CN116202567A - Ultrahigh frequency response optical fiber spectrometer based on spectrum reconstruction and implementation method - Google Patents
Ultrahigh frequency response optical fiber spectrometer based on spectrum reconstruction and implementation method Download PDFInfo
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Abstract
The invention relates to an ultra-high frequency response optical fiber spectrometer based on spectrum reconstruction and an implementation method thereof, comprising a spontaneous radiation light source, an optical circulator, an optical fiber sensor interface to be detected, a athermal multichannel array waveguide grating, a high-speed photoelectric detector array, a driving circuit module, a data processing module and a data display module, wherein each spectrum scanning process of the optical fiber spectrometer comprises a first scanning process and a second scanning process, the transmission intensity of reflected light of the optical fiber sensor to be detected in each channel of the athermal multichannel array waveguide grating is obtained in the first scanning process, and the second scanning process obtains the intensity of each sampling point of the optical fiber sensor to be detected specified in a specific wavelength range by utilizing a neural network model so as to realize the high-speed reconstruction of the reflected spectrum. The ultra-high frequency response optical fiber spectrometer based on spectrum reconstruction provided by the invention does not depend on a micro-electromechanical system and has no tuning structure, and has the advantages of high frequency response, small volume, high integration level, low cost and strong stability.
Description
Technical Field
The invention relates to the technical field of optical fiber sensor spectrum reconstruction, in particular to an ultrahigh frequency response optical fiber spectrometer based on spectrum reconstruction and an implementation method.
Background
Fiber optic sensors are widely used in temperature, pressure, stress, biosensing and dispersion measurement applications due to their significant advantages in terms of measurement sensitivity, resolution, stability and cost. The performance of fiber optic sensors in practical measurement applications depends on targeted demodulation, with acquisition of the sensor reflectance spectrum being the most efficient demodulation method.
In general, scanning an optical fiber sensor with a spectrum analyzer (OSA) is the most direct means of acquiring its reflectance spectrum. However, commercial spectrometers are difficult to integrate into instrumentation due to their large volume and cumbersome data processing procedures, and moreover, their large scale use is severely hampered by the high price. In contrast, compact, miniaturized spectrometers are significantly competitive since large scale deployment of spectrometers is a prerequisite for the application of fiber optic sensors in practical measurement scenarios. To date, miniaturized spectrometers are mostly based on microelectromechanical systems technology, however, they are not dominant in terms of stability due to a serious dependence on mechanical structures or fiber structures (e.g. fiber bragg gratings, fiber Fabry-Perot interferometers, etc.), or complex algorithms (e.g. fast fourier transforms, etc.). Furthermore, their performance index does not allow for both high sampling frequency and high resolution (e.g., CCD array based spectrometers, tunable laser based spectrometers, etc.). These factors make them less than desirable for providing relatively high frequency, high stability, low cost, and ease of integration.
Therefore, how to provide a fiber optic spectrometer with high frequency, high stability, low cost and easy integration is a technical problem to be solved by those skilled in the art.
Disclosure of Invention
Aiming at the problems, the invention aims to provide an ultrahigh frequency response optical fiber spectrometer based on spectrum reconstruction and an implementation method thereof, which have the advantages of easiness in integration, small volume, low cost, high stability and high frequency response.
