摘要
为解决当前现有路桥工程检测方法的准确性过低的问题,结合人工智能和大数据技术,提出了一种全新的检测方法。将某路桥工程作为应用案例,对路桥影像进行采集与处理。再基于人工智能和大数据,检测并提取路桥病害信息。最后对检测性能进行验证。通过验证,明确新的检测方法准确性得到提升,验证人工智能和大数据在路桥工程检测中应用的可行性。
In order to solve the problem of low accuracy in current road and bridge engineering detection methods,a new detection method is proposed by combining artificial intelligence and big data technology.Using a certain road and bridge project as an application case,collect and process road and bridge images.Based on artificial intelligence and big data,detect and extract road and bridge disease information.Finally,validate the detection performance.Through verification,it is clear that the accuracy of the new detection method has been improved,and the feasibility of applying artificial intelligence and big data in road and bridge engineering inspection has been verified.
作者
王小萍
Wang Xiaoping(Suqian Yutong Construction Engineering Testing Co.,Ltd.,Suqian,China)
出处
《科学技术创新》
2024年第5期198-201,共4页
Scientific and Technological Innovation
关键词
人工智能
大数据
路桥
工程
检测
应用
artificial intelligence
big data
road and bridge
engineering
detection
application
