219results about How to "Break the limitations" patented technology

The invention belongs to the technical field of ocean engineering, and discloses a column structure response forecasting method and system based on a residual connection neural network. According to the method, a physical information neural network (PINN) and a Kolmogorov-Arnold (KAN) theorem are combined, and the precision and the calculation efficiency of a prediction model are remarkably improved through a multi-layer nonlinear mapping framework and residual connection optimization. According to the method, physical equation constraint loss and environmental parameter input are introduced, so that the model can more accurately simulate dynamic response characteristics in an extreme marine environment, and the limitation of a traditional method in nonlinear factor processing and real-time calculation is effectively solved. Experiments show that the method has remarkable advantages in the aspects of accuracy, generalization ability and calculation efficiency, provides reliable and efficient technical support for ocean platform structure design and operation state monitoring, and has important theoretical value and wide application prospects.

The invention discloses a mechanical arm obstacle avoidance method based on an EIT tactile sensor, and belongs to the technical field of robot tactile perception. Firstly, tactile information is obtained through an EIT tactile sensor, and a tactile sensing image is reconstructed; then, the visual module starts to detect the target object and the box, if the visual module does not recognize the target object, the target object is fed back to the control module, and the tail end of the mechanical arm is controlled to move to the next area until the whole workbench is traversed; if the target object and the box are detected, obtaining a target position and a placement position through coordinate transformation; after the tail end of the mechanical arm moves to a target position, a target object is clamped through a clamping jaw, and then the mechanical arm moves to a placement position; in the moving process of the mechanical arm, an obstacle touches the mechanical arm, the EIT tactile sensor detects the change of the conductivity of a sensing area, and the position of a change center point is converted to the position below a mechanical arm base system and transmitted to the control module to re-plan a route; and finally, the mechanical arm touches the obstacle for multiple times during movement, and the control module enables the mechanical arm to bypass the obstacle and reach the target object placement position through multiple route plans. According to the method, the obstacle model can be actively sensed and established, and a safer and more reliable obstacle avoidance route can be planned.

The invention provides a subsurface soil humidity inversion method and system based on a P-band radiometer, and the method comprises the steps: collecting observation data, carrying out the preprocessing of the observation data, and constructing initial parameters for a pre-configured dielectric hybrid model; calculating the relative dielectric constant of the soil and the soil emissivity of each incident angle; calling a pre-configured Chodhure module, and calculating to obtain the effective temperature of the soil; calculating by using a radiation transfer zero-order approximation model to obtain a simulated brightness temperature; the brightness temperature difference value between the original brightness temperature data and the simulated brightness temperature is calculated, a cost function is constructed, optimization parameters are obtained, and the weight of each angle in the cost function is dynamically adjusted and updated; and iteratively executing soil humidity inversion calculation to obtain an inverted soil humidity result. According to the method, the sensitivity to vegetation and surface roughness is reduced, and the soil humidity inversion precision is improved; and through dynamic weight adjustment and iterative optimization, the adaptability and flexibility of the model are ensured.

The invention belongs to the technical field of material production detection, and particularly discloses a contact lens production defect detection method based on artificial intelligence, which comprises the following steps: collecting environmental information in a defect detection area; judging whether the detected environment is matched or not, if yes, executing the next step, and otherwise, regulating and controlling the environment; acquiring a plurality of images at different light source angles and different light source intensities; judging whether the image preprocessing mode needs to be changed or not, if so, confirming the changed preprocessing scheme, and otherwise, preprocessing the image; building a defect detection model, and training; defect feature detection is carried out; and performing functional defect detection and analysis on the contact lenses to be detected, and outputting a production defect report. According to the method, the problem of insufficient attention in the current image processing process is effectively solved, the sufficiency, representativeness and detection efficiency of contact lens production defect detection are improved, and meanwhile, the effectiveness of a subsequent detection result is guaranteed.

