CN114942238A - Solid buoyancy material testing method based on intelligent optical fiber - Google Patents
Solid buoyancy material testing method based on intelligent optical fiber Download PDFInfo
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- CN114942238A CN114942238A CN202210295124.1A CN202210295124A CN114942238A CN 114942238 A CN114942238 A CN 114942238A CN 202210295124 A CN202210295124 A CN 202210295124A CN 114942238 A CN114942238 A CN 114942238A
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- 239000013307 optical fiber Substances 0.000 title claims abstract description 41
- 239000007787 solid Substances 0.000 title claims abstract description 35
- 238000000034 method Methods 0.000 title claims abstract description 18
- 238000004154 testing of material Methods 0.000 title claims abstract description 9
- 239000000835 fiber Substances 0.000 claims abstract description 60
- 239000000463 material Substances 0.000 claims abstract description 30
- 238000001228 spectrum Methods 0.000 claims abstract description 26
- 238000012545 processing Methods 0.000 claims abstract description 18
- 238000001514 detection method Methods 0.000 claims abstract description 11
- 230000007613 environmental effect Effects 0.000 claims abstract description 7
- 230000003595 spectral effect Effects 0.000 claims description 9
- 230000004927 fusion Effects 0.000 claims description 3
- 230000006378 damage Effects 0.000 description 7
- 238000012360 testing method Methods 0.000 description 6
- 238000009659 non-destructive testing Methods 0.000 description 4
- 230000007547 defect Effects 0.000 description 3
- 238000005516 engineering process Methods 0.000 description 3
- 239000002131 composite material Substances 0.000 description 2
- 230000009189 diving Effects 0.000 description 2
- 239000000284 extract Substances 0.000 description 2
- 238000005336 cracking Methods 0.000 description 1
- 230000001934 delay Effects 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 238000007667 floating Methods 0.000 description 1
- 230000002706 hydrostatic effect Effects 0.000 description 1
- 238000005259 measurement Methods 0.000 description 1
- 238000012544 monitoring process Methods 0.000 description 1
- 230000000737 periodic effect Effects 0.000 description 1
- 238000011897 real-time detection Methods 0.000 description 1
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 1
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/17—Systems in which incident light is modified in accordance with the properties of the material investigated
- G01N21/55—Specular reflectivity
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01L—MEASURING FORCE, STRESS, TORQUE, WORK, MECHANICAL POWER, MECHANICAL EFFICIENCY, OR FLUID PRESSURE
- G01L1/00—Measuring force or stress, in general
- G01L1/24—Measuring force or stress, in general by measuring variations of optical properties of material when it is stressed, e.g. by photoelastic stress analysis using infrared, visible light, ultraviolet
- G01L1/242—Measuring force or stress, in general by measuring variations of optical properties of material when it is stressed, e.g. by photoelastic stress analysis using infrared, visible light, ultraviolet the material being an optical fibre
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- General Health & Medical Sciences (AREA)
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Abstract
The invention discloses a solid buoyancy material testing method based on intelligent optical fibers, which is characterized in that a plurality of optical fibers of an optical fiber grating sensor are inscribed at different positions and distributed on a solid buoyancy material, and the wavelength of the optical fiber grating sensor changes along with the pressure change of an external environment; the detection light of the signal acquisition system enters the fiber bragg grating sensor to generate reflection; the time delay of the reflection spectrum of each fiber bragg grating is different, and the reflection spectrum drifts along with the change of the environmental pressure; the signal processing system reads the reflection spectrum information, analyzes the drift amount of the reflection peak in the spectrum information, and the size of the drift amount is in direct proportion to the pressure change of the position point of the fiber grating, so that the pressure change size of the point is obtained, and the position point of the fiber grating is judged by using the time delay size of the spectrum information; the pressure change of the position point of each fiber grating is obtained by collecting the reflection spectra of the plurality of fiber gratings, so that the pressure distribution of the whole solid buoyancy material is obtained.
