基于孤独森林统计算法的嵌入式光缆防外损预警系统设计

X. Yang, Shilun Zeng, Xiaofang Wang, Lipeng Zhu, Jianbing Li, Liang Chen
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引用次数: 0

摘要

地埋电缆敷设方式因解决了城市建设的环境保护问题而逐渐受到青睐。新城在管道许可的情况下基本选择埋地式运行,但增加了配电网运维人员的维护难度。为了满足这一应用需求,本文设计了一种分布式传感光纤的外应力敏感检测函数,结合傅里叶变换和孤独森林算法的计算优势,将光纤的时域信息转换为频域信息,并在频域提取敏感相位幅值和位置重要参数。并与电力光纤外部故障事件存储故障阈值进行对比,系统可以及时发现故障事件并发出预警信息,避免进一步损坏线缆。与其他数据算法相比,本文设计的系统检测与故障评估方法具有精度高、应用需求匹配性强、解决问题的实用性等特点。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Design of embedded optical cable anti extemal damage early waming system based on lonely forest statistical algorithm
The buried cable laying method is gradually favored because it solves the environmental protection problems of urban construction. The new city basically chooses the buried type operation under the condition of pipeline permission, but it increases the maintenance difficulty for the distribution network operation and maintenance personnel. In order to meet the demand of this application, this paper designs a kind of external stress sensitive detection function of distributed sensing optical fiber, combined with the computing advantages of Fourier transform and lonely forest algorithm, transforms the time-domain information of optical fiber into frequency-domain information, and extracts the sensitive phase amplitude and position important parameters in the frequency domain, and compares them with the storage fault threshold value of power optical fiber external failure event In addition, the system can detect the failure event in time and send out warning information to avoid further cable damage. Compared with other data algorithms, the system detection and fault evaluation method designed in this paper has high accuracy, strong matching of application requirements and practicability to solve problems.
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