Equipment failures are often latent in nature, following the pattern of "normal–abnormal–failure." The progression from a potential minor fault to a significant functional failure is a process. Building a smart factory requires timely detection of existing potential faults in equipment, controlling their development through maintenance and repair, thereby preventing severe failures or mitigating their impact. Additionally, faults can also be gradual—they accumulate over time, and equipment performance degrades progressively. The occurrence, development, and propagation of most faults involve a process from quantitative to qualitative change. Therefore, when constructing a smart factory, it is advisable to actively implement predictive maintenance during the fault development and propagation stages to intervene and slow down the fault progression.

Alps System Integration (Dalian) Co., Ltd., through practical implementation in over 600 factories, has developed a smart maintenance system. By leveraging proprietary intelligent algorithms, it can quickly and accurately predict the root causes of equipment failures, provide prevention suggestions and maintenance plans, improve overall equipment effectiveness, and reduce the cost of building a smart factory.

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