2585 results about "Mirror plane" patented technology

The invention discloses an intelligent steel pipe surface defect recognition system based on deep learning, and particularly relates to the technical field of pipe surface defect analysis. An annular polarization light source array and a high-frame-rate CMOS sensor are adopted to synchronously collect visible light and near-infrared multi-polarization images; a surface normal is calculated based on Stokes parameters, mirror surface suppression and diffuse reflection enhancement are realized, a defect candidate area is generated by fusing multi-scale Laplacian pyramid residual error and Renyi entropy segmentation threshold positioning, multi-physical quantity registration is completed through white light interference and infrared thermal imaging, a six-channel feature cube is constructed, and a three-dimensional image is obtained. According to the method, space, spectrum and thermal characteristics are jointly extracted in the multi-head attention convolutional neural network, the confidence coefficient is evaluated in combination with Jensen-Shannon divergence, and the polarization angle and the focal length are dynamically adjusted according to the confidence coefficient, so that closed-loop parameter self-optimization is realized, and the micro-scale pitting corrosion and millimeter-scale crack detection precision is remarkably improved.

The invention discloses a multi-mode end point detection system and method for a semiconductor dry process, and relates to the field of gas concentration detection. A gas absorption cell; the reference light path adjusting unit comprises an adjustable attenuator used for adjusting signals; the first photoelectric detector is used for detecting a transmission signal; the second photoelectric detector is used for detecting a reference signal; the lateral scattered light detector is used for detecting a scattered signal of the particulate matters in the gas absorption tank; and the signal processing unit is in signal connection with the first photoelectric detector, the second photoelectric detector and the lateral scattering light detector and is used for performing compensation calculation on the transmission signal based on the reference signal and the scattering signal so as to obtain a corrected gas absorption signal. By adopting the scheme, measurement signal distortion caused by optical mirror surface pollution and particulate matter scattering interference in a semiconductor tail gas optical detection technology is avoided.

The invention belongs to the technical field of optical detection, and particularly relates to a global power wave aberration prediction-based Ritchey-Common detection method and system, and the method comprises the steps: firstly building a three-dimensional optical model through the parameters of a standard spherical mirror, a to-be-detected plane mirror and an interferometer, and combining a preset Ritchey angle and an out-of-focus / astigmatism coefficient, injecting vibration and temperature noise by using Monte Carlo simulation to generate an enhanced training data space; secondly, constructing a phase error adjustment model based on an adversarial network, and decoupling a mapping relation between an adjustment error and wave aberration distortion through a multi-scale attention mechanism and a radial basis function network to realize adaptive correction of sub-aperture phase data; and finally, splicing sub-aperture phases by using a graph neural network and fusing multi-angle full-aperture measurement data to accurately reconstruct the surface shape of the plane mirror to be measured. According to the invention, through confrontation training and dynamic error compensation of physical constraints, the detection efficiency and reliability of the large-aperture optical element are significantly improved.

The invention relates to the technical field of assembly production lines, and particularly discloses an assembly production line workpiece defect detection method and system based on machine vision. The method aims at accurately detecting the workpiece defects of the assembly production line, firstly, position information of a lens, a workpiece and a light source of a machine vision device is obtained, a basis is provided for subsequent calculation, the detection accuracy is ensured, and then the incident angle of the mirror surface is determined according to the characteristic information of the lens, influences reflected light and imaging and is a key parameter. Then obtaining imaging influence factors according to workpiece characteristics, measuring interference of workpiece surface characteristics on imaging, providing a basis for optimizing reflectivity, calculating specular reflectance through light source position information, reflecting light reflection conditions, combining the specular reflectance and the reflection conditions to obtain collaborative optimization specular reflectance, more accurately evaluating the influence of reflection on imaging, and finally, determining the influence of reflection on imaging. If the reflectivity is greater than a preset threshold value, correction is carried out, a correction angle is obtained to adjust a lens detection angle, misjudgment caused by mirror reflection is reduced, and the detection precision is improved.

