Multi-parameter dynamic monitoring system and method based on fiber bragg grating

Abstract

The invention relates to the technical field of multi-parameter dynamic monitoring, in particular to a multi-parameter dynamic monitoring system and method based on a fiber bragg grating. Comprising a light source modulation module, an optical signal amplification and distribution module, a dense fiber grating array module, a phase sensitive interferometer enhancement module, an intelligent demodulation algorithm processing module, a multi-dimensional parameter fusion analysis module, a data acquisition and storage module and a system control remote monitoring module. The light source modulation module is used for providing a tunable scanning laser and a semiconductor electro-optical modulator; simultaneous measurement of multiple parameters is achieved through the fiber bragg grating, multiple independent sensors are not needed, the complexity and cost of the system are greatly reduced, the fiber bragg grating is small in size and light in weight, can be flexibly arranged in a monitoring area and is particularly suitable for occasions with limited space, and due to the fact that reflection spectrums of the fiber bragg grating are obtained at the same time, the measurement accuracy is high. Therefore, data among different parameters are synchronous, and the accuracy of a monitoring result is improved.

Description

Technical Field

[0001] The invention relates to the technical field of multi-parameter dynamic monitoring, in particular to a multi-parameter dynamic monitoring system and method based on optical fiber grating. Background Art

[0002] Fiber Bragg grating is a special fiber structure that makes the fiber reflect light of a specific wavelength by writing a periodic grating structure inside the fiber. This reflection characteristic makes fiber Bragg grating an excellent optical sensor that can sense changes in external physical quantities such as temperature, strain and vibration. Multi-parameter refers to multiple physical quantities that need to be measured simultaneously during the monitoring process.

[0003] However, in general, traditional multi-parameter dynamic monitoring methods usually use multiple independent sensors to measure different physical quantities respectively. For example, thermocouples are used to measure temperature, strain gauges are used to measure strain, and accelerometers are used to measure vibration. Although these methods can achieve multi-parameter measurement, the system complexity is high and multiple sensors and corresponding data acquisition systems are required, which increases the complexity and cost of the system. Multiple sensors need to be arranged in the monitoring area, occupying a large space, which is not suitable for some space-constrained occasions. There may be time delays in data acquisition and transmission between different sensors, resulting in poor data synchronization, affecting the accuracy of the monitoring results. In addition to the high system complexity, large space occupancy and poor synchronization mentioned above, traditional methods may also have interference problems between sensors. When multiple sensors work at the same time, they may interfere with each other, affecting the accuracy of the measurement results. In addition, the stability and reliability of traditional sensors in harsh environments may also be affected.

[0004] In summary, it is necessary to propose a multi-parameter dynamic monitoring system and method based on fiber grating to solve the above problems. Summary of the invention

[0005] The purpose of the present invention is to provide a multi-parameter dynamic monitoring system and method based on fiber grating to solve the problems raised in the above background technology.

[0006] To achieve the above object, the present invention provides the following technical solutions:

[0007] The multi-parameter dynamic monitoring system based on fiber Bragg grating includes a light source modulation module, an optical signal amplification and distribution module, a dense fiber Bragg grating array module, a phase-sensitive interferometer enhancement module, an intelligent demodulation algorithm processing module, a multi-dimensional parameter fusion analysis module, a data acquisition and storage module, and a system control remote monitoring module;

[0008] The light source modulation module is used to provide a tunable scanning laser and a semiconductor electro-optic modulator;

[0009] The optical signal amplification and distribution module is used for erbium-doped optical fiber amplification and optical distribution;

[0010] The dense fiber grating array module is used to deploy a dense ultra-weak fiber grating array;

[0011] The phase sensitive interferometer enhancement module is used for phase sensitive interference and phase compensation;

[0012] The intelligent demodulation algorithm processing module is used for the application of intelligent demodulation and adaptive filtering algorithms;

[0013] The multi-dimensional parameter fusion analysis module is used for multi-parameter fusion and provides a visual analysis interface;

[0014] The data acquisition and storage module is used for high-precision data acquisition and large-capacity data storage;

[0015] The system control remote monitoring module is used for system control and building a remote monitoring terminal.