In order to achieve the above object, the present invention provides an ultrahigh frequency response fiber spectrometer based on spectrum reconstruction, comprising: the device comprises a spontaneous radiation light source, an optical circulator, an optical fiber sensor interface to be tested, a athermal multichannel array waveguide grating, a high-speed photoelectric detector array, a driving circuit module, a data processing module and a data display module;
the self-radiating light source is connected with the input end of the optical circulator; the input and output ends of the optical circulator are connected with the interface of the optical fiber sensor to be tested; the output end of the optical circulator is connected with the input end of the athermal multichannel array waveguide grating; the N channel output ends of the athermal multichannel arrayed waveguide grating are correspondingly connected with the input ends of N high-speed photodetectors in the high-speed photodetector array; the output end of the driving circuit module is respectively connected with the high-speed photoelectric detector array and the input pin of the data processing module; the output end of the high-speed photoelectric detector array is connected with the input end of the data processing module; the data display module is connected with the data processing module;
the self-emission light source is used for outputting broadband laser with a specified wave band in the first scanning process;
the optical circulator is used for inputting broadband laser output by the spontaneous emission light source in the first scanning process to an optical fiber sensor connected to the optical fiber sensor interface to be tested, forming a reflection spectrum and inputting the reflection spectrum to the athermal multichannel arrayed waveguide grating;
the optical fiber sensor interface to be tested is used for connecting a specified optical fiber sensor;
the athermal multichannel array waveguide grating is used for demultiplexing reflected light of an optical fiber sensor connected to the optical fiber sensor interface to be tested into different channels;
the high-speed photoelectric detector array is used for converting optical signals into electric signals and providing a conversion mechanism for converting the reflection spectrum of the optical fiber sensor into transmission intensities in various channels of the athermal multichannel arrayed waveguide grating;
the driving circuit module is used for supplying power to the high-speed photoelectric detector array and the data processing module so as to realize corresponding functions;
the data processing module receives signals from the high-speed photoelectric detector array and performs subsequent processing, and a neural network model is deployed on the data processing module and is used for outputting light intensity point by point in a specific wavelength range so as to finish high-speed reconstruction of the reflection spectrum of the optical fiber sensor;
the data display module is used for visualizing the reflection spectrum of the optical fiber sensor reconstructed at high speed by the data processing module.
Preferably, the wavelength range of the output of the spontaneous emission light source corresponds to the wavelength range of the athermal multichannel arrayed waveguide grating.
Preferably, the optical circulator is a 1*2 optical circulator, the input and output ends of the 1*2 optical circulator are connected with the interface of the optical fiber sensor to be tested, and the output end of the 1*2 optical circulator is connected with the input end of the athermal multichannel arrayed waveguide grating.
Preferably, the athermal multichannel arrayed waveguide grating has no less than forty output channels thereon, each of which exists independently.
Preferably, the high-speed photoelectric detector array is provided with high-speed photoelectric detectors corresponding to the number of output channels of the athermal multichannel array waveguide grating, and the high-speed photoelectric detectors are used for converting optical signals into electric signals.
Preferably, the spectrum scanning process of the optical fiber spectrometer comprises a first scanning process and a second scanning process, and the first scanning process is as follows: obtaining the transmission light intensity of an optical fiber sensor connected to an interface of the optical fiber sensor to be measured under each channel of the athermal multichannel array waveguide grating; the second scanning process is as follows: and obtaining the intensity of each sampling point in the specific wavelength range of the optical fiber sensor by using a neural network model arranged in the data processing module, reconstructing the reflection spectrum of the optical fiber sensor according to the intensity so as to map to the data display module, and completing the high-speed scanning of the reflection spectrum of the optical fiber sensor.
Preferably, the data processing module deploys a neural network model, and is configured to receive the transmission intensity of each output channel in the athermal multichannel arrayed waveguide grating in the first scanning process, and then enter the second scanning process to complete high-speed reconstruction of the reflection spectrum of the optical fiber sensor connected to the optical fiber sensor interface to be tested in a specific wavelength range.
Preferably, the neural network model deployed by the data processing module takes transmission intensity of each output channel in the athermal multichannel array waveguide grating as input, takes intensity of each sampling point of an optical fiber sensor connected to the interface of the optical fiber sensor to be tested in a specific wavelength range as output, and establishes a nonlinear relation between the transmission intensity and the intensity of the sampling point.
The invention also provides an implementation method of the ultra-high frequency response optical fiber spectrometer based on spectrum reconstruction, which comprises the following steps:
s110: adjusting a spontaneous emission light source to output broadband laser with a specified wave band to an optical circulator;
s120: the optical circulator outputs broadband light to an optical fiber sensor interface to be tested;
s130: reflected light of the optical fiber sensor connected to the interface of the optical fiber sensor to be measured is output to the athermal multichannel array waveguide grating by the optical circulator;
s140: demultiplexing the reflected light of the optical fiber sensor connected to the interface of the optical fiber sensor to be tested into different channels by using the athermal multichannel array waveguide grating;
s150: the method comprises the steps that N channel outputs of a athermal multichannel array waveguide grating are correspondingly connected with inputs of N high-speed photodetectors in a high-speed photodetector array, and reflection spectrum changes of an optical fiber sensor are converted into transmission intensities in all channels of the athermal multichannel array waveguide grating;
s160: the data processing module receives and processes the data from the high-speed photoelectric detector array, and completes high-speed reconstruction of the reflection spectrum of the optical fiber sensor connected to the optical fiber sensor interface to be tested in a specific wavelength range;
s170: the data display module visualizes the reflection spectrum of the optical fiber sensor quickly reconstructed by the data processing module, and realizes the display function of the optical fiber spectrometer.
