Kaidi Liu, Zhibin Gao, Fengchen Chen, Qing Ye, Huanjing Jiao
{"title":"Application of Airport Pavement Structure Safety Detection and Intelligent Recognition Technology","authors":"Kaidi Liu, Zhibin Gao, Fengchen Chen, Qing Ye, Huanjing Jiao","doi":"10.1109/ISTTCA53489.2021.9654781","DOIUrl":null,"url":null,"abstract":"With the rapid development of the civil aviation industry, the pressure on the airport pavement caused by the huge passenger flow has also increased, and the quality of the airport pavement is facing a severe test. The condition of airport pavement directly affects flight safety, so it needs to be tested in time. However, most airport pavement detections are mainly done manually by pavement inspectors, which generally takes a long time. This affects airport operations, and cannot meet safety detection requirements in terms of detection efficiency and accuracy. In recent years, with the rapid development of advanced technologies such as ground penetrating radar, image recognition and ultrasonic detection technology, airport pavement structure safety detection and intelligent recognition technologies have emerged. This paper introduces the detection mechanism and intelligent identification methods of surface disease, hidden disease in structure layer, pavement strength, etc., which are high-precision, high-efficiency, and adapt to the characteristics of airport operation. This can achieve preventive and precise maintenance of airport pavements, improve airport operation efficiency and safety, reduce labor costs, material costs, and time costs of airport pavement maintenance, bring significant economic benefits, and greatly improve civil aviation airport security capabilities.","PeriodicalId":383266,"journal":{"name":"2021 4th International Symposium on Traffic Transportation and Civil Architecture (ISTTCA)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 4th International Symposium on Traffic Transportation and Civil Architecture (ISTTCA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISTTCA53489.2021.9654781","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
With the rapid development of the civil aviation industry, the pressure on the airport pavement caused by the huge passenger flow has also increased, and the quality of the airport pavement is facing a severe test. The condition of airport pavement directly affects flight safety, so it needs to be tested in time. However, most airport pavement detections are mainly done manually by pavement inspectors, which generally takes a long time. This affects airport operations, and cannot meet safety detection requirements in terms of detection efficiency and accuracy. In recent years, with the rapid development of advanced technologies such as ground penetrating radar, image recognition and ultrasonic detection technology, airport pavement structure safety detection and intelligent recognition technologies have emerged. This paper introduces the detection mechanism and intelligent identification methods of surface disease, hidden disease in structure layer, pavement strength, etc., which are high-precision, high-efficiency, and adapt to the characteristics of airport operation. This can achieve preventive and precise maintenance of airport pavements, improve airport operation efficiency and safety, reduce labor costs, material costs, and time costs of airport pavement maintenance, bring significant economic benefits, and greatly improve civil aviation airport security capabilities.