112 results about "Wavelength shift" patented technology

The invention discloses a temperature control and noise reduction method for an analog optical module, and relates to the technical field of data processing. The method comprises the following steps: collecting and preprocessing an original temperature signal, environment temperature time sequence data and an optical wavelength original detection value of an optical module; improving the LSTM model, constructing a junction temperature dynamic prediction model, and outputting prediction data; a pre-trained BP neural network is utilized to calculate the temperature compensation amount according to the real-time wavelength offset, and a PPO reinforcement learning algorithm is adopted to optimize with the temperature stability, the wavelength offset and the TEC power consumption as multiple targets to obtain an optimal PID parameter mapping table; and finally, predicting, compensating and optimizing parameters are fused, and control output for driving the TEC is generated through a multi-mode intelligent decision. The problems of insufficient control precision and response lag are effectively solved, cooperative high-precision control over the junction temperature and the emission wavelength of the laser is achieved, transmission noise is remarkably reduced, and meanwhile system energy consumption and the self-adaptive capacity are considered.

The invention discloses an optical fiber twinning controllable vernier hydrogen sensor and a detection method, and belongs to the technical field of optical fiber sensing, the optical fiber twinning controllable vernier hydrogen sensor comprises a single-mode optical fiber, a femtosecond laser direct writing grating, a Fabry-Perot interferometer and a Pd / WO3 hydrogen sensitive film; the single-mode optical fiber comprises an optical fiber core and an optical fiber cladding, the femtosecond laser direct writing grating is prepared in the optical fiber core, the Fabry-Perot interferometer is composed of a reflecting surface 1 and a reflecting surface 2 which are relatively parallel to each other, the Pd / WO3 hydrogen sensitive film is coated on the inner side of the reflecting surface 2, and the femtosecond laser direct writing grating and the Fabry-Perot interferometer are arranged in series; the optical path of the Fabry-Perot interferometer is modulated through the interaction of the Pd / WO3 hydrogen sensitive film and hydrogen, interference spectrum wavelength drift is triggered, temperature compensation is achieved in combination with the temperature response of the femtosecond laser direct writing grating, and hydrogen concentration sensing is completed. The method is suitable for hydrogen leakage detection in industrial environments, energy equipment and other scenes.

The invention provides an inter-channel crosstalk suppression method in a multi-channel optical module, which aims at the problems of inter-channel interference and signal overlapping caused by wavelength shift in the multi-channel optical module, calculates the wavelength shift by adopting a proportional integral differential control method through collecting the reading of a temperature sensor and the output wavelength data of a laser device in real time, and finally suppresses the crosstalk in the multi-channel optical module. The threshold value is dynamically adjusted in combination with the environment temperature change, and the interference risk index is quantified; the wavelength drift trend is extracted through time sequence analysis, the channel interval adjustment logic is optimized, the filter bank is dynamically configured to improve the signal purity, meanwhile, the wavelength parameter is corrected through the offset compensation value, and the stability is ensured. If the transmission quality requirement is met, configuration parameters are locked, a correction model is matched and optimized through historical data, potential risks are predicted in combination with state estimation filtering, and the logic adaptability is enhanced and adjusted. According to the invention, efficient correction of wavelength drift and interference minimization are finally realized, and the transmission quality and operation stability of the multi-channel optical module are improved.

The invention belongs to the technical field of temperature demodulation, and particularly relates to a temperature measurement method and device based on machine learning and a storage medium, and the method comprises the steps: converting the temperature change into the wavelength shift of an interference spectrum through an interference type optical fiber temperature sensor; performing time domain stretching on the wavelength offset by using the dispersion compensation optical fiber to obtain time sequence offset; the method comprises the following steps: acquiring time sequence offset through signal acquisition equipment to obtain time domain sequence data, and preprocessing the time domain sequence data; position coding is adopted to obtain a feature sequence containing time sequence information; inputting the feature sequence into a Transform neural network to extract global features; normalizing the global features and then enhancing the global features; and mapping the enhanced features through a full connection layer of the Transform neural network, and outputting a predicted temperature value. And high-speed and high-precision temperature prediction is realized.

