002895254 001__ 2895254
002895254 003__ SzGeCERN
002895254 005__ 20240412205139.0
002895254 0247_ $$2DOI$$9JACOW$$a10.18429/JACoW-ICALEPCS2023-TUMBCMO39
002895254 0248_ $$aoai:cds.cern.ch:2895254$$pcerncds:FULLTEXT$$pcerncds:CERN:FULLTEXT$$pcerncds:CERN
002895254 035__ $$9https://inspirehep.net/api/oai2d$$aoai:inspirehep.net:2754538$$d2024-04-11T07:50:48Z$$h2024-04-12T04:00:17Z$$mmarcxml
002895254 035__ $$9Inspire$$a2754538
002895254 041__ $$aeng
002895254 100__ $$aBlanco Viñuela, Enrique$$jJACoW-00030894$$menrique.blanco@cern.ch$$uCERN
002895254 245__ $$9JACOW$$aEnhanced Maintenance and Availability of Handling Equipment using IIoT Technologies
002895254 260__ $$c2023
002895254 300__ $$a5 p
002895254 520__ $$9JACOW$$aCERN currently houses 6000 handling equipment units categorized into 40 different families, such as electric overhead travelling cranes (EOT), hoists, trucks, and forklifts. These assets are spread throughout the CERN campus, on the surface (indoor and outdoor), as well as in underground tunnels and experimental caverns. Partial access to some areas, a large area to cover, thousands of units, radiation, and diverse needs among handling equipment makes maintenance a cumbersome task. Without automatic monitoring solutions, the handling engineering team must conduct periodic on-site inspections to identify equipment in need of regulatory maintenance, leading to unnecessary inspections in hard-to-reach environments for underused equipment but also reliability risks for overused equipment between two technical visits. To overcome these challenges, a remote monitoring solution was introduced to extend the equipment lifetime and perform optimal maintenance. This paper describes the implementation of a remote monitoring solution integrating IIoT (Industrial Internet of Things) technologies with the existing CERN control infrastructure and frameworks for control systems (UNICOS and WinCC OA). At the present time, over 600 handling equipment units are being monitored successfully and this number will grow thanks to the scalability this solution offers.
002895254 540__ $$aCC-BY-4.0$$bJACOW$$uhttps://creativecommons.org/licenses/by/4.0
002895254 65017 $$2SzGeCERN$$aComputing and Computers
002895254 6531_ $$9author$$acontrols
002895254 6531_ $$9author$$aoperation
002895254 6531_ $$9author$$anetwork
002895254 6531_ $$9author$$amonitoring
002895254 6531_ $$9author$$aframework
002895254 690C_ $$aARTICLE
002895254 690C_ $$aCERN
002895254 700__ $$aGarcia Fernandez, Adrian$$jJACoW-00148074$$madrian.garcia.fernandez@cern.ch$$uCERN
002895254 700__ $$aLafarge, Damien$$jJACoW-00150245$$mdamien.lafarge@cern.ch$$uCERN
002895254 700__ $$aThomas, Geraldine$$jJACoW-00040563$$mgeraldine.thomas@cern.ch$$uCERN
002895254 700__ $$aTournier, Jean-Charles$$jJACoW-00062048$$mjean-charles.tournier@cern.ch$$uCERN
002895254 773__ $$cTUMBCMO39$$pJACoW ICALEPCS$$qICALEPCS2023$$v2023$$wC23-10-07$$y2023
002895254 8564_ $$82524776$$s8357748$$uhttp://cds.cern.ch/record/2895254/files/document.pdf$$yFulltext
002895254 960__ $$a13
002895254 962__ $$b2881790$$kTUMBCMO39$$ncape town20231007
002895254 980__ $$aARTICLE
002895254 980__ $$aConferencePaper