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Mill Ball Discharge Monitoring - Scat Tracking

Monitor the morphological distribution of ball scrap without exposing personnel to risk.

The Challenge

Morphology of scrap difficult to monitor safely

The client needs to know the morphology of ball discharge to understand the condition of the material at the end of its life and support operational decisions without exposing personnel to manual inspection risks.

The Solution

Autonomous monitoring of scrap morphology

Autonomous monitoring service of ball scrap based on a self-sufficient, lightweight, and robust IoT device powered by solar energy or long-lasting batteries. It captures periodic photographs to generate a morphological history of the discarded material.

Benefits

Reduced personnel exposure

Reduced personnel exposure

Reduces personnel exposure during scrap inspections.

Historical evidence

Historical evidence

Provides visual and historical evidence.

Operational decisions

Operational decisions

Facilitates operational decision-making.

Simple and autonomous installation

Simple and autonomous installation

Autonomous device requiring minimal client resources and less installation engineering.

Low maintenance

Low maintenance

Low maintenance, approximately monthly.

Robustness in the field

Robustness in the field

Plug-and-play equipment, robust and suitable for mining environments.

How does the solution work?

How does the solution work?

Click to enlarge

Transforming operational data into actionable information

Compared with heavier solutions or traditional cameras, it requires fewer customer resources and less installation engineering, and delivers useful operational data through a standalone device.

Captured information
01
Periodic photographs
02
Date and time
03
Device status
04
Battery autonomy
Processing
Image analytics and morphological classification of scrap
Results
01
Photographic history
02
Morphological distribution curve
03
Scrap reportability
04
Data to support mill operation decisions
05
Morphological Classification
06
Support in product quality and traceability analysis
Continuous improvement
Captured information
01
Periodic photographs
02
Date and time
03
Device status
04
Battery autonomy
Processing
Image analytics and morphological classification of scrap
Results
01
Photographic history
02
Morphological distribution curve
03
Scrap reportability
04
Data to support mill operation decisions
05
Morphological Classification
06
Support in product quality and traceability analysis
Continuous improvement

Where does the solution apply?

SAG mill scrap stockpiles

Ball mill scrap stockpiles

Vertical mill scrap stockpiles

Click to enlarge

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