295 results about "Fiber sensor" patented technology

The invention relates to the technical field of distributed optical fiber acoustic sensors, in particular to a distributed optical fiber sensor vibration identification method and system, and the method comprises the steps: obtaining original data, and carrying out the preprocessing; inputting the preprocessed vibration time sequence into a Mamba model, and extracting a time domain feature vector reflecting a time evolution rule; after obtaining a time-frequency spectrogram of the preprocessed vibration time sequence, extracting to obtain a frequency domain feature vector representing different frequency components and a global association relationship thereof; inputting the time domain and frequency domain feature vectors into a time-frequency feature fusion model, and outputting a vibration event recognition result of the distributed optical fiber acoustic sensor; training the time-frequency feature fusion model, and storing the optimal model weight for prediction; and performing prediction by using the optimal model, storing a prediction result, performing verification, calculating an evaluation index, and finally performing result comparison. The invention aims to solve the problems of insufficient performance and the like of a distributed optical fiber acoustic sensing technology in the prior art.

An integrated system for detecting dam breaches, as an early warning system and for evacuation assistance, consisting of: A geoinformatics analysis module comprising a modeling processor with a graphics processing unit, configured to: analyze spatial, hydrological, and topographic data of a dam and its downstream area; generate hydrological models using probable maximum rainfall (PMP) data to determine probable maximum flood discharge (PMF); generate hydraulic models to simulate flood propagation and determine flood depth, flood extent, flow velocity, and flood arrival time; create flood vulnerability models, vulnerability models, and flood hotspot models using a multi-criteria decision-making (MCDM) framework; and generate evacuation plans for high-risk zones based on the models. A sensor monitoring subsystem includes: a distributed fiber optic sensor (DFOS) configured to monitor the structural load and deformation of a dam, and a radar level gauge configured to measure the water level in the reservoir; a microcontroller unit configured to receive and process sensor data from the sensor monitoring subsystem, to detect dam breaches based on abnormal structural movements detected by the DFOS or sudden drops in water level below predefined thresholds detected by the radar level gauge; a communication module configured to transmit warning messages when dam breaches are detected; a warning system configured to: send SMS notifications to residents in downstream high-risk zones via a GSM communication module, generate real-time alerts via an IoT platform on user devices, and activate siren systems in villages to issue loud alarms and voice announcements; and an evacuation assistance platform configured to provide real-time evacuation assistance in emergencies due to dam breaks, displaying site maps with nearby emergency shelters, evacuation routes, hospitals, government buildings and aid centers, showing hydrological layers including flood extent, water depth, flow velocity and arrival time of the water, and enabling real-time location tracking in relation to safety zones and flood-prone areas.

The invention relates to the technical field of hydraulic test of nickel alloy pipes, and discloses a hydraulic test system for a thin-wall nickel alloy pipe. According to the system, in the axial loading state of the thin-wall nickel alloy pipe, a closed water pressure cavity is established through an annular sealing clamp, and then strain distribution data on the surface of the pipe body is collected through a distributed optical fiber sensor array. And constructing a three-dimensional stress field reconstruction model based on the acquired strain distribution data, calculating an equivalent plastic deformation threshold value of the pipe body under different water pressure gradients, adjusting a water pressure loading curve slope parameter according to the equivalent plastic deformation threshold value, and generating a dynamic water pressure loading instruction. And the high-frequency pressure pulse generator executes the instruction, synchronously triggers the X-ray diffractometer to collect lattice distortion data of the tube body, inputs the data into the material microscopic damage evolution model, and outputs a microscopic defect spatial distribution map. And finally, material constitutive parameters of the three-dimensional stress field reconstruction model are corrected based on the atlas, closed-loop feedback control is formed, and multi-dimensional data acquisition and accurate management and control of the thin-wall nickel alloy pipe hydrostatic test are achieved.

