基于30米高空无人机拍摄的桩基识别和进度指数数据

用于海上光伏施工方现场进度管理，快速参看统计项目已成功安装的桩基数量，并计算出桩基进度指数本数据和算法仅针对海上光伏施工现场图像画面显示，不含个人数据、公共数据，无数据标识体现。本算法是在无人机拍摄的图片中，对人员识别和判断。使用人员识别算法找出可能的人员并计数。同时结合无人机拍摄时的坐标和高度计算出拍摄面积，间接计算该区域的桩基进度指数。算法规则：桩基进度指数=桩基数量/（高度*成像裁剪系数）This dataset and supporting algorithm are developed for on-site progress management of offshore photovoltaic construction parties, to quickly view and count the number of successfully installed pile foundations for the project, and calculate the pile foundation progress index. This dataset and algorithm only apply to image frames captured at offshore photovoltaic construction sites, containing no personal data or public data, and no data identifiers are present. This algorithm conducts personnel recognition and judgment on images taken by unmanned aerial vehicles (UAVs): it utilizes personnel recognition algorithms to detect potential personnel and perform counting. Meanwhile, it calculates the shooting area by combining the coordinate information and altitude during UAV image capture, and then indirectly computes the pile foundation progress index of the corresponding area. Algorithm rule: Pile Foundation Progress Index = Number of Pile Foundations / (Altitude × Imaging Cropping Coefficient)

搜集汇总

数据集介绍

特点

该数据集包含1873条基于30米高空无人机拍摄的桩基识别和进度指数数据，主要用于海上光伏施工方的现场进度管理。通过特定的算法规则，能够快速统计桩基数量并计算进度指数，有效支持施工管理决策。