Compared with the prior art, the invention has the following advantages and technical effects:
the invention utilizes athermal multichannel arrayed waveguide grating to convert the reflection spectrum of the optical fiber sensor in a specific wavelength range into transmission intensity in each channel of the arrayed waveguide grating, wherein photoelectric conversion is realized by a high-speed photoelectric detector array. The neural network model is trained to read the transmission intensity data and output the intensity of the reflection spectrum sampling point of the optical fiber sensor in a specific wavelength range, high-speed reconstruction of the reflection spectrum of the optical fiber sensor is completed, and the basic function of the high-frequency response optical fiber spectrometer is realized. The system can at least reach the sampling frequency of MHz level, the use of passive and highly integrated optical devices greatly reduces the overall complexity of the optical fiber spectrometer, and the tuning-free structure ensures that the optical fiber spectrometer is highly stable and has good repeatability; in addition, demodulation of various different optical fiber sensors can be realized, and the method has good applicability; secondly, according to actual needs, the selected athermal multichannel array waveguide grating channel can be adjusted to realize the change of the wavelength range scanned by the spectrometer; the optical fiber spectrometer system is stable, high in performance, cost-effective and suitable for various actual optical fiber measurement scenes.
Drawings
The accompanying drawings, which are included to provide a further understanding of the application, illustrate and explain the application and are not to be construed as limiting the application. In the drawings:
FIG. 1 is a schematic diagram of an ultra-high frequency response fiber spectrometer based on spectral reconstruction;
FIG. 2 is a schematic diagram of an embodiment of an ultra-high frequency response fiber optic spectrometer based on spectral reconstruction according to the present invention;
FIG. 3 is a schematic diagram of a neural network model in an ultrahigh frequency response fiber spectrometer based on spectral reconstruction;
FIG. 4 is a schematic diagram of the actual reflection spectrum of the optical fiber Fabry-Perot interferometric sensor connected to the ultra-high frequency response optical fiber spectrometer based on spectrum reconstruction, wherein the external part of the reflection spectrum of the optical fiber Fabry-Perot interferometric sensor in the wavelength range of 1530-1560nm takes 100 microstress as a period, and the period of continuously applying 5000 microstress is changed, and each spectrum curve is plotted with 5 as a period;
FIG. 5 is a schematic view of a reflection spectrum of an optical fiber Fabry-Perot interferometric sensor accessed by an ultra-high frequency response optical fiber spectrometer based on spectrum reconstruction, visualized by the data display module of the invention within the range of 1530-1560 nm;
FIG. 6 is a schematic diagram of the mean square error of the actual reflection spectrum of the fiber Fabry-Perot interferometric sensor output by the ultra-high frequency response fiber spectrometer based on spectrum reconstruction in the continuous stress process and the output reflection spectrum of the invention;
fig. 7 is a flowchart of an implementation method of an ultrahigh frequency response fiber spectrometer based on spectrum reconstruction.
Description of the drawings: 1. a spontaneous emission light source; 2. an optical circulator; 3. an optical fiber sensor interface to be tested; 4. athermal multichannel arrayed waveguide grating; 5. a high-speed photodetector array; 6. a driving circuit module; 7. a data processing module; 8. and a data display module.
Detailed Description
It should be noted that, in the case of no conflict, the embodiments and features in the embodiments may be combined with each other. The present application will be described in detail below with reference to the accompanying drawings in conjunction with embodiments.
