With the development of Internet of Things technology and cloud platform technology, more and more users want to be able to remotely diagnose and maintain products sold or held through the Internet, which can reduce the time and cost of maintenance engineers to the site, not only It saves a lot of manpower and material costs, and at the same time, it can provide customers with more efficient and high-quality services and reduce customer losses. Therefore, remote diagnosis and remote maintenance have become urgent problems for equipment manufacturers.

Construction machinery comes in a wide variety and is widely distributed. Traditional equipment management methods are inefficient and make it difficult to monitor equipment status and location in real time. Equipment failures can cause delays in construction progress and increase project costs. To enhance the management efficiency of construction machinery and ensure smooth project execution, a remote monitoring solution is required.

In the grain and oil processing industry, equipment is distributed nationwide in large quantities and diverse types. When malfunctions occur, they often go undetected until customers notice abnormalities or even shutdowns, only then notifying equipment manufacturers. This results in severe delays in after-sales maintenance and operations. Troubleshooting relies on dispatching engineers to perform on-site maintenance, which involves heavy travel workloads and high costs. When multiple equipment failures trigger alerts, it easily strains human resources, forcing engineers to endure frequent, grueling business trips.

In modern industrial production, automation systems directly impact a company's production efficiency and profit margins. Packaging machinery serves as a crucial component within these systems, replacing traditional manual labor to reduce costs and enhance efficiency, thereby contributing to the creation of intelligent, automated factories. To ensure the stable and reliable operation of packaging machinery, minimize production downtime caused by equipment failures, and simultaneously reduce increasingly high equipment management and maintenance costs, establishing an efficient, real-time data acquisition and remote monitoring system is essential.