Description
Technical Field
The invention relates to the technical field of material detection, in particular to a solid buoyancy material testing method based on an intelligent optical fiber.
Background
Abundant resources and energy sources are stored in the sea, and particularly in the deep sea field, under the condition that land resources are increasingly exhausted, the deep sea development is a necessary trend. The deep sea submersible, especially the deep sea manned submersible, is the leading edge and the high point of the ocean strategy, and the solid buoyancy material as the important material for making the shell and the member of the deep sea submersible becomes the focus of people's attention. Since the pressure increases sharply and the environmental conditions worsen as the diving depth increases, the requirements on the performance of the solid buoyancy material also increase as the diving depth of the deep submersible increases. The solid buoyancy material applied to deep sea requires both high compressive strength to bear the action of water pressure and as low as possible density to provide certain buoyancy for the floating of the deep submersible vehicle.
The solid buoyancy material belongs to a composite material, has a complex internal structure and poor stability of a forming process, and is easy to generate debonding, cracking and other damages inside a structure under the action of force loads (hydrostatic pressure, impact, collision and the like) and environmental loads (corrosive media such as high temperature, high humidity, high salinity and the like) in the using process. The method can find out the structural damage and destruction in the solid buoyancy material in time, and has important significance for avoiding causing sudden destruction and structural failure. However, due to the fact that defects and damage modes of the composite material structure have the characteristic of being difficult to observe and detect, although the existing nondestructive testing technology can play a certain role in damage detection of the buoyancy material, the existing nondestructive testing technology cannot perform on-site real-time detection and cannot detect damage of a secret part, and for large-size samples, the traditional nondestructive testing technology is high in testing cost, and the testing speed and the testing efficiency cannot meet requirements of all aspects easily.
Disclosure of Invention
The invention aims to solve the technical problem of providing a solid buoyancy material testing method based on an intelligent optical fiber, which overcomes the defects of nondestructive testing of the traditional solid buoyancy material.
In order to solve the technical problem, the solid buoyancy material testing method based on the intelligent optical fiber comprises the following steps:
firstly, arranging optical fibers on a solid buoyancy material in a distributed manner, writing a plurality of fiber gratings on different positions of the optical fibers to form a fiber grating sensor, wherein the wavelength of the fiber grating sensor changes along with the pressure change of the external environment;
step two, the signal processing system can emit detection light, the detection light is pulse modulation light, and the modulation period is determined by the length of the optical fiber; the pulse modulated light enters the fiber grating sensor to be reflected, and the reflected spectrum is determined by the fiber grating period of the reflection point;
step three, the spectrum time delay of the fiber bragg gratings at different positions of the same optical fiber reflecting back to the signal processing system is different, and the reflection spectrum of the fiber bragg gratings at each position drifts through the change of the environmental pressure;
reading the spectral information reflected by the fiber bragg grating by the signal processing system, analyzing the drift amount of a reflection peak in the spectral information, wherein the size of the drift amount is in direct proportion to the pressure change of the position point of the fiber bragg grating, so that the size of the pressure change of the point is obtained, and judging the position point of the fiber bragg grating by using the time delay size of the spectral information;
and step five, acquiring the reflection spectrums of the plurality of fiber gratings of the optical fiber at different positions by the signal processing system, and obtaining the pressure change magnitude of the position point of each fiber grating, thereby obtaining the pressure distribution of the whole solid buoyancy material.
Further, the signal processing system is connected with the optical fiber in a mode of optical fiber fusion.
