基于氢动力无人机的实际巡航时间测算数据

现代化天然气输集管线巡检对管理信息化、规范化的要求越来越高，实现对集输气管路数字化、可视化、实时化管理，切实提高紧故障处理的能力越来越紧迫。尤其是提高巡查效率，最大程度的节约人力物力资源，助以高效的工具就尤为重要。无人机巡检方案构筑了天然气输集系统综合巡检体系。地面监测系统空间数据、基础地理信息和氢燃料电池单位耗氢量实时监测，保障天然气管道巡检任务顺利安全完成。陕西某油气公司管理的天然气管道实地拍摄采集和实时检测数据结果。 简要说明：通过可见光、热成像精准高效找出输气线路及设备故障，同时空中取证私挖违建破坏管路现象；通过甲烷遥测仪快速检出气体泄露现象，并自动预警和记录坐标回传到地面,同时，对氢无人机的实际巡航时间做出计算，防止坠机意外情况。算法规则：对坐标的定位计算规则：在已设定固定航线情况下：T（无人机飞行时间）=PVm/RTAB，（t：无人机实际续航时间min；P：无人机当前氢气瓶内氢气压（MPa）；V：无人机氢气瓶容量（L）；m：氢气摩尔质量常数（2.02g/mol）；R：气体常数（8.314J/(mol·K) ）；T：环境温度（k）；A：无人机平均输出功率（kW）；B：无人机氢燃料电池单位耗氢量（g/(kW.min)） ；Modern natural gas gathering and transportation pipeline inspections have increasingly higher requirements for informative and standardized management. It has become increasingly urgent to realize digital, visualized and real-time management of gathering and transportation pipelines, and effectively improve the ability to handle emergency faults. Especially, improving inspection efficiency, maximizing the saving of manpower and material resources, and relying on efficient tools are particularly important. The UAV inspection scheme establishes a comprehensive inspection system for natural gas gathering and transportation systems. Real-time monitoring of spatial data of ground monitoring systems, basic geographic information, and hydrogen consumption per unit of hydrogen fuel cells ensures the smooth and safe completion of natural gas pipeline inspection missions. This dataset comprises field shooting, collection and real-time detection data results from natural gas pipelines managed by an oil and gas company in Shaanxi Province. Brief Introduction: Accurately and efficiently identify faults in gas transmission lines and equipment through visible light and thermal imaging, while conducting aerial forensics for unauthorized excavation and illegal construction that damages pipelines; quickly detect gas leaks via methane telemeters, automatically issue early warnings, record coordinates and transmit them back to the ground, and meanwhile calculate the actual cruising time of hydrogen-powered UAVs to prevent crash accidents. Algorithm Rules: Coordinate positioning and calculation rules: Under the condition of a pre-set fixed flight route: T (UAV flight time) = PVm / (RTAB), where: t: Actual endurance time of the UAV (min); P: Current hydrogen pressure in the UAV's hydrogen cylinder (MPa); V: Capacity of the UAV's hydrogen cylinder (L); m: Molar mass constant of hydrogen (2.02 g/mol); R: Gas constant (8.314 J/(mol·K)); T: Ambient temperature (K); A: Average output power of the UAV (kW); B: Hydrogen consumption per unit of the UAV's hydrogen fuel cell (g/(kW·min))

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该数据集包含氢动力无人机巡航时间测算的539条记录，每日更新，用于天然气输集管线巡检，通过多项参数计算无人机实际续航时间。