Project Overview

BUSINESS NEEDS
 
The client needed a system for monitoring the production of crushed stone in a quarry.
 
SOLUTION
 
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 malfunctions.
 
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.
 
TECHNOLOGIES
 
STM32F103, F407, Esp32, Altium Designer, C++,  MicroPython, EsPy, Cube, Python 3.8, Keil, Django, PostgreSQL.

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