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DATA MANAGEMENT FOR INTEGRITY DECISION SUPPORT

机译:完整性决策支持的数据管理

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Within most pipeline organizations, maintenance and other facility departments use a range of separate data sources and applications to manage the integrity, maintenance and safety of their pipelines. These databases represent a significant investment over many years and are an integral part of day-today operations. It is evident that integration of data into a single, coherent data management system can provide significant benefits. However, the cost of implementing entirely new systems - with intensive data capture programs - is difficult to justify given the earlier investments. As a result, dedicated risk management software using static and separately maintained data is often used as a quick, low cost alternative to meet regulatory compliance commitments. Experience has shown that, with the right technology and an understanding of the specific needs of an organisation, a phased approach to integrated data management can be achieved at minimum initial cost by exploiting legacy data. This provides a low cost yet scalable solution that can grow with the changing needs of the business. In addition to the benefits of legacy data integration, this paper presents an insight into the additional benefits of technologies for distributed data access to provide simple, process-focussed reporting tools. The key role of data management in risk assessment and consequent integrity decision support process is discussed.
机译:在大多数管道组织内,维护和其他设施部门使用一系列单独的数据来源和应用来管理其管道的完整性,维护和安全性。这些数据库多年来代表了大量投资,并且是当天今天的一体化部分。显而易见的是,将数据集成到单个相干的数据管理系统中可以提供显着的好处。然而,在较早的投资中,难以理解的数据捕获计划实现完全新的系统 - 难以证明。因此,使用静态和单独维护数据的专用风险管理软件通常用作快速,低成本的替代方案,以满足规范合规性承诺。经验表明,通过正确的技术和对组织的特定需求的理解,可以通过利用传统数据以最小初始成本实现集成数据管理的分阶段方法。这提供了一种低成本且可扩展的解决方案,可以随着业务的不断变化而增长。除了遗留数据集成的好处之外,本文还介绍了分布式数据访问的技术的额外优势,以提供简单的流程集中的报告工具。讨论了数据管理在风险评估中的关键作用和随之而来的完整性决策支持进程。

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