The invention belongs to the related technical field of sensors, and provides a multi-parameter integrated acquisition optical fiber sensor and a monitoring system thereof in order to solve the problem that high-precision monitoring of a static signal and a dynamic signal is difficult to consider by an existing sensor at the same time, a sensing cavity is sequentially divided into a static signal sensing area and a dynamic signal sensing area in the axial direction; the static signal sensing area adopts a multi-core fiber, fiber gratings are respectively engraved on the multi-core fiber, and the wavelength demodulation of the static signal is realized through the central wavelength drift distance of the fiber gratings; the dynamic signal sensing area is provided with a dynamic signal sensing unit, the dynamic signal sensing unit comprises F-P air microcavities formed between the dynamic signal sensing unit and the end faces of all fiber cores of the multi-core optical fiber, and intensity demodulation of dynamic signals is achieved through cavity length changes of the F-P air microcavities. According to the invention, a wavelength modulation and intensity modulation parallel composite demodulation mechanism is adopted, and decoupling acquisition of static strain, temperature and dynamic vibration is realized in a single sensor.

The invention provides a super-large-span net rack deformation monitoring method, and belongs to the technical field of deformation monitoring. A shape sensor is installed on a key rod piece of a super-large-span net rack in a wind tunnel test section, a double-grating differential compensation system suitable for a wind tunnel environment is established, and wavelength drift caused by high-speed airflow, temperature shock and pressure fluctuation is eliminated; a wavelength division multiplexing technology is adopted to carry out anti-interference signal acquisition, a double-layer game optimization model considering wind tunnel working condition characteristics is constructed to carry out dynamic error compensation, and a grating strain response matrix is established to realize accurate conversion from strain to deformation in a wind tunnel environment. A time sequence model based on a wind tunnel operation cycle is adopted to predict the wavelength drift trend of the sensor and start an adaptive compensation mechanism, and the technical problem that the deformation monitoring precision is seriously reduced due to wavelength drift of a wind tunnel test section ultra-large span grid structure under the action of high-speed airflow is solved.

This invention discloses a battery temperature and strain detection device and battery pack, relating to the field of battery monitoring technology. The device includes a light source, a controller, and a detection optical fiber. The detection optical fiber is connected between the light source and the controller to receive and transmit light to the controller. The controller is configured to determine a first wavelength shift caused by temperature influence when light flows through a fiber optic grating in the detection optical fiber, and a second wavelength shift caused by strain influence when light flows through a photonic crystal fiber in the detection optical fiber. Based on the first and second wavelength shifts, and the temperature and strain sensitivity coefficients of the fiber optic grating and the photonic crystal fiber, the temperature change and strain change of the battery are determined. Based on the temperature change, strain change, and preset temperature and strain reference values, the battery temperature and strain values ​​are determined. This solution improves the ability to detect battery temperature and strain.

The invention relates to a strain detection method and system, electronic equipment and a medium, and belongs to the technical field of optical fiber sensing, and the method comprises the steps: carrying out the linear fitting of a first central wavelength drift distance of a temperature sensing optical cable and a strain sensing optical cable which are laid in parallel in a first time window, and obtaining a ratio of the temperature sensitivity coefficients of the two optical cables; acquiring the actual strain of the strain sensing optical cable in a second time window, a second central wavelength drift distance and a third central wavelength drift distance of the temperature sensing optical cable; the product of the ratio and the third central wavelength drift distance is subtracted from the second central wavelength drift distance, and the strain-induced central wavelength drift distance of the strain sensing optical cable is obtained; performing linear fitting on the actual strain and the strain-induced central wavelength drift distance to obtain a strain sensitivity coefficient of the strain sensing optical cable; and performing strain detection based on the ratio and the strain sensitivity coefficient through the strain sensing optical cable. The temperature or strain sensitivity coefficient does not need to be calibrated in advance, and the practicability is higher.

The application belongs to the technical field of temperature demodulation, and particularly relates to a temperature measuring method and device based on machine learning and a storage medium, the method comprising: converting temperature changes into wavelength shifts of an interference spectrum by an interference optical fiber temperature sensor; stretching the wavelength shifts in the time domain by using a dispersion compensation optical fiber to obtain time sequence shifts; collecting the time sequence shifts by a signal acquisition device to obtain time domain sequence data, and preprocessing the time domain sequence data; obtaining a feature sequence containing time sequence information by using position coding; inputting the feature sequence into a Transform neural network to extract global features; enhancing the global features after normalization; and mapping the enhanced features by a full connection layer of the Transform neural network to output a predicted temperature value. High-speed and high-precision temperature prediction is realized.

