113results about How to "Shorten the development cycle" patented technology

The present application is applicable to the field of communication technology, a method of communication between applications, a terminal device and a computer readable storage media are provided. The method comprises: the first application establishes a connection with the server based on an interface provided by the first client, the second application establishes a connection with the serverbased on an interface provided by the second client, As such, a communication connection is established between that first application and the second application, the first application then sends a first communication message to the second application through the communication connection, the second application may return a second communication message to the first application through the communication connection, after the communication connection between the first application and the second application is completed, the communication connection between the first application and the second application is disconnected by the release request, and since the interface provided by the client has information for converting the data of the application to conform to the communication protocol. The communication method development period between the applications is short and the stability is good.

The application provides an amorphous alloy magnetocaloric performance prediction method and system based on interpretable machine learning, relates to the technical field of material science and engineering, and comprises the following steps: step 1, constructing an amorphous alloy magnetocaloric performance data set, wherein the data set comprises alloy composition data, physical and chemical descriptors, external conditions and structural characteristics of a plurality of amorphous alloy samples and corresponding experimental values of maximum magnetic entropy change and Curie temperature; step 2, screening and optimizing the features in the data set, eliminating the collinearity between the features and performing recursive feature elimination to determine the final feature subsets for predicting the maximum magnetic entropy change and the Curie temperature respectively; and step 3, establishing machine learning models for predicting the maximum magnetic entropy change and the Curie temperature respectively through the final feature subsets, and training and optimizing the models to obtain the trained prediction models. The application realizes a closed loop of high-precision performance prediction, physical mechanism analysis and directional composition design.

The application belongs to the field of aircraft composite part manufacturing, and particularly relates to a method for determining a model surface of a composite stiffened panel forming tool based on the deformation capacity of a stringer. The method considers the deformation capacity of the stringer before tooling, effectively avoids the problems of scrapping, cycle, cost and the like caused by the mismatch between the stringer and the product skin after tooling, saves the development cycle, and is beneficial to the accurate manufacturing and iteration of the panel.

The application relates to the field of flight control technology, in particular to a hovering control method and device for a short take-off and vertical landing aircraft of a tilt-rotor type, wherein the method comprises the following steps: constructing a hovering nonlinear dynamics model of the short take-off and vertical landing aircraft containing a tilt-rotor power system; converting the hovering nonlinear dynamics model of the short take-off and vertical landing aircraft into a high-order full-drive system model to design a state tracking controller; designing an adaptive law based on a neural network to estimate nonlinear terms in the hovering nonlinear dynamics model of the short take-off and vertical landing aircraft; and feeding back the nonlinear terms to the state tracking controller to perform hovering mode stable control. Thus, the problems that the hovering control method based on dynamic inversion needs a large amount of linearization processing, the actuator dynamic characteristics are significantly different, the controller needs to verify the closed-loop performance through repeated simulation and experiment, and the multi-actuator decoupling efficiency of the aircraft is low and the robust control performance is poor are solved.

This application provides an adaptive torque compensation method, device, and air conditioner, applied in the field of air conditioner control. The method includes: obtaining the speed difference between a given speed and an observed speed, and transforming the speed difference according to a preset conversion strategy based on the correspondence between the load torque and the speed difference to obtain a load torque pulsation observation value; calculating a load torque current feedforward compensation value based on the load torque pulsation observation value and the torque constant of the controlled object, and performing feedforward compensation on the load torque current based on the load torque current feedforward compensation value; wherein, the preset conversion strategy includes: performing a direct-axis quadrature-axis conversion on the speed difference. dq Transformation and qd Inverse transformation. The adaptive torque compensation method, device, and air conditioner provided in this application can automatically calculate the compensation value based on the operating data, which not only reduces the cost of manual debugging and shortens the development cycle, but also adapts to various load conditions and reduces pipeline vibration under different operating conditions.

