496 results about "Optical sensing" patented technology

The invention discloses an environment-adaptive transformer oil sample Raman spectrum detection method and related equipment, and relates to the field of optical sensing systems. The method comprises the following steps: collecting oil sample Raman spectrums and environmental parameters in multiple operation scenes, and constructing a multi-scene spectrum characteristic model and a standard fingerprint database; pre-processing and denoising parameters are adaptively set based on the environmental perception vector, and baseline correction and joint denoising are carried out on the original spectrum; scene discrimination is carried out by fusing the characteristics of peak position, peak height, peak width, integral area and the like, a scene-related component standard spectrum dictionary is generated, and the concentration and confidence of each target component are obtained by adopting constrained spectral line unmixing and quantitative calibration; and driving the fingerprint database and the model to update in combination with quality control indexes such as spectral shape relevancy and residual errors and a drift detection result. The system is composed of a Raman spectrum acquisition module, an environment monitoring module and a data processing module, and can improve the robustness and quantitative precision of Raman detection of transformer oil in a complex environment.

The invention discloses an intelligent water quality monitoring and pollution source identification method based on full spectrum analysis, and relates to the technical field of environmental monitoring optical sensing, and the method comprises the following steps: carrying out dynamic background stripping on a water body pollution metadata set to obtain a dynamic background spectrum, and building a spectrum purification model to carry out characteristic purification on the dynamic background spectrum to obtain a water body pollution data set; generating a pollution characteristic spectrum; performing multi-dimensional feature aggregation and hydraulic drive topology reconstruction on the pollution feature spectrum to generate a watershed pollution dynamic propagation relationship network diagram; performing physically constrained space-time convolution and propagation inversion on the watershed pollution dynamic propagation relationship network diagram to generate a pollution source probability distribution thermodynamic diagram; and carrying out responsibility association mapping on space anchor point coordinates of the pollution characteristic spectrum and pollution source center positioning of the pollution source probability distribution thermodynamic diagram, and generating a visual traceability report. Through dynamic background stripping and feature purification, high-fidelity extraction of pollution features under a complex optical background is realized, and the detectability of trace pollutants is remarkably improved.

The invention provides an optical sensing measurement method based on closed-loop adjustment of LED driving, and relates to the technical field of optical sensing. The method comprises the following steps: initializing a system; the microcontroller reads a current value of the analog-to-digital converter and calculates an error; calculating a new set value of the driving current of the light emitting diode according to the error; the microcontroller outputs the new set value to the digital-to-analog converter, the digital-to-analog converter controls the driving circuit to adjust the driving current of the light emitting diode, and after a preset time period, the current value of the analog-to-digital converter is collected; repeating the steps, when the error absolute value is smaller than a preset threshold value, judging that closed-loop convergence occurs, and recording the driving current at the moment and the current value of the analog-to-digital converter as measurement results; and obtaining the sample concentration according to the calibration curve and the driving current in the measurement result. According to the scheme, the dynamic range and the low-concentration precision are remarkably improved, LED aging and temperature excursion are inhibited, the circuit is simplified, and multiple groups of current-limiting resistors and multi-gear change-over switches are not needed.

The invention discloses a constant-tension self-compensation coating method and an intelligent deviation adjusting method, and belongs to the technical field of material dynamic characteristic on-line testing and cooperative control, and the constant-tension self-compensation coating method comprises the following steps: obtaining stress distribution data of the surface of a coating base material, generating a multi-mode optical data set, analyzing a real-time tension estimated value and material dynamic characteristic parameters, and obtaining a multi-mode optical data set; wherein the dynamic characteristic parameters of the material comprise an equivalent elastic modulus and a surface friction coefficient; generating a dynamic coupling coefficient based on the real-time tension estimation value and the dynamic characteristic parameters of the material, performing analysis and calculation, and outputting a tension compensation control quantity and a deviation adjustment control quantity; and the tension compensation control quantity is executed to adjust the unwinding or winding torque, and meanwhile, the deviation adjusting control quantity is executed to adjust the angle of a deviation correcting guide roller. According to the method, the dynamic characteristics of the material are analyzed in real time by adopting multi-mode optical perception, and the tension deviation coupling model is constructed, so that interference advanced cooperative inhibition and working condition self-adaptive stable coating can be realized.

