Acoustic Signal Data for Pipeline Threat Estimation

该数据集包含了从天然气管道网络中不同径向距离模拟机械挖掘事件的实地实验中收集到的声学信号数据。每个样本包含20,000个数据点，代表10秒内的感知信号，并附有指示威胁距离的标签。在三个威胁区域中，每个区域都有300个有效样本，并通过增强处理，每个类别扩展至1,000个样本。该数据集的任务是对能源管道中的威胁进行估计和识别。

This dataset comprises acoustic signal data collected from field experiments simulating mechanical excavation events conducted at varying radial distances across natural gas pipeline networks. Each sample consists of 20,000 data points corresponding to a 10-second sensed signal segment, and is paired with labels indicating the threat distance. For the three threat zones, there were 300 valid samples per zone initially; data augmentation was applied to expand each category to 1,000 samples. The task of this dataset is to estimate and identify threats within energy pipelines.