958 results about "Optical sensing" patented technology

The invention provides an industrial park soil and groundwater pollution early warning grade evaluation method and system.The method comprises the steps that production raw material components of pollution source enterprises, waste discharge data and soil heavy metal concentration evolution data in historical pollution events are integrated, optical sensing data of earth surface and underground monitoring points are combined, and the early warning grade of soil and groundwater pollution is evaluated; constructing a dynamic characteristic factor library reflecting pollution source characteristics; carrying out spatial concentration gradient calculation on the optical sensing data based on the characteristic factor library, and generating a dynamic heat map containing heavy metal distribution and migration trends at the same time; performing cross-modal analysis on the pollution source characteristics and the dynamic heat map, and establishing a spatio-temporal evolution trajectory of a pollution diffusion path; according to the diffusion rate and direction in the track, differentiated pollution risk early warning intervals are divided, and a targeted grading prevention and control strategy is generated. According to the invention, the timeliness of pollution early warning and the targeting of prevention and control measures are improved.

The invention relates to the field of civil engineering structure health monitoring, in particular to a subsea tunnel damage intelligent monitoring and identification method based on acousto-optic collaborative perception. The method sequentially comprises the steps of deploying a three-dimensional acousto-optic sensing network, actively detecting sound waves, reconstructing a local sound velocity distribution cloud picture, identifying a sound velocity abnormal region, performing optical fiber response focusing sampling and establishing an intelligent damage diagnosis model. According to the method, the three-dimensional acoustic array and the distributed optical fiber grid are simultaneously deployed in the subsea tunnel structure, functional complementation is realized between the three-dimensional acoustic array and the distributed optical fiber grid, seamless cooperative sensing of crack coarse positioning and strain fine positioning is further realized, acoustic active detection, trigger type optical fiber high-frequency sampling and a temperature-strain decoupling algorithm are adopted, and the positioning precision of the subsea tunnel structure is improved. Seawater noise and thermal expansion interference are effectively eliminated, 'dry cracks' and'water seepage cracks' are accurately distinguished, real-time monitoring is carried out on a subsea tunnel structure, whole-process identification of micro-damage-expansion-failure is achieved, and an active early warning mechanism is established.

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 relates to an optical probe, in particular to a plasma optical sensing probe for online trace detection of biological threat factors. The sensing probe is composed of a microstructure optical fiber and a nano gold wire; the optical fiber is provided with two micro grooves which are symmetrically distributed, and the gold nanowires are located at the bottoms of the grooves; four inner-layer large air holes and two outer-layer small air holes are formed in the cladding of the optical fiber, and every two of the four inner-layer large air holes form a group and are symmetrically distributed relative to the groove; and the two outer-layer small air holes are symmetrically distributed relative to the micro groove. The radius of the optical fiber is 16 microns; the depth of the micro groove is 8 microns; the radius of the nano gold wire is 500 nm; the radius of each inner-layer large air hole is 4 microns, and among the four inner-layer large air holes, the horizontal circle center distance of the inner-layer large air holes is 13 microns, and the vertical circle center distance of the inner-layer large air holes is 11 microns; and the radius of the small air holes in the outer layer is 1.5 microns. According to the probe, efficient and accurate biomolecule detection is realized, and reliable technical support is provided for early diagnosis and timely treatment.

The invention provides an intelligent POB module integration platform and a control method thereof, and the method comprises the steps: detecting the state data of each pixel point of an LED display screen through an optical sensing array, obtaining a damaged pixel point in the LED display screen, recording the damaged pixel point to a storage unit, and maintaining a dead pixel position table in the storage unit; compensating the brightness of the bad pixel points through the neighborhood pixel points; the display content of the LED display screen is predicted through AI during compensation, and the refresh rate of the LED display screen is dynamically driven according to the predicted display content; according to the physical pixel density, the LED display screen is divided into grid partitions, the grid partitions are sorted according to priorities, the real-time power consumption of each partition is calculated after the LED display screen is refreshed, and if the real-time power consumption is larger than a preset threshold value, the current and the duty ratio of the low-priority area are reduced. Through the control method, a compensation scheme can be started in time after a dead pixel occurs, the maintenance and replacement cost is reduced, and the operation and maintenance efficiency is improved.

Methods and systems for anomaly detection include measuring time-series data about a system using an optical sensing system. The time-series data is adapted to natural language data. One or more anomaly detection models are selected based on the natural language data and a task. An anomaly is detected in the system using the selected one or more anomaly detection models. A corrective action is performed responsive to the anomaly.

