60 results about "Resonance spectrum" patented technology

The invention relates to the technical field of quantum sensing, and discloses a quantum magnetometer device based on diamond NV color center photoelectric detection magnetic resonance. Wherein the optical path module performs optical excitation and imaging positioning on a diamond sample through a laser and an objective lens. The circuit module integrates a microwave source, a lock-in amplifier, a low-noise current amplifier and a programmable power supply, applies a microwave field and bias voltage to a microwave antenna and an interdigital electrode on the surface of a sample respectively, and collects sample dependency photocurrent signals. And the operation module realizes automatic control and data processing of the system. According to the device, NV color center spin state information is converted into a photocurrent signal through a photoelectric detection magnetic resonance mechanism, an amplitude or frequency modulated signal is demodulated by using a lock-in amplification technology, information of a detection magnetic field is obtained through a high signal-to-noise ratio photoelectric detection magnetic resonance spectrum, and the sensitivity of the magnetic field is evaluated. Magnetic resonance signals are detected in an all-electricity mode, a complex optical system of traditional fluorescence detection is simplified, and the device has the advantages of being compact in structure, easy to integrate, high in measurement sensitivity and the like.

The invention provides a denoising method for a magnetic resonance spectrum based on Transform, and relates to the technical field of signal processing and artificial intelligence, and the method comprises the steps: firstly obtaining a noisy free induction decay signal (FID) and a corresponding label signal, constructing a training data set, converting the signal into a frequency domain signal through fast Fourier transform, and carrying out the amplitude normalization; a real part and an imaginary part of a frequency domain signal are respectively projected to a high-dimensional feature space, and are respectively sent to a multi-head self-attention mechanism-based multi-layer Transform encoder through two channels, so as to capture the global correlation of a long sequence. And the coded output is separated and decoded, a real part and an imaginary part are recovered respectively, and a denoised complex frequency domain signal is obtained through combination. In the training process, a complex mean square error is used as a loss function, and dynamic learning rate scheduling and an early stop mechanism are combined to improve convergence stability and model training efficiency.

The invention discloses a method for realizing a multi-polarization high-numerical aperture Laplace differentiator based on a metasurface, and belongs to the technical field of micro-nano photonics, optical simulation calculation and light field regulation and control. The single-layer metasurface is composed of a cylindrical array which is made of an amorphous silicon material and has a hexagonal lattice period. Geometric parameters of a silicon cylinder are designed and selected, so that the metasurface excites resonance spectrums with large-angle dispersion capability under illumination of p polarized light and s polarized light in the same working wavelength range, and an optical transfer function required by optical Laplacian differential operation with broadband and high numerical aperture is realized in a real airspace; and Laplacian operation can be executed under non-polarized light and non-coherent light conditions. And generating a processing file of the corresponding metasurface according to the determined geometric dimension of the silicon cylinder unit. And processing the dielectric metasurface by adopting a micro-nano processing technology of electron beam etching. In a working wave band, the metasurface can directly obtain two-dimensional second-order edge contour information of a target image under various illumination conditions.

The invention relates to the technical field of flexible mechanical arm driving control, and discloses a flexible mechanical arm multi-section precise driving method based on nickel-titanium memory alloy wires, which comprises the following steps: generating structural modal resonance by using a first nickel-titanium memory alloy wire to construct an information medium, and picking up a response signal by using a second nickel-titanium memory alloy wire; the method comprises the following steps of: acquiring a response signal from an intrinsic state, performing transient characteristic analysis on a resonance spectrum of the response signal to distinguish whether resonance change is caused by intrinsic state change or external environment contact, and finally realizing self-adaptive switching of a control mode. The intrinsic physical state of the driving element is converted into the structural resonant frequency capable of being stably measured, so that the basis of closed-loop control is converted into an internal real-time physical state from an external lagged motion result, and therefore, the problems of control nonlinearity and lagging caused by the unknown state are solved.