The solid buoyancy material testing method based on the intelligent optical fiber adopts the technical scheme that the optical fiber distribution of the optical fiber sensors formed by writing a plurality of optical fiber gratings at different positions is arranged on the solid buoyancy material, and the wavelength of the optical fiber sensors changes along with the change of the external environment pressure; the detection light of the signal acquisition system enters the fiber bragg grating sensor to generate reflection; the reflection spectrum delays of the fiber gratings are different, and the reflection spectrum drifts along with the change of the environmental pressure; the signal processing system reads the reflection spectrum information, analyzes the drift amount of the reflection peak in the spectrum information, and the size of the drift amount is in direct proportion to the pressure change of the position point of the fiber grating, so that the pressure change size of the point is obtained, and the position point of the fiber grating is judged by using the time delay size of the spectrum information; the pressure change of the position point of each fiber grating is obtained by collecting the reflection spectra of the plurality of fiber gratings, so that the pressure distribution of the whole solid buoyancy material is obtained. The method overcomes the defects of nondestructive detection of the traditional solid buoyancy material, and utilizes the distribution design of the fiber bragg grating based on the intelligent optical fiber embedded with the fiber bragg grating to position the fiber bragg grating signals at different positions in a time delay manner, extract the pressure distribution of the solid buoyancy material and monitor the health condition of the solid buoyancy material in real time.
Drawings
The invention is described in further detail below with reference to the following figures and embodiments:
FIG. 1 is a schematic diagram illustrating the principle of the method for testing the solid buoyancy material based on the intelligent optical fiber according to the present invention;
FIG. 2 is a flow chart of a method for testing the solid buoyancy material based on the intelligent optical fiber.
Detailed Description
Embodiment as shown in fig. 1 and 2, the method for testing the solid buoyancy material based on the intelligent optical fiber comprises the following steps:
firstly, arranging optical fibers on a solid buoyancy material in a distributed manner, writing a plurality of fiber gratings on different positions of the optical fibers to form a fiber grating sensor, wherein the wavelength of the fiber grating sensor changes along with the pressure change of the external environment;
step two, the signal processing system can emit detection light, the detection light is pulse modulation light, and the modulation period is determined by the length of the optical fiber; the pulse modulated light enters the fiber grating sensor to be reflected, and the reflected spectrum is determined by the fiber grating period of the reflection point; the fiber grating is a sensing element formed by fiber with a fiber core with a local periodic variation of the refractive index, and the length of one period of the refractive index variation is the period of the fiber grating;
step three, the spectrum time delay of the fiber bragg gratings at different positions of the same optical fiber reflecting back to the signal processing system is different, and the reflection spectrum of the fiber bragg gratings at each position drifts through the change of the environmental pressure;
reading the spectral information reflected by the fiber bragg grating by the signal processing system, analyzing the drift amount of a reflection peak in the spectral information, wherein the size of the drift amount is in direct proportion to the pressure change of the position point of the fiber bragg grating, so that the size of the pressure change of the point is obtained, and judging the position point of the fiber bragg grating by using the time delay size of the spectral information;
and step five, acquiring the reflection spectrums of the plurality of fiber gratings of the optical fiber at different positions by the signal processing system, and obtaining the pressure change magnitude of the position point of each fiber grating, thereby obtaining the pressure distribution of the whole solid buoyancy material.
Preferably, the signal processing system is connected with the optical fiber by means of optical fiber fusion.
The method comprises the steps of writing a plurality of fiber gratings on one optical fiber in a distributed manner, reading pressure distributed signals, judging position signals of the fiber gratings by a signal processing system according to the time delay of a reflection spectrum, and obtaining reflection spectrum signals corresponding to the fiber gratings, so that the pressure distribution of the whole solid buoyancy material is obtained, and the health condition of the solid buoyancy material is monitored in real time.
The method is applied to the actual working state of the buoyancy material, utilizes the fiber bragg grating to sensitively measure the pressure change in real time, realizes the real-time monitoring of the solid buoyancy material, and extracts the integral pressure distribution of the solid buoyancy material through distributed measurement.