The invention relates to the technical field of metal material detection, in particular to a titanium alloy bar machining quality detection method and system, and the method specifically comprises the steps: carrying out the superpixel segmentation of the section of a titanium alloy bar, constructing a mirror image edge texture saliency value of a superpixel block based on the proportion of edge points in the superpixel block and the edge gradient, and carrying out the detection of the machining quality of the titanium alloy bar. Constructing the mirror image texture intensity of the titanium alloy bar by combining the gray level distribution concentration characteristics of the titanium alloy bar, and performing image segmentation on the section of the titanium alloy bar; and in each segmented region, based on the edge line fuzzy degree difference and the pixel gray level difference of each super-pixel block and the rest of super-pixel blocks, combining a mirror image edge texture saliency value to construct a segregation evaluation value of each super-pixel block, and based on the segregation evaluation value, carrying out titanium alloy bar segregation quality defect detection. The titanium alloy bar segregation defect identification capability is enhanced, the titanium alloy bar segregation defect detection accuracy under the titanium alloy bar mirror image scene is improved, potential problems can be found earlier, missing detection is avoided, and the defective rate is reduced.

The invention provides a high-reflection plane metal part defect detection method and system based on a composite polarized light source, and a medium. The method comprises the following steps: illuminating a high-reflection plane metal part based on the composite polarized light source, adjusting a light source polarization angle and an LED wave band combination to construct a shooting environment, and collecting an image sequence; calculating a polarization intensity distribution parameter for the image sequence based on the relationship between the polarization intensity and the Stokes parameter to obtain a polarization intensity distribution image; analyzing the polarization intensity distribution image based on a polarized light reflection model, and outputting a specular reflection component and a diffuse reflection component; fitting the specular reflection component and separating the diffuse reflection component to obtain a reflection-removed image; based on an image enhancement algorithm, edge enhancement is carried out on the reflection-removed image to obtain an enhanced image, and based on a defect identification algorithm, the enhanced image is analyzed to obtain defect information; by removing the diffuse reflection component and reconstructing the image, the mirror interference is effectively stripped, and the defect identification precision is improved.

The invention discloses an adaptive optical system non-common-path aberration correction method based on a neural network. The adaptive optical system non-common-path aberration correction method comprises the following steps: constructing a lightweight neural network CP-Net; simulating and generating a perfect point spread function image; generating a deformable mirror control voltage matrix based on the image; taking the voltage matrix as the input of CP-Net for training, and ending the training when the loss function value is smaller than a preset minimum value; the trained CP-Net is connected to an actual control loop, real-time images acquired by a scientific camera are received, and perfect reference voltage is generated and directly used for controlling and changing the mirror surface type of the deformable mirror. According to the method, the deformable mirror control command can be directly generated, aberration does not need to be measured, real-time automatic adjustment can be achieved, compared with a traditional phase diversity method and a stochastic gradient descent algorithm, the operation difficulty can be greatly lowered, the correction time can be greatly shortened, and an operator does not need to manually adjust related parameters in the correction process.

A kaleidoscopic laser beam projector (KLBP) system that employs a single moving structure to project patterns of sweeping laser beams with diverse sweep directions and emission apertures. The system comprises a collimated light source, a spinning mirror deflector (“spindle / flutter mirror”) at the center, and a stationary kaleidoscopic mirror containing multiple facet mirrors arranged in a concave fashion around the spindle mirror. As the spindle mirror rotates, it directs laser beams in a radially whirling movement toward the facet mirrors, which then subdivide these beams into multiple short strokes and redirect them outward in different directions. Various embodiments include configurations with diffractive optical elements (DOEs) for beam splitting, different kaleidoscopic mirror geometries (hexagonal, octagonal, etc.), and innovative flutter mirror mechanisms that create controlled angular variations during rotation. The system enables a “4×1” configuration that replaces traditional “4×4” systems requiring eight motors and multiple moving structures. The KLBP system offers significant advantages including mechanical simplicity, reduced size and weight, improved energy efficiency, enhanced reliability, cost-effectiveness, and modular configurability. The diverse beam incidence angles enable superior illumination of complex three-dimensional objects for applications in machine vision systems, precision metrology, gap and flushness inspection, and robot-assisted assembly of complex structures.

