+61 (0) 8 9240 4357 info@processIQ.com.au

Advanced Process Control

Improve throughput, recovery and efficiency

In addition to basic process control and automation requirements, Process IQ Pty Ltd provide Advanced process control (APC) services to the minerals processing industry. The minerals process industry has many unique challenges in optimising the processes.

The following are examples of these challenges:

  1. The composition, size and other properties of the feed can change over time.
  2. The condition of the plant process equipment and reagents can also change over time.
  3. Often there is long time delays before the control system receives updated information.
  4. Many process plants are very interactive and various sub-sections can influence one another both downstream and upstream. For example, the product from a milling circuit is accepted by the flotation circuit, within the flotation circuit there can be many re-circulation flow.
  5. In addition to these problems plants can be controlled in different ways by different plant shifts operators.

Basic control systems often do not take this variability and interaction into account is an efficient manner.

Process IQ provide solution to improve throughput, recovery and efficiency.

We achieve this by stabilising and optimising various minerals processing plants like milling, flotation and leaching processes. Process IQ can provide a broad range of APC techniques and technologies.

The techniques we use range include:

  • Advanced regulatory control (ARC) such as feed-forward, override or adaptive gain.
  • Multivariable or Model Predictive Control (MPC). This technique can use un-equal inputs and outputs to control dynamic relationships (models) between them. One example is matrix based control and optimization algorithms to control multiple variables simultaneously.
  • Soft sensor or inferential measurements: Calculate a stream property from readily available process measurements, such as flowrate, temperature and pressure. This technique can be used very effectively where there is a lak of online instruments and regular laboratory analyses. The measurements must connected into a control strategy as a replacement for a physical measurement.
  • Nonlinear MPC: Similar to Multivariable MPC but it does not have the requirement for model linearity. Nonlinear MPC is capable of accommodating processes with models that have varying process gains and dynamics (i.e. dead-times and lag times).

Process IQ can make use of the Mintek StarCS Advanced process control platform to implement control solutions in minerals processing plants.

In addition to basic process control and automation requirements, Process IQ Pty Ltd provide Advanced process control (APC) services to the minerals processing industry. The minerals process industry has many unique challenges in optimising the processes. The following are examples of these challenges:

  1. The composition, size and other properties of the feed can change over time.
  2. The condition of the plant process equipment and reagents can also change over time.
  3. Often there is long time delays before the control system receives updated information.
  4. Many process plants are very interactive and various sub-sections can influence one another both downstream and upstream. For example, the product from a milling circuit is accepted by the flotation circuit, within the flotation circuit there can be many re-circulation flow.
  5. In addition to these problems plants can be controlled in different ways by different plant shifts operators.

Basic control systems often do not take this variability and interaction into account is an efficient manner.

Process IQ provide solution to improve throughput, recovery and efficiency. We achieve this by stabilising and optimising various minerals processing plants like milling, flotation and leaching processes. Process IQ can provide a broad range of APC techniques and technologies. The techniques we use range include:

  • Advanced regulatory control (ARC) such as feed-forward, override or adaptive gain.
  • Multivariable or Model Predictive Control (MPC). This technique can use un-equal inputs and outputs to control dynamic relationships (models) between them. One example is matrix based control and optimization algorithms to control multiple variables simultaneously.
  • Soft sensor or inferential measurements: Calculate a stream property from readily available process measurements, such as flowrate, temperature and pressure. This technique can be used very effectively where there is a lak of online instruments and regular laboratory analyses. The measurements must connected into a control strategy as a replacement for a physical measurement.
  • Nonlinear MPC: Similar to Multivariable MPC but it does not have the requirement for model linearity. Nonlinear MPC is capable of accommodating processes with models that have varying process gains and dynamics (i.e. dead-times and lag times).

Process IQ can make use of the Mintek StarCS Advanced process control platform to implement control solutions in minerals processing plants.

 Advanced Process Control image

Process IQ Pty Ltd

Unit 1 / 23 Gibberd Road Balcatta

WA 6021 Western Australia

 

Tel: +61 (0) 8 9240 4357

Fax: +61 (0) 8 6316 0486

Email: info@processiq.com.au