38 results about "Optical engineering" patented technology

The invention relates to the technical field of optical engineering, and discloses a multispectral fusion optical coherence tomography imaging method, which adopts a multispectral light source to cooperatively collect OCT signals, fully utilizes the absorption / scattering characteristic difference of different spectrums on different components of a sample, obtains richer sample structure and component information, and improves the imaging accuracy. A data basis is provided for follow-up accurate identification of sample components, synchronism and wavelength accuracy of multispectral signals are ensured through synchronous driving control and accurate spectrum calibration, and information distortion caused by spectrum deviation is avoided; a registration algorithm based on SIFT feature point matching is adopted, high-precision spatial alignment of multispectral OCT images is achieved, the problem of dislocation between different spectral images is solved, the whole imaging process gives consideration to imaging efficiency and imaging quality, the imaging time is shortened through a synchronous collection mode, the method is suitable for dynamic sample imaging, parameter adjustability of all modules is high, and the method is easy to implement. Flexible adjustment can be performed according to different sample characteristics, and the application range of the method is expanded.

The application discloses a mirror shape preserving optical bench structure cross-scale optimization design method and device, and relates to the technical field of optical engineering. The method comprises the following steps: in the offline stage, parameterized point array modeling and equivalent performance prediction are carried out, and a prediction model is established. In the online stage, the optical bench structure is selected, the design domain is determined and the finite element is discretized, then the entity and point array areas are divided, the load and boundary conditions are applied, and the design variables are defined. The prediction model is called to obtain the point array mechanical performance to calculate the structure strain energy, the mirror node displacement is extracted, and the mirror surface shape information is obtained by fitting. An optimization model is established with the minimum structure strain energy as the objective function and the mirror surface shape information as the constraint, and optimization iteration is carried out with the aid of sensitivity information. If the optimization model does not converge, the design variables are adjusted, the constraints are redefined, and the iteration is continued. If the optimization model converges, the optical bench cross-scale shape preserving optimization result is obtained. The method solves the problem that the traditional design method cannot meet the demand of a new generation of optical mechanical system in terms of light weight, stiffness and mirror shape preservation.

This application provides a quantum optical microcavity device modified with fluorinated organophosphonic acid and its fabrication method, relating to the fields of organic chemistry and optical engineering. The quantum optical microcavity device includes a microcavity body and a fluorinated organophosphonic acid monolayer attached to the surface of the microcavity body. A hydrophobic fluorinated organophosphonic acid monolayer is formed on the surface of the microcavity body through a chemical reaction between a mixed solution containing fluorinated organophosphonic acid molecules and the surface of the microcavity body. Since the active head groups of the fluorinated organophosphonic acid can form chemical bonds with –OH and Si–O–Si on the surface of silica through reaction, the adsorption of water molecules from the air onto the –OH and Si–O–Si on the surface of the silica microcavity body can be effectively suppressed, thus improving the Q-value stability of the whispering-gallery mode quantum optical microcavity device.

The invention discloses an optical bench structure cross-scale optimization design method and device considering mirror surface shape preservation, and relates to the technical field of optical engineering. Comprising the following steps: performing parameterized dot matrix modeling and equivalent performance prediction in an offline stage, and establishing a prediction model; in the online stage, an optical bench structure is selected, a design domain is determined, finite element discretization is carried out, entity and dot matrix areas are divided, loads and boundary conditions are applied, and design variables are defined. And calling the prediction model to obtain dot matrix mechanical properties so as to calculate structural strain energy, extracting mirror surface node displacement, and fitting to obtain mirror surface shape information. And establishing an optimization model by taking the minimum structural strain energy as an objective function and the mirror surface shape information as constraints, and performing optimization iteration by means of sensitivity information. And if the optimization model is not converged, adjusting the design variable, redefining the constraint to continue iteration, and if the optimization model is converged, obtaining a cross-scale conformal optimization result of the optical bench. The problem that a traditional design method is difficult to meet the requirements of a new-generation optical-mechanical system in the aspects of light weight, rigidity, mirror surface shape preservation and the like is solved.

