165 results about "Fbg sensor" patented technology

The invention provides a decoupling and Kalman filtering temperature strain demodulation method and system for double fiber gratings, and relates to the technical field of optical fiber sensing. The method comprises the following steps: firstly, designing an FBG sensing module for measuring environment temperature change and strain information; the FBG sensing module comprises a two-channel sensing system composed of an FBG1 sensor and an FBG2 sensor, and is used for measuring environment temperature change and strain information at the same time. Then, aiming at optical signals which are acquired by the two FBG sensors and contain physical quantity information, a wavelength demodulation module is used for acquiring the central wavelength drift distance of reflection spectrums of the two FBG sensors; temperature sensitivity coefficients and strain sensitivity coefficients of the two FBG sensors are obtained, and a linear equation set is constructed for independent variation of temperature and strain to perform matrix decoupling so as to distinguish the influence of the temperature and the strain on the change of the central wavelength; and performing optimization estimation on the decoupled temperature and strain by using the prior information of the temperature and the strain and combining a real-time measurement value by adopting a Kalman filtering method.

The invention discloses a dam leakage monitoring system and method based on optical fiber sensing and time-space fusion. The dam leakage monitoring system comprises an optical fiber sensing system, a data processing and analyzing system, a dam leakage data management system and a real-time monitoring platform. According to the invention, the distributed optical fiber realizes continuous strain and temperature monitoring of the whole length of a dam, a leakage area can be roughly positioned, an FBG sensor is deployed at a key position, local tiny deformation is accurately monitored, a cooperative mode is formed by combining wide-area screening of the distributed optical fiber and key diagnosis of the FBG, and the monitoring efficiency is improved; the all-fiber passive design is adopted, the environmental adaptability is high, the anti-interference performance and the long-term stability are high, frequent maintenance is not needed after the fiber is embedded into the structure, and the operation and maintenance cost is reduced; finally, the leakage risk is displayed through a trend curve of a visual data platform, alarm pushing and emergency plan functions are automatically triggered, the closed-loop time of monitoring, decision making and response is shortened, and the real-time performance and decision-making force are improved.

The invention discloses an embedded fiber grating sensor self-calibration strain monitoring system and method.The system comprises a fiber grating sensor, an optical fiber demodulator and a stress buffering type self-calibration mechanism, and the fiber grating sensor is embedded into a propeller blade prefabricated mounting groove through a metal embedded part and a gradient modulus adhesive layer; the plurality of fiber grating sensors are symmetrically distributed in a propeller blade prefabricated mounting groove in pairs, and infrared rays of each pair of symmetrical fiber grating sensors are converged at the circle center of a propeller hub to form a dynamic reference point; the optical fiber demodulator is integrated on the propeller hub and is connected with the plurality of optical fiber grating sensors; the stress buffering type self-calibration mechanism integrates a double-shaft flexible hinge and a shape memory alloy, and interface stress buffering and fiber grating sensor position collaborative self-calibration are achieved. The interface stress is effectively reduced through the gradient modulus glue layer, and the shape memory alloy drives the double-shaft flexible hinge to efficiently correct the offset of the fiber grating sensor in real time and buffer the vibration.

The invention provides a self-adaptive fitting method and system for a substrate deformation measurement system based on a fiber bragg grating (FBG), and the method comprises the steps: reading an output signal of an FBG sensor network, respectively collecting the wavelength data of a grating sensor and the stress data of a stress sensor at the same position as the grating sensor, and constructing a stress-wavelength data set; fBG data points with most sensitive deformation response are automatically identified, and a dynamic sensitive point set is formed and then preprocessed; a set needing to be continuously monitored is analyzed and determined, a specific point is selected to execute an adaptive segmentation fitting algorithm, segmentation points and fitting polynomial coefficients of all subintervals are output, and a final fitting model is constructed; according to the sub-interval of the wavelength value measured by the FBG sensor, calling a sub-interval fitting model, calculating a corresponding stress value, and further obtaining the deformation quantity of the measured object. According to the invention, the contradiction between the monitoring efficiency and precision of the traditional uniform layout in a complex stress scene is solved, and the technical path and the application target have remarkable industry uniqueness.