The invention discloses a deep geothermal fluid cause and migration path tracing method, and relates to the technical field of earth scientific exploration, and the method specifically comprises the following steps: A1, collecting a geothermal fluid sample, A2, fusing high-precision three-dimensional seismic data, logging data and drilling data, constructing a multi-scale fracture network model, quantifying fracture connectivity and permeability anisotropy, and calculating the fracture connectivity and permeability anisotropy according to the fracture connectivity and permeability anisotropy. A3, developing a long short-term memory (LSTM) network model, inputting temperature, pressure and chemical field data monitored in real time, dynamically predicting a fluid migration path, and introducing a generative adversarial network (GAN) optimization model, and A4, deploying a distributed optical fiber sensor network. According to the sensing method for the aviation high-speed moving target, through the core-shell structure tracer agent, high fluorescence efficiency and geological compatibility are considered, a complete innovation chain is formed in the aspects of material design, detection method and environmental adaptability of the nano tracer agent, and the precision and sustainability of tracing of a migration path of deep geothermal fluid are remarkably improved.

The invention discloses an underground gas storage gas monitoring method and system based on optical fiber spectrum analysis. The method comprises the following steps: S1, optical fiber network deployment: arranging a corrosion-resistant optical fiber sensor network in a gas storage; s2, spectral data acquisition: transmitting light with a specific wavelength to a gas chamber at the tail end of an optical fiber through a Fourier transform infrared spectrometer, and acquiring a transmitted spectrum after interaction of gas and light; s3, spectrum decoupling and concentration calculation: based on a peak pattern fitting algorithm of the Lambert-Beer law, decoupling the infrared spectrum characteristics of the mixed gas, matching a standard spectrum database, and calculating the concentration of each gas component; s4, constructing a three-dimensional gas model: according to the position of the optical fiber sensor and the gas concentration data, establishing a gas migration model to predict a leakage position and a movement direction; according to the method, the trend, the component distribution, the concentration change and the potential leakage risk of the gas in the storage are effectively evaluated, and technical support is provided for the safety, the effectiveness and the economical efficiency of operation of the gas storage.

The invention belongs to the technical field of geological engineering monitoring and multi-physics field intelligent sensing, and discloses a separation grouting slurry migration monitoring method and system, and the method comprises the steps: constructing an acoustics-optics-electricity-electromagnetism multi-physics field coupling monitoring system; a grouting hole and a monitoring drilling hole array are arranged in a target stratum, a distributed optical fiber sensor, a drilling hole ultrasonic imager, a resistivity measuring device and a transient electromagnetic detection device are installed, and a three-dimensional monitoring network is formed; synchronously acquiring sound field, light field, electric field and magnetic field data; four-field monitoring data and overlying strata multi-parameter observation data are fused, a coal seam mining three-dimensional overlying strata separation model is constructed, and a slurry diffusion three-dimensional visualization model is generated through numerical simulation; and based on the four-field monitoring response difference of the separation space before and after grouting, in combination with a monitoring frequency domain correction model of multiple indexes of grout diffusion, the diffusion range, compactness and filling effect of the grouting grout are evaluated, and abnormal early warning is triggered.

The invention belongs to the technical field of side slope structures, and particularly discloses a side slope structure with an automatic stabilizing system, which comprises a side slope body, a sensing layer, a water absorption layer, a drainage layer and a control part. The sensing layer comprises a distributed optical fiber sensor and is used for collecting strain information data and temperature and humidity information data of a soil body. The water absorption layer is of a layered structure and is used for storing excessive water in pores of the soil body. The drainage layer comprises a drainage pipeline and a pump, the drainage pipeline is located at the bottom of the water absorption layer, and the pump is connected with the input end of the drainage pipeline. And the control part is used for receiving the strain information data and the temperature and humidity information data, analyzing and processing the data, and starting the pump to drain water when monitoring that the water content or the pore water pressure exceeds a set threshold value. Through multi-layer cooperative work of the sensing layer, the water absorption layer and the water drainage layer, the integrated slope stabilization scheme of multi-parameter monitoring, composite film water absorption and intelligent water drainage is achieved, and the reliability and efficiency of landslide early warning and prevention are greatly improved.

