内检测数据管理云平台的设计与实现

Design and implementation of cloud platform for pipeline in-line inspection(ILI) data management

管道内检测(in-line inspection,ILI)数据具有数据量大、结构复杂、来源多样、不易管理与利用的特点,为了充分实现管道内检测数据的价值,为管道完整性管理提供更加便捷、有效的决策支持,结合云环境技术,将分散闲置的计算存储资源用虚拟化技术集中管理起来,建立了一套涵盖内检测数据组织、存储、发布、管理、使用全流程的云平台。利用该平台可以对内检测数据进行便捷、安全、高效、持续地管理,并可根据数据量的增加对云资源池进行灵活扩展,满足计算存储需求,使得管道完整性管理可以不受时间、地点、客户端的限制,进行内检测数据的上传、检索、分析等操作。该平台可以减少硬件投入成本,节省大量人力、物力及时间,进一步集中力量挖掘并发挥内检测数据的作用,为管道风险预判及维修维护提供重要支持。

Pipeline in-line inspection （ILI） data are characterized by large volume, complicated structure, multiple sources, and difficulties in management and utilization. To fully present values of ILI data and provide fast and effective support for decision-making related to pipeline integrity management, cloud techniques, which can be used for centralized management of dispersed and idle computing and storage resources using virtualization technology, have been deployed to construct a cloud platform covering the entire process from ILI organization, storage, distribution, to management and utilization. The newly developed platform may be used for fast, safe, high-efficiency and sustainable management of ILI data. In addition, cloud resource pools can be expanded easily in accordance with increases of data volumes to meet the increasing demands for computing storage. In this way, ILI data can be uploaded, retrieved and analyzed without being subject to time, location, materials and client restrictions in pipeline integrity management. In addition to reducing hardware investment and saving a lot of labor, materials and time cost, the newly developed platform may further explore potentials of ILl data to provide vital support for identification of pipeline risks and corresponding repair and maintenance. （5 Figures, 11 References）