The invention discloses a method for measuring fan blade root stress based on a fiber bragg grating sensor. According to the method, 6-10 key measurement points are selected in a blade root area of a fan blade, a pair of FBG sensors is installed at each measurement point, one FBG sensor is used for stress measurement (affected by strain and temperature at the same time), the other FBG sensor is used for temperature compensation, and decoupling of temperature and strain signals is achieved. The system adopts a single-mode optical fiber, a broadband light source (the wave band is 1525-1565 nm, and the power is 10-20 mW) and a high-resolution spectrum analyzer (the resolution is smaller than or equal to 1 pm, and the sampling rate is larger than or equal to 100 Hz or 1 kHz) to collect optical signals reflected by an FBG sensor in real time, measured wavelength shift is converted into accurate strain data through temperature compensation and a strain calculation formula, and the optical signals are transmitted to the FBG sensor. And calculating a stress value by combining the Young modulus and Poisson's ratio of the material. The method has the advantages of being high in precision, high in real-time performance, resistant to electromagnetic interference and suitable for seaborne, high-altitude and other severe environments, and reliable data support can be provided for dynamic stress monitoring, fatigue life prediction and fault early warning of the fan blade.

The invention provides an antenna oscillator production method, an antenna oscillator and communication equipment, and the method comprises the following steps: S1, material pretreatment: selecting a high-conductivity titanium-aluminum alloy plate, eliminating initial stress through vacuum annealing, and after annealing, removing an oxide layer and organic matters through plasma cleaning equipment; and S2, composite forming: carrying out stamping and stretching forming on the titanium-aluminum alloy plate by using a die to form an antenna oscillator, and integrating a fiber bragg grating sensor in the stamping process to monitor the stress distribution of the material in real time. According to the production method of the antenna oscillator, the antenna oscillator and the communication equipment, the annealing and cooling processes are accurately controlled, and the stress distribution is monitored in real time by using the FBG sensor, so that the production period of the antenna oscillator is remarkably shortened, the waiting time in the production process is reduced, and the production efficiency is improved. The problems of deformation, cracking and the like caused by stress concentration in the machining process of the antenna oscillator are greatly reduced, the rejection rate is reduced, and waste of raw materials and energy is reduced.

The invention discloses a composite strain sensing network which comprises FBG sensors and a flexible fabric strain sensor, and the multiple FBG sensors are located on an optical fiber. The optical fibers are transversely and longitudinally arranged on the surface of the tank body; each strain sensor is arranged next to the FBG sensor, and the pasting direction is consistent with the pasting direction of the FBG sensor. The invention further discloses a tank deformation measuring method. The method comprises the following steps: carrying out strain measurement on the tank; establishing a coordinate system, and calculating coordinate values of all sensor position points through a mathematical relationship between strain and deformation according to the positions of the measuring points of the composite strain sensing network; dividing the surface of the tank body into n sub-regions, establishing a quadric surface function for each sub-region, weighting according to the strain of each point, solving an equation by using a weighted least square method, and obtaining a curved surface function of each sub-region; and integrating the curved surface functions of all the sub-regions to obtain the overall deformation condition of the tank body. The method has the advantages of comprehensive and accurate measurement and the like.

The embodiment of the invention provides a temperature compensation method and system of an FBG sensor, a model training method and system, equipment and a medium, and belongs to the technical field of computers. According to the method, a training data set is collected based on strain monitoring of an FBG sensor, then a data set of wavelength change measurement under the influence of temperature is constructed through a mapping relation between strain parameters and wavelengths, a temperature compensation model is trained based on the data set, and the model is used for analyzing wavelength compensation under the influence of the temperature. The model can be suitable for temperature compensation of various types of parameter measurement results of the FBG sensor, and the temperature compensation method is simplified.