The utility model discloses a kind of rear subframe, rear suspension assembly and car, comprising: main body frame, including front crossbeam, rear crossbeam, left side sill and right side sill, the front crossbeam, rear crossbeam, left side sill and right side sill are all made of hollow pipe material, the main body frame forms rear drive motor installation space between the front crossbeam and rear crossbeam, the middle part of left side sill and right side sill is curved upwards, the main body frame forms transmission shaft arrangement space below the curved position of left side sill and right side sill;Rear suspension mounting bracket is set in the main body frame.The utility model realizes the maximization of rear subframe universality of front drive and rear drive vehicle type, improves development efficiency, reduces rear subframe development cost, shortens development cycle.

The application relates to the technical field of digital human body models, in particular to a digital human body muscle model posture generation method and device. The method comprises the following steps: obtaining a tomographic image of an initial posture of a human body by using high-precision CT, and inversely modeling a geometric model of human body bones and muscles according to the tomographic image; calculating a first motion influence weight of each muscle node attached to a bone node according to each muscle node and the bone node; calculating a second motion influence weight of each muscle node according to the influence of adjacent muscle nodes on each muscle node; calculating a comprehensive weight of each muscle node according to the first motion influence weight and the second motion influence weight; and calculating a Laplace coordinate of a next moment of a current muscle node according to the comprehensive weight of the current muscle node, the position of the current muscle node and adjacent muscle nodes. The application generates a high-fidelity muscle geometric model by using a Laplace mesh deformation constraint technology.

This application discloses a method, apparatus, equipment, and medium for flutter analysis of UAV wings during the design phase, relating to the field of aircraft design. The method includes: generating a first component by calling a corresponding structural component simulation model from a finite element structure module library based on the shape parameters of the wing to be analyzed; constructing a skin finite element mesh model based on the first component; determining the installation position of a second component at the node positions of the skin finite element mesh model; generating the second component by calling a corresponding structural component simulation model from the finite element structure module library; installing the second component at the corresponding node positions of the skin finite element mesh model based on the installation position to obtain a target wing model; performing aerodynamic modeling using the skin finite element mesh model to obtain a flutter calculation file; performing flutter analysis based on the flutter calculation file and the target wing model; and optimizing the wing to be analyzed that has a flutter risk based on the flutter analysis results. This application shortens the UAV design cycle.

This invention discloses a six-degree-of-freedom underwater robot, comprising a frame, a propulsion system, a sensor monitoring system, and a controller. The propulsion system includes four horizontal vector thrusters and two vertical thrusters. The controller is communicatively connected to the propulsion system and the sensor monitoring system, and achieves independent, decoupled control of the propulsion system's six degrees of freedom based on multi-dimensional sensor data collected by the sensor monitoring system. This invention also discloses a corresponding six-degree-of-freedom underwater robot control system, including a host computer layer, a ROS core layer, a control layer, a drive layer, and a hardware terminal layer, all connected by communication. This solution optimizes the hardware layout, achieves independent, decoupled control of the six degrees of freedom, and improves underwater motion and hovering stability. This design features deep hardware and software synergy, improving underwater operational stability, shortening the development cycle, and enhancing operational safety, making it suitable for various scenarios such as underwater exploration, detection, and scientific research.

This invention discloses a method, device, and storage medium for determining the imaging position of a vehicle window glass, relating to the field of automotive glass imaging. The method includes the following steps: determining a reflection point on the projection when the line connecting the eye point and the emitting point can form a projection on the vehicle glass, based on a preset reflection length ratio; determining a convergence value of the reflection length ratio based on the positions of the eye point, the emitting point, and the reflection point; adjusting the position of the reflection point based on the convergence value of the reflection length ratio, wherein the adjustment is completed when the difference between the incident angle and the reflection angle of the reflection point is within a specified threshold; and using the adjusted reflection point as the imaging point corresponding to the eye point and the emitting point. This invention can quickly find the actual imaging position of the emitting point on the glass without using dedicated optical software, significantly reducing R&D costs, shortening the development cycle, and improving R&D efficiency.

