应用研究 2025年 第卷 第16期

DOI: 10. 7672 / sgjs2025160110

基于无人机的塔式起重机智能巡检系统的开发与应用

焦 鑫¹,陈宗霖¹,邱 波²,张 欣¹,范 键¹,蔡振伟¹,徐一鸣¹

作者简介：

焦 鑫,博士,高级工程师,E⁃mail:jiaoxin77@ foxmail. com

作者单位：

1. 中建三局集团(深圳)有限公司,广东 深圳 518110;2. 长沙筑瞰智能科技有限公司,湖南 长沙 410000

摘要：

当前塔式起重机安全检查仍基本采用传统人工作业方式,存在检测时间长、强度大、风险高等问题. 基于大疆 MSDK 开发工具包,采用 Java / Kotlin 编程,设计一款针对塔式起重机智能巡检 APP,以实现无人机对塔式起重机的自动飞行和拍摄,快速、准确、便捷地获取塔式起重机相关影像资料,判断塔式起重机安全隐患. 该方法能大幅提升塔式起重机检查的效率和质量. 由现场测试结果可知,无人机对塔式起重机安全隐患图像采集所花费时间约为 0. 5h;无人机智能巡检能初步甄别绝大部分塔式起重机隐患类型;存在少量的两类隐患类型无法通过无人机检查判断.
塔式起重机;智能巡检;无人机;安全隐患

English：

At present, the safety inspection of tower cranes still basically adopts the traditional manualoperation mode, which has the problems of long detection time, high intensity and high risk. Based onthe DJI MSDK development kit and Java / Kotlin programming, an intelligent inspection APP for towercranes is designed to realize the automatic flight and shooting of tower cranes by drones, and to obtaintower cranes quickly, accurately and conveniently. Relevant image data to determine the safety hazards oftower cranes. This method can greatly improve the efficiency and quality of tower crane inspection. It canbe seen from the field test results that it takes about 0. 5h for the UAV to collect the image of the safetyhazards of the tower crane. UAV intelligent inspection can preliminarily identify most types of hiddendangers of tower cranes. There are a small number of two types of hidden dangers that cannot be judgedby UAV inspection.