Disclosed is a pulsed laser apparatus and method of generating a laser pulse. The apparatus includes an input coupler configured to receive pumping light from a pumping light source and a seed pulse from a seed pulse generator. The apparatus further includes a doped fiber-optic cable with an input port at a first end configured to receive the pumping light and the seed pulse. The doped fiber-optic cable amplifies the seed pulse to generate an output pulse. Along a first length of the doped fiber optic cable, the pulse spectrum broadens rapidly owing to nonlinearity. Beyond the first length in an extended portion, the output pulse shifts towards longer wavelengths and broadens in both spectral and temporal domains. The apparatus also includes an output port at a second end of the doped fiber-optic cable, wherein the output pulse exits the doped fiber-optic cable at the output port.

The demodulation method based on the ultra-weak fiber grating OFDR includes: performing fast Fourier transform on the time domain reflection signal collected by the OFDR system to obtain a frequency domain spectrum; setting an amplitude threshold, identifying the UW-FBG array reflection peak in the frequency domain spectrum, calibrating the spatial position of the sensing unit, and intercepting the window segment spectrum signal corresponding to each UW-FBG; performing inverse Fourier transform on the intercepted window segment spectrum signal to restore the spectrum signal of a single UW-FBG; for the reconstructed spectrum signal, selecting a fitting region containing the Bragg reflection peak, iteratively optimizing the Gaussian function fitting parameters by the least square method, and demodulating the peak Bragg wavelength; traversing the window segment spectrum signals of all UW-FBGs and repeating the above steps to obtain the Bragg wavelength shift distribution of the whole sensing region. The demodulation method based on the ultra-weak fiber grating OFDR improves the high-precision detection characteristics of the OFDR, realizes dynamic demodulation, significantly improves the sensing demodulation rate, and simplifies the algorithm complexity.

The application discloses a kind of machine room equipment intelligent remote operation and maintenance method and platform, it is related to intelligent operation and maintenance technical field, including, construct bayesian probability model, and combine optical signal characteristics and current harmonic characteristics, predict the failure probability distribution of machine room equipment;According to the failure probability distribution of machine room equipment, convert fault coordinates into equipment logical identifier, and detect the quantum teleportation link of machine room equipment, generate machine room equipment switching instruction according to detection result;According to machine room equipment switching instruction, send Bell state measurement command to fault equipment, and carry out quantum state reconstruction and machine room equipment switching.The application constructs multilayer bayesian probability model based on Gaussian distribution, Granger causality test and variational inference, realizes the nonlinear correlation analysis of optical signal wavelength shift and current harmonic characteristics, can accurately capture the weak signs of potential equipment failure, to significantly improve the sensitivity and reliability of failure prediction.

The application discloses a fiber Bragg grating soil pressure sensor and a manufacturing method thereof, and solves the problems of small range, poor dynamic matching with the rock-soil medium and insufficient high-frequency signal capturing capacity of the existing sensor. A linear groove is arranged on the inner bottom of a circular box-shaped shell, a first single-mode optical fiber with a fiber Bragg grating is arranged in the linear groove, and protection and sealing are performed on the first single-mode optical fiber. When a dynamic impact soil pressure acts on the circular box-shaped shell, elastic deformation occurs according to the small deflection plate shell theory. The deformation is transmitted to the fiber Bragg grating, and the center wavelength of the FBG is shifted. Through the establishment of a linear mapping relationship between the pressure and the wavelength shift of the FBG, the wide frequency response characteristic is ensured while the large-range dynamic impact soil stress measurement is realized, and the high-frequency signal capturing capacity of the FBG is greatly improved.

The invention discloses a complement amplification folic acid optical fiber sensing system and a folic acid concentration detection method thereof. The sensing system comprises an excitation light source, an optical fiber sensing probe, a micro-fluidic plate, a nanogold rod amplification solution and a spectrograph, the excitation light source, the optical fiber sensing probe and the spectrograph are sequentially communicated, the optical fiber sensing probe is introduced into the micro-fluidic plate, the nanogold rod amplification solution is introduced into the micro-fluidic plate, and the nanogold rod amplification solution is introduced into the spectrograph. The optical fiber sensing probe is a folic acid receptor protein modified gold-plated film optical fiber, and the nanogold rod amplification solution is a folic acid modified nanogold rod solution. Under the participation of the gold nanoparticles, the optical fiber sensing probe realizes enhanced plasma resonance wavelength shift, so that the sensitivity of folic acid molecule detection is remarkably improved, folic acid in a solution can be quickly and directly measured, and the application range is wide.

