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基于深度学习的起重机安全监测
引用本文:许开瑜.基于深度学习的起重机安全监测[J].起重运输机械,2020(7):84-86.
作者姓名:许开瑜
作者单位:攀钢集团攀枝花钢钒有限公司
摘    要:随着科学技术的不断发展以及计算机计算能力的加强,深度学习在人们社会生活中发挥着越来越重要的作用。而随着城市的发展,土地资源越来越紧张,迫切需要高层和超高层的建筑。在高层和超高层建筑的建造时,起重机发挥着不可替代的作用,如何确保起重机周围环境的安全成了人们密切关注的问题。结合深度学习,对起重机周围环境安全进行监测,保证人员与起重机和建筑与起重机之间的安全,可有效地避免事故的产生。

关 键 词:起重机  深度学习  安全监测  事故

Crane safety monitoring based on deep learning
Xu Kaiyu.Crane safety monitoring based on deep learning[J].Hoisting and Conveying Machinery,2020(7):84-86.
Authors:Xu Kaiyu
Abstract:With the continuous development of science and technology and the improvement of computer computing ability,deep learning is playing an increasingly important role social life of people.However,with the development of the city,land resources are becoming more and more tight,and it is urgent to build high-rise and super-high-rise buildings.During the construction of high-rise and super-high-rise buildings,cranes play an irreplaceable role.How to ensure the safety of areas surrounding cranes has become a matter of close attention.Combined with deep learning,we monitored the safety of the surrounding area of cranes so as to ensure the safety of areas between personnel and the crane as well as buildings and cranes and effectively avoided accidents.
Keywords:crane  deep study  safety monitoring  accident
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