The invention discloses an optical-mechanical-thermal integration analysis method for a space low-temperature infrared camera, which belongs to the technical field of space optical remote sensing and comprises the following steps of: when a low-temperature infrared optical system is designed, firstly, performing structural modeling on parameters of the infrared low-temperature optical system in a normal-temperature state, and establishing a corresponding structural and thermal control analysis finite element model based on a structural model; a thermal control analysis temperature field is used as structural finite element analysis input, and structural simulation analysis is performed on changes of the mirror surface precision and the mirror surface position of the optical system; processing the precision and position change data into a format which can be identified by low-temperature optical system design software, and importing the data into the optical design software; the optical performance of the low-temperature optical system at low temperature is evaluated through optical design software, the stability of interior orientation elements is evaluated, and the reliability of the low-temperature optical system is improved; the low-temperature optical system provides guidance from normal-temperature adjustment test to low-temperature use; the problem that the performance of a low-temperature infrared optical system is difficult to evaluate and predict under large thermal deformation is solved.

The invention relates to the technical field of quality detection of building materials, in particular to a quality detection method and system for mirror-surface bare concrete. The quality detection method for the mirror-surface bare concrete comprises the following steps: S100, starting three-dimensional detection; s200, carrying out spatial dimension multi-index cooperative detection; s300, time dimension dynamic attenuation analysis is carried out; s400, carrying out environmental adaptability calibration; s500, carrying out digital dimension topological modeling; and S600, carrying out comprehensive quality evaluation. The invention further discloses a system for detecting the quality of the mirror-surface bare concrete. The system comprises a three-dimensional holographic detection module; a dynamic tracking and environment calibration module; a digital modeling engine; a comprehensive evaluation platform; and a data interface module. According to the method, through four-dimensional fusion of space-time-number-environment, multi-dimensional features such as flatness, glossiness, color uniformity and surface and near-surface bubbles are synchronously captured, and quality misjudgment caused by index omission is avoided.

The invention discloses an indoor scene three-dimensional reconstruction method based on deep fusion and confidence modeling, and belongs to the technical field of computer vision. According to the method, composite data frames such as a color image, a depth map, an IMU (Inertial Measurement Unit) and a camera attitude are comprehensively utilized to carry out regional three-dimensional reconstruction on an indoor scene: firstly, the scene is divided into a smooth region (such as a wall, a ground, a ceiling, a glass plane, a mirror surface, a blackboard and other planes) and a complex curved surface region; aiming at the smooth area, adopting geometric prior guide plane fitting provided by a visual large model, and combining sensor attitude information to quickly reconstruct a regular plane model; for a complex curved surface area, a multi-frame point cloud fusion strategy is adopted to accumulate different view angle information, and a deep residual error refining network is utilized to recover curved surface details, so that a high-precision curved surface model is obtained. According to the method, the three-dimensional structure of the indoor scene can be efficiently reconstructed, the global framework of the smooth area is reserved, and the details of the surface of a complex object are depicted in detail.

The invention relates to the technical field of machine vision and optical detection, in particular to a tea color automatic evaluation method and system based on machine vision. The method comprises the following steps: constructing a stable and repeatable optical measurement environment and calculating radiation baseline parameters; performing multi-band polarization sequence imaging on the tea sample to obtain original data with spectrum and structural characteristics; separating mirror surface and diffuse reflection components on the surfaces of the tea leaves, and performing spectrum consistency correction by combining a radiation baseline; performing multiband spectrum reconstruction and normalization processing on the basis of the corrected diffuse reflection image, mapping to a CIE Lab color space, extracting pixel-level brightness, chromaticity and color distribution statistical indexes, and generating a color feature vector in combination with spatial weighting matrix optimization; a final score is calculated by constructing a quantitative evaluation and grade judgment model and integrating perception color separation, drying calibration color separation and a penalty term, and a grade result is output. According to the method, objective, accurate and automatic evaluation of the color of the tea leaves is realized.

The invention relates to the technical field of mirror surface detection equipment. The invention discloses bathroom mirror surface flatness detection equipment and a use method thereof.The bathroom mirror surface flatness detection equipment comprises a test board, a placement table used for placing a bathroom mirror is arranged on the test board, a driving assembly is arranged on one side of the placement table, and an auxiliary moving assembly is arranged on the driving assembly; the auxiliary moving assembly is provided with a plurality of detection devices used for detection, the detection devices are arranged at equal intervals, the side end of each detection device is provided with a starting assembly, the side end of each starting assembly is provided with a marking assembly, and each detection device comprises a reaction assembly and a matching assembly. According to the invention, the auxiliary moving assembly and the detection device work to automatically carry out synchronous detection on the concave and convex surfaces of the bathroom mirror surface and mark the flaw part, so that the detection efficiency and the practicability are greatly improved.

