{"id":3317,"date":"2022-07-13T09:30:00","date_gmt":"2022-07-13T07:30:00","guid":{"rendered":"https:\/\/cirpicme.org\/?page_id=3317"},"modified":"2022-07-26T13:05:42","modified_gmt":"2022-07-26T11:05:42","slug":"plug-produce-a-3d-printed-sensor-system-concept-combined-with-cloud-based-process-monitoring-for-data-driven-decision-support","status":"publish","type":"page","link":"https:\/\/cirpicme.org\/index.php\/cyber-physical-systems-digital-manufacturing-2\/plug-produce-a-3d-printed-sensor-system-concept-combined-with-cloud-based-process-monitoring-for-data-driven-decision-support\/","title":{"rendered":"Plug & Produce – A 3D-printed sensor system concept combined with cloud-based process monitoring for data-driven decision support"},"content":{"rendered":"\n

by Valeryia Sidarava, Maximilian Backenstos, Sebastian Rehfeldt, Harald Klein (Germany)<\/em><\/p>\n\n\n\n

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Abstract<\/strong><\/p>\n\n\n\n

Digitalization of industrial processes has become a more pressing issue in recent years. As complex industrial operations are improved by data- driven decision support, the availability of process data is a key requirement. This contribution describes a concept for flexible and cost-effective sensing systems and subsequent data processing. Application of additive manufacturing, IO-Link technology, and cloud-based analysis allows for high degrees of customizability and assembly simplification. An example is given for decision support facilitated by the aforementioned system in the area of process control. The proposed concept offers a simple plug-and-produce solution for cross-industry process monitoring and analytics.<\/p>\n\n\n\n

Keywords<\/strong>: Industry 4.0; Process monitoring; Cloud-based data analysis; Sensing systems; Smart manufacturing<\/p>\n\n\n\n

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Video presentation<\/strong><\/p>\n\n\n\n