A thermal measurement system enables high-resolution sub-surface temperature monitoring during additive manufacturing processes through machine learning demodulation of chirped fiber Bragg grating (C-FBG) sensors. An optical sensing subsystem includes a C-FBG sensor that encodes spatial temperature information in wavelength for high-temperature operation. A neural network model transforms complex reflection spectra into spatial temperature profiles with micrometer-scale resolution, overcoming limitations of traditional demodulation methods. A calibration subsystem generates synchronized spectral and thermal imaging data for training the neural network using controlled thermal profiles. The system captures steep thermal gradients and rapid cooling rates during laser powder bed fusion operations. A fiber embedding technique maintains the sensor in a strain-free condition at controlled sub-surface depths. The integration of high-temperature C-FBG sensors with machine learning signal processing achieves significant improvement in spatial resolution compared to traditional fiber optic thermal measurement approaches.

The invention discloses a method for inverting field scale debris flow through earth sound signals, and the method comprises the following steps: S1, constructing a conversion relation between debris flow earth sound signals and vibration signals, converting the physical work of a rock-soil body into signal work, and constructing a theoretical relation between the signal amplitude epsilon'of an FBG sensor and the single compression work W of the rock-soil body; and S2, on the basis of the theoretical basis of the step S1, constructing a physical model for inverting the debris flow. According to the method, inverse operation of Fch-kinetic parameters can be completed, an inversion chain of'earth sound signals-Fch-kinetic parameters' is formed, and a physical model of earth sound inversion debris flow is successfully constructed.

The invention discloses a real-time monitoring method for local corrosion of a copper base material based on a discrete FBG sensor, and belongs to the technical field of metal corrosion monitoring. FBG strain sensors and temperature compensation sensors are distributed on the surface of the copper base material, and a temperature compensation mechanism is matched to eliminate measurement errors caused by environment temperature changes, so that the real-time monitoring of local corrosion of the copper base material is realized. Bragg wavelength drift caused by corrosion product accumulation in the corrosion process is collected in real time, and then real-time and continuous tracking of the corrosion dynamic process is obtained. The method realizes early recognition, accurate positioning and quantitative evaluation of local corrosion of the copper base material, has the advantages of non-destructiveness, high sensitivity, long-term stability and the like, and is suitable for corrosion health monitoring of copper structures such as ocean engineering, buildings, pipelines and the like.

The invention relates to the technical field of monitoring devices, and discloses an FBG sensor-based filter bag damage real-time monitoring device, which comprises an FBG sensor, an upper sealing cover, a lower sealing cover, an upper support ring fixedly mounted at the bottom end of the upper sealing cover, a lower support ring fixedly mounted at the top end of the lower sealing cover, and an elastic sleeve sleeving the upper support ring and the lower support ring, a cavity is formed among the upper sealing cover, the lower sealing cover and the elastic sleeve, an upper connecting port communicated with the cavity is formed in the top of the upper sealing cover, and a lower connecting port communicated with the cavity is formed in the bottom of the lower sealing cover; according to the invention, the fiber bragg gratings of the plurality of FBG sensors are wound and pasted on the elastic sleeve, and the wavelength change of the fiber bragg gratings is monitored in real time by combining the demodulator, so that the damage and blockage states of the filter bag are accurately identified, and the damage and blockage states of the filter bag are accurately identified by arranging the fiber bragg gratings outside the elastic sleeve and matching with the elastic rubber material of the elastic sleeve. Fine dust in industrial tail gas is prevented from being attached to a monitoring element, the maintenance frequency of the device is reduced, and the service life is prolonged.

