Jinglin Hou
ABSTRACT
As the number of buildings in modern cities continues to increase, the usage of the elevator is becoming pervasive. Accurate prediction and early warning of the failure of the elevator running system can reduce effectively the consumption of elevator maintenance resources and manpower. However, due to the repetition of failure data, the weak relationship and slow update of the data, the system of failure prediction and early warning of elevator need new patterns to avoid information data bias and improve the efficiency of data storage and extraction. We analyze the existing failure prediction methods of the elevator running system and understand that knowledge graph has the characteristic of describing concepts and their interrelationships in the physical world in symbolic form. Furthermore, by associating the failure phenomena and causes and other relevant factors, we construct the knowledge graph of failure of the elevator running system and explain the process and steps of the failure prediction.
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Index Terms
- Failure Prediction of Elevator Running System Based on Knowledge Graph
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