16278 results about "Optical path" patented technology

The invention discloses an optical fiber data storage management system and method based on big data, and relates to the technical field of storage management. According to the optical fiber data storage management system and method based on big data, the spatial-temporal characteristics of the historical access records are extracted through the LSTM network, the data heat value is calculated in combination with the time decay function, and the thermal distribution diagram of the data blocks is generated. And based on the thermal distribution map, constructing a storage resource allocation model by using a deep reinforcement learning algorithm, and dynamically adjusting the optical path priority and copy distribution. A data prefetching strategy is optimized through the spatio-temporal joint index and the vector similarity index, and a high-frequency data cache index distribution diagram is generated. And comprehensively considering the data access delay, the index hit rate and the copy migration frequency, obtaining an optical fiber storage efficiency index, and adjusting a storage strategy according to the index. According to the method, the dynamic scheduling and utilization efficiency of data storage resources is effectively improved, the data access delay is reduced, the copy management is optimized, and the overall performance of a storage system is remarkably improved.

The invention relates to the technical field of defect detection, and discloses an integrated circuit mask plate defect multispectral cooperative detection method, which comprises the following steps: carrying out preliminary scanning on a mask plate by using a multispectral camera, selecting an optimal wave band combination, switching to a target wave band through a liquid crystal adjustable optical filter, and obtaining a high-confidence multispectral image; the optical path offset is calculated through the linear relation, the deflection angle of the micro-mirror is dynamically adjusted, and images are collected for the second time after imaging offset is compensated; image filtering and registration are completed in the FPGA, and a high-contrast fusion image is generated; if the confidence coefficient is insufficient, triggering a wave band reselection mechanism to recheck; dynamically optimizing a defect type-spectrum mapping table based on real-time detection data; when the environment fluctuation exceeds the limit, an anti-interference mode is automatically switched, and micro-mirror calibration is triggered; and monitoring performance degradation of the optical assembly in real time, switching redundant optical paths, cleaning damaged parts, triggering manual reinspection when conflicts occur, and finally generating a visual report. According to the invention, the detection accuracy of the integrated circuit mask plate can be improved.

The invention discloses an online monitoring method and system for the light transmittance of an optical lens, and relates to the technical field of precise optical detection. The objective of the invention is to solve the problem of large light transmittance calculation error caused by halo scattering noise interference, low optical path calibration precision of a complex curved lens, a measurement blind area of a large-aperture lens and environmental disturbance of a high-reflection / high-light-transmittance lens in the prior art. According to the scheme, a three-dimensional curved surface model is constructed based on Gray code structured light projection and ICP registration, a dynamic partition scanning instruction set is generated through an improved genetic algorithm, and multi-wavelength polarized light is driven to scan and collect multi-dimensional data; specular reflection and scattering noise are suppressed by combining an improved Stokes vector algorithm and an attention mechanism U-Net network, and the data precision of the complex curved surface is improved by adopting Bayesian optimization and Zernike polynomial weighted fusion; constructing a double-loop coupling optimization architecture to realize closed-loop adaptive optimization; according to the invention, the anti-interference capability, the complex lens adaptability and the full-aperture detection precision are obviously improved.

The invention discloses an on-line detection method for gas in transformer oil based on photoacoustic spectrum self-correction, and relates to the technical field of spectrum detection and power equipment state monitoring, and the method comprises the following steps: S1, emitting modulation laser with a specific wavelength to a gas sample released by the transformer oil through a laser, and exciting gas molecules to generate photoacoustic signals; and S2, detecting the photoacoustic signal by using a photoacoustic sensor, converting the signal into an electric signal, and outputting the electric signal. According to the online detection method for the gas in the transformer oil, the correction coefficient is adjusted in real time through a self-correction algorithm, errors caused by light path changes and sensor aging are effectively compensated, the precision and stability of long-term detection are remarkably improved, and the detection accuracy is improved by combining a gas spectrum database and a mode recognition algorithm. According to the method, accurate qualitative and quantitative analysis of various gases is realized, the problem of cross sensitivity of multiple components is solved, and the method also has temperature and pressure compensation functions and can automatically adapt to environmental changes.

