48results about How to "Shorten design time" patented technology

The invention discloses a screen cabinet adding method based on BIM and a computer vision technology. The method comprises the following steps: 1) establishing a BIM model template; 2) carrying out 2D visual detection and ROI extraction; 3) acquiring and downsampling 3D point cloud data; 4) processing the downsampled 3D point cloud data by using point cloud correction filtering, including removing point cloud outliers by using an improved DBSCAN algorithm and performing point cloud completion based on a grid method, thereby improving the quality of the point cloud; and 5) registering the point cloud and the BIM model template, and verifying whether the installation space meets the installation requirements of the screen cabinet or not. According to the method, 2D and 3D visual technologies are combined, efficient and accurate space information acquisition and screen cabinet adding feasibility evaluation are achieved, the labor cost is reduced, the design accuracy is improved, and technical support is provided for efficient transformation of the urban power distribution room.

The invention provides a method and device for generating a curve mask test pattern set, a medium, a program product and a terminal. The method comprises the following steps: acquiring a curve mask and measurement path data thereof, and adjusting a line width to generate a first test pattern; positioning an intersection point, constructing a local tangent line, translating the tangent line, and executing a graph removal operation to generate a second test graph; and extracting boundary points around the intersection point, constructing a reference graph based on the intersection point and the boundary points, and generating a third test graph through Boolean operation combination. And finally, combining the three test patterns to form a diversified test pattern set. According to the method, the defects of curve mask test pattern design and verification are overcome, the generation efficiency and precision are remarkably improved, the design time is shortened, and the resolution error in the manufacturing process is reduced, so that the quality and reliability of the test pattern are improved, and the method is suitable for the fields of semiconductor manufacturing, nanotechnology, high-precision photoetching and the like and has wide application prospects.

The invention relates to the technical field of separation devices, and discloses a cyclone separator optimization system and method based on machine learning, and the system comprises a user operation module, a numerical simulation module and a deep learning module. The method comprises the steps that when a user terminal inputs cyclone separator parameters in a cloud platform, a system calls a cyclone separator parameter database; if no corresponding cyclone separator parameter exists in the cyclone separator parameter database, performing analogue simulation calculation according to the cyclone separator parameter input by a user, and establishing a flow prediction model according to a simulation result; the flow prediction model performs prediction according to the simulation result; after the prediction is finished, performing comparison according to a prediction result; and finally obtaining optimized parameters required by the parameters of the cyclone separator, and transmitting the optimized parameters to a user terminal through the cloud platform. According to the method, the separation efficiency of cyclone separators with different designs is predicted, and manpower, material resources, time, cost and the like are saved in actual production.

The invention discloses an intelligent digital generation system based on movie and television animation costume modeling design, which relates to the technical field of artificial intelligence and comprises a database and knowledge base module, a design input module, an intelligent design module, a modeling and rendering module and a virtual reality display module. The database and knowledge base module is used for recording information data of various costume styles, materials and processes to construct a costume design database and knowledge base and supporting retrieval and reuse of design schemes. According to the digital generation system provided by the invention, through an intelligent digital generation process, the costume design time is remarkably shortened, a designer can quickly import concepts and elements, and the system automatically generates a scheme, so that the time and energy required by hand drawing are reduced. And design details are accurately presented by using a computer graphics technology and algorithm, so that the problem of insufficient precision of hand drawing is avoided. AI auxiliary generation of materials is supported, a reuse scheme is retrieved from a database, rich inspiration resources are provided, and a more innovative design is created.

The invention relates to an AC / DC topology scheme design method suitable for an offshore wind power transmission grid-connected scene, and the method comprises the steps: generating all possible topology schemes according to the demands of an offshore wind power transmission project; then, by taking the three typical offshore wind power delivery topology schemes as a reference, dividing the topology schemes into three technical routes, setting corresponding discrimination conditions, and eliminating the topology schemes lacking technical feasibility by using the discrimination conditions; for the topology scheme with technical feasibility, designing components in the topology according to the technical route to which the topology scheme belongs, and forming a plurality of rough technical schemes; respectively carrying out a longitudinal economical efficiency optimization process on each rough technical scheme to form a plurality of optimization schemes; and finally, transverse economical efficiency optimization is carried out on each optimization scheme, and the total cost of all optimization schemes is compared. According to the method, the technical characteristics, applicability and economy of various topology schemes are comprehensively considered, and the design process of the offshore wind power sending scheme can be standardized.