The application discloses a method for optimizing process parameters of metal type nuclear fuel preparation process, collecting and arranging metal type nuclear fuel preparation process parameters and performance parameters, post-preparation performance parameters and microstructure metallographic pictures; establishing a metal type nuclear fuel solidification phase field model according to a solidification thermodynamic path under different process parameters; solving the metal type nuclear fuel solidification phase field model by using a Fourier spectrum method to obtain a phase field variable numerical solution; post-processing and visualizing the phase field variable numerical solution to generate a microstructure distribution map of the metal type nuclear fuel after solidification, and comparing and verifying the phase field model with the metal type nuclear fuel microstructure metallographic picture; calculating the post-solidification performance parameters of the metal fuel based on the microstructure distribution of the metal type nuclear fuel after solidification; taking the preparation process parameters as input and the performance parameters as output, constructing a nonlinear mapping proxy model between the metal type nuclear fuel preparation process parameters and the performance parameters; and solving the optimal preparation process parameters by using the nonlinear mapping proxy model given the target performance parameters of the metal type nuclear fuel.

The application discloses a kind of square battery roll core tab die-cutting parameter calculation method, belong to new energy battery technical field.The method includes parameter determination, first circle length calculation, circle length difference calculation, each circle length calculation, correction and finishing adjustment steps.First, according to the key parameters of cell design scheme are determined, then according to the winding direction and the position of tab calculates the first circle of tab die-cutting length, then calculate the length difference of each circle of tab, and then obtain the length of each circle of tab die-cutting theory, by multiplying correction coefficient, combined with the total design length of tab adjustment last circle length, obtain the final tab die-cutting parameter.The application is based on winding simulation and mathematical theory calculation, combined with practice correction coefficient, can quickly and accurately calculate the tab die-cutting parameter, adapt to different model square battery process parameter change, improve research and development efficiency and production quality, with wide application prospect.

The application belongs to the technical field of application software development test, and discloses an application software development test system with real-time vulnerability detection, which comprises a code real-time collection module, a multi-dimensional vulnerability detection module, a vulnerability accurate positioning module, a vulnerability risk quantitative evaluation module, a dynamic repair guidance module, a data storage module, a visual interaction module and an iterative optimization module, and each module cooperates to form a whole-process closed-loop vulnerability detection and management and control system. The application software development test system with real-time vulnerability detection is adopted, real-time capture, accurate positioning, risk evaluation and dynamic repair suggestion output of the vulnerability are realized, and the software development test efficiency and application program security are improved.

The utility model provides a kind of spraying tool for automobile parts, belong to automobile parts spraying technical field, including base, the upper portion of base is provided with gantry support, the inside of gantry support is provided with tool support, the inside of tool support is provided with multiple long rods for installing workpiece and adjusting long rod;Adjusting long rod includes multiple arc plates, the inside of arc plate is provided with multiple T-shaped connecting columns, multiple arc plates are connected by T-shaped connecting column and elastic drawstring between;The inside of arc plate both ends is respectively provided with sub thread part, and the sub thread part of the corresponding end of multiple arc plates can be combined into a tapered screw hole, and the both ends of pipe body structure are respectively screwed with conical stud through tapered screw hole.The utility model through adjustable long rod, skid connection and stable structure, not only can effectively improve adaptability and efficiency, reduce shaking and shielding, but also can guarantee spraying quality, reduce cost.

The application provides a regional controller and a vehicle, the regional controller comprising a basic system module and a plurality of independent function modules, wherein the independent function modules are integrated with hardware resources, and the independent function modules are connected to the corresponding first system connectors arranged by the basic system module through the second system connectors arranged thereby, so that the independent function modules are connected to the basic system module. In this way, the independent function modules for realizing functions in the application adopt a modular structure instead of being integrated in the regional controller, and when the configuration requirement of the regional controller changes, the independent function modules can be added or the hardware resources in the independent function modules can be changed in the regional controller, so that the overall hardware development is not required, thereby shortening the development cycle of the regional controller, reducing the cost, and improving the expandability of the regional controller.