The invention relates to the technical field of music recommendation, and discloses a multi-source data intelligent music recommendation method and system, a storage medium and equipment, and the method comprises the steps: collecting multi-source music data, and carrying out the fusion processing of the collected multi-source music data; the method comprises the following steps: identifying and extracting music related entities in data and relationships among the entities, constructing a music ontology and reasoning music knowledge to construct a music knowledge graph; a user portrait is comprehensively constructed by extracting explicit features of a user, constructing a user implicit behavior model, mining a time sequence mode and integrating cross-platform data; user emotion and situation changes are captured in time through context sensing, and a recommendation strategy is adjusted in real time; and carrying out personalized recommendation by combining collaborative filtering, extracted vocal music features and semantic features and a music knowledge graph. Through the method, a multi-source data intelligent music recommendation system is realized, and a highly personalized and context-aware music recommendation service is provided for the user.

The invention belongs to the technical field of seam welding detection, and particularly discloses and provides a roof waterproof roll seam welding detection method which comprises the following steps: constructing a three-dimensional model of a to-be-constructed welding area, and marking the type of a welding detection point; welding characteristic analysis is conducted on the welding area, and all welding characteristic indexes are obtained; the number of welding detection points is determined, and the welding detection points are marked; confirming a standard passing threshold value of each welding detection point corresponding to each welding detection index; building a welding quality inspection model; sequentially carrying out quality inspection according to a set welding quality inspection plan, and recording quality inspection values; and the welding quality score value is output, and a welding quality inspection report of the waterproof coiled material is constructed and fed back. According to the method, the defect that current welding detection points are arranged comprehensively is effectively overcome, the specific welding characteristics of the waterproof coiled material are fully combined, the adaptability of a seam welding detection scene of the roof waterproof coiled material is improved, and meanwhile the representativeness and rationality of a welding detection result are guaranteed.

The present invention relates to a plasma thruster plume parameter multi-point measurement device and a measurement method, the multi-point measurement device comprises: a vacuum chamber; a vacuum pump unit connected to the vacuum chamber; an industrial control unit connected to the vacuum pump unit, used to provide and maintain the vacuum environment of the vacuum chamber; and a measurement unit; the measurement unit comprises: at least two three-dimensional mobile platforms arranged in the vacuum chamber; a detection structure arranged on the three-dimensional mobile platform; a collection unit connected to the detection structure and used to collect data; the detection structure adopts a Langmuir probe, an RPA probe or a Faraday probe. The present invention can improve the plasma measurement efficiency, can continuously measure the multi-point symmetry of the plume, break the limitation of the use of the Langmuir probe, and shield the error interference in the probe circuit. At the same time, the multi-point measurement device of the present invention has a simple structure, is stable and reliable, and has strong practicality.

The invention relates to the technical field of cement production and manufacturing, aims at solving the problems that an existing grinding system is single in function and cannot have multiple cement grinding processes at the same time, and provides a composite multi-process cement grinding system and process and a cement production method. Wherein the composite multi-process cement grinding system comprises a roller press grinding system and a ball mill grinding system, and the composite multi-process cement grinding process comprises three grinding processes, namely a combined grinding process, a semi-final grinding process and a final grinding process; the cement production method comprises the following steps: separately grinding clinker and a mixed material by using two sets of cement grinding systems, and then mixing by using a mixing system to obtain a finished product. According to the invention, the limitation of a single grinding system is broken through, the operability of the system is improved through an ingenious switching means, and the advantages and functions of production through one system and coexistence of multiple technological processes are realized.

The invention discloses a server board card, a performance adjusting method of the server board card and a chip, and belongs to the field of servers. The server board card comprises a management processor and a computing chip, and the management processor is used for managing elements in the server board card; the management processor is used for acquiring historical operation parameters of the elements, and the historical operation parameters comprise parameters used for reflecting the operation performance of the elements; the calculation chip is used for predicting a current operation parameter of the element according to the historical operation parameter of the element, and the current operation parameter is used for representing an operation parameter corresponding to a current moment in an operation parameter change trend corresponding to the historical operation parameter; and the management processor is also used for adjusting the performance of the element according to the current operation parameter of the element. According to the method and the device, the limitation of adjusting the performance of the board card based on the preset performance level is broken, the performance adjustment with finer granularity is realized, the power supply use and performance of the server board card are balanced, and the response capability of the server board card for different performance requirements is enhanced.