The invention relates to a sight angle rate extraction method based on depth target tracking, and relates to the field of navigation control and computer vision. Comprising the steps of deploying a variable-focus optical camera on an unmanned aerial vehicle, and setting a normal of the center of a mirror surface of the camera to be inclined at a certain angle with a horizontal plane for acquiring complete information of a target; calibrating the target in the camera based on an optical parameter calibration method, and obtaining a field angle of the target relative to the center of the camera; deploying a target tracking algorithm on the unmanned aerial vehicle, and identifying a target position based on the target tracking algorithm; obtaining a horizontal deflection angle and a pitching deflection angle of the target relative to the center of the camera by combining a target position identified by a target tracking algorithm based on the field angle; and estimating the line-of-sight angular rate through Kalman filtering based on the obtained horizontal deflection angle, the obtained pitching deflection angle and the flight parameters of the unmanned aerial vehicle. Through combination of parameter calibration of the optical camera and a target tracking algorithm based on deep learning, the horizontal deflection angle and the pitching deflection angle of the target can be accurately obtained.

The invention discloses a primary and secondary mirror combined detection system and method for a beam shrinking system, and belongs to the technical field of optical detection.The method comprises the steps that a first micro-spherical mirror and a second micro-spherical mirror are arranged, reflection light spots are captured through an interferometer, the position offset is calculated, and a first control instruction for adjusting the pose of a secondary mirror is generated; a dual-band light source is integrated in a detection light path, wavefront data and alignment monitoring data are collected, and temperature drift is corrected to obtain effective combined wavefront; an error separation model is constructed based on the primary mirror compensator parameter and the Zernike aberration coefficient, and a primary mirror surface shape error component and a secondary mirror offset error component are decoupled and separated by using a preset aberration coupling coefficient; feeding the error component back to a polishing process and a displacement table for closed-loop iterative correction until the RMS value and the PV value of the effective combined wavefront meet a preset imaging quality index; through precise positioning, error correction and decoupling separation, the precision and efficiency of primary and secondary mirror combination detection are improved, and targeted correction is realized.

The invention relates to the field of three-dimensional vision measurement, in particular to an aluminum alloy CNC product defect detection method and system based on structured light scanning. The aluminum alloy CNC product defect detection system based on structured light scanning comprises an image acquisition and analysis module, a self-adaptive illumination control module, a point cloud reconstruction module, a defect detection module and a report generation module. According to the method, through texture direction perception and matrix type light source dynamic angle modulation, and in combination with a light intensity-wavelength self-adaptive scheme of saturated pixel grading, mirror surface glare of the aluminum alloy high-reflection surface is greatly reduced; in cooperation with multi-exposure gray scale weighted fusion, a stripe image which is uniform in contrast and free of overexposure can be obtained in single scanning; in the same scanning time, compared with a fixed illumination scheme, the point cloud integrity rate can be improved, and a more reliable three-dimensional data basis is provided for subsequent defect detection.

The invention discloses a control method and system for enhancing repetition precision of a laser galvanometer, and the method comprises the steps: collecting laser power fluctuation and mirror surface temperature sequence data, obtaining a heat effect state vector through preprocessing, carrying out the noise interference updating of the heat effect state vector, inputting the heat effect state vector into a neural network model, and obtaining a preliminary thermal deformation predicted value; calculating an angle compensation parameter in combination with a preset compensation matrix to obtain a preliminary compensation signal; posterior state estimation correction is carried out, control parameters are adjusted, and enhanced compensation signals are obtained; then generating an instruction input sequence and carrying out iterative optimization to obtain an optimized angle compensation parameter; fusing position feedback to obtain a stable output track; and calculating the deviation between the angle compensation parameter and the real-time trajectory data, optimizing a heat effect state vector to obtain an optimized heat effect state vector, and recalculating the angle compensation parameter to obtain a final angle compensation parameter. According to the method, the track precision and stability of the laser galvanometer system under the complex heat effect can be remarkably improved.