The invention discloses a composite hose structure for fuel gas transmission, and relates to the technical field of fuel gas transmission and distribution equipment, the composite hose structure comprises a dual-mode quick sealing assembly, dual-mode monitoring is formed by an FBG sensor, a phase-sensitive optical time domain reflectometer and a carbon tube composite filament, the FBG sensor can capture fine strain of a reinforced fiber layer in real time, and the phase-sensitive optical time domain reflectometer can capture the fine strain of the reinforced fiber layer in real time; the phase-sensitive optical time domain reflectometer detects and captures stress waves generated by crack propagation in a material through broadband sound waves, early recognition of millimeter-level damage in a pipe is achieved, grids woven by carbon tube composite filaments are utilized, continuity of the grids is monitored in real time through alternating-current impedance measurement, and the detection accuracy of the millimeter-level damage in the pipe is improved. When local grid resistance is increased due to breakage of the reinforced fiber layer, a micro-damage area can be accurately positioned, when leakage occurs, the memory alloy spring receives an electric signal monitored by a dual-mode, then axial thrust is generated to push the outer side of the fluororubber sealing ring, the fluororubber sealing ring expands in the radial direction under the thrust action of the memory alloy spring, and the leakage is prevented. And rapid and effective mechanical hard sealing is realized.

The invention provides a high-frequency FBG sensor with symmetrical elliptical flexible hinges and a monitoring method of the high-frequency FBG sensor, and relates to the technical field of optical fiber sensing, the sensor comprises a fiber Bragg grating, a base, a first elliptical flexible hinge, a second elliptical flexible hinge, a first mass block and a second mass block; the left side of the base is connected with a first elliptical flexible hinge; the first elliptical flexible hinge is connected with a first mass block; the right side of the base is connected with a second elliptical flexible hinge; the second elliptical flexible hinge is connected with a second mass block; the fiber bragg grating is arranged between the first mass block and the second mass block. As a flexible hinge design, the symmetrical elliptical flexible hinge solves the problem that the motion range is limited, achieves a larger motion range, increases the sensitivity, and keeps high precision at the same time.

The invention relates to a ship buoyant raft structure deformation high-precision reconstruction method based on a multistage domain segmentation PINN, and the method comprises the steps: 1, carrying out the measurement through an FBG sensor, obtaining the real strain at an arrangement measurement point, and obtaining any strain curve on an elastic support buoyant raft structure through an interpolation method; and 2, converting the strain curve obtained in the step 1 into curvature through a strain-curvature equation calculation model. And finally, embedding the curvature-displacement equation into the neural network by constructing a PINN network, ensuring that an output result of the neural network automatically meets a boundary condition by constructing a loss function of a physical equation and a data compensation condition and constructing a mandatory boundary condition, and obtaining displacement of any curve on the plate. In the initial stage, a first-order optimization algorithm is used for iterative training, then a second-order optimizer is used for network adjustment, optimal network parameters are obtained, and a multilevel domain segmentation PINN proxy model using local observation data of a finite strain sensor and a displacement sensor is established.

The invention discloses a microstructure sensor for monitoring stress and temperature of a charging interface of a solid engine, which comprises a flexible packaging layer, an elastic conversion unit and a fiber bragg grating sensing unit, and is characterized in that the elastic conversion unit is a standard arc with a preset length-width ratio; the fiber grating sensing unit comprises a fiber strain sensing unit and a fiber temperature sensing unit; the optical fiber strain sensing unit and the optical fiber temperature sensing unit are two FBG (Fiber Bragg Grating) sensors which are arranged in parallel and are spatially isolated; the optical fiber strain sensing unit is used for indirectly measuring interface stress; the optical fiber temperature sensing unit is used for measuring the environment temperature and compensating the influence of the temperature on strain measurement; when the sensor is stressed, the elastic conversion unit is deformed under the action of the stress, so that the optical fiber strain sensing unit records the strain along the extension direction of the optical fiber; the flexible packaging layer wraps the elastic conversion unit and the fiber grating sensing unit. The micro-structure sensor realizes stress monitoring on the charging interface of the solid engine.

