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ORGANIZER;CN=ESTAD 2023:mailto:info@metec-estad.com
LOCATION:Room 2
SUMMARY:From diagnostic analytics to prescriptive actions for maintenance and operation using purpose-built, low-code software: Developments for ironmaking
DESCRIPTION:Following the old proverb that you cannot manage what you cannot measure, tracking of important production metrics is a requirement for staying competitive in the global market for iron and steel. The digital transformation promises new insights for production improvements through, among others, an increase in advanced data analytics, newer and smarter sensors and an improved exchange and display of information. Leveraging such potential through the realization of value adding digital solutions poses its own challenges for many plant operators in the iron and steel sector, foremost the lack of available work force with the required qualifications and the development time and costs for such software. For technology suppliers, this implies developing and delivering tools that provide immediate benefit and sufficient flexibility to integrate new diagnostics for specific problems or plants. Paul Wurth is continuously improving and developing such tools. Recent developments of such tools and their added value for ironmaking are topics of this article. 

In the article, we present how we reduce the time to product for condition monitoring and process optimization solutions using our low-code development platform DataXpert and show the general approach for the development of such systems using this platform. We then provide tangible examples of existing template solutions in ironmaking that are developed using this platform. Those template solutions deliver a set of existing functionalities and can be adapted or extended to the needs and requirements of specific plants. Added value is illustrated on several examples: monitoring of high level metrics for slag granulation, diagnostic analytics for coke machines or predictive maintenance for the bell less top.

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