通过集中报警管理系统实现操作效率

Mahmoud AbdulHameed Al Mahmoud, Joseph Sylvester Pius David, Askar Jaffer
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摘要

警报管理系统(AMS)已被应用于石油和天然气行业,并实现了几个好处。如提高面板操作员的效率,保持较高水平的工厂正常运行时间和完整性,减少异常情况的数量。这最终会带来更高的资产生产率。一些OPCO拥有多个运营资产/站点,这些资产/站点分布在不同的地理位置。由于调试时技术的时间和可用性,每个资产可能有不同的集成控制系统(ICS)。需要不同的本地实施的AMS。统一的CAMS因此减少了开发、部署和维护报警系统的时间和精力,并且是增强工厂安全运行的基本工具包。一些站点有多个具有共同过程控制部分的工厂。过程控制工程师需要到各个工厂访问DCS告警。通过进行小时企业报警管理,员工在其办公室pc上可以访问DCS报警。实现CAMS需要一个健壮的数据存在基础设施。值得注意的是集中式工厂信息管理系统,可以捕获有关警报和操作员输入的几个实时数据点。CAMS统一了在公司中如何进行报警管理的方法。其中CAMS系统生成一组标准和自定义模板,突出显示每个操作资产/移位/面板操作员的性能。提供对每个资产的性能,每个操作班次的效率和面板操作员的响应的见解。如果解决了这个问题,将导致运营资产的整体性能和生产。有了这些警报管理数据,可以通过数据分析进一步增强,以确定可以实现运营效率的领域。此外,CAMS减少了部署报警管理系统的时间和工作量,以应对未来的运营资产扩张。CAMS与实时数据和机器学习算法相结合,可以将工厂过去的行为关联起来,然后可以将其用于未来的警报预测。这将进一步增强我们的数据驱动决策,并减少对个人驱动决策的依赖。综上所述,对于拥有地理/ICS多样化运营资产的运营公司来说,CAMS是值得投资的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Achieving Operational Efficiencies from a Centralized Alarm Management System
Alarm Management Systems ("AMS") have been adopted in the oil & gas industry where several benefits were realized. Such as improved panel operator effectiveness, maintaining higher levels of plant uptime and integrity, reducing the number of abnormal situation. Which ultimately leads to higher asset productivity. Several OPCO have multiple operational assets/sites that are geographically diverse. Where each asset might have a different Integrated Control System ("ICS") due to the time and availability of technology at the time of commissioning. Requiring diverse locally implemented AMS. A unified CAMS thus reduces time and effort to develop, deploy, and maintain alarm systems and is an essential toolkit for enhanced safe operation of the plant. Some sites have multiple plants wuth common pocess control section. The process control enginners needs to visit individual plants access DCS alalrms. By carryinhour corporate alarm management, engibbers at their office PCs have the access to the DCS alarms. Implementing CAMS requires the presence of a robust data presence infrastructure in place. Notably a centralized plant information management system, where several real time data points with regards to alarms and operator inputs can be captured. A CAMS unifies the approach of how alarm management is conducted in the company. Where a CAMS system generates a set of standard and custom templates that highlight the performance of each operating asset/shift/panel operator. Providing insights into the performance of each asset, efficiency of each operational shift and response of the panel operators. That when addressed, will lead to an overall performance and production of the operational asset. With this alarm management data, it can be further enhanced through data analytics to identify areas where operational efficiencies can be achieved. Additionally, the CAMS reduces the times and effort to deploy an alarm management system for any future operating asset expansions. CAMS coupled with real time data and Machine learning algorithms, past behaviours of the plant can be correlated, which can then be utilised for future predictions on alarms. This would further enhance our data driven decision-making, and would reduce the dependence on personal driven decisions. It can be concluded, that the CAMS is worthy investment for operating companies that have geographical/ICS diverse operational assets.
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