Dataset of Leak Simulations in Experimental Testbed Water Distribution System
收藏资源简介：
This is the first fully labeled open dataset for leak detection and localization in water distribution systems. This dataset includes two hundred and eighty signals acquired from a laboratory-scale water distribution testbed with four types of induced leaks and no-leak. The testbed was 47 m long built from 152.4 mm diameter PVC pipes. Two accelerometers (A1 and A2), two hydrophones (H1 and H2), and two dynamic pressure sensors (P1 and P2) were deployed to measure acceleration, acoustic, and dynamic pressure data. The data were recorded through controlled experiments where the following were changed: network architecture, leak type, background flow condition, background noise condition, and sensor types and locations. Each signal was recorded for 30 seconds. Network architectures were looped (LO) and branched (BR). Leak types were Longitudinal Crack (LC), Circumferential Crack (CC), Gasket Leak (GL), Orifice Leak (OL), and No-leak (NL). Background flow conditions included 0 L/s (ND), 0.18 L/s, 0.47 L/s, and Transient (background flow rate abruptly changed from 0.47 L/s to 0 L/s at the second 20th of 30-second long measurements). Background noise conditions, with noise (N) and without noise (NN), determined whether a background noise was present during acoustic data measurements. Accelerometer and dynamic pressure data are in ‘.csv’ format, and the hydrophone data are in ‘.raw’ format with 8000 Hz frequency. The file “Python code to convert raw acoustic data to pandas DataFrame.py” converts the raw hydrophone data to DataFrame in Python.
本数据集为首个面向供水配水管网泄漏检测与定位的全标注开源数据集。本数据集包含从实验室规模供水配水测试平台采集的280组信号，涵盖四类人工诱发泄漏工况及无泄漏工况。该测试平台总长47米，采用直径152.4毫米的聚氯乙烯（PVC）管材搭建而成。平台部署了2台加速度传感器（accelerometer）A1、A2，2台水听器（hydrophone）H1、H2，以及2台动态压力传感器（dynamic pressure sensor）P1、P2，分别采集加速度、声学及动态压力数据。所有数据通过控制变量实验采集，实验中调整的变量包括：管网架构、泄漏类型、背景流量工况、背景噪声工况以及传感器类型与布设位置。每组信号的采集时长为30秒。管网架构分为环状（LO）与枝状（BR）两类。泄漏类型包括纵向裂纹（LC）、周向裂纹（CC）、垫片泄漏（GL）、孔口泄漏（OL）以及无泄漏（NL）。背景流量工况涵盖0 L/s（ND）、0.18 L/s、0.47 L/s以及瞬变工况（即在30秒的采集时长内，于第20秒时将背景流量从0.47 L/s突变为0 L/s）。背景噪声工况分为带噪声（N）与无噪声（NN）两类，用于控制声学数据采集过程中是否存在背景噪声。加速度传感器与动态压力传感器的数据格式为.csv格式，水听器数据格式为.raw格式，采样率为8000 Hz。附带的Python脚本文件"Python code to convert raw acoustic data to pandas DataFrame.py"可将原始水听器数据转换为Python环境下的pandas数据帧（DataFrame）。
