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Optical cable monitoring method in submarine cable production and laying process based on artificial intelligence

An artificial intelligence and submarine cable technology, applied in electrical components, electromagnetic wave transmission systems, transmission systems, etc., can solve problems such as poor generalization ability, untimely optical cable monitoring, and large manpower input, so as to facilitate fault detection and improve monitoring response The effect of speed and accuracy improvement

Active Publication Date: 2021-09-17
NANJING HUAMAI TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

There are following problems in the prior art: first, the optical cable monitoring is not timely
Second, it requires a lot of manpower
Submarine cable production requires 24-hour continuous production, requiring a lot of manpower for continuous testing
Third, there are human factors in monitoring quality
Each monitoring needs to repeat the connection of optical cable and OTDR test. Whether there is a fault needs to be judged manually based on experience, and there may be missed judgments
Fourth, the generalization ability of the conventional denoising method is poor, and the noise power of the submarine cable is different in different locations, so it is difficult to achieve a better denoising effect, so as to analyze the fault degree and location more accurately

Method used

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  • Optical cable monitoring method in submarine cable production and laying process based on artificial intelligence
  • Optical cable monitoring method in submarine cable production and laying process based on artificial intelligence

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Experimental program
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Effect test

Embodiment 1

[0022] The specific scenario targeted by the present invention is: the submarine cable production scenario, the optical cable category includes 36 cores, 72 cores, 108 cores and more optical fibers; the factory test data of OTDR has been obtained by default.

[0023] The OTDR sends periodic light pulses to the optical fiber and tests the reflected signal to obtain the backscattering curve. It not only shows the attenuation due to the intrinsic characteristics of the fiber, but also includes sudden changes in the characteristics of the fiber. This sudden change (that is, an event) is usually caused by a connector, a splicing point, a connector, a bend, or other similar events; the OTDR calculates the distance between the event occurrence point and the OTDR device by testing the reflection time of the light wave. Through the detection of the curve, the status of the current route and the quality of the connection point and the connector can be obtained.

[0024] This embodiment...

Embodiment 2

[0036] This embodiment provides an artificial intelligence-based method for monitoring optical cables during the production and laying of submarine cables. On the basis of Embodiment 1, it is possible to quickly measure the on-off monitoring of optical fibers without investing a lot of manpower in testing.

[0037] Specifically, the light source and optical power monitoring instrument (optical power meter) are placed at one end of a single optical fiber through a coupler, and a reflector is deployed at the other end to realize real-time monitoring of fiber on and off. The structure of the optical cable on and off fast monitoring module Such as figure 1 shown. It can simultaneously monitor the overall loss of 36 cores, 72 cores, 108 cores and more optical fibers in real time at the millisecond level. When the overall loss of any one core fiber is abnormal, the alarm can be uploaded to the network management within 5 seconds; compared with existing There is a method that does n...

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Abstract

The invention provides an artificial intelligence-based optical cable monitoring method in the process of submarine cable production and laying. The method includes: intercepting a section of curve to be processed from the OTDR test curve of the submarine cable, inputting the curve to be processed into the first network to obtain a reference curve and a noise curve; The power dimension data of the vector is changed to the reference power to obtain the reconstructed intermediate vector, and the reconstructed intermediate vector is input to the decoding end of the variational self-encoder to obtain the reconstructed noise curve; the low-noise power curve is obtained according to the reference curve and the reconstructed noise curve. The low noise power curve is analyzed to obtain the submarine cable fault information. The invention improves the monitoring response speed and the accuracy of fault detection and analysis.

Description

technical field [0001] The invention relates to the technical fields of optical cable monitoring and artificial intelligence, in particular to an artificial intelligence-based optical cable monitoring method in the process of submarine cable production and laying. Background technique [0002] The existing solution for submarine cable monitoring is: use OTDR to test each fiber optic cable every 4-6 hours, and the OTDR test time for each fiber optic cable is at least 1 minute, and it takes more than 1 hour for the 72-core fiber optic cable; the existing OTDR In the test, the processing of noise factors is usually a conventional denoising method. The prior art has the following problems: first, the monitoring of the optical cable is not timely. Test every 4-6 hours, and each test lasts for more than 1 hour, which will cause the fault to be found after 4-6 hours after the cable fails. Second, it requires a lot of manpower. Submarine cable production requires 24-hour continuo...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04B10/071H04B10/079
CPCH04B10/071H04B10/0791H04B10/0795
Inventor 夏海斌朱孟达
Owner NANJING HUAMAI TECH
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