[0016] Preferably, the light source modulation module further comprises a tunable scanning laser and a semiconductor electro-optic modulator;

[0017] The tunable scanning laser is used to excite the fiber grating and obtain its reflection spectrum through a wavelength scanning algorithm;

[0018] The semiconductor electro-optic modulator uses electro-optic modulation technology combined with a pulse code modulation algorithm to quickly modulate laser output and improve system response speed.

[0019] Preferably, the optical signal amplification and distribution module further includes an erbium-doped fiber amplification unit and an optical distribution unit;

[0020] The erbium-doped fiber amplifier unit adopts an erbium-doped fiber amplifier algorithm to enhance the intensity of the optical signal and ensure transmission stability;

[0021] The optical distribution unit utilizes an optical power distribution algorithm to efficiently distribute the amplified optical signal to a plurality of optical fiber gratings.

[0022] Preferably, the dense fiber grating array module further comprises a dense ultra-weak fiber grating array unit;

[0023] The dense ultra-weak fiber grating array unit deploys densely arranged ultra-weak fiber gratings, combined with wavelength division multiplexing (WDM) and time division multiplexing (TDM) algorithms, to achieve multi-parameter high-precision perception.

[0024] Preferably, the phase-sensitive interferometer enhancement module further comprises a phase-sensitive interference unit and a phase compensation unit;

[0025] The phase-sensitive interference unit is combined with the Fizeau interference principle phase-sensitive detection algorithm to significantly enhance the detection capability of tiny vibration signals;

[0026] The phase compensation unit uses an adaptive phase compensation algorithm to automatically correct the phase drift caused by environmental changes to ensure the accuracy of vibration measurement.

[0027] Preferably, the intelligent demodulation algorithm processing module further includes an intelligent demodulation unit and an adaptive filtering unit;

[0028] The intelligent demodulation unit integrates a fast Fourier transform (FFT) algorithm and a correlation demodulation algorithm to quickly demodulate the fiber grating reflection spectrum and extract multi-parameter information;

[0029] The adaptive filtering unit applies a minimum mean square error (LMS) adaptive filtering algorithm to effectively eliminate background noise and light source fluctuations and improve the signal-to-noise ratio.

[0030] Preferably, the multi-dimensional parameter fusion analysis module further includes a multi-parameter fusion unit and a visual analysis interface unit;

[0031] The multi-parameter fusion unit utilizes a convolutional neural network to fuse and analyze multi-dimensional parameters of temperature, strain, and vibration to achieve comprehensive monitoring and fault warning;

[0032] The visual analysis interface unit provides a tool based on the D3.js data visualization library to display monitoring results in real time, which is convenient for users to quickly understand.

[0033] Preferably, the data acquisition and storage module further comprises a high-precision data acquisition unit and a large-capacity data storage unit;

[0034] The high-precision data acquisition unit adopts a high-speed sampling algorithm and a data compression algorithm to synchronously acquire multi-channel data, ensure data integrity and reduce storage space occupation;

[0035] The large-capacity data storage unit uses the Hadoop HDFS distributed storage system and data indexing algorithm to achieve real-time storage and convenient query of large-capacity data.

[0036] Preferably, the system control remote monitoring module further includes a system control unit and a remote monitoring terminal;

[0037] The system control unit integrates automatic control logic and fuzzy control algorithm to realize remote monitoring of system automatic operation and improve system stability and response speed;

[0038] The remote monitoring terminal provides an access function based on the MQTT remote communication protocol, supporting users to remotely monitor system status data through mobile devices or computers.

