浙江省长输天然气管道分布式光纤声波传感原始样本数据

分布式光纤声波预警系统（以下简称DAS）为浙江省网公司自主研发的系统，主要用于天然气管道周边第三方破坏实时监测。其工作原理基于相干光的散射效应（如瑞利散射），光纤在外界干扰下的微小振动会导致散射光信号的变化，通过分析这些变化，能够获取沿光纤位置的振动或声波信息。该数据来源为自主研发的DAS系统在自有的天然气长输管道应用过程中产生的样本数据，该样本数据指的是DAS系统第三方施工的相位原始数据。应用场景为：1.为分布式光纤传感算法研发团队提供样本数据，用于提升信号分析及人工智能算法研发效率；2.该数据可以用于统计管道周边的施工数量，进而进行管道风险评估等。

The Distributed Optical Fiber Acoustic Early Warning System (hereinafter referred to as DAS) is independently developed by Zhejiang Provincial Grid Company, and is primarily used for real-time monitoring of third-party damage around natural gas pipelines. Its working principle is based on the scattering effect of coherent light (e.g., Rayleigh scattering). Minor vibrations of the optical fiber under external interference will induce changes in the scattered light signals; by analyzing these variations, vibration or acoustic information at positions along the optical fiber can be obtained.

This dataset is the sample data generated during the application of the independently developed DAS system on the company's own long-distance natural gas transmission pipelines. Specifically, the sample data refers to the original phase data of third-party construction collected by the DAS system.

The application scenarios are as follows:
1. Provide sample data for the R&D team of distributed optical fiber sensing algorithms, to improve the efficiency of signal analysis and artificial intelligence algorithm development;
2. The data can be used to count the number of constructions around the pipelines, and then conduct pipeline risk assessment and other related works.