302 results about "Rapid processing" patented technology

The invention relates to the technical field of image processing, and discloses a parallelization connected domain analysis method based on neighborhood labeling, computer equipment and a storage medium, through high parallelization design, the steps of father node, root node and area junction point searching, mapping establishing, re-numbering and the like are all designed into an independent parallel computing mode, and the parallel computing mode is designed into a parallel computing mode. According to the method, the acceleration capability of parallel computing hardware such as a GPU can be fully utilized, the processing speed is remarkably improved, the method is easy to expand, large-scale high-resolution images can be efficiently processed, the area of each connected domain is counted by adopting a Hash optimization method of grouping local reduction and global merging, atomic conflicts are effectively reduced, the statistical efficiency is improved, and the calculation efficiency is improved. The robustness of the algorithm in a parallel computing environment is further enhanced, so that the efficiency of the connected domain analysis algorithm is greatly improved, rapid processing of high-resolution images is realized, and powerful support is provided for real-time performance and large-scale application in the field of computer vision and image processing.

The invention provides a multilayer medium efficient imaging method suitable for frequency modulation continuous wave ice radar data, and belongs to the field of frequency modulation continuous wave ice radar imaging. Comprising the steps of multi-layer medium signal model construction, improved distance-Doppler algorithm implementation, distance migration accurate correction and azimuth focusing processing. According to the method, a multi-layer medium signal model containing refractive index and propagation velocity changes is established for the problem of target distance distortion caused by propagation velocity differences of electromagnetic waves in different media such as ice and snow; based on the model, a traditional distance-Doppler algorithm process is improved, distance migration caused by multiple layers of media is accurately corrected by introducing a medium-dependent distance migration factor, and efficient azimuth focusing is achieved. And finally, a high-resolution ice layer internal structure image can be generated, and the method is suitable for polar region large-range ice cover detection and rapid processing of a large amount of ice radar data.

The invention belongs to the field of electric power system data analysis, and relates to an electric power system electric quantity loss calculation method and device based on a neural network, and the method comprises the following steps: S1, data recording; s2, a step of feature extraction; s3, a causal graph is constructed; s4, a causal inference model is constructed; s5, estimating a causal effect; s6, evaluating the electric quantity income loss; according to the technical scheme of the invention, the method achieves the accurate calculation of the power loss value through employing the block chain technology and constructing the neural network algorithm model for the limitation of an existing power system power loss evaluation system, facilitates the formation of a complete compensation tracing list, and provides a technical guarantee for the quick processing of a case and the timely realization of rights and interests.

The invention belongs to the field of machining, and particularly relates to an integrated high-precision nut burying operation machine which comprises a frame body, a displacement mechanism, a nut burying mechanism, a man-machine interaction layer and a data acquisition and processing module. The core of the system is that a multi-source cooperative closed-loop regulation and control system is constructed, a visual detection module integrates a multispectral compound eye bionic system and an improved ICP algorithm, pressure and temperature field adjustment is combined with shape memory alloy, phase change energy storage and fuzzy control, and a process parameter self-optimization and abnormity self-repairing subsystem is matched. The equipment can automatically adapt to workpieces made of various materials, initial optimization parameters are output when the equipment works for the first time, the embedding precision and the pressing-in force stability are effectively guaranteed, the problems of screw loose, deformation and the like are avoided, clamping stagnation, overheating and other abnormalities can be rapidly handled, production interruption is reduced, and high precision, high efficiency and production continuity are considered.

The invention relates to the technical field of equipment operation tests, particularly discloses a simple scene equipment operation action rapid processing method based on a test video, and is used for solving the problems of low action recognition precision, insufficient spatial-temporal feature fusion, low detection speed and more redundant data in the prior art. Comprising the following steps: accurately intercepting motion start-stop frames, extracting the frames according to a preset frame rate, implementing geometric transformation and color augmentation on the frame-extracted images, respectively extracting spatio-temporal dynamic features and static spatial features by adopting a 3D convolutional network and a 2D convolutional network in parallel, integrating the spatio-temporal features by a channel fusion attention module based on a Gram matrix, and extracting the spatial and temporal dynamic features and the static spatial features by adopting the channel fusion attention module based on the Gram matrix. A thermodynamic diagram is generated based on Grad-CAM to assist in key area positioning, a RefineDet network is input to generate a detection result through ARM coarse regression and negative anchor filtering, ODM fine regression and non-maximum suppression in sequence, and efficient and accurate positioning and classification of operation actions are carried out with assistance of a dynamic frame abandoning and time sequence correction strategy; according to the invention, through the multi-scale residual error convolution and the anchor frame network, accurate positioning of slow action of equipment is realized.