A micron-sized speckle preparation method for quasi-in-situ OIM-DIC mesoscopic strain field analysis comprises the following steps: (1) polishing the surface of a sample to be detected to obtain a bright and scratch-free mirror surface; (2) preparing Si powder turbid liquid; (3) dipping speckles of a sample to be detected in the Si powder turbid liquid to obtain micron-sized speckles; and (4) observing and shooting speckle morphology, and if Si particles are uniformly distributed and dispersed, applying the Si particles to quasi-in-situ OIM-DIC mesoscopic strain field analysis. The method is simple, convenient and rapid, low in operation and construction cost, high in practicability, good in particle dispersity, high in precision, more suitable for calculation of a quasi-in-situ OIM-DIC mesoscopic strain field, controllable in preparation process, low in cost and free of damage to the surface of a sample, the definition and stability of speckle characteristics are remarkably improved, DIC mesoscopic micron-scale operation under a quasi-in-situ OIM mechanical test can be effectively achieved, and the method is suitable for large-scale industrial production. And the grain and mesoscopic strain field information is successfully coupled.

The invention discloses a self-co-phase detection method for a plane diffraction spliced telescope with built-in vortex light, and belongs to the technical field of optical imaging telescopes. According to the method, an internal light source of the system is used as beacon light, so that a light beam passes through an optical system in a reverse imaging direction and is emitted in a parallel light form, and then enters the optical system again after being reflected by the front surface of a primary mirror to form a detection light beam carrying co-phase error information; and then, the detection light beam and a vortex light beam in the system generate interference on an image plane, and by acquiring and processing interference fringes in real time and extracting attitude information of the primary mirror under the combined action of forward and reverse errors, decoupling and correction of the piston and tilt errors of the spliced mirror surface can be realized, so that the error correction precision and the overall performance of the system are remarkably improved. In addition, two detectors are arranged in the system, interference fringe detection and system imaging can be achieved at the same time, a beacon light source is taken from the interior of the system, and the defect that a traditional method highly depends on external beacon light is overcome.

The invention discloses a system and a method for controlling a mirror surface light following angle of a photo-thermal power generation system based on temperature control, and aims to solve the problems that an existing photo-thermal power generation system often depends on a fixed mirror surface angle adjusting strategy and cannot respond to complex illumination and temperature changes in time, so that the heat collection efficiency is low, and the system is inconvenient to use. The system can accurately adjust the angle of the heat collector in real time, maximize the illumination receiving efficiency and optimize the heat collection effect through the cooperation of a plurality of intelligent modules such as the data acquisition module, the illumination prediction module, the temperature prediction module and the mirror surface adjustment module, in addition, the system ensures that the heat collection efficiency is not influenced by angle adjustment through the heat collection efficiency detection and feedback module, and the system is suitable for popularization and application. According to the combined adjusting method based on temperature self-sensing, the self-adaptive capacity, the heat collecting efficiency and the system stability of the photo-thermal power generation system are improved, and the hysteresis quality and instability in the traditional technology are overcome.

The invention provides a structure and method for bonding plane mirrors and calibrating angles at the same time, and relates to the technical field of aviation, the structure comprises a frame, an infrared turn-back assembly, a flexible lens pressing ring, a mirror frame, a mirror and a pin gauge, the flexible lens pressing ring and the mirror frame are used for axially positioning the mirror, and the pin gauge is arranged in the radial direction of the mirror. When the glue is injected, the area and the thickness of the glue are accurately controlled, the tension generated on the mirror surface of the reflector after the glue is cured is uniformly distributed, the surface precision of the reflector is ensured, the arrangement of the cover plate can effectively prevent light leakage, stray light is prevented from influencing the imaging quality, and the technical problem that the surface precision is reduced when an existing reflector is installed is solved.