[0039] Based on the above system, the present invention also provides a multi-parameter dynamic monitoring method based on fiber grating, comprising the following steps:

[0040] S1. Provide tunable scanning laser, excite the fiber Bragg grating through wavelength scanning algorithm, and obtain its reflection spectrum;

[0041] S2. Use electro-optic modulation technology combined with pulse code modulation algorithm to quickly modulate laser output to improve system response speed;

[0042] S3. Perform erbium-doped fiber amplification on the modulated optical signal to enhance the optical signal strength and ensure stability during transmission;

[0043] S4. Through the optical power allocation algorithm, the amplified optical signal is efficiently distributed to multiple fiber Bragg gratings to achieve multi-point optical signal perception;

[0044] S5. In fiber Bragg grating, wavelength division multiplexing and time division multiplexing algorithms are used to achieve high-precision sensing of multiple parameters, including temperature, strain and vibration;

[0045] S6. Combining the Fizeau interferometer principle with the phase-sensitive detection algorithm, the detection capability of tiny vibration signals is significantly enhanced. The phase drift caused by environmental changes is automatically corrected through the adaptive phase compensation algorithm to ensure the accuracy of vibration measurement.

[0046] S7. Use fast Fourier transform algorithm and correlation demodulation algorithm to quickly demodulate the reflection spectrum of the fiber Bragg grating and extract multi-parameter information;

[0047] S8. Apply the minimum mean square error adaptive filtering algorithm to effectively eliminate background noise and light source fluctuations, and further improve the signal-to-noise ratio;

[0048] S9. Use convolutional neural networks to perform fusion analysis on multi-dimensional parameters of temperature, strain, and vibration to achieve comprehensive monitoring and fault warning, and display the monitoring results in real time through the data visualization library;

[0049] S10. Use high-speed sampling algorithms and data compression algorithms to synchronously collect multi-channel data to ensure data integrity, and use distributed storage systems and data indexing algorithms to achieve real-time storage and convenient query of large-capacity data;

[0050] S11. Integrate automatic control logic and fuzzy control algorithm to realize automatic operation and remote monitoring of the system, and improve the stability and response speed of the system;

[0051] S12. Provide access functions based on remote communication protocols, supporting users to remotely monitor the status and data of the system through mobile devices or computers.

[0052] Compared with the prior art, the beneficial effects of the present invention are as follows: the present invention realizes the simultaneous measurement of multiple parameters through fiber Bragg grating, without the need for multiple independent sensors, greatly reducing the complexity and cost of the system; the fiber Bragg grating is small in size and light in weight, can be flexibly arranged in the monitoring area, and is particularly suitable for occasions with limited space; since the reflection spectrum of the fiber Bragg grating is obtained simultaneously, the data between different parameters are synchronized, which improves the accuracy of the monitoring results; the fiber Bragg grating sensor is not affected by electromagnetic interference and can work stably in harsh environments; through optimization algorithms and interferometer enhancement technology, the system's detection capability of tiny vibration signals has been significantly improved; the system supports remote monitoring and data visualization functions, and users can view the monitoring results anytime and anywhere through mobile devices or computers. BRIEF DESCRIPTION OF THE DRAWINGS

[0053] Figure 1 It is a topological diagram of the multi-parameter dynamic monitoring system based on fiber grating of the present invention;

[0054] Figure 2 This is a flow chart of the multi-parameter dynamic monitoring method based on fiber grating of the present invention. DETAILED DESCRIPTION

[0055] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0056] Example 1

[0057] See also Figure 1 The present invention proposes a multi-parameter dynamic monitoring system based on fiber Bragg grating, which includes a light source modulation module, an optical signal amplification and distribution module, a dense fiber Bragg grating array module, a phase sensitive interferometer enhancement module, an intelligent demodulation algorithm processing module, a multi-dimensional parameter fusion analysis module, a data acquisition and storage module, and a system control remote monitoring module;

