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作 者:王鹏凯 陶丽楠 时振堂 李君 WANG Peng-kai;TAO Li-nan;SHI Zhen-tang;LI Jun(Sinopec Dalian Research Institute of Petroleum and Petrochemicals,Dalian Liaoning 116045,China)
机构地区:[1]中国石油化工股份有限公司大连石油化工研究院,辽宁大连116045
出 处:《当代化工》2022年第1期191-195,共5页Contemporary Chemical Industry
摘 要:准确的拓扑信息是开展运行优化、故障处理、管线节能等应用的重要基础。为提升综合能源系统整体拓扑结构识别的可靠性和自动化水平,应用邻接矩阵针对机泵系统建立拓扑结构智能识别模型,在数据采集过程中,可适应拓扑结构的变化,并将其应用于某企业循环水泵系统,验证了综合能源系统流体网络侧拓扑智能识别的可行性和推广价值,为系统拓扑的维护和进一步优化工作提供技术支撑。Accurate topology information is an important foundation for applications such as operation optimization,fault handling, and pipeline energy saving. In order to improve the reliability and automation level of the overall topological structure recognition of the integrated energy system, a set of intelligent topological structure recognition model for the pump system in a method of the adjacency matrix was established, which can automatically adapt to the changes of the topological structure during the data collection process. By applying the theory to a circulating water pump system, the feasibility and promotion value of the intelligent identification of the topology of the fluid network side of the integrated energy system was verified, thus providing basic technical support for the maintenance and further optimization of the system topology.
分 类 号:TE45[石油与天然气工程—油气田开发工程]
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