The present application relates to an ultrasonic intelligent nondestructive testing method based on pose adjustment of a probabilistic convolutional neural network, and belongs to the technical fields of mechanical engineering, optical engineering, nondestructive testing and automated detection. The method comprises the following steps: initializing ultrasonic testing parameters; generating a standard scanning path for a mechanical arm; pre-processing ultrasonic waveform signals; ultrasonic imaging and defect identification using a probabilistic convolutional neural network; inputting the ultrasonic imaging results into the probabilistic convolutional neural network for defect identification processing, to obtain a classification result of the presence or absence of a defect, a corresponding predicted uncertainty of the defect and defect size information; and determining the classification result of the presence or absence of a defect and the corresponding predicted uncertainty output by the probabilistic convolutional neural network. By introducing a deep learning model to predict the uncertainty as an online feedback quantity, a scanning control mechanism based on uncertainty determination is established, so that the detection process can dynamically adjust the scanning path and the probe pose according to the reliability of the identification result.

A highlight element simulation optimization method and device, an electronic device and a storage medium relate to the technical field of optical engineering and digital twinning, and the method comprises the following steps: obtaining a performance index of a highlight element, and performing simulation analysis by using optical analysis software to obtain parameter information, and a sensor network is arranged around the element to collect thermal field data in real time. Based on the data, a digital twinborn model of the highlight element is constructed, dynamic simulation of the working process of the highlight element is realized, and surface precision data is obtained. And in combination with a preset surface precision threshold, a dynamic compensation strategy and optimization parameters are formulated, and real-time dynamic adjustment is carried out on the strong light element. The attitude and position of the element are accurately controlled through the six-degree-of-freedom parallel mechanism, and the surface precision is ensured to meet the design requirement. The problems that in the prior art, surface type changes in the working process are difficult to reflect in real time, full life cycle evaluation and closed loop feedback mechanisms are lacked, dynamic optimization cannot be achieved, the system performance is unstable, and the optimization effect is limited are solved.

The invention relates to the technical field of optical engineering, and discloses a handheld laser directional energy system which comprises a Shack-Hartmann wavefront detection system, a visual observation system, an atmospheric turbulence correction system, a laser emission system, a laser ranging system and an anti-shake system. By integrating wavefront detection and adaptive correction, coaxial design, target background difference enhancement through light splitting, MEMS reflector dynamic adjustment, jitter compensation and other technologies, the problems that the imaging quality is interfered by atmospheric turbulence, correction is inaccurate due to system space separation, the contrast ratio of a dark and weak target is poor, aiming is difficult, and jitter miss is caused are solved; the effects of high-resolution imaging, energy concentration, easy target discovery, automatic locking and stable aiming are achieved.

The invention discloses a metasurface integrated structured light emission system and a light beam regulation and control method, and relates to the technical field of optical engineering.The metasurface integrated structured light emission system comprises a protection sleeve box, a laser chip body is installed on the inner wall of the protection sleeve box, and a miniature isolator is installed at the output end of the laser chip body; one end of the miniature isolator is provided with a collimating lens group, two sides of the miniature isolator and the collimating lens group are respectively provided with a fixing assembly, and one end of the collimating lens group is provided with an optical lens cone; according to the metasurface integrated structured light emission system and the light beam regulation and control method, through the arrangement of the protection sleeve box, the laser chip main body, the micro isolator, the collimating lens group, the fixing assembly and the optical lens cone, a traditional complex discrete optical system is integrated into an integrally packaged and plug-and-play independent module; the problems that in the prior art, the size is large, installation and adjustment are difficult, and environmental adaptability is poor are effectively solved, and a reliable hardware platform is provided for the structured light technology from a laboratory to engineering application.

The invention discloses a multi-virtual image generation system based on dual-channel optical path multiplexing and a ciliary muscle training device, and relates to the technical field of optical engineering and ophthalmology medical instruments. The device comprises a near-far field double-image generation unit, a light beam combination element, a focal power modulation element and a precise control module, double virtual images with preset diopter difference are generated by optimizing optical parameter design, electronic switching logic and a dynamic positioning mechanism, crystalline lenses are forced to generate physical deformation, and physiologically effective ciliary muscle training is achieved. The light path folding and polarization / amplitude segmentation technology is adopted, the light rays of the two independent image sources are projected to the same visual axis of the human eyes, far and near alternate adjustment stimulation is formed, the training efficiency is improved, and the service life of the device is prolonged.

