土石堤坝渗流分布式光纤感测数据集

为探究基于光纤测温数据实现堤防渗漏辨识的实际可行性、探索相应的辨识规则、感测效能、数据处理方法以及示范应用情况，通过模型试验和实际应用获取了感测数据。本数据集包括土石堤坝渗流分布式光纤感测模型试验数据集；土石堤坝渗流分布式光纤感测效能大比尺测试试验数据集；土石堤坝渗流分布式光纤感测信息处理与解译方法研发数据集；土石堤坝渗流分布式光纤感测示范应用数据集数据量为144MB。

To explore the practical feasibility of identifying levee leakage using fiber optic temperature measurement data, investigate the corresponding identification rules, sensing performance, data processing methods, and demonstration application scenarios, sensing data were collected through model tests and field applications. This dataset consists of four sub-datasets: distributed fiber optic sensing model test dataset for earth-rock dam seepage; large-scale scaled test dataset for distributed fiber optic sensing performance of earth-rock dam seepage; R&D dataset for information processing and interpretation methods of distributed fiber optic sensing for earth-rock dam seepage; and demonstration application dataset for distributed fiber optic sensing of earth-rock dam seepage, with a total size of 144 MB.

搜集汇总

背景与挑战

背景概述

该数据集聚焦于土石堤坝渗流监测，通过分布式光纤感测技术收集模型试验、效能测试、信息处理与解译方法研发及示范应用数据，旨在探究渗漏辨识的可行性和规则。数据量约142.51MB，包含153个文件，由河海大学在2019YFC1510800国家重点研发计划项目支持下发布，适用于水利工程领域的渗流监测研究。