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Benchmarking and Refining of Pneumatic Handling Systems in Smelters

  • 2025
  • OriginalPaper
  • Chapter
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Abstract

This chapter delves into the applications of big data and artificial intelligence in enhancing the efficiency of pneumatic handling systems in smelters. It highlights Qlar's expertise in developing cloud-based control and monitoring systems, which enable real-time performance measurement and remote troubleshooting. The text presents several case studies showcasing significant improvements in energy consumption and system performance through the use of Qlar's CONiQ Cloud e-Dense Meter and other innovative solutions. By leveraging data analytics and AI, Qlar aims to provide industry-leading control systems that optimize operational costs and reduce maintenance interventions. The chapter concludes with a vision for the future, emphasizing the potential for continuous improvement and the development of better tools year over year. Readers will gain insights into how advanced technologies can be applied to achieve sustainable economic benefits and maintain high system availability in heavy industries.

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Title
Benchmarking and Refining of Pneumatic Handling Systems in Smelters
Authors
Mark Coleman
Angie Quinn
Copyright Year
2025
DOI
https://doi.org/10.1007/978-3-032-00102-3_166
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