"Multiple Gas Sale Pipeline Parameter" 核心 · 已核验

doi:10.21227/fmfa-2a57

"The \u201cMultiple Gas Sale Pipeline Parameter from Real-Time Parameter Log\u201d dataset presents a comprehensive collection of real-time operational data acquired from industrial gas sales and transmission pipeline systems. The dataset was generated from continuously logged field instrumentation and process monitoring systems integrated with industrial Supervisory Control and Data Acquisition (SCADA) infrastructure. It contains multivariate time-series parameters that describe the dynamic operating conditions of gas pipeline networks under normal and abnormal operational states. The dataset includes critical process variables such as gas flow rate, line pressure, temperature, valve position, differential pressure, gas volume, compressor operational status, and other instrumentation measurements obtained from real-time industrial logging systems. These parameters provide valuable insights into pipeline performance, operational efficiency, equipment health, and process stability in industrial gas distribution environments. This dataset is specifically designed to support research and development in Artificial Intelligence (AI), Machine Learning (ML), Deep Learning (DL), Industrial Internet of Things (IIoT), cybersecurity, predictive maintenance, and intelligent industrial automation. The dataset is suitable for developing and evaluating advanced anomaly detection, fault diagnosis, leakage detection, cyber-attack detection, forecasting, and predictive analytics models in industrial cyber-physical systems. The real-time nature of the dataset makes it highly valuable for benchmarking industrial time-series analytics and evaluating intelligent monitoring algorithms under realistic operating conditions. This dataset contributes toward the advancement of secure, reliable, and intelligent gas pipeline monitoring systems for modern industrial energy infrastructures."

落地页

https://ieee-dataport.org/documents/multiple-gas-sale-pipeline-parameter

许可证

CC-BY-4.0 (判读置信:inferred)

国内可访问性

国内直连:可达 (2026-07-11 检测) 代理通道:可达 (2026-07-11 检测)
检测口径:lychee 双通道单轮探测;「直连超时」表示检测窗口内未完成,系慢或不稳定证据,不构成封锁证据。

设备类型

industrial_process compressor

PHM 任务

anomaly_detection fault_diagnosis fault_detection