47 results about "Spectral shift" patented technology

The invention discloses an alanine aminotransferase detection device and method based on a liquid crystal microcavity array, and belongs to the field of optical sensing. The device comprises a functional liquid crystal microcavity array, an excitation optical fiber and a collection optical fiber, the microcavity array is composed of liquid crystal microcavities doped with fluorescent dye and stearic acid, and the multiple microcavities are independently distributed and serve as optical sensing units; the excitation optical fiber is used for synchronously exciting the microcavity to generate an echo wall mode, and the acquisition optical fiber acquires resonance spectrum signals of each channel in real time; the functionalized liquid crystal microcavity is converted into a bipolar configuration from a radial configuration in an enzymatic reaction, echo wall mode spectrum red shift is caused, spectrum shift time is in negative correlation with enzyme concentration, and dual-channel detection is realized by matching with conversion time of a polarized light pattern. According to the detection structure based on the liquid crystal microcavity array provided by the invention, high-flux, real-time and label-free rapid detection on the concentration of alanine aminotransferase can be realized.

An optical sensor includes a probe fiber Bragg grating (FBG) coupleable to a light source, the probe fiber Bragg grating defining a probe spectrum and arranged to provide a probe light signal corresponding to the probe spectrum. A sensing fiber Bragg grating (FBG) defines a sensing spectrum. A spectral shift in the sensing spectrum is responsive to a change in at least one external parameter acting on the sensing fiber Bragg grating. The optical coupler couples the probe optical signal with the sensing fiber Bragg grating to output a spectrally overlapped optical signal. An intensity level of the spectrally overlapping light signal corresponds to an overlap between the detection spectrum and the sensing spectrum. And an optical power regulator coupled to the optical coupler, the optical power regulator arranged to adjust a baseline of the intensity level to change a sensitivity of the optical sensor.

The present disclosure relates to a frequency modulation amount measuring device that measures an optical spectral shift of scattered light at a position in an optical transmission line, and calculates a frequency modulation amount at the position, using the measured optical spectral shift.

The invention belongs to the technical field of stress sensing, and particularly relates to equipment and a method for realizing nano / nanosecond scale stress sensing of a high-speed vehicle, which can realize nano / nanosecond scale high-precision stress monitoring for a to-be-detected structure. The quantum dot array film composite material with a zero-pressure spectrum and a spectrum-stress curve independent from each other is prepared by utilizing the characteristics of the quantum dot spectrum related to the size and the type of the quantum dots. The size of the quantum dots is nanoscale, and the pressure-induced spectral shift sensitivity of the quantum dots can reach nanosecond magnitude, so that the composite material can realize nano / nanosecond-scale stress sensing. Furthermore, a fluorescence capture device integrated by a light beam emitting device and a micro spectrometer is adopted to monitor the fluorescence spectrum of the quantum dots in the vehicle operation process, and finally the real-time load spectrum of the to-be-measured part is obtained through a calibration formula in the software integration system.

The embodiment of the invention discloses an infrared band multi-mode calibration method and device. The method comprises the following steps: calculating a point spread function (PSF) of an original infrared image, and generating a spatial response matching filter function (SRMF) according to the PSF; carrying out two-dimensional convolution calculation on the SRMF to obtain an infrared image after effective space calibration; generating a possible spectral response function of ice pollution, and evaluating an optimal ice pollution spectral response through a cross calibration method; according to the optimal ice pollution spectral response, a spectral response function after possible spectral offset is generated, the optimal possible spectral offset is evaluated through a cross calibration method, and a spectral response function after spectral calibration is obtained through optimal sampling; calculating a linear coefficient, a nonlinear coefficient and a constant coefficient of radiometric calibration; and according to each coefficient of radiometric calibration, calculating the radiation quantity of the infrared image after multi-modal calibration. The method can overcome the existing problems and promote the quantification and multi-source fusion application of the satellite infrared data.

