This document aims to assist in using the dashboards created to meet the process operators' needs in using the Flotation App. This help article will be divided into sections representing all the dashboards added for the operator:

The alerts will indicate an amber colour when any of the variables in question for the feed circuits, overall performance, or section performance are outside the specification, and the user will also hear a sound.

By clicking on the alert button, the user will be redirected to the specific dashboard to obtain more detailed information.

b. As part of the Alerts, for the created Data Quality metrics, a Data Quality Alert indicates whether any of the input metrics have a Data Quality issue.

If so, the alert will trigger, assume an amber colour, and inform the Operator that one of the input data metrics is outside the expected ranges.

c. The alerts for new recommendations of control variable setpoints will activate in amber colour whenever the current values deviate significantly from the recommended values. This allows the user to check the new recommendations whenever there is a significant difference from the current values. By clicking on the button, it is possible to access the Optimizer Screen, where further action is taken.

This alert will function as a global alert. This means that whenever a significant difference is detected in at least one flotation cell for a control variable in relation to the recommended value and setpoint, the system will trigger a single alert for the operator to adjust the setpoints. This streamlines the monitoring and maintenance process, ensuring that the operator is promptly notified whenever a relevant discrepancy occurs, facilitating quick and effective decision-making.
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​2.Feed Dashboard
This Dashboard allows the user to visualize which feed variable metrics are out of bounds. This way, it is possible to locate the source of the problem more quickly (for example problems in the grinding circuit) and resolve the issue easily.

In the first section of the Dashboard, it is possible to identify the values for feed grade, particle size (P80 and P95), and feed flow rate. By hovering the mouse cursor over the bar charts, it is possible to identify the minimum and maximum values defined by the user's strategy, as well as the actual value for each of these parameters.

For each parameter, there is a chart available that can be observed in both live and historical modes, showing the variations of the selected variable over the chosen period.

3. Overall Performance

This dashboard allows the user to visualize the key metrics and their performance within the circuit as a whole. Here, it is possible to view the results obtained in the concentration process and take proactive actions based on the data that are not within the expected values.

The same concept applied to the feed section is used in this dashboard, highlighting the first charts to understand the current values and their respective maximum and minimum assigned values for Metal Recovery, Concentrate Grade, Tailings Grade, and Mass Pull.

Once again, it is possible to observe line charts displaying the current (Virtual Sensor) and Optimized states. At this point, one can assess the difference between these two. By hovering the mouse cursor over the chart lines, it is possible to check the values available for the analyzed period.

4. Section Performance

In this dashboard, the user is able to see the status of the main performance metrics on the section level, identify when the problem has started, and determine which parts of the section are potentially causing the identified underperformance.

The user will have visibility into each concentration stage involved in the circuit (Rougher, Cleaner, Scavenger...), the main results obtained for each stage, and, most importantly, the parameters involved in each flotation cell, providing granularity and increasing accuracy in the action to be taken to correct any circuit failures.

The same concept as in the previous dashboards is applied to the range widgets and line graphs, displaying limit values (maximum and minimum) for each parameter of the respective stage: Metallurgical Recovery, Concentrate Grade, and Mass Pull.

In addition to these valuable pieces of information, the user can also evaluate the main values obtained by the virtual sensors through bar and line charts per cell.

By hovering the cursor over the lines in the charts, the user will have cell-level information for each variable currently employed, including Recoveries, Residence Time, Airflow Rate, and Froth Depth.

For more information, and how to action this on your plant, feel free to contact IntelliSense.io directly.