328 results about "Holographic imaging" patented technology

The invention belongs to the technical field of underground engineering unfavorable geological disaster prediction and intelligent control, and provides a tunnel unfavorable geological physical field-hydrological field fusion holographic detection method and system. Detection information of various physical fields such as an induced electric field, a seismic electric field, a natural electric field and a hydrological field is used as a fusion data source; establishing a coupling objective function taking cross gradient inversion as a physical constraint condition; a CNN-GNN-Transform hybrid network is constructed, and multi-level feature fusion is carried out; through contribution of physical constraint conditions in a self-adaptive weight dynamic balance coupling objective function and deep learning data driving feature learning capability of a hybrid network, multi-field holographic interpretation with a hybrid deep learning model as a carrier is realized, and the fusion degree of multi-source heterogeneous data is improved. Three-dimensional holographic imaging and water gushing prediction of a water gushing disaster source can be achieved, and the accuracy of unfavorable geological disaster detection and the reliability of intelligent decision making are improved.

The invention discloses a total-space near-far field regulation and control method based on a coherent pixel super-structure surface. The method comprises the following steps: 1) constructing a nano-structure unit and a super-unit; 2) optimizing the structural parameters of the nano-structure unit according to the incident light wavelength lambda, and verifying the regulation and control effects of the super-unit I and the super-unit II; and 3) constructing a nano-structure array, wherein the nano-structure array comprises a plurality of super-units I and super-units II. Left-handed / right-handed circularly polarized light is set to be incident to the surface of the single-layer metastructure, binary nano printing of an image is achieved in a near field, and near-field nano printing intensities in a transmission space and a reflection space are complementary; different holographic patterns are respectively presented in the far-field transflective space, and the far-field transflective channels are regulated and controlled by mutually independent and continuous phases. By properly designing the single-layer nano brick, continuous and independent phase control of reflection and transmission spaces can be realized without additional equipment, far-field holographic imaging and near-field nano printing can be realized, and the single-layer nano brick can be applied to the fields of depth detection, three-dimensional imaging, optical encryption, high-resolution image storage and the like.

The invention discloses a single-pixel phase imaging method, system and device and a storage medium, and the imaging system comprises a light source, a preprocessing module, a first spatial modulator, a second spatial modulator, a lens, a detector, a data collection card and a processor. After passing through the first spatial modulator, the measured object, the second spatial modulator and the lens in sequence, the light reaches the detector; the imaging method comprises the following steps: acquiring a first hologram and a second hologram which differ from a preset phase shift, calculating a hologram of a measured object according to the first hologram, the second hologram and a preset calculation formula, and calculating a reconstructed image of the measured object according to the hologram of the measured object and a preset algorithm. The embodiment of the invention improves the efficiency of phase shift holographic imaging, and can be widely applied to the technical field of imaging.

The invention belongs to the technical field of flight test photoelectric testing, and particularly relates to a cloud particle parameter measuring device and method based on digital holographic imaging. The device comprises a device pneumatic shell (100), a signal transmitting end arm (300), a signal receiving end arm (200), a measuring module and a data processing module, the device pneumatic shell (100) is integrally provided with a columnar pneumatic appearance, the signal transmitting end arm (300) and the signal receiving end arm (200) are arranged at the same end of the device pneumatic shell in parallel, and the opposite sides of the signal transmitting end arm (300) and the signal receiving end arm (200) are provided with a transparent transmitting light window (301) and a transparent receiving light window (201) respectively. The measuring module is arranged in the pneumatic shell of the device, the measuring module generates an emission light beam, the emission light beam is emitted through the signal emission end arm and then received through the signal receiving end arm to form holographic image information, and the holographic image information is transmitted to the data processing module; and the data processing module analyzes the image and calculates to obtain a particle median volume diameter MVD and an atmosphere liquid water content LWC. Accurate measurement of geometric quantities such as three-dimensional morphology, particle size distribution and the like, motion quantities such as three-dimensional speed, rotation characteristics and the like, and statistical quantity information such as median volume diameter (median volume diameter), liquid water content (liquid water content) and the like of ice crystal / water drop particles in multi-scale complex-form cloud can be realized; and autonomous control of the core test equipment for the icing flight test of the aircraft is realized.