According to the technical scheme, the automatic water quality monitoring method is characterized by comprising the following steps that on-site sampling is conducted, and sample information is input into a printing tool and printed on a sample; transporting and handing over the water sample, scanning and inputting all sample information into a management system, and recording the sample entering time; intelligent sample distribution and circulation; performing intelligent water sample detection by using a water quality analyzer; data analysis and transmission and intelligent sample distribution and circulation comprise a sample test distribution strategy and a quality control scheme, in the method, each sample has a unique digital identity card, the system automatically distributes tasks, optimizes a detection path, greatly improves circulation efficiency, avoids deviation caused by manual selection, can continuously run for 24 hours, and has a wide application prospect. Rapid treatment of a large number of samples is achieved, and the high-throughput requirement of modern monitoring is met.

The application discloses an automatic sorting equipment for low-altitude logistics, which comprises a conveying mechanism for conveying packages and a support table, wherein the support table is provided with a sorting mechanism for sorting the packages and a plurality of storage mechanisms, the sorting mechanism is arranged on one side of the conveying mechanism, the plurality of storage mechanisms are used for storing the sorted packages, and the plurality of storage mechanisms are arranged on the side, away from the conveying mechanism, of the sorting mechanism, a mechanical arm is arranged between adjacent sorting mechanisms, a grabbing assembly is installed on the mechanical arm, and a parking table for parking a drone is arranged on one side of the storage mechanism. The application can significantly reduce the waiting time of the drone, improve the operation efficiency of the whole process of "sorting-loading-distribution" of the low-altitude logistics, fully exert the time advantage of the low-altitude logistics, realize the rapid processing of priority packages, meet the efficient sorting demand of hundreds or even thousands of packages per day of the low-altitude logistics, and reduce the labor cost and the sorting delay rate.

The invention discloses a plant three-dimensional reconstruction and phenotype extraction platform and a plant three-dimensional reconstruction and phenotype extraction method, and relates to the field of computer vision. A data acquisition controller in the platform judges whether all target plants enter a shooting window according to the center line deviation of a shooting trolley and the distance between the target plants and a distance measurement module; if yes, a differential motor PID closed-loop control algorithm is adopted to control the shooting trolley to decelerate to a preset shooting speed, the shooting trolley is controlled to shoot the target plant at multiple visual angles at the same time, a processing module adopts a NeRF model to conduct three-dimensional reconstruction on the target plant according to the image set, and a target plant surface point cloud is obtained; processing the surface point cloud of the target plant by adopting a Pointnet + + segmentation model to obtain a point cloud subset of each leaf and a stem point cloud subset; and obtaining phenotypic parameters according to the stalk point cloud subset and the leaf point cloud subset. The method and the device have the advantages of high precision, fast processing and field operation adaptability.

The present application discloses a digging bucket type pioneering device, a pioneering machine and a use method thereof, the pioneering device comprising: a supporting top plate, a bucket component and a cutting component; the supporting top plate is fixed with supporting side plates on both sides; the bucket plate in the bucket component is located between the pair of supporting side plates and forms a bucket structure with a certain volume together with the supporting top plate; the cutting component is located at the rear side of the bucket component and has a cutting drum driven to rotate and connected between the pair of supporting side plates; the supporting top plate is driven to rotate circumferentially, so that the bucket component and the cutting component can switch positions circumferentially. The pioneering machine comprises the pioneering device and a mobile host, and the mobile host is movably connected with the supporting hanger through a mechanical arm. The present application has a simple and compact structure, realizes continuous operation of shoveling and cutting, completes rapid processing of the environment, has strong maneuverability, reduces the use of traditional multiple machine tool matching operation, and is suitable for different working environments.

The present application belongs to the field of mechanical processing and sawing, and relates to a plastic door and window cutting and chamfering integrated saw, which comprises a rack, a horizontal cutting saw, a vertical cutting saw, a first positioning device, a second positioning device and a chamfering cutting positioning assembly. The horizontal cutting saw and the vertical cutting saw are slidably arranged on the rack along the longitudinal cutting direction of the material. At least one first positioning device and at least one second positioning device are arranged on the rack along the longitudinal cutting direction of the material. The first positioning device and the second positioning device are respectively located on the two sides of the longitudinal cutting direction of the material. The chamfering cutting positioning assembly is movably arranged on the first positioning device. The chamfering cutting positioning assembly and the cutting saw are oppositely arranged on the two sides of the material cutting direction. The positioning devices are arranged at intervals in the material cutting direction. The chamfering cutting and the saw cutting are efficiently matched. The problem of batch rapid processing of trapezoidal blocks for plastic doors and windows is solved.