The application provides a far-infrared-based polyester filament spectral reflectance detection method, and belongs to the technical field of polyester filament spectral reflectance detection. The method comprises the following steps: obtaining enhanced spectral data of a polyester filament sample; performing feature band extraction, calculating a correlation matrix, and obtaining a high-dimensional spectral feature vector; constructing a polyester filament spectral reflectance three-dimensional simulation model, and obtaining a spectral energy distribution diagram; performing matching degree verification, and obtaining a pre-judgment matching index; analyzing a spectral shift type, and obtaining a reflectance defect classification standard; constructing a reflection mode parameter data set, extracting a feature coincidence degree parameter, inputting the feature coincidence degree parameter into a random forest algorithm, and determining a reflectance anomaly grade; and generating a spectral reflectance detection report. The application positions an abnormal interval through three-dimensional simulation simulation, establishes a quantitative correlation between spectral anomalies and process parameters to realize tracing, generates a standardized defect classification and process optimization suggestion to form a closed-loop management and control, can be adapted to detection of multiple types of synthetic fibers, and effectively improves production quality management and control level.

This invention relates to an adaptive spectral drift correction method for LIBS data. The method includes the following steps: Step S1, adaptively segmenting the reference spectrum to separate significant characteristic peaks into different segments, obtaining the segmentation results of the reference spectrum; Step S2, applying the segmentation results of the reference spectrum in Step S1 to the spectrum to be corrected, obtaining the segmentation results of the spectrum to be corrected; Step S3, automatically comparing the distance between the most intense characteristic peaks in each segment of the reference spectrum and the spectrum to be corrected, adaptively correcting the segments that meet the distance constraints, thus completing the spectral drift correction of the LIBS data to be corrected. Compared with existing technologies, this invention uses an adaptive segmentation approach, reducing the high correlation between the correction results of various characteristic peaks in different segments, and improves the accuracy of spectral drift correction by locally adaptively correcting the peak position drift of characteristic peaks. It has advantages such as wide applicability to various data types, high classification accuracy, and good robustness of results.

This invention discloses a lead-ion sensor and method based on a liquid crystal whispering-gallery mode resonator. The sensor includes a functionalized liquid crystal glass microbubble and a tunable scanning laser, a single-mode fiber, a tapered fiber, and a power meter sequentially connected via a single-mode fiber. The tapered fiber is disposed on one side of the functionalized liquid crystal glass microbubble, which contains interface modifications for capturing single-stranded DNA. The resonant light field signal enters the power meter, which obtains a spectrum. The spectral signal in the liquid crystal whispering-gallery mode spectrum initially exhibits a red shift, followed by a blue shift. The spectral shift is the sum of the red and blue shift values. Lead ion detection is achieved by measuring the spectral shift in the liquid crystal whispering-gallery mode. 2+ High-resolution sensing. Compared with existing technologies, this invention overcomes the defect of small spectral drift in WGM, thereby triggering stronger spectral changes to achieve a lower detection limit, and is integrable.

The application discloses a spectrum shift type hydrogen sensor and a preparation method thereof, and comprises a silicon substrate, a suspended micro-bridge formed by local etching and releasing of the silicon substrate, and a nanowire array arranged on the suspended micro-bridge, wherein the nanowire sensitive structure in the nanowire array comprises, from inside to outside, a gold core, a palladium shell layer coated on the periphery of the gold core, an air gap located outside the palladium shell layer, an annular gold shell layer arranged around the air gap, and a porous alumina filling layer reserved in the final device and filled outside the annular gold shell layer; a temperature control circuit is connected with the suspended micro-bridge and used for controlling the working temperature of the suspended micro-bridge; wherein the nanowire sensitive structure is subjected to plasmonic resonance spectrum peak displacement under the action of hydrogen, and the air gap and the annular gold shell layer form a radial coupling cavity for amplifying the readout amplitude of the spectrum peak displacement. The application can realize high-sensitivity, fast-recovery and high-stability hydrogen spectrum detection.

The invention relates to the technical field of nuclear reactor design, in particular to a spectrum shift material neutronics performance evaluation method, system and equipment and a medium, and the method comprises the following steps: obtaining a first neutronics state parameter and a first reactivity parameter of a target reactor core; introducing the to-be-evaluated spectrum shift material into the reactor core, and obtaining a second neutronics state parameter and a second reactivity parameter of the introduced reactor core; according to the second neutronics state parameter and the first neutronics state parameter, calculating a first evaluation factor representing the movement degree of the to-be-evaluated spectrum shift material to the reactor core energy spectrum; according to the second reactivity parameter and the first reactivity parameter, calculating a second evaluation factor representing the influence degree of the to-be-evaluated spectrum shift material on the reactivity of the reactor core; and based on the first evaluation factors and / or the second evaluation factors corresponding to different spectral shift materials, evaluating neutronics performance of each spectral shift material. The objective of the invention is to accurately evaluate neutronics properties of different spectrum shift materials.