The invention relates to the technical field of acoustic imaging, and relates to a phase holographic imaging device based on an acoustic metamaterial, which comprises a sound wave generator, an LAM metasurface and a control unit, the sound generator is used for generating plane sound waves; the LAM metasurface is used for receiving sound waves and modulating phase and amplitude; the control unit is used for controlling the structure and the geometrical shape of the cells in the LAM metasurface; enabling sound waves to reach a decoupling point in the internal structure space of the LAM metasurface under the irradiation of front sound; decoupling modulation of the phase and amplitude of surface reflection sound waves by the cells is realized; and the processor is used for calculating the sound pressure projected to the holographic surface phase position according to the input image, and adjusting the size parameters of the cells in the LAM metasurface through the controller. After the incident sound wave interacts with the LAM metasurface, the incident sound wave is demodulated and re-modulated and is reflected at an angle perpendicular to the LAM subsurface. The LAM metasurface does not apply any angle constraint to incident sound waves; the angle of the reflected wave is always perpendicular to the LAM surface. And the imaging quality of the required phase acoustic hologram after amplitude compensation is met.

The invention relates to the technical field of crack detection, in particular to an intelligent detection system for house outer wall cracks, which comprises an optical frequency comb scanning module, a polarized light scattering analysis module, a holographic imaging refining module and a data integration and alarm module. According to the invention, the optical pulse emitted by the laser source is accurately controlled, high-precision scanning is carried out on the outer wall of the house, and the data acquisition precision is optimized, so that the spatial position information is captured more accurately, and the roughness and structure change information of the crack surface is extracted according to the polarization state change of the light through the measurement of the polarized light. The three-dimensional form of the crack is recovered by utilizing a holographic imaging technology, a detailed three-dimensional view of the crack is provided, and the crack change can be monitored in real time through comprehensive processing of data and setting of a warning threshold, so that the response speed and the processing efficiency of crack monitoring are remarkably improved, and the human intervention requirement is reduced; and the capability of preventing and dealing with crack propagation is improved.

The invention discloses a multi-wavelength high-color-difference metasurface color holographic device and a design method thereof.The method comprises the steps that firstly, a nano-column super unit is simulated and then serves as training data of a four-port neural network model, a well-trained forward prediction model is obtained, a prediction response database is constructed, and the prediction response database is used as a prediction result; and according to the phase demand of the target image, a corresponding unit structure is matched in the prediction response database, the multi-wavelength high-chromatic-aberration metasurface color holographic device is designed, and full-mode electromagnetic simulation is carried out. According to the scheme, when holographic imaging is achieved, the RGB energy efficiency is improved, and positive illumination high-efficiency metasurface color holographic imaging can be effectively achieved. The method belongs to a non-filtering type multi-wavelength high-color-difference metasurface color holographic device design method, information of three channels of red, green and blue is coded into sub-pixels at the same time, each sub-pixel responds to RGB light, and compared with a traditional mode that RGB sub-pixels respond respectively, the space utilization rate and energy efficiency of three primary colors are greatly improved.

The invention discloses an immunodetection method based on holographic imaging mode conversion and deep learning, and belongs to the field of immunoassay detection. The deep learning holographic mode conversion system constructed based on the non-paired data set reduces the influence of diffraction interference on target quantification to the greatest extent, so that holographic super-resolution imaging is realized, and challenges in paired data set generation are overcome; besides, a functional glass slide is designed, and rapid and sensitive holographic imaging detection is realized in combination with a click reaction signal amplification strategy; the functionalized glass slide is combined with the portable holographic imaging equipment, so that the detection efficiency of the system is greatly improved while accurate signal amplification is carried out, the application scene is expanded, and antibiotic residues can be rapidly and sensitively detected. The invention opens up a new research direction for high-sensitivity on-site convenient detection of trace target objects in portable equipment and complex samples.