The invention discloses an SRv6 message transmission control method and device, equipment and a storage medium, and belongs to the technical field of communication, the method comprises the steps that a Flowspec route is acquired, and the Flowspec route comprises a first flow matching condition for SRv6 flow configuration and a flow control action corresponding to the first flow matching condition; based on the first flow matching condition, matching a currently received message to obtain a target SRv6 message; and determining a transmission mode of the target SRv6 message based on the flow control action. As the first flow matching condition in the Flowspec route and the flow control action corresponding to the first flow matching condition are both configured for the SRv6 flow, the identification and processing of the SRv6 message can be realized. And the limitation of the Flowspec technology on the identification and control of the SRv6 flow is broken.

The invention is applicable to the technical field of spinning, and provides an implantable multichannel multilayer staple fiber covering yarn, the covering yarn is of an n-layer coated composite yarn structure, n is greater than or equal to 3, the inner layer of the composite yarn structure is a supporting staple fiber material, the middle layer of the composite yarn structure is a functional fiber raw material, and the outer layer of the composite yarn structure is a skin-friendly functional fiber raw material. The invention further provides a spinning method of the implantable multi-channel multi-layer staple fiber covering yarn. The multi-channel feeding function of different spinning procedures is fully exerted, stable composite yarn structures such as a multilayer sandwich structure and a four-layer sandwich structure are formed, the limitation of a single-layer or double-layer structure of the existing short fiber core-spun yarn is broken through, the yarn structure can realize the coating effect of multiple layers of short fibers inside and outside, and the yarn structure has the advantages of being simple in structure and convenient to use. The structure that various fibers in traditional yarn are mutually crossed and disordered is broken through, the mode of self-use combination and distribution of various fibers is achieved, superposition and free combination of various functions of the yarn are achieved, and extremely high commercial value and market application prospects are achieved.

The invention discloses an NFC testing method based on machine learning, and relates to the technical field of wireless communication testing, and the testing method comprises the specific steps: S100, data collection and preprocessing: carrying out the basic testing of an NFC signal under different environment conditions, collecting the multi-dimensional data of signal intensity, transmission speed and error rate, and carrying out the data collection and preprocessing; by introducing deep fusion of the electromagnetic field theory and the machine learning technology, dimensions and methods of NFC testing are greatly enriched, the electromagnetic field theory serves as an important branch of physics, an accurate mathematical model and an experimental verification method of the electromagnetic field theory provide a solid theoretical basis for propagation characteristics of NFC signals in a complex environment, and the electromagnetic field theory and the machine learning technology are combined in advance. In combination with the strong data processing and prediction capability of a machine learning algorithm, the attenuation, reflection and diffraction phenomena of NFC signals in different media can be predicted theoretically, the model can be continuously corrected and perfected through actual test data, and the accuracy and reliability of a prediction result are ensured.

The utility model relates to the technical field of battery replacement, and provides a battery replacement lifting appliance and battery replacement equipment, the battery replacement lifting appliance comprises a supporting assembly, a latch hook assembly and a driving assembly, the latch hook assembly comprises a first latch hook and a second latch hook, the first latch hook is arranged on one side of the supporting assembly and is rotatably connected with the supporting assembly; the second lock hook is arranged on the other side of the supporting assembly and rotationally connected with the supporting assembly. The driving assembly is arranged on the supporting assembly, connected with the first lock hook and used for driving the first lock hook to rotate to a first preset position; the driving assembly is connected with the second lock hook and used for driving the second lock hook to rotate to a second preset position, and the second preset position is matched with the first preset position. According to the battery replacing lifting appliance provided by the utility model, the requirement of carrying different types of battery boxes can be met, the limitation of one-to-one correspondence between the existing battery boxes and the battery replacing lifting appliance is broken through, the carrying efficiency of the battery boxes is improved, and the carrying cost is saved.

