The client needed a system for monitoring the
production of crushed stone in a quarry.
DataObrii implemented this solution with the
help of sensors connected to a computer using LoRa wireless data transmission.
The objectives of the monitoring were voltage supply, oil pressure, belt rate,
prediction of bearing wear and individual components of units under the
influence of an aggressive environment. Information transmission occurred with
sufficiently strong low-frequency electromagnetic interference, that were
arising during the operation of powerful electric motors.
The team applied sensors that monitored
temperature, humidity, smoke, vibration, and distance. The processed
information was represented on the operator’s display with alerts about any
RESULTS & ADVANTAGES
By utilizing ML predictive modelling in a
developed Sensor-Based Monitoring System, our customer can now accurately
predict the next failure time, determine the optimal time for conducting
maintenance work, and identify when accessories need to be replaced.