The invention relates to the technical field of peritoneal drainage, in particular to a peritoneal drainage system based on hemoglobin real-time monitoring and intelligent early warning. According to the technical scheme, the device comprises an abdominal cavity drainage tube, an optical sensing module, a microprocessor module and a wireless communication module, wherein the microprocessor module is configured to perform moving average filtering and dynamic trend modeling on hemoglobin concentration data; and triggering early warning according to a preset multi-level alarm condition. The hemoglobin concentration in the peritoneal drainage liquid is accurately monitored in real time, intelligent early warning and a personalized response mechanism are combined, the limitation of traditional manual observation is broken through, the timeliness and accuracy of bleeding risk identification are remarkably improved, the infection risk is reduced through the closed design, the medical care working process is optimized through the system integration capacity, and the medical care efficiency is improved. Data sharing and remote cooperation are achieved, intervention time windows are shortened, patient prognosis is improved, nursing resources can be released, medical quality is improved, and a comprehensive and efficient solution is provided for postoperative monitoring.

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 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.

The invention provides a chemical mechanical polishing film thickness real-time control method, device and equipment, and relates to the technical field of chemical mechanical polishing equipment. According to the invention, the optical sensing module is arranged in the vertical hole of the polishing disk, so that the reflected light intensity of the wafer can be monitored in real time in the CMP process. By adopting the optical sensing module, the corresponding relationship between the film thickness of samples with different thicknesses and the reflected light intensity is obtained. Therefore, the real-time film thickness can be determined in the CMP process according to the corresponding relation and the reflected light intensity monitored in real time, and chemical mechanical polishing film thickness real-time control is carried out on the target wafer. Time waste caused by multiple times of shutdown for film thickness detection in a traditional method is avoided, and the chemical mechanical polishing efficiency is improved.

The invention relates to a somatosensory glove and system based on a flexible photoelectric dual-mode sensor. The somatosensory glove based on the flexible photoelectric bimodal sensor comprises a glove body, the flexible photoelectric bimodal sensor and a control circuit, the flexible photoelectric bimodal sensor is arranged on the glove body and can deform along with the hand action of a user so as to collect an original bimodal signal; the control circuit is electrically connected with the flexible photoelectric dual-mode sensor, and is used for preprocessing an original dual-mode signal acquired by the flexible photoelectric dual-mode sensor to obtain a preprocessed dual-mode signal, and then transmitting the preprocessed dual-mode signal to computing equipment. According to the flexible photoelectric bimodal sensor, bimodal signals caused by hand actions can be respectively collected from two angles through the optical sensing layer and the electric sensing layer, so that richer and more comprehensive action detail information is captured, and the accuracy and sensitivity of action capture are improved.

The invention provides an intelligent marine emergency equipment automatic positioning method and system. Wherein multiple distress signals are received and fused, and optimal geographical location information and timestamps are generated; determining a distress area on a preset sea area electronic map, correcting a distress position, evaluating probability distribution of each potential distress area, and generating a primary search target with the highest probability; a thermal imaging and optical sensing system on the rescue unmanned aerial vehicle is started for scanning, and a high-accuracy potential survivor position is generated; the search and rescue path is dynamically adjusted and optimized, the search strategy is adjusted, the optimal flight path is updated in real time, and an economical and efficient search and rescue path plan is generated; and timely feeding back the accurate coordinates of the position of the potential survivor to the nearest rescue coordination center, and guiding first-aid equipment to go along the optimal path to implement rescue. According to the technical scheme provided by the invention, the search and rescue efficiency and accuracy are improved, and the position of a potential survivor can be quickly and accurately positioned.

The invention relates to the field of solid analysis, in particular to a diamond polishing and grinding online detection system which comprises the following steps: firstly, synchronously acquiring optical sensing data and thermal sensing data of the surface of a to-be-detected diamond; then, processing the acquired sensing data to detect and identify various physical characteristics of the surface, including a surface defect state, thermally induced anomaly distribution and self-calibrated surface roughness, and tracking an evolution trend of related characteristics, so as to generate a preliminary multi-dimensional characteristic analysis result; and finally, generating a comprehensive diamond defect surface physical property online evaluation report by integrating various analysis results. The method mainly solves the problems that the multi-dimensional physical characteristics of the surface of the diamond are difficult to evaluate in real time, accurately and comprehensively and the change of the surface state is difficult to respond quickly by a traditional detection means, and aims at comprehensively evaluating the surface quality of the diamond through automatic online analysis and providing a basis for guaranteeing the quality of a final product and optimizing a grinding process.