The utility model discloses a liquid detection device of a pipette. The liquid detection device comprises a pipette tip, a piston air pump, a pressure air pump, an air pressure sensor and a controller, the pipetting tip comprises an inlet end and an outlet end which are oppositely arranged, and the outlet end is used for being in contact with liquid; the piston air pump is communicated with the pipetting suction head and is used for generating air pressure for sucking liquid into the pipetting suction head or discharging the liquid out of the pipetting suction head; the pressure air pump is communicated with the pipetting suction head and is used for generating gas pressure with adjustable duration in the pipetting suction head; the air pressure sensor is connected in an air path formed by the pipetting suction head and the pressure air pump and is used for detecting the air pressure in the air path; and the controller is electrically connected with the air pressure sensor and is used for judging whether the pipetting suction head is in contact with liquid or not according to a detection signal of the air pressure sensor. The pressure air pump is additionally arranged, the pressure air pump can generate gas pressure with adjustable duration, airflow can be generated for a long time, the limitation that a piston air pump is limited by the stroke during liquid detection is broken through, and the liquid detection requirements of different heights of reagent liquid levels can be met.

The invention discloses a flood situation detection method and device based on big data hyper-fusion and a medium. The method comprises the steps of generating a corresponding ponding area list and a monitoring area list; performing spatial association on the ponding area list, the camera list and the water level gauge sensor list so as to determine the camera and the water level gauge sensor which have a spatial association relationship with the ponding area; for each ponding area, calculating the water depth of the ponding area corresponding to the ponding area according to the water depth data collected by the camera and the water level gauge sensor which have the spatial association relationship with the ponding area, and predicting the predicted ponding depth of the ponding area in the future according to the water depth of the ponding area; dividing camera monitoring grading lists of different grades according to the first camera list, the second camera list and the fourth camera list; and feeding back the gathered flood situation information and the map capturing frequency to a control center, so that the control center carries out rescue scheduling according to the flood situation information, and carries out dynamic scheduling on cameras in the ponding area and the monitoring area.

The invention provides a data processing method and device of a gyroscope, electronic equipment and a storage medium, and relates to the technical field of sensors. The gyroscope data processing method comprises the following steps: acquiring gyroscope data of each gyroscope in a gyroscope array; determining a target function and a data weight of each gyroscope data based on the gyroscope data; the target function is used for determining fusion data of the gyroscope array; and based on the target function and the data weight of each gyroscope data, determining fusion data of the gyroscope array so as to complete the target task based on the fusion data. The target function and the data weights of the gyroscopes are determined based on the data of the gyroscopes in the gyroscope array, so that the data of the gyroscopes in the gyroscope array can be fused based on the target function and the data weights, and the limitation of an existing fusion method in a real-time system is solved; while the precision of the gyroscope array is improved, the stability and robustness are provided for the system.

The invention discloses an expressway monitoring system based on a GIS. The expressway monitoring system comprises a data acquisition module and a data processing module. The data acquisition module is used for acquiring data in a low-visibility environment in the expressway; the data acquisition module comprises an image acquisition unit, a humidity sensor unit, a satellite remote sensing data receiving unit and an unmanned aerial vehicle inspection unit; the data processing module is used for processing the data collected by the data collection module, combining the data collected by the data collection module to form a feature space vector X, calculating the distance between the feature space vector X and a pre-stored standard feature vector sample set of agglomerate fog, fog and haze, distributing weights according to the feature vectors, and calculating the distance between the feature space vector X and the standard feature vector sample set of the agglomerate fog, the fog and the haze. Respectively distributing weights according to the calculated feature vectors; if the value of the Dfog is the minimum, determining that the Dfog is fog; if the numerical value of the Dhaze is the minimum, determining that the haze is the haze; the objective of the invention is to realize accurate monitoring and judgment of agglomerate fog, fog and haze on the expressway.