The invention discloses a micro-scale tin soldering device and method for ultrasonic laser composite energy field coordinated regulation and control. The micro-scale tin soldering device comprises a coordinated energy output module, a multi-physical field monitoring module, a wire feeding module, an intelligent regulation and control system and a motion platform, and a workpiece to be welded is arranged on the motion platform; the collaborative energy output module comprises a laser unit, an ultrasonic vibration unit and a focusable focus lens, the ultrasonic vibration unit comprises an ultrasonic generator, and the multi-physical field monitoring module comprises an infrared thermometer, a high-speed holographic imaging system and an acoustic impedance sensor; the high-speed holographic imaging system is used for recording brazing filler metal molten pool flowing and IMC nucleation dynamic states; the acoustic impedance sensor monitors the ultrasonic energy transmission efficiency; the intelligent regulation and control system is electrically connected with the multi-physics field monitoring module, and a multi-physics field coupling prediction model based on an LSTM neural network is arranged in the intelligent regulation and control system. According to the technical scheme, the structural design is reasonable, the energy field coupling efficiency is high, the material adaptability is high, the structure performance is controllable, the defect rate is remarkably reduced, and practicability is good.

The utility model discloses a spin multiplexing dynamic holographic imaging device, which relates to the technical field of microwave frequency band electromagnetic wave regulation and control and comprises a plurality of dynamic achiral elements, and each dynamic achiral element sequentially comprises an umbrella-shaped patch structure, an upper-layer medium, a metal reflection back plate, a middle-layer medium, a feeder line structure and a lower-layer medium from top to bottom. The umbrella-shaped patch structure comprises a first arc arm, a second arc arm and a middle shaft, and PIN diodes are symmetrically embedded into the first arc arm and the second arc arm relative to the middle shaft. According to the utility model, the working states of the PIN diodes on the first arc arm and the second arc arm are respectively regulated and controlled, so that independent regulation and control of left-handed and right-handed circular polarization co-polarization reflection amplitudes and phases under the incidence of orthogonal circular polarization waves are realized; and arranging the plurality of dynamic achiral elements according to the regulated amplitude and phase distribution to form a spin multiplexing dynamic holographic imaging device, and respectively generating two completely different holographic images which are designed in advance in the corresponding polarization channels.

The invention discloses an X and Y polarization independent control programmable metasurface unit, and signal output is expanded through an IIC bus mode, so that each metasurface unit in a metasurface array can independently input an electric control signal. Two diodes are integrated in the X direction and the Y direction in the units respectively, 180-degree phase mutation can be achieved by changing voltages at the two ends of the diodes, and coding in the X direction and coding in the Y direction are independent and do not interfere with each other. The coding metasurface is constructed by utilizing the polarization independent control and programmable characteristics of the unit. The metasurface can achieve the holographic imaging effect through a specific coding array, and the holographic imaging real-time switching effect can be achieved by changing the output signal array of the FPGA. The metasurface can achieve dynamic holography under X polarization incidence and can also achieve dynamic holography under Y polarization incidence, polarization is independently controlled, the transmission amount of information can be increased through the characteristic, and the metasurface can also be used for a polarization encryption method in microwave imaging. The invention provides a new scheme for expanding a dynamic holographic channel.

The present invention is applicable to the field of VR interactive technology, and provides a VR multi-terminal collaborative interaction method, system, computer equipment and storage medium, including: displaying VR scene images through a VR holographic imaging screen, when the VR scene image appears an interactive scene after a set time value, displaying several interactive selection pop-up windows linearly in the lower edge area; receiving interactive commands input by several interactive control terminals, and installing interactive control terminals on the front seats of the VR holographic theater, and each interactive selection pop-up window corresponds to a front seat; fusing the interactive commands to obtain fusion data, and determining the plot scene of the corresponding interactive scene according to the fusion data; when the VR scene image is played and displayed, generating a VR program list selection pop-up window, receiving the VR program selection instruction input by the interactive control terminal, and determining the next VR program to be played. In this way, more connections are generated between the plot and the audience, and the audience's sense of participation will be stronger.

