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Distributed Sensing of Animation Art Style under Big Data Technology

Published: 14 March 2022 Publication History

Abstract

The distributed optical fiber sensor has the unique advantages of small size, light weight, electrical insulation, anti-electromagnetic interference and long-distance transmission and sensing. It is widely used in the fields of transportation, industry and mining, national defense, military, biological medical, aerospace and so on. This paper mainly analyzes the status quo and significance of using big data technology to solve the problems existing in distributed optical fiber sensing power cable and pipeline safety monitoring. Considering the characteristics of distributed fiber optic sensing data and big data processing technology, an overall framework of distributed fiber optic sensing big data storage, management and processing is constructed, which adopts a three-layer architecture of data acquisition layer, data storage management layer and data processing layer, and combined with the actual application scenarios to build a big data cluster.

References

[1]
Li K., Zhang N., Zhang N. M.Y, (2018) “Birefringence induced Vernier effect in optical fiber modal interferometers for enhanced sensing”, Sensors and Actuators, B275(DEC.):16-24.
[2]
Paul, D., Dutta, S., Sana, D., & Biswas, R. (2017) “Lspr based ultra-sensitive low cost u-bent optical fiber for volatile liquid sensing”, Sensors & Actuators B Chemical, 250(oct.), 198-207.
[3]
Zhu H., Shan X., Sun X. (2017) “Analysis and demonstration of vibration waveform reconstruction in distributed optical fiber vibration sensing system”, Optical Engineering, 56(10):107110.1-107110.6.
[4]
Wang X., Luo X. H., Long W. X., (2021) “Back analysis of pile and anchor retaining structure based on BOTDA distributed optical fiber sensing technology”, E3S Web of Conferences, 248(1–2):01036.
[5]
Figueira R B, Silva C. (2020) “Organic-Inorganic Hybrid Sol-Gel Materials for Optical Fiber Sensing Application”, ECS Meeting Abstracts, MA2020-02(66):3369-3369.
[6]
Dong Y. (2021) “High-Performance Distributed Brillouin Optical Fiber Sensing”, Photonic Sensors, 11(1):69-90.
[7]
Cui L. J., Cao Y. L., Guo H. H, (2019) “Distributed Optical Fiber Sensing Measurement Based on Time Offset”, Journal of Nanoelectronics and Optoelectronics, 14(3):413-419.
[8]
Wu C., Sun K, Xu Y., (2019) “Concrete crack detection method based on optical fiber sensing network and microbending principle”, Safety Science, 117(8):299-304.
[9]
Xu B., Liu Y, Wang D., (2017) “Optical fiber Fabry-Pérot interferometer based on an air-cavity for gas pressure sensing”, IEEE Photonics Journal, 9(2):1-9.
[10]
Liang Y., Lv L., Huang L, (2018) “Noise reduction method based on timed frequency hopping in long distance optical fiber sensing system”, Journal of Computational Methods in Sciences & Engineering, 18(2):1-10.
[11]
X Liu., Ying Q., Zhang J., (2018) “Mine Personnel Orientation Method Based on Optical Fiber Sensing Detection”, Chinese Journal of Sensors and Actuators, 31(9):1325-1330 and 1336.
[12]
Jang B. W., Kim C. G.(2018) “Real-time estimation of delamination occurrence induced by low-velocity impact in composite plates using optical fiber sensing system”, Composite Structures, 189(APR.):455-462.

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AIAM2021: 2021 3rd International Conference on Artificial Intelligence and Advanced Manufacture
October 2021
3136 pages
ISBN:9781450385046
DOI:10.1145/3495018
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

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Published: 14 March 2022

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