Features
Through it's integration with the QCX system structure and the involved process equipment and analytical devices, QCX/BlendExpert provides on-line and automatic data acquisition from the process and the relevant analytical device(s) and combines automatically the collected data as required for the mix optimization task.
QCX/BlendExpert optimization is based on a unique combination of linear and quadratic equation algorithms incorporating multi-variable adaptive or predictive control techniques. This combination ensures optimal solutions even when operating under various process constraints. The module includes advanced analysis estimation facilities for use in situations where the raw material analyses - due to natural fluctuations - are poorly determined in beforehand.
The optimising algorithms ensures at all times the best possible control under the constraints of the actual operational conditions. Chemical target set points can be defined using terms as 'greater than', 'less than', 'range' and 'equal to'.
The software structure allows the user to configure and later on modify the material accounting and associated control in accordance with the actual process lay-out and the desired control strategy. Standard software features for mill control - whether based on traditional lab X-ray analysis or on-line analysis techniques - include:
- On-line Production Accounting
- On-line set point control
- Sample Analysis Calculation
- Composition Estimation
- Raw Material Proportioning
Optimising
QCX/BlendExpert optimization is based on a unique combination of linear and quadratic equation algorithms incorporating multi-variable adaptive or predictive control techniques. This combination ensures optimal solutions even when operating under various process constraints:
• linear quadratic optimization techniques
• adaptive and/or model based predictive control optimization in accordance with the relevant process equipment dynamics, material transport delays and storage system characteristics
• advanced priority selection between multiple sets of control set-points/set-point ranges. For each so-called constraint set (or priority set), individual optimizing parameters can be applied. Where conventional control methods often under constraint situations results in poor control, this unique approach means that best possible expert control is always achieved.
• Chemical target set points can be defined using terms as ‘greater than’, ‘less than’, ‘range’ and ‘equal to’.
• material cost is possible as optimization parameter.
• a wide range of coordinated optimizing and set-point control utilities for automatic handling of disturbances/events such as feeder blockages, feeder start/stop, deviation between demanded and realized feed, changes in total mill production etc.
