116 results about "Physical optics" patented technology

The invention relates to the technical field of display screens, aims to solve the problem that dynamic influence of environmental parameters on optical performance is not fully considered in calibration of a standard screen in the prior art, and provides a method and a system for improving the stability of the standard screen. The method comprises the following steps: controlling a standard screen to display a corresponding test pattern according to a preset measurement point layout; controlling an optical measurement instrument to measure a standard screen according to a preset sampling frequency to obtain optical measurement parameters, and obtaining physical parameters of the standard screen at the same time; compensating the optical measurement parameters according to a pre-constructed environmental parameter influence model and environmental parameters during optical measurement; constructing a physical optical parameter correlation model according to the compensated optical measurement parameters and physical parameters; and inputting real-time physical parameters of a standard screen into the physical optical parameter correlation model to obtain optical deviation prediction parameters, and dynamically correcting the standard screen. According to the invention, the stability of the standard screen in practical application can be obviously improved.

The invention provides an optical proximity correction method and system based on mask error model optimization, and a terminal, and the method comprises the steps: building a data sample set containing a plurality of process conditions through obtaining a large amount of mask manufacturing data under a specific photoetching process; and based on the sample set, constructing a physical optical sub-model and a machine learning sub-model to form a mask error model for outputting a final mask key size value. And then, according to a plurality of preset alternative weight coefficient combinations, reconstructing an objective function which introduces a mask error term, calculating corresponding objective function values, and correcting the photoetching pattern by using an OPC algorithm corresponding to each objective function value to obtain performance index data so as to determine an optimal weight coefficient combination. And finally, optimizing the OPC algorithm by using the target function of the optimal combination, thereby realizing the accurate correction of the photoetching pattern, and improving the precision and yield of semiconductor manufacturing. According to the method, the mask error model comprehensively considering physical optics and machine learning is established, and the OPC process is introduced, so that the influence of the mask error can be predicted and compensated more accurately, the critical dimension deviation and the like are reduced, and the device performance and the yield are improved. The method can adapt to different process conditions, and parameters and weight coefficients can be dynamically adjusted. And moreover, rework can be reduced, automatic adjustment is realized through closed-loop feedback control, the production stability and efficiency are improved, and the cost is reduced.

The invention discloses a face recognition method and system based on cross-age features, belongs to the technical field of face recognition, and is used for solving the problems that traditional face recognition is slow in old people who need to see a doctor through face recognition, slow recognition and recognition errors are easily caused for people with large age spans, and the face recognition efficiency is high. And the medical seeing efficiency of the user is influenced. The method comprises the following steps: performing marking processing on cortical layer texture features and variable epidermal layer features on an acquired initial facial image, and determining a facial cortex feature image; carrying out dynamic stripping processing on variable epidermal layer features in the facial cortex feature image, and carrying out physical optical constraint on dermal layer texture features; carrying out extraction processing on facial feature points under related topological structures and shapes on the optimized facial image; performing age attribute editing diffusion processing on the optimized face image; and performing feature dimension reduction processing on the face key features, and determining social security identity information of the medical seeking personnel.

The invention provides a three-dimensional object surface defect detection method based on cooperation of multiple mechanical arms, and belongs to the technical field of defect detection. A series of detection points are generated according to a to-be-detected object CAD model and serve as position point coordinates of the mechanical arm for defect detection; then the number of the mechanical arms participating in the task is determined according to distribution of the detection points, and the detection points are grouped and distributed to all the mechanical arms; after distribution is completed, a continuously optimized sequential greedy search algorithm is used for conducting reasonable mechanical arm path planning, so that the mechanical arm can achieve full-coverage defect detection on the surface of the object; and finally, starting to execute a task, performing detection by utilizing a multi-stage defect detection method based on physical optical compensation and dynamic region growth according to image information acquired by the mechanical arms, generating a visual result report, and realizing efficient and accurate detection of surface defects of the three-dimensional object by virtue of cooperation of the multiple mechanical arms. And a reliable quality detection means is provided for industrial production.

A computer-implemented method includes receiving environment description data associated with a simulated environment including an object and identifying an object type of the object. The method includes, in response to the object type being a human, identifying a motion type associated with the object, loading a CAD model associated with the object, loading a motion file associated with the motion type, and mapping the CAD model to the motion file. The method includes performing ray tracing simulation, performing physical optics simulation, calculating at least one of a Doppler shift and a micro-Doppler shift for each ray of a set of rays, performing ray clustering, and transforming a simulation output for display on a user device. The simulation output includes a motion simulation associated with the motion type of the object. The motion simulation includes a main motion of the object and a set of micro-motions of the object.

