1. Solidified expert experience for knowledge accumulation
NLP (natural language processing) is performed on a large number of maintenance orders to acquire relevant knowledge, which is connected through knowledge graphs to build a knowledge graph database. In this way, expert experiences are solidified into long-lasting knowledge.
2. Fault inference
In case of a fault, inferences are drawn from the data of the faulty node, vehicle model, and parts to help identify the root cause.
3. Semantic retrieval
The system performs semantic analysis based on the fault description to quickly find the similar cases and recommend applicable maintenance solutions.