{"id":3783,"date":"2022-07-13T09:30:00","date_gmt":"2022-07-13T07:30:00","guid":{"rendered":"https:\/\/cirpicme.org\/?page_id=3783"},"modified":"2022-07-26T13:03:17","modified_gmt":"2022-07-26T11:03:17","slug":"operator-4-0-intelligent-health-monitoring-a-cyber-physical-approach","status":"publish","type":"page","link":"https:\/\/cirpicme.org\/index.php\/biological-transformation-sustainability-human-factors\/operator-4-0-intelligent-health-monitoring-a-cyber-physical-approach\/","title":{"rendered":"Operator 4.0 intelligent health monitoring: a Cyber-Physical approach"},"content":{"rendered":"\n

by Alessandro Simeone, Rebecca Grant, Weilin Ye, Alessandra Caggiano (Italy)<\/em><\/p>\n\n\n\n

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

The fast development and availability of smart sensors and wearable devices provides for the development of intelligent operator workspaces.
In this context, a Cyber-Physical System approach is proposed in this paper in order to monitor the Operator 4.0 health risks within an integrated and sustainable manufacturing environment.
Such system collects relevant data to health risk assessment, specifically physiological data, environmental data and Manufacturing Process data. A processing and fuzzy-based fusion approach is defined to evaluate the interaction of diverse variables and their impact on the overall risk level. In this way, a dynamic and customized health monitoring system is realized within the manufacturing environment, enabling an intelligent decision-making for the real-time assessment of the health risk level and type.<\/p>\n\n\n\n

Keywords<\/strong>: Operator 4.0; Cyber-Physical System; Fuzzy-inference; Health monitoring<\/p>\n\n\n\n

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