The invention provides a training method of an underwater image enhancement network model, an underwater image enhancement method, equipment and a storage medium. According to the method, the underwater image data and the overwater image data which are not paired are used for training, and the problem that a complex underwater degradation mode is difficult to model by a traditional method is solved through enhancement-degradation and degradation-enhancement bidirectional mapping; meanwhile, the introduction of the physical optical model ensures that the enhancement result accords with the optical law, and avoids artifacts or distortion possibly generated by a pure deep learning method, thereby effectively improving the quality and stability of the enhanced image, and solving the technical problems of poor underwater image enhancement effect and low image quality in the prior art.

The invention provides a ship detection-oriented multi-source remote sensing image fusion method, a ship detection-oriented multi-source remote sensing image fusion medium and a ship detection-oriented multi-source remote sensing image fusion system, and belongs to the technical field of remote sensing images. Constructing an electromagnetic scattering constraint model based on physical optical approximation and a geometric diffraction theory to calculate a predicted value of the backscattering cross section of the target, introducing a fusion cost function, generating a fusion weight matrix by adopting an adaptive feature weighting model, and performing multi-scale fusion on the image through hypercomplex wavelet transform; and iteratively optimizing the fusion result by using an information diffusion heat conduction equation, and performing physical consistency correction to output an enhanced fusion image, thereby solving the technical problem of poor physical consistency of the fusion result caused by lack of physical model constraint when the synthetic aperture radar image and the multispectral image are fused.

The invention relates to a multi-target structured scene electromagnetic calculation method based on a bounce ray algorithm, and the method comprises the steps: generating a corresponding ray tube based on a surface element for a structured complex scene; ray tube tracking is accelerated by adopting a BVH method; and completing ray tube electromagnetic calculation by adopting a GPU parallel calculation mode to obtain an electromagnetic scattering characteristic result corresponding to the structured complex scene. Compared with the prior art, aiming at single-target and multi-target structured scenes, a bounce ray (SBR) method is developed, a ray tube is constructed through a triangular patch, ray tracing is carried out based on forward and backward rays, a hierarchical bounding volume acceleration tree structure is adopted in the ray tracing process to improve the calculation efficiency of the SBR method, GPU acceleration calculation is adopted in the scattered field calculation process, and the calculation efficiency of the SBR method is improved. The bottleneck that a traditional moment method is low in calculation efficiency when processing a large scene and a physical optical method is limited in calculation precision can be broken through, and the calculation efficiency and the calculation precision are effectively improved.

The invention relates to the technical field of machine vision, and discloses a cold-rolled strip steel surface defect detection method which comprises the following steps: acquiring a multi-modal image sequence of a to-be-detected surface; inputting the sequence into a pre-trained generative adversarial reconstruction network, and determining surface defect information by calculating a residual error between an original input sequence and a reconstruction sequence output by the network; wherein the generative adversarial reconstruction network is trained only by using defect-free samples, and a composite loss function adopted in the training process of the generative adversarial reconstruction network comprises a physical consistency loss. The loss item is calculated based on a preset physical optical digital twinning model used for describing optical characteristics of the ideal defect-free surface. By utilizing physical optical digital twinning and online self-calibration, high-sensitivity detection of unknown defects is realized, and long-term stability of the system under a dynamic working condition is guaranteed.

A human body pose estimation method based on radio frequency heatmap data enhancement is provided, including the following steps: firstly, obtaining the mesh data of human body pose, simulating a radar by using a physical optics method, and obtaining human body mesh features including a radar cross section by irradiating a human body mesh model; secondly, processing the human body mesh features including radar cross section to obtain preliminary simulated radar heatmaps; then inputting the preliminary simulated radar heatmaps into a heatmap conversion network map2map based on U-net, outputting synthetic radar heatmaps, and performing training; finally, combining the synthetic radar heatmaps with real radar heatmaps to construct a mixed data set, obtaining a human body pose skeleton through a human body pose estimation network based on the radar heatmaps, and performing training to complete the human body pose estimation.