The invention belongs to the technical field of optical precision measurement, and particularly relates to a wafer defect detection system based on dual-channel optical imaging. According to the invention, dark field scattering and diffraction phase microscopy are combined as two optical imaging channels; optical paths of the two imaging modes are compatible and synchronized; through optical system calibration and optimization, high-precision acquisition and alignment of multi-modal images are realized; calibrating the sensitivity and resolution of the system by using a standard sample to ensure that the detection performance meets a preset requirement; carrying out dual-channel synchronous imaging on the wafer sample to be detected, and respectively obtaining a dark field scattering image and a diffraction phase image; carrying out conjoint analysis on the multi-modal data through an image algorithm, extracting size, depth and structure information of defects, and generating a high-precision defect detection report; the system specifically comprises a dark field scattering imaging module, a diffraction phase microscopic imaging module and an image processing unit. According to the invention, the defect of a single imaging mode can be effectively overcome, and the detection precision and robustness of the system are remarkably improved.

The invention discloses an optical transmission network hidden danger detection method and device and a computer program product, which can realize dynamic adjustment of differentiated bandwidth requirements by acquiring optical network state information in real time, evaluating service priority and establishing an optical channel resource allocation model. And when a topology anomaly is detected, constructing a service quality evaluation model by using a long-short-term memory neural network, and quantitatively analyzing the influence of the anomaly on the service. When a fault occurs, distributed link fault detection and a fault diagnosis engine based on a decision tree are adopted, and fault hidden dangers are quickly positioned and classified. And then, through an elastic recovery mechanism oriented to service sensitivity, the service quality level of a standby optical path is adjusted, and an optical layer topology connection relationship is optimized. According to the method, the resource utilization efficiency, the fault recovery capability and the service quality of the optical network are remarkably improved, and an innovative solution is provided for intelligent optical network management.

The invention discloses a pipe online defect detection method and system, and relates to the technical field of image detection. The detection method comprises the following steps: placing a to-be-detected pipe in a dark box environment, irradiating the to-be-detected pipe in a rotating state through a light source, displaying a pipe projection on a projection surface, and setting a detection line at the upper end of the projection surface; comparing the detection line with a set reference line in real time, and marking a suspected warping area according to the local offset; performing three-dimensional image reconstruction on the suspected warping area to generate a simulation three-dimensional point cloud model; the method is technically characterized in that preliminary judgment passes through a grading strategy of'rapid screening-precise reinspection ', and the detection speed and precision are balanced; by means of the optical path principle and threshold value comparison, positioning operation of the whole-surface suspected warping area can be rapidly completed, only data of a local area (suspected warping area operation) is analyzed, the hardware cost and energy consumption are greatly reduced, and the high-speed online detection requirement is met.

The invention relates to the technical field of optical lens defect detection, and particularly discloses an optical lens laser-induced damage on-line detection method and system, a linear polarizer and a narrow-band filter are connected in series in a detection laser light path, non-target polarized light is filtered through polarization direction matching, meanwhile, interference of the environment and scattered light is inhibited through the narrow-band filter, and the laser-induced damage on-line detection system is obtained. According to the method, external source noise such as ambient light and non-target polarized light is reduced through polarization matching and narrow-band filtering, randomness of speckle noise is offset through multi-angle collection and signal fusion in a visual detection mode, exposure is dynamically adjusted, an image is fused to improve the signal-to-noise ratio, noise and real signals are decoupled through self-supervised learning, and the real-time performance of the system is improved. Dust interference is removed in combination with morphological operation; a deep learning reasoning model enhances the damage identification capability in a noise environment, defocusing blur caused by mechanical vibration is eliminated through phase conjugate correction, and the influence of photoelectric conversion noise, dust interference and the like on the detection efficiency and accuracy is remarkably reduced through multi-link linkage.