The invention relates to a winding spray pipe forming process internal temperature strain measurement method and a winding spray pipe, and the method comprises the steps: winding first winding cloth on the surface of a winding core mold, laying a grating fiber sensor between the first winding cloth to form an inner layer structure, and enabling a part of the grating fiber sensor to be located in the inner layer structure, the other part extends out of the inner layer structure; vacuumizing the inner-layer structure, then transferring the inner-layer structure into an autoclave for curing, and carrying out a conduction test on the grating optical fiber sensor; the inner layer structure is taken out of the autoclave, second winding cloth is used for winding the surface of the inner layer structure, a grating optical fiber sensor is laid between the second winding cloth, a spray pipe winding piece is formed, part of the grating optical fiber sensor is located in the second winding cloth, and the other part of the grating optical fiber sensor extends out of the second winding cloth; vacuumizing the spray pipe winding piece, then moving the spray pipe winding piece into an autoclave for curing, and performing a conduction test on the grating fiber sensor; and the spray pipe winding piece is taken out of the autoclave for demolding.

The invention discloses a PICC (Peripherally Inserted Central Catheter) tip precise navigation fixing method and system based on electrocardiogram real-time positioning. High-precision positioning and safe fixing of a catheter tip are realized through a multi-modal data fusion and deep learning technology. The method comprises the following steps: collecting intracavity electrocardiosignals (ECG) in real time through a catheter built-in electrode, and obtaining blood vessel wall contact pressure and temperature data in combination with an optical fiber sensor; an improved wavelet threshold algorithm is adopted to dynamically suppress motion artifacts, and P-wave features are enhanced; the preprocessed ECG signals are input into a spatial-temporal feature fused Transformer model, a time attention layer is used for analyzing P-wave time sequence changes, a space attention layer integrates multi-lead space distribution features, and the positioning precision is optimized in combination with preoperative blood vessel anatomical data; the ECG positioning result and the optical fiber sensing data are fused through Kalman filtering, three-dimensional position information of the tip end of the catheter is generated, and real-time navigation is conducted on an augmented reality interface; and when the P wave amplitude reaches a CAJ threshold value, the contact pressure is safe and no abnormal temperature exists, a shape memory alloy (SMA) fixing ring is triggered to contract, and accurate fixing is achieved. The method solves the problems that a traditional method depends on X rays and is poor in anti-interference performance, has the advantages of being free of radiation, high in real-time performance and adaptive to blood vessel deformation, and is suitable for clinical P catheter implantation.

The embodiment of the invention discloses a refrigerator bacterium detection method and system based on an optical fiber ATP sensor, and the method comprises the steps: mixing a sample in a to-be-detected area of a refrigerator with a reaction reagent to form a to-be-detected solution, injecting the to-be-detected solution into a microfluidic reaction tank of the optical fiber ATP sensor, enabling an ATP component and an enzyme reagent to generate a chemiluminescence reaction, and enabling an optical signal to enter a transmission optical fiber through focusing coupling; the optical signal is transmitted to a photoelectric detection unit through a transmission optical fiber to be converted into an electric signal, and the electric signal contains response dynamic information; carrying out multi-stage processing on the electric signal, and extracting a signal characteristic parameter representing the concentration of the ATP component; and finally, performing matching analysis on the signal characteristic parameters and preset data, determining an ATP component content value, querying corresponding relation data to generate a detection result containing bacteria quantity information, and outputting the detection result to a refrigerator matched display device in a visual form. The problems of long detection time, complicated operation, inconvenience in equipment, difficulty in in-situ real-time monitoring and the like in the existing refrigerator bacterium detection technology can be solved.

A method and system for monitoring structural deterioration of a reservoir rock mass under a long-time high-temperature condition, and a product are provided. The method includes: arranging ultrasonic transducers and fiber optic extrinsic Fabry-Perot interferometric (EFPI) sensors in a loading briquette; loading ultrasonic waves on a rock mass sample with the ultrasonic transducers; monitoring ultrasonic and acoustic emission signals at the rock mass sample with the fiber optic EFPI sensors; inverting a velocity model indicating a change of a wave velocity inside the rock mass sample over time by fast marching acoustic emission tomography using standard optimization (FaATSO) according to the ultrasonic and acoustic emission signals; and conducting joint inversion by a fast-marching method according to the velocity model, the acoustic emission signals, and observation data to determine a position of rock mass fracturing in the rock mass sample.

