Furthermore, the plan fully considers the long-term interests and personalized needs of customers, and designs an information-based value-added service plan for customer in plant equipment management. Through deep customization and integration, not only can customers achieve comprehensive monitoring and maintenance management of existing equipment, but they can also provide forward-looking equipment warnings and upgrade suggestions based on data analysis, thereby extending the service life of equipment, reducing unplanned downtime, and maximizing asset return.

By introducing remote fault diagnosis and debugging technology, the solution greatly expands the service coverage of after-sales personnel, enabling them to quickly respond and solve customer problems without the need for on-site visits. This transformation not only significantly reduces travel costs, time costs, and personnel costs, but also improves the response speed and problem-solving efficiency of after-sales service. With the help of advanced remote communication tools and data analysis technology, after-sales personnel can access device data in real time, conduct accurate diagnosis and efficient debugging, and ensure the continuous and stable operation of the storage system.

This solution not only ensures long-term stable operation, but also pays special attention to the friendliness and usability of the user interface. Through an intuitive graphical interface and simple operation process, even non professionals can easily get started and quickly master various management functions, greatly reducing the operating threshold and training costs, bringing real convenience and value to customers.

In terms of device status statistical analysis, the real data collected by hardware such as IoT gateways supports accurate evaluation of the overall efficiency (OEE) indicators of devices. This feature not only helps customers discover potential operational bottlenecks and fault risks in a timely manner, but also provides them with a scientific basis for optimizing equipment configuration and improving production efficiency. Through continuous improvement and optimization, the customer's warehouse system can achieve higher operational efficiency and lower maintenance costs.

A comprehensive post service knowledge graph has been constructed for the maintenance and management of key components. This map covers key information such as detailed technical parameters of components, maintenance processes, common faults, and solutions, providing strong knowledge support for after-sales personnel. At the same time, through platform empowerment, it can also help end users of Licu improve their self maintenance capabilities, enabling them to perform equipment maintenance and troubleshooting more autonomously, reducing their dependence on external services.

In addition, the solution also helps customers improve the efficiency of spare parts usage, reduce inventory costs, and increase secondary sales revenue by optimizing the management of spare parts and secondary sales strategies. By establishing long-term and stable cooperative relationships with customers, equipment manufacturers not only win their trust and loyalty, but also provide them with continuous value creation and value-added services, jointly promoting the healthy development of the warehouse industry.