The invention provides a polarization adjustable spin decoupling metasurface based on a perovskite material. The metasurface is characterized in that the metasurface is of a three-layer structure, namely a perovskite and metal pattern layer (1), an intermediate dielectric layer (2) and a reflection bottom layer (3) from top to bottom in sequence. When the perovskite is in a metal state, the designed metasurface can independently adjust left-handed and right-handed circularly polarized light; when the perovskite is in an insulated state, the designed metasurface can independently adjust x and y linear polarized light; by switching the state of the perovskite, the phases of the circularly polarized light and the linearly polarized light can be regulated and controlled at the same time, so that different functions are realized. The optical metasurface designed by the invention has huge potential in a terahertz frequency band, and can be widely applied to beam shaping, holographic imaging, information encryption, super lenses and the like.

The invention discloses a polarization imaging device and a polarization analysis method based on single-frame polarization collinear holography, and relates to the field of polarization imaging.According to the polarization imaging device, through combination of optical elements such as a half-wave plate, a Wollaston prism and a CCD camera, spatial multiplexing of a detector plane is carried out, and the polarization collinear holography is obtained. And four polarization collinear holograms can be simultaneously acquired by a single frame. According to the polarization analysis method, a Fourier transform auxiliary angular spectrum method is adopted to analyze an intensity distribution diagram of a polarization collinear hologram to estimate initial wavefront distribution, and an iterative finite support constraint selection method is adopted to solve the problem of twin images in the polarization collinear hologram. And further quantizing a complete Jones matrix and a complete Stokes parameter from the finally reconstructed complex amplitude information. The invention solves the problems of high complexity and long processing time caused by independent reconstruction of amplitude, phase and polarization in the traditional polarization holographic technology, and effectively solves the problem that the traditional off-axis polarization holographic imaging system limits the size of an imaging field of view.

The invention relates to the technical field of human body breathing micro-motion modeling and holographic imaging, and particularly discloses a radar human body breathing micro-motion 4D modeling and high-resolution holographic imaging method, which is characterized by comprising the following steps of: performing irradiation perception on a human chest target by adopting a multiple-input multiple-output plane radar array; a thoracic cavity target is regarded as a'vector signal source ', namely the thoracic cavity target is equivalent to a set of scattering points of which the spatial positions are mutually discrete; in the geometric model, a graphical representation 3D space coordinate system is established by taking the center of a radar array as an original point and a plane where the array is located as an XOZ plane. According to the radar human body breathing micro-motion 4D modeling and high-resolution holographic imaging method, the micro-Doppler principle is combined, and the micro-Doppler information of each scattering point in the fourth dimension, namely the slow time dimension, is obtained based on the phase decomposition and extraction technology, so that 4D precise reduction of the fluctuation process of the thoracic cavity of the human body is realized.

The invention provides a three-dimensional holographic imaging method. The method comprises the following steps: loading a holographic pattern to be imaged to a spatial light modulator; modulating a preset laser source by using a spatial light modulator loaded with a holographic pattern to form a first wavefront with initial phase information; carrying out primary scattering on the first wavefront by adopting a first turbid medium lens to form a second wavefront; compensating the second wavefront by adopting a metasurface compensation unit to form a third wavefront; after a second turbid medium lens is adopted to carry out secondary scattering on the third wavefront, a holographic imaging system is utilized to carry out imaging; wherein the metasurface compensation unit is determined according to a transmission matrix of the first turbid medium lens and a transmission matrix of the second turbid medium lens. The imaging view angle can be effectively increased, and the space bandwidth product can be improved.

The invention discloses a super-resolution phase reconstruction method and device, and relates to the field of digital holographic microscopic measurement. The objective of the invention is to solve the problem of low phase reconstruction precision caused by inaccurate registration and splicing of spectrum sub-apertures in existing super-resolution digital holographic imaging. According to the algorithm provided by the embodiment of the invention, accurate position distortion correction and synthesis of frequency spectrum sub-apertures can be realized, and the precision of frequency shift digital holographic super-resolution phase reconstruction is greatly improved; according to the algorithm provided by the embodiment of the invention, the dependence on the mechanical control precision is greatly reduced, the flexible frequency shift operation of any offset is supported, and the hardware cost and the experiment difficulty are reduced.