The invention belongs to the field of aerodynamics, and particularly relates to a quick treatment method for a trailing edge step of an airfoil profile. The method comprises the following steps: standardizing airfoil profile data, calculating a thickness distribution curve and a camber distribution curve of the airfoil profile through airfoil profile coordinates, constructing a new continuous disturbance function which is a continuous derivable function, and the disturbance quantity of the function at the rear edge is just the required step thickness. And the smooth and continuous disturbance function is superposed on the thickness distribution, so that local rapid adjustment of the thickness of the step on the rear edge of the airfoil is realized, finally, the coordinates of the airfoil are inversely calculated through the camber distribution and the thickness distribution, and the airfoil profile meeting the requirement is obtained. Due to the fact that the camber distribution and the maximum thickness of the airfoil profile modified through the method are not changed, the requirement for continuity of the appearance is met, and it can be guaranteed that the overall aerodynamic characteristics of the airfoil profile before and after adjustment are basically consistent.

This application discloses a method, apparatus, device, medium, and product for batch processing of transaction data, relating to the field of big data technology. The method includes: grouping a first transaction dataset based on account identifier codes to obtain a second transaction dataset corresponding to each account; aggregating transaction data with the same transaction sequence number from all second transaction datasets into a third transaction dataset to obtain a third transaction dataset corresponding to each transaction sequence number; classifying each third transaction dataset based on transaction type to obtain a corresponding fourth transaction dataset; processing the pending transaction data group corresponding to the current transaction sequence number to obtain cross-sectional data for the current transaction sequence number; and sequentially processing the pending transaction data group corresponding to the next transaction sequence number based on the cross-sectional data until all transaction sequences are processed to obtain the final cross-sectional data. This application can meet the need for rapid processing of massive amounts of account transaction data and can improve the processing speed of massive amounts of account transaction data.

The utility model provides an interface signal control terminal for simulating equipment failure, which relates to the technical field of video conference systems, and comprises a control terminal in communication connection with an interactive terminal, the control terminal comprises a main control module, a relay module and an interface module, the main control module is in communication connection with the interactive terminal, and the relay module is in communication connection with the interface module. The relay module is electrically connected with the main control module, and the interface module is electrically connected with the relay module; the main control module can receive a switching value signal sent by the interaction terminal and transmit the switching value signal to the relay module, so that the relay module controls the on-off of the interface module; according to the utility model, the interaction terminal cooperates with the control terminal having the master control module, the relay module and the interface module to control the on-off mode of the corresponding interface and simulate the real fault state and fault environment of the equipment, thereby cultivating the fault diagnosis and processing capability of workers, and enabling the workers to work normally when the equipment has an abnormal fault. And rapid processing can be realized.

The application relates to the technical field of semiconductor polishing processing, and discloses a high-precision semiconductor cavity polishing machine, which comprises a positioning base, a sliding base movably arranged on the positioning base, a polishing mounting base rotatably arranged at the end of a connecting arm, a track-type polishing assembly arranged on the outer side of the polishing mounting base, cleaning members and polishing liquid adding members arranged at the middle and the side of the inner side of the polishing mounting base respectively, and a tightening mechanism arranged on the polishing mounting base and used for adjusting the tightness and distribution state of the track-type polishing assembly and improving polishing precision. The high-precision semiconductor cavity polishing machine improves polishing processing efficiency, facilitates rapid processing of recessed areas such as curved surfaces, can effectively clean the polishing assembly and continuously and stably add polishing liquid to the polishing assembly, and improves polishing precision.

The invention discloses an inspection method for rapidly processing a wire rod metallographic specimen, and belongs to the technical field of metallographic detection. The invention provides an inspection method for rapidly processing a wire rod metallographic specimen in order to solve the problems of inconvenience in specimen processing operation marking, long inspection time, material mixing and material loss during hook-by-hook sampling inspection of a wire rod bearing steel rolling body product. The method comprises the steps of incoming material acceptance check, sample sorting, sample processing, metallographic sample preparation and microscopic examination, an auxiliary device is made of 45 # steel and is of a cuboid structure of 390mm * 75mm * 50mm, circular grooves are formed in the upper surface of the auxiliary device and are arranged in the width direction of the auxiliary device, every two circular grooves form one group, and ten groups of circular grooves are arranged; the diameter of each circular groove is 30 mm, the depth of each circular groove is 30 mm, and the gap between every two adjacent circular grooves is 5 mm. By adding an auxiliary device and a new technological process method, one-person operation can be reduced, the processing time is shortened by half, the probability of sample mixing and losing is 0%, and the accuracy and the efficiency of hook-by-hook inspection of the wire rod are greatly improved.