The present application relates to the field of optical measurement technology, disclose a kind of based on open optical path atmospheric NO3 radical measurement system and method, system includes light source module, first convex lens, first high reflectivity lens, second high reflectivity lens, detachable cavity, second convex lens and spectrometer, the present application is directly sampled to the air between high reflect lens by the design of open optical path, avoid the wall loss of NO3 radical in active sampling, to improve the sensitivity and accuracy of measurement. While introducing the design of detachable cavity, realize the flexible switching of zero air and actual atmospheric sampling. The introduction of zero-point spectral library method effectively compensates the influence of temperature and humidity change on light source and spectrometer, the spectral shift caused by environmental change is eliminated by dynamic calibration, in addition, the input of real-time water vapor absorption cross section can accurately remove the influence of water vapor absorption on NO3 radical measurement, further improve the reliability of measurement result.

The present application relates to the technical field of secondary water supply control, and particularly relates to a water tank water age monitoring and early warning method and system based on the Internet of Things, which can comprehensively acquire water tank water quality and user water consumption information through multi-modal data acquisition and fusion; can master water tank water age changes in real time, discover potential problem areas in time, and guarantee water tank water quality safety by constructing a dynamic model and identifying abnormal areas; can provide a benchmark for comparative analysis of abnormal conditions by determining normal flow areas, so that early warning processing is more targeted; can accurately evaluate the severity of abnormalities by quantifying the spectral shift distance of the coupling oscillation mode of abnormal and normal areas; can start adaptive sampling according to the spectral shift distance, dynamically improve the monitoring accuracy of abnormal areas, capture details of water age changes in time, and provide reliable data for prediction and early warning; and can predict water age mutations and generate graded early warning instructions by training a neural network, so as to facilitate relevant personnel to respond in time and reduce water tank water quality risks.

The embodiments of the present disclosure disclose an infrared waveband multi-modal calibration method and device. The method comprises: calculating a point spread function (PSF) of an original infrared image, and generating a spatial response matching filter function (SRMF) according to the PSF; performing two-dimensional convolution calculation on the SRMF to obtain an infrared image after effective spatial calibration; generating a possible spectral response function affected by ice pollution, and evaluating an optimal ice pollution spectral response by a cross-calibration method; generating a possible spectral response function after possible spectral shift according to the optimal ice pollution spectral response, and evaluating an optimal possible spectral shift amount by the cross-calibration method, and obtaining a spectral response function after spectral calibration by optimal sampling; calculating a linear coefficient, a nonlinear coefficient and a constant coefficient of radiation calibration; and calculating an infrared image radiation after multi-modal calibration according to the coefficients of radiation calibration and. The method can overcome existing problems and promote quantitative satellite infrared data and multi-source fusion application.

The present invention discloses a cross-domain remote sensing image scene classification method based on rotation robust feature subclass center alignment. It belongs to the field of remote sensing image processing, and the steps are: generating a rotation invariant HOG image according to source domain sample data and target domain sample data; inputting the original image and the rotation invariant HOG image into a convolutional neural network as input to obtain rotation invariant high-level semantic features of the source domain and target domain images; calculating the subclass centers of the source domain and target domain samples according to the high-level semantic features, calculating the moving direction of the target domain image and moving the target domain features according to the neighborhood subclass center alignment method; training an SVM classifier using the source domain features and the moved target domain features, and inputting the unknown target domain image into the classifier for testing to obtain the final scene classification result. The present invention can effectively improve the model's adaptability to spectral shifts caused by cross-domain scene image angle changes and intra-class diversity, and provide a new approach to improving the accuracy of cross-domain remote sensing image scene classification.

This invention discloses a hydrogen sensing probe and its fabrication method. The nanowire array of this invention provides a high specific surface area and a three-dimensional channel structure, improving the contact efficiency between the sensitive layer and hydrogen, providing a pathway for light / gas transmission, and balancing sensitivity and response / recovery kinetics. At the same time, it abandons the traditional external cavity mirror structure. The Fabry-Perot interferometer cavity formed by the second and first reflective layers enhances the round-trip interaction between light and the sensitive layer, improves the spectral drift amplitude and signal-to-noise ratio, and reduces the influence of environmental factors. Furthermore, the nanowire array is coupled with the emitted light field and / or reflected light field at the end face to form a local field enhancement effect, which is superimposed with the Fabry-Perot interferometer effect, resulting in a larger spectral shift caused by the same amount of hydrogen.