The invention discloses an intelligent optical sensing system based on multispectral fusion, and relates to the technical field of optical sensing, and the system comprises a multispectral image collection module which is used for synchronously collecting original image data of a target scene under three spectral channels of visible light, near-infrared and short-wave infrared; the space-time registration and preprocessing module is used for carrying out high-precision space-time registration and radiation correction on the images of different spectrum channels; the self-adaptive feature extraction and fusion module is used for extracting multi-scale spectral features from the registered multi-spectral image and dynamically selecting and weighting a fusion strategy according to scene content; and the lightweight decision network module outputs a final target identification and state discrimination result. According to the technical scheme, the time-space consistency of multispectral data acquisition can be realized, the cross-band registration precision is improved, the robustness under the conditions of low contrast, shielding and severe weather is enhanced, meanwhile, the calculation complexity and memory occupation are greatly reduced, and the method is suitable for edge calculation equipment with limited resources.

The invention belongs to the field of optical sensing technology and food component analysis, and discloses a tea polyphenol detection method and a tea polyphenol detection device based on an infrared evanescent wave absorption spectrum. Comprising the following steps that a conical infrared optical fiber sensor is provided, the conical infrared optical fiber sensor is obtained by drawing an optical fiber with the diameter of 150-1000 microns to obtain a conical infrared optical fiber, and then the end faces of the two ends of the conical infrared optical fiber sensor are polished till the end faces of the optical fiber are free of scratches, so that the two end faces of the optical fiber are flat, smooth and bright and form mirror faces; the conical infrared optical fiber sensor is packaged in the sample pool, the upper end of the sample pool is open, and a to-be-detected sample solution is injected and fully coats the optical fiber; an 850-4000 cm <-1 > infrared light source is provided, focused infrared light enters the optical fiber and is fully coupled with the optical fiber, an infrared evanescent wave absorption spectrum is collected, and qualitative and quantitative analysis is carried out on the tea polyphenol content based on the tea polyphenol characteristic peak intensity. The method for detecting the tea polyphenol has the characteristics of rapidness, high sensitivity and low detection limit.

The invention provides a micro-lens array multi-point alignment focusing method, a storage medium and electronic equipment, and relates to the technical field of lens array detection. According to the algorithm, three unit lens point positions which are far away from each other on an actual array lens sample piece are selected as reference input points, after reference coordinates and actual coordinates are obtained, a vector length scaling coefficient, xy-direction offset and a rotation angle are calculated in sequence, then a conversion matrix is obtained through plane fitting, and the conversion matrix is calculated. And finally, accurate alignment and focusing of any reference point and an actual product point in the xyz three directions are realized. The method does not need to consider the rotation direction and the deviation angle of sample placement, is high in adjacent point test positioning and movement completion speed, has the characteristics of high precision, simplicity in implementation, low cost and the like, and effectively solves the problems of low lens positioning and focusing efficiency, insufficient precision, complex calculation and the like of a traditional micro lens array unit. The micro-lens array is suitable for various application scenes depending on the micro-lens array, such as optical sensing, 3D imaging and the like.

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

The invention relates to the technical field of crossing of biomedical engineering, molecular diagnosis and nano-optical sensing, and particularly discloses a virus nucleic acid variation amplification-free LSPR (Local Surface Plasmon Resonance) detection method and chip based on a gold nano-structure. The virus nucleic acid variation amplification-free LSPR detection chip based on the gold nanostructure comprises a sample injection port, a reaction area, a washing area, a detection area and a waste liquid area, the sample injection port is used for injecting a viral nucleic acid or protein sample, a plurality of groups of probe sequences are fixed in different reaction regions of the chip, non-amplification rapid detection of viral nucleic acid variation is realized, high sensitivity and specificity are ensured, and by utilizing the unique advantages of an MSNs template branched gold nanostructure, the detection sensitivity is improved. Refractive index change caused by single base mutation is directly amplified, the capability of completing femtomole-level detection within 30 minutes is achieved, the overall detection speed is increased, rapid typing detection of viral nucleic acid variation is achieved through LSPR spectral signals under the non-amplification condition, and a portable platform is formed by integrating the LSPR spectral signals and a micro-fluidic chip.

A method for non-contact modal analysis uses an optical sensing device such as a video camera. Unlike traditional modal analysis, requiring accelerometers or force sensors to measure the modal characteristics of a structure and animate the motion of a wireframe model of the test structure, the inventive system mathematically modifies the original video recordings by filtering, amplifying, and modifying the playback rate or applying modal shape mask or vectors to produce modified video to show motion at each modal frequency. This provides animated mode shapes with higher spatial and temporal resolution that possible with the traditional approach of using wireframe model animations.