The utility model discloses a machine tool guide rail straightness optical fiber detection device, which belongs to the technical field of optical sensing detection, and comprises a bottom plate, the top of the bottom plate is fixedly connected with two linear guide rails, and a servo motor is arranged at the top of the bottom plate close to the linear guide rails. The output end of the servo motor is fixedly connected with a lead screw, the outer wall of the lead screw is slidably connected with a sliding block, the front end and the rear end of the sliding block are each fixedly connected with two telescopic rods, and an adjusting detection mechanism is arranged between every two telescopic rods. Due to the fact that the adjusting and detecting mechanism is assembled and attached to the outer wall of the target linear guide rail, when the adjusting and detecting mechanism moves on the target linear guide rail and fine deviation of the target linear guide rail occurs, the fine deviation can be detected, and the detection accuracy can be effectively improved through the adjusting and detecting mechanism.

The invention provides a four-port single-mode grating filter combined with a semi-symmetric fano resonance structure, and relates to the field of optical communication and optical sensing, and the filter comprises an F-P cavity and two bending coupling waveguides which are symmetrical up and down; the F-P cavity is arranged between the two bent coupling waveguides; the Bragg grating comprises a central waveguide, a conical grating and a Bragg grating; and two small circular holes are formed in each bent coupling waveguide. According to the technical scheme of the invention, two circular small holes are designed in each of the upper and lower bent waveguides to construct a semi-symmetric Fano resonant structure, and the two groups of circular small holes are in central symmetry. By constructing a semi-symmetric Fano resonant structure, the transmission efficiency of the drop end on the four-port single-mode grating filter is improved.

The invention relates to a topological photonic crystal-based optical filter design method, equipment and medium, and the method comprises the steps: constructing a periodically arranged photonic crystal flat plate, and enabling a super unit to be composed of a topological non-trivial unit and a topological trivial unit, and the topological characteristic and the arrangement mode of the topological non-trivial unit are determined by calculating the two-dimensional bundling phase so as to form a topological defect state. And then, by adjusting the width of the air micropores and the defect spacing, the flatness and the coupling strength of a defect state energy band are optimized, and the stability of the resonant wavelength is ensured. Full-wave electromagnetic simulation is adopted to test transmission spectrums under different incident angles, the angle insensitivity characteristic of resonant wavelength is verified, and key structure parameters are iteratively optimized. Finally, an optical filter with efficient filtering, low energy consumption, high integration level and anti-interference capability is output, and the optical filter is widely applied to the fields of optical communication, optical sensing, high-precision spectral analysis and the like.

The invention discloses a light-sensing external trigger signal output device for laser far-field parameter analysis, comprising: a light signal detector, used for collecting laser signals irradiated on a target plate and outputting a pulse current signal; a signal primary amplification module, used for converting the pulse current signal into a pulse voltage signal and amplifying the pulse voltage signal; a signal superposition amplification module, used for amplifying the pulse voltage amplification signal output by the signal primary amplification module again; a laser pulse signal judgment module, comprising a comparator, used for setting a signal judgment threshold value, the comparator being connected to a monostable trigger, and the monostable trigger sending a trigger signal when the pulse signal is greater than the signal judgment threshold value set by the comparator; an MCU main control module, used for interrupt processing, trigger signal delay and output frequency setting, trigger signal output and transmitting a timing control signal to an imaging camera; a power management module, connected to an external power supply and supplying power to the remaining modules.

The invention discloses a guided-mode resonance refractive index detection device and method based on a longitudinal gradient grating structure, and belongs to the technical field of optical sensing and imaging spectrum detection, the guided-mode resonance refractive index detection device comprises a light source, an optical isolator, a polarization controller, a collimation beam expander, a guided-mode resonance sensing chip, an image detector and a signal processing unit which are connected in sequence; the guided-mode resonance sensing chip is of a transmission type structure, the top of the guided-mode resonance sensing chip is provided with a strip-shaped nano structure which is consistent in period but longitudinally gradually changed, and an image detector is arranged below the guided-mode resonance sensing chip and used for receiving a transmission light signal penetrating through the guided-mode resonance sensing chip, generating a transmission light image and transmitting the transmission light image to the signal processing unit; and the signal processing unit is used for analyzing the transmitted light image and inverting the refractive index of the medium to be measured according to the structure mapping model. According to the invention, the longitudinal structure gradual change characteristic is introduced into the guided-mode resonance chip, so that the spatial distribution control of the monochromatic light resonance response position is realized, and finally the imaging refractive index sensing without an optical splitter is realized.

