INTELLIGENT OPERATION AND MAINTENANCE SCHEME FOR AIRPORT INFORMATION SYSTEMS

In order to solve the problems that the traditional operation and maintenance scheme of airport information system is difficult to make full use of various monitoring data in the system, which leads to difficulties in fault detection and location, an intelligent operation and maintenance scheme for an airport information system is proposed. A dynamic threshold prediction method based on the CatBoost model was proposed to predict the dynamic threshold by time series. A fault cause analysis method based on the correlation score algorithm of fault alarm information was proposed, and the fault tree was drawn by calculating the correlation score of alarm information within the time window to realize the fault cause analysis. The experimental results show that this solution can achieve rapid troubleshooting of airport information systems and ensure the reasonable allocation of airport security resources, thus solving the operation and maintenance problems of civil aviation airport information systems.