The invention provides a high-color-gamut peep-proof film surface stress distribution and optical performance cooperative control method, which relates to the technical field of optical engineering, and comprises the following steps: acquiring peep-proof film multilayer structure data, establishing a feature set, forming a cooperative representation vector by using deep neural network joint coding, and generating a cooperative control strategy based on a bidirectional influence weight matrix. And making a process parameter adjustment scheme. According to the invention, collaborative optimization of stress regulation and optical performance is realized, the color rendition degree and visual angle control precision of the peep-proof film are improved, and the service life of the product is prolonged.

The present application relates to the technical field of optical engineering and digital twin cross, and specifically provides a practical optical system and simulation model parameter consistency control method, comprising: establishing a simulation model of a practical optical system, defining parameters of each element in the simulation model as variables, measuring parameter values of each element of the practical optical system and assigning values to the simulation model, obtaining simulation performance values of the simulation model and performance values of the practical optical system under the same conditions, and comparing to generate a performance consistency error report, determining potential error elements according to the performance consistency error report, and correcting errors through a virtual compensator and a phase plate to obtain a digital twin of the practical optical system. The present application systematically realizes correction of the simulation model and solves the problem of disconnection between the practical optical system and the simulation model.

The invention discloses an image fusion method based on a mixed multi-order diffraction lens, a medium and a program product, and relates to the technical field of image processing and optical engineering. First diffraction imaging data output by a mixed multi-order diffraction lens are obtained and input into a restoration network to obtain restored second diffraction imaging data, so that the defects of diffraction imaging are overcome. Furthermore, the image fusion network fully considers the scene of inherent degradation characteristics of the diffraction image during model training, and constructs a training sample more conforming to diffraction imaging characteristics, so that a stable and high-quality fusion result can be obtained by inputting the second diffraction imaging data into the fusion network. According to the two-stage fusion strategy provided by the invention, while the advantage of HMODL compact imaging is reserved, the detail representation and information integrity of dual-band imaging can be remarkably improved, and meanwhile, the robustness and application value of the system under the actual diffraction imaging condition are enhanced.

The invention relates to the technical field of optical engineering and digital twinborn crossing, and particularly provides a parameter consistency control method for an actual optical system and a simulation model, which comprises the following steps of: establishing the simulation model of the actual optical system, and defining parameters of each element in the simulation model as variables, parameter values of all elements of the actual optical system are measured, assignment is conducted on the simulation model, simulation performance values of the simulation model and performance values of the actual optical system are obtained under the same condition, a performance consistency error report is generated through comparison, elements with potential errors are determined according to the performance consistency error report, and the simulation performance values of the simulation model and the performance values of the actual optical system are obtained. Error correction is carried out through the virtual compensator and the phase plate, and digital twinning of an actual optical system is obtained. According to the invention, the correction of the simulation model is systematically realized, and the problem that actual optics and the simulation model are disjointed is solved.

The application provides a kind of extracellular vesicle quantitative detection method based on self-interference spectrum reconstruction, it is related to the intersection field of biomedical detection and optical engineering.The method comprises: adding clinical sample into digital microfluidic chip, and separating sample droplet from droplet with functional modification magnetic bead by electrode;After mixing two droplets, add vesicle binding solution and mix, then incubate;Through magnetic control fixed magnetic bead, remove solution, then add deionized water to clean magnetic bead;After removing magnetic bead cleaning solution, add vesicle eluent and incubate with magnetic bead;Separate out the droplet containing extracellular vesicle;Transfer the droplet containing extracellular vesicle to the upper of gold-coated glass, remove droplet after incubation;Use deionized water to clean hybridized gold-coated glass;Use self-interference spectrum imaging system to detect vesicle quantity and its particle size distribution.The application can realize extracellular vesicle quantitative counting, particle size measurement and surface protein marker detection simultaneously, and improve single vesicle quantitative imaging precision and detection efficiency.