The invention relates to the technical field of precision detection, in particular to a device and a method for nondestructive testing of a wafer surface. The device provided by the invention comprises a detection light path, a motion control module, a narrow channel detection end, a wide channel detection end and a data acquisition and processing module, the motion control module is used for bearing a to-be-tested wafer and adjusting the position; the detection light path comprises an incident light path, a wide-channel light path and a narrow-channel light path; the incident light path is used for projecting a light beam and vertically projecting the light beam to a wafer to be measured; the narrow channel light path is used for collecting scattered light with the diffusion angle of [5 degrees, 24 degrees] generated on the surface of the wafer to be detected and gathering the scattered light to the narrow channel detection end, and the wide channel light path is used for collecting scattered light with the diffusion angle of [25 degrees, 70 degrees] generated on the surface of the wafer to be detected and gathering the scattered light to the wide channel detection end. According to the device for nondestructive testing of the surface of the wafer, the detection light is vertically incident, the detection light can be reflected out along the original path when the wafer is qualified, and only the defective wafer can generate scattered light, so that the wafer defect can be quickly and accurately identified. According to the wafer defect detection method, the defects of high cost, low precision and high operation difficulty of a wafer defect detection method in the prior art are overcome.

The invention provides a weight metering automatic classification and calibration method and system based on image recognition, and relates to the technical field of weight metering, and the method comprises the steps: carrying out the imaging of the surface of a weight through dual-light-path high-speed camera shooting, carrying out the gamma correction, and extracting contour features and surface defect features; internal density distribution is obtained through X-ray imaging; performing multi-scale feature fusion on the surface features and the density distribution to construct a holographic feature model; analyzing the dynamic change trend of the characteristic parameters based on a deep variational Bayesian network, and performing evaluation and scoring in combination with a gradient boosting decision forest to obtain an initial classification; establishing a dynamic evaluation model by adopting a self-organizing competitive learning network, determining a weight grade and setting calibration parameters; selecting a corresponding reference weight to establish a grading calibration compensation model, and determining an adaptive weight coefficient for dynamic adjustment by combining defect distribution; and predicting a performance degradation trend by adopting a Shenchang differential equation network, and outputting calibration parameters and generating early warning information when the calibration precision meets a threshold value requirement.

The invention discloses a heat shrink tube detection method based on image recognition, particularly relates to the technical field of electric power material defect detection, and is used for solving the problems of defect contour distortion, positioning deviation and insufficient classification precision caused by optical ghost interference in heat shrink tube detection. A mapping relation of light refraction paths is established based on brightness gradient difference and refractive index difference, theoretical ghost interference fringes are generated by dynamically adjusting optical path difference of an interferometer, and abnormal areas deviating from theoretical distribution are screened; meanwhile, light source incident angle optimization and defect displacement calculation are combined, residual ghost interference is eliminated, finally, accurate classification and positioning of defects are achieved through multi-dimensional matching of geometric parameters and historical defect data, complex algorithm dependence is reduced while the detection precision is improved, and the real-time detection requirement of an industrial production line is met.

The invention provides a transmitting-receiving coaxial laser radar optical system, and relates to the technical field of laser radars. The optical system comprises a transmitting assembly, a polarization splitting prism, a quarter-wave plate, a common beam expanding lens group, a micro-lens array, a common lens and a receiving assembly which are arranged in sequence. Laser emitted by the emitting assembly enters the polarization splitting prism, and at the moment, a light beam is linearly polarized light, can pass through the polarization splitting prism and then pass through the quarter-wave plate to reach the shared beam expanding lens group to be collimated and expanded, and finally is emitted for illumination through the micro-lens array and the shared lens; the emergent laser beam is irradiated to an object to return an optical signal, and the returned optical signal is returned to the polarization splitting prism along an original optical path and is reflected into the receiving assembly to be received and processed; according to the invention, the beam splitter prism, the beam expander group and the micro lens array are shared, and the shared lenses are the same and share the lens group, so that the purpose of saving the manufacturing cost of the laser radar is achieved; the method is suitable for automobile automatic driving, distance detection and the like.

The invention discloses a detection and analysis system for an oil-controlling and soothing extract, particularly relates to the field of extract detection, is used for solving the problem of accurate quantitative analysis of complex components, and is characterized in that omnibearing characteristics of a sample are synchronously acquired and captured through multiple spectrums, and the information is fused into a high-dimensional data framework, so that the limitation of a single spectrum is avoided; thirdly, noise is removed through accurate calibration, sparse decomposition and cross-modal verification are combined, and it is ensured that extracted component signals truly reflect chemical characteristics and are not covered by redundant interference; on the basis, a clear signal of a target active component is further separated by utilizing dynamic convolution and an attention mechanism, and irrelevant background influence is eliminated; finally, through segmented modeling and geometric constraint, absorbance change is accurately converted into concentration data, and the concentration data can be kept stable even under the background fluctuation or nonlinear condition, so that the quantitative inversion error of the active component is reduced under the scene of background signal fluctuation or non-uniform optical path, and the accuracy of a determination result is improved.

