In recent years, with the advent of Industry 4.0 and the Internet of Everything, many manufacturing factories are undergoing the transformation towards Smart Factory. How to adapt to this trend and find the key to smart factory transformation and upgrade? This article provides an important insight.

During the transformation and upgrade of smart factories, more and more factories are recognizing the importance of equipment maintenance. The traditional "breakdown maintenance" approach to equipment management has severely constrained the development plans of smart factory transformation. Alps System Integration (Dalian) Co., Ltd. (abbreviated as "ALSI") helps factories transition from traditional operation models to new digital and intelligent models, seizing the momentum of Smart Factory development, and independently developed a solution suitable for preventive maintenance and fault prediction of a large number of factory equipment—the ALSI Smart Maintenance System.

The ALSI Smart Maintenance System uses data analysis to predict equipment health status and remaining useful life of components, forming emergency plans for equipment faults. By integrating with the ALSI Equipment Condition Monitoring System, it monitors the equipment operating status 24/7, displays real-time information such as equipment maintenance and faults, and uses ALSI's unique intelligent algorithm to effectively predict equipment faults, perform early diagnosis of fault development trends, identify root causes, and take measures for preventive maintenance, avoiding production delays or even defective products caused by sudden equipment damage. This system is applicable to fault prediction and diagnosis for various types of factory equipment. For example, in an electronic component manufacturing factory, before using the ALSI Smart Maintenance System, the factory had many CNC machines with different models and systems. Although the data was interconnected, there was no health status monitoring and warning for each machine model, and there was no connection between production efficiency and equipment status. Delayed maintenance caused accelerated aging of equipment and even serious safety hazards. After using the ALSI Smart Maintenance System, based on the maintenance history of CNC machines, the failure frequency and impact of each component are analyzed to identify fault prediction and health management, establish correlations with product quality risks, optimize production and perform maintenance in a timely manner. Ultimately, the equipment health status is matched with production and maintenance plans to provide optimal scheduling suggestions, enabling the enterprise to reduce labor costs while improving operation and maintenance efficiency and production benefits, solving the urgent need for equipment maintenance in smart factories.

The ALSI Smart Maintenance System, centered on ALSI's concept of realizing Smart Factory, has been refined over 30 years in equipment maintenance. It has formed a relatively complete theoretical system and practical experience for equipment health assessment, equipment degradation prediction, fault prediction and diagnosis, providing maintenance personnel with precise maintenance solutions, truly reducing the impact of unpredictable factors on production. It has become an important lever for the transformation and upgrade of smart factories.