The invention discloses an optical focal length automatic adjustment control system based on an intelligent sensor, and relates to the technical field of optical engineering, and the system comprises the following modules: a multi-modal feature fusion module which is used for generating a multi-modal feature map; the predictive tracking modeling module is used for introducing a scanning and state updating mechanism of a Mamba network to improve a TransTrack model and outputting a multi-target tracking result; the dynamic relation graph construction module is used for constructing a dynamic time-space relation graph; the graph network priority evaluation module is used for evaluating a target priority; the target trajectory prediction module is used for predicting a target trajectory; the camera control instruction generation module is used for generating a focusing and aperture control instruction; and the lens driving execution module is used for executing focusing and depth-of-field adjustment actions. According to the invention, the limitations of response lag, blind decision and neglect of the association relationship between the targets in the traditional optical focal length adjustment method are overcome, and an efficient and accurate solution is provided.

The present application relates to the field of optical engineering, free space optical communication and unmanned aerial vehicle load technology, and particularly relates to an airborne reverse modulation optical communication system based on a driving micromirror and an adjustable three-mirror, namely, a reverse modulation free space optical communication system with an adjustable hinged three-angle reflector as a core reverse retroreflector component of an unmanned aerial vehicle end and working with a modulation unit. The communication system comprises a ground station and an unmanned aerial vehicle platform, the ground station is used for transmitting an inquiry signal light and receiving a back transmission light signal, and the unmanned aerial vehicle platform is used for receiving the inquiry signal light transmitted by the ground station and realizing reverse retroreflection and controlled adjustment through the three-angle reflector component arranged thereon.

This invention relates to the field of optical engineering technology, specifically disclosing a polarized optical lens glare elimination system for vehicle-mounted security. The system includes: a reference polarization module, which constructs a controllable environment simulation test platform to collect reflected light data under different incident angles and water film thicknesses, calculates the degree of polarization and phase difference using the Stokes vector method, and constructs a quasi-polarized light characteristic library; a composite filtering module, which collects real-time reflected light data and compares it with the quasi-polarized light characteristic library to determine elliptically polarized light, and corrects it to linearly polarized light through phase compensation; a direction calibration module, which calculates the optical path deviation angle through a real-time direction calibration module and dynamically adjusts the filtering direction; a glare recognition module, which performs light intensity analysis on the corrected light to determine glare residue, identifies micro-glare spot areas through polarization degree calculation; and a grayscale correction module, which extracts the average grayscale value of the normal area and corrects the grayscale of the spot pixels, thereby achieving dynamic elimination of glare from reflected light on wet road surfaces.

This invention discloses a system and method for the resource recovery treatment of mixed solid waste using femtosecond laser quantum tunneling and Coulomb explosion, belonging to the interdisciplinary field of optical engineering and environmental engineering. The system incorporates a pretreatment module to achieve coarse treatment, impurity separation, and particle size control of the mixed solid waste. Combined with a femtosecond laser array emission module, a material transport and carrying module, and an energy recovery module, it constructs an integrated treatment system. Using the pretreated mixed solid waste as the treatment object, and an array-type femtosecond laser as a low-energy external trigger source, the instantaneous strong electric field of the laser reduces the outer electron barrier of the material, inducing a quantum tunneling effect, which in turn triggers a Coulomb explosion. This triggers an avalanche-like orderly release of energy within the solid waste, achieving simultaneous treatment and resource recovery of multiple components. This invention simplifies the pretreatment process, reduces energy consumption, and improves treatment efficiency. It can effectively achieve the reduction, resource recovery, and environmental compliance of mixed solid waste, is applicable to large-scale treatment in multiple scenarios, and possesses significant environmental and economic value.

