What are the heavy machines which use sensors and what analysis is done by data generated by them

There are many types of heavy machinery that use sensors to gather data. Some examples include:

Construction equipment: Excavators, bulldozers, and other construction equipment use sensors to gather data on the position of the equipment, the amount of material moved, and the condition of the equipment.

Mining equipment: Mining trucks, drills, and other mining equipment use sensors to monitor the position of the equipment, the amount of material mined, and the condition of the equipment.

Industrial machinery: Sensors are used in industrial machinery to gather data on machine performance, production rates, and energy usage.

The data generated by these sensors is analyzed using various techniques. Some examples include:

Predictive maintenance: Data from sensors is used to predict when equipment is likely to fail, allowing maintenance to be scheduled proactively.

Equipment performance monitoring: Data from sensors is used to monitor the performance of equipment, identify areas for improvement, and optimize equipment usage.

Safety monitoring: Sensors can be used to monitor the safety of equipment, identifying potential hazards and taking action to prevent accidents.

Remote monitoring: With the help of sensors, the data generated can be analysed remotely, reducing the need for on-site inspections and enabling real-time monitoring of equipment.

Machine Learning: The data generated by the sensors can be fed into machine learning models to predict equipment failures, optimize maintenance schedules and improve overall performance