Navigate to the “New Report” section.

Schedule the financial dashboard for the SAG mill.

Set the report generation frequency to how often to receive the reports.

Get notified through an email and access the reports to analyze the SAG mill cost changes.

A set of template reports are available but can be completely customized on request to IntelliSense. io. These reports are listed in the “Run Report by Template”.

Scheduled and template reports are stored in the “My Files” section for later.

A link to the Scheduled and template reports can also be sent to the user’s email with the subscription.

Open any browser on a laptop, tablet, or smartphone.

Enter the site specific web address.

Enter your secure email and password.

brains.app runs on any browser type.

brains.app runs on any screen resolution and size.

Screens are fully reactive and can be manipulated (zoomed) to change the amount of content shown.

The user type is displayed in the “My Profile” section. The “Search” screen is the new user default home screen.

Navigate to the asset/area from which reconciliation is required on the “Search” screen and select the “Info” icon under that assets row.

Navigate to the “Files” tab of that asset.

Reconciliation files can be downloaded to view in either .pdf or .xls format.

Reconciliation files are generated automatically but can also be requested on demand through the “Help” icon.

NEW! The next release of brains.app digital plant contains a reconciliation configuration screen from which users can set up their own reconciliations.

Try comparing Intellisense.io reconciliation against your existing spreadsheet.

Navigate to the ‘Stockpile Information’ dashboard.

Multi-unit line widgets give the user live stockpile content information.

Stockpile properties examples:
• Average grade of different types of copper over time.
• Maximum ore hardness of the material dumped last week.
• Average Fe content over time in material coming from a specific mine.

The spatial heat map widget shows all the properties associated with the stockpile.

Move the slider on the left to select the height at which you want to see a cross-sectional slice of the stockpile.

The legend on the right relates the colors to the property values.

This is a quick way to see what is in a stockpile, without the need to export it in 3D block model format.

Navigate to ‘New Projects’.

Configure a project with the asset and metrics which make up the project goals.

A visual showing the results of the goals.

Compare the project metrics (e.g. metal concentration (g/l) and pH) against the benchmarked time period with the current or at an overall target.

The goals can be set up in three ways; greater than, less than, and equal to plus or minus a percentage.

Comparing the standard deviations is a great way of bench-marking variance.

Once a project is closed you can archive it for later use if needed.

Navigate to the “Gas Holdup” dashboard which comes with the flotation application.

Observe the real-time gas holdup metrics (ratio).

Observe the same variables sent to the OT (operational technology) network and are visualized in the control room alongside.

Hybrid deployments do not rely on the internet and so are more reliable.

There is less change management in this case as the same physical screens can be used to onboard users.

The metrics can be used in existing control loops.

The online version of brains.app can be used for much more powerful simulations such as running ”what if” scenarios for different control.

The equipment condition virtual sensors are attached to the “SAG Mill” digital asset.

Select the “Liner Model” and/or “Ball Charge” dashboards provided with the subscription.

The line graph depicts the height of the liner and lifter including uncertainty.

The user can infer the remaining equipment lifetime.

The ball charge model provides the ball charge (%), weight (t), size distribution (%) and the next expected ball addition.

Follow the expected ball addition information to optimise performance.

To constantly calibrate the ball charge model outputs in real time, users can add the ball additions manually into the application to increase model accuracy.

Record the data entries with the “Data Input” widget on the dashboard.

Navigate to the “Performance Screen”.

Open the “Lithology” Tab.

Select the asset of interest.

The lithology types are listed in the legend.

The “influence” this lithology has on this particular asset type is highlighted in a simple traffic light colour coding.

The traffic light system means that no previous knowledge of the material type is required.

This is generated through the material transport model that links the block model to the rest of the circuit.

Check other feed material properties available in the “Feed” drop-down (e.g. P80, flow rate, density).

Use this tool in “Live” mode to see potential upcoming changes and communicate concerns back to geology or mining.

Navigate to the “Dashboards”.

Select the SAG Mill - Overload Dashboard.

Hover on the line graph for the overload probability to know how close an overload event is in %.

The overload alert turns on when action is required (e.g. over 70% probability).

The overload model provides you with information to estimate feed reductions to prevent overloads.

The brains.vos provides the financial returns based on different control strategies.

Line graph widget types are the best source of raw data.

Try adding a constant data type to the app, these can be used to set limits and are great for dynamic equations.

Navigate to the “Pump Performance Screen”.

Open the “Optimise” tab. Select the Pump station.

It displays the detailed statistics of that Pump station with the pumps running information over time.

Hover on the graphical representation and observe the pump status in detail.

The Performance Variables table compares the recorded/ live data with the actual observed data the output of the optimisation model.

Observe the line graph representation of the pump stations in the pipeline to get more insight.

A smaller time resolution enables the metric table with the “Current”, “Optimise” and “Observed” performance variables.

The action time recommendations indicate the next scheduled event when pumps need to be turned off or on.

The observed column in the performance variable table is applicable only in the Historic time stamp.

Navigate to the “Optimisation Admin” screen and enter the required limits/constraints and targets of the process.

Preview changes before implementing them.

The preview is visually represented in the graphs.

The “Parallel Coordinate Graph” highlights the positive / negative impact each control variable option will have on the system.

Use this screen in historic mode to analyse where the “effort” could have been changed in different operational scenarios.

Once saved the resultant recommendations will be instantly applied to the operator screen and so no verbal communication is required with the operator.

The “Parallel Coordinate Graph” is one of the few methodologies for visualising what the optimiser is thinking ensuring transparency.