182 results about "Dynamic modulation" patented technology

The invention provides a geometric parameter measurement method based on underwater structure crack pixel-level semantic segmentation, and the method comprises the steps: constructing a multi-level feature extraction network based on ResNet-34, providing a structured feature pyramid for the subsequent context modeling and interference suppression, modeling illumination distribution features through a multi-head self-attention mechanism, and carrying out the modeling of the illumination distribution features through a multi-head self-attention mechanism. Regional scattering noise is extracted in combination with a cavity convolution pyramid, an environment context tensor is generated through fusion, a learnable gating mechanism is introduced for a decoding stage, dynamic modulation of jump connection characteristics and interference area response suppression are achieved, in addition, an edge perception auxiliary loss function is adopted, topological continuity of crack edges is enhanced, and finally, the method is applied to the field of jump connection. High-precision pixel-level segmentation of the underwater crack area can be realized without prior illumination correction, and the detection robustness and segmentation integrity in a complex environment are improved.

The invention relates to the technical field of data processing and mode recognition, in particular to a bearing fault diagnosis method based on multi-scale feature fusion, which comprises the following steps: fusing multi-source data such as vibration, acoustic emission and rotating speed, performing angle domain resampling by using rotating speed data, generating a two-dimensional order spectrogram, and stacking to construct a three-dimensional working condition information tensor; a master-slave modulation heterogeneous neural network is adopted, high-dimensional spatial-temporal features are extracted through a main branch three-dimensional convolutional network, time sequence details are extracted from an original sequence through an auxiliary branch one-dimensional convolutional network, affine transformation parameters are generated, and dynamic modulation is achieved on the high-dimensional features; and the output state vector is mapped to a fault evolution knowledge graph, probability prediction is carried out through a graph attention network and by introducing a Monte Carlo discarding mechanism, a probability mean value is calculated as a fault classification result, and the diagnosis confidence is quantified by a probability variance. According to the invention, through multi-scale feature fusion and dynamic modulation, the problem of insufficient feature discrimination caused by scale mismatch under variable working conditions is solved.

The invention relates to the technical field of beacon light control, in particular to a beacon light anti-interference control method and system based on environmental perception and dynamic modulation. The method comprises the following steps: extracting an ambient light reference based on adaptive weight sliding filtering; in combination with target detection and trajectory prediction, interference pre-judgment features are obtained; on the basis of an evidence theory, analyzing comprehensive interference evaluation characteristics through the ambient light reference, the interference pre-judgment characteristics and the electromagnetic interference characteristics; fusing meteorological environment perception and influence features and self health state features, and evaluating equipment operation risks; and based on modulation signal optimization characteristics, the comprehensive interference evaluation characteristics and the equipment operation risk, fuzzy control and rule reasoning are utilized to realize dynamic output of anti-interference control parameters. In order to solve the problem that the signal recognition rate is reduced due to the fact that a beacon light is easily affected by multiple factors in a complex ocean navigation channel environment, data are obtained through multi-dimensional environment perception, and dynamic modulation control is achieved after feature extraction and fusion.

The invention discloses an ultra-high-speed imaging device based on acousto-optic filtering modulation. The ultra-high-speed imaging device comprises a spectrum modulation system, a spectrum imaging system and a data processing system. The spectrum modulation system utilizes an acousto-optic tunable filter (AOTF) to dynamically modulate broadband continuous spectrum light, narrow-band illumination light which rapidly changes along with time is generated, and time information of a dynamic scene is effectively mapped to a spectrum dimension. And the spectral imaging system images the spectral coded dynamic scene to the hyperspectral camera to realize acquisition of spectral space-time information. The data processing system performs spectral crosstalk correction, channel separation and demosaicing reconstruction on the acquired original mosaic image, and recovers a time sequence image according to a spectrum-time mapping relation, thereby realizing single-shot superspeed imaging in a dynamic process. The device has the advantages of being simple and compact in structure, flexible in time window, high in imaging fidelity and the like, and has wide application prospects in the fields of rapid dynamics such as microfluidics, laser processing and ultrafast physics.

