The O&M optimization and operation management system helps to quickly pinpoint problems and recommends the right maintenance solutions for fixing the problems.

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.