The invention discloses a radiotherapy plan automatic optimization design method based on machine learning, and relates to the technical field of radiotherapy, and the method comprises the steps: firstly collecting and preprocessing radiotherapy core data to generate a training set, training feature extraction, dose prediction and optimization adjustment of a model; processing to-be-processed data through a feature extraction model, screening three optimal similar cases in combination with cosine similarity, and extracting effective features; based on the feature vectors and the effective features, outputting an initial dose plan, constraint parameters and a deposition matrix by a dose prediction model; and finally, constructing a target function, and iteratively optimizing the radiation field parameters and the photon flux by adopting an improved ant colony algorithm and a conjugate gradient method. According to the method, clinical experience and individual differences are fused, the radiotherapy plan is efficiently and accurately generated, and the quality stability and clinical suitability of the plan are improved.

This invention discloses a method and system for designing tunnel smooth blasting charge schemes, relating to the field of tunnel blasting engineering technology. The method includes: collecting and preprocessing basic parameter data required for tunnel smooth blasting design; calculating initial design parameter values ​​for the smooth blasting charge based on smooth blasting design theory and a pre-set parameter calculation model, generating an initial design scheme; inputting the initial design parameter values, cross-sectional geometric parameter data, surrounding rock condition parameter data, explosive parameter data, and historical blasting effect feedback index values ​​into a pre-trained neural network optimization model, outputting optimized smooth blasting charge design parameter values; automatically updating the peripheral hole layout and charge structure in the design scheme based on the optimized design parameter values, generating and outputting the final tunnel smooth blasting charge design scheme. This invention enables intelligent and adaptive design of tunnel smooth blasting charge parameters, improving engineering applicability and molding quality.

The embodiment of the invention discloses a communication equipment deployment method and device, computer equipment and a readable storage medium. The method comprises the following steps: determining a target deployment performance index meeting a target deployment requirement; processing an input data source based on the target deployment performance index by analyzing a neural network, so as to extract fusion features meeting the target deployment performance index from the input data source; and processing the fusion feature through a reinforcement learning network, and determining a target deployment scheme of the communication device in the target area, so that the accumulated reward of the reinforcement learning network determined based on the target deployment performance index is maximized.

The invention discloses a molded line design method and device for an air valve of an engine and the engine, and belongs to the technical field of air valves of engines. Based on the working condition and the parameter sensitivity of the engine, a molded line scheme of a plurality of air valves is generated through mixed horizontal orthogonal test design; performing preliminary screening of molded line schemes based on the surface pressure of the mapping conical surface of the air valve and finite element simulation analysis; based on a dynamic model of the valve mechanism, performing dynamic simulation evaluation and weighted comparison on the molded line scheme subjected to preliminary screening to obtain a molded line scheme subjected to secondary screening; and performing gas circulation performance simulation evaluation on the molded line scheme subjected to secondary screening to obtain a final molded line scheme. The engine gas valve is improved and optimized by comprehensively considering the strength, the wear resistance, the valve seat, the sealing performance and the gas circulation performance of the gas valve; therefore, a standardized and reusable forward development method is provided for the molded line design of the air valve, and the method has both theoretical preciseness and engineering applicability.

The application provides a paper folding design method and system based on a diffusion model and a physical information neural network, and belongs to the technical field of paper folding structures, and comprises the following steps: obtaining point cloud data of a target three-dimensional paper folding shape and corresponding text description information; generating a two-dimensional crease pattern by using a graph diffusion model according to the point cloud data and the text description information, and ensuring that the crease pattern conforms to a specified three-dimensional shape by using conditional coding; and optimizing the two-dimensional crease pattern by using a physical information neural network to obtain a final two-dimensional paper folding diagram. By combining the diffusion model and the physical constraint neural network, high-precision modeling of the crease pattern is realized, it is ensured that the generated pattern can be folded in geometry and physics, and therefore the design efficiency and accuracy are improved.