The invention discloses a voltage transformer structure health monitoring method and system based on an embedded FBG sensor, and aims to overcome the defects of poor real-time performance, limited monitoring points and the like of a traditional voltage transformer monitoring method. According to the invention, a plurality of FBG sensors are arranged at key parts of the voltage transformer, the strain and temperature sensing capabilities of the FBG sensors are utilized, and the strain mapping technology is combined, so that the comprehensive and accurate monitoring of the structural strain of the voltage transformer is realized; the FBG sensors are connected in series through an optical fiber line to form a sensing network, and the data acquisition unit acquires signals in the sensing network in real time and performs data processing and analysis; structural abnormalities and potential faults are found in time, the safety and reliability of equipment are improved, a remote monitoring function is achieved, monitoring data can be transmitted to a remote monitoring center in real time through a wireless network, operation and maintenance personnel can master the state of the voltage transformer at any time, fault early warning and quick response are achieved, and the maintenance cost is reduced. And the overall operation and maintenance efficiency of the power system is improved.

The embodiment of the invention provides an online detection method, device and equipment for a fiber-wound composite gas cylinder and a medium, and belongs to the technical field of fatigue detection. The method comprises the following steps: acquiring a grating sensing signal of a target gas cylinder in an operation process, wherein the grating sensing signal is acquired by an FBG sensor pre-embedded in a fiber layer of the target gas cylinder; extracting a strain detection signal according to the grating sensing signal; determining a predicted damage area of the target gas cylinder according to the strain detection signal; determining a scanning path according to the predicted damage area, and obtaining ultrasonic detection data through ultrasonic phased array scanning based on the scanning path; and based on the predicted damage area, damage information of the target gas cylinder is determined according to the strain detection signal and / or the ultrasonic detection data, and the damage information comprises a damage position and a damage type. The invention aims to realize the damage state detection of the gas cylinder in the operation process and improve the use safety of the gas cylinder.

The invention discloses a wind power plant current collection line fault diagnosis and positioning method based on multi-dimensional physical quantity, belongs to the field of power system fault diagnosis, and aims to solve the problems of weak anti-electromagnetic interference, insufficient multi-fault identification capability and low positioning precision in traditional monitoring of a 35kV current collection line of a wind power plant. A multi-fault diagnosis positioning method based on FBG sensing and adaptive VMD-ELM is provided. The method comprises the following steps: deploying an FBG sensor array at a key node of a current collection line, and synchronously collecting strain, temperature and vibration signals; the permutation entropy is introduced to dynamically adjust the VMD penalty factor to realize adaptive feature extraction, and the ELM is combined to construct a multi-dimensional feature vector classification model, so that a normal state and four faults of short circuit, insulation aging, partial discharge and icing can be identified, the fault position can be accurately positioned, the complex working condition of a wind power plant current collection line can be adapted, and an electric power system can be effectively protected.

The invention relates to an intelligent stomach tube positioning system and a positioning method thereof, and belongs to the technical field of medical stomach tubes, the system comprises a stomach tube body, the outer side of the stomach tube body is provided with an FBG sensor, and the FBG sensor is used for collecting deformation signals of the inner wall of the esophagus in real time; the data processing unit is in signal connection with the FBG sensor, a deformation waveform classification model is arranged in the data processing unit, three physiological stenosis sections of the esophagus can be identified by analyzing deformation signals, and the three physiological stenosis sections are the annular pharyngeal stenosis section, the bronchial intersection stenosis section and the diaphragm stenosis section respectively; the verification module comprises a pH sensor and an air pressure sensor which are arranged on the stomach tube body and is used for verifying the in-place state of the stomach tube body in a multi-mode manner; and the interaction module is in signal connection with the data processing unit and the verification module and is used for displaying the passing state of the physiological narrow section and triggering a multi-level alarm. According to the stomach tube, the position of the stomach tube body can be recognized, pain brought to a patient due to repeated insertion of the stomach tube in a traditional blind insertion mode is reduced, and clinical operation safety is improved.