The utility model relates to a kind of split type electric control silicon oil fan structure, it relates to the technical field of automobile parts design, it includes engine, fan bearing seat, electric control silicon oil clutch and fan blade connected in turn, electric control silicon oil clutch includes the driving disc for indirectly connecting engine power output shaft and the driven disc for connecting fan blade, driving disc and driven disc pass through working medium transmission power between, form split structure.The utility model provides the electric control silicon oil fan structure with low development cost, short matching period, facilitate the quick application of electric control silicon oil fan on vehicle.

The application discloses a kind of threshold beam profile structure optimization system and method, the system includes initial modeling module, key variable screening module and stage optimization module.Initial modeling module is used to fill the stiffener model in the cavity of the base profile section, generates initial section and finite element model.Key variable screening module passes through calculating the sensitivity of section shape variable to vehicle body bending modal frequency and side column collision intrusion, and screens out key design variable.Stage optimization module is based on key design variable, and section optimization, length optimization and stiffener optimization are sequentially executed, and the optimized stiffener layout is obtained.The application solves the problem that traditional method is difficult to cooperatively optimize section shape, length and stiffener parameters to balance lightweight and multiple performance requirements, can significantly reduce the weight of threshold beam, and shorten the optimization cycle.

The application relates to a self-cleaning seed sowing device and a design method thereof, which comprises a front shell, a seed sowing disc, a sealing ring, a driving shaft, a bottom shell and an air inlet pipe, wherein the front shell is connected with the bottom shell, a cavity is formed between the front shell and the bottom shell, the seed sowing disc, the sealing ring and the driving shaft are arranged in the cavity, the seed sowing disc is connected with the driving shaft, the back surface of the seed sowing disc is tightly attached to the sealing ring, the air inlet pipe is fixed on the bottom shell, and the air inlet pipe is sealingly connected with the bottom shell. The self-cleaning seed sowing device and the design method thereof can guide the design of the seed sowing device, shorten the development cycle of the seed sowing device, reduce the development cost, reduce the dust accumulation in the seed sowing device, automatically discharge the dust of the seed sowing device, reduce the maintenance cost, improve the reliability and service life of the seed sowing device.

This invention relates to the field of high-performance embedded real-time operating system application technology, and provides a method for task processing and human-machine interface processing on a display console based on VxWorks SMP, including: S1: Building a display console with a computer installed, configuring various control components and a display, and using the VxWorks SMP system to concurrently execute the task processing and human-machine interface processing functions that traditionally require two separate computers on the display console on this computer; S2: Developing and generating system-related project files using VxWorks development tools, and allocating and configuring task processing threads, human-machine interface processing threads, and control response underlying processing tasks, while configuring inter-task cooperation and protection mechanisms; S3: Writing a script program, guided by the VxWorks system, to load the control response underlying processing task binding project, task processing thread project, and human-machine interface processing thread project step by step. This solves the difficulty of concurrent operation of display console task processing and human-machine interface processing in VxWorks SMP.

This invention discloses a method and system for verifying the functionality of a vector processor. The method unifies matrix, vector, and scalar data formats into a matrix type using a reference model. Multi-input interface data is stored in corresponding data queues in the form of address plus data. The required computational data is extracted according to the current instruction, and unused data is stored back to the original queue. Expected output data at the clock cycle level is generated and compared with the actual output data of the vector processor to determine functional correctness. The system includes an instruction generator module, a controller module, a data generation module, a reference model module, a data collection module, and a data comparator module. This invention can improve the accuracy of vector processor fault location, simplify verification logic, and improve overall verification efficiency.

This application provides a modeling method and system for predicting the core loss of a high-frequency transformer, comprising: measuring the magnetic properties of the core material at different frequencies based on an experimental platform, and obtaining the magnetization curve and loss density curve of the core material according to Ampere's circuital law; inputting the magnetization curve into a constructed geometric model, setting excitation and boundary conditions, establishing a finite element model and performing finite element simulation analysis to obtain the loss density distribution and magnetic flux density distribution within the high-frequency transformer core; and constructing a loss model by introducing a gradient coefficient and the average value of the loss density, the magnitude of the magnetic field strength gradient, and the average value of the magnitude of the magnetic field strength gradient obtained from the finite element model, to predict the core loss. This application provides important basis for material selection, geometric structure optimization, and thermal design of high-frequency transformers, helping to shorten the R&D cycle, reduce trial production costs, and improve the overall performance of high-frequency transformers.