The application provides an automatic landing method for a power inspection unmanned aerial vehicle in a landing stage, and the main design includes or is based on: 1, a landing gear structure design based on multiple sensors; 2, a judgment logic considering multiple ground contact conditions; 3, an automatic landing method for the power inspection unmanned aerial vehicle in the landing stage, which comprises landing area judgment and landing process sensing, that is, a complete landing detection scheme is provided in the landing-ground contact stage of the power inspection unmanned aerial vehicle, the ground sensor and the unmanned aerial vehicle antenna are integrated on the landing gear, the load of the machine body is reduced, the design complexity is reduced, the design cost and time of the machine body of the unmanned aerial vehicle are reduced, the safety of the unmanned aerial vehicle in the landing-ground contact stage is improved, the cost of the machine body of the unmanned aerial vehicle is reduced, and the inspection efficiency of the unmanned aerial vehicle is improved.

The invention provides a robot body autonomous generation method and system based on artificial intelligence, and the method comprises the steps: carrying out the text coding of the text description of a robot structure, and generating text embedding; according to text embedding, a component generator is used for predicting and generating all components including component types and various attributes through multiple iterations; using a connection relation predictor to predict the connection probability between the components, and screening high-probability connections to form a component connection relation; according to the generated component types and connection relations of the components, father-child connection relations among the components are obtained, the components are connected to father components of the components through joints of the components, various attributes are assigned, a urdf model of the whole robot is formed, and the components in the urdf model are represented by simple geometries assigned by the shape and size attributes of the components; and replacing each simple geometry through a mesh library, and forming a three-dimensional entity model of the whole robot after all the component models are replaced. The robot body can be automatically generated.

The invention provides a frequency selective surface structure design method and device based on a random image generation algorithm, and the method comprises the steps: generating an initial image based on Berlin noise, and sequentially carrying out the Gaussian blur processing and binarization processing of the initial image, and obtaining a black-and-white image; a means for generating a frequency selective surface structure from the black-and-white image; performing simulation calculation on the unit, and determining electromagnetic performance data of the unit; generating a design database according to the units and the electromagnetic performance data of the units; wherein one-to-one corresponding units and electromagnetic performance data of the units are stored in the design database; and determining a target unit from the design database according to a preset demand. According to the scheme, the design time of the frequency selective surface structure is greatly shortened, and the labor cost is reduced.

The invention provides a device structure and process condition optimization method and apparatus, and an electronic device, and belongs to the technical field of computers, and the method comprises the steps of obtaining initial device structure data and initial process condition data; inputting the initial device structure data and the initial process condition data into one or more first performance index prediction models for model training, and screening out target device structure data and target process condition data based on the weight of the initial device structure data and the weight of the initial process condition data in a training result; determining a data pair composed of the first device structure data and the first process condition data as an individual in the population, and determining a first performance prediction result as the fitness of the individual; and solving the multi-objective function based on an NSGA-II algorithm to obtain a Pareto frontier solution set of the population, and taking the Pareto frontier solution set as an optimization result of a device structure and process conditions. The method is used for solving the problems of long design time and high cost in the existing device structure optimization process.

The present invention provides a layout forming method of a test structure, a test structure and a readable storage medium, the method comprising: in a layout, at least two metal layer groups are designed; the metal layer group includes multiple metal layers, and the metal layers in the same metal layer group are provided with the same target pattern; a target metal layer is selected from each of the metal layer groups, and the test structure is formed based on the target pattern in the target metal layer. According to the layout forming method of a test structure provided by this patent, only one layout design of the test structure is required, that is, the performance monitoring under different metal layer selection schemes can be simultaneously met, the test requirements are met to the greatest extent, the design times are saved, and the error rate is reduced.

The present invention belongs to the field of lithium battery technology, and specifically relates to a method for judging the spread of thermal runaway in a lithium battery system and an evaluation method and device thereof. A method for judging the spread of thermal runaway in a lithium battery system, when the net heat absorption of the receptor battery is greater than the net heat absorption threshold of the battery thermal runaway, or when the net heat absorption of the receptor battery is greater than the net heat absorption threshold of the battery thermal runaway and the maximum temperature of the heating surface of the receptor battery is greater than the battery thermal runaway temperature threshold, it is judged that the receptor battery has thermal runaway; the net heat absorption of the receptor battery is calculated by the heat absorbed by the receptor battery from the thermal runaway battery and the heat exported to other batteries. This method uses the net heat absorption of the receptor battery for judgment, and the data is more accurate and effective, avoiding errors in the judgment conditions of the highest temperature or average temperature, and can more accurately reflect the spread of thermal runaway in the lithium battery system.

