环境噪声与室内外管道泄漏信号

为了研究在地面拾取的管道泄漏声信号特征，从而判断漏点位置，在地面拾取了不同情况下的环境噪声与不同工况下的泄漏声信号。基于此数据，后续进行了信号的特征分析，并建立漏损识别模型，开发了多探头漏损定位仪，构建各类噪声信号频域数据库，建立数学模型，利用BP神经网络算法，辨析漏失噪声信号，进行漏点定位。

To investigate the characteristics of ground-picked pipeline leakage acoustic signals for determining leakage point locations, environmental noise under various scenarios and leakage acoustic signals under different operating conditions were collected. Based on this dataset, subsequent research carried out signal feature analysis, established leakage identification models, developed a multi-probe leakage locator, constructed frequency-domain databases for various noise signals, built mathematical models, and employed the BP neural network algorithm to distinguish leakage acoustic signals and realize leakage point localization.

搜集汇总

背景与挑战

背景概述

该数据集专注于供水管道泄漏检测，通过采集室内外环境噪声和管道泄漏声信号，用于分析信号特征并建立漏损识别与定位模型。数据来源于哈尔滨工业大学承担的国家重点研发计划项目，旨在支持市政工程领域的漏损监测技术研发，数据量较小，便于研究使用。