• Laser & Optoelectronics Progress
  • Vol. 58, Issue 13, 1306014 (2021)
Li Wang1、2, Yongjie Wang1, Fei Yu3、**, and Fang Li1、2、*
Author Affiliations
  • 1Laboratory of Optoelectronic System, Institute of Semiconductors, Chinese Academy of Sciences, Beijing 100083, China
  • 2College of Materials Science and Opto-Electronic Technology, University of Chinese Academy of Sciences, Beijing 100049, China
  • 3Institute of Oceanology, Chinese Academy of Sciences, Qingdao , Shandong 266071, China
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    DOI: 10.3788/LOP202158.1306014 Cite this Article Set citation alerts
    Li Wang, Yongjie Wang, Fei Yu, Fang Li. Application of Optical Fiber Sensing Technology in the Field of Physical Ocean Observation[J]. Laser & Optoelectronics Progress, 2021, 58(13): 1306014 Copy Citation Text show less
    Schematic of sensor structure and photos[30]. (a) Schematic of sensor structure; (b) photo of the sensor head
    Fig. 1. Schematic of sensor structure and photos[30]. (a) Schematic of sensor structure; (b) photo of the sensor head
    Warm deep chain equipment[31]. (a) Diagram of 630 m towing chain system; (b) winches and streamers; (c) warm deep chain in towing
    Fig. 2. Warm deep chain equipment[31]. (a) Diagram of 630 m towing chain system; (b) winches and streamers; (c) warm deep chain in towing
    Comparison of sea trial results in Dongsha Islands, South China Sea, July 2017[31]. (a) A towing chain; (b) traditional station observation
    Fig. 3. Comparison of sea trial results in Dongsha Islands, South China Sea, July 2017[31]. (a) A towing chain; (b) traditional station observation
    The sea trial direction and the total depth temperature profile of the cold water mass in the north Yellow Sea in October 2017[31]
    Fig. 4. The sea trial direction and the total depth temperature profile of the cold water mass in the north Yellow Sea in October 2017[31]
    Schematic of photonic crystal long period grating measurement system and its sensor structure[32]
    Fig. 5. Schematic of photonic crystal long period grating measurement system and its sensor structure[32]
    Schematic of the sensor structure at the Indian Institute of Technology[34]
    Fig. 6. Schematic of the sensor structure at the Indian Institute of Technology[34]
    Principle and data of two-core optical fiber measurement[39] . (a) Schematic of TCF salinity sensor; (b) temperature dependence of salinity sensor (concentration is 1 mol/L)
    Fig. 7. Principle and data of two-core optical fiber measurement[39] . (a) Schematic of TCF salinity sensor; (b) temperature dependence of salinity sensor (concentration is 1 mol/L)
    Spectral response of TCF salinity sensor[39]. (a) The NaCl concentration varies from 0 to 5 mol/L; (b) the NaCl concentration varies from 0 to 1 mol/L
    Fig. 8. Spectral response of TCF salinity sensor[39]. (a) The NaCl concentration varies from 0 to 5 mol/L; (b) the NaCl concentration varies from 0 to 1 mol/L
    Schematic of single-ended reflective fiber interferometer[44]
    Fig. 9. Schematic of single-ended reflective fiber interferometer[44]
    Sensing schematic of the F-P air cavity formed by capillary and optical fiber[45]
    Fig. 10. Sensing schematic of the F-P air cavity formed by capillary and optical fiber[45]
    Sensor response curves and sensitivity[46]. (a) Response of microcavity sensors; (b) pressure sensitivity of different microcavity sensors
    Fig. 11. Sensor response curves and sensitivity[46]. (a) Response of microcavity sensors; (b) pressure sensitivity of different microcavity sensors
    Fiber cross-section structure[48]. (a) Optical fibre cross-section; (b) local enlarged view of optical fibre cross-section; (c) SEM photo hole part of TC-PCF
    Fig. 12. Fiber cross-section structure[48]. (a) Optical fibre cross-section; (b) local enlarged view of optical fibre cross-section; (c) SEM photo hole part of TC-PCF
    The spectrum shift of the sensor with the hydrostatic pressure changes from 0 MPa to 45 MPa[48]
    Fig. 13. The spectrum shift of the sensor with the hydrostatic pressure changes from 0 MPa to 45 MPa[48]
    Fiber-optic Fabry-Perot high pressure sensor core structure[49]
    Fig. 14. Fiber-optic Fabry-Perot high pressure sensor core structure[49]
    Relationship curves between sensitivity and fiber diameter[51]
    Fig. 15. Relationship curves between sensitivity and fiber diameter[51]
    Schematic of HBEF sensor based on Sagnac loop[52]
    Fig. 16. Schematic of HBEF sensor based on Sagnac loop[52]
    Simulated spectra when L is 5.5 cm (red), 7.8 cm (blue), 29.9 cm (green), and 98.9 cm (black) [52]
    Fig. 17. Simulated spectra when L is 5.5 cm (red), 7.8 cm (blue), 29.9 cm (green), and 98.9 cm (black) [52]
    OMC sensor experiment process[53]. (a) Schematic of experimental apparatus for measuring salinity, temperature, and depth of sea water; (b) optical microscope images of the experimental apparatus for salinity measurement and OMC samples; (c) experimental apparatus for temperature measurement; (d) experimental apparatus for depth measurement
    Fig. 18. OMC sensor experiment process[53]. (a) Schematic of experimental apparatus for measuring salinity, temperature, and depth of sea water; (b) optical microscope images of the experimental apparatus for salinity measurement and OMC samples; (c) experimental apparatus for temperature measurement; (d) experimental apparatus for depth measurement
    Research area[59]
    Fig. 19. Research area[59]
    Turbulence mediating effects of aggregation and dissociation rates in the upper ocean[61]
    Fig. 20. Turbulence mediating effects of aggregation and dissociation rates in the upper ocean[61]
    Structure of sensor head[65]. (a) Schematic of sensor probe structure; (b) description of working principle
    Fig. 21. Structure of sensor head[65]. (a) Schematic of sensor probe structure; (b) description of working principle
    Experimental data of a fast-changing temperature turbulent heat dissipation sensor[65]. (a) Place an ice pack on the surface of the water; (b) measure turbulence by pouring some hot water into a bucket of cold water, and the response of a commercial high speed thermistor FP07 is provided for calibration and reference
    Fig. 22. Experimental data of a fast-changing temperature turbulent heat dissipation sensor[65]. (a) Place an ice pack on the surface of the water; (b) measure turbulence by pouring some hot water into a bucket of cold water, and the response of a commercial high speed thermistor FP07 is provided for calibration and reference
    Sensor package structure[66]
    Fig. 23. Sensor package structure[66]
    Comparison diagram of correlation between PNS signal and FBG signal[66]
    Fig. 24. Comparison diagram of correlation between PNS signal and FBG signal[66]
    ParameterAdvantageDisadvantage
    Temperature