The invention relates to the technical field of curved screens, and discloses a brightness compensation method for a curved screen. The method comprises the following steps: acquiring space coordinates of each pixel point of the curved screen through high-precision three-dimensional scanning; calculating a local curvature radius and a normal vector of each pixel point based on differential geometric analysis; constructing a physical optical attenuation model coupled with the parameters, and generating a pixel-level brightness compensation lookup table; and performing real-time multiplication compensation on original image data in a display driving stage. The system comprises a three-dimensional shape acquisition module, a geometric parameterization module, an attenuation modeling module, a lookup table storage module and a real-time correction module. According to the invention, through combination of the actually measured morphology and the physical model, the full-screen brightness uniformity is realized, and the visual experience is improved.

The invention discloses a light field microscopic self-supervised denoising system and method fusing a physical process. The system comprises a light field imaging subsystem and a self-supervised denoising subsystem. The light field imaging subsystem is used for capturing multi-view light field original data of a sample; the self-supervised denoising subsystem is used for processing original data of a light field, preprocessing the original data of the light field in a training stage, and decomposing the original data into multi-view sub-images; the method comprises the following steps: constructing original data of a training set through two different self-supervision strategies, and then generating a self-supervision training data pair through RL deconvolution according to a physical optical process; and finally, a denoising model is obtained through 3D neural network training. In the reasoning stage, light field original data to be reconstructed are preprocessed and then subjected to RL deconvolution to generate input data to be denoised, the input data are input into the trained denoising model, and a reconstruction result is output. According to the invention, the problems of noise amplification, data dependence and poor universality of the light field fluorescence microscope are effectively overcome.

The utility model relates to the technical field of physical experiment tools, and provides a light source frame for a physical experiment. The sliding frame is rotationally connected to one side of the top end of the anti-skid base, a graduated scale is fixedly connected to one end of the inner wall of the sliding frame, and a liquid bubble leveler is fixedly connected to the middle position of the bottom end of the graduated scale; the sliding seat is movably connected to the sliding frame, and one end of the sliding seat is fixedly connected with a horizontal indication block; the fixed seat is fixedly connected to one end of the top end of the sliding seat, a sliding plate is arranged at one end of the fixed seat, and a shading plate, a lens body and a light source body are arranged at the top end of the sliding plate; by arranging the liquid bubble leveler and the leveling assembly, horizontal adjustment of the sliding frame is achieved, the situation that the precision of a final physical optical experiment is affected due to inclination of the sliding frame caused by non-horizontal placement of the anti-skid base is avoided, and the practicability of the device is improved.

The invention belongs to the technical field of electromagnetic field calculation, and discloses a method and a system for calculating an electromagnetic scattering field of a moving target coated with a lossy dispersive medium. The method comprises the following steps: firstly, carrying out three-dimensional modeling on a target surface by adopting triangular surface elements to form a model file, and importing the model file into a main program to obtain geometric feature data of a target; secondly, carrying out relativistic coordinate transformation on the space-time component by utilizing Lorentz transformation, and mapping a dynamic problem to an inertial coordinate system synchronous with a target; then establishing an equivalent reflectivity model for the lossy dispersive medium coated area by adopting a transmission matrix method; then efficiently solving a transient scattering field in the motion coordinate system by adopting a time domain physical optical method; and finally, reconstructing a calculation result to a laboratory coordinate system through inverse Lorentz transformation, and outputting electromagnetic field distribution in a dynamic scene. Through the method provided by the invention, the electromagnetic scattering field of the moving target coated with the lossy dispersive medium can be quickly calculated.

The invention discloses a digital optical simulation test method and device, a storage medium and a product, and relates to the technical field of simulation tests.The digital optical simulation test method comprises the steps that modeling parameters and modeling objects are obtained, a corresponding target scene model is established, the modeling objects comprise a target vehicle, and the modeling parameters comprise the modeling parameters and the modeling objects; the modeling parameters comprise environmental parameters, physical optical parameters and motion parameters, establishing a virtual camera and a virtual sensor in the target scene model, and generating a simulation image based on the environmental parameters, the physical optical parameters, the motion parameters, the virtual camera and the virtual sensor, and performing a simulation test on the auxiliary driving system of the target vehicle in a pure digital environment. According to the invention, the simulation test is carried out by establishing the model, the real vehicle does not need to run for a long distance on the road, and the test efficiency is improved. And simulation testing can be performed on different environments, object optical materials and vehicle driving scenes by setting modeling parameters, so that the comprehensiveness of the test scene is improved.

