Enterprises lack clear equipment maintenance and inspection plans. The construction of a smart factory is undermined by the absence of preventive concepts and measures, failing to promptly identify faults in the early stages or take effective action. Adopting a reactive equipment maintenance model results in low maintenance efficiency, leading to either insufficient or excessive repairs. Even when early fault signs appear, the root cause is not explored based on the symptoms; all equipment is managed uniformly without hierarchical differentiation. Equipment management lacks focus, and critical assets in the smart factory receive inadequate attention, causing frequent equipment failures.

The Smart Maintenance System developed by Alps System Integration (Dalian) Co., Ltd. leverages proprietary algorithms and big data analytics to enable automatic fault reporting and work order dispatching. It generates intelligent work orders for inspections, maintenance, and repairs, supporting proactive upkeep. By analyzing equipment maintenance and operational data, the system performs fault prediction and correlation analysis, enabling planned maintenance. This reduces the failure rate of smart factory equipment, effectively helping factories achieve cost reduction and efficiency improvement.

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