The invention belongs to the technical field of retina imaging and fundus three-dimensional reconstruction, and particularly relates to a color three-dimensional fundus imager optical system. Comprising a large eye objective lens, a dichroscope, a hollow reflector, a focusing lens, a spectroscope, a retina lens, a retina imaging chip, a fixation lens, a sighting mark lamp, an illumination lens, an annular light source, a pupil lens, a pupil imaging chip, an infrared lens, an infrared dodging lens, an infrared light source, a scanning lens, a three-dimensional galvanometer, a collimator, a coupler, a frequency sweeping light source and a dispersion compensator. A polarization controller, a coupler and a photoelectric detector. The system is mainly composed of a visible light imaging light path, an infrared imaging light path and a laser imaging light path, the visible light imaging light path is used for shooting color fundus two-dimensional images, the infrared imaging light path is used for real-time positioning and focusing of human eye pupils, and the laser imaging light path is used for three-dimensional tomography of retinas. The objective of the invention is to solve the problem that existing medical equipment cannot acquire fundus color three-dimensional images.

The invention relates to the cross technical field of atmospheric science and communication technology, in particular to an atmospheric refraction and waveguide environmental parameter detection and prediction method and device, and the method comprises the following steps: carrying out the power distribution of a light beam of a broadband light source through employing a light splitting element based on the emission of the broadband light source, and forming a detection light beam and a reference light beam, and guiding the detection light beam to pass through a preset open atmosphere optical path, and guiding the reference light beam to pass through a known refractive index stabilizing medium or a vacuum pipeline. The detection light beam and the reference light beam are formed through light splitting of the broadband light source, the detection light beam penetrates through the open atmosphere path, the reference light beam passes through the stable medium, Fourier transform is carried out on interference signals of the two light beams to extract wavelength phase difference mapping data, and tiny optical path change caused by atmospheric refractive index disturbance can be captured. Compared with the traditional single-point or single-path measurement, the sensing sensitivity and the measurement dimension of the atmospheric refractive index spatial nonuniformity are improved by using the broadband spectral information.

The invention discloses a laser processing method and device for a special shell, and the method comprises the steps: S1, obtaining the structural feature data of the shell through three-dimensional scanning, planning a laser processing path according to the structural feature data, and generating a processing path file; s2, starting a dust removal assembly, emitting positioning laser at the same time, measuring the optical path offset through a photoelectric detection assembly, and generating calibration parameters; s3, the light transmittance change of the light blocking assembly is controlled based on the calibration parameters, and a stable laser beam is formed by adopting a closed-loop control strategy; s4, a stable laser beam irradiates the surface of the shell along the machining path, and the irradiation position is dynamically corrected in combination with the deformation prediction model; s5, local laser strengthening is conducted on the machined key area, and meanwhile the machining path file of the next period is optimized; a light blocking assembly with adjustable light transmittance is combined with a closed-loop control strategy to dynamically adjust laser energy, deformation prediction and spectral analysis provide real-time quality guarantee, the process is continuously optimized through iterative optimization of a digital model, and a high-quality shell finished product is obtained.

The present invention belongs to the field of water-jet guided laser micro-hole machining. Specifically, provided is a machining apparatus for a water-jet guided laser micro-hole with a high surface quality, the apparatus comprising: a nanosecond laser device, which is turned on on the basis of a control instruction of a machining control system and refracts an incident laser into a laser water-jet coupling head by means of an optical path transmission unit; a CCD camera, which is arranged above the optical path transmission unit, wherein the laser enters a detection optical path by means of the optical path transmission unit and images on the CCD camera, so as to detect the position of a laser spot diameter at a nozzle of the laser water-jet coupling head in real time, and to complete the coupling of the laser and a water jet; and the laser water-jet coupling head, which is used for coupling the laser, which is focused in the coupling head, and a high-pressure water flow, which enters a coupling cavity through a pipe of a water cavity sidewall, at small holes of the nozzle, so as to perform micro-hole machining on a workpiece. By means of the present invention, interference with a stable jet is reduced, and a micro-hole with a high roundness, a low taper and a good outlet / inlet morphology can be machined, thereby improving the machining efficiency, while also ensuring the precision and quality of micro-hole machining.

