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Using integrated process data of longwall shearers in data warehouses for performance measurement

机译:在数据仓库中使用Longwall Shearers的集成过程数据进行性能测量

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摘要

Coal, still considered as one of the primary energy resources worldwide, is mined by utilising large scale equipment both on surface operations and underground mines. Technology has become a fundamental piece of modern mining operations that have to track performance of mining equipment in detail for efficient production. Data generated by mining equipment reached a level where data warehousing could be used for collecting, integrating and analysing data for a data-driven management perspective. The potential of integrated process data of longwall shearers in data warehouses for performance measurement are investigated. Vast amount of data is generated by equipment operated in underground mines that should be used and handled more efficiently in modern mining operations. Data warehousing and business intelligence (BI) tools are introduced to support daily operation of a longwall shearer. It was concluded that data analysis can be improved by utilising integrated data that has more potential to define unit operations in detail. BI tools specifically developed to monitor cutting performance and cycle breakdown should become essential parts of production management and decision making at modern underground coal mines.
机译:煤炭仍被认为是全球主要能源资源之一,通过在地面操作和地下矿山上利用大型设备进行开采。技术已成为现代采矿业务的根本性,必须追踪采矿设备的性能,详细介绍高效生产。采矿设备生成的数据达到了数据仓库的级别,可以用于收集,集成和分析数据驱动管理的透视图。研究了用于性能测量的数据仓库中的长壁剪切仪的集成过程数据的潜力。大量数据由在地下矿山中操作的设备产生,这些设备应在现代采矿业务中更有效地使用和处理。引入数据仓库和商业智能(BI)工具以支持长墙式采煤机的日常运行。得出结论,通过利用具有更多潜力的集成数据可以详细地定义单元操作的集成数据,可以提高数据分析。 BI工具专门用于监测切割性能和循环分类,应成为现代地下煤矿生产管理和决策的基本部分。

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