[0058] Among them, it should be noted that the light source modulation module of the system is used to provide tunable scanning lasers and semiconductor electro-optical modulators, the optical signal amplification and distribution module of the system is used for erbium-doped fiber amplification and light distribution, the dense fiber grating array module of the system is used to deploy dense ultra-weak fiber grating arrays, the phase-sensitive interferometer enhancement module of the system is used for phase-sensitive interference and phase compensation, the intelligent demodulation algorithm processing module of the system is used for the application of intelligent demodulation and adaptive filtering algorithms, the multi-dimensional parameter fusion analysis module of the system is used for multi-parameter fusion and provides a visual analysis interface, the data acquisition and storage module of the system is used for high-precision data acquisition and large-capacity data storage, and the system control and remote monitoring module of the system is used for system control and construction of remote monitoring terminals.

[0059] In this embodiment, it should also be noted that the light source modulation module of the system also includes a tunable scanning laser and a semiconductor electro-optic modulator. The tunable scanning laser is used to excite the fiber grating and obtain its reflection spectrum through a wavelength scanning algorithm. The semiconductor electro-optic modulator uses electro-optic modulation technology combined with a pulse code modulation algorithm to quickly modulate the laser output and improve the system response speed.

[0060] In this embodiment, it should also be noted that the optical signal amplification and distribution module of the system also includes an erbium-doped fiber amplifier unit and an optical distribution unit. The erbium-doped fiber amplifier unit adopts an erbium-doped fiber amplification algorithm to enhance the optical signal strength and ensure transmission stability. The optical distribution unit uses an optical power distribution algorithm to efficiently distribute the amplified optical signal to multiple fiber gratings.

[0061] In this embodiment, it should also be noted that the dense fiber grating array module of the system also includes a dense ultra-weak fiber grating array unit. The dense ultra-weak fiber grating array unit deploys densely arranged ultra-weak fiber gratings, combined with wavelength division multiplexing (WDM) and time division multiplexing (TDM) algorithms, to achieve multi-parameter high-precision perception.

[0062] In this embodiment, it should also be noted that the phase-sensitive interferometer enhancement module of the system also includes a phase-sensitive interference unit and a phase compensation unit. The phase-sensitive interference unit combines the Fizeau interference principle phase-sensitive detection algorithm to significantly enhance the detection capability of tiny vibration signals. The phase compensation unit uses an adaptive phase compensation algorithm to automatically correct the phase drift caused by environmental changes to ensure the accuracy of vibration measurement.

[0063] In this embodiment, it should also be noted that the intelligent demodulation algorithm processing module of the system also includes an intelligent demodulation unit and an adaptive filtering unit. The intelligent demodulation unit integrates a fast Fourier transform (FFT) algorithm and a related demodulation algorithm for rapidly demodulating the fiber grating reflection spectrum and extracting multi-parameter information. The adaptive filtering unit applies a minimum mean square error (LMS) adaptive filtering algorithm to effectively eliminate background noise and light source fluctuations and improve the signal-to-noise ratio.

[0064] In this embodiment, it should also be noted that the multi-dimensional parameter fusion analysis module of the system also includes a multi-parameter fusion unit and a visual analysis interface unit. The multi-parameter fusion unit uses a convolutional neural network to fuse and analyze multi-dimensional parameters of temperature, strain, and vibration to achieve comprehensive monitoring and fault warning. The visual analysis interface unit provides a tool based on the D3.js data visualization library to display the monitoring results in real time, which is convenient for users to quickly understand.

[0065] In this embodiment, it should also be noted that the data acquisition and storage module of the system also includes a high-precision data acquisition unit and a large-capacity data storage unit. The high-precision data acquisition unit adopts a high-speed sampling algorithm and a data compression algorithm to synchronously collect multi-channel data, ensure data integrity and reduce storage space occupancy, and the large-capacity data storage unit uses the Hadoop HDFS distributed storage system and data indexing algorithm to achieve real-time storage and convenient query of large-capacity data.