The invention discloses intelligent online monitoring equipment applied to a cable joint, which belongs to the technical field of cable detection and comprises a transmission optical fiber, a fiber bragg grating sensor, an optical fiber demodulator, a data processing unit and an intelligent early warning unit. The transmission optical fiber is used for monitoring signal transmission; the sensor is installed at a key temperature measurement part of a cable joint and is connected in series through optical fiber fusion to form a sensing network. The optical fiber demodulator realizes multi-joint positioning monitoring and wavelength offset acquisition through a wavelength division multiplexing or time division multiplexing technology; the data processing unit converts the wavelength offset into temperature variation; and the intelligent early warning unit adopts a convolutional neural network, a bidirectional long-short-term memory network and a self-attention mechanism mixed model to realize fault grading early warning and temperature rise trend advanced pre-judgment. The cable joint fault early warning system does not need field power supply, is high in anti-electromagnetic interference capability, can realize all-weather online monitoring and accurate positioning, and effectively improves the accuracy and timeliness of cable joint fault early warning.

The invention relates to an interrogator system for interrogating fiber based sensors. The system comprises a broadband excitation light source illuminating a first lead fiber section having a wavelength shift response generating optical waveguide sensor, and a second lead fiber section having an in-line two reflectors based fiber interferometer sensor. The system also includes a detection 3 x 3 interferometer having an optical path difference arranged to match the wavelength shift response generating optical waveguide sensor and the in-line two reflectors based fiber interferometer sensor.

In the present invention, the wavelength of incident light is measured on the basis of signals from a plurality of pixels of a photoelectric conversion element (5) lined up in the direction of dispersion of the incident light by a light-splitting means (4). When a wavelength shift is to be corrected, a wavelength shift measurement amount is calculated, the wavelength shift measurement amount being the difference between a measured value obtained by measuring the emission line wavelength of incident light from a wavelength shift correction light source (10) that radiates light including an emission line of at least one wavelength, from within the wavelength range in which dispersion by the light-splitting means (4) is possible, and the original emission line wavelength. An emission line wavelength shift reference amount is calculated using a polynomial in which the characteristics of the wavelength shift that occurs are represented by a polynomial of degree 1 or higher, with the wavelength or a parameter relating to the wavelength being used as a variable. The coefficients of the polynomial are determined from the calculated emission line wavelength shift measurement amount and emission line wavelength shift reference amount, and the wavelength of the incident light is corrected on the basis of the determined polynomial.

The invention belongs to the technical field of aircraft panel structure sensors, and provides a structural form reconstruction method based on single-dimensional optical fiber sensing and a cascade neural network, and the method comprises the steps: installing an optical fiber grating sensor in a single direction, and recording the position information; according to the central wavelength offset data and the position information, constructing and training a strain field reconstruction neural network to obtain a strain prediction value; performing data enhancement on the strain prediction value; constructing a deflection field reconstruction neural network based on the enhanced feature data in combination with wallboard physical information, and obtaining a deflection prediction value; reconstructing the neural network based on the strain field and the deflection field to construct a cascade neural network and training the cascade neural network; and using the trained cascade neural network to invert the deformation characteristics of the wing panel. According to the method, the sensors only need to be arranged in a single direction, the loss function of the physical law and the cascade neural network are introduced, accurate shape reconstruction of the wing wallboard under the three-dimensional deformation working condition is achieved, and support is provided for wing safety evaluation and self-adaptive regulation and control.

This invention provides a method and system for optical fiber shape reconstruction, comprising: acquiring an optical fiber reference signal and an optical fiber measurement signal; processing the acquired optical fiber reference signal and optical fiber measurement signal respectively to obtain an optical fiber reference spectrum and an optical fiber measurement spectrum; based on the optical fiber reference spectrum and optical fiber measurement spectrum, using a preset deviation calculation algorithm to obtain a wavelength offset including noise; performing noise reduction processing on the wavelength offset using a wavelength offset denoising model to obtain denoised strain information; and reconstructing the optical fiber shape based on the strain information using a shape reconstruction algorithm. This invention provides a method and system for optical fiber shape reconstruction that can achieve good accuracy in reconstructing the three-dimensional shape of optical fibers while effectively improving the speed of three-dimensional shape reconstruction, thus helping to meet the real-time requirements of optical fiber three-dimensional shape reconstruction applications.