The embodiment of the application discloses an AI+physical hybrid evaluation method based on combination modeling and consistency scoring for short peptide screening. The method firstly constructs a target database based on a large language model, and prepares a short peptide candidate library from natural sources; then a variety of advanced structure prediction models are used to model the short peptide-target protein complex, generating multiple candidate structures; the prediction results are preliminarily screened through an inter-model consistency scoring mechanism; the high-confidence complexes are verified for binding stability through molecular dynamics simulation; finally, multiple indexes such as structure confidence, consistency score and simulation stability are fused, and the weight is optimized through a machine learning model to realize comprehensive evaluation. Experiments show that the method can significantly improve the success rate of screening of potential active short peptides, and the accuracy on an independent test set is improved by about 5% compared with a single model, and has the advantages of multi-model complementation, high prediction reliability and reliable physical verification, and can be widely applied in the fields of modernization of traditional Chinese medicine, development of functional food and research and development of short peptide drugs.

The application discloses a kind of multi-channel adaptive real-time signal processing methods, comprising the following steps: to multiple analog input signals are synchronously sampled, obtain multi-channel digital signal;The multi-channel digital signal is adaptively filtered and processed, and low-pass filtering and median filtering are executed in parallel for the digital signal of the same channel;Signal zero-crossing point is identified based on zero-crossing detection principle, and multi-cycle synchronous measurement strategy is used, and the frequency value of each channel signal is calculated according to the frequency range of multi-channel digital signal;To the filtered multi-channel digital signal, square sum is accumulated to sampling value using time sliding window, and the effective value of each channel signal is calculated by hardware accelerated square root algorithm;The frequency value and effective value calculated by each channel are output through the preset communication interface or analog output channel.

This invention discloses a method for encoding structured light patterns, a structured light projection module, and a three-dimensional measurement system, belonging to the field of optical measurement. Addressing the problem of fixed and inaccurate structured light encoding units in existing methods, this invention provides a method for encoding structured light patterns. The method divides the structured light pattern into multiple types of grid units, forming a grid encoding group with a predetermined number of consecutively arranged grid units. The grid encoding group is encoded based on the type of each grid unit, ensuring that each grid encoding group has a unique and non-repeating code. The code of the grid encoding group maps to its spatial position within the structured light pattern. Decoding includes acquiring the structured light pattern, determining the type of each grid unit, and matching the grid encoding group with the encoding set to obtain its position. This invention achieves flexible, high-density, and highly occlusion-resistant absolute position encoding by uniquely and non-repeating grid encoding groups composed of multiple consecutive grid units, making it suitable for high-precision three-dimensional measurement.

This invention discloses an active peptide from sturgeon cartilage that promotes height growth and improves bone development, along with its preparation method and applications, belonging to the field of active peptide technology. Using sturgeon cartilage as raw material, this invention selects the polypeptide with the highest activity in promoting bone growth and development from different enzymatic hydrolysis combinations through MC3T3-E1 cell experiments, and verifies its positive effect using zebrafish experiments. Subsequently, two potential active peptide sequences from sturgeon cartilage with bone growth and development promotion functions are screened using mass spectrometry to identify their sequences and bioinformatics techniques such as molecular docking. The amino acid sequences of the active peptide segments are shown in SEQ ID NO.2 and SEQ ID NO.5. The sturgeon cartilage peptides prepared by this invention have activity in promoting bone growth and development, which can solve the problem of high-value utilization of sturgeon and can also be used as a functional factor in functional products, showing good application prospects.