The invention relates to the technical field of computational electromagnetism, in particular to a metasurface scattering behavior analysis method and device, equipment and a storage medium. The method comprises the following steps: tracking an incident wave emitted into the metasurface based on geometrical optics; for the tracked incident wave, determining a first relationship between the equivalent surface current and the scattered field based on physical optics; determining an equivalent surface current based on the generalized boundary condition and a surface polarizability model; and determining a scattering field by combining the equivalent surface current and the first relationship by adopting Gordon integral. According to the metasurface scattering behavior analysis method provided by the embodiment of the invention, the surface polarizability model is combined with physical optics and geometrical optics, so that the scattering behavior related to the metasurface target can be effectively analyzed, and meanwhile, the calculation amount is reduced.

The application belongs to the technical field of optical experiment instruments, and particularly relates to a physical optics comprehensive experiment device, which comprises an optical support, a laser, an industrial camera and a rotating disc device. The optical support comprises a mounting platform and flip frames movably arranged at both ends of the mounting platform. The middle part of each flip frame is arranged in a bent manner, and the flip frame is flipped by the driving of a flipping driving mechanism. The bent part of each flip frame is hingedly provided with a mounting seat, and the mounting seat is also flipped by 90 degrees through the flipping driving mechanism to realize the unfolding and storage of the mounting seat. The mounting seat of one flip frame is provided with the industrial camera, and the mounting seat of the other flip frame is provided with the laser. The mounting platform is provided with a sliding groove, and the sliding groove is slidably provided with two rotating disc devices. The rotating disc devices are driven to translate by a displacement driving mechanism, and the optical support can be changed into different structures to cooperate with different types of optical elements through one-key control by a button, so that different optical path systems can be switched to meet the needs of different optical experiments.

The application discloses a kind of high weatherability polyvinyl chloride cable material and preparation method thereof, including the following weight parts of component: PVC resin 100 parts;Plasticizing system 35-55 parts;Dynamic crosslinking toughening compound 8-20 parts;Calcium-zinc stabilizer 4-8 parts;Ultraviolet light stabilizing system 0.3-1.5 parts;Flame-retardant-reinforcing synergic system 30-60 parts;Processing lubricating system 1-3 parts.The application constructs dynamic reversible ionic crosslinking network in PVC cable material for the first time, and simultaneously solves the two big problems of small molecule plasticizer migration and low temperature brittleness, unifies the inherent contradiction of cold resistance and anti-migration;Gradient refractive index core-shell toughening agent is designed and applied as "structured ultraviolet trap", and the ultraviolet absorption efficiency is greatly improved through physical optical mechanism, realizes the synergy of toughening and super long weather resistance, and does not depend on excessive carbon black, which provides design space for product color.

The invention discloses an intelligent identification and elimination method for drug tiny foreign matters based on multispectral fusion, and relates to the technical field of automatic quality detection of drug production. Active detection is carried out by utilizing a dynamic spectrum modulation sequence generated as required, and collaborative analysis of reflection and transmission light paths is combined; the physical and optical characteristics of foreign matters can be obtained from multiple dimensions, and foreign matter signals and complex background noise of a drug substrate are effectively distinguished, so that erroneous judgment caused by factors such as texture and chromatic aberration of drugs is reduced, the capability of detecting foreign matters which are difficult to detect by traditional methods such as transparent, semitransparent and internal wrapping methods is enhanced, and the detection accuracy is improved. By introducing a rejection verification feedback and online learning mechanism, the system can audit a judgment result of the system in real time, autonomously learn from misjudgment cases and dynamically adjust identification model parameters and even a front-end spectrum sensing strategy, so that the system can automatically adapt to switching of different drug varieties and change of a production environment.

The utility model relates to the technical field of physical optics double-slit interference experiment lenses, in particular to a double-slit interference single-slit and hole diffraction experiment lens which comprises a first supporting shell, a second supporting shell and an experiment lens, the first supporting shell is connected with the second supporting shell in an abutting mode, and the experiment lens is fixed between the first supporting shell and the second supporting shell. According to the utility model, the double supporting shells are connected through the movable buckles, and the size positioning of the steps in the supporting shells is controlled, so that various experimental lenses with different contents can be replaced at will, and the positions of the experimental lenses in the first supporting shell and the second supporting shell are fixed and supported under the connection of the insertion blocks and the insertion holes; under the protection effect of the first supporting shell and the second supporting shell, pollution to the surface of the experiment lens during taking is avoided, under the effect of the frosted plate on the surface of the supporting shell, various experiment instruments can be conveniently clamped, placed and supported, and the clamping friction force and the stability performance of the experiment instruments are improved.