The utility model relates to the technical field of optical engineering, and discloses an optical platform supporting device in a vacuum container, which comprises a table body, hollow cylinders are fixedly connected to the top of the table body close to four corners, supporting columns are fixedly connected to the inner bottom walls of the hollow cylinders, a plurality of sliding chutes are formed in the periphery of the inner wall of each supporting column at equal intervals, and the sliding chutes are arranged in the table body. A plurality of sawtooth blocks are fixedly connected to the right side of the inner wall of the sliding groove at equal intervals, a long outer tooth groove plate is slidably connected to the interior of the sliding groove, a fixing spring is fixedly connected to the left side of the inner wall of the sliding groove, and a spring frame is fixedly connected to the top of the long outer tooth groove plate. According to the vibration isolation pad, the springs are extruded and fixed through the long outer tooth groove plates, secondary buffering is achieved, and therefore the problems that due to the fact that chloroprene rubber is exposed in the external environment for a long time, the chloroprene rubber is gradually aged, and the aged chloroprene rubber has the phenomena of surface cracking, hardening and elasticity losing, and the buffering performance of the vibration isolation pad is affected are solved.

The invention belongs to the crossing field of functional materials and optical engineering, and particularly relates to a high-temperature multispectral compatible camouflage film and a design and preparation method thereof. Through the combination of a physical pre-aging mechanism and a machine learning reverse design model, three core advantages are realized: 1, the design is accurate and efficient, and the machine learning model realizes the rapid collaborative reverse design of visible light and infrared performance; 2, the high-temperature stability is excellent, and the pre-aging treatment fundamentally ensures the lasting and stable spectral performance of the film at high temperature; and thirdly, the process reproducibility is strong, the preparation result is highly consistent with the design expectation based on a mature PVD process and a quantitative heat treatment system, and the method is suitable for industrial production. The invention provides a set of full-chain solution scheme from physical mechanism understanding, calculation design to process implementation, and provides a novel and reliable technical approach for multispectral compatible camouflage of high-Mach number aircrafts, engine hot end components and the like in extreme high-temperature environments.

The application relates to the technical field of space optical engineering, and discloses a temperature adjustment method and device, computer equipment and a readable storage medium, wherein the method comprises the following steps: acquiring a temperature control temperature and temperature adjustment information of an optical mounting bottom plate; taking the temperature control temperature and the temperature adjustment information as constraints, determining a target temperature interval of each region; for one of the regions, if an actual temperature of the region is not located in the corresponding target temperature interval, adjusting the actual temperature of the region to the corresponding target temperature interval; in the temperature adjustment process, detecting real-time deformation of the optical mounting bottom plate, and adjusting temperature adjustment logic of at least part of the regions based on the real-time deformation; after the temperature of each region is adjusted to the corresponding target temperature interval, if a center temperature of the optical mounting bottom plate does not reach the temperature control temperature, the temperature of at least part of the regions is continuously adjusted, so that the center temperature reaches the temperature control temperature. The application can reduce the deformation of the optical mounting bottom plate.

The invention discloses a preparation method of a flexible wrinkled surface. Comprising the following steps: mixing a PDMS matrix and a curing agent according to a specific mass ratio to form a prepolymer, and heating and curing after defoaming to obtain a flexible PDMS substrate; applying uniaxial or biaxial drawing force to the flexible PDMS substrate to deform the flexible PDMS substrate; keeping a stretching state, removing bubbles from newly prepared prepolymers with the same proportion, coating the prepolymers on a substrate, and heating and curing to form a double-layer flexible structure; the drawing force is released, and the PDMS film is compressed due to deformation recovery of the substrate to generate a wrinkle structure. Controllable adjustment of the size of the wrinkle structure can be achieved by adjusting and controlling the stretching direction and amplitude, the preparation material is single, the process is simple, cost is low, the period is short, controllability is high, the method is suitable for large-scale production, the problems that in the prior art, a flexible wrinkle surface preparation process is complex, cost is high, and large-scale production is difficult are solved, and the method is suitable for large-scale production. The method has a wide application prospect in the fields of flexible electronics, biomedical engineering, optical engineering and the like.

The invention discloses a dynamic adjustable curved surface detector imaging system, and relates to the technical field of optical engineering and adaptive optics. Based on an adaptive compression sampling mechanism of neural pulse gradient distribution, the sampling density of a high-dynamic region is improved by one order of magnitude, a mechanical deformation process is directly replaced, and the imaging efficiency is improved. The limitation of hardware delay on the frame rate is eliminated; the millisecond-level transmission process of the neural signal is completely captured, and signal loss caused by insufficient frame rate in a traditional scheme is avoided; a joint optimization framework of space-time tensor modeling and curved surface geometric mapping is adopted, and distortion correction and sequence reconstruction are synchronously completed in single solution; due to the introduction of an alternating direction multiplier method, strict synchronization of geometric deformation compensation and texture recovery is ensured, and motion blur or edge distortion caused by error accumulation in step-by-step processing is avoided; and a dynamic weight mechanism of tensor multimode nuclear norm constraint automatically adjusts the low-rank constraint intensity according to the space-time structure complexity.

