With the widespread adoption of the Internet of Things, remote operation and predictive maintenance have moved from concept to application.

DataIntelo's data indicates that the annual compound growth rate of devices with remote monitoring capabilities is expected to exceed 8% from 2023 to 2028, which is higher than the overall market average.

Through sensors and the cloud platform, the equipment can monitor the motor temperature, mold wear, and operation data in real time. Once any abnormalities occur, it can issue an alert to prevent unplanned downtime.

For customers, the greatest value brought by this technology lies in the continuity of production and the convenience of services. Especially in overseas factories or regions where spare parts supply is not timely, predictive maintenance can significantly reduce maintenance costs and the risk of downtime, ensuring the efficient operation of equipment throughout its entire lifecycle.