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.

In recent years, with the rapid development of the printing industry, printing machinery and equipment have become indispensable tools in modern printing processing. Modern printing machinery is further developing towards the directions of remote automation, linkage and serialization. With the intensifying market competition and the growing prominence of environmental issues, printing enterprises are paying increasing attention to the monitoring and maintenance of equipment. If printing machinery and equipment break down and fail to operate normally, it will not only affect production tasks but also bring severe economic losses. However, the monitoring and maintenance of printing machinery and equipment is a very challenging task. The complexity and diversity of equipment, as well as the intensive production environment, will all increase the difficulty of monitoring and maintenance.

Textile factories are equipped with a large number of mechanical devices. Traditional management modes make it difficult to grasp the real-time working status of equipment and adjust production schedules in a timely manner. When equipment malfunctions, it puts great demands on the professional skills of staff; delayed maintenance leads to high resource waste and cost expenditure, which seriously impacts order delivery. Traditional equipment management methods can no longer meet the needs of modern production. There is an urgent need to obtain real-time equipment operation status and adjust production plans promptly, so a remote monitoring solution for textile machinery and equipment is imperative.

In the food processing industry, the stable operation and hygienic safety of food processing machinery are of vital importance to ensuring food quality and production safety. Traditional equipment operation and maintenance methods often rely on on-site manual inspection and repair, which are inefficient and difficult to achieve timely response. Equipment failures may lead to interruption of food production, decline in product quality and even food safety issues. To improve the operation and maintenance efficiency of food processing machinery and ensure the continuity and safety of food production, a remote operation and maintenance solution is needed.