The invention relates to the technical field of target tracking, in particular to a power transmission line hidden danger target tracking method and system based on spectral image processing, and the method comprises the following steps: collecting a multiband spectral image, extracting an initial spectral stable point group, obtaining a spectral reflection peak value and an absorption valley value, constructing a spectral point template, fitting a reflection spectrum curve, and calculating a feature difference. The method comprises the following steps: judging spectral shift through a feature difference, screening abnormal frames, calculating similarity, generating a trajectory matching score, obtaining a score abnormal region, predicting a target position based on a multi-frame velocity vector, and updating trajectory node information. According to the method, abnormal areas are extracted through multiband spectral image analysis, a spectral feature vector set is constructed, a support vector machine regression model is utilized to stabilize a spectral curve, target spectral feature extraction precision is enhanced, spectral offset is calculated, abnormal frames are screened, a matching trajectory is scored, interference is estimated through a velocity vector, and tracking precision is enhanced through a dynamic adjustment mechanism. And the influence of environmental interference on the tracking process is reduced.

This application relates to the integration of high-frequency reconstruction techniques with reduced post-processing latency, and specifically discloses a method for decoding an encoded audio bitstream. The method includes receiving the encoded audio bitstream and decoding audio data to generate a decoded low-frequency band audio signal. The method further includes extracting high-frequency reconstruction metadata and using an analytical filter bank to filter the decoded low-frequency band audio signal to generate a filtered low-frequency band audio signal. The method also includes extracting a flag indicating whether to perform a spectral shift or harmonic transpose on the audio data and regenerating the high-frequency band portion of the audio signal according to the flag using the filtered low-frequency band audio signal and the high-frequency reconstruction metadata. The high-frequency regeneration is then subjected to a post-processing operation with a delay of 3010 samples per audio channel.

The application discloses a land use change detection system based on remote sensing cloud computing. The system comprises a remote sensing data acquisition module, a spectral shift compensation module, a response field construction module, a confidence evaluation module, a multi-scale segmentation optimization module and a sub-pixel boundary optimization module. The application firstly realizes accurate spectral alignment by using invariant ground feature spectral reference, then establishes a spatial confidence evaluation model through change direction consistency and amplitude dispersion analysis to filter core change pixels; and based on boundary stability and internal homogeneity, the optimal segmentation scale is automatically determined, and the change area boundary is accurately corrected through sub-pixel spectral decomposition technology, which significantly improves the reliability and accuracy of land use change detection, greatly reduces the false change detection rate, effectively enhances the boundary positioning accuracy, adapts to complex change scenes and improves the processing efficiency.

The invention relates to a method and an arrangement for the nonlinear spectral broadening of temporally incoherent or partially coherent optical pulses of a pulsed laser beam, which have a pulse duration not limited by bandwidth. In one embodiment of the method, the pulsed laser beam is split into two partial beams, which are spectrally shifted relative to each other by a frequency difference Δf. The spectrally shifted partial beams are then at least partially superimposed such that they interfere in the time domain during or after superposition and form at least one modulated pulsed laser beam, the pulses of which exhibit a temporal modulation of intensity with a period Δt = 1 / Δf.The pulses of the modulated pulsed laser beam are then spectrally broadened by self- or cross-phase modulation in an optically nonlinear medium, achieving a large spectral broadening through this modulation. This method and setup are particularly advantageous for IFE driver lasers.

The invention provides a hyperspectral image temperature drift correction method fusing feature positioning and staged compensation, and belongs to the field of hyperspectral imaging, and the method comprises the steps: obtaining the hyperspectral data of a to-be-measured sample through a hyperspectral imager, collecting the environment temperature, and building the relation between the temperature and the spectral drift; performing smooth noise reduction processing and spectral data normalization on the hyperspectral data to obtain primarily processed hyperspectral data; performing characteristic peak position alignment on the preliminarily processed hyperspectral data, and then performing compensation based on an environment temperature identification temperature sensitive wave band to obtain compensated hyperspectral data; and according to the baseline offset type, selecting an adaptation mode to carry out baseline up-down offset correction on the compensated hyperspectral data to obtain hyperspectral data subjected to temperature drift correction, and finally, carrying out evaluation to obtain final hyperspectral data. According to the invention, the problems of unstable spectral response and data distortion caused by environment temperature change in the long-term operation or complex environment of the existing hyperspectral imaging system are solved.

