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Intelligent Steelmaking Based on Advanced Analytics: Reducing Operational Costs of a BOF

机译：基于高级分析的智能炼金：降低了BOF的运营成本

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Modern manufacturing is characterized by the availability of large sets of data (e.g. sensor data) of different formats, quality and semantics, which is often referred to as Big Data. The abundance of data creates a lot of potential for the production process improvement, as well as for increasing product quality and sustainability. The steel manufacturing industry is changing with the introduction of online data analysis and the possibilities made available by cloud computing technology. Tenova understands that, in order to maintain a competitive role in the steel business, it needs advanced online monitoring and analysis tools, developed on state-of-the-art detection algorithms and leveraging on Big Data solutions.
机译：现代制造的特点是不同格式，质量和语义的大集数据（例如传感器数据）的可用性，这通常被称为大数据。丰富的数据为生产过程改进创造了很多潜力，以及增加产品质量和可持续性。钢铁制造业随着在线数据分析的引入和云计算技术提供的可能性而变化。 Tenova了解到，为了保持钢铁业务中的竞争作用，它需要在最先进的检测算法上开发先进的在线监测和分析工具，并利用大数据解决方案。

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