Trajectories and Payload Oscillations Data of Tower Crane Systems with varied Payload Masses, Shapes, and Cable Lengths for Machine Learning-Based Control, System Identification, and Industrial Automation

The dataset contains trajectories and payload oscillations of tower crane under four primary operations, namely, trolley motion (TM), jib rotation (JR), payload hoisting (PH), and the simultaneous TM, JR, and PH. As the changes in cable length significantly affect the natural frequency of the crane, numerous data were recorded for different cable lengths ranging from 0.1 to 0.8m. In addition, various shapes and sizes of the payload were considered to provide a comprehensive practical representation of the crane operations. The dataset contains 33 operating scenarios, and each experiment was conducted for 99 seconds and sampled at 0.01 seconds.

本数据集包含塔式起重机在四类主要作业工况下的运动轨迹与有效载荷振荡数据，四类工况分别为小车运行（Trolley Motion, TM）、臂架回转（Jib Rotation, JR）、起吊载荷（Payload Hoisting, PH）以及小车运行、臂架回转与起吊载荷同步联合作业。由于缆绳长度变化会显著影响起重机的固有频率，本数据集针对0.1m至0.8m范围内的多种缆绳长度采集了大量数据。此外，为全面还原起重机作业的实际场景，数据集还纳入了不同形状与尺寸的有效载荷。本数据集共包含33组作业场景，每组实验时长为99秒，采样间隔为0.01秒。

搜集汇总

背景与挑战

背景概述

该数据集提供了塔式起重机系统在多种操作模式（包括小车运动、吊臂旋转、负载提升及组合操作）下的轨迹和负载振荡数据，特别关注不同缆绳长度（0.1-0.8米）和负载形状尺寸的影响，以全面反映实际工况。数据包含33个操作场景，每个实验持续99秒并以0.01秒采样，适用于机器学习控制、系统辨识和工业自动化应用。