[0066] In this embodiment, it should also be noted that the system control remote monitoring module of the system also includes a system control unit and a remote monitoring terminal. The system control unit integrates automatic control logic and fuzzy control algorithm to realize remote monitoring of system automatic operation and improve system stability and response speed. The remote monitoring terminal provides access function based on MQTT remote communication protocol, supporting users to remotely monitor system status data through mobile devices or computers.

[0067] Example 2

[0068] See also Figure 2 Based on the above system, the present invention also provides a multi-parameter dynamic monitoring method based on fiber grating, which specifically includes the following steps:

[0069] S1. Provide tunable scanning laser, excite the fiber Bragg grating through wavelength scanning algorithm, and obtain its reflection spectrum;

[0070] S2. Use electro-optic modulation technology combined with pulse code modulation algorithm to quickly modulate laser output to improve system response speed;

[0071] S3. Perform erbium-doped fiber amplification on the modulated optical signal to enhance the optical signal strength and ensure stability during transmission;

[0072] S4. Through the optical power allocation algorithm, the amplified optical signal is efficiently distributed to multiple fiber Bragg gratings to achieve multi-point optical signal perception;

[0073] S5. In fiber Bragg grating, wavelength division multiplexing and time division multiplexing algorithms are used to achieve high-precision sensing of multiple parameters, including temperature, strain and vibration;

[0074] S6. Combining the Fizeau interferometer principle with the phase-sensitive detection algorithm, the detection capability of tiny vibration signals is significantly enhanced. The phase drift caused by environmental changes is automatically corrected through the adaptive phase compensation algorithm to ensure the accuracy of vibration measurement.

[0075] S7. Use fast Fourier transform algorithm and correlation demodulation algorithm to quickly demodulate the reflection spectrum of the fiber Bragg grating and extract multi-parameter information;

[0076] S8. Apply the minimum mean square error adaptive filtering algorithm to effectively eliminate background noise and light source fluctuations, and further improve the signal-to-noise ratio;

[0077] S9. Use convolutional neural networks to perform fusion analysis on multi-dimensional parameters of temperature, strain, and vibration to achieve comprehensive monitoring and fault warning, and display the monitoring results in real time through the data visualization library;

[0078] S10. Use high-speed sampling algorithms and data compression algorithms to synchronously collect multi-channel data to ensure data integrity, and use distributed storage systems and data indexing algorithms to achieve real-time storage and convenient query of large-capacity data;

[0079] S11. Integrate automatic control logic and fuzzy control algorithm to realize automatic operation and remote monitoring of the system, and improve the stability and response speed of the system;

[0080] S12. Provide access functions based on remote communication protocols, supporting users to remotely monitor the status and data of the system through mobile devices or computers.

[0081] Example 3

[0082] In practical applications, the above-mentioned multi-parameter dynamic monitoring method based on fiber Bragg grating has the following application process:

[0083] 1. Optical signal generation and preprocessing

[0084] Optical signal generation

[0085] First, a tunable scanning laser is used to provide a stable laser source. The wavelength change of the laser is precisely controlled through a wavelength scanning algorithm to excite the fiber Bragg grating and obtain its reflection spectrum, as shown in formula (1).

[0086] λ(t)=λ0+Δλ·sin(ωt) (1);

[0087] In the formula, λ(t) is the wavelength that changes with time, λ0 is the initial wavelength, Δλ is the wavelength change range, and ω is the scanning frequency. The algorithm changes the wavelength in the form of a sine wave to achieve a more uniform spectral scan;

[0088] Optical signal modulation, amplification and distribution

[0089] The laser is rapidly modulated using electro-optic modulation technology combined with a pulse code modulation algorithm. The modulated optical signal is amplified by an erbium-doped fiber amplifier to enhance the intensity of the optical signal. The amplified optical signal is efficiently distributed to multiple fiber gratings using an optical power allocation algorithm, as shown in formula (2).

