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Enterprise Manufacturing Services to enhance Energy effectiveness and Sustainability Management at Anglo American Platinum

机译:企业制造服务,以提高Anglo American Platinum的能源效率和可持续发展管理

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Large Metallurgical Complexes are large users of Energy, Water and Assets. There are 1000 thousands of meters to manage the information at the local and enterprise level. To improve the effectiveness of energy and assets the quality of the data and events, it becomes a paramount for real time operational management. The lack of resources at the local operations and at the enterprise to process the sea of information becomes impossible and many projects have failed. As such, a novel approach for implementation of continuous improvements at the local level and innovations at the strategic level was implemented at all operating plants at AngloPlats. The new capability of an enterprise real time monitoring and diagnosis software infrastructure was available to implement many business strategies in tandem. As such, asset monitoring, energy, production and process control management was implemented in an integrated approach reusing the same data but with different context and time horizons to have standard methodology for local root cause analysis. At the same time, real manufacturing services to support operations and keep the continuous improvement and innovations found as new opportunities at the enterprise are found in industry. This paper will highlight the required computer architecture, data hierarchies' approaches for adaptive reporting, condition based event management and notifications. The results based on the integrated and collaborative team efforts will be presented. PI System for a targeted reduction in energy consumption of 15% by 2014.
机译:大型冶金复合物大用户能源,水务及资产。有1000个万千米来管理地方和企业层面的信息。为了提高能源和资源的数据和事件的质量的有效性,它成为实时运营管理至关重要。在本土作战,并在企业中缺乏资源的信息变得不可能,很多项目都未能处理大海。因此,在战略层面上实施的地方一级不断改进和创新的新方法在所有营运电厂在AngloPlats实现。一个企业的实时监控和诊断软件基础架构的新功能是可以实现协同众多的商业战略。因此,资产监控,能量,生产和过程控制管理是在一个集成的方法重复使用相同的数据,但在不同的上下文和时间范围实现为具有用于本地根本原因分析的标准方法。与此同时,真正的制造业服务,以支持业务,并保持不断改进和创新,如发现在企业新的机会在行业中找到。本文将重点所需的计算机体系结构,数据层次结构方法自适应报告,基于状态的事件管理和通知。基于集成和协作的团队努力的结果将提交。 PI系统中的15%的能源消耗有针对性的减少到2014年。

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