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    Applications of Global Automation Leaders in the Metal Processing and Steel Industry

    ABB: Intelligent Drives and Control Systems Powering Steel Production

    ABB has extensive experience in the steel industry, especially in rolling mills, continuous casting, and energy management. Its ACS880 variable speed drives and the ABB Ability™ Industrial IoT platform are widely applied in hot rolling lines to precisely control motor speed and energy consumption.

    For instance, in Baosteel Group’s hot rolling project, ABB’s automation and drive systems improved energy efficiency by 10% and enhanced thickness precision to ±0.2 mm. In addition, ABB’s robotic welding and material handling systems are commonly used in metal processing workshops, greatly improving automation levels and operational safety.

    Schneider Electric and Siemens: The Backbone of Smart Control and Energy Optimization

    Both Schneider Electric and Siemens play critical roles in industrial control and energy management. Schneider’s EcoStruxure™ platform enables end-to-end data collection and analysis—from device level to enterprise level. In Ansteel Group’s digital transformation project, Schneider’s intelligent power distribution and energy monitoring system helped reduce overall energy consumption by around 8% and enabled remote monitoring and predictive maintenance.

    Meanwhile, Siemens’ SIMATIC PCS 7 process control system and MindSphere Industrial IoT platform have been widely adopted in steelmaking and continuous casting processes. For example, Thyssenkrupp Steel in Germany implemented Siemens’ automation solutions to achieve full-process intelligent control from raw material pre-treatment to steel refining, significantly improving production consistency and product quality.

    Rockwell Automation and GE: Data-Driven Efficiency in Manufacturing

    Rockwell Automation’s PlantPAx® Distributed Control System (DCS) and FactoryTalk® software suite are used by many metal processing companies for process monitoring and asset management. At Nucor Steel in the United States, Rockwell’s systems enable real-time equipment condition monitoring and adaptive control, reducing unplanned downtime by 15%.

    Meanwhile, GE, through its Predix Industrial Internet platform and smart motor solutions, provides predictive maintenance based on big data analytics. For instance, Tata Steel in India adopted GE’s predictive maintenance system and saved approximately $2 million annually in maintenance and energy costs.

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