Diamond Software Concepts

Answering questions… what data sources?Answering questions… what data sources?

Then there is business data or planning data that might not be in any of these formats, such as:

• SAP data

• Risk management data

• Excel spreadsheets

• CSV or text exports

And more…

In mining data often exist in various formats across the mine.

There might be these formats and more:

• Surpac String Files

• Surpac DTM Files

• AutoCAD DXF Files

• Microstation DGN Files

• ESRI Shape Files

• Proprietary BLOBs in databases

• Other proprietary formats

Answering questions… talk to each other?Answering questions… talk to each other?

The problem with all these various data formats and stand alone systems is that the data is not cross correlatable and business analytics is limited if your data sources can not be aligned ….

With SpatialVU as a component, you can combine data within one environment for reporting purposes:

Now you can ask questions across many different formats of data in one environment!

Answering questions… data now Answering questions… data now correlatedcorrelatedWith data now in one central reporting space… with abilities to ask questions across the data formats, true Business Intelligence is now available…

And by taking spatial data into account, you can make BI decisions also on a spatial platform… so true spatial intelligence is available for the first time.

With SpatialVU, in the above screenshot you can upload data from SQL Server directly.

This could also be from

• Oracle

• Shapefiles

• Or any of the other formats as mentioned in the previous slide

Analytics on data… spatial and business Analytics on data… spatial and business datadata

1. By linking together the data on Workplace name and Date, we could do the following analytics on the data, as the slides will show.

2. Also, we had imported surface data in this particular instance and this is cross correlatable with the underground data as you will see in the following slide:

In the example that we are going to use here we did the following:

3.Uploaded data from a proprietary system after writing an importer for the spatial data. In this way we could get the Actuals of these particular shafts.

4.Overbreak, Underbreak, Channel Gram per ton etc were data that was in another package and accessible through a CSV export.

Analytics on data.. 2D and 3D worlds Analytics on data.. 2D and 3D worlds combinedcombined

Here you can see the powerlines overhead on the ground , as well as the slimes dam. That came from a proprietary CAD package. The underground workings were a different set of files and the pinkish colour is the colour of the farm portions overhead which was an import from a shape file.

Analytics on data.. 2D and 3D in a 3D Analytics on data.. 2D and 3D in a 3D worldworld

By rotating the view slightly, you can see the surface data very clearly as seperated in depth from the underground workings.

Here we are looking at dams, powerlines, buildings, fences and farms over head and haulages, panels etc underground.

Analytics on data… 3D WorldAnalytics on data… 3D World

This is a full 3D world with real time rotate functionality.

The balls you see are measurements done on panels with thematics.

More about that on the next slides:

Analytics on data… Channel Grade per tonAnalytics on data… Channel Grade per ton

This is an example of some analytics.

We are showing channel grade per ton coloured according to the values. For 0 to 5 it is a red colour and the better it gets the more green it gets!

Analytics on data… Using thematicsAnalytics on data… Using thematics

This is how you would set up a thematic colouring. In this case I specified values on the left that would make sense and I also set a linear type colouring, in other words a gradual colouring from one colour to the other.

Analytics on data… Channel Grade per tonAnalytics on data… Channel Grade per ton

We also have a grid for viewing data from the data sources.

In this case I’ve ordered the grid per the Channel Grade per Ton number and I click on the lowest value and view this on the left hand side.

As you can see the far left measurement (and most red) is the lowest value

Analytics on data… Viewing groupingsAnalytics on data… Viewing groupings

You can see a grouping of data together by clicking on the grid and viewing for instance all of the particular workplace’s information and seeing all of the FW Ubs together of these actuals. This way, by looking at groupings in a spatial way, you can get a good idea of what is happening in this area.

Analytics on data.. Grouping per Sect. Analytics on data.. Grouping per Sect. SurveyorSurveyor

By using the grid we can do groupings by different fields (in this caser the Section Surveyor) and then thereafter, pick up minimums, maximums, sums or averages on any of these columns.

In this example we wanted to get the minimum channel grade per tonne value per surveyor.

Analytics on data… Footwall U/BreakAnalytics on data… Footwall U/Break

In this example we opened up the layer with footwall underbreak data. I wanted to see the highest underbreak so I opened up the grid and sorted by the FW UB field. I then selected the record and zoomed to this record in the map. I also set the text label to display the FW UB data on the actual measurement.

Analytics on data… Building your own Analytics on data… Building your own queryquery

You can also build your own query. For instance maybe you want to see where you had a high channel grade value in spite of a high overbreak. By building a query through simple drop down lists, you can ask the question: Give me records where I had a FW UB cm greater than 20 and a Channel G/T greater than 2. The result was only 3 records, so high FW UB does not usually lead to high G/T.

Analytics on data… Spatial Overview: Analytics on data… Spatial Overview: DecisionsDecisions

By zooming out a bit, one can have a look at an entire area and get a quick visual overview of what is going on in that area.

You can see if the mining is going fine, or if, (like in the top corner on the left) there is a potential problem that needs to be address.

This type of analytics makes for good management tools for higher profits.

Diamond Software Concepts

www.DiamondSoftwareConcepts.com

Fourways Golf Park, Selbourne House,

Roos Street, Fourways, Johannesburg

(011) 513 0888

Desiree Diamond

071 689 1322

Des@DiamondSoftwareConcepts.com