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BiBTeX citation export for TUMBCMO39: Enhanced Maintenance and Availability of Handling Equipment using IIoT Technologies

@inproceedings{blancovinuela:icalepcs2023-tumbcmo39,
  author       = {E. Blanco Viñuela and A.G. Garcia Fernandez and D. Lafarge and G. Thomas and J-C. Tournier},
  title        = {{Enhanced Maintenance and Availability of Handling Equipment using IIoT Technologies}},
% booktitle    = {Proc. ICALEPCS'23},
  booktitle    = {Proc. 19th Int. Conf. Accel. Large Exp. Phys. Control Syst. (ICALEPCS'23)},
  eventdate    = {2023-10-09/2023-10-13},
  pages        = {462--466},
  paper        = {TUMBCMO39},
  language     = {english},
  keywords     = {controls, operation, network, monitoring, framework},
  venue        = {Cape Town, South Africa},
  series       = {International Conference on Accelerator and Large Experimental Physics Control Systems},
  number       = {19},
  publisher    = {JACoW Publishing, Geneva, Switzerland},
  month        = {02},
  year         = {2024},
  issn         = {2226-0358},
  isbn         = {978-3-95450-238-7},
  doi          = {10.18429/JACoW-ICALEPCS2023-TUMBCMO39},
  url          = {https://jacow.org/icalepcs2023/papers/tumbcmo39.pdf},
  abstract     = {{CERN currently houses 6000 handling equipment units categorized into 40 different families, such as electric overhead travelling cranes (EOT), hoists, trucks, and forklifts. These assets are spread throughout the CERN campus, on the surface (indoor and outdoor), as well as in underground tunnels and experimental caverns. Partial access to some areas, a large area to cover, thousands of units, radiation, and diverse needs among handling equipment makes maintenance a cumbersome task. Without automatic monitoring solutions, the handling engineering team must conduct periodic on-site inspections to identify equipment in need of regulatory maintenance, leading to unnecessary inspections in hard-to-reach environments for underused equipment but also reliability risks for overused equipment between two technical visits. To overcome these challenges, a remote monitoring solution was introduced to extend the equipment lifetime and perform optimal maintenance. This paper describes the implementation of a remote monitoring solution integrating IIoT (Industrial Internet of Things) technologies with the existing CERN control infrastructure and frameworks for control systems (UNICOS and WinCC OA). At the present time, over 600 handling equipment units are being monitored successfully and this number will grow thanks to the scalability this solution offers. }},
}