The invention discloses a detection system for water level data and geological data of a weakly cemented coal seam, and belongs to the technical field of mine safety monitoring. Comprising a hardware layer and an algorithm layer, the hardware layer constructs a water surface-water body-water bottom three-in-one dynamic monitoring system, and the algorithm layer fuses multi-source data through a physical information neural network to realize global water bottom DEM inversion and dynamic early warning. And the physical information neural network inverts the global underwater DEM in a data driving item and physical driving item joint optimization mode by performing space-time alignment on the sonar point cloud, the unmanned aerial vehicle water level data and the optical fiber strain gradient and then performing weighted fusion. Sonar, optical fiber and water level data are fused through a PINN model, the crack recognition capacity is improved, and the side-scan sonar can detect cracks with the width larger than or equal to 2 cm; second-level data acquisition is achieved through the optical fiber sensor, the water inrush early warning response time is shortened, the response speed is increased, and the sonar sounding error is still controlled within 5 cm. The system robustness is increased, and the double-ring optical fiber network reduces the single-point fault influence range.

The invention discloses an oil and gas pipeline sand content test sound wave optical fiber sensor, and particularly relates to the technical field of sensors, which comprises a rare earth doped silicon dioxide optical waveguide sheet, a vibration transduction structure, a phase shift waveguide grating and a phase shift wave. The device further comprises a photoelectric converter, a signal amplifier, a filter, a fragrance clamping filter and a vibration signal detector. The rare earth doped silicon dioxide waveguide sheet is located on the vibration transduction structure, and the phase shift waveguide grating is inscribed in the rare earth doped silicon dioxide waveguide sheet. The micro-vibration optical chip sensor based on the photoacoustic spectrum is simple and firm in structure, easy to manufacture and convenient to integrate with other systems, and the problem of integration of a traditional optical fiber distributed sensing system can be effectively solved.

The utility model discloses a rubber dredging pipe with high stability, which comprises a pipe part main body, and the pipe part main body is provided with a rubber lining layer, a woven carbon fiber layer and a coated outer rubber layer; the multiple sections of reinforcing rings are arranged on the outer circle of the pipe part main body, each reinforcing ring is provided with a protruding pile head part, each pile head part is provided with an inner cavity leading to the wall face of the pipe part main body, and the inner cavities are used for installing optical fiber sensors and monitoring stress, temperature and deformation parameters of the pipe part main body; and the radian fins are arranged on the surface of the pipe part main body and are spaced from the reinforcing ring. The pipe part main body of the dredging pipe is formed by the rubber lining layer, the carbon fiber layer and the outer rubber layer, so that the dredging pipe is good in wear resistance and pressure resistance. The reinforcing ring improves the strength of the pipe part main body, and the pile head part can accommodate and install an optical fiber sensor, so that real-time monitoring of the dredging pipe is realized. The radian fins are distributed on the surface of the pipe part body, guiding can be improved, direct pressure caused by impact of water flow and sediment is reduced, and internal flow resistance is prevented from being affected.

This invention proposes a tapered fiber optic hydrogen sensor and its fabrication method, belonging to the field of hydrogen sensors. The sensor includes a tapered section in the middle of an optical fiber; a sensing element tightly fitted around the tapered section; a light source inputting an optical signal into the optical fiber; a spectrometer measuring the position of characteristic peaks in the optical fiber's spectrum; and a three-layer thin-film structure comprising the sensing element from the inside out: an excitation layer that excites the optical fiber surface to generate a plasmon resonance effect; a reaction layer made of a gas-sensitive material that reacts with hydrogen; and a catalytic layer that catalyzes the reaction between the gas-sensitive material and hydrogen. This invention employs a tapering method to fabricate the fiber optic sensor, significantly improving its sensitivity. Using tungsten oxide and gold co-sputtering material as the gas-sensitive material greatly improves the response and recovery times compared to using only tungsten oxide.