Example 1
Each spectrum scanning process of the super-frequency response optical fiber spectrometer based on spectrum reconstruction comprises a first scanning process and a second scanning process, wherein the first scanning process obtains the transmission intensity of an optical fiber sensor connected to an optical fiber sensor interface 3 to be detected under each channel of the athermal multichannel array waveguide grating 4, the second scanning process obtains the intensity of each sampling point in a specific wavelength range of the optical fiber sensor by utilizing a neural network model deployed in a data processing module 7, and rapidly reconstructs the reflection spectrum of the optical fiber sensor according to the transmission intensity and maps the reflection spectrum to a data display module 8 to finish high-speed scanning of the reflection spectrum of the optical fiber sensor;
as shown in fig. 1, the optical fiber spectrometer based on the ultra-high frequency response of the spectral reconstruction comprises: the device comprises a spontaneous radiation light source 1, a light circulator 2, an optical fiber sensor interface 3 to be tested, a athermal multichannel array waveguide grating 4, a high-speed photoelectric detector array 5, a driving circuit module 6, a data processing module 7 and a data display module 8.
The self-radiating light source 1 is connected with the input end of the optical circulator 2, and the self-radiating light source 1 is used for outputting broadband laser with a specified wave band in the first scanning process;
the optical fiber sensor interface 3 to be tested is used for connecting a specified optical fiber sensor;
the input and output ends of the optical circulator 2 are connected with the optical fiber sensor interface 3 to be tested, the output end of the optical circulator 2 is connected with the input end of the athermal multi-channel array waveguide grating 4, and the optical circulator 3 is used for inputting broadband light output by the spontaneous emission light source 1 in the first scanning process to an optical fiber sensor connected with the optical fiber sensor interface 3 so as to form a reflection spectrum and then inputting the reflection spectrum to the athermal multi-channel array waveguide grating 4;
the N channel outputs of the athermal multi-channel arrayed waveguide grating 4 are correspondingly connected with the input ends of N high-speed photodetectors in the high-speed photodetector array 5, the athermal multi-channel arrayed waveguide grating 4 is used for demultiplexing the reflected light of the optical fiber sensor connected to the optical fiber sensor interface 3 to be tested into different channels below the athermal multi-channel arrayed waveguide grating, and the high-speed photodetector array 5 converts the optical signals into electric signals to provide a conversion mechanism for converting the reflection spectrum of the optical fiber sensor into transmission intensity in each channel of the athermal multi-channel arrayed waveguide grating 4;
the output end of the high-speed photoelectric detector array 5 is connected with the input end of the data processing module 7, the data processing module 7 receives signals from the high-speed photoelectric detector array 5 and carries out subsequent processing, and a neural network model is deployed on the data processing module 7 and is used for outputting light intensity point by point in a specific wavelength range so as to finish the rapid reconstruction of the reflection spectrum of the optical fiber sensor;
the output end of the driving circuit module 6 is respectively connected with the input pins of the high-speed photoelectric detector array 5 and the data processing module 7 and is used for supplying power to realize corresponding processing functions;
the data display module 8 is connected with the data processing module 7 and is used for visualizing the reflection spectrum of the optical fiber sensor quickly reconstructed by the data processing module 7;
the wavelength range of the output of the spontaneous emission light source 1 corresponds to the wavelength range of the athermal multichannel arrayed waveguide grating 4.
The optical circulator 2 is a 1*2 optical circulator, the input and output ends of the 1*2 optical circulator are connected with the optical fiber sensor interface 3 to be tested, and the output end of the 1*2 optical circulator is connected with the input end of the athermal multichannel arrayed waveguide grating 4.
The athermal multichannel arrayed waveguide grating 4 is provided with no less than forty output channels, and each channel exists independently.
The high-speed photodetector array 5 shares high-speed photodetectors corresponding to the number of output channels of the athermal multichannel arrayed waveguide grating 4, and is used for converting optical signals into electrical signals.
The data processing module 7 is provided with a neural network model, and is used for receiving the transmission intensity of each output channel in the athermal multichannel arrayed waveguide grating 4 in the first scanning process, entering the second scanning process, and completing the high-speed reconstruction of the reflection spectrum of the optical fiber sensor connected to the optical fiber sensor interface 3 to be detected in a specific wavelength range.
The neural network model deployed on the data processing module 7 takes transmission intensity of each output channel in the athermal multichannel arrayed waveguide grating 4 as input, and takes intensity of each sampling point of the optical fiber sensor connected to the optical fiber sensor interface 3 to be tested in a specific wavelength range as output, so that a nonlinear relation between the transmission intensity and the intensity of the sampling point is established.
