管路泄漏检测数据集

管道泄漏会影响管廊的安全，使用气体、声音等传感器进行检测。该数据集来自重庆管廊示范点。使用管廊挂轨巡检机器人、管廊全向巡检机器人均搭载融合气体传感器、二元线列阵声呐（以下称为“声音传感器”），通过融合气体传感器监测空气中氧气、一氧化碳、硫化氢、甲烷含量是否超过设定阀值，当气体达到预警值声音传感器开始采集周围音源，通过算法计算得到气体泄漏点位置。数据集包括各个通道检测到原始数据，为自定义格式，数据量约500MB。Pipeline leaks pose threats to the safety of utility tunnels, and are detected using sensors such as gas and acoustic sensors. This dataset is collected from a Chongqing utility tunnel demonstration site. Both track-mounted utility tunnel inspection robots and omni-directional utility tunnel inspection robots are equipped with integrated gas sensors and binary linear array sonar (hereinafter referred to as "acoustic sensors"). The integrated gas sensors monitor whether the concentrations of oxygen, carbon monoxide, hydrogen sulfide and methane in the air exceed the predetermined thresholds. When the gas concentration reaches the early warning threshold, the acoustic sensors start collecting surrounding sound sources, and the location of the gas leak is calculated via algorithms. The dataset contains raw detection data from each tunnel passage, which is in a custom format, with a total size of approximately 500 MB.

搜集汇总

背景与挑战

背景概述

该数据集是一个用于管路泄漏检测的数据集，源自重庆管廊示范点，通过搭载融合气体传感器和声音传感器的巡检机器人采集，监测氧气、一氧化碳、硫化氢、甲烷等气体含量并分析音源以定位泄漏点。数据集包含原始数据，格式自定义，总数据量约500MB，由南京航空航天大学于2022年发布，属于国家重点研发计划项目的一部分，旨在支持城市地下基础设施安全监测研究。