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Energy-Saving for a Velocity Control System of a Pipe Isolation Tool Based on a Reinforcement Learning Method
International Journal of Precision Engineering and Manufacturing-Green Technology ( IF 5.3 ) Pub Date : 2021-03-05 , DOI: 10.1007/s40684-021-00309-8
Tingting Wu , Hong Zhao , Boxuan Gao , Fanbo Meng

The pipe isolation tool (PIT) demonstrates remarkable advantages in safety and efficiency compared with traditional plugging devices. However, its utilization in plugging operations is limited by the operation duration. In addition, the existing energy recovery system has low energy saving efficiency. In this paper, a real-time control energy-saving system of the PIT was designed based on a reinforcement learning algorithm. First, an experimental device for energy-saving was designed. Secondly, the energy distribution scheme of a hydraulic pump and accumulator based on experimental data was proposed. Finally, the reinforcement learning algorithm was used to adjust the opening of the hydraulic pump and the accumulator valves in real time during the plugging process to improving energy saving efficiency. The results verify that the energy saving efficiency of the PIT control system based on reinforcement learning could reach 23.71%, which satisfies the objectives of energy-saving and environmental applicability.



中文翻译:

基于强化学习方法的管道隔离工具速度控制系统节能

与传统的堵漏设备相比,管道隔离工具(PIT)在安全性和效率上显示出显着的优势。但是,其在插入操作中的使用受到操作持续时间的限制。另外,现有的能量回收系统具有较低的节能效率。本文基于强化学习算法设计了PIT实时控制节能系统。首先,设计了一种节能实验装置。其次,基于实验数据,提出了一种液压泵和蓄能器的能量分配方案。最后,通过强化学习算法在堵塞过程中实时调节液压泵和蓄能器阀的开度,以提高节能效率。

更新日期:2021-03-05
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