The invention discloses a dynamic digital twinning three-dimensional Gaussian splash rendering system and a dynamic digital twinning three-dimensional Gaussian splash rendering method. According to the system, a static scene is reconstructed by utilizing a three-dimensional Gaussian splashing technology through a semantic scene reconstruction module, semantic information is associated to Gaussian primitives in combination with spatial alignment and semantic injection, and a model with a semantic identifier is generated; multi-source dynamic data are fused and converted into a dynamic data field which can be accessed by a GPU through a multi-mode spatio-temporal data processing module; and through a rendering attribute dynamic modulation module, screening a target primitive according to the semantic identifier, and directly modulating internal rendering attributes such as color, transparency or shape of the target primitive based on a data field query value, thereby realizing internal rendering and visualization of dynamic data. According to the method, the problems that in the prior art, rendering reality and real-time performance are difficult to give consideration to and data and scene fusion is superficial are solved, and dynamic digital twinning rendering with high reality and strong immersion is realized.

The invention provides a video content enhancement method for a low-illumination environment, and the method comprises the steps: achieving the data preprocessing based on an original low-illumination video frame sequence through frame synchronization, color space conversion and local brightness analysis, generating a noise sensitivity thermodynamic diagram through multi-feature unsupervised learning, and constructing a noise perception gating mechanism through the combination of affine transformation. Dynamic modulation of the characteristic channel is realized; in the multi-scale network structure, a channel attention module is used for carrying out layer-by-layer self-adaptive adjustment on a noise sensitive area; a basic illumination image and an edge enhancement image are generated through double-branch decoding, and then weighted fusion is carried out in combination with a noise thermodynamic diagram, so that brightness balance and detail enhancement are realized; a noise smoothing regular term is introduced during end-to-end training, so that the network achieves dynamic balance between an enhancement effect and noise control.

The invention discloses a geometric error identification and compensation system and method for a numerical control machine tool, and belongs to the technical field of numerical control machine tools, and the method comprises the steps: collecting the position, temperature and cutting force data of the machine tool in real time, and calculating the components of a position error, a thermally induced equivalent error and a force induced equivalent error to construct a multi-dimensional state vector; according to the method, a compensation value is calculated through a dynamic compensation model, the core of the method is that a dynamic modulation factor is introduced, the factor integrates the heat effect, the force effect and the multi-axis coupling effect to dynamically adjust the compensation weight, in addition, a grading trigger compensation strategy based on comprehensive error amplitude evaluation is designed, and the compensation accuracy is improved. The reconstruction compensation can update model parameters on line to cope with long-term changes of the system, intelligent distribution of compensation resources and self-adaptive adjustment of system changes are achieved, time-varying errors are effectively restrained, and precision, efficiency and robustness are taken into consideration.

The invention discloses a dynamic encryption transmission method and system for sound-light alarm signals, and relates to the field of data encryption, and the method comprises the steps: obtaining a dynamic environment entropy value; generating a pseudo-random chaotic sequence; obtaining a helium-oxygen mixed gas density parameter in the dynamic environment entropy value; segmenting a preset standard alarm waveform into a plurality of signal waveforms in a time domain, and generating a distorted signal waveform according to the helium-oxygen mixed gas density parameter; performing encryption modulation on the distorted signal waveform to generate an encrypted distorted signal waveform; determining a sending sequence and a sending interval of the encrypted distortion signal waveform by combining a pseudo-random chaos sequence based on an impedance fluctuation value and background acoustic spectrum characteristics in the dynamic environment entropy; generating a dynamic modulation signal based on the transmission sequence and the transmission interval; the dynamic modulation signal is sent to a water surface console through an umbilical cable; and receiving the guide pulse, performing phase conjugation processing on the guide pulse, generating an echo verification signal, and transmitting the echo verification signal back to the water surface console.

