摘要
为应对地铁盾构施工事故频发的问题,构建基于RUSBoost算法的地铁盾构施工安全预警模型,以空间单元为对象提取样本数据集训练模型,训练好的模型可以实时监控施工现场的安全状态,预警潜在的事故。结果表明:该安全预警模型具有良好的泛化能力,预测准确率较高,且运行时间短,具备一定的可推广性。
In order to cope with the frequent occurrence of subway shield construction accidents,a subway shield construction safety early warning model based on the RUSBoost algorithm was built,and a sample data set training model was extracted using spatial units as the object.The trained model could monitor the safety status of the construction site in real time and early warn potential accidents.The results showed that the safety early warning model had good generalization ability,high prediction accuracy,short running time,and certain generalizability.
作者
李英攀
李淑娟
孙志凌
管慧
LI Ying-pan;LI Shu-juan;SUN Zhi-ling;GUAN Hui(School of Civil Engineering and Architecture,Wuhan University of Technology,Wuhan 430070,China;Southwest Branch,China Construction Third Engineering Group Co,Ltd,Chengdu 610213,China)
出处
《建材世界》
2022年第1期70-73,共4页
The World of Building Materials
作者简介
李英攀(1978-),博士,副教授,硕导,E-mail:390386015@qq.com。
