Advanced Control and Supervision of Mineral Processing Plants describes the use of dynamic models of mineral processing equipment in the design of control, data reconciliation and soft-sensing schemes; through examples, it illustrates tools integrating simulation and control system design for comminuting circuits and flotation columns. Coverage is given to the design of soft sensors based on either single-point measurements or more complex measurements like images. Issues concerning data reconciliation and its employment in the creation of instrument architecture and fault diagnosis are surveyed. In consideration of the widespread use of distributed control and information management systems in mineral processing, the book describes the platforms and toolkits available for implementing such systems.

Applications of the techniques described in real plants are used to highlight their benefits; information for all of the examples, together with supporting MATLAB ® code can be found at www.springer.com/978-1-84996-105-9.

Provides the reader with up-to-date information on the application of modern control methods in the mineral processing industries Readers can investigate the benefits of this book further using the examples and MATLAB® code available from the book's website Includes supplementary material: sn.pub/extras

Klappentext

Advanced Control and Supervision of Mineral Processing Plants describes the use of dynamic models of mineral processing equipment in the design of control, data reconciliation and soft-sensing schemes; through examples, it illustrates tools integrating simulation and control system design for comminuting circuits and flotation columns. Coverage is given to the design of soft sensors based on either single-point measurements or more complex measurements like images. Issues concerning data reconciliation and its employment in the creation of instrument architecture and fault diagnosis are surveyed. In consideration of the widespread use of distributed control and information management systems in mineral processing, the book describes the platforms and toolkits available for implementing such systems. Applications of the techniques described in real plants are used to highlight their benefits; information for all of the examples, together with supporting MATLAB® code can be found at www.springer.com/978-1-84996-105-9.

Inhalt
Process Observers and Data Reconciliation Using Mass and Energy Balance Equations.- Multivariate Image Analysis in Mineral Processing.- Soft Sensing.- Dynamic Simulation and Model-based Control System Design for Comminution Circuits.- Automatic Control of Flotation Columns.- Industrial Products for Advanced Control of Mineral Processing Plants.