The invention discloses a six-dimensional force sensor dynamic decoupling and coupling processing method, and relates to the technical field of mechanical measurement sensing detection, and the method comprises the steps: building a dynamic decoupling relation of six-dimensional mechanical component and elastomer strain response coupling mapping based on an original voltage signal and a static calibration parameter of a six-dimensional force sensor; dynamically modulating the mechanical compensation factor of the dynamic decoupling relation through the environmental influence factor; according to the modulated mechanical compensation factor, performing real-time suppression and compensation on coupling deviation caused by environmental disturbance, and outputting a six-dimensional mechanical component subjected to environmental compensation; performing high-precision decoupling processing on the six-dimensional mechanical component subjected to environment compensation to generate a corrected six-dimensional mechanical component; performing closed-loop online updating on the mechanical compensation factor of the dynamic decoupling relation by using the corrected six-dimensional mechanical component; according to the invention, the coupling deviation caused by environmental disturbance is suppressed and compensated in real time, and the defects of the six-dimensional force sensor in the aspects of decoupling precision and measurement stability are improved.

The invention discloses a container damage detection method based on improved UPAD-YOLO, and relates to the technical field of container damage detection, and the method comprises the following steps: image collection: obtaining an image data set containing three types of defects of recess, broken hole and structure damage; preprocessing data, dividing a data set and labeling defect information; constructing a model, and embedding a dynamic modulation convolution module into the backbone network; feature enhancement: introducing a parallelization block perception attention module; feature fusion: integrating a self-adaptive spatial feature fusion module on a detection head; according to the method, multi-scale defect features can be effectively extracted, the detection precision and the anti-interference capability are improved, the problems that the multi-scale defect detection precision is limited and the detection effect is poor under a complex background are solved, and the method is suitable for container damage real-time detection in a large-scale logistics scene.

The invention discloses a vision-language-action robot control method and system based on task stage semantic enhancement, and the method comprises the steps: firstly constructing a task stage semantic system, and disassembling a task into stages with definite semantics; constructing a task stage observation module based on a pre-trained vision-language model, deducing a task state and abnormality in real time, and generating stage semantic features; modulation parameters are generated through a lightweight network, and dynamic modulation is carried out on the vision-language features to strengthen the vision feedback weight; and finally, fusing the modulated characteristics and the body state characteristics, and outputting a control instruction through an action generation network to form closed-loop control. According to the method, the multi-modal information weight can be dynamically balanced, task abnormity can be identified in real time, error correction is triggered, the false completion phenomenon is remarkably reduced, the task execution reliability, robustness and generalization ability of the robot in a complex dynamic environment are improved, and the method is suitable for various robot systems needing high-credibility operation.

The invention discloses a newborn health monitoring system based on multi-modal data fusion, and belongs to the technical field of medical monitoring. According to the system, aiming at the problem of misjudgment caused by complex background interference and newborn development difference, a background perception feature decoupling enhancement network is constructed, a dual-channel architecture is matched with an adversarial loss function, foreground skin and background features are forcibly separated, and weak pathological features are enhanced in combination with a color space attention mechanism. Meanwhile, a development stage self-adaptive classification network is utilized, the gestational age serves as prior information to generate development codes, and dynamic modulation and weighted evaluation are conducted on fusion features through a premature infant and full-term infant double-branch classifier. According to the invention, the influence of environmental noise is effectively eliminated, and differentiated accurate health state recognition and risk early warning are realized.

The invention discloses a high-speed camera for semiconductor graph-free dark field detection and a detection method, and relates to the technical field of semiconductor detection, and the method comprises the steps: integrating an adjustable laser light source array, a high-performance TDI camera and a pre-scanning sensor, carrying out the brightness information collection of a pre-scanning region, and generating a pre-scanning reflectivity graph; sequentially irradiating a pre-scanning area with different illumination light through an adjustable laser light source array, generating a plurality of scanning images, and extracting features to generate a multi-modal differential feature field; predicting a main defect type in the region through a multi-mode illumination and defect feature collaborative enhancement algorithm to generate a corresponding illumination mode instruction; calculating an optimal TDI parameter through a TDI parameter dynamic modulation algorithm to generate a TDI camera control instruction; and scanning the wafer according to the two instructions, collecting original image data, inputting the original image data into the depth defect classification model, and outputting a defect information graph and corresponding information. The invention aims to solve the problem that semiconductor detection precision and efficiency are difficult to balance.