The present application relates to the technical field of door and window large sample generation in architectural design, and discloses a door and window large sample generation method and system based on BIM, which quickly generates door and window large sample graph element basic data by using the existing door and window type data of a user in architectural plan and elevation design, quickly arranges by using a door and window large sample graph element dynamic arrangement method, provides a series of quick door and window large sample quick modification solutions, solves the problem of quick generation and modification of door and window large samples by the user, and can significantly save the design time of door and window large samples in architectural design.

The application discloses a jet far-field noise control method and device and a computer readable storage medium. The control method comprises the following steps: obtaining all sample points covering the whole design space by using a test design method; performing far-field sound pressure level calculation according to a physical simplified companion Green function to obtain jet far-field noise target functions of all sample points; establishing a correlation model of the jet far-field noise and the inner and outer curve wall surface shape according to the jet far-field noise target functions of all sample points; and searching for an optimal value of the jet far-field noise on the established correlation model with the jet pipe aerodynamic performance as a constraint to control the jet far-field noise. The application can control the jet far-field noise size by modifying the inner and outer curve wall surface without affecting the jet pipe aerodynamic performance, and automatically designs an optimal inner and outer curve configuration without interference, so that the jet far-field noise is minimized, thereby significantly reducing the jet far-field noise evaluation and noise reduction measure design time.

The application provides a bird flapping wing design method based on momentum theorem analysis of factors influencing lift, which comprises the following steps: firstly, determining basic thrust and lift design constraints according to task requirements; secondly, according to the momentum theorem, converting design parameters influencing the thrust and lift into contributions to the horizontal thrust and vertical lift of the flapping wing, and screening the design parameters according to the constraints; considering the influence of power consumption, determining corresponding design measures for reducing the power consumption; analyzing the realizability of the design measures to obtain the design parameters and corresponding design measures considering the realizability; sorting the importance of the design parameters, optimizing the design measures of the corresponding design parameters, and obtaining the preliminary design scheme of the bird flapping wing. The application converts complicated design constraints into simple requirements for the thrust and lift of the flapping wing, greatly shortens the design time of the flapping wing vehicle for different flight requirements, standardizes the overall design idea of the flapping wing, and has high theoretical support and engineering practical significance.

The utility model discloses a touch chip module structure. The touch chip module structure comprises a first chip pad array and a second chip pad array, the first chip pad array and the second chip pad array are arranged front and back according to a first slope to form a first inclined array; the first chip pads in the first chip pad arrangement and the second chip pads in the second chip pad arrangement are arranged in a staggered manner and incline towards a first direction, and the first direction is perpendicular to the first slope. The chip pads in the first inclined array and the second inclined array are respectively inclined towards the first direction and the second direction and are vertical to respective slopes, and the front chip pad and the rear chip pad are arranged in a staggered manner, so that during wiring, the chip pads can be directly and vertically led out from a connecting end without winding, the design time is shortened, the wiring resistance is also reduced, and the charging efficiency is improved.

The utility model discloses a kind of 2.5D line sweep coaxial program-controlled light source, comprising: light source shell, the installation space is formed inside the light source shell, and the detection port and the light outlet of oppositely arranged are set on the light source shell;Between the detection port and the light outlet, there is a beam splitter, the beam splitter is obliquely inserted in the inside of the light source shell;The lower side of the beam splitter is sequentially provided with transparent plate, diffusion film, diffusion plate and LED lamp plate from top to bottom;Control surface circuit board fixed in the installation space and the driving circuit board connected with control surface circuit board, the driving circuit board is connected with the LED lamp plate.The utility model realizes the combination of 2.5D program-controlled line sweep light source and coaxial light source, can effectively improve the quality of light source detection and meet the detection needs of different products and scenes.