The invention relates to the field of optical fiber sensing, in particular to a two-way communication method for optical sensing communication, which comprises the following steps: after a base station and a terminal complete handshake connection, the base station sends a preset acquisition control instruction to the terminal in a downlink manner; after receiving the acquisition control instruction, the terminal acquires a sensing electric signal; the terminal encodes the sensing electric signal to obtain terminal encoding data; the terminal performs frequency and amplitude combined modulation on the terminal coded data to obtain modulation data; the terminal vibrates the optical fiber according to the modulation data in a terminal preset mode so as to transmit the modulation data to the base station based on the optical fiber; and after the base station acquires the modulation data, the base station performs frequency and amplitude combined demodulation on the modulation data to obtain demodulation data, and decodes the demodulation data to obtain a sensing electric signal containing external sensing information. According to the method, the communication efficiency in optical sensing communication can be improved, the communication distance can be prolonged, and a stable and reliable two-way communication mechanism between the terminal and the base station can be established.

The invention relates to the technical field of optical sensing, in particular to a metasurface waveguide array based on a silicon carbide substrate and a spectrum sensing system. The system comprises a coupling modulation module, a waveguide transmission module and a spectral analysis module, the coupling modulation module realizes multi-physical field coupling modulation through a nonlinear coupling superposition principle of a thermo-optical effect and an electro-optical effect; the waveguide transmission module selectively activates waveguide channel combination based on a neural network prediction model and dynamically optimizes transmission parameters through an online reinforcement learning algorithm; the spectral analysis module performs environment compensation correction on the spectral characteristic parameters and outputs a corrected recognition result; according to the invention, multi-physics field coupling modulation, intelligent waveguide channel selection and environment adaptive compensation technologies are innovatively combined, the problems of insufficient precision and poor adaptability of a traditional spectrum sensing system in a complex environment are solved, and high-precision and adaptive spectrum sensing is realized.

The invention discloses a heap fermentation temperature measurement digital method and device based on infrared sensing and modeling reasoning, which can perform self-adaptation according to the position, number and layout change of fermented grain heaps without fixed installation in a workshop by adopting dynamic identification and mobile temperature measurement strategies. The problems that a traditional temperature measurement means is poor in adaptability and high in layout cost in a flexible production environment are effectively solved, and the universality and deployability of the system are remarkably improved. Moreover, a non-contact optical sensing means is adopted in the whole process, so that the damage to the fermented grain pile structure is avoided, the integrity and stability of the fermentation process are ensured, and the final wine quality is favorably improved.

The invention discloses an on-chip fully-integrated optical circulator based on phase modulation. The on-chip fully-integrated optical circulator comprises a substrate, a buried oxide layer, an optical waveguide layer, an upper cladding and a metal layer used for manufacturing metal electrodes, the substrate, the buried oxide layer, the optical waveguide layer, the upper cladding and the metal layer are stacked, the optical waveguide layer comprises two input / output optical waveguide groups, a four-port resonant cavity and two metal electrode pairs, and the metal layer comprises four modulation areas; four ports of the resonant cavity are respectively connected with four interfaces of the modulation area, each input / output optical waveguide group is connected by a bent optical waveguide and coupled to the resonant cavity, the middle of the metal electrode pair is bent to form a coplanar waveguide electrode, and the middle of each two ends of the modulation area is connected by the coplanar waveguide electrode. The fully-integrated optical circulator is realized under the silicon-based substrate for the first time, is compatible with current mainstream optical integration platforms such as SOI, LNOI and LTOI, and can be widely applied to large-scale photonic integrated chips, such as the fields of optical communication, optical sensing, on-chip optical interconnection and the like.

The invention discloses a temperature-pressure-resistant vibration methane carbon isotope detection system for oil and gas logging, which belongs to the technical field of oil and gas logging and comprises a gas sample pretreatment module, an optical sensing module, a driving and temperature control module and a core control and algorithm module. The core control module is realized by an FPGA (Field Programmable Gate Array) and is integrated with a self-adaptive multi-resolution scanning and compressed sensing reconstruction algorithm. The method comprises the following steps: performing current segmented scanning and wavelength modulation on the laser; light path anti-vibration coupling is realized through closed-loop control of the MEMS galvanometer; acquiring sparse sampling spectrum data; reconstructing a high-resolution spectrum by using compressed sensing; and inversing CH4 and CH4 concentrations by adopting Voigt linear fitting, and calculating a delta C value. The precision, the speed and the long-term stability of methane carbon isotope detection in a logging site temperature-pressure vibration coupling disturbance environment are remarkably improved.