The invention discloses a system and method for generating, regulating and controlling a partially coherent space-time light field. The system comprises a pulse shaping assembly composed of a plurality of optical elements and an incident light source used for providing a completely coherent ultrafast pulse light field. An optical element in the pulse shaping assembly comprises a first blazed grating, a first cylindrical lens, a two-dimensional dynamic holographic modulator, a second cylindrical lens and a second blazed grating which are sequentially arranged in the light field propagation direction. The focal lengths of the first cylindrical lens and the second cylindrical lens are the same, and the distance between the adjacent optical elements is equal to the focal lengths of the first cylindrical lens and the second cylindrical lens; the two-dimensional dynamic holographic modulator is used for loading a specific complex amplitude modulation function to reconstruct the spatial-spectral characteristics of the light field. According to the invention, the two-dimensional space-spectrum function of the pulse is dynamically modulated, the generation of the partially coherent space-time wave packet is realized, and the amplitude and structure distribution of the space-time coherence can be designed and regulated as required.

The invention discloses a high-fidelity visual character image generation method, system and device and a storage medium, which are corresponding schemes, in the scheme, spatial domain and spectral domain feature mutual learning is realized based on a double-domain font coding mechanism, and the problem of character structure disorder is solved; based on a frequency domain perception refining mechanism, a frequency domain signal is dynamically modulated to improve stroke detail precision, collaborative optimization of character details and background quality is realized through an instance-level scaling coefficient, and the bottlenecks of character distortion and background instability in the prior art are broken through. Besides, the method supports multi-language accurate generation, can be widely applied to commercial scenes such as advertisement design, product packaging, film and television posters, teaching materials and the like, and can greatly improve creation efficiency and reduce manual correction cost; and meanwhile, the feasibility of cooperatively improving the multi-modal generation efficiency by the cross-domain features is verified, a high-quality weak supervision training sample in a scarce scene can be provided for a character recognition model, the blank of related data is effectively filled up, and the method has technical advancement and market landing value.

The invention discloses a millimeter wave radar gesture recognition method and system based on gating collaborative fusion, and belongs to the technical field of artificial intelligence and man-machine interaction. The method comprises the following steps: firstly, acquiring and preprocessing original data through a millimeter wave radar sensor; secondly, extracting a global spatial feature map (such as a two-dimensional point cloud map) capable of representing the overall motion track of the gesture and a plurality of local dynamic feature maps (such as a distance-time map, a Doppler-time map and the like) capable of representing dynamic information of the gesture in parallel; and then, the extracted multi-modal features are processed through the gated collaborative fusion network designed by the invention. The core of the method is that the global spatial feature map is processed through a first neural network and a global average pooling layer to generate a static global feature vector; dynamically modulating a local feature sequence processed by a second neural network through a gating unit by using the static global feature vector; and finally, fusing all modulated sequences, inputting the fused sequences into a time sequence processing module for analysis, and outputting a final gesture category. According to the method, through an innovative gating fusion mechanism, dynamic cooperation of multi-modal features is realized, the problem that a traditional fusion method cannot adapt to different gesture feature changes is effectively solved, and the accuracy and robustness of gesture recognition are remarkably improved.

The invention relates to a zero sample target counting device, and provides a technical scheme of fusing a fine-grained cross-modal enhancement module (FCE) and a multi-scale semantic adaptive module (MSA) in order to solve the problems of large counting error and poor generalization caused by insufficient cross-modal alignment precision and weak multi-scale modeling capability in a dense scene. A text-guided cross attention and self-adaptive gating mechanism is introduced through an FCE module, so that fine-grained semantic alignment of images and texts is realized, and the discrimination of visual features and the semantic perception capability are enhanced; multi-level visual features are fused through an MSA module, dynamic modulation is carried out in combination with text semantics, self-adaptive modeling of small targets and multi-scale targets is achieved, and high-precision target instance detection and number estimation are completed in the cross-modal decoding stage. The method is obviously superior to an existing model on multiple data sets without fine tuning, and the counting precision, robustness and open world generalization ability in a complex scene are improved.

