摘要
目的研究塔机安全施工可视化监控技术,提高塔机施工安全与运作效率。方法建立塔机安全施工可视化监控系统及使用平台,建立驾驶行为分析与疲劳警报系统,并实现塔机基础监测与吊钩可视化。结果塔机安全监控报警系统能够准确获取有效数据来判断驾驶员的行为及疲劳状态;驾驶员识别系统能够实现对驾驶员的面部识别;驾驶行为分析系统通过监管吊钩高度、小车位置和塔臂转角等参数,建立了行为规范评分机制,能够改善驾驶员驾驶行为;建立了疲劳警报系统连续驾驶计算规则,确定疲劳驾驶临界时间,并设置终端强行停止塔机运转功能。塔机基础监测系统采用公用无线数据网,实现了实时数据无线上传及记录。结论塔机安全施工可视化监控系统能够有效提高塔机施工效率,并保证塔机运转安全。
In order to improve the safety and operational efficiency of tower crane construction,a tower crane safety construction monitoring system and platform was developed.The results of the study show that the tower crane safety monitoring and alarm system is capable of obtaining accurate and valid data to determine the driver′s behavior and fatigue status.The driver identification system can realize facial recognition of the driver.By monitoring parameters such as hook height,trolley position and jib angle,the driving behavior analysis system establishes a scoring mechanism for behavioral norms to improve driving behaviors of drivers.The fatigue alarm system establishes continuous driving calculation rules,determines the critical time for fatigue driving,and sets up the terminal to forcibly stop the tower crane′s operation.The tower crane foundation monitoring system adopts public wireless data network,realizing real-time data wireless upload and record.The hook visualization system realizes automatic tracking to complete the guidance work.Engineering practice shows that visual monitoring system for tower crane safety construction can effectively improve the construction efficiency of the tower crane and ensure the operation of the tower crane safety.
作者
张延年
张学峰
张明展
朱鑫泉
高维
ZHANG Yannian;ZHANG Xuefeng;ZHANG Mingzhan;ZHU Xinquan;GAO Wei(School of Civil Engineering,Shenyang Jianzhu University,Shenyang,China,110168;First Construction Co.Ltd.,China Construction Seventh Bureau Group,Shenyang,China,113001)
出处
《沈阳建筑大学学报(自然科学版)》
CAS
CSCD
北大核心
2022年第3期559-564,共6页
Journal of Shenyang Jianzhu University:Natural Science
基金
国家重点研发计划(2019YFC1907200)。
关键词
塔机
安全监控系统
物联网技术
识别系统
驾驶行为分析
疲劳警报
towers
security monitoring systems
internet of things technology
identification system
driving behavior analysis
fatigue alert