The invention discloses an intelligent benchmarking analysis method and system based on multi-dimensional data fusion. The method comprises the following steps: firstly, determining various operation data involved in the white feather broiler breeding process of a target enterprise, carrying out standardized definition, and storing the data in a unified data storage layer; secondly, detecting and cleaning data quality problems through a rule engine and a machine learning algorithm; collecting historical data of all monitored enterprises in the industry, and establishing a multi-dimensional benchmarking analysis system; processing the cleaned data based on the benchmarking analysis system, and generating improvement suggestions for the target enterprise; and finally, real-time data acquisition and analysis are carried out to realize rapid processing and analysis of real-time data. According to the invention, through intelligent data processing and analysis means, accurate operation decision support and risk early warning are provided for enterprises.

This invention discloses a method for quantifying the concurrent impact and legacy effects of extreme climate events on terrestrial carbon flux, relating to the fields of data analysis and artificial intelligence. Compared with traditional regression methods, this invention employs machine learning, which offers advantages such as automated decision-making, adaptive learning, real-time computation, and reduced human error. It can better handle complex and nonlinear relationships. Machine learning algorithms can automatically extract patterns from data and make decisions accordingly, thereby reducing the need for manual intervention and significantly improving work efficiency. With the rapid growth of data, machine learning systems can continuously learn from new data, update decision-making or prediction models, and quickly process and analyze massive datasets. Through big data analysis and pattern recognition, machine learning can reveal deep correlations and trends hidden in the data.

The utility model discloses a picture frame insert mortise rapid processing device, which relates to the technical field of mortise and tenon structures, and comprises a base and a vertical rod arranged on the base, the vertical rod is provided with a fixing assembly for fixing a wood part, a sliding seat is arranged above the base in a sliding manner, a fixing seat is arranged above the sliding seat in a sliding manner, and the fixing seat is provided with a plurality of grooves. A machining motor is fixedly arranged on the fixing base, a cutting tool bit is arranged at the output end of the machining motor, and a handrail is arranged at the upper end of the fixing base. The vertical rod on the base is connected with the fixing assembly, so that the whole device is fixed to the position of a wood part; and the sliding seat quickly pushes the machining motor on the fixed seat to move forwards, backwards, leftwards and rightwards, so that the technical effect of quickly machining the wood part is achieved.

A hybrid AI-FPGA processing system for high-speed image processing in the medical field, consisting of: an imaging device configured to generate an image data stream; a data acquisition module configured to receive the image data stream from the medical imaging device a data preprocessing module integrated with the data acquisition module, configured to convert the received medical image into a format suitable for further operations; an operating control unit configured to receive preprocessed image data from a data preprocessing module, wherein the operating control unit comprises a reconfigurable FPGA fabric component (Field Programmable Gate Array) integrated into a host central processing unit (CPU), wherein the reconfigurable FPGA fabric component comprises: a custom AI inference accelerator, one or more specialized image filter cores, and high-bandwidth on-chip memory, and wherein the custom AI inference accelerator and the specialized image filter core(s) are configured to operate in parallel on the prepared image data; a high-speed interconnect module that connects the reconfigurable FPGA structure to the host CPU, wherein the high-speed interconnect module includes a Peripheral Component Interconnect Express (PCIe) interface; an on-chip bus architecture, wherein the high-speed interconnect is configured to prevent data bottlenecks when transferring large medical image datasets between the host CPU and the FPGA structure component; the system is configured to perform medical image analysis in real time with reduced latency compared to CPU-based or GPU-based processing systems.