The invention relates to a self-adaptive on-chip optical coherence beam combiner and a method thereof, and belongs to the technical field of integrated photonics and optical coherence combination. Aiming at the problems of difficult phase matching, high system complexity, insufficient stability and the like in the prior art, the invention provides an efficient solution based on an intelligent optimization algorithm and a closed-loop feedback mechanism. The optimal voltage setting is quickly found through an intelligent optimization algorithm, and accurate phase and amplitude adjustment of the multi-path input light field is realized; based on a closed-loop feedback mechanism, the phase and amplitude of the beam combining unit are monitored in real time and dynamically adjusted, and the stability and reliability of the system are ensured. The high-integration-level on-chip optical system is realized, the complexity and the operation difficulty of the system are remarkably reduced, and meanwhile, the performance of each beam combining unit is ensured to be optimal through step-by-step optimization, so that the output power of a beam combining port is maximized. The method can be applied to the fields of optical communication, optical sensing and the like, and a new solution is provided for development of the optical coherent combination technology.

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 optical fiber sensing phase demodulation method and system, and belongs to the technical field of optical sensing. According to the invention, line width lt is adopted; a 1MHz laser is used as a light source, a low-frequency or high-frequency current modulation signal introduced at the light source is eliminated by introducing a reference interferometer and combining a cross subtraction algorithm and arc tangent operation, the requirement for the line width of the light source is reduced, and the cost and complexity of the system are remarkably reduced; a large-amplitude phase excitation signal is introduced through a low-frequency or high-frequency current modulation signal, ellipse closing is forced, the limitation that the signal amplitude is larger than or equal to pi / 2 in a traditional ellipse fitting method is avoided, the problem of parameter mismatch is solved, meanwhile, introduction of a modulator or a frequency shifter is avoided, and the size and power consumption of the system are further reduced. A reference interferometer with a symmetrical structure is introduced, a light source modulation signal and frequency jitter noise are eliminated in combination with a cross subtraction algorithm, and the demodulation precision and stability are improved.

The invention discloses a refractive index sensing chip of an integrated BIC metasurface laser, which integrates a vertical cavity surface emitting laser (VCSEL) and a novel ball road pattern metasurface designed based on a BIC theory, and designs a high-sensitivity refractive index sensor by using a continuous domain bound state theory. The ball road pattern structure is prepared through electron beam lithography and a gold evaporation-stripping process, has uniform nanoscale patterns, and can realize high refractive index sensitivity. The chip can be used in the field of biosensing. By optimizing structural parameters and a preparation process, the optical sensing chip with high integration level and high sensitivity is realized, and a new solution is provided for unmarked biological detection.

A dirt detection device, a dirt detection method, a joint calibration method, and a robot. The device comprises: one or more sensors arranged on the body of a robot, wherein each sensor comprises an optical sensing component, and / or an acoustic wave sensing component and / or an electromagnetic sensing component and is used for acquiring, by means of the optical sensing component, and / or the acoustic wave sensing component and / or the electromagnetic sensing component, information related to the ground of a region to be detected; and a processing module used for extracting feature information from the acquired information related to the ground of said region and implementing dirt detection on the basis of the feature information. By using the dirt detection device, automated and intelligent detection of dirt by the robot can be implemented while a reliable detection rate is ensured, and the present invention is simple and easy to implement.

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.

Embodiments of the present application relate to the technical field of optical sensing, and provide a laser array and a laser radar. The differential resistance of the laser array is adjustable, and the optical power of output emitted laser light is adjustable. The laser array comprises a first laser and a second laser; the first laser comprises a first reflecting layer, a first active layer, and a second reflecting layer which are sequentially arranged in an epitaxial direction, and a first oxidation hole is formed in the second reflecting layer; the second laser comprises a third reflecting layer, a second active layer, and a fourth reflecting layer which are sequentially arranged in the epitaxial direction, a second oxidation hole is formed in the fourth reflecting layer, a light blocking layer is further provided on the side of the fourth reflecting layer away from the second active layer, and the projection of the light blocking layer on the second active layer overlaps the projection of the second oxidation hole on the second active layer; the first laser is electrically connected to the second laser.

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.

An artificial reef structure including thin tensile members as part of the structure. These tensile members readily accumulate marine life to create a more organic structure. The reef structure can accommodate a wide variety of ocean sensing and communication systems. Embedded lighting and electronic elements can be used to attract and monitor marine life.

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.