The invention discloses a holographic sight based on a volume Bragg grating, and belongs to the field of holographic optics. The holographic sight comprises a sight housing, a semiconductor laser, a wave-locking element, a beam expander, an off-axis parabolic reflector and a holographic grating. The wave-locking element is a reflective volume Bragg grating, and the holographic grating is a transmissive volume Bragg grating. Both have excellent selectivity for the wavelength and incident angle of light. At the same time, both are made of photothermorefractive glass, which is less affected by the external temperature and can effectively reduce the deviation of the output wavelength, thereby reducing the deviation of the holographic grating mark image and increasing the accuracy and stability of the holographic sight. The photothermorefractive glass has a high refractive index modulation degree, which achieves a higher holographic diffraction efficiency, making the displayed holographic image brighter and more recognizable. In addition, the components of the beam expander and the off-axis parabolic reflector are used to shorten the optical path and reduce the overall structural size of the sight.

The invention discloses an optical communication network route optimization method and system, particularly relates to the technical field of multi-domain optical network collaborative networking, and is used for solving the problem of path selection deviation caused by topology abstraction and simplification in an existing multi-domain optical network. Intra-domain topology compensation parameters representing potential path resource consumption in sub-domains are reversely generated by acquiring inter-domain topology abstract information of a cross-domain optical network, and a hidden link competition relationship shared by cross-domain optical paths is dynamically monitored in combination with real-time link resource data to generate a competition intensity index; evaluating a port resource consumption weight based on a compensation parameter and a competition intensity index, fusing a load state to generate an optimal port selection weight, and finally screening a global path through a weight priority and triggering an optical switching node instruction to establish a cross-domain optical path; dynamic collaborative optimization of resource consumption and competition conflicts in the multi-domain optical network is realized, the accuracy of cross-domain path selection and the global utilization rate of network resources are effectively improved, and the risks of redundancy jump and local link congestion are reduced.

The invention relates to the technical field of solar cell processing, in particular to a laser light-transmitting scribing control method and system for a solar thin-film cell. The control method comprises the steps that a large-size substrate is divided into a plurality of galvanometer view fields through a dynamic flight continuous machining mode, a continuous snake-shaped machining path is generated, the laser machining platform is driven to continuously move at the constant speed, and the galvanometer scanning system is synchronously triggered to start lineation in a splicing area in advance. According to the method, a time domain coupling equation of galvanometer scanning frequency-platform movement speed-laser pulse sequence is established, and dynamic compensation of an optical path and self-adaptive adjustment of energy density are achieved in the continuous machining process. Based on a view field expansion algorithm of a nonlinear kinematics model, the phase deviation of a scanning vector and a motion vector is effectively inhibited, and the geometric continuity of a splicing interface in ultra-long stroke machining is guaranteed.

The invention relates to a quick alignment method for optical coupling equipment, which comprises the following steps of: acquiring real-time position information of a laser transmitting end and a laser receiving end, acquiring relative position data by adopting a fiber grating technology, setting a dynamic compensation algorithm according to a light spot offset and a position deviation value, generating an adjustment parameter through the dynamic compensation algorithm, and aligning the adjustment parameter to the optical coupling equipment. According to the method, the structural design of optical coupling equipment is optimized, a high-precision light spot imaging module and a fiber grating positioning module are integrated, and a multi-point data fusion technology and an optical path alignment model in a dynamic environment are utilized, so that the measurement precision is further improved, and the influence of environmental interference is reduced. According to the invention, the problems of real-time performance and accuracy of light path alignment in kilometer-level laser measurement are effectively solved, and a new solution is provided for the development of a long-distance laser measurement technology.

