Unmanned Mine by Matrix and TBEA: Ushering in the Era of Energy 4.0 (2/3)
Job Safety Clothing Detection
- This feature automatically detects if workers have complied with safe
clothing standards, which involves properly wearing helmets, masks, reflective work suits, etc.
- Matrix has deployed its own high-performance object detection network (TDetNet). The system will monitor the condition of workers on site and trigger an alarm at the control centre when safe clothing standards are not complied with.
Missing Bucket Teeth Recognition
This feature can detect when excavators working in a coal mine have missing bucket teeth :
- Object detection algorithms will analyse input from live cams installed on the front of an excavator. An alarm will trigger once a missing bucket tooth is detected.
- Object detection models are deployed on the edge computing hardware (Nvidia Jetson Xavier Nx) installed on all excavators.
Conveyor Belt Congestion Recognition
When AI detects the conveyor belt has ceased working, or that the coal storehouse entrance is stuck while the conveyor belt is still running, an alarm will trigger warning the workers on duty to take immediate action.
Magnet Condition Detection
To remove useless substances mixed with coal, the first step is to use a magnet to extract iron. The surface of the magnet needs to be regularly cleaned to guarantee its effectiveness. Matrix algorithms can assess if the magnet surface needs cleaning by analysing live camera feeds. Once unwanted matter is discovered on the magnet surface, an alarm will trigger causing the attention of workers on duty.
Return Surface Detection
Coal from the mine is transported using conveyor belts, whose surface must be kept clean on the return journey so that the belt won’t be damaged by sharp objects. Matrix algorithms can analyse the condition of the returning belt surface using live camera feeds and trigger an alarm for workers on duty once anomalies are discovered.