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Video, Image & IoT Based Optimisation

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Overview

Mining Circuits and Resource Extraction Circuits are being optimised by using a combination of Video and Image data, IoT data, Artificial Intelligence and Machine Learning.

 

The data collected from video and images are being combined with IoT telemetry to optimise throughput.

 

Collected data will also lead to an ability to predict downtime events and failures resulting in greater uptime and greater production efficiency.

 

Given the high volume of material through these circuits, even small percentage improvements in throughput and production efficiency are resulting in millions of dollars of profit being added to the bottom line.

 

Data can be processed in real-time on IoT Edge devices in zero-trust or low connectivity environments, with insights sent into the cloud for aggregation and modelling improvement as needed.

Data Collected

Circuit Data

  • Sensor data from the environment including temperature, sound and vibration.
  • Unstructured image data and video data.

Historian Data

  • Equipment and circuit settings, run hours, resource consumption, network settings, environmental monitoring.
  • Flow rates, levels, weights, feeder speeds, pressure, etc.
  • Scheduled and unscheduled downtime event history.

Key Technologies and Processes

Collect and Centralise the Data

  • Accelerators to ingest unstructured image and video.
  • Accelerators to ingest Iot and Iot Edge data into storage.
  • Store large amounts of structured historian data.
  • Ingest and store environmental factors.

Transform the Data into Useful Insights and Predictors

  • Use Artificial Intelligence to identify events and key features from HD video and image data.
  • Machine learning and analytics is used to combine features of unstructured data, IoT data and historian data to identify opportunities for exploitation and optimisation.
  • Live stream data to enable analytics and monitoring in real-time for operators as well as KPIs and dashboards.
  • Determine correlations to exploit between environment factors and production.
  • Predict downtime events and send alerts and warnings to mobile devices or monitoring screens for intervention.

Realtime Machine Monitoring and Alert

Outcomes

  • Even small percentage increases in optimised throughput can lead to millions of dollars in increased revenue and profitability.
  • Understand circuit health key performance indicators in real time to measure productivity and identify potential losses through the extraction process.

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