In 2021, the State Council issued the "Outline of the 14th Five-Year Plan for National Economic and Social Development and the Long-Range Objectives Through 2035", proposing to build benchmark enterprises for smart factories. In the process of manufacturing factories transitioning from weak to strong, the market demand for smart factories is overwhelming. How to make the smart factory "have speed, accuracy, and depth" during construction is a severe test for every factory in this era, and also a problem that factory managers must consider.

Adhering to the craftsmanship spirit, Alps System Integration (Dalian) Co., Ltd. (abbreviated as "ALSI") focuses on multiple solutions such as manufacturing, automotive, and enterprise general digitalization. Based on ALSI's unique intelligent algorithms, it has built a smart factory collaboration platform with intelligent management and real-time equipment monitoring as its core, providing more comprehensive and personalized "technology + product + service" smart factory upgrade support for the intelligent transformation of manufacturing factories.

The ALSI Intelligent Maintenance System is an intelligent management system tailored by ALSI for factory equipment maintenance and repair, aiming to contribute to the smooth transition of factories to smart factories. The biggest highlight of this system is equipment health intelligent early warning. Specifically: by using basic equipment information, operation information, and historical information, it evaluates equipment health scores. When the equipment is in a "sub-health" state, it can predict and perform maintenance in time, preventing any potential equipment failures. For example, the process of monitoring and intelligent diagnosis for a machine tool production equipment is as follows: through a strong combination with the ALSI equipment status monitoring system, real-time or scheduled data collection is achieved. By statistically analyzing historical data, it predicts abnormal settings and faults during machine tool operation, thereby avoiding defects, reducing equipment wear, and ensuring timely repairs when faults occur. Once the two systems join forces, they complete data response at lightning speed, accurately find the best maintenance personnel, deeply explore equipment operating status, and achieve early prevention and early maintenance. This completely gets rid of the difficult situation where equipment management is limited to post-failure repairs, and equipment failures lead to frequent defective products affecting factory reputation, truly realizing the construction of a smart factory "with speed, accuracy, and depth".

   In the wave of smart factory transformation, equipment maintenance is particularly important in the intelligent field of manufacturing factories. The ALSI Intelligent Maintenance System revolves around equipment, carrying out equipment lifecycle management, equipment status and performance monitoring, and visual display during the maintenance process, among other methods. By deepening the integration of digitalization with manufacturing factories and deeply mining data value, it achieves a solid path of data-driven assistance in building smart factories.