It can not only clearly display the status of the material level on the belt but also intelligently adjust the ship unloading speed based on the data, thereby improving the overall operation efficiency and safety.

A thermal power generation enterprise monitors and alarms the tear of the coal conveying belt during production operations, providing an automated detection capability for the first time to detect the tear of the belt and stop the machine in time. This application case provides an enterprise with staff reduction and efficiency, and reduces the economic losses caused by the failure to detect the tear of the belt in time.

In a mining terminal company in the north, by using the belt machine 3D lidar + line scan laser video recognition intelligent monitoring system, integrating laser detection, line scan laser and high-resolution video recognition equipment to obtain the status data of the belt machine, after data analytics and intelligent decision diagnosis, the alarm is carried out on the 3D simulation interface. When there is an abnormality such as material blockage at the belt transfer, timely warning can be given, so that the cost of inspection personnel of the belt machine is reduced, the inspection efficiency is improved, and the maintenance cost is reduced. It provides a guarantee for enterprises to reduce staff and increase efficiency to ensure the safety of operations.