The multi-view imaging detection light source comprises a shell, a plurality of first reflectors, a plurality of second reflectors and a first light source assembly, the shell is provided with a light path channel, an input end and an output end, and the input end and the output end are communicated with the two ends of the light path channel; the first reflectors are arranged at intervals along the inner peripheral wall of the light path channel, the first reflectors are arranged close to the input end, and the mirror surfaces of the first reflectors are obliquely arranged in the extending direction of the light path channel towards the inner peripheral wall deviating from the light path channel; the second reflectors are arranged at intervals along the inner peripheral wall of the light path channel, the second reflectors are arranged close to the output end, and the mirror surfaces of the second reflectors are obliquely arranged close to the inner peripheral wall of the light path channel in the extending direction of the light path channel; a detected object used for detection is located at the output end, and an image of the detected object can be reflected into the input end through the second reflectors and the first reflectors in sequence; in this way, the detection camera located at the input end can shoot images of the detected object at multiple visual angles in one-time image taking, and the image taking efficiency is improved.

The invention discloses an automatic cleaning system and method for a reflector of a photo-thermal power station. The automatic cleaning system and method are suitable for cleaning tower type photo-thermal electric field heliostats and linear Fresnel photo-thermal reflecting mirror surfaces. According to the scheme, the system is mainly composed of a water (gas) distribution vehicle, a reflective mirror area management point, a mirror surface cleaning module and a control system. The mode of combining the Internet of Things technology and remote control is adopted, work of water supply, air supply (blow-drying of the mirror surface) and facilities of scraping plates and spraying is achieved, and the purpose of cleaning the mirror surface is achieved. Wherein the center of the tower-type photo-thermal heliostat surface is provided with a rotating shaft and a spraying scraper blade; the linear Fresnel photo-thermal reflecting mirror surface is provided with a reciprocating type driving mechanism and additionally provided with a water spraying scraper blade facility. According to the system, cleaning equipment is integrated on the reflective mirror, water (gas) is supplied by the water (gas) supply vehicle, full-automatic and efficient cleaning is achieved, and the cleaning efficiency and quality of the reflective mirror are improved.

The invention provides a large-mirror-surface MEMS two-dimensional scanning micromirror which comprises a fast scanning shaft, a slow scanning shaft, a balance frame with multiple turns of coils, a micromirror surface and reinforcing ribs on the back face of the micromirror, the fast scanning shaft extends in the first direction, one end of the fast scanning shaft is connected with the micromirror surface, the slow scanning shaft extends in the second direction, and the other end of the fast scanning shaft is connected with the micromirror surface. The other end is connected with a balance frame with a plurality of turns of coils; the slow scanning shaft extends in a second direction perpendicular to the first direction, one end of the slow scanning shaft is connected with the balance frame with the multi-turn coil, and the other end of the slow scanning shaft is used for being connected with an external substrate; the balance frame with a plurality of turns of coils is of a hollow structure and is arranged around the mirror surface of the micro-mirror; the reinforcing ribs on the back face of the micro-mirror are of an oval hollow structure and are fixedly arranged on the lower surface of the mirror face of the micro-mirror, and the reinforcing ribs are connected in the first direction and the second direction to form a supporting structure. According to the structure, the rigidity of the mirror surface is greatly improved, and the capability of resisting external force interference is remarkably enhanced.

The invention belongs to the field of solar photovoltaics, and provides a CCLFR concentrating solar photovoltaic system and power generation equipment. The CCLFR concentrating solar photovoltaic system comprises a CCLFR concentrator, a supporting structure and PV assemblies which are arranged from bottom to top, wherein the PV assemblies are symmetrical left and right; the CCLFR condenser is of an axisymmetric structure and is a condensing mirror field formed by alternately arranging a plurality of plane mirrors; each plane mirror is used for reflecting incident light to the surface of the corresponding PV assembly; wherein the layout of each plane mirror is related to the width of the battery, the placement height of the photovoltaic battery, the inclination angle of the photovoltaic battery, the inclination angle of the mirror surface, the X-axis coordinate value of the mirror surface end point, the included angle between the reflection light of the mirror surface end point and the X axis, the width of the mirror surface, the width of the mirror field and the transverse distance between two adjacent mirror surfaces.

