{"title":"基于机器学习方法的桥梁病害原因分析","authors":"Q. Xu, Lixin Liu, An Zhao, Jianyong Song","doi":"10.23919/WAC55640.2022.9934188","DOIUrl":null,"url":null,"abstract":"Bridge disease analysis obtained by artificial and information systems is an important work, and there is still no efficient or intelligent method at this stage. In order to improve the intelligent level of this technology, according to the standards, methods and information status of bridge detection and evaluation, this paper puts forward the framework and method of constructing the knowledge base of bridge disease causes and maintenance measures. Starting from the artificial intelligence method based on machine learning, this paper explores the idea of solving the intelligent diagnosis of bridge diseases, puts forward a technical development direction of standardization, standardization and intelligence of bridge detection and evaluation, and also provides reference for further research of practitioners in the industry.","PeriodicalId":339737,"journal":{"name":"2022 World Automation Congress (WAC)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Causes Analysis of Bridge Disease Based on Machine Learning Method\",\"authors\":\"Q. Xu, Lixin Liu, An Zhao, Jianyong Song\",\"doi\":\"10.23919/WAC55640.2022.9934188\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Bridge disease analysis obtained by artificial and information systems is an important work, and there is still no efficient or intelligent method at this stage. In order to improve the intelligent level of this technology, according to the standards, methods and information status of bridge detection and evaluation, this paper puts forward the framework and method of constructing the knowledge base of bridge disease causes and maintenance measures. Starting from the artificial intelligence method based on machine learning, this paper explores the idea of solving the intelligent diagnosis of bridge diseases, puts forward a technical development direction of standardization, standardization and intelligence of bridge detection and evaluation, and also provides reference for further research of practitioners in the industry.\",\"PeriodicalId\":339737,\"journal\":{\"name\":\"2022 World Automation Congress (WAC)\",\"volume\":\"44 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-10-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 World Automation Congress (WAC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.23919/WAC55640.2022.9934188\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 World Automation Congress (WAC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.23919/WAC55640.2022.9934188","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Causes Analysis of Bridge Disease Based on Machine Learning Method
Bridge disease analysis obtained by artificial and information systems is an important work, and there is still no efficient or intelligent method at this stage. In order to improve the intelligent level of this technology, according to the standards, methods and information status of bridge detection and evaluation, this paper puts forward the framework and method of constructing the knowledge base of bridge disease causes and maintenance measures. Starting from the artificial intelligence method based on machine learning, this paper explores the idea of solving the intelligent diagnosis of bridge diseases, puts forward a technical development direction of standardization, standardization and intelligence of bridge detection and evaluation, and also provides reference for further research of practitioners in the industry.