The invention discloses a temperature and hydrogen concentration dual-parameter synchronous detection system and method, and the system comprises an ASE broadband light source, the output of the ASE broadband light source is divided into two paths through a coupler, one path enters a first circulator, the other path enters a second circulator, the output of the first circulator enters a first FBG sensor, the output of the second circulator enters a second FBG sensor, and the output of the first FBG sensor enters a second FBG sensor. The two FBG sensors are arranged in the gas chamber, the first FBG sensor and the second FBG sensor are provided with FBG topological optical fiber structures with different working wavelengths and have temperature sensitivity and gas selective response, and reflected signals of the two FBG sensors are coupled to one path through the dual-channel wavelength division multiplexer and are sent to the spectrum analyzer for wavelength demodulation. The temperature sensitivity and the gas selective response are integrated in the same sensing unit by utilizing the wavelength coding characteristic of the fiber bragg grating, so that precise decoupling and real-time output of double parameters are realized, and the detection efficiency and the data consistency are improved.

The invention discloses a material conveying and drying integrated system based on field energy coupling and a control method, and belongs to the technical field of material drying and conveying. Comprising a flexible composite conveying belt, an electromagnetic-microwave composite heating module and an ORC power generation system, and the flexible composite conveying belt is formed by compounding a graphene base material layer and a piezoelectric ceramic surface layer; the memory alloy hinge is located in the graphene base material layer, the FBG sensor optical fiber is embedded into the neutral axis plane of the graphene base material layer, the water content of materials is reduced to be lower than 5% through the synergistic effect of an electromagnetic field and a microwave field and waste heat power generation, the comprehensive energy efficiency ratio of the system is larger than or equal to 2.0, the ORC power generation technology is combined, efficient material drying and energy recovery are achieved, and the energy efficiency of the system is improved. And the device is suitable for green conveying of high-water-content coal slime, copper concentrate and other scenes.

This invention discloses a multi-channel programmable miniaturized high-speed FBG demodulation system and method based on an AWG (Optical Fiber Optic Generator), belonging to the field of fiber optic sensing technology. The AWG-based multi-channel programmable miniaturized high-speed FBG demodulation system includes a high-stability broadband light source module, a low-loss isolation module, a miniaturized programmable fiber optic amplifier, a circulator, a two-stage miniaturized high-speed optical switch, a high-crosstalk AWG module, a photoelectric conversion module, a programmable A / D conversion module, and a core control module. The AWG-based multi-channel programmable miniaturized high-speed FBG demodulation method involves the optical signal entering an FBG sensor array, the FBG sensor reflecting the optical signal, the reflected optical signal entering the AWG module, and the output light undergoing photoelectric conversion to calculate the center wavelength of the FBG sensor. This invention, based on an AWG, improves demodulation accuracy while ensuring the demodulation range, achieving continuous wavelength demodulation within the AWG wavelength range.

The present invention relates to the field of optical fiber sensing technology, and more specifically to a MOMES and FBG fusion sensing system based on an adjustable laser array. A multi-wavelength tunable laser array light source is used to generate fast broadband frequency-sweeping laser light, which is split into M outputs via a multi-path planar optical waveguide splitter coupler. Each output end is connected to N FBG sensor arrays and one MOMES sensor, and the reflected light of the sensing signal is received by the corresponding photodetector. After data processing by a photoelectric converter, a logarithmic amplifier, an analog-to-digital converter, and an FPGA-compatible algorithm platform, the peaks and troughs of the reflected spectrum data at each wavelength point are simultaneously found. The peak data is used to demodulate the FBG sensor array, and the trough data is used to demodulate the MOMES sensor. The optical path structure and algorithm design of the system achieve synchronous demodulation of the FBG and MOMES sensors, significantly improving the system's compatibility and computational efficiency.

This invention relates to a high-precision reconstruction method for the deformation of ship floating raft structures based on multi-level domain segmented PINN. The first step involves measuring the actual strain at the designated measuring points using FBG sensors, and then using interpolation to obtain an arbitrary strain curve on the elastically supported floating raft structure. The second step transforms the strain curve obtained in step one into curvature using a strain-curvature equation calculation model. Finally, a PINN network is constructed, embedding the curvature-displacement equation into the neural network. By constructing physical equations, a loss function for data compensation conditions, and mandatory boundary conditions, the output of the neural network is guaranteed to automatically satisfy the boundary conditions, thus obtaining the displacement of any curve on the raft. Initially, a first-order optimization algorithm is used for iterative training, followed by a second-order optimizer to adjust the network parameters and obtain the optimal network parameters. This establishes a multi-level domain segmented PINN surrogate model using local observation data from finite strain and displacement sensors.

