摘要
为了解决在多重因素作用下难以准确评估OPGW光缆风险的状况,文章提出了一种基于纤芯应变特征聚类的OPGW光缆风险辨识方法。首先,分析了OPGW纤芯应变特征,包括OPGW光缆运行参数监测和OPGW纤芯应变相关参数特征。然后,以OPGW应力应变和布里渊频移为特征参数,采用初始聚类中心优化K均值聚类实现OPGW光缆风险辨识。算例结果表明,所提方法能够对OPGW的风险特性进行有效识别,有效支撑OPGW光缆的运行与维护。
In order to solve the problem that it is difficult to accurately evaluate the risk of OPGW under the action of multiple factors,a risk identification method of OPGW based on core strain feature clustering is proposed.Firstly,the strain characteristics of OPGW fiber core are analyzed,including the monitoring of OPGW operation parameters and the characteristics of OPGW fiber core strain related parameters.Then,taking the stress-strain and Brillouin frequency shift of OPGW as the characteristic parameters,the initial clustering center is used to optimize the K-means clustering to realize the risk identification of OPGW.The results show that the proposed method can effectively identify the risk characteristics of OPGW and effectively support the operation and maintenance of OPGW.
作者
辛培哲
邹静
XIN Peizhe;ZOU Jing(State Grid Economic and Technological Research Institute Co.,Ltd.,Changping District,Beijing 102209,China)
出处
《电力信息与通信技术》
2024年第2期40-46,共7页
Electric Power Information and Communication Technology
基金
国家电网有限公司总部科技项目资助“OPGW光缆纤芯应变安全阈值及风险预警关键技术研究与应用”(5700-2-2252219A-1-1-ZN)。
