Faster R-CNN模型下工程施工风险识别及防控研究
Research on Engineering Construction Risk Identification and Prevention under Faster R-CNN Model
王鹏 1王为国2
作者信息
- 1. 北京中昌工程咨询有限公司山东分公司,济南 250013
- 2. 山东北纬荣青建筑工程有限公司,青岛 266061
- 折叠
摘要
施工现场安全管理是施工管理的重要内容,随着智慧工地理念的逐步推行,引入智能技术开展施工现场安全管理成为目前施工安全管理的主要发展趋势.本文讨论一种无人机结合Faster R-CNN网络的施工风险识别方法,Faster R-CNN网络使用无人机影像识别施工现场的安全状况,经过对网络的训练和测试,对施工现场安全帽识别率达到了91％左右,还能比较准确地识别安全防护等问题.证明使用Faster R-CNN网络和无人机构建的施工安全风险管理系统能够帮助管理人员发现施工现场安全风险,保证工程的施工安全.
Abstract
Construction site safety management is an important part of construction management.With the gradual implementation of the concept of smart construction sites,introducing intelligent technology to carry out construction site safety management has become the main development trend of current construction safety management.This article discusses a construction risk identification method that combines drones with Faster R-CNN network.Faster R-CNN network uses drone images to identify the safety status of construction sites.After training and testing the network,the recognition rate of safety helmets on construction sites has reached about 91％,and it can accurately identify safety protection issues.Prove that the construction safety risk management system constructed using Faster R-CNN network and drones can help managers identify safety risks on construction sites and ensure the safety of the project.
关键词
无人机/Faster/R-CNN网络/施工风险/识别Key words
UAV/Faster R-CNN network/construction risk/distinguish引用本文复制引用
出版年
2024
NETL
NSTL
万方数据