ARDI Users

Anglo-American Coal

South32

Longwall Providers

Catapillar

Marco

Komatsu

See more, understand more

ARDIs 3D presentation allows you to see many measurements at once – which help you understand what is really going on underground, without having to spend time investigating.

The more people understand and the more they are aware of, the better the decisions they make – particularly when operating remotely

Get insight on your activity

As well as 3D visualisation, ARDI offers interactive web dashboards and customisable reports. These use your consolidated information, meaning you can report using the data from several different systems at once and have them automatically adapt when the wall changes.

You’re not locked in to the reports provided from your manufacturer – you can script your own, allowing you to get the insight you need to resolve your problems fast.

You can create…

  • Reports based on shearer position, placing information in the correct location on the map,
  • Create shear-by-shear reports to show when specific issues occurred
  • Summarise information by shift, crew, cutting mode or any other value available

Get an extra set of eyes

ARDI tools can help warn you of issues, using its consolidated information to raise alerts when there are problems appearing across your face.

It can pick up discrepancies from support-to-support and shear-to-shear, using custom rules and machine learning to identify, classify and predict problems.

It can also adapt to changes. When you move your wall and add or remove supports, new detectors are added or old ones removed automatically.

You can create…

  • Alerts to indicate the presence of cavities, failed sensors and issues with pressure balance.
  • Warnings about discrepancies from support-to-support or shear-to-shear, such as chained sprags, poorly-set supports or broken sensors.
  • Detection and prediction of events and conditions, such as predicting cavities, broken pins, leaking cylinders etc.*

* AI detection and prediction is not always possible – the nature of the issue, your environment and your sensors must be suitable.

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