The invention relates to the technical field of network transmission, in particular to a parallel coding and decoding method based on a multi-channel network TCP-UDP (Transmission Control Protocol-User Datagram Protocol). According to the invention, by constructing a multi-path parallel transmission mechanism of a transmission control protocol and a user datagram protocol, the transmission performance of each path can be dynamically evaluated and quantified according to the round-trip time and packet loss rate of the path at the beginning of session establishment, and the initial data distribution proportion is scientifically calculated, so that the initial optimization utilization of network bandwidth resources is realized; in the data transmission process, the actual sending rhythm and the bandwidth utilization condition of each link are continuously monitored, and the evolution trend of the bandwidth load is accurately identified through a time sequence prediction model, so that the path weight is dynamically modulated, the distribution proportion of the data packet is corrected in real time, and the data stream can be continuously and uniformly transmitted on the optimal path. The problems of transmission bottleneck and delay caused by performance fluctuation of a single path are effectively solved, and the reliability, stability and efficiency of data transmission are greatly improved.

The invention discloses a low-power-consumption Beidou high-precision positioning receiving device and system, and belongs to the technical field of slope safety monitoring and early warning. The method comprises the following steps: S1, marking a tampered picture by using graffiti marking, and constructing an image tampering positioning data set; s2, inputting the image in the data set into a tampering discriminator, and generating real area priori and tampered area priori related to the image; s3, performing data enhancement processing on the images in the data set, inputting the enhanced images into an image encoder, and extracting tampering features of the images; s4, inputting the prior features obtained in the S2 and the tampering features obtained in the S3 into a feature modulation module, and dynamically modulating the tampering features by using the prior features; s5, inputting the modulated features into a gating adaptive module to enrich context information, and generating an accurate mask; and S6, comparing the generated mask with the graffiti label, calculating a loss function, and training the model according to the loss function.

The invention relates to the field of digital circuit design, and provides a method for optimizing noise influence of a synchronous switch in an IBIS model. When a traditional IBIS model measures pull-up / pull-down characteristics, it is assumed that a power supply and ground potential are constant, voltage fluctuation actually caused by a synchronous switch is ignored, and the simulation precision of a high-speed interface is reduced. By collecting current response data of a pull-up circuit and a pull-down circuit of the buffer under different power supply / ground fluctuations, pull-up and pull-down power supply modulation coefficients are calculated respectively, and the influence of power supply voltage disturbance on output current is represented. In the simulation stage, the output current in the IBIS model is dynamically modulated according to the power supply and ground potential change caused by the real-time SSN, so that the simulation is closer to the real chip behavior. The method does not need to modify a model structure, is compatible with an existing process, remarkably improves the accuracy of high-speed signal integrity analysis, is suitable for design verification of DDR, PCIe and other high-density parallel interfaces, and effectively supports the system-level power supply and signal co-simulation requirements.

The invention discloses a vibration suppression rotary table swing arm for aspheric surface numerical control polishing and a sliding mode control method of the vibration suppression rotary table swing arm, relates to the field of aspheric surface numerical control polishing, and solves the problem that the vibration suppression efficiency is not high when an existing aspheric surface polishing rotary table swing arm rotates. The component is in a periodic bending form based on a chirp function in the length direction of the armed lever, rigidity and mass distribution are in gradient change, and a self-adaptive broadband vibration suppression band gap is formed. A tail end vibration signal is collected in real time through a sliding mode control method, a sliding mode surface function containing a dynamic modulation item is constructed, a control law is designed to drive a swing arm track to converge, and meanwhile vibration energy is induced to migrate to the optimal vibration suppression frequency band of a vibration suppression component. Through the synergistic effect of heterogeneous structure design and active control, the vibration suppression efficiency and trajectory tracking precision of the swing arm of the rotary table are improved, and the method is suitable for high-precision scenes such as aspherical numerical control polishing.