The invention discloses a multispectral holographic imaging system and an imaging method. The system comprises a multi-wavelength light source module which is composed of a plurality of light source assemblies which are independently driven and have different wavelengths; the optical fiber coupling module is composed of a plurality of optical fiber bundles which are connected with the emergent end face of the light source assembly and used for restraining optical signals of the light source assembly as point light sources. Light signals of the light source assembly are constrained to the light emitting area to form an equivalent point light source; the image acquisition module comprises a sample jig and an image sensor which are coaxially arranged with the emergent end face of the optical fiber bundle, and the image sensor is used for acquiring spectral interferograms of the object light and the reference light; and the control processing module is used for sequentially controlling the switching of each wavelength light source assembly, analyzing and processing a plurality of spectral interferograms, and reconstructing the three-dimensional morphology of the sample through an angular spectrum diffraction algorithm. The problems of aberration, field depth limitation, view limitation, complex structure, high cost, resolution limitation and the like in the traditional microscopic imaging technology can be solved.

The invention relates to an intelligent multi-axis flexible robot arm coal quality detection system based on holographic imaging visual supervision and a use method, and belongs to the technical field of industrial robot application. The self-sensing bionic grabbing structure comprises a base station base, a server, a matched ash content detector, a matched moisture detector, a management and control system, a flexible arm mechanism and a plurality of self-sensing intelligent speed reducers, and a control program and an algorithm server are arranged in the base station base. The assorted ash content detectors and assorted moisture detectors of different models can be trained and learned, the flexible arm mechanism is an intelligent grabbing module for flexibly grabbing detection samples, the flexible arm mechanism is installed on the base table base, a plurality of self-sensing intelligent speed reducers are installed in the flexible arm mechanism, and the self-sensing intelligent speed reducers are arranged on the base table base. And the flexible swinging of the robot arm can be realized when the robot arm is subjected to abnormal load or external force. The device is reasonable in structural design, stable, reliable and high in automation degree, detection efficiency and operation accuracy are improved, and use requirements are met.

The invention discloses a deep learning model for reverse design of a reflective metal metasurface unit, which comprises a VGG-based metasurface spectrum prediction network model and a C-DCGAN-based metasurface unit reverse design network model, and realizes a metasurface holographic imaging experiment under the frequency of 7GHz by using a single-bit coding metasurface of model reverse design. The trained predictor network model can accurately predict the reflection spectrum in the frequency band of 4 GHz-7 GHZ according to the input metasurface unit pattern, and the mean square error of the prediction result of the real part and the imaginary part of the reflection spectrum can reach 0.002 or below. The metasurface unit reverse design model based on the C-DCGAN design can output the corresponding metasurface unit pattern according to the input reflection spectrum, and the fitting degree of the reflection spectrum of the metasurface unit designed reversely and the given spectrum is very high. In an experiment, a network model is utilized to reversely design a single-bit coding metasurface for holographic imaging, and a single-bit coding metasurface holographic imaging experiment under 7GHz is completed on an established metasurface holographic imaging experiment platform. According to the deep learning model for reverse design of the reflective metal metasurface unit, a complicated simulation calculation process can be omitted for the metasurface design process, and the work can be applied to various applications with automatic design requirements of the reflective metal metasurface unit.

The invention provides a tool parameter dynamic matching method and device based on deep learning, and relates to the field of data processing. The method comprises the following steps: acquiring laser holographic imaging data and three-dimensional contour scanning data of a machine tool cutting area at a target timestamp; according to the laser holographic imaging data and the three-dimensional contour scanning data, holographic voxel data and cutting point cloud data are determined; inputting the holographic voxel data and the clipping point cloud data into a four-dimensional grid containing a target timestamp to obtain a four-dimensional snapshot sequence; acquiring a first cutter parameter of the machine tool cutter at the target timestamp; and inputting the four-dimensional snapshot sequence and the first cutter parameter into a preset deep learning causal hypernet to generate a second cutter parameter. By implementing the technical scheme provided by the invention, the cutter parameters can be dynamically matched during machining of the numerical control machine tool.