[0090] E out (t) = E in (t)·exp(jφ(t)) (2);

[0091] In the formula, E out (t) is the modulated light field, E in (t) is the input light field, φ(t) is the modulation phase, and the algorithm achieves more efficient optical signal modulation by optimizing the modulation phase;

[0092] 2. Multi-parameter Perception and Signal Processing

[0093] Multi-parameter perception

[0094] In fiber Bragg gratings, wavelength division multiplexing (WDM) and time division multiplexing (TDM) algorithms are used to achieve high-precision sensing of multiple parameters, including temperature, strain, and vibration;

[0095] WDM optimization: Reduce crosstalk between wavelengths by precisely controlling the allocation of different wavelengths;

[0096] TDM optimization: improve time utilization by optimizing the allocation of time slots;

[0097] Signal Processing

[0098] Combining the Fizeau interferometer principle with the phase-sensitive detection algorithm, the detection capability of tiny vibration signals is enhanced. The phase drift caused by environmental changes is corrected by the adaptive phase compensation algorithm. The fast Fourier transform algorithm (FFT) and the correlation demodulation algorithm are used to quickly demodulate the reflection spectrum of the fiber Bragg grating to extract multi-parameter information. The minimum mean square error adaptive filtering algorithm is used to eliminate background noise and light source fluctuations, as shown in formula (3).

[0099] Δφ=(4πnL / λ)Δd (3);

[0100] Where Δφ is the phase change, n is the refractive index of the fiber, L is the fiber length, λ is the wavelength of light, and Δd is the displacement change. This algorithm achieves more accurate measurement of tiny vibrations by optimizing the phase detection sensitivity.

[0101] 3. Data Fusion, Storage and Remote Monitoring

[0102] Data fusion and analysis

[0103] Convolutional neural network (CNN) is used to integrate and analyze multi-dimensional parameters such as temperature, strain, and vibration to achieve comprehensive monitoring and fault warning. The monitoring results are displayed in real time through the data visualization library, as shown in formula (4);

[0104] y=f(W·x+b) (4);

[0105] In the formula, y is the output, W is the weight matrix, x is the input, and b is the bias. The algorithm improves the fusion analysis performance of CNN by optimizing weights and biases.

[0106] Data storage and management

[0107] High-speed sampling algorithm and data compression algorithm are used to synchronously collect multi-channel data to ensure data integrity, and distributed storage system and data index algorithm are used to achieve real-time storage and convenient query of large-capacity data, see formula (5);

[0108] R=D compressed / D original (5);

[0109] Where R is the compression ratio, D compressed is the amount of compressed data, D original is the amount of original data. The algorithm reduces the storage space occupied by optimizing the compression ratio;

[0110] Remote monitoring and management

[0111] The integrated automation control logic and fuzzy control algorithm realize the automatic operation and remote monitoring of the system, provide access functions based on remote communication protocols, and support users to remotely monitor the status and data of the system through mobile devices or computers.

[0112] In summary, the present invention has a high degree of integration and realizes simultaneous measurement of multiple parameters through fiber Bragg gratings. There is no need for multiple independent sensors, which greatly reduces the complexity and cost of the system. The fiber Bragg gratings are small in size and light in weight, and can be flexibly arranged in the monitoring area. They are particularly suitable for occasions with limited space. Since the reflection spectrum of the fiber Bragg gratings is obtained at the same time, the data between different parameters are synchronized, which improves the accuracy of the monitoring results. The fiber Bragg grating sensor is not affected by electromagnetic interference and can work stably in harsh environments. Through optimization algorithms and interferometer enhancement technology, the system's detection ability for tiny vibration signals has been significantly improved. The system supports remote monitoring and data visualization functions, and users can view monitoring results anytime and anywhere through mobile devices or computers.