The invention provides a big data intelligent analysis system, which belongs to the technical field of industrial big data and comprises a data acquisition module, a data storage module, a data processing module, a data mining module, a data visualization module, a data analysis module, a data security module and a real-time monitoring module. The big data intelligent analysis system provided by the invention solves the technical problems of improving data processing efficiency, ensuring data security, providing a scientific basis for decision making, optimizing resource configuration and the like. By adopting an efficient data processing technology and algorithm, large-scale data can be quickly processed, the data processing efficiency is improved, and a basis is provided for subsequent data analysis. Meanwhile, the system adopts various security technologies and measures, so that the security and privacy protection of the data are ensured, and the data are prevented from being leaked and attacked. In addition, the big data intelligent analysis system can discover the internal relation and rule of the data through data analysis, provides a scientific basis for decision making, and helps enterprises make more intelligent decisions.

The invention discloses an HDPE pipe performance prediction and optimization system based on big data analysis, performance data under different environments and working conditions are widely collected through a data collection unit, actual complex conditions are comprehensively covered, and the problem of incomplete coverage in the prior art is solved; meanwhile, the data processing unit quickly processes data and calculates the performance correlation degree, the model building unit quickly models according to the performance correlation degree, the objective function building and optimization analysis unit efficiently operates, the process is quick, evaluation results and optimization suggestions can be given in time, and the requirements of markets and projects for timeliness are met; in addition, modeling is performed based on a large amount of real data, rules are deeply mined, a prediction model is accurately constructed, and compared with a traditional empirical formula, the performance can be more accurately predicted, and the evaluation accuracy is improved; besides, the internal relation of performance parameters is defined, influence factors are comprehensively considered on the whole, optimized parameters are obtained through optimization analysis, comprehensive evaluation and optimization of the performance of the HDPE pipe are achieved, traditional limitation is broken through, and the overall performance and quality of the pipe are improved.

The invention discloses a rapid treatment device for aluminum product production wastewater, and belongs to the technical field of metal wastewater treatment. The device mainly comprises a water inlet bin, a coagulation bin is fixedly arranged on the front portion of the water inlet bin, a communication bin is fixedly arranged on the upper portion of the water inlet bin, a sediment collecting bin is fixedly arranged on the lower portion of the water inlet bin, a sediment collecting mechanism is arranged in the sediment collecting bin, and the sediment collecting mechanism comprises a driving mechanism, a driving piece and a driven piece; a flocculation bin is fixedly arranged on the other side of the precipitation bin, a connecting pipe is fixedly arranged at the lower part of the precipitation bin, and a storage bin is fixedly arranged at the rear part of the flocculation bin. By arranging the water inlet bin, the coagulation bin, the flocculation bin, the precipitation bin and the precipitate collecting bin, main impurities such as disintegrating slag particles, aluminum ions and fluorine ions in the aluminum product wastewater are filtered, neutralized, precipitated and recycled, and the impurities in the precipitation bin and the water inlet bin are collected in a unified mode. The method is mainly used for flexibly and rapidly treating the aluminum material wastewater.

The application discloses a kind of track fusion methods of vehicle, ship: first, the measurement data and real data of target track are preprocessed, the size of data graph is determined by stepwise regression algorithm, then one-dimensional track point data is assembled into two-dimensional track data graph, to achieve the purpose of batch processing measurement data, also can capture the motion correlation between track point data.Second, the interaction between features and the spatial features between data are mined through CIN network structure, then the input of CIN is taken as the input of Informer module, the temporal features between data are mined through Informer module, and finally the fusion result is obtained through LSTM module.Finally, the model is trained and the model file is obtained, and the track fusion task is completed on the validation set.The application can quickly process large track measurement data and accurately calculate the track fusion result, improve the accuracy of track fusion.

The technology described herein uses both accurate and fast classifiers to identify malicious URLs. Aspects of the technology are particularly well suited for use as a real-time URL security analysis tool because the technology is able to quickly process URLs and issue a warning when a malicious URL is identified. The fast processing speed of the technology described herein is in part achieved by using only a single input signal, which is the URL itself. The high accuracy produced by the technology described herein is achieved by analyzing unstructured text at both the individual character level and the individual word level. The technology described herein uses both character level information and word level information from the incoming URL.

The utility model relates to metal piece processing technical field especially is a kind of metal piece array hole quick processing device, including fixed platform, the fixed platform upper end is equipped with drilling mechanism, the drilling mechanism includes: mounting plate, the mounting plate is driven by hydraulic cylinder, and mounting plate lower end is rotatably connected with concave plate by pivot;Concave plate, the concave plate lower end is equipped with sliding slot two, motor two is fixed in sliding slot two inside, and motor two side is equipped with screw rod with transmission, and screw rod surface is equipped with internal thread sliding block with thread connection;By starting motor two drive screw rod rotation, to drive internal thread sliding block inside internal thread sliding block to move to both sides, adjust interval, then hydraulic cylinder drives drilling machine to descend and carries out drilling, then, starting motor one drives gear to act on annular meshing groove, drives concave plate to rotate by pivot, to carry out annular array drilling.