The invention discloses a holographic reconstruction method and system for a frequency-sensing physical guidance neural network, and relates to the technical field of holographic reconstruction of pictures, and the method comprises the steps: collecting a label data pair set; performing frequency sensing data driven network training by adopting the training set to obtain a pre-trained network model; building a holographic imaging system of an actual environment according to the imaging light path, carrying out collimation operation on the holographic imaging system, and measuring a real object by using the built holographic imaging system to obtain a hologram; and inputting the obtained hologram into the trained network model, adding an imaged forward model on the basis of the network model to carry out iterative optimization, and finally outputting a holographic reconstruction image after enhancement optimization. The method has universality and imaging quality at the same time, the physical forward model and Fourier domain learning are incorporated into network reasoning, the discomfort of digital holographic reconstruction is reduced to a great extent, and high-throughput 3D microscopic imaging is assisted.

The invention relates to the field of network public opinion management and control, in particular to a cross-modal network emergency command system based on a network space model. The method comprises the following steps: acquiring a network public opinion multi-modal data stream, positioning a malicious public opinion propagation source account based on the network public opinion multi-modal data stream, and performing network space cross-layer holographic portraying based on the malicious public opinion propagation source account to generate a source account holographic portraying information set; on the basis, multi-modal feature extraction and network space behavior model construction are carried out on hidden negative guidance behaviors, and an implicit negative information propagation mode model is generated; on the basis, potential malicious account active tracking and risk propagation network mining are carried out, and a potential risk propagation network information set is generated; on the basis, multi-level differential intervention strategies are generated and executed, and a network public opinion intervention strategy instruction set is generated. In the network public opinion emergency command process, pollution of false information to network space is reduced, and construction of healthy and sustainable network ecology is assisted.

The invention provides an infrared induction intelligent interactive projection large screen and ground screen holographic device, and relates to the technical field of intelligent display interaction. The equipment is composed of a large projection screen, a ground screen, an infrared induction device, a data processing host, a feature extraction and intention recognition module, an environment perception and adaptive adjustment module and an intelligent feedback and multi-mode interaction fusion module, and the large projection screen is used for displaying holographic images and has the functions of high brightness, wide color gamut and touch control; the ground screen is made of a transparent holographic imaging material, can synchronously display interaction information and has a touch sensing function, and the infrared sensing device captures three-dimensional action information of a user through an emitter and a receiver which are arranged in a matrix mode. The problems that a traditional display device is poor in interaction experience and single in display effect are solved, natural and smooth long-distance human body action interaction and immersive visual experience are achieved, and the system is suitable for many fields such as science and technology exhibition, commercial exhibition and intelligent education.

The invention belongs to the field of holographic phase reconstruction, and discloses a lightweight coaxial holographic reconstruction method based on a double-domain complex-valued neural network, which achieves the same reconstruction effect under the condition that model parameters and calculated amount are greatly reduced, and adopts a physical process based on a double-domain complex-valued neural network architecture in combination with an optical coaxial holographic imaging model. Firstly, a hologram A and an initial phase construct a complex amplitude, the complex amplitude is input into a double-domain complex-valued neural network, an output complex-valued field C is obtained through spatial domain convolution and frequency domain learning, then a coaxial holographic forward propagation process is simulated, and the intensity is taken as a reconstructed hologram D; and then calculating the similarity between the hologram A and the reconstructed hologram D, and realizing phase reconstruction through a gradient descent optimization algorithm of a complex valued neural network. The invention provides a method for directly reconstructing a complex-valued field by combining a lightweight double-domain complex-valued neural network with physical constraints.

The invention relates to an AI interaction system and method for a multi-modal fusion holographic image. Comprises: a voice interaction module for converting an obtained voice of a user into a text by using a preset SR automatic voice recognition technology, and generating a natural voice reply for the converted text through a preset TTS voice synthesis technology; the image recognition module is used for recognizing animal and plant types, scene features or target objects in the input image of the user based on a preset deep learning model; the AR / VR module is used for fusing virtual information with a real scene in the image recognition module through an augmented reality or virtual reality technology to generate an interactive three-dimensional scene; and the data fusion engine is used for integrating and analyzing the data of each interaction module to generate a collaborative response strategy. Through the multi-modal fusion and holographic image technology, natural switching of interaction modes, efficient and three-dimensional information transmission and full-scene self-adaption are achieved, and man-machine interaction experience and task completion efficiency in a complex scene are remarkably improved.