The invention relates to the field of optical fiber sensing, in particular to an uplink communication method and system for optical sensing communication, electronic equipment and a storage medium, and the method comprises the steps: collecting a sensing electric signal; encoding the sensing electric signal to obtain encoded data; modulating the coded data based on frequency joint amplitude to obtain an injection signal; and vibrating an optical fiber by using the injection signal in a preset mode so as to transmit the injection signal based on the optical fiber. According to the method, the transmission efficiency of uplink communication of the terminal can be improved, the transmission distance of the uplink communication of the terminal is increased, and the transmission reliability is improved.

An optical sensing system comprises a human interface structure to be applied to a user. The system comprises a time-of-flight sensor with an array of laser diodes with Bragg reflectors operating in the near-infrared, a detection system, and a processor generating a time-of-flight measurement and a first image. The system also includes a first camera system capturing a second image, and a second camera system illuminated by light emitting diodes to monitor one or more eyes of the user. In communication with or operating on the processor is an artificial intelligence assistant, which comprises a multi-modal generative artificial intelligence model. The system may be part of wearable eyewear such as smart glasses or extended reality goggles. The system may perform gesture analysis, eye tracking and speed recognition, and video and verbal outputs can be provided to the user. An artificial intelligence agent may have awareness of the environment.

Disclosed is devices and techniques for 3D LiDAR sensing without beam scanning with moving parts or 2D optical imaging based on the combination of a lens' position-to-angle conversion and the wavelength division multiplexing / demultiplexing (WDM) in the output probe light for LiDAR sensing. This 3D LiDAR sensing can be implemented on stacked photonic integrated chips to provide.

The invention relates to the technical field of UV adhesive detection and analysis, and discloses a UV adhesive detection data performance analysis method and system based on machine learning. The method comprises the following steps: acquiring optical response time sequence data of a curing process from a multi-dimensional optical sensing array of a UV adhesive production device, and synchronously acquiring real-time working condition parameters of the device; in a multi-layer feature fusion mode, performing noise compensation processing on the optical response time sequence data to obtain a spectral attribute index of a curing reaction, and determining a quality fluctuation period of quality tracking in the continuous curing stage of the UV adhesive according to the spectral attribute index; production line process path information is obtained, defect characteristics are analyzed, interlayer interface defect data in the curing process are obtained, and the defect coupling level is determined in combination with optical response time sequence data; according to the quality fluctuation period and the defect coupling level, early warning is conducted on a dynamic performance attenuation area in the UV glue production process. According to the method, comprehensive monitoring and accurate analysis of the curing process can be realized, and a technical scheme is provided for production quality control.

The invention belongs to the technical field of superconducting material processing, and discloses a near-infrared optical response Nb3Sn superconducting wire and a preparation method thereof. The Nb3Sn superconducting wire with near-infrared optical response comprises an optical functional coating, the optical functional coating is formed by embedding periodically-arranged plasmon metal micro-nano structures into a high-transparency dielectric substrate, the plasmon metal micro-nano structures are gold nanorod arrays or silver nanoring, the dielectric substrate is made of a SiO2-polyimide composite material, and the thickness of the dielectric substrate is 10-20 micrometers. The Nb3Sn superconducting wire with the near-infrared optical response has high absorptivity and photoelectric response in the near-infrared band, in-situ optical sensing of temperature, stress and magnetic field intensity can be synchronously achieved, the interface compatibility of the optical functional coating and the Nb3Sn superconducting basic wire is good, meanwhile, the influence of the added optical functional coating on the performance of the superconducting wire is small, and the service life of the superconducting wire is prolonged. And the method has a wide application prospect in the aspect of constructing an integrated optical-electric-magnetic multifunctional device.

Various embodiments are described herein for a device, system, and method for identifying a location of an ingestible device within a gastrointestinal tract of a body. In some embodiments, the ingestible device includes a sensing unit with an axial optical sensing sub-unit located proximal to at least one end of the device, and a radial optical sensing sub-unit located proximal to a radial wall of the device, and may autonomously identify a location within the gastrointestinal tract. In some embodiments, the ingestible device includes optical illumination sources and detectors that operate at a plurality of different wavelengths, and may discern regions of a gastrointestinal tract by using the reflection properties of organ tissue and occasional particulates. In some embodiments, the ingestible device may sample fluid or release medicament based on a detected device location.

