Comprehensive Control System for Gathering Pipe Network Operation Based on Reinforcement Learning（基于强化学习的集水管网运行综合控制系统）
发布时间：2024-01-08
元数据
名 称
Comprehensive Control System for Gathering Pipe Network Operation Based on Reinforcement Learning（基于强化学习的集水管网运行综合控制系统）
科技资源标识
CSTR:11738.14.NCDC.XDA14.PP5656.2024
DOI
10.1145/3301326.3301375
数据共享方式
开放下载
摘 要
In the transmission process of crude oil gathering system, waterassisted heat transfer is often used to avoid wax formation, and pipeline temperature and pressure control are often controlled manually. In order to improve control efficiency and save labor cost. In this paper, we propose a DQN-based algorithm. The intensive learning model completes the temperature and pressure control in the pipeline. At the same time, because these two parameters have strong coupling, which affects the global control, this paper focuses on the joint optimization of valve opening and heating furnace and pressure pump. Finally, in order to verify the effectiveness of the system, the simulation control experiment is adopted. The test results show that the system control effect is excellent and the robustness is good
吴谦霖,朱丹丹,刘溢,杜爱民,陈冬,叶智慧. Comprehensive Control System for Gathering Pipe Network Operation Based on Reinforcement Learning（基于强化学习的集水管网运行综合控制系统）. 国家冰川冻土沙漠科学数据中心(http://www.ncdc.ac.cn), 2024. https://cstr.cn/CSTR:11738.14.NCDC.XDA14.PP5656.2024.
吴谦霖,朱丹丹,刘溢,杜爱民,陈冬,叶智慧. Comprehensive Control System for Gathering Pipe Network Operation Based on Reinforcement Learning（基于强化学习的集水管网运行综合控制系统）. 国家冰川冻土沙漠科学数据中心(http://www.ncdc.ac.cn), 2024. https://www.doi.org/10.1145/3301326.3301375.
本作品采用
知识共享署名
4.0 国际许可协议进行许可。
CSTR:11738.14.NCDC.XDA14.PP5656.2024
10.1145/3301326.3301375