Distributed Transmission Line Ice-Coating Recognition System Based on BOTDR Temperature Monitoring

Sun, Jinxiang; Zhang, Zhiguo; Li, Yuemei; Yan, Zhehao; Zhai, Tianrui; Li, Luming; Xiao, Zuoxiang

doi:10.1109/jlt.2021.3063267

Cited by 23 publications

(9 citation statements)

References 16 publications

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“…Due to the characteristics of the transmission line itself, it is necessary to comprehensively use various data for analysis to supervise the operation status of the line [8]. The data is mainly composed of the following categories, as shown in Table (1).…”

Section: System Componentsmentioning

confidence: 99%

Information monitoring system of transmission line operation based on data analysis

Guo¹,

Li²,

Wang³

et al. 2023

Second International Conference on Green Communication, Network, and Internet of Things (CNIoT 2022)

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As an important part of the power transmission in the power system, the safety and stability of the transmission line directly affect the availability of the power system. With the continuous development of various industries, people's demand for energy is increasing, and the requirements for power supply reliability are also getting higher and higher. Transmission lines are an important part of the power system. Once a major power outage occurs, it will cause huge losses and inconvenience to the national economy. Therefore, the equipment and operation of transmission lines need a practical and effective management system to manage. Clearly, big data analytics has great advantages in this regard.

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Section: System Componentsmentioning

confidence: 99%

Information monitoring system of transmission line operation based on data analysis

Guo¹,

Li²,

Wang³

et al. 2023

Second International Conference on Green Communication, Network, and Internet of Things (CNIoT 2022)

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“…Then the sample need to be decentralized. By calculating the covariance matrix, the eigenvectors, u (1) , u (2) , ... , u (k) , corresponding to the largest top K eigenvalues are finally obtained. After this process, high-quality data sets of the optical cable icing data are obtained.…”

Section: Principle Of Prediction Of Ice Thickness Of Opgwmentioning

confidence: 99%

“…However, in practical engineering application, due to fog, low temperature and other weather reasons, the image resolution may sharply decline and even the real-time image of OPGW optical cable cannot be collected. At the same time, there is the problem of insufficient battery life, resulting in the loss of collected data [2]. Analog wire method has low cost, convenient installation, does not affect normal transmission operations, does not involve live parts, but does not take into account the influence of transmission line temperature, dancing and wind load, low accuracy [3].…”

Section: Introductionmentioning

confidence: 99%

Prediction of ice thickness of Optical Fiber Composite Overhead Ground Wire (OPGW) based on multi-class support vector machine

Zhao

Tian

et al. 2023

14th International Photonics and Optoelectronics Meetings (POEM 2022)

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Optical fiber composite overhead ground wire (OPGW), which consists of ground wire and optical fibers, plays an important role at electric power communication system. In daily operation, due to bad low temperature, OPGW will be covered by ice, which will lead to OPGW galloping and sleet jump of the wire. Meanwhile, OPGW icing can also make the wire with strain, which has the possibility of fiber fracture. Therefore, it is very important to judge and predict the state of OPGW icing. In this paper, a prediction model of ice coating thickness of OPGW based on multi-class Support Vector Machine (SVM) is proposed. In this model, the optical cable icing data measured in actual operating environment and laboratory simulation experiments are used as the data set to construct the prediction model.

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“…We use the FB algorithm to obtain an effective solution to the inverse problem in (1). The cost function F(x) is divided into two functions of optimization problems, with the following form:…”

Section: Principlesmentioning

confidence: 99%

“…Due to the wide range of applications in structural health monitoring and the advantages of stability and flexibility in harsh environments, the Brillouin optical time domain sensing technology has attracted significant attention in recent decades [1][2][3][4]. It mainly includes the Brillouin optical time domain reflectometer (BOTDR) and the Brillouin optical time domain analysis (BOTDA) based on spontaneous and stimulated Brillouin scattering (SpBS and SBS), respectively.…”

Section: Introductionmentioning

confidence: 99%

Improving BFS measurement accuracy of BOTDR based on Cauchy proximal splitting

Han,

Zhang,

et al. 2023

Meas. Sci. Technol.

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A novel approach based on the Cauchy proximal splitting (CPS) algorithm is proposed to improve Brillouin frequency shift (BFS) measurement accuracy in Brillouin optical time domain reflectometry system. The CPS algorithm utilizes proximal splitting to handle the data and the penalty function based on Cauchy distribution to accurately estimate the target signal to promote sparsity, achieving significant improvement in signal-to-noise ratio (SNR). Experimental results confirm that with a SNR increase of 12.7 dB, an increase in BFS measurement accuracy from 4.78 MHz to 0.43 MHz is achieved over a 10.3 km sensing fiber. The denoising effects of the CPS, wavelet denoising (WD) and non-local mean (NLM) algorithms are further compared, demonstrating that the CPS algorithm has the lowest root mean square error (0.43 MHz) and no deterioration in spatial resolution rather than the WD and NLM algorithms does.

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Distributed Transmission Line Ice-Coating Recognition System Based on BOTDR Temperature Monitoring

Cited by 23 publications

References 16 publications

Information monitoring system of transmission line operation based on data analysis

Information monitoring system of transmission line operation based on data analysis

Prediction of ice thickness of Optical Fiber Composite Overhead Ground Wire (OPGW) based on multi-class support vector machine

Improving BFS measurement accuracy of BOTDR based on Cauchy proximal splitting

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