    ① The sensors are intrinsically insulated and resistant to electromagnetic interference.

    ② Low cost and easy reuse of sensing probes.

    ③ Suitable for long time, real time, fast, in-situ measurements.

    ④Networked measurements for different scales of the ocean

    ①Complex principles of demodulation equipment in general.

    ② High precision demodulators are expensive.

    ③ Lack of accuracy of mature products (less than 0.001 °C)

    Salinity

    ① The FBG temperature sensor and the F-P refractive index sensor can be used to solve the salinity spike problem by using the co-axial integration of capillary quartz tube nested inside and outside to achieve a true co-point measurement.

    ② High sensitivity salinity sensors can be made based on different principles

    ① Long response time, generally higher than 50 ms (compare with the CTD instrument from Sea Bird, USA).

    ② The calibration process requires complete replacement of the liquid, which is a complex process, and the accuracy can generally only reach the secondary standard.

    ③Immature calibration protocols and lack of unified measurement standards

    Depth

    ① High sensitivity.

    ② Fast response time

    ① Creep problem has not been solved.

    ② Accuracy is generally slightly lower than that of electronic sensors

    Flow rate of turbulence

    ① The low cost of the sensing probe can be made expendable for use to fill the gap in the bottom boundary layer turbulent kinetic energy dissipation rate measurement data.

    ② Good long-term stability of the sensor

    ① The calibration process is complicated.

    ② Interferometer is sensitive to noise, and it will be challenging to improve the signal-to-noise ratio for sea trial data

    Table 1. Summary of advantages and disadvantages of fiber optic temperature, salinity, depth, and flow sensor
    Li Wang, Yongjie Wang, Fei Yu, Fang Li. Application of Optical Fiber Sensing Technology in the Field of Physical Ocean Observation[J]. Laser & Optoelectronics Progress, 2021, 58(13): 1306014
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