The invention provides an obstacle association method and device, computer equipment and a storage medium, and the method comprises the steps: obtaining measurement data from at least one sensor, and enabling the measurement data to comprise a plurality of obstacle measurements and detection information thereof; for each obstacle measurement to be associated, selecting a target reference point type from a plurality of predefined candidate reference point types according to detection information of the obstacle measurement to be associated; determining a measurement reference point from the detection information of the obstacle measurement based on a target reference point type selected for each obstacle measurement; determining a matching measure between a measurement reference point and a track reference point based on the measurement reference point measured by the obstacle and the track reference point determined for the fused track; according to the calculation result of the matching measurement between all the obstacle measurements and all the fused tracks, the association relationship between the obstacle measurements and the fused tracks is determined, and the accuracy and the reliability of obstacle association can be remarkably improved by adopting the method.

The invention provides an anti-semantic interference training method and a semantic communication method based on electroencephalogram joint learning. The method comprises the following steps: applying semantic interference to an original image to generate a disturbance image; respectively inputting the original image and the disturbance image into an image encoder to extract image features, and inputting corresponding electroencephalogram signals into an electroencephalogram encoder to extract electroencephalogram features; and based on the original image features, the disturbance image features and the electroencephalogram features, performing comparative learning through a bidirectional InfoNCE loss function, and updating parameters of an image encoder and an electroencephalogram encoder. Joint comparative learning is carried out through the electroencephalogram signals and the image data, the attention of an image encoder to key information is enhanced by utilizing the characteristics of the electroencephalogram signals, and therefore the robustness of a semantic communication system when the semantic communication system is attacked by semantic noise is improved. According to the method, the semantic interference resistance of a semantic communication system is enhanced based on the natural robust feature of the electroencephalogram signal, and the method is suitable for the complex situation that diversified and multi-type semantic interference exists.

The application provides a kind of underwater structure apparent disease identification method and system based on deep learning, wherein, method includes: according to the combination of fusion model and target recognition model, generate the pre-set underwater structure apparent disease identification model;Underwater apparent disease is identified by the pre-set underwater structure apparent disease identification model;The fusion model is built by improved CycleGAN model and multi-scale Retinex algorithm (MSR) network, for converting underwater image into clear and clear image with obvious features;The target recognition model is obtained by YOLOv5 model, for realizing the positioning and classification of underwater structure apparent disease.The present application solves the problems of inaccurate classification and low recognition accuracy of underwater structure apparent disease by the underwater structure apparent disease identification model, caused by factors such as camera imaging blur, insufficient contrast, dispersion and noise in complex water area.

The invention discloses a big data-based financial business lifting and placing service management system, and particularly relates to the field of finance, which comprises a financial data batch division module, a financial data acquisition module, a financial data analysis module, a financial data comprehensive evaluation module and a real-time tracking feedback early warning module. The financial data acquisition module comprises a client data acquisition unit and a business data acquisition unit and is used for acquiring target data in real time and transmitting the acquired data to the financial data analysis module; the financial data analysis module comprises a client data analysis unit and a business data analysis unit and is used for analyzing the data transmitted by the financial data acquisition module and transmitting an analysis result to the financial data comprehensive evaluation module; according to the method and the system, the reliability and the pertinence of a data source are greatly improved by subdividing various types of data of lifting and placing financial business service management based on big data into different acquisition batches.

The present application relates to the technical field of medical devices, and discloses a multifunctional finger rehabilitation training device, which comprises a frame formed by an anti-skid base and a stand column, a hole plate training module installed on the frame, a surface of the hole plate training module being provided with through holes and being internally provided with a pressure sensor array, a grip strength training module, a rotating training module, an electric control module, and a micro-control unit, an analog-digital conversion interface, a storage unit and a communication interface of the electric control module being electrically connected with the pressure sensor array, the displacement sensor and the photoelectric encoder, and the electric control module being used for collecting, calibrating and analyzing training data and storing or transmitting the training data.