The invention relates to a rail train wheel polygon detection system and a control method thereof, the system comprises a graphene optical fiber sensor array module, a data acquisition module, a data processing module and a wheel polygon order display module, the graphene optical fiber sensor array module is arranged at the bottom of a steel rail; the sensor is used for sensing rail pressure change of a steel rail and generating optical signals; the data acquisition module is used for acquiring an optical signal output by the graphene optical fiber sensor array module and converting the optical signal into an electric signal; the data processing module is used for analyzing the electric signal through a signal processing algorithm and deducing to obtain a wheel polygon order; and the wheel polygon order display module is used for receiving the wheel polygon order from the data processing module and carrying out visualization processing on the wheel polygon order. Compared with the prior art, the method can achieve the high-precision measurement of the polygon order of the wheel, improves the precision of a measurement system, gives an alarm when the order is abnormal, and guarantees the operation safety of a train.

A heat exchanger and method for operating a heat exchanger. The heat exchanger, in particular a high-pressure heat exchanger for urea synthesis, includes multiple heat-transfer tubes for transporting a first fluid in order to transfer heat between the first fluid and a second fluid via the heat-transfer tubes. In order to improve a usability, a fiber-optic sensor is respectively arranged on one or more of the heat-transfer tubes. The fiber-optic sensor is designed to interferometrically ascertain an elastic oscillation, in particular a natural oscillation, of the respective heat-transfer tube during operation of the heat exchanger, in order to determine a tube wall thickness of the respective heat-transfer tube during operation of the heat exchanger.

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 belongs to the technical field of power transmission line tower foundation monitoring, particularly relates to a tower foundation stress state early warning system and method, and aims at solving the problems that a traditional tower foundation monitoring method is insufficient in real-time performance, limited in monitoring precision and the like. The system utilizes the FBG optical fiber sensor on the FRP anchor rod to realize high-precision real-time monitoring of various parameters such as stress, vibration and deformation of a tower foundation structure. Through the state signal mode recognition module, the tower foundation damage diagnosis module and the tower foundation instability hidden danger early warning module, the system can recognize the state mode of the tower foundation, determine the damage judgment result and conduct stability study and judgment, and therefore timely early warning information is provided. Scientific decision support and a multi-source information fusion judgment mode are provided for operation and maintenance personnel, and the accuracy and reliability of system judgment are improved. Compared with the prior art, the method has higher monitoring precision and real-time performance, and provides powerful guarantee for safe operation of a power system.

The invention relates to a psychological health assessment method and equipment based on an optical fiber sensor and a storage medium. The method comprises the following steps: acquiring an original physiological signal of a person to be detected through an optical fiber sensor, and performing data preprocessing on the original physiological signal to obtain a preprocessed signal; constructing a transfer learning model, and obtaining a public physiological signal data set to train the transfer learning model to obtain an evaluation model; performing physiological signal feature extraction on the preprocessed signals, performing series fusion on the extracted features of the physiological signals to form a multi-modal feature vector, and inputting the multi-modal feature vector into the evaluation model to obtain a classification probability output result; and generating a mental health assessment report according to the classification probability output result. A complete, efficient and accurate quantitative evaluation system for anxiety depression, emotion stress, fatigue level and pressure sensitivity can be constructed, and high-precision and real-time monitoring and evaluation of the mental health state are achieved.

The invention relates to the technical field of photovoltaic supports, in particular to a mountain flexible photovoltaic support cable force monitoring assembly, a monitoring system and a use method. A mountain flexible photovoltaic support cable force monitoring assembly comprises a bearing cable suitable for being connected with a photovoltaic panel of a photovoltaic support; the grating optical fiber sensor is arranged on the bearing cable, and the grating optical fiber sensor is used for sensing the deformation of the bearing cable; and the controller is in line connection with the grating optical fiber sensor, and the controller is used for monitoring the stress state of the bearing cable in real time. The invention aims to solve the technical problem that a flexible photovoltaic support system in the prior art is often constructed according to design requirements during construction, but after construction is completed, monitoring on the stress state of a bearing cable is neglected, and potential safety hazards are likely to be left.

