{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,14]],"date-time":"2025-11-14T17:30:31Z","timestamp":1763141431601},"reference-count":0,"publisher":"IOS Press","license":[{"start":{"date-parts":[[2020,9,25]],"date-time":"2020-09-25T00:00:00Z","timestamp":1600992000000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020,9,25]]},"abstract":"<jats:p>The simulation of production processes using a Digital Twin is a promising means for prospective planning, analysis of existing systems or process-parallel monitoring. However, many companies, especially small and medium-sized enterprises, do not apply the technology, because the generation of a Digital Twin is cost-, time- and resource-intensive and IT expertise is required. This obstacle can be removed by a novel approach to generate a Digital Twin using fast scans of the shop floor and subsequent object recognition in the point cloud. We describe how parameters and data should be acquired in order to generate a Digital Twin automatically. An overview of the entire process chain is given. A particular attention is given to the automatic object recognition and its integration into Digital Twin.<\/jats:p>","DOI":"10.3233\/atde200095","type":"book-chapter","created":{"date-parts":[[2020,9,30]],"date-time":"2020-09-30T18:17:47Z","timestamp":1601489867000},"source":"Crossref","is-referenced-by-count":9,"title":["Automated Generation of a Digital Twin of a Manufacturing System by Using Scan and Convolutional Neural Networks"],"prefix":"10.3233","author":[{"given":"Markus","family":"Sommer","sequence":"first","affiliation":[{"name":"isb \u2013 innovative software business GmbH, Germany"}]},{"given":"Josip","family":"Stjepandi\u0107","sequence":"additional","affiliation":[{"name":"PROSTEP AG, Germany"}]},{"given":"Sebastian","family":"Stobrawa","sequence":"additional","affiliation":[{"name":"Leibniz University Hannover, Institute of Production Engineering and Machine Tools, Germany"}]},{"given":"Moritz","family":"von Soden","sequence":"additional","affiliation":[{"name":"Bornemann Gewindetechnik GmbH & Co. KG, Germany"}]}],"member":"7437","container-title":["Advances in Transdisciplinary Engineering","Transdisciplinary Engineering for Complex Socio-technical Systems \u2013 Real-life Applications"],"original-title":[],"link":[{"URL":"http:\/\/ebooks.iospress.nl\/pdf\/doi\/10.3233\/ATDE200095","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,9,30]],"date-time":"2020-09-30T18:17:48Z","timestamp":1601489868000},"score":1,"resource":{"primary":{"URL":"http:\/\/ebooks.iospress.nl\/doi\/10.3233\/ATDE200095"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,9,25]]},"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/atde200095","relation":{},"ISSN":["2352-751X","2352-7528"],"issn-type":[{"value":"2352-751X","type":"print"},{"value":"2352-7528","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020,9,25]]}}}