When building a smart factory, companies often face a puzzling question: why does the failure rate remain stubbornly high even when equipment undergoes regular maintenance? In many cases, the analysis conducted after equipment fault repairs is insufficient. For enterprises transitioning to a smart factory, fault analysis is critical, as it can yield valuable insights. Only by correctly implementing fault analysis and understanding the true root causes of failures can effective countermeasures be developed and daily inspection tasks be carried out in a timely manner. Furthermore, categorizing and statistically analyzing faults enables predictive maintenance measures for similar equipment, thereby preventing future occurrences.

The smart maintenance system developed by Alps System Integration (Dalian) Co., Ltd. establishes a full lifecycle online archive for each piece of equipment. This archive comprehensively records the equipment's basic information, past fault conditions, defect classifications, and more at a glance. With the support of the smart maintenance system, maintenance personnel can gain a thorough understanding of faulty equipment, transforming the traditional reactive maintenance approach and accelerating the construction of smart factories for manufacturing enterprises.

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