• CSCD核心库收录期刊
  • 中文核心期刊
  • 中国科技核心期刊

电力建设 ›› 2014, Vol. 35 ›› Issue (9): 53-58.doi: 10.3969/j.issn.1000-7229.2014.09.010

• 输配电技术 • 上一篇    下一篇

基于分布式光纤的电力电缆检测数据质量优化技术

孙世国1,黄志敏2,叶尚兴2,江友华2   

  1. 1.冀中能源峰峰集团有限公司新三矿,河北省邯郸市 056200;2.上海电力学院电子与信息工程学院,上海市 200090
  • 出版日期:2014-09-01
  • 作者简介:孙世国(1970),男,高级工程师,主要从事机电检测及电子信息方面的研究; 黄志敏(1989),男,硕士研究生,主要从事电力系统检测及控制方面的研究; 叶尚兴(1990),男,硕士研究生,主要从事电力系统检测及控制方面的研究; 江友华(1974),男,博士,教授,主要从事电力系统检测及控制方面的研究,E-mail:jyhua0306@163.com。
  • 基金资助:
    上海市自然科学基金项目(Z2012-068)。

Optimization Technology of Detection Data Quality for Power Cable Based on Distributed Optical Fiber

SUN Shiguo1, HUANG Zhiming2, YE Shangxing2, JIANG Youhua2   

  1. 1. New No.3 Mine, Jizhong Fengfeng Energy Group Co., Ltd., Handan 056200, Hebei Province,China;2. School of Electronic and Information Engineering, Shanghai University of Electric Power, Shanghai 200090, China
  • Online:2014-09-01

摘要: 分布式光纤能够有效实现电力电缆的在线监测,但由于分布式光纤节点部署不均衡、采集频率频繁、感知数据强关联等特点,造成所测电力电缆数据的真实性受损,从而形成漏报、误报,这就对光纤传感监测技术的数据质量和数据管理技术提出了更高的要求。基于此,给出了分布式光纤检测电力电缆健康状态的软硬件平台,并针对电力电缆检测漏报、误报现象,通过提高数据采集质量,采用不确定感知数据的自动检测及修复算法,从而在数据出现异常情况时能够进行有效修正,提高了电力电缆感知数据的质量,降低了光纤检测系统的缺陷发生率,提高了工作效率。最后,通过实验进行了算法验证。

关键词: 电力电缆, 分布式光纤, 检测数据质量, 优化

Abstract: Distributed optical fiber can effectively realize the on-line monitoring of power cable. Because of the characteristics of distributed optical fiber, such as imbalance sensor deployment, frequency collection, strong correlation in perception data and so on, the measured data’s authenticity of power cable was damaged, so as to form omissions and false positives, which put forward higher requirements for the data quality and data management technology of optical fiber sensing technology. Based on this, this paper proposed the hardware and software platform for the health status detection on power cable by distributed optical fiber. According to the omissions and false positives of power cable detection, through the improvement of data acquisition quality, the uncertain automatic detection and repair algorithm for perception data were used to effectively correct the abnormal data, which could improve the quality of power cable sensing data, reduce the incidence of defects in optical fiber detection system, and improve the work efficiency. Finally, the experiments were carried out to verify the algorithm.

Key words: power cable, distributed optical fiber, detection data quality, optimization