管网智能传感系统数字化应用平台测试数据

管网智能传感系统数字化应用平台，主要面向跨地域复杂油气管网安全高效运行状态监测研究，以及国家能源供应安全保障需求建设。其背景为我国 95% 以上陆上石油和天然气依靠管道输送，现有管道感知技术存在管体微小缺陷感知不足、威胁预警能力弱等痛点，难以满足 “智慧管网” 发展需求。平台依托国家重点研发计划项目，基于中缅管道瑞丽罐区、中俄管道黑河作业区等 10 类典型场景，通过受限空间烃类监测、分布式单光纤多参数检测等 7 类自研传感器，以及 SCADA 系统、视频监控、地灾监测系统等现有设备采集数据，主要记录油气泄漏浓度、管道应力应变、腐蚀速率、振动频率等观测值。数据通过标准化接口接入与多源融合算法处理，整合结构化与非结构化数据，总量约 1GB，可支撑油气泄漏、管线周边环境、管道本体缺陷三大风险评估场景的实时监测、动态预警与智能决策，对提升管网监测水平、实现管道感知技术自主可控具有重要意义。

Digital Application Platform for Intelligent Sensing Systems of Oil and Gas Pipeline Networks is primarily built for research on safe and efficient operational status monitoring of cross-regional complex oil and gas pipeline networks, and to meet national energy supply security guarantee demands. Against the backdrop that over 95% of China's onshore oil and natural gas are transported via pipelines, current pipeline sensing technologies face pain points including insufficient detection of tiny pipeline body defects and weak threat early warning capabilities, failing to meet the development requirements of "Smart Pipeline Networks". The platform is supported by a project under the National Key Research and Development Program of China, and is based on 10 typical scenarios such as the Ruili Tank Farm of the China-Myanmar Oil and Gas Pipeline and the Heihe Operation Area of the China-Russia Oil and Gas Pipeline. It collects data through 7 types of self-developed sensors including confined space hydrocarbon monitoring sensors and distributed single-fiber multi-parameter detection sensors, as well as existing equipment such as SCADA systems, video surveillance systems and geological hazard monitoring systems. It mainly records observation indicators such as oil and gas leakage concentration, pipeline stress and strain, corrosion rate and vibration frequency. The collected data is accessed via standardized interfaces and processed through multi-source fusion algorithms, integrating both structured and unstructured data, with a total volume of approximately 1 GB. This platform can support real-time monitoring, dynamic early warning and intelligent decision-making for three major risk assessment scenarios: oil and gas leakage, pipeline surrounding environment and pipeline body defects, and is of great significance for improving the level of pipeline network monitoring and achieving independent and controllable pipeline sensing technologies.

搜集汇总

背景与挑战

背景概述

该数据集是管网智能传感系统数字化应用平台的测试数据，面向跨地域复杂油气管网安全高效运行状态监测研究。数据基于国家重点研发计划项目，通过自研传感器和现有设备采集，涵盖油气泄漏浓度、管道应力应变等多参数观测值，总量约1GB，用于支撑油气泄漏、环境及缺陷风险评估的实时监测与智能决策。