The application discloses a kind of temperature-resistant water-soluble monomer design methods based on generative artificial intelligence.The method comprises the following steps: constructing polymer thermal performance dataset, training quantitative structure-property relationship prediction model;Adopt generative artificial intelligence strategy, by the structure deconstruction and recombination of existing temperature-resistant monomer and water-soluble monomer, generate massive virtual monomer library;Build water-soluble evaluation index considering solubility parameter, oil-water partition coefficient and hydrogen bond number;Combined with synthesis accessibility score, multi-objective high-throughput screening is carried out on virtual monomer library.The application realizes the synergistic optimization and high-throughput screening of the temperature resistance and water solubility of candidate monomers, solves the problems of limited types of existing temperature-resistant water-soluble monomers, mainly relying on experience trial and error in research and development, and low screening efficiency, especially the lack of unified and calculable evaluation index for water solubility, which makes it difficult to optimize and screen the temperature resistance and water solubility as constraints in the process of artificial intelligence aided design.

The application discloses an interfering RNA for inhibiting ALDH2 gene expression and application, belongs to the field of gene biological medicine, and relates to the interfering RNA, wherein the double-stranded siRNA comprises a sense strand and an antisense strand, and the double-stranded siRNA is selected from any one of SEQ ID NO. 1-2, SEQ ID NO. 3-4 and SEQ ID NO. 5-6. The interfering RNA can effectively inhibit ALDH2 gene expression in colorectal cancer cells, provides a new choice for preventing or treating colorectal cancer carrying an APC gene defect / mutation based on the principle of synthetic lethality, and provides a new target for drug research and development for rectal cancer treatment.

This application provides a core-shell structure microwave absorbing material and its thickness optimization design method and application, relating to the field of electromagnetic wave absorbing materials technology. The core-shell structure microwave absorbing material comprises a sheet-like magnetic metal core and a silica shell covering the core, the silica shell being prepared via a sol-gel method. The optimization design method includes: obtaining the intrinsic electromagnetic parameters of the constituent materials; constructing a single-particle simulation model with shell thickness as the variable; calibrating the simulation parameters through a decoupling-testing-verification iterative process; optimizing the solution for the optimal thickness based on the calibration model with the goal of maximizing the effective absorption bandwidth of reflection loss; and finally determining the optimal thickness range through experimental verification. This application achieves synergistic optimization of microwave absorption performance and corrosion resistance, solving the problems of long development cycles and high costs associated with traditional trial-and-error methods. The designed core-shell structure microwave absorbing material can be widely used in fields such as electronic equipment shielding, stealth technology, and microwave anechoic chambers.

The application provides a three-dimensional rendering engine for multi-source design model integration of ocean petroleum engineering, relates to the field of computer graphics and three-dimensional visualization technology, and comprises four layers of technical architecture: a cloud rendering layer realizes high-performance graphics processing based on a Vulkan API; a cloud transmission layer is responsible for pixel stream transmission and instruction interaction; an integrated SDK layer encapsulates common interfaces; and an application docking layer realizes business development. A service-side rendering plus pixel stream pushing technical route is adopted, low-delay video transmission is realized through WebRTC, instruction interaction is realized in combination with an MQTT protocol, rendering calculation is concentrated on the service side, and the client only needs to process video stream decoding. The model browsing frame rate of the application is not lower than 20 frames per second, the first preloading time is less than 1 minute, and the system response time after preloading is less than 3 seconds, so that the smooth display problem of large-scale three-dimensional models on ordinary terminal devices is effectively solved, and high-fidelity three-dimensional visualization support is provided for the whole business process of ocean engineering.

The utility model provides a tail light and electric motor car relates to car lamp technical field. The utility model provides a tail light includes bottom shell, light source subassembly and lamp shade, bottom shell is connected with lamp shade, and the end surface of lamp shade has the even light area, and the side wall has the light leakage prevention area, light source subassembly includes the substrate and a plurality of light source spare, the substrate is located between bottom shell and lamp shade, and is installed in bottom shell, a plurality of light source spare interval distribution, and all install in the end surface of substrate towards lamp shade, the light emitting angle of light source spare is arranged as alpha, 90 DEG >= alpha >= 30 DEG, with the distance of the light emitting angle coincidence of two light source spare adjacent is P, with the distance between the end surface of substrate and lamp shade is H, H >= P. The utility model provides a tail light solves the technical problem of low brightness or high development design cost in prior art.