The invention discloses an independent chiral liquid crystal optical device based on dynamic frequency regulation and control and a preparation method of the independent chiral liquid crystal optical device. The independent chiral liquid crystal optical device comprises a conductive substrate, an alignment layer, a cholesteric liquid crystal layer with a stable polymer and an electrode, the precursor mixture is prepared from a nematic phase liquid crystal matrix, a chiral dopant, a polymerizable liquid crystal monomer and a photoinitiator; and the screw pitch of the cholesteric liquid crystal layer is dynamically regulated and controlled through the frequency of an alternating current electric field, so that the dynamic regulation of the selective reflection center wavelength is realized. The cholesteric liquid crystal is packaged between the two conductive substrates, the spiral structure and the photonic band gap characteristics of the cholesteric liquid crystal are accurately regulated and controlled through alternating current electric field frequency parameters, real-time dynamic modulation of the output light wavelength and the circular polarization state is achieved, the limitation of concentration curing of a traditional chiral agent is broken through, and the chiral liquid crystal is obtained. The dynamic reconfigurable control of output characteristics of circularly polarized light is realized, and the dynamic reconfigurable circularly polarized light engine is used as a universal circularly polarized light engine, has a plug-and-play characteristic, and can be directly integrated with various light emitting units.

The invention belongs to the technical field of equipment control, and relates to a wormwood essential oil extraction equipment control method and system. According to the method, the distillation state is comprehensively sensed by collecting the temperatures of multiple positions in a kettle, the heating steam pressure, the liquid phase temperature of an outlet of a condenser and an acoustic emission signal in the distillation process in real time; then inputting the signal into a two-channel gating circulation network model which is dynamically modulated by track entropy and can be fused with a physical model to carry out Bayesian correction under a stable working condition, so as to accurately measure and obtain a soft measurement value of the oil yield of the wormwood essential oil; then, based on the oil yield deviation, a multi-objective optimization function containing the square of the deviation, the control quantity change rate, the thermal shock gradient and the boiling instability risk at the same time is solved, and a control sequence is obtained; and finally, decoupling the control sequence, and determining and executing an accurate distribution strategy for the pressure and flow of the heating steam. On the premise of ensuring stability and safety, the extraction efficiency of the wormwood essential oil is maximized.

This invention discloses a river flow monitoring system and method based on ultra-high frequency side-scan radar. The data acquisition module is deployed on the riverbank to acquire multi-channel raw echo data required for river hydrological parameter inversion. The river flow monitoring cloud platform processes, analyzes, displays, and stores the data acquired by the data acquisition module, and sends corresponding instructions to the data acquisition module. This solution uses a database to correlate and store hydrological data, meteorological data, cross-sectional geometric data, and comparative measurement data in a time series manner, providing a solid data foundation for in-depth data mining, model optimization, and trend prediction. Furthermore, the data analysis considers the impact of complex tidal dynamic modulation in tidal river sections on river flow calculation. A tidal phase correction term is introduced into the index velocity method model, effectively eliminating the systematic bias caused by tidal dynamic modulation in the calculation.

The application discloses a synchronization method for servo communication and motor control of an EtherCAT bus, which comprises the following steps: a mapping relationship between a control period of an auxiliary timer and a PWM signal generator is established, and a physical synchronization signal Sync0 of the EtherCAT bus is mapped as an external trigger source of an input capture unit; when a valid jump edge of the physical synchronization signal Sync0 is detected, the current instantaneous count value of the auxiliary timer is locked into a capture register by the input capture unit without intervention of a software interrupt, so as to form a reference time stamp; the reference time stamp is read in an interrupt service of a servo control period, a phase offset is calculated based on a target phase relationship between the reference time stamp and the physical synchronization signal Sync0, and the reloading value of the PWM signal generator in the next control period is dynamically modulated according to the phase offset.

This invention proposes a collaborative reconstruction method for multimodal images from unmanned aerial vehicles (UAVs) for all-weather perception. First, it uses an Adaptive Degradation Perceptual Block (ADPB) to perform spectral analysis on degraded visible light features to perceive the degradation type, and utilizes a learnable frequency mask to decouple features, providing a clear, high-fidelity structural prior for subsequent modal interactions. Next, it leverages the multi-scale decomposition capability of wavelet transform to decouple multi-frequency sub-band signals, and learns local contraction mappings within each sub-band through deep convolution, effectively preserving structural integrity while suppressing blur and noise. Finally, addressing the challenge of simultaneous degradation and cross-modal information fusion in multimodal images, it generates dynamic modulation factors in spatial and channel dimensions to guide adaptive complementary interaction and deep fusion of cross-modal features, strengthening the representation capabilities of global and local features. This significantly improves the reconstruction quality and multi-task generalization ability of the unified multi-task recovery model in complex scenarios.