This invention belongs to the field of computer vision and environmental monitoring technology, specifically relating to an environmental monitoring method and system based on images captured by unmanned aerial vehicles (UAVs). The method includes: acquiring images of a stockpile captured by the UAV and performing superpixel segmentation; extracting the color space statistical features, gray-level co-occurrence matrix features, and gradient features of each superpixel block; constructing a decoupling relationship for illumination saturation and using saturation differences to eliminate shadow interference; constructing a texture wetting smoothing relationship and using texture energy and gradient variance to eliminate interference from dark minerals; calculating an environmental compliance index based on the illumination saturation decoupling index and the texture wetting smoothing index, generating a heat map, and controlling the operation of dust suppression equipment accordingly. This invention, by decoupling physical optical features, effectively reduces misjudgments caused by backlighting, shadows, and the natural color of the ore, achieving accurate identification of the surface wetness of the stockpile, saving water resources, and improving dust suppression effectiveness.

The invention relates to the technical field of optical system design and optimization, and discloses a bifocal optical system optimization method based on a fundamental mode Gaussian beam. The method comprises the following steps: constructing a light field transmission model based on a generalized Huygens-Fresnel diffraction principle, and calculating to obtain an emergent field and on-axis light intensity distribution after passing through a bifocal system. A light intensity main maximum value point is identified, and the offset between the light intensity main maximum value point and a geometric focus is calculated, so that the occurrence criterion of a quantitative focus switching phenomenon is formed, and the stability of the focus is analyzed. And on this basis, joint iterative optimization is carried out on the beam truncation parameters and the Fresnel number, system parameters are adjusted until the stability meets a preset threshold, and finally an optimized system configuration scheme is output. According to the method, focus position jump caused by the physical optical effect can be effectively pre-judged and inhibited in the design stage, and the reliability and stability of the bifocal system in actual work are improved.

The invention relates to an electromagnetic scattering simulation method, device and equipment, a medium and a computer program product. The method comprises the following steps: acquiring a target base station of an area where target intelligent sensing equipment is located and a scatterer in a radiation field formed by electromagnetic waves emitted by the target base station; dividing the surface of the scatterer into a plurality of triangular large surface elements, and constructing a scatterer electromagnetic scattering field simulation model according to the plurality of triangular large surface elements; according to the scatterer electromagnetic scattering field simulation model, determining the induction current density of the surface of the scatterer through a large-surface-element physical optical method; and determining an electromagnetic scattering field of the scatterer to the target intelligent sensing equipment according to the induced current density. The method can give consideration to both the calculation speed and the calculation amount, and improves the calculation efficiency.

A system and method for registering and tracking anatomical structures during surgical procedures by leveraging continuously updated 3D topological data of objects within the surgical field. Registration allows different datasets such as preoperative CT scans and intraoperative 3D scans to be aligned, combined, and transformed into a common coordinate space, enabling more precise surgical planning and execution. Tracking involves continuously registering these datasets over time, monitoring changes in position or orientation, and keeping objects aligned within the common coordinate space, updating the spatial alignment of registered objects multiple times per second, which allows for dynamic monitoring of anatomical structures and surgical tools as they move throughout the procedure. Unlike traditional systems that rely on physical optical markers (OMs) and optical tracker constellations (OTCs), the system and method disclosed herein utilizes the data captured by a 3D scanner to perform Continuous Anatomic Auto Tracking (CAAT).

This invention proposes a multi-layer fusion method and system for pathological images based on self-supervised training and continuous depth field. This method addresses the problems of label dependence and loss of high-frequency biological details caused by neural network spectral bias in existing fluorescence microscopy image fusion. It uses a three-dimensional convolutional neural network to encode spatial and depth joint features of multi-layer image sequences, and decouples the predicted continuous depth field topographic map and foreground confidence mask in parallel. A physically differentiable rendering layer calculates fusion weights based on the continuous depth field to complete weighted fusion, and combines mask soft suppression to output a full depth-of-field image. A self-supervised joint loss function, including high-frequency focusing loss, depth smoothing loss, and mask constraint loss, is constructed based on physical optics priors. The physical correlation between the input sequence and the fused image is used as a supervision signal for closed-loop optimization. High-fidelity fusion can be achieved without manual annotation, effectively preserving the details of minute biological structures.