The invention provides a fault processing method, a storage medium and a vehicle, and the method comprises the steps: obtaining the first opening information of a target liquid pump in a motor loop, and carrying out the fault detection of the target liquid pump based on the first opening information, and obtaining a first detection result; under the condition that the first detection result represents that the target liquid pump has the fault, a relay of the target liquid pump is controlled to execute target operation; second opening degree information of the target liquid pump is obtained, fault detection is carried out on the target liquid pump again based on the second opening degree information, and a second detection result is obtained; and under the condition that the second detection result represents that the target liquid pump has the fault, the standby liquid pump is started to work, so that the liquid in the motor loop is driven to flow through the standby liquid pump. According to the technical scheme, faults can be quickly handled, normal work of the target liquid pump can be recovered in time, the fault handling efficiency is improved, the maintenance cost is reduced, and it is avoided that faults of the target liquid pump affect the running safety of the motor.

The present application relates to the technical field of computer vision, in particular to a method for fast processing 2D video and color fusion of real scene reconstruction three-dimensional model based on GPU, comprising the following steps: data acquisition and space-time reference calibration preprocessing; real scene three-dimensional basic model construction; GPU parallel space-time joint pose compensation projection mapping; re-projection error calculation and pose compensation iterative optimization; GPU accelerated color fusion optimization output. The present application designs the GPU parallel space-time joint pose compensation projection mapping, combines the acquisition timestamp difference and device motion parameter to calculate the pose compensation amount, matches the re-projection error iterative optimization, adapts the real scene three-dimensional reconstruction dynamic acquisition scene, corrects the space-time asynchronization and pose offset, accelerates the GPU parallel operation and guarantees the projection mapping accuracy; at the same time, relying on the GPU parallel rendering engine to complete the color difference correction, color tomography smoothing and edge transition processing, realizes the uniform fusion of 2D video color and three-dimensional model, and solves the problems of uneven color and connection trace.

The invention discloses a multi-modal event analysis method and system for realizing efficient calculation, and belongs to the field of artificial intelligence and edge calculation. The method comprises the following steps: receiving data streams from a plurality of heterogeneous sensors; calculating a cross-modal confidence score reflecting the consistency between the data streams by a fusion engine; the method is characterized in that a calculation regulator dynamically selects an optimal processing stage from a recognition engine with a plurality of hierarchical processing stages according to the confidence score; and processing the data and generating event classifications using only the selected stages. According to the method, a feedback control loop from the multi-modal confidence coefficient to the calculation depth is established, adaptive calculation of deep analysis of fuzzy and conflict data and rapid processing of clear and consistent data is achieved, the average calculation load is remarkably reduced, and meanwhile the accuracy and reliability of an analysis result are greatly improved.

The invention provides an aircraft structure load distribution determination method, and relates to the technical field of aircraft structure load design, and the method comprises the following steps: S1, generating an aircraft aerodynamic load conversion model node force; s2, generating structural finite element model node aerodynamic force; s3, generating acceleration and angular acceleration of the aircraft in three directions of the aircraft body coordinate system, and calculating to obtain structure node inertia force; s4, the structural node aerodynamic force and the structural finite element model node inertia force are combined to generate a total structural load, and shear bending moment distribution is generated; as important input of aircraft structure strength design, rapid processing and generation of aircraft structure loads are achieved. According to the processing method, finite element software is not needed for solving, the aircraft structure load processing process is processed and standardized, the calculation efficiency is high, and the aircraft structure load can be rapidly processed only through aerodynamic load input, aerodynamic load conversion model node and unit data and aircraft mass distribution.

This invention discloses an automatic paper document encoding device, comprising a paper document placement area, a paper feeder, a photoelectric counter, an operating interface, an inkjet printing system, and a pre-encoded paper document placement area. The photoelectric counter, operating interface, and inkjet printing system are all electrically connected. The photoelectric counter is used to detect the number of papers and triggers the printing action of the inkjet printing system through the electrical connection between the photoelectric counter and the inkjet printing system. The operating interface also allows for the activation of a modification mode to correct the encoding of the paper documents. This invention can quickly process large batches of paper documents, significantly improving encoding efficiency; and through the photoelectric counter and inkjet printing technology, it ensures the continuity and accuracy of the encoding.