The ultra-high frequency response optical fiber spectrometer based on spectrum reconstruction provided by the invention utilizes the athermal multichannel array waveguide grating 4 to convert the reflection spectrum of the optical fiber sensor in a specific wavelength range into the transmission intensity in each channel of the array waveguide grating, wherein the photoelectric conversion is realized by the high-speed photoelectric detector array 5. The trained neural network model reads the transmission intensity and outputs the reflection spectrum intensity of the optical fiber sensor in a specific wavelength range so as to complete high-speed reconstruction of the reflection spectrum of the optical fiber sensor and realize the basic function of the optical fiber spectrometer. The system can reach the sampling frequency of MHz level, the overall complexity of the spectrometer is greatly reduced by using a passive and highly-integrated optical device, and the tuning-free structure ensures that the system is highly stable and has good repeatability; in addition, the spectrum reconstruction of a plurality of different optical fiber sensors can be realized, and the method has good applicability; secondly, according to actual needs, the selected channels of the athermal multichannel array waveguide grating 4 can be adjusted to realize the change of the wavelength range scanned by the spectrometer; the optical fiber spectrometer has stable whole system, high performance and cost effectiveness, and is suitable for various actual optical fiber measurement scenes.
Example 2
Based on example 1, as shown in fig. 2, a specific implementation of the optical fiber spectrometer based on ultra-high frequency response of spectrum reconstruction in actual measurement is shown when an optical fiber Fabry-Perot interference sensor is connected to the optical fiber sensor interface 3 to be measured.
The output wave band of the spontaneous radiation spectrum 1 is a C wave band corresponding to the wavelength range of the athermal multichannel array waveguide grating 4, the corresponding wavelength range is 1528-1565nm, the output light intensity is fixed to be 20.0nW, the optical circulator 2 is in a 1*2 optical circulator structure and internally comprises an output end, an input end and an output end, wherein the input end and the output end are connected to the optical fiber sensor interface 3 to be detected of the accessed optical fiber Fabry-Perot interference sensor, and the output end is connected to the athermal multichannel array waveguide grating 4.
Specifically, the fiber Fabry-Perot interference sensor connected to the fiber sensor interface 3 to be measured is a single mode fiber-capillary glass tube-single mode fiber structure (SMF-GT-SMF), wherein the outer diameter of the single mode fiber is 150 micrometers, the inner diameter of the capillary glass tube is 75 micrometers, and the outer diameter is 125 micrometers.
The athermal multi-channel arrayed waveguide grating 4 is 40 channels, the interval between the central wavelengths of each channel is about 0.8nm in 125GHz specification, the full width at half maximum of each channel is 0.456nm, and 9 channels of the athermal multi-channel arrayed waveguide grating 4 are used and all connected to the high-speed photodetector array 5.
The high-speed photodetector array 5 internally contains 100MHz photodetectors corresponding to the number of channels of the athermal multichannel arrayed waveguide grating 4 used.
The optical fiber Fabry-Perot interference sensor connected to the optical fiber sensor interface 3 to be tested is continuously applied with horizontal dynamic stress, and the transmission intensity of the optical fiber Fabry-Perot interference sensor is changed under the channel of the athermal multichannel array waveguide grating 4 due to the interference spectrum displacement, and the optical fiber Fabry-Perot interference sensor is input to the data processing module 7 after being subjected to photoelectric conversion by the high-speed detector array 5 so as to complete the practicality test of the optical fiber spectrometer based on the ultra-high frequency response of spectral reconstruction.
An end-to-end neural network algorithm model is deployed in the data processing module 7, and the end-to-end neural network algorithm model is shown in fig. 3, wherein the neural network algorithm model receives the output from the high-speed photoelectric detector array 5 to complete the high-speed reconstruction of the reflection spectrum of the optical fiber Fabry-Perot interference sensor in a specific wavelength range, and outputs the reflection spectrum to the data display module 8 to complete the visualization of the reflection spectrum, the neural network algorithm model comprises an input layer, seven hidden layers and an output layer, the input layer is nine neurons in total, the seven hidden layers comprise four close-connected layers A and three close-connected layers B, the close-connected layers A comprise 512 neurons, the close-connected layers B comprise 1024 neurons, the output layer is 300 neurons in total, and the corresponding optical fiber Fabry-Perot interference sensor has three hundred sampling point intensities in a range of 1530-1560nm as shown in fig. 4.
