Virtual sensors

In complex manufacturing processes, it is crucial to monitor numerous technological parameters and metrics. To achieve this, enterprises equip their plants with a considerable amount of instrumentation and control systems (IACS).

So, what role does artificial intelligence play in this context?

There are often situations where the deployment of measuring instruments is hindered by factors such as extended delivery times, high costs, a shortage of specialists, and even physical installation challenges. In such cases, artificial intelligence can assist by determining the values of the required parameters through the creation of a mathematical model. This model calculates the parameter's value based on measurements of other characteristics. The implementation speed of such solutions is often significantly higher, and costs are lower, thanks to the use of the Ditwinx platform solution, specifically designed for industrial enterprises, taking into account their specific needs.

Objectives

  • Enhancing process predictability
  • Reducing costs on the purchase of analytical equipment

Solution

  • Ditwinx platform
  • AI-based virtual sensors

Impact

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Optimization of ferroalloy consumption

Optimization of ferroalloy consumption

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