The invention provides a pure solid-state scanning type absolute ranging system and a target detection method thereof. The pure solid-state scanning type absolute ranging system comprises a light source, an optical fiber amplifier, a spatial light polarization controller, a pure solid-state light beam scanning and interference module, a spectrum acquisition module and a control and calculation module, the pure solid-state light beam scanning and interference module is based on the wavefront regulation and control principle, dynamic modulation of incident light wavefront is achieved by loading a two-dimensional programmable grating phase on a spatial light modulator, and therefore light beams are controlled to complete pure solid-state scanning in space according to a set path. When a scanning light beam irradiates a target pyramid, a strong return light signal is generated, the spectrum acquisition module captures two-dimensional spectrum resolution and two-dimensional spectrum image imaging of an interference signal, and the control and calculation module performs high-precision distance calculation of a target absolute distance through phase extraction and interference fringe analysis based on a dispersion interference principle.

The invention relates to the technical field of ophthalmology medical equipment, and discloses an optical path difference regulation and control system, which comprises a light source module, an optical path regulation and control module, an optical projection module, a neural adaptation detection module and a central control module, by arranging the optical path regulation and control module and the nerve adaptation detection module, optical path difference dynamic modulation can be applied to ophthalmological treatment, the problem is solved from a nerve adaptation triggering source by changing the phase distribution mode of retina light stimulation, indirect relieving is not conducted only through intensity or frequency adjustment, and the application range is wide. Meanwhile, modulation parameters are adjusted based on the detection result of the neural adaptation detection module, so that modulation is effective and no extra discomfort is caused, feedback control closed loop is completed through the central control module, a detection-feedback-adjustment closed loop system is achieved, the modulation parameters can be dynamically optimized and adjusted according to the individual neural adaptation degree, and the modulation efficiency is improved. Therefore, the treatment individuation level can be effectively improved.

The invention provides a gastrointestinal three-dimensional dynamic imaging analysis method based on conductivity distribution modeling, and the method comprises the steps: applying at least three composite electric signals with different frequencies to a gastrointestinal region, collecting voltage response signals, and constructing a dynamic conductivity parameter matrix based on frequency domain feature separation. And then, spatial discretization processing is carried out by using a nonlinear interpolation algorithm, a three-dimensional conductivity distribution map is generated, dynamic modulation and demodulation processing is carried out on the map, and a frequency band weight coefficient is adjusted. And mapping the modulated data to a dynamic imaging coordinate system through an inverse projection algorithm to generate a three-dimensional dynamic imaging result. According to the space coordinates and the change rate of the conductivity gradient mutation area, the position and the activity state of the gastrointestinal abnormal area are judged, and a self-adaptive feedback mechanism is adopted to update boundary condition parameters of the initial conductivity distribution model. The accuracy and efficiency of gastrointestinal disease diagnosis can be improved.

The invention discloses an integrated sensing and backscatter communication method and device based on phase-free extension Rytov approximation, and relates to the technical field of communication, and the method comprises the steps: generating a modulation signal through a transmitting antenna based on the load impedance of a dynamic modulation tag, and backscattering the modulation signal to a receiving antenna to measure an RSSI vector, determining an environment object tag structure power vector and a tag antenna power vector, and after sensing and identifying a tag according to the determined combined xRA relative dielectric constant comparison vector and the tag antenna xRA relative dielectric constant comparison vector, activating the tag through a transmitting antenna and transmitting communication data to a receiving antenna by adopting ASK (Amplitude Shift Keying) modulation; and demodulating by combining the environment object tag structure power vector, the tag antenna power vector and the RSSI vector corresponding to the communication data, and determining information bits. Sensing and backscatter communication are realized by adopting non-phase backscatter based on extended Rytov approximation, and backscatter communication which keeps stable is assisted on the whole.