The invention discloses a file semantic similarity calculation method based on an improved DeBERTa model, and the method comprises the steps: dividing a file according to a structure, marking role labels, completing the denoising and coding, and generating a hierarchical input sequence; encoding an input sequence through an improved DeBERTa model, and outputting a multi-level semantic vector and a structure semantic representation; constructing a semantic energy resonance diagram, calculating energy conduction and coupling strength between hierarchies, and generating resonance spectrum characteristics; performing statistics on multi-level energy distribution and resonance intensity to form an energy spectrum feature vector for describing structural stability; constructing a semantic field curvature function, mapping energy and semantic representation to a unified space, and obtaining alignment representation; and fusing the energy spectrum characteristics with the semantic alignment representation, calculating comprehensive semantic similarity and outputting a final result. According to the method, a DeBERTa model is improved, and a semantic energy resonance and curvature self-alignment mechanism is introduced, so that high-precision calculation of the semantic similarity of the long text is realized.

A system and a method for non-destructive characterizations of objects using Laser Acoustic Resonance Spectroscopy (LARS)-based diagnostic techniques are provided. The system includes using a laser doppler vibrometer to measure vibrational responses of objects. The method includes measuring vibrational frequency responses of a first object and a second object, performing a spectra analysis of the vibrational frequency responses, determining a frequency shift based on the spectra analysis, and indicating a difference between the first object and the second object or a presence of a defect in the second object if the determined frequency shift exceeds a predefined threshold value. The difference between the first object and the second object may indicate the presence of a void, a crack, or a plurality of pores in the second object, or can be used for validating or authenticating the second object as a defective or counterfeit item, in various embodiments.

The invention discloses a surface plasmon resonance (SPR) hydrogen sensor based on an Ag / PDMS / Pt-WO3 multilayer structure. The SPR hydrogen sensor is characterized by comprising a halogen lamp light source, two sections of multimode optical fibers, a spectrometer and an SPR hydrogen sensing head, wherein the SPR hydrogen sensing head is composed of a different-core structure formed by multimode-single-mode-multimode optical fibers, a silver film, PDMS (polydimethylsiloxane) and Pt-WO3 (platinum-tungsten trioxide). The SPR hydrogen sensor based on the Ag / PDMS / Pt-WO3 multi-layer structure, which is simple to prepare, high in sensitivity and capable of being repeatedly used for a long time, is provided aiming at the defects that an existing optical fiber SPR hydrogen sensor is low in sensitivity and complex in device manufacturing, and PdH is changed from an alpha phase to a beta phase when Pd is used as a hydrogen sensitive material, so that the use of the device is influenced, and the like. When the hydrogen concentration is increased, the Pt-WO3 reacts with the hydrogen to generate heat, so that the refractive index of the PDMS film is changed, the SPR resonance spectrum is moved, and the hydrogen concentration is obtained by observing the offset of the PDMS film. The high refractive index sensitivity of SPR is brought into full play by utilizing the high refractive index change of PDMS, so that high-precision detection of hydrogen leakage is realized.

The application discloses a kind of based on magnetic resonance spectrum half-width's magnetic nano particle mass concentration calculation method, belong to magnetic nano material testing technical field, the application with magnetic nano particle induces local magnetic field inhomogeneity and causes magnetic resonance spectrum to produce change as medium, the relationship between the mass concentration of magnetic nano particle and magnetic resonance spectrum half-width is established, since the saturation magnetization intensity of single magnetic nano particle is fixed, so the change of the mass concentration of magnetic nano particle is essentially the change of the number of magnetic nano particle, mass concentration and magnetic resonance spectrum half-width have linear relationship, the change of magnetic nano particle mass concentration can be reflected by measuring magnetic resonance spectrum half-width, realize the measurement of magnetic nano particle mass concentration.