The invention relates to a method for eliminating mirror reflection interference in VR positioning, hardware and application, and the method comprises the steps: detecting and matching a highlight area in a binocular camera image, calculating a corresponding 3D position through triangulation, carrying out the consistency analysis of the parallax and depth of the highlight area, recognizing inconsistent points as mirror reflection points, and removing the mirror reflection points. The mirror surface reflection interference is eliminated; hardware is realized by the method, and the method is applied to a VR environment with an illumination intensity gradient greater than a preset value. The method detects and matches the highlight area in the binocular camera image, calculates the 3D position, analyzes the consistency of the parallax and depth of the highlight area, effectively recognizes and rejects the specular reflection points, reduces the SLAM positioning instability, improves the VR positioning precision, improves the mapping quality, accelerates the convergence speed of algorithm calculation while eliminating the external point interference, and accelerates the calculation efficiency. The calculation consumption of the system is reduced; the method is implemented only on the basis of original configuration, hardware is simple, and implementation cost is low.

The invention relates to the technical field of high-precision optical detection, in particular to a fixing assembly for installing a lens measuring instrument and the measuring instrument, and the fixing assembly comprises a rooting block which is used for being connected to the back surface of a lens in a gluing manner; the base is connected with the rooting block through a fastening assembly, the base is provided with at least three first contacts opposite to the back face of the lens and at least two second contacts opposite to the side face of the lens, and the fastening assembly is configured to be capable of generating first elastic force on the base in the first direction; and a second elastic force in a second direction. The rooting block is adhered to the back surface of the lens, so that a mechanical attachment point is prevented from being found on a vulnerable optical surface; meanwhile, the base is elastically connected with the rooting block through the fastening assembly instead of being rigidly and directly fixed, and the base elastically abuts against the back face and the side face of the lens through the first contact and the second contact respectively, so that self-adaptive accurate positioning of the base with the mirror face as the benchmark is achieved.

The invention relates to the technical field of hot melting salt storage, and discloses a photo-thermal system mirror surface micro-angle linkage adjustment method based on thermal perception, which breaks through the limitation of traditional single data monitoring and experience judgment through multi-source data fusion and triple physical constraint decoupling, and remarkably improves the fault diagnosis accuracy. And secondly, the problem of poor model timeliness caused by traditional static partitioning and long-period updating is solved through dynamic partitioning deployment and real-time contribution identification, so that the contribution degree matrix can be updated in real time along with the mirror surface state. Accurate tracking of parameters of different time scales and safe rehearsal of a control strategy are achieved through parameter hierarchical updating and digital twinborn verification, and parameter aliasing and optimization failure caused by a traditional single updating strategy are avoided.

The invention discloses an optical multi-pass pool modeling and optimizing method, and belongs to the technical field of optical detection. In order to solve the problems that an existing multi-pass cell is too long in length, large in size and inconvenient to carry or transfer, and meanwhile, the mirror surface utilization rate of the multi-pass cell is low, a light path in a multi-pass cell system is accurately modeled by adopting a light ray tracing principle, and the system does not depend on traditional paraxial approximation. The problems that in the prior optical design, due to the fact that equipment is large in size, carrying is inconvenient, and due to the fact that aberration is neglected due to paraxial approximation, large deviation is generated between a calculated value and an actual value are solved. In addition, the light spot distribution is automatically optimized through the genetic algorithm, and the design and debugging time of the optical system is shortened. According to the innovative design strategy, the utilization rate of the reflector is improved, space waste is avoided, the sensitivity and accuracy of a reflection system can be remarkably improved, and further development of the optical multi-pass cell technology is promoted.

The invention relates to the technical field of space camera reflector analysis, and particularly provides a curvature-adjustable sub-mirror curvature radius variation and surface shape actuation precision analysis method, which comprises the following steps: creating a finite element analysis model, creating two variables of dr and RMS, and generating a finite element model calculation file; extracting serial numbers i of n nodes and corresponding node space coordinates (xi, yi, zi); constructing a first relation function between the dr and the dz; constructing a mirror curvature radius correction function; a second relation function between the RMS and # imgabs0 # is constructed; integrating the three functions into a curvature-adjustable sub-mirror finite element model calculation file; submitting to a finite element solver for calculation to obtain dr and RMS; according to the method, the sub-mirror surface node coordinate and displacement data format conversion and read-write time is effectively saved, the iterative optimization efficiency of the reflector design is improved, and the method has remarkable engineering significance for the optimization design of the block splicing type reflector.