The invention discloses an FBG sensor suitable for slope monitoring in a plateau environment, the FBG sensor comprises a flexible substrate and a plurality of FBGs, the FBGs are all arranged to be rod structures, each FBG comprises an optical fiber core, an optical fiber cladding and an outer cladding, and a grating array is arranged in the optical fiber core; the surface of the flexible substrate is symmetrically provided with two rectangular grooves along the axis, the plurality of fiber Bragg gratings are uniformly arranged in the two grooves, the flexible substrate is divided into a plurality of micro-segments, each micro-segment is set as a detection unit, each detection unit is connected with the data processing module, and the data processing module is connected with the data processing module. The detection unit comprises two vertically corresponding fiber bragg gratings installed in the two grooves, compared with the prior art, various influences of the plateau environment can be overcome, and the change condition of the slope can be accurately monitored; the temperature change is sensed by coating a special coating, so that the temperature coverage range is wide; the device is small in size, light in weight and convenient to install, and has the characteristics of long-term stability, wavelength multiplexing and the like.

The application discloses an integrated circuit packaging material stress test system and method, and belongs to the field of integrated circuits. The system comprises a multi-axis stress applying device, an environment control unit, a deformation data acquisition unit and a data analysis module. By applying multi-axis composite stress and using high-precision DIC or FBG sensors to acquire strain data, real-time analysis and prediction are carried out in combination with CNN, LSTM and reinforcement learning algorithms, and the loading path is dynamically optimized. The application realizes complex working condition simulation, accurate capture of micro-deformation and intelligent optimization of the test process, and significantly improves the test precision and efficiency.

The invention discloses a low-voltage power transmission line aeolian vibration and arch swing monitoring method, and relates to the technical field of power detection. According to the invention, the FBG sensors are arranged on the power transmission line, the vibration strain signals of the line are collected in real time by using a double-grating demodulation method on the premise that the central wavelength of the grating pair is determined, the vibration frequency and amplitude are analyzed by combining a frequency domain signal analysis method, and aeolian vibration and arch swing of the power transmission line are effectively monitored. The method achieves the evaluation of the operation state of the power transmission line, avoids the use of an expensive demodulation instrument, and has the advantages of electromagnetic interference resistance, long-distance monitoring, high environmental adaptability and the like.

The utility model relates to the technical field of fiber bragg grating demodulation, in particular to a multichannel high-speed fiber bragg grating demodulation device, which comprises an optical path module and an electric signal module, the optical path module comprises a tunable laser unit, a PLC (programmable logic controller) unit and a plurality of FBG (fiber bragg grating) sensors, the PLC unit comprises an optical splitter and a plurality of couplers, the electric signal module comprises a main control unit, a photoelectric conversion unit, a DC / DC unit, a 485 communication unit and an Ethernet communication unit, optical signals emitted by the tunable laser unit pass through an optical splitter and a multi-path coupler and then enter an FBG sensor, light is reflected by a grating and then is connected to a photodiode through the coupler, and the photoelectric conversion unit is connected to the Ethernet communication unit. And after photoelectric conversion, AD conversion and peak searching algorithm processing, the optical wavelength is demodulated. According to the utility model, a chip-level data acquisition design is adopted, the scanning speed of the demodulator is improved, fusion with a field system is facilitated through the 485 communication unit, and a heterogeneous system of the master control unit and the FPGA unit is adopted, so that the edge computing capability is enhanced.

System for detecting injuries suffered by passengers in a vehicle after an accident or a strenuous situation, the system comprising: one or more FBG sensors (1) arranged on a safety belt (2; 10) of a vehicle seat (6); an FBG interrogator (7) configured to obtain strain measurements from the one or more FBG sensors (1); and a detection unit (8) configured to compute a load distribution map (9) using the strain measurements.