service modeling is finished, the service is developed and integrated according to the business requirements, and the core steps of the SOA modeling lifecycle are completed. Finally, the SOA architecture model is implemented and its key functions are described in detail, which verifies the feasibility and effectiveness of the application of SOA architecture and ideas in the oil and gas production Internet of things system.
【学位授予单位】：兰州理工大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TP393.09

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