Intelligent Review of Airport Radio Navigation Source Materials
In order to solve the problem of aviation information digitization,the intelligent review of the original data of airport radio navigation facilities is studied by using computer program language,image detection and text recognition technology.Accord-ing to the publication of the original data,the functional requirement model of the third-level and second-level audit departments based on the Kano model is established,and the demand content and expected objectives of intelligent audit are quantitatively ana-lyzed by SPSS.The regular expression technology is used to solve the automatic review of the text part,the YOLOv5 image recogni-tion is used to establish the data collection,format conversion and model training of the audit attachment,and the OCR technology realizes the intelligent auxiliary review of the text recognition of the attachment.Finally,an intelligent audit system is built based on the JAVA platform.The collected inspection documents reported by airports in southwest China are input into the system,and the text and attachments are audited,verifying the accuracy of the intelligent audit system.
radio navigation source materialdemand analysisintelligent auditregular expressionYOLOv5s