The application discloses a kind of multi-dimensional data intelligent matching method and system, including the following steps: collection multi-source heterogeneous data set, and execute pre-processing;Perform feature extraction, and calculate the correlation strength between features, generate feature weight matrix;Calculate structural similarity, semantic similarity and statistical similarity, and execute weighted fusion according to feature weight matrix;Nonlinear resonance optimization is executed, and stable semantic resonance spectrum is obtained;Establish reinforcement learning matching strategy network, and train matching strategy network;Match strategy network is used after training in stable semantic resonance spectrum Dynamic matching decision is executed, and matching result set is generated.The application fuses semantic resonance spectrum and reinforcement learning method, realizes the intelligent matching of multi-dimensional heterogeneous data, with the advantages of high precision, strong self-adaptation and stability.

The application discloses a two-dimensional magnetic field imaging method based on diamond NV color centers, comprising the following steps: generating a rough scanning path according to a region to be measured, controlling a displacement scanning unit to drive a diamond NV color center detection unit to move point by point, locking and triggering collection after reaching a position; obtaining the light detection magnetic resonance spectrum of each measuring point through light excitation and microwave sweep, and calculating the magnetic field information; identifying an abnormal region according to the rough scanning result and generating a fine scanning path, and performing fine scanning on the abnormal region; periodically returning to a reference point to collect a reference spectrum line during the scanning process, and compensating for the drift of the current batch of measuring points, and finally matching the compensated magnetic field information with coordinate information to generate a two-dimensional magnetic field distribution map. The application can improve the positioning accuracy, measurement stability and imaging reliability of two-dimensional magnetic field imaging.

The invention relates to the technical field of industrial safety, in particular to a coal mine operation scene anomaly detection method and system based on a causal wavelet resonance network. The method comprises the following steps: acquiring multi-modal sensing data and constructing a high-dimensional spatial-temporal characteristic field; performing transformation processing on the high-dimensional spatial-temporal characteristic field by adopting a causal wavelet resonance network, and extracting a real-time causal resonance spectrum; calling a baseline, a spectrum and a covariance matrix thereof which are learned in advance, calculating mahalanobis distances between the baseline and the real-time causal resonance spectrum and between the spectrum and the real-time causal resonance spectrum, and generating a space-time detuning diagram; and judging whether the detuning value of each time-space position in the time-space detuning diagram exceeds a preset threshold, if so, determining that the time-space position is abnormal, analyzing the causal wavelet type and parameter which contribute to detuning to the greatest extent, and generating alarm information capable of explaining abnormity, thereby improving the abnormity detection precision and improving the detection accuracy. And high-sensitivity sensing and interpretability judgment can be carried out on weak and unknown abnormal sprouts containing causal logic.

The invention relates to the technical field of microscopic imaging, and particularly provides a stimulated Raman scattering microscopic imaging system capable of simultaneously scanning double Raman frequency shift spectrums, which comprises a laser light source driving and modulating unit and a signal detecting and data processing unit, the laser light source driving and modulating unit comprises a dual-channel laser synchronous excitation module, a light beam polarization regulation and power distribution module, a pulse broadening and spectrum focusing module, a dual-channel dual-phase modulation module, a common-path different-time dual-frequency difference module and a laser scanning and telecentric focusing module; and the signal detection and data processing unit comprises a dual-channel orthogonal demodulation module and a scanning driving and signal synchronous acquisition module. Compared with the prior art, the dual-Raman frequency shift spectrum scanning stimulated Raman microimaging device has the advantages that dual-Raman frequency shift spectrum scanning stimulated Raman microimaging with higher acquisition speed, high resolution and wide spectrum coverage range is realized, and the problem of long time consumption for acquiring the complete spectrum of the to-be-tested sample by the traditional single-frequency resonance spectrum scanning stimulated Raman microimaging is solved.

