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Perinet Use Case Production data for machine learning (Zentinel MDS)

The challenge

An industrial company wanted to continuously collect production data from various machines in order to carry out operational optimisations using AI-supported algorithms.

Realisation

  • The ZentNode adapters were connected directly to the machines to collect signals such as cycle times, parts produced and energy consumption.
  • Data is stored locally on the ZentEdge server and made available in an SQL database for import into AI systems.
  • The solution enables continuous data collection with minimal network and infrastructure changes.

Added value

  • ML optimisation: Provision of reliable, structured data for machine learning.
  • Cost savings: No additional hardware or software licences required.
  • Simplicity: Direct access to production data without IT programming effort.
  • Security: All communication is TLS-encrypted.

Additional application options

  • Predictive maintenance: data provision for AI-supported predictions of maintenance requirements.
  • Quality assurance: Use of production data for AI models for error detection and process optimisation.
  • Warehouse management: Analysis of cycle times and production data to optimise material flows.

Do you have any questions or a project?

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