The present invention provides a method and system for calibrating ultraviolet and visible light spectra of water bodies, which are applied to the field of environmental monitoring and analysis technology. The method calibrates the wavelength accuracy of a slave spectrometer; performs the following steps on the ultraviolet and visible light bands: constructing a joint spectral matrix by combining the spectral data of the master spectrometer and the slave spectrometer, and performing singular value decomposition on the joint spectral matrix; optimizing the order of the singular value decomposition and the number of standard samples using a Bayesian optimization algorithm to determine the minimum number of standard samples; constructing a conversion matrix based on the minimum number of standard samples to standardize the band to be calibrated; performing baseline extraction and baseline calibration on the spectral data of the slave spectrometer; and calculating the spectral offset at the band boundary and superimposing it on the visible light band. The present invention can significantly improve the restoration of visible light bands and spectral details, and significantly reduce the demand for standard samples while ensuring spectral consistency.

The application provides a roadside weak light data synthesis method and device for simulating imaging characteristics of a sensor, and relates to the technical field of computer vision and intelligent transportation, and comprises the following steps: acquiring a daytime roadside image and performing normalization processing; simulating a nonlinear brightness response of the sensor by exposure scaling and Gamma correction; applying a spectral scaling coefficient to simulate spectral shift of a night artificial light source; constructing a dark corner intensity mask to simulate lens optical defects; performing adaptive smoothing on a dark area in a color space to simulate texture loss; establishing a Poisson-Gaussian mixed model to simulate physical noise of the sensor; performing ISP fine tuning and quantization to synthesize a weak light image. In view of the problems that weak light data is scarce in a roadside sensing scene and a traditional image darkening method cannot reflect real physical characteristics, the weak light data generated by the method is consistent with a real night scene in terms of pixel visibility distribution, texture structure reservation and color noise characteristics, and the robustness and detection accuracy of a roadside all-weather traffic sensing algorithm are effectively improved.

The invention discloses a humidity sensor based on a tunable photonic crystal grating and a preparation method of the humidity sensor, and belongs to the technical field of optical sensing, the sensor comprises the tunable photonic crystal grating formed by compounding a single-layer polystyrene microsphere array and humidity sensitive hydrogel, the lattice spacing of microspheres is regulated and controlled through hydrogel humidity response deformation, and the humidity sensitive hydrogel is obtained. The humidity change is converted into accurate displacement of Bragg reflection wavelength, a Czerny-Turner optical path structure is combined, spectral displacement is analyzed in real time by utilizing a linear array charge-coupled device, and high-precision detection of humidity is realized. Through a semi-embedded microsphere-hydrogel interface stress transfer structure, the sensitivity, precision and anti-interference capability of humidity detection can be improved.

The invention relates to backtracking compatible integration of high frequency reconstruction techniques for audio signals. A method for decoding an encoded audio bitstream is disclosed. The method includes receiving the encoded audio bitstream and decoding the audio data to produce a decoded low-band audio signal. The method further includes extracting high frequency reconstruction metadata and filtering the decoded low band audio signal using an analysis filter bank to produce a filtered low band audio signal. The method also includes extracting a flag indicating performing spectral translation or harmonic transpose on the audio data and regenerating a high frequency band portion of the audio signal using the filtered low frequency band audio signal and the high frequency reconstruction metadata in accordance with the flag.

The present invention relates to a method for spectral calibration and correction of an on-orbit grating spectrometer, comprising the following steps: Step 1: Accurate measurement of reference light source characteristics and initial light field modeling; Step 2: In-depth simulation of the light scattering process in a diffuse transmission plate; Step 3: Comprehensive calculation of the process of light transmission to the entrance pupil of the spectrometer; Step 4: Development and implementation of a spectral offset correction strategy. The method for spectral calibration and correction of an on-orbit grating spectrometer of the present invention can complete high-precision spectral tasks and further improve the calibration accuracy. By utilizing the conditions of mercury lamps with different inclinations incident on the diffuse transmission plate of the spectrometer, and performing theoretical analysis and spectral calibration correction, such analysis can complete high-precision spectral calibration. The method for spectral calibration and correction of an on-orbit grating spectrometer of the present invention can improve the precision and accuracy of spectral measurement through precise calculation and analysis, and provide solid technical support for the application of spectral technology in many fields.