The reflection spectrum change (after reconstruction) of the optical fiber Fabry-Perot interference sensor, which is output by the data display module 8 and connected to the optical fiber sensor interface 3 to be tested, in the range of 1530-1560nm is shown in fig. 5, and the actual reflection spectrum change of the optical fiber Fabry-Perot interference sensor from the commercial spectrum analyzer is shown in fig. 6.
Example 3
Referring to fig. 7, each spectrum scanning process of the optical fiber spectrometer includes a first scanning process and a second scanning process, the first scanning process obtains the transmitted light intensity of the optical fiber sensor connected to the optical fiber sensor interface 3 to be measured under each channel of the athermal multi-channel arrayed waveguide grating 4, the second scanning process obtains the intensity of each sampling point in a specific wavelength range of the optical fiber sensor by using a neural network model deployed in the data processing module 7, and rapidly reconstructs the reflection spectrum of the optical fiber sensor according to the intensity to map to the data display module 8, so as to complete the scanning of the reflection spectrum of the optical fiber sensor, and the implementation method of the optical fiber spectrometer based on the ultra-high frequency response of spectrum reconstruction includes:
s110, adjusting the spontaneous emission light source 1 to output broadband laser with a specified wave band to the optical circulator 2;
s120, the optical circulator 2 outputs broadband light to the optical fiber sensor interface 3 to be tested;
s130, outputting reflected light of an optical fiber sensor connected to an optical fiber sensor interface 3 to be tested to the athermal multichannel arrayed waveguide grating 4 by an optical circulator;
s140, demultiplexing the optical fiber sensor reflected light connected to the optical fiber sensor interface 3 to be tested into different channels by the athermal multichannel array waveguide grating 4;
s150, N channel outputs of the athermal multichannel arrayed waveguide grating 4 are correspondingly connected with inputs of N high-speed photodetectors in the high-speed photodetector array 5, and reflection spectrum changes of the optical fiber sensor are converted into transmission intensities in all channels of the athermal multichannel arrayed waveguide grating 4;
s160, a data processing module 7 receives and processes the data from the high-speed photoelectric detector array 5, and high-speed reconstruction of the reflection spectrum of the optical fiber sensor connected to the optical fiber sensor interface to be detected in a specific wavelength range is completed;
s170, the data display module 8 visualizes the reflection spectrum of the optical fiber sensor quickly reconstructed by the data processing module, and the display function of the high-frequency response optical fiber spectrometer is realized.
Compared with the traditional compact optical fiber spectrometer based on the micro-electromechanical system, the invention can simultaneously give consideration to high sampling frequency and high resolution, the sampling frequency can reach the MHz level at the highest, and the invention is based on the spectrum reconstruction technology, does not need to undergo complicated operation and time-consuming point-by-point scanning when performing optical fiber reflection spectrum reconstruction, and has remarkable advantages in the aspects of speed and overall complexity. In addition, the invention has strong applicability and expansibility, so that the function of the invention can be expanded to different types of optical fiber sensors, and the scanning wavelength range can be freely adjusted according to actual requirements.
The athermal multichannel array waveguide grating is used for decomposing and multiplexing reflected light waves of an optical fiber sensor connected to the interface of the optical fiber sensor to be detected into N channels below the athermal multichannel array waveguide grating, and converting the reflection spectrum change of the optical fiber sensor in a specific wavelength range into the transmission intensity of the optical fiber sensor under the N channels of the athermal multichannel array waveguide grating, wherein the transmission intensity is defined as the effective area of the overlapping part of the reflection spectrum of the optical fiber sensor and the reflection spectrum of the athermal multichannel array waveguide grating.
The data processing module is provided with a trained end-to-end neural network algorithm model, the input end of the neural network model is the transmission intensity under the athermal multi-pain array waveguide grating channel, the output end of the neural network model is the intensity of sampling points of the optical fiber sensor connected to the interface of the optical fiber sensor to be tested in a specific wavelength range, and then the reflection spectrum of the optical fiber sensor is quickly rebuilt and visualized according to the sampling points.