The utility model relates to the technical field of physical optical experiments, and discloses a Michelson interference fringe automatic counter, which comprises a laser light source, a Michelson interferometer and a photosensitive diode, the Michelson interferometer is fixedly installed, the laser light source is arranged at the light source input end of the Michelson interferometer, and the Michelson interferometer is arranged at the light source input end of the Michelson interferometer. A diode fixing frame is arranged at the annular pattern output position of the Michelson interferometer, an observation screen is arranged on the diode fixing frame, the observation screen is located at the annular pattern imaging position of the Michelson interferometer, a photosensitive diode is arranged on the diode fixing frame, the light receiving surface of the photosensitive diode is located at the position of the observation screen, and the light receiving surface of the photosensitive diode is located at the position of the observation screen. And the photosensitive diode converts the ring pattern of the Michelson interferometer into an electric signal and outputs the electric signal. According to the utility model, the number of interference ring patterns can be automatically counted, and a fast, accurate and fast metering method is provided for optical experiments.

The application discloses a group target RCS optimization method based on space mapping and multi-stage electromagnetic modeling, and the method comprises the following steps: under a given RCS threshold, for initial group target space distribution positions and postures, a hummingbird optimization algorithm is combined with an electromagnetic scattering solver based on a physical optical method to perform parameter optimization; the optimal solution of a coarse model is used as an initial design value of a fine model, a mode reconstruction algorithm is combined with a fast multipole technique to accelerate electromagnetic coupling calculation between targets; if the fine model result meets the RCS threshold requirement, the optimization is terminated; if the threshold is not met, a space mapping relationship between the coarse model and the fine model is established through parameter extraction, the next fine model design value is predicted, and RCS is recalculated for threshold judgment until convergence is achieved. The space mapping algorithm is combined with the coarse model with high calculation efficiency and the fine model with high precision, RCS optimization of the group target formation is realized quickly and accurately under the premise of ensuring electromagnetic calculation precision.

This application belongs to the field of heliostat technology, specifically relating to a multi-tower collaborative method for testing the reflectivity of a tower-type photothermal heliostat. By controlling the heliostat to accurately align the reflected light from the light source with a camera, and utilizing the light spot intensity information collected by the camera, combined with an established physical optical model, in-situ, non-contact testing of the mirror reflectivity is achieved. The core of the multi-tower collaborative testing method lies in modeling the selection problem of each batch of heliostats as a bipartite graph maximum flow problem with capacity constraints, and iteratively solving it to maximize the number of heliostats tested simultaneously in each batch. This allows for the simultaneous testing of dozens or even hundreds of heliostats, greatly improving testing efficiency. Furthermore, by using light spot intensity and the physical optical model, reflectivity can be tested more accurately, reducing errors.

The invention discloses an anti-laser interference imaging system based on intelligent optical calculation, and belongs to the technical field of optics. According to the invention, a set of end-to-end laser immune imaging system from a physical layer to an algorithm layer is constructed, a trainable physical optical neural network is integrated in an imaging light path as a hardware front end, and physical inhibition of laser interference is realized in an optical signal stage through a wavefront modulation mechanism. By utilizing the essential difference between the coherence of the laser and the incoherence of the natural light in physical characteristics, energy scattering is performed on the laser with a specific wavelength through an optimally designed phase modulation diagram, and meanwhile, high-flux transmission of the natural light is kept, so that an overexposure phenomenon is effectively avoided before the sensor receives the light. The mechanism not only solves the problems that a traditional optical filter is fixed in bandwidth and poor in adaptability, but also breaks through the bottleneck that details are difficult to recover due to information loss in pure algorithm processing. Meanwhile, the anti-interference of the multi-spectrum laser is innovatively designed, so that the system can realize wider-spectrum laser protection.

The application belongs to the field of physical optical measurement, and particularly relates to a double-slit interference experiment device. The device comprises an optical platform, a first sheet element, a second sheet element, a first clamping groove, a second clamping groove and a micrometer. The first sheet element comprises spaced light-transmitting areas and non-light-transmitting areas. The second sheet element comprises spaced non-light-transmitting areas and light-transmitting areas. The two sheet elements are close to each other and are fixed on the first clamping groove and the second clamping groove respectively. The first clamping groove is fixed on the platform. The micrometer comprises a micrometer screw, a knob and a scale and is fixed on the platform. The end of the micrometer screw is connected with the end of the second clamping groove close to the fourth non-light-transmitting area. When the knob is rotated, the micrometer screw drives the second clamping groove to move along the axis of the micrometer screw. The light-transmitting areas and the non-light-transmitting areas of the two sheet elements are staggered to form a double slit. Compared with the prior art, the application has the advantages that the precise adjustment of the width of a single slit and the distance between double slits can be realized simultaneously, and the occurrence of the phenomenon of missing steps can be effectively avoided.