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Process data management

Empower your job by cross-referencing process variables

Our solutions find their natural application on process variables handling, mainly for steel and aluminium making activities, and provide not only the measurement of the variable but a 360 degree solution to identify process instability, weakness or vulnerability. Starting from the most accurate measured data and combining them with several variables gathered from the process during operations, our solution are capable to provide:

  • Online variable graphical trends
  • Real time identification of unusual data
  • Relationships between variables and the impact on the overall process result
  • Discovering groups in some way or another "similar" to each other
  • Generalizing known structure to forecast following process presets in order to minimize unwanted beahvour due to known errors
  • Post process data visualization and report generation to be evaluated off-line and statistical analysis


The value of handling the data for future reference

In modern industrial processes it's very important to clearly identify,on time and in the quickest possible way, variables behavior to prevent failures or a poor quality product. Measuring a stand-alone variable is quite often not enough to understand how to obtain a better product. Our data handling solution provides a complete tool to identify the cross influence of process variables with each other and the effect this combination may have on the final result: the quality of the final product.

As a pure reference example, the influence of the mill vibration on the final thickness, and one step up, the speed of the process and the vibrations of the mill may provide an idea on how to obtain a better product in term of thickness consistency.   

data comparison


Variables comparison example

Cross-referenced variables
Density Material alloy  Material temperature Chemical composition
Thickness Material temperature  Process speed  Mill vibrations
Thickness Material Alloy  Chemical composition  Density

How variables can be gathered

Variables may be acquired in several ways:

From a measuring system
The value of the variable is measured by a specific equipment, displayed and stored.
From an existing upper level of automation
The value of the variable is available in the plant upper level together with other variables. The data can be shared on digital or analog format.
Both, as a combination of the previous
Some variable values are measured, others are sent to the system via standard or custom protocols. The system will cross reference available data extracting rules for future usage.