计算技术与自动化2024，Vol.43Issue(2)：41-46,6.DOI:10.16339/j.cnki.jsjsyzdh.202402007
基于AIOT技术的深基坑一体化作业安全视觉监测方法
Safety Visual Monitoring Method for Integrated Operation of Deep Foundation Pit Based on AIOT Technology
刘少博 1杜水婷 1徐鹏 1张建锋1
作者信息
- 1. 国网甘肃省电力公司,兰州 甘肃 730050
- 折叠
摘要
Abstract
In view of the high safety risk of deep foundation pit integrated operation,a visual safety monitoring method for deep foundation pit integrated operation based on aiot technology is studied.The binocular vision camera is used to collect the image of the integrated operation monitoring area of deep foundation pit,and the Internet of things node is used to trans-mit the collected image to the remote monitoring center.After the remote monitoring center receives the images,the Kalman filter algorithm is used to optimize the monitoring images of deep foundation pit integrated operation.Use the YOLOv3 algo-rithm that has completed the training to identify whether there are operators who do not wear safety helmets and enter the dangerous area by mistake.When there are operators who do not wear safety helmets and enter the dangerous area by mis-take,use the Internet of things node positioning method to locate the position of dangerous operators,so as to realize the in-tegrated operation safety monitoring of deep foundation pit.The experimental results show that this method can effectively monitor the operators who do not wear safety helmets and enter the dangerous area in the integrated operation of deep foun-dation pit,and improve the control level of the integrated operation of deep foundation pit.关键词
AIOT技术/深基坑/一体化/作业安全/视觉监测方法/YOLOv3Key words
AIOT technology/deep foundation pit/integration/operation safety/visual monitoring method/YOLOv3分类
建筑与水利引用本文复制引用
刘少博,杜水婷,徐鹏,张建锋..基于AIOT技术的深基坑一体化作业安全视觉监测方法[J].计算技术与自动化,2024,43(2):41-46,6.
