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Low-flight-time unmanned aerial vehicle assisted slope excavation construction method
The invention discloses an unmanned aerial vehicle assisted slope excavation construction method with low flight time, which comprises the following steps of: selecting an unmanned aerial vehicle signal area on a slope surface to be excavated, selecting a measuring point to detect to obtain an average distance L1 between the unmanned aerial vehicle and the slope surface, and estimating the excavation height of a slope subarea by estimating the volume of earth-rock excavation. When the excavation height reaches the excavation height threshold interval, the unmanned aerial vehicle is controlled to fly up for rechecking, the measuring points in the signal area of the unmanned aerial vehicle are detected to obtain the average distance L2 between the measuring points and the unmanned aerial vehicle in the excavation process, and the excavation progress of the slope surface is prompted by comparing the difference value of L2 and L1. The method has the advantages that an informatization means is adopted to guide slope excavation, the single guide range is accurate to the meter level, and the slope excavation depth can be accurately controlled; the excavated earth and stone amount is estimated according to the carried-out number of the earthwork vehicles so that the excavation height can be obtained in real time to reduce the flight time of the unmanned aerial vehicle, and when the excavation height reaches the excavation height threshold value interval, the unmanned aerial vehicle is controlled to fly up for re-checking indication.
本发明公开了一种低飞行时间的无人机协助边坡开挖施工方法,该施工方法通过在待开挖坡面选取无人机信号区并选择测点检测获得同无人机之间的平均距离L1,通过估算土石方开挖的体积来估算边坡分区的开挖高度,当开挖高度到达开挖高度阈值区间后操控无人机飞升进行复核,对无人机信号区的测点进行检测以获得开挖过程中测点同无人机之间的平均距离L2,通过将L2‑L1的差值进行比较,以提示坡面的开挖进度。本发明的优点是:采用信息化手段指导边坡开挖,单次指导范围精确到米级,可以精确控制边坡开挖深度;通过土方车的运出数量来预估开挖土石量,以实时获得开挖高度来降低无人机飞行时间,当开挖高度到达开挖高度阈值区间时控制无人机飞升进行复核指示。
Low-flight-time unmanned aerial vehicle assisted slope excavation construction method
The invention discloses an unmanned aerial vehicle assisted slope excavation construction method with low flight time, which comprises the following steps of: selecting an unmanned aerial vehicle signal area on a slope surface to be excavated, selecting a measuring point to detect to obtain an average distance L1 between the unmanned aerial vehicle and the slope surface, and estimating the excavation height of a slope subarea by estimating the volume of earth-rock excavation. When the excavation height reaches the excavation height threshold interval, the unmanned aerial vehicle is controlled to fly up for rechecking, the measuring points in the signal area of the unmanned aerial vehicle are detected to obtain the average distance L2 between the measuring points and the unmanned aerial vehicle in the excavation process, and the excavation progress of the slope surface is prompted by comparing the difference value of L2 and L1. The method has the advantages that an informatization means is adopted to guide slope excavation, the single guide range is accurate to the meter level, and the slope excavation depth can be accurately controlled; the excavated earth and stone amount is estimated according to the carried-out number of the earthwork vehicles so that the excavation height can be obtained in real time to reduce the flight time of the unmanned aerial vehicle, and when the excavation height reaches the excavation height threshold value interval, the unmanned aerial vehicle is controlled to fly up for re-checking indication.
本发明公开了一种低飞行时间的无人机协助边坡开挖施工方法,该施工方法通过在待开挖坡面选取无人机信号区并选择测点检测获得同无人机之间的平均距离L1,通过估算土石方开挖的体积来估算边坡分区的开挖高度,当开挖高度到达开挖高度阈值区间后操控无人机飞升进行复核,对无人机信号区的测点进行检测以获得开挖过程中测点同无人机之间的平均距离L2,通过将L2‑L1的差值进行比较,以提示坡面的开挖进度。本发明的优点是:采用信息化手段指导边坡开挖,单次指导范围精确到米级,可以精确控制边坡开挖深度;通过土方车的运出数量来预估开挖土石量,以实时获得开挖高度来降低无人机飞行时间,当开挖高度到达开挖高度阈值区间时控制无人机飞升进行复核指示。
Low-flight-time unmanned aerial vehicle assisted slope excavation construction method
一种低飞行时间的无人机协助边坡开挖施工方法
JIAO LEI (Autor:in) / WANG YAN (Autor:in) / LI PENG (Autor:in) / ZHONG FUZENG (Autor:in) / LIU ZHONGXIN (Autor:in) / SUN DANDAN (Autor:in) / ZHANG LEI (Autor:in) / TIAN YUDONG (Autor:in) / LI YAO (Autor:in) / LUO SHIWEI (Autor:in)
15.10.2024
Patent
Elektronische Ressource
Chinesisch
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