The present application relates to the technical fields of mechanical engineering, and proposes a hoist head sheave operation parameter adjustment method and system based on radial runout compensation, which comprises: collecting radial runout displacement signals and steel wire rope tension signals of the head sheave in real time by using a multi-dimensional sensor array; performing empirical mode decomposition on the radial runout displacement signals to decouple low-frequency eccentric components and high-frequency deformation components of the head sheave; calculating a dynamic load change rate of the head sheave to nonlinearly correct the low-frequency eccentric components and generate a rotational speed adjustment parameter of the head sheave; generating a resonance spectrum of the head sheave, calculating a similarity between the resonance spectrum and a preset standard health spectrum, identifying a resonance main frequency band of the high-frequency deformation components when the similarity is lower than a preset similarity threshold, determining a damping stiffness adjustment parameter of a head sheave bearing seat, and combining the rotational speed adjustment parameter and the damping stiffness adjustment parameter to perform adaptive adjustment on the head sheave. The present application can improve the operation stability of the head sheave system.

The invention relates to the technical field of measurement of physical properties of chemical substances, and particularly discloses an automotive urea density rapid measurement system which comprises a vibration tube type density sensing unit, a multi-mode cooperative driving and signal processing unit, an embedded real-time calculation and compensation unit and a system control and communication interface unit. Wherein the multi-mode cooperative driving and signal processing unit excites a plurality of vibration modes at the same time based on a pre-stored resonance spectrum, and a density initial value is rapidly solved by analyzing frequency deviation of the vibration modes; and the embedded real-time calculation and compensation unit performs multi-physical field real-time compensation of temperature, viscosity and the like on the initial density value by using a neural network model. According to the invention, millisecond-level rapid density measurement and high-precision output are realized, and the real-time regulation and control requirements of the SCR system are met.

A method for time-resolved pump-probe resonance spectroscopy, comprising the steps of:-exposing a sample (4) to a radio frequency pump pulse (20), where the radio frequency pump pulse (20) drives a resonance, where the resonance is electron spin resonance and / or nuclear magnetic resonance, where the sample (4) is located within a magnetic bias field (22); -detecting the sample (4) with an electron detection beam (7) from the electron source (6); detecting a detection beam characteristic of the electron detection beam (7) by means of a detector unit (8), the detection beam characteristic being dependent on a magnetic moment (25) of the sample (4), the magnetic moment (25) being dependent on the driven resonance, the detector unit (8) being configured to detect the detection beam characteristic of the electron detection beam (7) at a temporal resolution for time-resolved detection of the driven resonance; and determining a property of the resonance, in particular a state of the resonance, preferably a change in the state of the resonance, on the basis of the detected probe beam property.

The invention discloses a Hankel singular value decomposition-based magnetic resonance spectrum water peak modeling and post-processing method. The method comprises the following steps of: acquiring original multi-channel FID (Flame Ionization Detector) signals by a PRESS sequence; combining multi-channel signals, and performing frequency correction and eddy current correction; reconstructing and deducting a time domain water peak model, and executing exponential filtering processing; and performing baseline correction by adopting an asymmetric least square method to obtain a final spectrogram. Accurate modeling and removal of residual water peaks are realized by utilizing Hankel structure matrix singular value decomposition, adaptive baseline correction is performed by introducing an asymmetric least square method, interference of the residual water peaks is effectively reduced, the baseline smoothness of a spectrogram and the distinguishability of metabolic peaks are improved, and the method can be used for realizing accurate modeling and removal of the residual water peaks under the condition of not depending on additional modulation of a collection end or increasing of sequence complexity. The time domain signals are subjected to structured matrix decomposition to realize accurate modeling and removal of residual water peaks, the signal-to-noise ratio and metabolic peak resolution of the spectrogram are remarkably improved, the operation is stable, the robustness is high, and the obtained final MRS spectrogram can meet clinical requirements.

The invention relates to the technical field of material test and analysis, in particular to a duct grouting fullness analysis method and system. According to the analysis method, broadband excitation is applied to the duct grouting component, so that the excitation frequency band covers the natural vibration frequency of the hole defect of the duct grouting component, and then resonance of the hole defect is caused. The pore grouting fullness is detected by directly detecting resonance wave signals emitted by cavity defect resonance. According to the method, a cavity defect is directly used as a seismic source to directly detect a resonance signal excited to the surface of a component by the cavity defect; compared with a traditional impact echo method which takes an impact hammer as a seismic source and detects echo signals reflected after impact waves are excited from the surface of a component and encounter internal cavity defects, the method has the advantages that the propagation path for detecting resonance signals is only half of the propagation path for detecting impact echoes, the resonance signal attenuation is small, the detection depth is larger, interference is smaller, and the detection accuracy is higher. The accuracy of the obtained resonance spectrum is higher, and finally the accuracy of channel grouting fullness analysis is improved.

