基于知识导航的汽车维修诊断方法研究

Research on Methods of Vehicle Repair Diagnosis System Based on Knowledge Navigation

汽车高效维护是影响客户对汽车售后服务企业满意度的重要指标,然而汽车维修过程是一个根据故障现象不断迭代寻找解决方案的过程,传统方法基本都是基于人工经验,此过程消耗的时间较长。通过将汽车维修经验知识与维修过程集成,建立知识库与推理库模型,开发了基于知识导航的汽车维修诊断系统,有效缩短汽车维修时间,降低维修复杂度,从而实现快速维修与高效服务的目的。

Customer satisfaction of the automobile after-sale service enterprises is under the influence of auto efficient mainte-nance. However, the car repair is one iterative process of finding a solution according to the fault phenomena. The traditional methods which are basically based on the artificial experience consume long time. It is required to establish the knowledge base model and the inference base model as well as to develop the knowledge-based auto repair diagnostic system through the integration of the auto repair experience and the repair process. Afterwards, the repair time can be shortened and the repair complexity can be reduced. Then, the rapid repair and the efficient service will be achieved.