The present invention relates to an interference spectral imaging restoration method and system based on degradation simulation, and belongs to the technical field of remote sensing image processing. In the degradation modeling calibration, the degradation elements in the interference imaging are divided into trend items and noise, and the degradation process is modeled into three stages: instrument degradation, photosensitivity degradation, and signal-independent degradation. The interference imaging degradation model and the corresponding model calibration method are used to extract the degradation characteristics and model parameters of each stage for a specific instrument, generate corresponding calibration results, and use them to generate highly realistic interference data. In the restoration process, a multi-stage restoration algorithm framework is constructed to process the trend items, transformation calculations and other elements and noise in the degradation process separately. At the same time, a multi-stage simulation data set generation method is designed, which can generate a high-fidelity simulation interference pattern data set dedicated to training the entire algorithm from the spectral data set according to the calibration results. The present invention achieves more efficient and better-effective interference imaging restoration.

This application discloses a blueberry packaging box, including a box body, a mounting tray, a base, and multiple rotatable rollers. The box body is detachably fixed above the mounting tray, and the base and rollers are detachably mounted below the mounting tray. The mounting tray includes a first lug and a second lug, with the first lug located at the front and the second lug at the rear. The first lug has a connecting post, and the second lug has a connecting hole that mates with the connecting post. Thus, on the one hand, users can push the packaging box to roll, increasing interactivity during use and adding fun to the simple packaging function; on the other hand, simply inserting the connecting post of one blueberry packaging box into the connecting hole of another completes the assembly, enabling rapid linkage of multiple identical blueberry packaging boxes, meeting the combination and interaction needs of consumers (especially children), and further expanding the fun of the packaging box.

The utility model belongs to the technical field of train bulk cargo transportation and cleaning, and particularly discloses a crawler-type train compartment moving and cleaning device. The crawler-type movable cleaning device for the train compartment comprises a crawler walking mechanism, a rack, a lifting mechanism, a cleaning mechanism and a negative pressure adsorption system. Through the crawler walking mechanism, the space problem caused by additionally arranging a track and the limitation that cleaning equipment can only serve one track line are broken through, and meanwhile the input cost is reduced. The sweeping mechanism is provided with a sweeping disc and a roller brush matched with the train compartment, the bottom and the inner wall of the train compartment are swept at the same time, and cleaning dead corners are small. The negative pressure adsorption system collects materials swept by the sweeping mechanism, and the dust raising problem is effectively solved. Through cooperation with the control unit, the automatic cleaning task is achieved, manual intervention is not needed, labor consumption is reduced, and meanwhile use safety is high.

The application relates to the technical field of plastic intelligent manufacturing, and discloses a machine vision driven plastic master batch feeding and cleaning parameter intelligent regulation and control system. The system comprises the following: an image acquisition and feature extraction module which, based on the equipment running state, identifies and extracts elements such as feeding speed and cleaning flow, maps to a preset parameter field and establishes an associated identifier, and forms a standardized feeding and cleaning data unit. A parameter matching and regulation rule generation module searches a database to match regulation rule conditions, calculates a parameter regulation complexity factor, compares parameters with constraint values, and generates a single parameter matching state judgment. A multi-working-condition correlation modeling module finds different working-condition shared entities, calculates a cross-working-condition correlation closeness index, and constructs a multi-working-condition correlation graph. An abnormal state identification and parameter correction module combines the associated working-condition judgment to calculate a risk score and generates a comprehensive regulation risk prompt. The system realizes intelligent regulation and control and abnormal identification of plastic master batch feeding and cleaning parameters.