The invention relates to the technical field of optical machine engineering, in particular to a swing sweeping type driving mechanism used for driving a reflecting mirror to do reciprocating swing sweeping motion. Specifically, the swing sweeping type driving mechanism comprises a fixed base, a driving assembly, a mirror base assembly and a transmission assembly, the driving assembly comprises a driving motor and a motor rotating wheel which are arranged on the fixed base, and the motor rotating wheel is connected to an output shaft of the driving motor; the mirror base assembly comprises a swing mirror base used for installing a reflector and a connecting rotating shaft rotatably arranged on the fixed base, the transmission assembly comprises a swing rod and a connecting rod, one end of the swing rod is connected with the connecting rotating shaft, the other end of the swing rod is hinged to one end of the connecting rod, and the other end of the connecting rod is hinged to a motor rotating wheel; the driving motor is configured to rotate in one direction so as to drive the swing mirror base to perform reciprocating swing sweeping motion through the motor rotating wheel, the connecting rod and the swing rod, the backlash problem caused by a gear meshing clearance during reversing of the driving motor can be effectively avoided, and then the servo control precision in the system transmission process is improved.

The invention discloses a GRIN liquid crystal focusable lens driven by a concentric annular transparent electrode and a manufacturing method of the GRIN liquid crystal focusable lens, and the GRIN liquid crystal focusable lens is applied to the field of optical engineering. A high-precision concentric annular transparent electrode (ITO and the like) is manufactured on a substrate, a continuously variable voltage profile in a caliber is discretized into a plurality of independent controllable ring areas, and corresponding voltage is applied; the problems of wavefront distortion and inaccurate diopter caused by difficulty in forming stable and designable radial electric field distribution in the aperture in a traditional electrode scheme are effectively solved; besides, after lens manufacturing is completed, individualized calibration is carried out on each lens through wavefront / interference measurement, actual OPD (V) mapping is established, calibration parameters are written into a tracing data packet, the problem that diopters are inconsistent under the same driving voltage due to factors such as process deviation, material batch difference and temperature drift is effectively solved, and individualized accurate compensation is achieved.

The application relates to the technical field of optical engineering design, in particular to a design method of a super-structured grating, the super-structured grating comprising a grating layer, the grating layer comprising a periodic cell, the design method comprising the following steps: constructing a neural network of deep reinforcement learning, taking the current state of the cell unit as the input of the input layer of the neural network, and taking the output of the output layer of the neural network as the action of filling the cell unit; obtaining a new state of the cell unit after the action is performed; calculating the diffraction efficiency of each diffraction order of the super-structured grating in the new state; obtaining the reward return of the action according to the diffraction efficiency; updating the input of the neural network based on the reward return and propagating reversely until the terminal state of the current deep reinforcement learning is reached; and repeatedly performing the above deep reinforcement learning steps until the requirement of the optimized design is met, so that the rapid optimized design of the super-structured grating comprising a complex cell structure can be realized.

This invention provides a semiconductor laser coupling device, belonging to the field of optical engineering technology. It includes a laser body for emitting laser light and serving as the core optical component of the entire coupling device; a splicing mechanism located outside the laser body for aligning and stably connecting multiple lasers; a mounting assembly including a mounting plate and a fixing frame, the mounting plate being disposed on the splicing mechanism and the fixing frame being positioned above the mounting plate and cooperating with the laser body for positioning and stable installation of the lasers; and a control assembly including a controller and an output port. This invention, by incorporating a splicing mechanism, a flexible fixing assembly, and an intelligent control module, improves the alignment accuracy, connection stability, and automated control capabilities between lasers, effectively solving the technical problems of inconvenient adjustment, structural instability, and poor applicability inherent in traditional semiconductor laser coupling devices.