The invention discloses a digital analysis method and system based on nano lens high signal-to-noise ratio holographic imaging, and belongs to the field of biochemical analysis. According to the invention, the microsphere nanoprobe is combined with a high signal-to-noise ratio holographic microscopic imaging technology, the number of microsphere signal probes in a supernatant / immune complex is changed through a series of biochemical reactions, and high signal-to-noise ratio holographic imaging is carried out on the PS microsphere nanoprobe in the supernatant after magnetic separation; in the holographic imaging process, the surface acoustic wave-interdigital transducer is used for driving and forming a high-signal-to-noise-ratio lensless holographic microscope of a nano lens; and obtaining the number of the microsphere signal probes in the holographic image by using a lightweight unsupervised learning target detection algorithm, and finally realizing accurate quantitative detection of the target object to be detected. Experimental results show that the detection sensitivity and efficiency are effectively improved, and meanwhile the detection accuracy is improved.

The invention discloses a steel structure holographic imaging installation method, and relates to the technical field of steel structure installation. The method comprises the following steps: S1, constructing a three-dimensional standard model of a steel structure according to a design drawing of the steel structure; s2, a steel column is selected from the steel structure to serve as a standard column, the standard column is installed on site, and the installation precision of the standard column is controlled to meet the design requirement; s3, temporarily fixing steel columns around the standard column on site, and installing an imaging scanner on the steel columns; s4, scanning steel columns around the standard column and generating a three-dimensional actual model; s5, comparing the three-dimensional actual model with the three-dimensional standard model, and adjusting the mounting positions of the steel columns around the standard column according to a comparison result; s6, repeating the steps S4 to S5 until the mounting precision of the steel columns around the standard column meets the design requirement; and S7, the steel column installed in the step S6 serves as a new standard column, and the steps S3 to S6 are repeated. The installation precision of the steel structure is improved, and the installation efficiency is improved.

The invention relates to the technical field of holographic imaging, and discloses a single-frame phase shift off-axis digital holographic phase determination method and device, and the method comprises the steps: carrying out the preprocessing of an original off-axis hologram, and generating an off-axis hologram; processing the off-axis hologram to obtain a first off-axis hologram and a second off-axis hologram with different phase shift amounts; respectively carrying out image processing on the off-axis hologram, the first off-axis hologram and the second off-axis hologram to obtain an original complex amplitude result, a first complex amplitude result and a second complex amplitude result containing real image information; according to the original complex amplitude result, the first complex amplitude result and the second complex amplitude result, simulating to generate a reference light diagram only containing carrier information; and multiplying the reference light pattern only containing carrier information by the original off-axis hologram, and filtering high-frequency carrier information through a filtering algorithm to obtain phase information of the to-be-detected sample. Through a digital phase shift technology and a filtering technology, high-quality reconstruction of an off-axis digital holographic technology can be realized only through a single-frame off-axis hologram.

The invention discloses an artistic design system and method based on a VR technology, and belongs to the technical field of creativity interaction, and the system comprises a data collection module which is used for obtaining the omnibearing information data of a creativity product; the holographic imaging module is used for obtaining a three-dimensional image of the cultural and creative product according to the omnibearing information data and projecting the three-dimensional image on a holographic display screen; the live-action collaboration module is used for fusing the three-dimensional image of the cultural and creative product with a space map and providing independent or collaborative interaction experience; the user interaction module is used for automatically adjusting a control instruction according to the specific gesture action of each user so as to dynamically adjust the three-dimensional image of the cultural and creative product on the holographic display screen; the content management module is used for managing and updating all-around information data of the cultural and creative products; and the security verification module is used for allowing the authorized user to access and interact with the three-dimensional image of the creative product. The problem that in the prior art, Chinese creative product display lacks interactivity and personalized experience is solved.