The application relates to the technical field of optical fiber sensing, and discloses a stress monitoring and temperature measuring method and system based on an optical fiber grating. The method obtains identification information of a target optical fiber grating sensor, queries and determines a historical stress temperature data set in a historical storage unit, performs grouping operation on the historical stress temperature data set to generate a plurality of grouped monitoring data sets, extracts wavelength shift features for each grouped monitoring data set to obtain a plurality of characteristic core values and characteristic influence ranges, establishes a plurality of analysis units by using the characteristic influence ranges, applies the analysis units to process a real-time captured optical signal sequence to generate a plurality of analysis characteristic sets, integrates the analysis characteristic sets to obtain an integrated characteristic result, and then derives a stress measurement value and a temperature measurement value based on the result. The method improves the effectiveness and reliability of the optical fiber grating in stress and temperature monitoring, and is suitable for related measurement scenes in the fields of engineering structure health monitoring and industrial process control.

The invention discloses a hydrogen conveying pipeline monitoring system with pressure sensing and a safety monitoring and early warning method, the hydrogen conveying pipeline monitoring system comprises a distributed optical fiber sensing network, a decoupling and processing unit and an early warning judgment module, and the distributed optical fiber sensing network comprises an optical fiber and an optical fiber grating sensor; the decoupling and processing unit is used for receiving the reflected light wavelength shift signal, separating a wavelength shift component exclusive to pressure change through a decoupling algorithm, and calculating to obtain a real-time hydrogen pressure value along the hydrogen conveying pipeline based on a preset pressure-wavelength relation model; the early warning judgment module is used for comparing the real-time hydrogen pressure value with a preset pressure safety threshold value range in real time, and when the real-time hydrogen pressure value exceeds the pressure safety threshold value range, a pressure abnormity early warning signal is generated and sent out. The optical fiber sensing technology is used for conducting remote pressure monitoring and early warning on the hydrogen conveying pipeline with the pressure sensing function, leakage is found in time, pipeline maintenance and repair are convenient, and the use cost is saved.

The invention discloses a device and a method for measuring omnidirectional vector bending by using a double-tap microwave photonic filter. According to the device, a multi-core fiber bragg grating is adopted as a bending sensor, a double-tap microwave photonic filter based on a Mach-Zehnder interferometer structure is constructed, and reflected signals of a middle core fiber bragg grating and any one core shift fiber bragg grating are adopted as optical tap signals of the double-tap microwave photonic filter. The wavelength drift of the fiber Bragg grating caused by bending is mapped into the time delay inequality change of the two optical taps, so that the curvature is detected. The measuring device has high measurement resolution and temperature insensitivity, can realize 0-360-degree omnidirectional vector bending measurement, is easy to implement, has a relatively compact structure, has wide application prospects in the fields of structural health monitoring, three-dimensional shape sensing, intelligent robot posture recognition and the like, and is suitable for popularization and application.

This invention relates to a non-volatile reconfigurable filter based on a Bragg grating. The filter includes an SOI substrate, a waveguide, a phase-shifted Bragg grating structure, a first non-volatile phase change material (PVMT) film, and a second non-volatile PVMT film. The waveguide, containing the phase-shifted Bragg grating structure, is disposed above the SOI substrate. The first PVMT film is disposed in the phase-shifted region above the phase-shifted Bragg grating structure, and the second PVMT film is disposed in the uniform grating region above the phase-shifted Bragg grating structure. The first PVMT film is disposed between the second PVMT films. This filter achieves both constant transmission power with center wavelength shift and constant transmission center wavelength with power tuning while maintaining a transmission loss of only 0.76 dB.

The application discloses a hydrogen pipeline monitoring system with pressure sensing and a safety monitoring and early warning method, and relates to the field of hydrogen pipeline monitoring systems.The hydrogen pipeline monitoring system comprises a distributed optical fiber sensing network, a decoupling and processing unit, and an early warning judgment module.The distributed optical fiber sensing network comprises an optical fiber and an optical fiber grating sensor.The decoupling and processing unit is used for receiving reflected light wavelength shift signals, separating wavelength shift components that are exclusively related to pressure changes through a decoupling algorithm, and calculating real-time hydrogen pressure values along the hydrogen pipeline based on a preset pressure-wavelength relationship model.The early warning judgment module is used for comparing the real-time hydrogen pressure values with a preset pressure safety threshold range in real time, and generating and sending a pressure anomaly early warning signal when the real-time hydrogen pressure values exceed the pressure safety threshold range.The application uses optical fiber sensing technology to remotely monitor and warn the hydrogen pipeline with pressure sensing, discovers leaks in a timely manner, facilitates pipeline maintenance and repair, and saves use costs.