The invention discloses a lithium battery slurry magnetic foreign matter on-line monitoring method based on high-frequency resonance spectrum shooting, and belongs to the technical field of lithium ion battery slurry detection.The lithium ion battery slurry magnetic foreign matter on-line monitoring method comprises the steps that firstly, a magnetic focusing resonance sensing area is constructed, broadband excitation is applied, a background impedance spectrum is obtained, and multi-characteristic parameters are monitored and extracted in real time; the flow velocity of particles is measured, normalization processing is carried out on signal waveforms, foreign matter recognition is achieved through multi-feature fusion inversion, and statistics and output can be selectively carried out. According to the invention, a magnetic focusing resonance structure is adopted to improve the signal-to-noise ratio, interference is distinguished through double-feature collaborative analysis, the flow velocity influence is eliminated by using a double-sensing-area layout, full-flow, real-time, online and accurate monitoring of ferromagnetic foreign matters of more than 25 microns in the lithium battery slurry is realized, and the device can be expanded to be applied to metal pollutant monitoring of various fluids with high cleanliness requirements. The method has important industrial application value.

The application provides a magnetic resonance spectrum reconstruction method based on a local signal block structured low-rank matrix, and relates to magnetic resonance spectrum, and comprises the following steps: 1) establishing a magnetic resonance spectrum reconstruction model based on a local signal block structured matrix; 2) establishing a reconstruction model of an improved reconstruction model without singular value decomposition; 3) establishing a solution algorithm of the improved reconstruction model without singular value decomposition; and 4) performing two-dimensional Fourier transform on the obtained reconstructed time domain signal to obtain a final magnetic resonance spectrum. According to the technical scheme, a small-scale structured matrix is constructed by using a local signal block to replace a large-scale structured matrix, so that the reconstruction calculation speed is accelerated, and the required internal memory for reconstruction is reduced.

A method for determining a parameter of an optical device including a first waveguide and a resonator is provided. The method includes coupling an optical signal from a first waveguide to a resonator. The resonator includes a first P / N junction configured to modulate a resonant frequency of the resonator until the optical signal resonates in the resonator and a ring waveguide. The method further includes detecting a resonance spectrum of the optical signal from the through port of the first waveguide and determining a parameter of the optical device based on the resonance spectrum of the optical signal.

The invention relates to a magnetic resonance spectrum reconstruction method based on a structured matrix null space, and belongs to the field of undersampling and reconstruction of magnetic resonance spectrums. The method comprises the following steps: acquiring calibration data from a full sampling region of a non-uniform sampling time-domain magnetic resonance spectrum signal to be reconstructed; rearranging and constructing a structured matrix on the calibration data through a sliding window; calculating a null space based on singular value decomposition of the structured matrix; constructing a magnetic resonance spectrum reconstruction model containing a data consistency item and a null space constraint item; and solving a signal to be reconstructed by adopting a conjugate gradient method. According to the method, the null-space constraint relation is constructed by using the low-rank characteristic of the time-domain magnetic resonance spectrum signal under the structured matrix, so that rapid and high-precision magnetic resonance spectrum reconstruction is realized at a low sampling rate. The method is excellent in effect and can be applied to one-dimensional, two-dimensional and higher-dimensional undersampled magnetic resonance spectrum reconstruction.