The invention relates to a method and a system for detecting the concentration of trace methane by locking the position of an absorption peak, and belongs to the technical field of laser gas detection. Modulated laser output by a laser is divided into two paths, one path enters a reference light path, the other path firstly passes through a gas absorption cell and then enters an actual detection light path, and methane gas with known concentration is sealed in the reference light path; demodulating a modulation signal output by the actual detection light path, and calculating to obtain a trace methane gas concentration value; and demodulating the modulation signal output by the reference light path to obtain a second harmonic signal, comparing the amplitude of the second harmonic signal with the amplitude of a harmonic signal corresponding to a preset methane absorption peak to generate a wavelength shift error signal, and adjusting the driving parameter of the laser through a feedback mechanism to generate a wavelength shift error signal. The output power and wavelength drift of the laser are monitored in real time, and it is ensured that the laser wavelength is always locked within the methane absorption peak range. According to the invention, high-precision and high-stability trace methane concentration detection can be realized.

The invention relates to the technical field of textiles. The invention discloses a textile dyeing uniformity detection system, a detection method and a dyeing method. The device comprises a light source supply device which is arranged above a textile and is used for providing light sources with two wavelengths and generating monochromatic coherent light, a dielectric layer supply device for forming a uniform dielectric layer, a reflective light path device for splitting beams and guiding the beams to form an interference area, and an image acquisition device for acquiring interference fringe images, the angle adjusting device is used for adjusting irradiation and acquisition angles; and the image processing device is used for analyzing signals and identifying non-uniform dyeing areas and flaws. A high-precision detection system is constructed, the light source and the dielectric layer cooperate to realize micron-sized defect recognition, the visibility of interference fringes is improved to 0.8 or above, and the dynamic tension frame guarantees the precision. The reflective light path and angle adjusting device adapts to a complex environment, a detection method and a dyeing method are cooperated, and through pretreatment, quantitative analysis and multi-dimensional verification, the misjudgment rate is greatly reduced, and the detection speed adapts to production.

The invention relates to the technical field of spectral analysis, in particular to an intelligent spectral pesticide residue detection system which comprises a spectral data acquisition module, a spectral feature analysis module, a pesticide spectral feature classification module, a spectral matching weight optimization module and a pesticide residue concentration analysis module. In the invention, by collecting spectral signals of a pesticide sample in different wavelength ranges and combining time, space and frequency dimension information, the comprehensiveness of data collection is ensured, spectral data is analyzed in multiple dimensions, mutation features are extracted, associated frequency bands are identified, angle deviation is eliminated, and the accuracy and reliability of spectral features are improved; classification is performed according to spectral distribution differences and change rates, detection resolution is improved, spectrum matching rules are optimized, high-contribution wavebands are screened, detection accuracy is improved, concentration normalization analysis is combined, key feature contribution values are adjusted, misjudgment risks are reduced, optical paths are optimized, optical loss is reduced, signal acquisition stability is improved, and adaptability of a detection system is enhanced.

The invention provides a container multi-angle imaging quality detection method and system, and the method comprises the steps: carrying out the illumination and imaging of a target container from a plurality of preset visual angles through employing light sources with different wavelengths, and obtaining a refraction displacement fingerprint data set; carrying out regional division on the surface of the container according to the data set, calculating the refraction influence degree of each region under different visual angles, and generating a regional visual angle weight distribution diagram; performing optical path reverse tracking processing on the images acquired at each view angle by using the distribution map, constructing a light propagation path model, and performing position mapping and distortion compensation to obtain a corrected image; and finally, according to the corrected image and the regional view angle weight distribution diagram, defect detection is carried out by adopting a regional adaptive fusion algorithm. According to the method, through technical means such as region adaptive division, optical path reverse tracking and region adaptive fusion, multi-view images can be accurately aligned and fused, meanwhile, observation characteristics of different regions are considered, and the reliability of a defect detection result is ensured.

