基于分布式光纤的电力电缆检测数据质量优化技术

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

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。

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.