The invention provides a soft mattress deformation reduction method and device based on grating sensing, and relates to the technical field of hydraulic engineering, and the method comprises the steps: obtaining the optical signal wavelength of each section of first grating, and determining the first wavelength offset of the first grating caused by strain and temperature; correcting the first wavelength offset based on the second wavelength offset to obtain a third wavelength offset of the first grating caused by strain; determining a first strain value of the first grating based on the third wavelength offset; calculating the curvature radius of the optical cable arc according to the third wavelength offset and the first strain value; and calculating a central angle of the optical cable arc according to the curvature radius, and calculating a displacement value of the optical cable arc according to the central angle as a strain reduction value of the to-be-reduced row body. The method is used for solving the technical problems that in the prior art, sustainability is difficult to achieve on row body deformation monitoring, and the row body deformation reduction accuracy is low.

The invention relates to the field of spectral analysis, and provides a grating spectrometer and a method, the spectrometer comprises a shell and a grating, the grating is arranged in the shell; the temperature measuring unit comprises a light source, an FBG (Fiber Bragg Grating) and a demodulator, an optical fiber is connected with the light source and the FBG, the FBG is arranged at the back of the grating, and the demodulator outputs a reflection wavelength offset delta lambda B; the heater and the refrigerator are arranged in the shell; the calculation unit obtains a regulation and control temperature difference delta T according to the wavelength offset delta lambda B, and obtains regulation and control power P according to the temperature difference delta T; and the controller is used for controlling the heater or the refrigerator according to the regulation power P. The method has the advantages of high temperature control precision and the like.

The invention provides a phase shift fiber bragg grating ultrasonic detection system and method based on a photoelectric oscillator, a terminal and a medium, and relates to the technical field of microwave photonic fiber sensing, and the system comprises a laser, a polarization controller, a photoelectric self-oscillation loop, a phase shift fiber bragg grating, a down-conversion module and a high-speed data acquisition module. Laser signals generated by the laser device are output to the loop after passing through the polarization controller, when phase shift peak shift occurs to an optical grating connected with one end of an optical circulator in the loop under the action of ultrasonic signals, the loop outputs two paths of target microwave signals in a beam splitting mode, one path reaches the phase modulator to maintain the oscillation condition, and the other path is processed by the down-conversion module and then is transmitted to the optical circulator. The high-speed data acquisition module acquires and analyzes frequency domain sideband modulation signals of the signals, and the recovery and quantitative detection of the ultrasonic signals are realized through demodulation. The optical domain wavelength offset is converted into the modulation characteristic of an electric domain microwave signal through a loop, the limitation of the traditional measurement range is broken through, and the ambient temperature interference can be inhibited.

The invention discloses a composite material defect monitoring method and system based on a fiber grating sensor. The method comprises the following steps: implanting fiber bragg grating sensors in a composite material and forming an array, then acquiring a central wavelength offset measured by each fiber bragg grating sensor in real time by adopting a signal demodulation device, calculating a corresponding stress gradient, temperature change rate or vibration frequency offset according to the central wavelength offset, and constructing a defect characteristic pattern; and finally, performing defect detection by adopting a defect detection module, and performing multi-stage early warning according to a defect detection result. The technical problems that in the prior art, the implanting process of the fiber grating sensor in the composite material is complex, the interface bonding strength of the sensor and the base material is difficult to guarantee, and multi-parameter and multi-scale defect monitoring is difficult to achieve are solved, and the defects in the composite material structure are recognized and positioned more accurately.

The application relates to a transformer vibration and partial discharge online monitoring device based on an optical fiber sensor, and the device method comprises the following steps: a laser emits a laser signal; an acousto-optic modulator responds to a parameter control signal to adjust the frequency and wavelength of the laser signal; an optical fiber sensor is disturbed by the vibration or partial discharge of a transformer, so that the reflected light of the laser signal is subjected to Bragg wavelength shift; the optical fiber sensor comprises multiple groups of symmetrical fiber gratings and counterweights fixed at both ends of the fiber gratings; the counterweights adopt a hollow thin-wall structure; a photoelectric detector receives the returned light signal of the optical fiber sensor and converts the light signal into an electric signal. Through the application, the problem of low accuracy of the transformer monitoring device is solved; the counterweight with the hollow thin-wall structure improves the sensing ability of the sensor to slight vibration; the symmetrical structure of the fiber grating enables the sensor to more sensitively respond to vibration in different directions, and improves the adaptability and detection capability of the sensor in a complex vibration environment.