面向管網(wǎng)信息共享平臺(tái)的服務(wù)粒度及其應(yīng)用研究
[Abstract]:With the development of network technology and computer technology, the technology of Service-Oriented Architecture Design (SOA) becomes more and more mature, and the granularity design of service is paid more and more attention by computer and academic circles. Nowadays, pipeline information service depends on the distribution and sharing of pipeline data. Service-oriented pipeline spatial data sharing system plays an important role in industry applications. However, in the process of implementing the "Natural Gas Pipeline General Survey, surveying and Mapping and Information system Construction Project in Meishan City", with the continuous growth of the pipeline spatial data, it only relies on a single function. The pipeline information sharing service with smaller granularity is difficult to meet the needs of the vast number of users in efficiency, and the pipeline data has strong spatial correlation. The simple large-granularity service mode also has difficulties in the process of realizing diversified user functional requirements. Therefore, combined with Meishan natural gas pipeline project, based on SOA model, considering the influence of service granularity, the pipeline data organization based on multi-level granularity is carried out. Research on the combination of multi-level granularity service partition and event-based pipeline information sharing service, a pipeline information sharing platform based on granularity is developed, and the natural gas pipeline information system and patrol inspection system are completed. The key problems of data sharing in pipeline information construction are solved, and the following works are carried out: (1) the shortcomings of the organization of conventional spatial data in the service-based data sharing mode are summarized. Aiming at the unreasonable granularity of pipeline data organization, a pipeline data organization model based on multilevel granularity is constructed. (2) combined with the construction demand of "Meishan Natural Gas Pipeline Survey, surveying and Information system Construction Project", This paper presents a multi-level granularity partitioning model of pipeline information sharing services, which is suitable for spatial pipeline data. On the basis of multi-level granularity pipeline information sharing service, an event-driven pipeline information sharing service composition method is implemented. (3) A pipeline information sharing service platform based on service granularity is designed and developed. Through experiments, the granularity algorithm and model of spatial data sharing service are verified. (4) based on the pipeline information sharing service platform, the paper combines "Tian Maps Sichuan" and Beidou Satellite Navigation system. The natural gas pipeline inspection system and the natural gas pipeline network patrol management system are developed. The system realizes the functions of pipeline map display, hidden trouble report, task distribution and so on. The experimental results show that the pipeline data organization method based on multilevel granularity can optimize the storage structure of spatial data and non-spatial data, which is beneficial to improve the efficiency of pipeline data transmission and processing. Compared with non-granularity pipeline information sharing service, the pipeline information sharing service partition model based on multi-level granularity and the pipeline information sharing service composition model based on event-driven are higher than that of non-granularity pipeline information sharing service. The efficiency of service response; According to the requirements of Meishan natural gas pipeline construction project and based on the algorithm in this paper, a pipeline information sharing service platform based on multi-level granularity is developed. The method in this paper is feasible after the application and verification of natural gas company.
【學(xué)位授予單位】:西南交通大學(xué)
【學(xué)位級(jí)別】:碩士
【學(xué)位授予年份】:2016
【分類號(hào)】:TU996;P208
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