Diagnostic and treatment methods for onychomycosis are disclosed. The diagnostic method includes applying a Methylene Blue composition to nails suspected of onychomycosis infection and visually assessing the methylene blue staining on the nail following a diagnosis waiting period, as an indication of onychomycosis infection and severity. The severity of infection may be assessed qualitatively by comparison against a color guide and / or assessed quantitively by UV-Visual spectroscopy and correlating the spectral peak intensity and / or spectral shift to a quantitative onychomycosis severity scale. The diagnostic method may be combined with the photosensitizer activity of Methylene Blue to further provide a photodynamic regimen for treating onychomycosis, and a maintenance regimen for preventing re-infection of the nail.

An object of the present disclosure is to enable vibration analysis using a spectral shift under appropriate conditions depending on a measurement object.According to the present disclosure, there is provided a vibration distribution measuring apparatus which measures backscattered light in an optical fiber to be measured a plurality of times at different times, extracts an optical spectrum of a window section determined from a plurality of backscattered light waveforms obtained by the measurement, and measures a vibration distribution in the optical fiber to be measured using optical spectra of the plurality of extracted backscattered light waveforms, in which the optical spectrum of the window section is calculated using the window section in which the vibration amplitude in the window section in the optical fiber to be measured is larger than a threshold value defined in the window section.

The application discloses a kind of based on machine vision's Ferris wheel hanging car safety detection and abnormality identification method, including the following steps: take boarding platform and circumferential position image, determine hanging car position in combination with encoder and sensor;Image and structural features are extracted to component state data by door body, door lock, door gap, pressure rod, fastener and suspension arm area correction;Characteristic representation is generated by state data and rotation position index unfolding splicing;A set of position conditioned Koopman operators is trained based on the representation, block sparse is used and growth constraint is set in crack sub-block;Residual, spectral shift and logic violation result are obtained by using operator set for cross-ring prediction and cyclic consistency modeling;Composite anomaly score is generated based on the result and grade is determined;Grade is output and maintenance suggestion is generated.The application introduces a set of position conditioned Koopman operators, realizes cross-ring prediction and cyclic consistency modeling of Ferris wheel hanging car.

The invention relates to the technical field of image processing, and discloses an ocean exploration image processing method and device, and the method comprises the following steps: S101, generating a red channel histogram; step S102, determining a gap center gray scale according to the red channel histogram, and converting the gap center gray scale into a gap center wavelength; s103, calculating the effective attenuation coefficient of the red light according to the central wavelength of the notch; s104, a red channel compensation gain value is obtained through calculation according to the red light effective attenuation coefficient; and S105, obtaining a corrected ocean detection image by using the red channel compensation gain value. According to the invention, by constructing a spectrum drift sensing mechanism based on double-peak notch characteristics in an image red channel, self-calibration of response change of the optical filter in a deep-sea high-pressure environment is realized, and image color cast and target distortion caused by blue shift of the optical filter are effectively avoided, so that high-quality image data are provided for subsequent ocean tasks.

The invention provides a coaxial pressure detection device and a detection method. The device comprises a light source module, a data acquisition module, a pressure input end and a pressure sensor, the pressure sensor comprises a pressure sensing diaphragm, an optical fiber fixing substrate of a T-shaped structure, an FPI sensing optical fiber and a double-FBG sensing optical fiber, wherein the FPI sensing optical fiber and the double-FBG sensing optical fiber are coaxially integrated. External pressure sensed by the pressure sensing diaphragm is converted into optical fiber axial strain, and spectral shift of the FPI sensing optical fiber and the double-FBG sensing optical fiber is triggered. According to the invention, through cooperation of a mechanical conduction structure and multi-sensor cooperative sensing, pressure detection with high sensitivity and wide range is realized, meanwhile, the differential layout of the double FBG sensing optical fibers is utilized to effectively inhibit the influence of ambient temperature on a pressure measurement result, and the sensor has the advantages of stable structure, high measurement precision and temperature and pressure self-compensation.