The invention relates to the technical field of transformer regulation, and particularly discloses an on-load tap-changing transformer voltage monitoring method and system fused with optical fiber sensing, and the method comprises the steps: obtaining multi-mode monitoring data outputted by an optical fiber sensor, the multi-modal monitoring data comprises voltage fluctuation waveform data, vibration spectrum data, temperature distribution data and a load current change rate; acquiring real-time power grid disturbance data according to the voltage fluctuation waveform data; acquiring mechanical resonance phase data according to the vibration spectrum data; and establishing a winding hot-spot temperature change gradient according to the temperature distribution data, and generating a temperature-load correlation coefficient according to the winding hot-spot temperature change gradient. According to the invention, through multi-mode monitoring data acquisition, the operation state of the transformer is comprehensively mastered, the problem of single traditional monitoring data is solved, and cognition of the overall condition of the transformer is improved.

The invention discloses a self-adaptive regulation and control method for differential settlement of a new roadbed and an old roadbed in old road widening, belongs to the technical field of road engineering, and solves the technical problems of longitudinal cracks, slab staggering and other diseases caused by differential settlement of a new roadbed and old roadbed combined part in old road widening engineering. According to the key points of the technical scheme, the method comprises the following steps: vertically excavating a groove with the depth of 1.4-1.6 m and the width of 0.8-1.0 m at the junction of an old roadbed and a new roadbed; backfilling 5-20mm graded broken stones layer by layer, and tamping until the compaction degree is 96%; a bidirectional geogrid with the tensile strength of 80 kN / m is laid; a cement macadam transition layer with the thickness of 0.3-0.6 m is arranged, and a 2% drainage slope is formed; a settlement monitoring pipe is buried, real-time monitoring is conducted through an optical fiber sensor, and when the settlement difference exceeds 15 mm, automatic grouting is adjusted and controlled to be smaller than 5 mm. The method is mainly used for accurately controlling differential settlement of new and old roadbeds and improving the road stability and the service life.

The invention relates to the technical field of semiconductors, in particular to an end effector for a semiconductor wafer conveying manipulator. The tail end executor mainly comprises a tail end executor main body, a plurality of gas path adsorption modules with a negative pressure value independent control function and a control module. According to the invention, by arranging the plurality of gas path adsorption modules with the function of independently controlling the negative pressure value, multiple adsorption modes can be realized to adapt to the warping forms of different areas of the wafer; through the synergistic effect of the gas path adsorption module, the sensor array and the control module, according to the gap value between the target area and the end effector main body collected by the optical fiber sensor, the warping area of the wafer is automatically predicted and positioned through a machine learning classification model, and a negative pressure dynamic adjustment strategy is combined to adjust the warping area of the wafer. Therefore, differential adsorption force adjustment of different warping areas of the wafer is achieved, the response speed and adaptability of the end effector of the wafer conveying mechanical arm are remarkably improved, and the stability and reliability of wafer adsorption are effectively improved.

The invention discloses an optical fiber sensor high-speed demodulation device based on a cascaded Mach-Zehnder interferometer, which adopts a two-stage cascaded Mach-Zehnder interferometer structure, and obtains four-channel output with equal central wavelength intervals by accurately aligning two-stage central wavelengths. And the four-channel signal is utilized to carry out orthogonal demultiplexing on a spectral signal of the optical fiber sensor. In a digital domain, an orthogonal demodulation algorithm for phase demodulation of an optical fiber sensor is provided, and the demodulation speed is only limited by a digital sampling rate. Compared with a traditional spectrum demodulation algorithm, the scheme has the advantages of being high in demodulation speed, wide in working frequency band, easy to implement and the like.

The invention relates to a fiber bragg grating-based bearing micro-friction torque test platform, which comprises a test bench, a driving shaft and a friction torque test device, the driving shaft and the friction torque test device are arranged on the test bench, the friction torque test device comprises a connecting beam, a fiber bragg grating sensor and a lever, and the friction torque is tested through the cooperation of the lever, a sucker and the connecting beam. A high-precision and real-time measurement and evaluation scheme can be provided for friction torque measurement of the bearing, the limitation of a traditional electric measurement torque sensor in tiny torque measurement is overcome by utilizing the characteristics of high sensitivity, wide range and electromagnetic interference resistance of the optical fiber sensor, the friction torque can be accurately measured by using the test platform, and the measurement accuracy is improved. The device is especially suitable for measuring micro friction torque, and has the advantages of high precision, interference resistance, strong real-time performance, convenient use and the like.

