Advanced Control and Supervision of Mineral Processing Plants

In this review of Advanced Control and Supervision of Mineral Processing Plants the focus is on readers who design or operate mineral processing systems and need rigorous, application-oriented guidance. The book is best for control engineers, process modelers and systems integrators because it anchors theory in equipment-level dynamic models and shows how to use those models for control design, data reconciliation and soft sensing. The single biggest reason to buy is its practical treatment of integrating simulation with control and diagnostic schemes for comminution and flotation circuits.

Key Features

• Dynamic modeling: Uses dynamic models of mineral processing equipment to support realistic control design and simulation studies for equipment behavior under varying conditions.
• Control design integration: Demonstrates how simulation tools can be used to design and validate control strategies for comminuting circuits and flotation columns.
• Soft-sensing methods: Covers design of soft sensors using single-point measurements and more complex inputs such as images to estimate unmeasured variables.
• Data reconciliation and diagnostics: Surveys data reconciliation techniques and shows their role in instrument architecture and fault diagnosis to improve measurement reliability.
• Implementation platforms: Describes distributed control and information management platforms and toolkits available for deploying control and supervision schemes in mineral processing plants.

Who It's For

This book is aimed at practicing control engineers, process modelers, and plant automation specialists working in mineral processing who need a bridge between dynamic process models and implementable control, soft sensing and diagnostic systems. Academics developing applied coursework or research on flotation and comminution control will also find the worked examples useful.

It is less suitable for readers seeking a purely theoretical treatment of control or a beginner text in mineral processing basics; knowledge of process control concepts and plant equipment is assumed, so readers without prior exposure should pair this with an introductory mineral processing text.

Pros & Cons

Pros

• Practical focus on using dynamic models to design and validate control strategies for real plant equipment.
• Clear guidance on creating soft sensors from simple and complex measurements, including imaging-based approaches.
• Useful survey of data reconciliation methods tied to instrument architecture and fault diagnosis.

Cons

• The book assumes prior familiarity with mineral processing and control theory, so it is not an introductory textbook.

Specifications

Our Verdict

Advanced Control and Supervision of Mineral Processing Plants is a practical, well-structured resource for engineers and integrators who need to translate dynamic models into working control, soft-sensing and diagnostic solutions. Its emphasis on real equipment examples and implementation toolkits makes it good value for professionals focused on improving plant performance through model-based control and measurement reconciliation.

Frequently Asked Questions

Does the book include practical examples for flotation and comminution?
Yes, it illustrates tools and methods specifically applied to comminuting circuits and flotation columns using dynamic models and simulation.

Will this teach me basic mineral processing concepts?
No, the book assumes familiarity with mineral processing and concentrates on control, modeling and implementation rather than introductory process theory.

Does it cover implementation tools and control platforms?
Yes, it surveys distributed control systems and toolkits for deploying control, data reconciliation and supervision schemes in mineral processing plants.