Effectiveness Evaluation of Accurate Prevention and Control of Civil Aviation Illegal Interference Behavior Based on Knowledge Graph and GA Algorithm

Abstract

Illegal interference in civil aviation has a relatively short development history in our country. However, with the country's gradual intensification of aviation safety supervision, and the continuous innovation, update and improvement of relevant technical means at home and abroad, the current domestic civil aviation prevention and control work has been exposed. There are many problems. Based on the knowledge graph and GA algorithm, this paper constructs a monitoring model for effective prevention and control of civil aviation illegal interference behavior, outlines the concept of knowledge graph and the classification of civil aviation illegal interference behavior, and designs and develops a precise prevention and control system for civil aviation illegal interference behavior. The system was tested, and the test results showed that the recognition rate of accurate prevention and control basically reached 90%.