摘要
针对传统公路工程施工安全监管存在的盲区覆盖不足、响应滞后等问题,文章系统性地构建了无人机技术的多维度应用评估体系。通过建立包含空间感知、数据处理、决策支持三大模块的技术框架,实证分析显示,无人机巡检效率较传统方式提升了3.8倍,边坡位移监测精度达到±2mm级,高危作业面监管覆盖率大大提升。创新性地提出“空天地”协同监管模式,可为智能建造技术在工程安全领域的深化应用提供理论支撑。
In response to the blind spots and insufficient coverage in traditional highway construction safety supervision,as well as issues such as delayed responses,a multi-dimensional application evaluation system for drone technology has been systematically constructed.By establishing a technical framework that includes spatial perception,data processing,and decision support modules,empirical analysis shows that the ef ficiency of drone inspections is 3.8 times higher than traditional methods,slope displacement monitoring accuracy reaches±2mm level,and the coverage of high-risk work area supervision has significantly increased.The study innovatively proposes an“air-ground-space”collaborative supervision model,providing theoretical support for the deepened application of intelligent construction technology in the field of engineering safety.
作者
高玉彪
GAO Yubiao(Linyi County Transportation Bureau,Dezhou 251500,China)
关键词
无人机技术
安全监管
公路工程
智能建造
风险识别
UAV technology
safety supervision
highway engineering
intelligent construction
risk identification