The invention relates to a borborygmus detection system, belongs to the technical field of borborygmus detection, and solves the problem of inaccurate borborygmus recognition in the prior art. The system comprises a signal acquisition device which comprises a laser, a distributed optical fiber sensor and a collector; the laser is used for periodically emitting laser to the distributed optical fiber sensor; the collector is used for collecting a signal returned by the optical fiber sensor and sending the signal to the borborygmus resolving module; the borborygmus resolving module is used for resolving the acquired signal based on the optical frequency domain reflection, judging whether borborygmus occurs or not, and if so, determining the generation position of the borborygmus and extracting a borborygmus signal; and the borborygmus classification module is used for obtaining the borborygmus type of the individual based on a trained borborygmus classification model according to the generation position of the borborygmus and the borborygmus signal. Therefore, the borborygmus can be accurately identified.

The application discloses a preparation method of a samarium trioxide doped lead zirconate titanate lead niobate piezoelectric fiber sensor. The application first prepares samarium trioxide doped lead zirconate titanate lead niobate ceramic; the ceramic is ground into powder and added into a sodium alginate solution, sodium dodecyl sulfate and citric acid are sequentially added, excessive water is added into the solution to obtain a low-viscosity slurry; then ball milling is carried out to break the agglomerates and obtain a uniform suspension, finally the slurry is injected into a CaCl2 solution to obtain a fiber, and the fiber is dried at room temperature and then calcined for the third time. The application precisely controls the molar ratio of raw materials, the reaction temperature, the reaction time and the doping ratio, guarantees the high-quality preparation of PNN-PZT / x Sm2O3 ceramic and fiberized piezoelectric ceramic, and makes the prepared piezoelectric fiber sensor have excellent piezoelectric performance and can more sensitively detect external signals.

The invention relates to the technical field of bionic electronic skin and flexible sensing materials, in particular to an AF / rGO fiber tactile system and method.The AF / rGO fiber tactile system and method.The AF / rGO fiber tactile system and method are specifically characterized in that aramid 1414 fibers are adopted as a base material, subjected to ultrasonic cleaning and then repeatedly soaked in a graphene oxide solution, a graphene oxide coating is loaded on the surface of the aramid 1414 fibers, and the AF / rGO fiber tactile system is obtained; reducing into a graphene oxide coating by utilizing steam reduction, and performing hot pressing synergism to prepare an AF / rGO fiber sensor; the piezoresistive and thermosensitive effects of the fiber are utilized, the fiber serves as a core material of the sensor and is connected with two electrodes to be assembled into the sensor, mechanical and temperature stimulation is converted into resistance signal change, and the pressure and temperature sensing capacity of the skin is simulated through multi-mode fusion and signal processing. Based on the contact resistance dynamic response of the micro-scale structure, combining a neural network algorithm to realize fabric recognition and gesture recognition; and meanwhile, fire early warning is triggered through temperature resistance signal change by utilizing the flame-retardant characteristic of the aramid fiber substrate.

The present application relates to the technical field of distributed optical fiber acoustic sensor, and particularly relates to a distributed optical fiber sensor vibration identification method and system, comprising obtaining original data and preprocessing; inputting the preprocessed vibration time sequence into a Mamba model to extract a time domain feature vector reflecting the time evolution law; obtaining a time-frequency spectrum of the preprocessed vibration time sequence to extract a frequency domain feature vector representing different frequency components and their global correlation; inputting the time domain and frequency domain feature vectors into a time-frequency feature fusion model to output a vibration event identification result of the distributed optical fiber acoustic sensor; training the time-frequency feature fusion model, saving the optimal model weight for prediction; using the optimal model for prediction, saving the prediction result, verifying, calculating the evaluation index, and finally comparing the results. The present application aims to solve the problems of insufficient performance of the prior art distributed optical fiber acoustic sensing technology.