Jiangwen Tang, J. Tang, Li Jiang, Liang Xue, Yuanhui Peng, Kaiqiang Xie
{"title":"Research on the Intelligent Monitoring System and the Prediction Model of the Stray Current in Rail Traffic","authors":"Jiangwen Tang, J. Tang, Li Jiang, Liang Xue, Yuanhui Peng, Kaiqiang Xie","doi":"10.1109/AIAM54119.2021.00111","DOIUrl":null,"url":null,"abstract":"Stray current corrosion is a gradual process which accumulates over a long period of time, and its hazards are gradually shown. However, the stray current protection is a hidden project, so it is often ignored in the engineering construction. The stray current corrosion objects are generally the important metal structures, such as station structure, tunnel structure, water pipes or firefighting pipes of metallic structure, etc. Once these metal structures are corroded, it will not only cause the potential safety hazards, but also makes the large-scale repair or replacement difficult. Therefore, the protection of stray current should be attached importance to by all parties, especially civil design and construction units. This paper first analyzed and summarized the production mechanism and the electrical principle of the stray current in rail traffic. Based on this, this paper proposed a new monitoring current and offers the calculation model of the real-time transition resistance. In addition, this paper also put forward a test method for the stray current and constructed the online intelligent monitoring system. Finally, XGBoost method was used for conduct the model research and verification, which solved the key technical problems about the intelligent detection and monitoring of the stray current in rail traffic.","PeriodicalId":227320,"journal":{"name":"2021 3rd International Conference on Artificial Intelligence and Advanced Manufacture (AIAM)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 3rd International Conference on Artificial Intelligence and Advanced Manufacture (AIAM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/AIAM54119.2021.00111","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
Stray current corrosion is a gradual process which accumulates over a long period of time, and its hazards are gradually shown. However, the stray current protection is a hidden project, so it is often ignored in the engineering construction. The stray current corrosion objects are generally the important metal structures, such as station structure, tunnel structure, water pipes or firefighting pipes of metallic structure, etc. Once these metal structures are corroded, it will not only cause the potential safety hazards, but also makes the large-scale repair or replacement difficult. Therefore, the protection of stray current should be attached importance to by all parties, especially civil design and construction units. This paper first analyzed and summarized the production mechanism and the electrical principle of the stray current in rail traffic. Based on this, this paper proposed a new monitoring current and offers the calculation model of the real-time transition resistance. In addition, this paper also put forward a test method for the stray current and constructed the online intelligent monitoring system. Finally, XGBoost method was used for conduct the model research and verification, which solved the key technical problems about the intelligent detection and monitoring of the stray current in rail traffic.