A magnetic property measurement device for a soft magnetic material includes a measurement sample magnetic field application mechanism, a diamond NVC sensor, a laser light irradiation mechanism, a microwave irradiation mechanism, an optically detected magnetic resonance spectrum measurement mechanism, and a control and data analysis mechanism, the control and data analysis mechanism is configured to execute a measurement condition input step, a magnetic property measurement step, and a data analysis step, the measurement condition includes a range of an external magnetic field H0, a magnetic permeability μsmp of a measurement sample, and a predetermined frequency sweep width Δω in a microwave, and the predetermined frequency range of the microwave in the magnetic property measurement step is a region of “ωd±Δω” based on a microwave frequency ωd of the dip obtained from a relational expression of “ωd=2.87±28×μsmp×H0”.

The invention relates to an intelligent call routing method and system based on panoramic awareness, and belongs to the field of intelligent routing. The method comprises the following steps: capturing a multi-modal original data stream, performing panoramic perception based on the multi-modal original data stream, and constructing a multi-dimensional emotion field; constructing a field coupling degree model based on the multi-dimensional emotional field and the emotional resonance spectrum, and outputting an optimal matching seat; establishing a user-seat dialogue pair based on the optimal matching seat, and constructing a strategy utility function for outputting an optimal strategy sequence; based on the multi-dimensional emotion field and the optimal strategy sequence, resonance spectrum adjustment amount is obtained through resonance spectrum dynamic tuning, and a seat behavior fine tuning instruction is output; and constructing a strategy scene package and forming a strategy gene pool, and updating the emotional resonance spectrum based on the strategy gene pool. According to the method, real-time perception of user emotions, seat adaptive matching and strategy dynamic optimization are realized through multi-mode emotional field construction, emotional resonance spectrum matching and strategy gene pool evolution.

The invention relates to the technical field of nondestructive testing, and discloses a method for measuring the stacking height of oxide skin in a magnetic austenitic stainless steel pipe, which comprises the following steps: carrying out system calibration to establish a mapping model; applying a total static magnetic field formed by a static bias magnetic field and a local gradient magnetic field to the outer wall of the to-be-detected pipeline; applying sweep-frequency mechanical vibration, and acquiring and demodulating to obtain a magnetoacoustic resonance spectrum; changing the spatial distribution of the local gradient magnetic field and repeatedly collecting to obtain a plurality of groups of magnetoacoustic resonance spectrums; and carrying out inverse problem solving based on the mapping model and the plurality of groups of magnetoacoustic resonance spectrums, determining the stacking height and layer state parameters of the oxide skin, and reconstructing a three-dimensional tomographic image. According to the method, the local gradient magnetic field with adjustable spatial distribution is applied to perform depth coding on the to-be-detected area, and the mapping model is combined to perform inverse problem solving on the multiple groups of magnetoacoustic resonance spectrums, so that oxide skin response signals of different depth layers can be separated, and quantitative inversion and three-dimensional tomography of a stacking state are realized.

The invention discloses an intelligent surgical instrument tracking management system and method, and belongs to the technical field of medical equipment management. The method comprises the following steps: establishing an entanglement binding relationship between a physical tag of a surgical instrument and a digital twinborn file of the surgical instrument; determining a target instrument set based on a tracking task, and obtaining the entangled resonance spectrum of each target instrument in the target instrument set to form a target resonance spectrum set; generating and radiating a composite resonance field based on the target resonance spectrum set; receiving a state response returned by the excited physical tag; and verifying the digital signature by using the public key stored in the digital twin file, and synchronously updating the digital twin file based on the instrument state data under the condition that the verification is passed. According to the method, the problems that the tracking reliability is low and the identity is easily counterfeited in a complex environment in the traditional technology are solved by constructing the digital twinning entanglement resonance model.