The neural network model has good generalization capability, supports transfer learning and retraining, so as to obtain more excellent performance and has rich expansibility.
The invention uses athermal multichannel array waveguide grating to decompose and multiplex the reflected light waves from the optical fiber sensor to different channels, converts the peak value of the reflection spectrum change of the optical fiber sensor in a specific wavelength range into the transmission intensity change in the athermal multichannel array waveguide grating channel, uses a high-speed photoelectric detector array to realize the conversion from optical signals to electric signals, and is effectively combined with a neural network model, thereby avoiding the use of an expensive optical fiber spectrometer with complicated data processing in practical engineering application. In addition, compared with a compact optical fiber spectrometer based on a micro-electromechanical system, the optical fiber spectrometer can realize high frequency, high stability, low cost and strong applicability, and can realize integration and miniaturization of the optical fiber spectrometer.
The foregoing is merely a preferred embodiment of the present application, but the scope of the present application is not limited thereto, and any changes or substitutions easily conceivable by those skilled in the art within the technical scope of the present application should be covered in the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.
Claims (9)
1. An ultrahigh frequency response fiber spectrometer based on spectrum reconstruction, which is characterized by comprising: the device comprises a spontaneous radiation light source (1), an optical circulator (2), an optical fiber sensor interface (3) to be tested, a athermal multichannel array waveguide grating (4), a high-speed photoelectric detector array (5), a driving circuit module (6), a data processing module (7) and a data display module (8);
the self-radiating light source (1) is connected with the input end of the optical circulator (2); the input and output ends of the optical circulator (2) are connected with the optical fiber sensor interface (3) to be tested; the output end of the optical circulator (2) is connected with the input end of the athermal multichannel arrayed waveguide grating (4); the N channel output ends of the athermal multichannel arrayed waveguide grating (4) are correspondingly connected with the input ends of N high-speed photodetectors in the high-speed photodetector array (5); the output end of the driving circuit module (6) is respectively connected with the input pins of the high-speed photoelectric detector array (5) and the data processing module (7); the output end of the high-speed photoelectric detector array (5) is connected with the input end of the data processing module (7); the data display module (8) is connected with the data processing module (7);
the self-emission light source (1) is used for outputting broadband laser with a specified wave band in the first scanning process;
the optical circulator (2) is used for inputting broadband laser output by the spontaneous emission light source (1) in the first scanning process to an optical fiber sensor connected to the optical fiber sensor interface (3) to be detected, forming a reflection spectrum and inputting the reflection spectrum to the athermal multichannel arrayed waveguide grating (4);
the optical fiber sensor interface (3) to be tested is used for connecting a specified optical fiber sensor;
the athermal multichannel array waveguide grating (4) is used for demultiplexing reflected light of an optical fiber sensor connected to the optical fiber sensor interface (3) to be tested into different channels;
the high-speed photoelectric detector array (5) is used for converting optical signals into electric signals and providing a conversion mechanism for converting the reflection spectrum of the optical fiber sensor into transmission intensities in various channels of the athermal multichannel arrayed waveguide grating (4);
the driving circuit module (6) is used for supplying power to the high-speed photoelectric detector array (5) and the data processing module (7) so as to realize corresponding functions;
the data processing module (7) receives signals from the high-speed photoelectric detector array (5) and carries out subsequent processing, and a neural network model is deployed on the data processing module (7) and is used for outputting light intensity point by point in a specific wavelength range so as to finish high-speed reconstruction of a reflection spectrum of the optical fiber sensor;
the data display module (8) is used for visualizing the reflection spectrum of the optical fiber sensor reconstructed at high speed by the data processing module (7).
2. The ultra-high frequency response fiber spectrometer based on spectral reconstruction according to claim 1, characterized in that the wavelength range of the spontaneous emission light source (1) output corresponds to the wavelength range of the athermal multichannel arrayed waveguide grating (4).
