Design and Implementation of Abnormal Diagnosis Mechanism in Private Network

With the continuous development of network technology, people are trying to build various dedicated networks for encrypted communication and emergency communication scenarios. Routing devices are essential core devices in the use of dedicated networks, and monitoring their working status, diagnosing and repairing anomalies, is crucial to ensure rapid communication recovery and enhance the stability of communication systems. However, as people's demand for communication continues to increase, network devices are gradually developing towards complexity, customization, and specialization. The structure and function of network devices may vary greatly in different scenarios, posing significant difficulties for users and maintenance personnel in diagnosing network faults. Therefore, in order to assist decision-making and achieve timely and accurate fault diagnosis and maintenance of network equipment, a knowledge graph based fault diagnosis mechanism is proposed. Based on various types of fault knowledge of network devices, construct a knowledge graph, locate possible causes and possibilities from the knowledge graph based on abnormal phenomena, and provide corresponding solutions for each cause.