DATAMIND enables the creation of a Digital Twin, a dynamic virtual model of a process that continuously updates in real time using data from key variables such as product measurements, process parameters, and machine configurations.
It supports closed-loop control, simulation, monitoring, and optimization of the process through algorithms, physics-based models, or machine learning techniques.
The DATAMIND license includes the following enabled functions:
Main features
Recommend optimal corrective actions and adaptive process improvements, either by notifying operators or automatically adjusting machine settings (e.g. adjusting temperatures of the different heating units on ovens, fryers, refrigerators, freezers, and parameters on other processing and packaging machinery).
Forecast production outcomes based on specific settings and operational variables and perform simulations to assess the impact of various scenarios, evaluating the potential consequences of different configurations and operational changes before applying them in the live production environment.
Before deploying the system on the physical production line, it is crucial to validate it by developing user-friendly dashboards for operators. These dashboards should allow real-time monitoring of inputs and outputs, process parameters, and system alerts.
