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Product Digital Twin

Service description

We offer a digital replica of your product, enabling real-time monitoring of key variables to ensure optimal functionality. The solution provides insights into the machine’s performance, detects anomalies, and triggers alerts to address potential issues promptly.
Expected results: Enhanced real-time monitoring of product performance, reduced downtime through early detection of issues, improved operational efficiency, and proactive maintenance triggered by alerts.
Methodology: Assessment: Evaluate the current product performance data and identify key variables that need to be monitored in real-time. Analyze how well the existing system tracks product performance and highlights issues.
Data Collection: Implement sensors and IoT devices to gather real-time data.
Modeling: Develop and integrate a dynamic digital twin that mirrors the product’s performance.
Analysis: Use predictive analytics to monitor performance and generate alerts for anomalies.
Continuous Improvement: Regularly update the digital twin model to reflect operational changes and optimize performance.
Target: Manufacturing & Automotive
  • Organisation: REPLY
  • Type: Experiment
  • SUT/E: Predictive AI models
  • Average duration: 4.0 -- 6.0 months
  • Contact: m.diflorio@reply.it

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Co-Funded by the European Union Under grant agreement number 101100707

Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or the Directorate-General for Communications Networks, Content and Technology. Neither the European Union nor the granting authority can be held responsible for them.

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