基于数据感知融合的电力通信网络智能运维系统设计  

Application of UAV Tilt-photography in Monitoring and Assessment of Hydropower Plant Structures

作　　者：李静茹 LI Jingru(State Grid Hubei Electric Power Co.,Ltd.,Information and Communication Company,Wuhan 430074,China)

机构地区：[1]国网湖北省电力有限公司信息通信公司,武汉430074

出　　处：《移动信息》2024年第12期119-121,共3页Mobile Information

摘　　要：电力通信网络在电力系统中具有重要的作用,但由于其复杂性和特殊性,其运维管理存在一定的挑战。为提高电力通信网络的运维效率和可靠性,文中将数据感知技术应用于智能运维系统。首先,对电力通信网络的特点和运维需求进行了分析,设计了一种基于数据感知融合的智能运维系统。其次,设计了电力通信网络智能运维系统的硬件。然后,提出了基于多目标白鲨优化算法的智能运维算法。最后,通过实际案例验证了该系统的有效性和可行性。结果表明,该方法在提高电力通信网络的运维效率和可靠性方面具有显著的优势。The power communication network plays an important role in the power system,but due to its complexity and particularity,its operation and maintenance management has certain challenges.In order to improve the operation and maintenance efficiency and reliability of the power communication network,the data sensing technology is applied to the intelligent operation and maintenance system.First,the characteristics and operation and maintenance requirements of the power communication network are analyzed,and an intelligent operation and maintenance system design based on data sensing fusion is proposed.Secondly,the hardware of the intelligent operation and maintenance system of the power communication network is designed.Then,the intelligent operation and maintenance algorithm based on the multi-objective White Shark optimization algorithm is proposed.Finally,the effectiveness and feasibility of the system are verified by practical cases.The results show that the method has significant advantages in improving the operation and maintenance efficiency and reliability of power communication networks.

关 键 词：数据感知融合 电力通信网络 智能运维 系统设计 多目标白鲨优化算法 

分 类 号：TP311.5[自动化与计算机技术—计算机软件与理论]