[0113] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A multi-parameter dynamic monitoring system based on fiber Bragg grating, characterized in that: It includes a light source modulation module, an optical signal amplification and distribution module, a dense fiber grating array module, a phase-sensitive interferometer enhancement module, an intelligent demodulation algorithm processing module, a multi-dimensional parameter fusion analysis module, a data acquisition storage module, and a system control remote monitoring module; the light source modulation module is used to provide a tunable scanning laser and a semiconductor electro-optical modulator; the optical signal amplification and distribution module is used for erbium-doped fiber amplification and light distribution; the dense fiber grating array module is used to deploy a dense ultra-weak fiber grating array; the phase-sensitive interferometer enhancement module is used for phase-sensitive interference and phase compensation; the intelligent demodulation algorithm processing module is used for the application of intelligent demodulation and adaptive filtering algorithms; The multi-dimensional parameter fusion analysis module is used for multi-parameter fusion and provides a visual analysis interface; the data acquisition and storage module is used for high-precision data acquisition and large-capacity data storage; The system control remote monitoring module is used for system control and building a remote monitoring terminal.

2. The multi-parameter dynamic monitoring system based on fiber Bragg grating according to claim 1 is characterized in that: The tunable scanning laser is used to excite the fiber grating and obtain its reflection spectrum through a wavelength scanning algorithm, and the semiconductor electro-optic modulator uses electro-optic modulation technology combined with a pulse code modulation algorithm to quickly modulate the laser output and improve the system response speed.

3. The multi-parameter dynamic monitoring system based on fiber Bragg grating according to claim 1 is characterized in that: The erbium-doped fiber amplifier unit adopts an erbium-doped fiber amplifier algorithm to enhance the optical signal strength and ensure transmission stability. The optical distribution unit uses an optical power distribution algorithm to efficiently distribute the amplified optical signal to multiple fiber gratings.

4. The multi-parameter dynamic monitoring system based on fiber Bragg grating according to claim 1 is characterized in that: The dense ultra-weak fiber grating array unit deploys densely arranged ultra-weak fiber gratings, combined with wavelength division multiplexing (WDM) and time division multiplexing (TDM) algorithms, to achieve multi-parameter high-precision perception.

5. The multi-parameter dynamic monitoring system based on fiber Bragg grating according to claim 1 is characterized in that: The phase-sensitive interference unit combines the phase-sensitive detection algorithm based on the Fizeau interference principle to significantly enhance the detection capability of tiny vibration signals. The phase compensation unit uses an adaptive phase compensation algorithm to automatically correct the phase drift caused by environmental changes to ensure the accuracy of vibration measurement.

6. The multi-parameter dynamic monitoring system based on fiber Bragg grating according to claim 1, characterized in that: The intelligent demodulation unit integrates a fast Fourier transform (FFT) algorithm and a correlation demodulation algorithm to quickly demodulate the fiber grating reflection spectrum and extract multi-parameter information. The adaptive filtering unit applies a minimum mean square error (LMS) adaptive filtering algorithm to effectively eliminate background noise and light source fluctuations and improve the signal-to-noise ratio.

7. The multi-parameter dynamic monitoring system based on fiber Bragg grating according to claim 1, characterized in that: The multi-parameter fusion unit utilizes a convolutional neural network to fuse and analyze multi-dimensional parameters of temperature, strain, and vibration to achieve comprehensive monitoring of fault warnings. The visual analysis interface unit provides a tool based on the D3.js data visualization library to display monitoring results in real time, making it easy for users to quickly understand.

8. The multi-parameter dynamic monitoring system based on fiber Bragg grating according to claim 1, characterized in that: The high-precision data acquisition unit adopts a high-speed sampling algorithm and a data compression algorithm to synchronously collect multi-channel data, ensure data integrity and reduce storage space occupancy. The large-capacity data storage unit uses the Hadoop HDFS distributed storage system and a data indexing algorithm to achieve real-time storage and convenient query of large-capacity data.

9. The multi-parameter dynamic monitoring system based on fiber Bragg grating according to claim 1, characterized in that: The system control unit integrates automatic control logic and fuzzy control algorithm to realize remote monitoring of system automatic operation and improve system stability and response speed. The remote monitoring terminal provides access function based on MQTT remote communication protocol, supporting users to remotely monitor system status data through mobile devices or computers.

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