The application discloses a gas magnetic resonance method for rapid measurement of lung gas exchange function, and utilizes a SA-CSIR pulse sequence to collect hyperpolarized 129 Xe magnetic resonance spectrum data; when hyperpolarized 129 Xe signals exist in three magnetic resonance signals in the lung of a subject, a relationship between signal strength of a plasma signal and exchange time t and a relationship between signal strength of a red blood cell signal and exchange time t are constructed based on a gas-blood exchange model proposed in the application, and finally, gas exchange function parameters of the lung of the subject are extracted through fitting; the application can acquire data of multiple exchange time points in a single scan, significantly shortens data acquisition time, improves sampling speed, and realizes rapid evaluation of lung gas exchange function; compared with a traditional CSSR technology, the application method can obtain a higher signal-to-noise ratio at a small exchange time, thereby improving evaluation accuracy.

The invention belongs to the technical field of sensors, and particularly relates to a high-sensitivity SLR optical fiber sensor, a preparation method thereof and application of the high-sensitivity SLR optical fiber sensor to specific detection of biomolecules. A single layer of hexagonal non-close-packed nanogold ball array is distributed on the end face of an optical fiber adapter in SLR optical fiber sensing; the SLR optical fiber sensor is formed by loading a nanogold ball array on the end face of an optical fiber adapter through a transfer printing technology, an SLR mode capable of being effectively excited under the nearly vertical incidence white light illumination condition is adopted, and detection is conducted through a simple coaxial reflection light path and a convenient direct dropwise adding sample injection method. By using the SLR optical fiber sensor, a displacement signal of a surface lattice resonance spectrum peak is detected through a detection system, qualitative or quantitative analysis of target molecules can be realized, and in a NaCl solution refractive index test, the sensitivity of the sensor reaches 323 nm / RIU; after SH-T16 modification, the sensor can realize specific detection of a target molecule A16 in a concentration range of 10 to 100 nM.

The invention discloses a multi-parameter test optical fiber preform quality detection and grading method and device, and the method comprises the steps: carrying out the electron probe microscopic analysis test, Raman spectrum test and electron paramagnetic resonance test of an optical fiber preform sample, and obtaining element distribution data, Raman spectrum data and paramagnetic resonance spectrum data; performing preprocessing and feature extraction on the element distribution data, the Raman spectrum data and the paramagnetic resonance spectrum data to obtain a plurality of key quality parameters; inputting the plurality of key quality parameters into a pre-trained comprehensive quality evaluation model, and calculating to obtain a comprehensive quality evaluation coefficient of the optical fiber preform; and comparing the comprehensive quality evaluation coefficient with a preset grading threshold value, and carrying out quality grading on the optical fiber prefabricated member. According to the method, three testing modes are adopted, a plurality of key quality parameters are obtained, the detection dimension is enriched, the comprehensive quality evaluation coefficient is calculated through the model, and subjective errors of operators are reduced.

The utility model provides a kind of SPR sensor based on MZI structure, and the sensor includes multimode fiber, quartz capillary, gold film and chitosan functional film.Two multimode fibers middle fusion quartz capillary forms MZI, quartz capillary is filled with thermosensitive material, quartz capillary is plated with gold film, and the outside of gold film is coated with a layer of chitosan functional film.The sensor uses the thermosensitive material in quartz capillary to cause MZI resonance spectrum drift with temperature change to measure temperature, and uses chitosan functional film and copper ion chelation to cause SPR resonance spectrum drift to measure concentration.The utility model realizes the double-parameter simultaneous measurement of copper ion concentration and temperature by composite structure design, with the characteristics of compact structure and high sensitivity.

The application discloses a kind of multi-mode constant pressure gas storage experimental equivalent simulation methods, containing leakage characteristic evaluation process, specifically: the closed loop sensitivity of system is spectrum shaping, and constructs sensitivity notch in target perturbation frequency band;Generate the perturbation signal satisfying mass-enthalpy-time first moment triple constraint, and after its anti-resonance spectrum pre-shaping, inject in notch frequency band, to obtain the system response data of high signal-to-noise ratio;Online estimation of structured leakage is carried out using mode-aware instrumental variable method, and the continuity of cross-mode estimation is guaranteed through bridging consistency mechanism.The application can obtain unbiased, continuous leakage estimate, and provides effective tool for accurate evaluation of constant pressure energy storage system.