The invention provides a glucose hydrogel optical fiber sensor and a preparation method thereof. The glucose hydrogel optical fiber sensor comprises an optical fiber and a glucose fluorescence sensing module fixedly carried on the end face of the optical fiber. Wherein the optical fiber comprises a double-layer hydrogel optical fiber which comprises an inner fiber core and an outer cladding. The glucose fluorescence sensing module is formed by fixing a glucose fluorescence probe containing a boric acid group and a terminal amino group through a covalent reaction between the amino group and an epoxy group in the hydrogel network. The glucose hydrogel optical fiber sensor has excellent performance, high sensitivity and good selectivity, and can realize stable and real-time detection of glucose concentration in a complex physiological environment. The sensor is flexible in structure and good in biocompatibility, does not depend on enzyme reaction, and avoids the problem of signal drift caused by enzyme inactivation; meanwhile, the sensor is good in repeatability, can be integrated with other optical sensing modules to realize multi-parameter synchronous monitoring, and is suitable for long-term dynamic monitoring application in vivo.

The invention relates to an unmanned aerial vehicle interference control method, system and device and a medium, and belongs to the technical field of unmanned aerial vehicle countering, and the unmanned aerial vehicle interference control method comprises the steps: collecting electromagnetic sensing data, acoustic sensing data and optical sensing data of a target unmanned aerial vehicle entering a target monitoring area; constructing a target feature vector of the target unmanned aerial vehicle according to the electromagnetic sensing data, the acoustic sensing data and the optical sensing data; screening a matched target interference strategy from an interference strategy library according to the target feature vector; transmitting an interference signal to the target unmanned aerial vehicle according to the target interference strategy; obtaining an interference efficiency evaluation value of interference on the target unmanned aerial vehicle; and performing interference strategy optimization according to the interference efficiency evaluation value. According to the invention, the interference effect on unmanned aerial vehicle interference is improved.

The application discloses a passive dual-mode tactile sensor and a preparation method thereof, and belongs to the technical field of optical sensing and flexible tactile sensing. The sensor comprises a flexible support substrate, an elastic composite film containing long-afterglow light-emitting particles, micro-nano optical fibers embedded or attached to the surface of the elastic composite film, a flexible packaging layer, and an optical signal detection unit. When an external target approaches, the target surface reflects the scattered light, changes the output light intensity of the micro-nano optical fiber, and realizes non-contact sensing. When the external target contacts or presses, the composite film produces stress-induced luminescence enhancement and interface coupling change under the action of stress, and realizes contact force tactile sensing. The preparation method comprises light-emitting composite layer forming, micro-nano optical fiber taper preparation, interface coupling integration and packaging curing. The application has the advantages of no need for continuous light supply, compact structure, anti-electromagnetic interference, easy flexible integration, and suitability for human-computer interaction application.

The application discloses a temperature-sensitive molecular imprinting sensitive film, a preparation method thereof and application thereof in a glyphosate detection sensor, and belongs to the field of optical sensing technology and environmental monitoring. The application forms an imprinting cavity which is highly complementary to a template molecule in size and spatial configuration in a polymer network, realizes specific identification of a target molecule, and solves the problems of complex sample pretreatment and long detection period of the existing glyphosate detection method. The application introduces a temperature-sensitive material PNIPAM, realizes in-situ, non-destructive and reversible release of the template molecule by temperature control, discards the traditional destructive elution mode, avoids causing serious secondary environmental pollution, avoids the problems of swelling and corrosion of the imprinting cavity caused by strong acid or organic solvent, and causes irreversible damage to the structure of the imprinting cavity, which seriously affects the reuse frequency of the sensor and the detection stability.

The application discloses a kind of magnetically responsive hydrogel optical fiber and its preparation and application, belong to medical biomaterial field.The optical fiber includes from inside to outside: polyethylene glycol diacrylate and acrylamide photocrosslinking light transmission core layer;Calcium alginate low refractive index skin layer;Doped nano-magnetic response layer of ferriferrous oxide;And polydopamine grafting polyvinylpyrrolidone lubricating layer.It is prepared by coaxial extrusion and light / calcium step-by-step crosslinking.The structure realizes the spatial isolation and anti-interference of light transmission and magnetic drive, has low background light loss and anti-bending stability, has biomechanics matching, ultra-low friction and magnetic field accurate active navigation ability, solves the pain point that extremely soft optical fiber is difficult to directional intervention.Suitable for deep tissue precise photothermal therapy, in vivo continuous optical sensing and minimally invasive diagnosis and treatment integration and other frontier medical fields.