This invention relates to a commercially compatible and flexibly deployable OFDM backscatter communication method and system, belonging to the field of wireless communication. This invention enables nodes to perform backscatter communication without deploying synchronization modules, transmitting their own information to a commercial OFDM receiver with low power consumption, thus avoiding the limitation of node deployment range imposed by the sensitivity of synchronization modules. This invention uses a single-carrier signal from the environment as the excitation signal and transmits node information to the OFDM receiver through low-power cross-system conversion from single-carrier to multi-carrier. For the incident single-carrier excitation signal, the node performs low-power replication and shifting of the signal's spectrum during reflection, converting it into an OFDM reflected signal with multi-carrier characteristics. Since the node does not need to synchronize with the excitation signal before reflection, this invention significantly increases the effective operating radius of the backscattering node and enhances node deployment flexibility. Simultaneously, because the node achieves cross-system conversion from single-carrier to multi-carrier OFDM signals, it also possesses the advantage of commercial compatibility.

The invention discloses a method for assisting upgrading and regeneration of a decommissioned nickel-rich cathode through Li6Zr2O7 high-temperature in-situ decomposition, and belongs to the technical field of lithium ion battery cathode regeneration. The method comprises the following steps: self-discharging a decommissioned lithium ion battery, and disassembling and separating a positive pole piece; carrying out chopping, soaking and low-temperature calcination on the retired positive plate to obtain waste cathode powder which can be used for upgrading and regeneration; the pre-synthesized Li6Zr2O7 material is added, and due to the fact that the Li6Zr2O7 material can be decomposed into Li2O, ZrO2 and Li2ZrO3 after being calcined in the oxygen atmosphere at the temperature of 800 DEG C, in-situ repair can be carried out on the retired nickel-rich cathode, and the purposes of lithium supplement, bulk phase gradient doping and surface modification are achieved. The lithium supplement material of the retired nickel-rich cathode is designed and improved, and the lithium supplement reagent is decomposed in situ to carry out a one-step upgrading regeneration strategy of bulk phase repair and surface modification, so that the limitation of the nickel-rich cathode on the lithium salt requirement is broken through, the strong alkalinity brought by LiOH is avoided, and the lithium-rich cathode can be recycled. The nickel-rich cathode subjected to in-situ decomposition modification by adopting lithium zirconate (Li6Zr2O7) has ultrahigh-temperature stability superior to that of a commercial material.

The present application relates to the technical field of computer vision and human pose generation, and particularly relates to an aesthetic perception pose generation method based on vision and text prompts, which comprises the following steps: obtaining multi-modal input data comprising a no-human scene image, a human specified position, and a text description of human and scene attributes; extracting multi-modal features, and matching an adaptive target pose prototype in a pose prototype library pre-constructed through K-means clustering; generating predicted deformation parameters through a partial-level Transformer variational autoencoder; and finally restoring a 17-keypoint human pose conforming to portrait photography aesthetics, scene and human attribute adaptation. The present application optimizes the pose generation path and model training strategy, reduces the pose generation complexity, improves the matching efficiency, scene adaptability and pose naturalness, enhances the model robustness, generalization ability and expansibility, and comprehensively improves the efficiency, accuracy and aesthetics of pose generation, and adapts to various scenes and multiple requirements.

The invention relates to the technical field of communication, in particular to a Beidou multidirectional communication data forwarding system and method, and the system comprises a control module, a rule configuration management module, a Beidou satellite communication management module, a forwarding management module and the like. The Beidou multidirectional communication data forwarding system provided by the invention has high flexibility, reliability and security, successfully realizes multidirectional forwarding application of Beidou satellite communication data through mutual cooperation and cooperative work of a plurality of service modules, breaks the limitation of data application, and has wide application prospects. The data utilization value and sharing efficiency are remarkably improved, the wide application prospect and huge potential of the system in the field of Beidou satellite communication are fully shown through the specific workflow and advantages of the system, and efficient forwarding of Beidou satellite communication data to users, platforms and equipment can be achieved on the platforms. Therefore, the application flexibility of the Beidou short message is greatly improved.