3. The ultra-high frequency response optical fiber spectrometer based on spectrum reconstruction according to claim 1, wherein the optical circulator (2) is a 1*2 optical circulator, the input and output ends of the 1*2 optical circulator are connected with the optical fiber sensor interface (3) to be tested, and the output end of the 1*2 optical circulator is connected with the input end of the athermal multichannel arrayed waveguide grating (4).
4. The ultra-high frequency response fiber spectrometer based on spectral reconstruction according to claim 1, wherein there are no less than forty output channels on the athermal multi-channel arrayed waveguide grating (4), each channel being independent.
5. The ultra-high frequency response fiber spectrometer based on spectral reconstruction according to claim 1, wherein the high-speed photodetector array (5) has high-speed photodetectors corresponding to the number of output channels of the athermal multichannel arrayed waveguide grating (4) for converting optical signals into electrical signals.
6. The ultra-high frequency response fiber optic spectrometer based on spectral reconstruction of claim 1 wherein the spectral scanning process of the fiber optic spectrometer comprises a first scanning process and a second scanning process, the first scanning process being: obtaining the transmitted light intensity of an optical fiber sensor connected to an optical fiber sensor interface (3) to be tested under each channel of the athermal multichannel array waveguide grating (4); the second scanning process is as follows: and obtaining the intensity of each sampling point in a specific wavelength range of the optical fiber sensor by using a neural network model arranged in the data processing module (7), reconstructing the reflection spectrum of the optical fiber sensor according to the intensity so as to map the reflection spectrum to the data display module (8), and completing high-speed scanning of the reflection spectrum of the optical fiber sensor.
7. The ultra-high frequency response optical fiber spectrometer based on spectrum reconstruction according to claim 6, wherein the data processing module (7) deploys a neural network model, and is configured to receive the transmission intensity of each output channel in the athermal multichannel arrayed waveguide grating (4) during the first scanning process, and then enter the second scanning process to complete high-speed reconstruction of the reflection spectrum of the optical fiber sensor connected to the optical fiber sensor interface (3) to be measured in a specific wavelength range.
8. The ultra-high frequency response optical fiber spectrometer based on spectrum reconstruction according to claim 6, wherein the neural network model deployed by the data processing module (7) takes transmission intensity of each output channel in the athermal multichannel arrayed waveguide grating (4) as input, and takes intensity of each sampling point of an optical fiber sensor connected to the optical fiber sensor interface (3) to be measured in a specific wavelength range as output, so as to establish a nonlinear relationship between the transmission intensity and the intensity of the sampling point.
9. The method for implementing an ultrahigh frequency response optical fiber spectrometer based on spectrum reconstruction according to any one of claims 1-8, comprising the following steps:
s110: the self-emission light source (1) is adjusted to output broadband laser with a specified wave band to the optical circulator (2);
s120: the optical circulator (2) outputs broadband light to the optical fiber sensor interface (3) to be tested;
s130: reflected light of an optical fiber sensor connected to an optical fiber sensor interface (3) to be tested is output to a athermal multichannel arrayed waveguide grating (4) by an optical circulator (2);
s140: the athermal multichannel array waveguide grating (4) demultiplexes the optical fiber sensor reflected light connected to the optical fiber sensor interface (3) to be tested into different channels;
s150: the method comprises the steps that N channel outputs of a athermal multichannel array waveguide grating (4) are correspondingly connected with inputs of N high-speed photodetectors in a high-speed photodetector array (5), and reflection spectrum changes of an optical fiber sensor are converted into transmission intensities in all channels of the athermal multichannel array waveguide grating (4);
s160: the data processing module (7) receives and processes the data from the high-speed photoelectric detector array (5) to finish high-speed reconstruction of the reflection spectrum of the optical fiber sensor connected to the optical fiber sensor interface (3) to be tested in a specific wavelength range;
s170: the data display module (8) visualizes the reflection spectrum of the optical fiber sensor quickly reconstructed by the data processing module (7) so as to realize the display function of the optical fiber spectrometer.
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CN114877923A (en) * | 2022-04-24 | 2022-08-09 | 海南大学 | Fabry-Perot interferometric sensor demodulation system and method based on array waveguide grating and neural network algorithm |
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CN114877923A (en) * | 2022-04-24 | 2022-08-09 | 海南大学 | Fabry-Perot interferometric sensor demodulation system and method based on array waveguide grating and neural network algorithm |
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