大数据技术在交通工程质量安全监管中的应用

The Application of Big Data Technology in Quality and Safety Supervision of Transportation Engineering

为了改善交通工程质量安全监管水平,总结了传统交通工程监管模式在人员、技术手段、信息共享等方面存在的问题,分析了B/S架构、Hadoop平台、卷积神经网络等技术在交通工程监管平台搭建中的应用。同时,从项目库管理、质量监督、安全监督、视频监控等方面探讨了大数据技术在交通工程质量安全监管中可实现的具体功能。

In order to improve the quality and safety supervision level of transportation engineering,the problems of traditional transportation engineering supervision models in personnel,technical means,information sharing,and other aspects were summarized.The application of B/S architecture,Hadoop platform,convolutional neural network and other technologies in the construction of transportation engineering supervision platform was analyzed.At the same time,the specific functions of big data technology in traffic engineering quality and safety supervision were explored from aspects such as project management,quality supervision,safety supervision,and video monitoring.