The invention relates to an optical probe, in particular to a plasma optical sensing probe for on-line measurement of crude oil viscosity. The probe is composed of a microstructure optical fiber and a nano gold wire. Outer layer air holes and inner layer air holes are arranged in a cladding of the optical fiber, the number of the inner layer air holes is 12 and the inner layer air holes are arranged in a regular hexagon, and the number of the outer layer air holes is 18 and the outer layer air holes are arranged in a regular hexagon. The number of the nano gold wires is two, and the nano gold wires are embedded in two inner layer air holes, close to the fiber core, on the Y axis; the circle center distances between two adjacent outer-layer air holes, two adjacent inner-layer air holes and two adjacent outer-layer air holes and inner-layer air holes parallel to the Y axis are equal; the inner layer air holes and the outer layer air holes are alternately arranged in the direction of the edges of the regular hexagon. The maximum detection sensitivity of the single crude oil viscosity of the probe can reach 36063CP / RIU, the measurement range can reach 4-20000 cP, and the probe can cover wide types from light oil to heavy oil.

To provide an optical sensor capable of performing highly accurate optical sensing of a scene.SOLUTION: The optical sensor includes a unit D1 including x blocks 11, for example, three (x = 3) blocks a, b, and c, each having a plurality of pixels 12 arranged in a first direction 11A in a plan view. The pixels 12 are arranged at a pixel pitch D1 in the first direction P1. The three blocks a, b, and c are arranged side by side in a second direction D1 orthogonal to the first direction D2, and are arranged to be shifted from each other by P1 / 3 in the first direction D1. For example, the light receiving elements 11A and 10b each including the units 10a corresponding to the number of stages of the TDI are arranged so as to partially overlap each other in the D1 in the first direction, and the optical sensing is performed using the blocks a and b in which the positional deviation of the pixels 12 is minimized. In addition, by increasing the size of each of the light receiving elements 10a and 10b in the second direction D2, inclination at the time of mounting, poor connection, and the like are suppressed.SELECTED DRAWING: Figure 10

The invention provides an erbium-ytterbium ion doped Al2O3-YAG composite ceramic sensing material and a preparation method thereof, and belongs to the technical field of crossing of functional ceramic materials and optical sensing technologies, the erbium-ytterbium ion doped Al2O3-YAG composite ceramic sensing material comprises a matrix phase and doped ions, the matrix phase is Al2O3-YAG (aluminum oxide-yttrium aluminum garnet) composite ceramic; wherein the mass ratio of Al2O3 is 30%-70%, and the mass ratio of YAG is 30%-70%; the doping ions are Er < 3 + > and Yb < 3 + >, and based on the total molar weight of the matrix phase, the doping concentration of Er < 3 + > is 0.5-3 mol%, and the doping concentration of Yb < 3 + > is 5-20 mol%; the sensing material realizes temperature sensing under the excitation of 980 nm laser and on the basis of the energy level emission conditions of 2H11 / 2 to 4I15 / 2 and 4S3 / 2 to 4I15 / 2 of Er < 3 + >. The Al2O3-YAG composite ceramic is used as an Er < 3 + > / Yb < 3 + > doped matrix for optical temperature measurement for the first time, and the high-temperature stability is superior to that of fluorescent powder and glass materials; the mechanical strength and the thermal shock resistance are obviously improved; elements are uniformly distributed, and the concentration quenching effect is avoided.

The invention discloses an under-screen fingerprint module automatic alignment calibration system and method based on sensing feedback, and relates to the field of intelligent electronic equipment manufacturing and optical sensing, and the method comprises the steps that a fingerprint recognition module collects a fingerprint image; the position detection sensor units are arranged on the periphery of the fingerprint identification module and are used for detecting offset data of the fingerprint identification module on the X axis, the Y axis and the Z axis based on a screen trepanning theory center coordinate; the control unit outputs corresponding adjusting instructions according to the offset data, detected by the detection position detection sensor unit, of the fingerprint identification module on the X axis, the Y axis and the Z axis; the fine tuning execution mechanism pushes the fingerprint identification module to move to the theoretical center coordinate position of the screen trepanning in the corresponding direction; the calibration reference module stores theoretical center coordinates of screen trepanning; and the locking mechanism controls the position of the fingerprint identification module to be finally locked when the fine tuning execution mechanism pushes the fingerprint identification module to the theoretical center coordinate position of the screen trepanning. According to the invention, the accuracy, the stability and the production yield of fingerprint identification are improved.