Transmission optical cable real-time alarm method and device based on deep learning algorithm

A transmission optical cable and deep learning technology, which is applied in the direction of measuring devices, calculations, computer components, etc., can solve the problem that optical cable monitoring technology is susceptible to noise and reliability, achieve accurate real-time alarm function, and avoid vulnerable and reliable conditions The effect of monitoring

Pending Publication Date: 2021-12-31
SHENZHEN POWER SUPPLY BUREAU
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Problems solved by technology

[0003] The technical problem to be solved by the embodiments of the present invention is to provide a real-time alarm method and device for transmission optical cab

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  • Transmission optical cable real-time alarm method and device based on deep learning algorithm
  • Transmission optical cable real-time alarm method and device based on deep learning algorithm
  • Transmission optical cable real-time alarm method and device based on deep learning algorithm

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Embodiment Construction

[0038] The following descriptions of various embodiments refer to the accompanying drawings to illustrate specific embodiments in which the present invention can be implemented.

[0039] Embodiments of the present invention provide a method and device for real-time alarming of transmission optical cables based on deep learning algorithms, which use the time series data of optical basic parameters of optical signals within a range of optical cables, and integrate deep learning algorithms to establish optical basic parameters of optical signals The relationship between the cable vibration and the fiber optic cable vibration is predicted in the future, and based on this, it is judged whether to send an alarm signal.

[0040] Such as figure 1 As shown, the real-time alarm method for transmission optical cables based on the deep learning algorithm of the embodiment of the present invention includes the following steps:

[0041] Step S1, constructing the optical cable space-time da...

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Abstract

The invention discloses a transmission optical cable real-time alarm method and device based on a deep learning algorithm. The method comprises the steps of constructing an optical cable spatio-temporal data set of a transmission optical cable; performing spatio-temporal feature extraction on the optical cable spatio-temporal data set; performing vibration data prediction by using a long short-term memory network to obtain a vibration data prediction value; and comparing the obtained vibration data prediction value with a preset vibration data threshold value, and sending out an alarm signal when the vibration data prediction value is greater than the vibration data threshold value. According to the invention, the accuracy of vibration data prediction is improved, the condition monitoring of the transmission optical cable can be carried out more reliably, and the real-time alarm function of the transmission optical cable can be realized more accurately, so that a worker can take prevention or remedial measures in time to protect the transmission optical cable.

Description

technical field [0001] The invention relates to the technical field of optical cable monitoring, in particular to a real-time alarm method and device for transmission optical cables based on a deep learning algorithm. Background technique [0002] Traditional optical cable monitoring technology usually collects optical basic parameters (such as wavelength, frequency, intensity, polarization state, phase, etc.) relationship, so as to realize the monitoring of the safety status of the optical cable and avoid external damage and theft. However, there are many factors affecting the vibration of optical cables. In addition to external factors such as pipe jacking construction, road excavation, underground drilling, external random factors, etc., it also includes the influence of optical signal basic parameter noise, which makes the reliability of optical cable monitoring in the existing technology lower. Contents of the invention [0003] The technical problem to be solved by...

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Application Information

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IPC IPC(8): G06K9/00G06N3/04G01H9/00
CPCG01H9/004G06N3/044G06N3/045G06F2218/08
Inventor 高强吕为吴谦张伟贤罗莉陈建民田志峰任建川丘国良林宁杨旸
Owner SHENZHEN POWER SUPPLY BUREAU
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