Claims (2)
1. A solid buoyancy material testing method based on an intelligent optical fiber is characterized by comprising the following steps:
firstly, arranging optical fibers on a solid buoyancy material in a distributed manner, writing a plurality of fiber gratings on different positions of the optical fibers to form a fiber grating sensor, wherein the wavelength of the fiber grating sensor changes along with the pressure change of the external environment;
step two, the signal processing system can emit detection light, the detection light is pulse modulation light, and the modulation period is determined by the length of the optical fiber; the pulse modulated light enters the fiber grating sensor to be reflected, and the reflected spectrum is determined by the fiber grating period of the reflection point;
step three, the spectrum time delay of the fiber bragg gratings at different positions of the same optical fiber reflecting back to the signal processing system is different, and the reflection spectrum of the fiber bragg gratings at each position drifts through the change of the environmental pressure;
reading the spectral information reflected by the fiber bragg grating by the signal processing system, analyzing the drift amount of a reflection peak in the spectral information, wherein the size of the drift amount is in direct proportion to the pressure change of the position point of the fiber bragg grating, so that the size of the pressure change of the point is obtained, and judging the position point of the fiber bragg grating by using the time delay size of the spectral information;
and step five, acquiring the reflection spectrums of the plurality of fiber gratings of the optical fiber at different positions by the signal processing system, and obtaining the pressure change magnitude of the position point of each fiber grating, thereby obtaining the pressure distribution of the whole solid buoyancy material.
2. The intelligent optical fiber-based solid buoyancy material testing method according to claim 1, wherein: the signal processing system is connected with the optical fiber in a fiber fusion mode.
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| CN202210295124.1A CN114942238A (en) | 2022-03-24 | 2022-03-24 | Solid buoyancy material testing method based on intelligent optical fiber |
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| CN202210295124.1A CN114942238A (en) | 2022-03-24 | 2022-03-24 | Solid buoyancy material testing method based on intelligent optical fiber |
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Citations (5)
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|---|---|---|---|---|
| FI955511A0 (en) * | 1994-11-17 | 1995-11-15 | Alcatel Cable | A method for detecting and / or measuring physical quantities using a distributed sensor |
| CN101403668A (en) * | 2008-11-03 | 2009-04-08 | 海洋化工研究院 | Measuring apparatus and test method for volume elastic modulus of solid buoyancy material |
| CN101819160A (en) * | 2009-02-26 | 2010-09-01 | 沈阳航空工业学院 | Method for positioning transverse cracks of carbon fiber composite material by using chirp grating |
| CN109916741A (en) * | 2019-01-18 | 2019-06-21 | 昆明理工大学 | An Algorithm for Shock Crack Detection of Composite Materials Based on Fiber Bragg Grating Sensing |
| CN213353175U (en) * | 2020-06-19 | 2021-06-04 | 北玻院(滕州)复合材料有限公司 | Wind-powered electricity generation blade mould zone of heating, wind-powered electricity generation blade mould and mould profile monitoring system |
-
2022
- 2022-03-24 CN CN202210295124.1A patent/CN114942238A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| FI955511A0 (en) * | 1994-11-17 | 1995-11-15 | Alcatel Cable | A method for detecting and / or measuring physical quantities using a distributed sensor |
| CN101403668A (en) * | 2008-11-03 | 2009-04-08 | 海洋化工研究院 | Measuring apparatus and test method for volume elastic modulus of solid buoyancy material |
| CN101819160A (en) * | 2009-02-26 | 2010-09-01 | 沈阳航空工业学院 | Method for positioning transverse cracks of carbon fiber composite material by using chirp grating |
| CN109916741A (en) * | 2019-01-18 | 2019-06-21 | 昆明理工大学 | An Algorithm for Shock Crack Detection of Composite Materials Based on Fiber Bragg Grating Sensing |
| CN213353175U (en) * | 2020-06-19 | 2021-06-04 | 北玻院(滕州)复合材料有限公司 | Wind-powered electricity generation blade mould zone of heating, wind-powered electricity generation blade mould and mould profile monitoring system |
Non-Patent Citations (1)
| Title |
|---|
| 赵泽华: "碳纤维增强固体浮力材料的制备以及性能研究", 中国优秀硕士学位论文电子期刊工程科技Ⅰ辑, no. 03, 15 March 2022 (2022-03-15), pages 020 - 654 * |
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