The invention discloses a wafer detection focusing method and device, electronic equipment and a computer storage medium. The method comprises the following steps: when a target detection point of a to-be-detected wafer moves to an imaging center position of a detection camera, obtaining a wafer warping degree which is obtained by carrying out distance measurement on the target detection point and is corresponding to a distance measuring instrument; and controlling the detection camera to focus according to the wafer warping degree corresponding to the target detection point and the initial focal length of the detection camera, so that a to-be-detected wafer image shot by the detection camera at the target detection point meets a preset detection requirement, and the wafer detection speed and precision are improved. Meanwhile, the detection camera and the range finder are coaxial, the range finder is always located in front of the scanning path of the detection camera, an independent light path and the range finder are used for focusing, interference of irregular reflection or scattered light generated by the range finder focusing and ranging light path on an imaging light path of the detection camera is avoided, and the stability and reliability of wafer detection are improved.

The invention discloses a vision-based molded lens edge thickness detection method and a related device. The method comprises the following steps: introducing visible gas into an edge area of a molded lens to form a gas film disturbance layer; the gas film disturbance layer is excited by illumination to generate refractive index change; collecting an interferometric phase image corresponding to the scattered light intensity; carrying out Fourier transform analysis on the interference fringes and carrying out temperature correction; and finally, calculating edge thickness distribution through feature space mapping. A gas film disturbance layer is introduced to the edge of the lens to serve as a physical signal conversion bridge, and a multi-light-path interference imaging and spectrum analysis technology is matched, so that the interference problem of a transparent material in direct optical measurement can be effectively avoided, high-precision and non-contact detection on the edge thickness of the molded lens is realized, and the detection precision is improved. And meanwhile, the device has the characteristics of high environmental interference resistance and good measurement stability.

The invention discloses a patterned wafer defect detection system and method based on double-optical-comb space-time coding, and the system comprises a double-optical-comb light source module, a space coding illumination module, a time programming control module, a signal collection and processing module, and a data analysis and processing module. And the data analysis processing module receives and analyzes the restored three-dimensional shape information of the surface of the wafer to be detected, extracts defect related characteristics, establishes a mapping relation between spectral characteristics and defects, and identifies the defects on the surface of the wafer to obtain corresponding defect types and position information. According to the invention, a wafer defect detection technology based on double-optical-comb space-time coding is adopted, rapid scanning and parallel detection are realized by using a double-optical-comb interference technology, the detection efficiency is greatly improved, and absolute distance information of the wafer surface can be obtained. The result is fed back to the precise air floating motion platform, so that an automatic focusing optical path system and a feedback control part can be omitted, the detection efficiency is improved, and the size, complexity and cost of the whole wafer detection system are reduced.

Disclosed is a skin care treatment device. The skin care treatment device according to an embodiment of the present invention includes: a main body; a suction header having a suction port, which comes into contact with skin, at an end portion protruding outward from the main body; a light irradiation module for irradiating the user's skin, which comes into contact with the suction port, with light that is generated when power is applied; a suction module that is provided inside the main body and applies negative pressure for raising a treatment site of the skin, which comes into contact with the suction port, to the suction port when power is applied; at least one optical sensor for sensing and measuring light that enters through an optical path formed at the end portion of the suction port which comes into contact with the skin; and a control unit electrically connected to the light irradiation module and the suction module. The control unit can selectively control the operation timing of the suction module by determining the contact state between the suction port and the skin on the basis of a measurement value detected by the optical sensor.

The invention belongs to the field of image generation, particularly relates to a three-dimensional image generation method based on spherical reflection cavity parameter optimization, and aims to solve the problems of low imaging precision and poor adaptability caused by lack of a collaborative optimization mechanism in the prior art. The method comprises the following steps: acquiring optical characteristics of the inner wall of a cavity to generate a reflection path offset comparison table, measuring deformation deviation of the cavity to construct a geometric compensation mapping relation, and monitoring environmental disturbance in real time and converting the environmental disturbance into a noise intensity coefficient; inputting the target three-dimensional image into a pre-compensation processor, synchronously executing optical path compensation, geometric distortion correction and environmental noise suppression, and outputting a pre-corrected image to projection equipment; capturing an actual projection through an image sensor, extracting difference data with the pre-corrected image, and decomposing the difference data into a system error component and an environment interference component; and feeding back the updated parameters to the processor to regenerate a final three-dimensional image. According to the invention, multi-error-source cooperative correction and dynamic optimization are realized, and the imaging precision and adaptability are significantly improved.