The invention relates to the technical field of planar transformers, solves the technical problems that a traditional power module is low in integration level and reuse rate, long in development and design period, high in cost and low in yield, and particularly relates to a planar transformer structure of an integrated control chip. Comprising a planar transformer PCB (printed circuit board), a transformer magnetic core and a patch area reserved outside the planar transformer magnetic core on the planar transformer PCB, a control chip is integrated on the patch area, and the planar transformer PCB and the transformer magnetic core are selectively combined on a power supply bottom plate module to form a power supply module structure. In addition, the crystal nucleus of the control chip can be arranged in the PCB corresponding to the patch area. The power density of the power supply module can be improved, the complexity of production and processing of the power supply module is reduced, design replacement of a chip according to an application scene of the power supply module is facilitated, and the relatively independent processing technology can improve the yield of products and shorten the design time.

The utility model discloses a welding fixture adjusting mechanism which is characterized by comprising a fixing plate and an adjusting plate. The fixing plate is in an L shape, a connecting hole is vertically formed in the fixing plate, and a first groove hole and a second groove hole are horizontally formed in the fixing plate. A locking hole and a positioning hole are vertically formed in the adjusting plate, and a threaded hole is horizontally formed in the adjusting plate; the height adjusting shim is arranged below the adjusting plate; and the adjusting shim is arranged between the fixing plate and the adjusting plate. The welding fixture is simple in structure, reasonable in design and accurate in positioning, the workpiece positioning and clamping mechanism can meet the position requirement of the relative size by increasing and reducing the number of adjusting gaskets and height adjusting gaskets in the adjusting mechanism, operation is convenient and fast, the design time of the welding fixture is saved, and the machining and manufacturing cost is reduced.

The invention relates to the technical field of garment production, in particular to an automatic production method of a horse face skirt, which comprises the following automatic production steps: S1, inputting the characters of the pattern style of the horse face skirt into a background computer terminal, and automatically generating the pattern styles of the horse face skirt with various designs by the background computer in an AI big data mode; and S2, a designer selects an excellent and attractive design according to the pattern style designed by AI, and modifies and perfects the design on the basis to form a design drawing of the pattern style of the horse surface skirt. According to the invention, the image acquisition equipment is used for acquiring processing procedures, uploading the processing procedures to the background computer for analysis and checking whether errors exist or not, and if the errors exist, an alarm is given to warn people in time, so that people stop the equipment and adjust parameters, the processing efficiency can be greatly improved, the errors are reduced, and the working efficiency is improved. And the market requirements can be better met.

The invention relates to a chiral modification performance prediction method and device, computer equipment, a computer readable storage medium and a computer program product. The method comprises the following steps: obtaining quantum dot demand information, chiral molecule demand information and synthesis path demand information of a to-be-modified quantum dot; and based on the quantum dot demand information, the chiral molecule demand information and the synthesis path demand information, predicting a chiral modification process of the to-be-modified quantum dot, and determining a target chiral quantum dot obtained after chiral modification and a target chiral modification performance prediction value of the target chiral quantum dot. By adopting the method, the chiral modification cost of the quantum dots can be reduced.

The invention provides a rapid mold generation method based on large model data application. The method comprises the following steps: acquiring engineering data information of a to-be-generated mold, matching the engineering data information with mold product instances in a database, if matching succeeds, outputting the successfully matched mold product instances, and if matching fails, executing the following steps: extracting a DL line from DL data of the to-be-generated mold; identifying a reference line matched with the DL line from the reference line sample set; obtaining a reference coordinate position of a part associated with the matched reference line in the to-be-generated mold; and calling a virtual model of the matched part associated with the reference line from the database, and placing the virtual model according to the reference coordinate position. The production speed and efficiency of the mold are improved, and the mold design time is further saved.

The invention provides an intelligent die-casting manufacturability analysis method and device. The method converts a casting model into a triangular mesh and calculates structural features. And solving a candidate set in the draft direction through the triangular mesh. Aiming at each mold pulling direction, a mold opening available area, a mold opening lack area and a mold opening incapability area are determined; and determining a candidate area of each to-be-arranged sliding block and a core pulling direction of the candidate area on the basis of the under-mold-opening area and the non-mold-opening area. And constructing each manufacturability index of the added sliding block based on the content, analyzing a plurality of manufacturability index results of each sliding block loose core by utilizing a scoring model, generating an analysis report and outputting the analysis report. According to the method, material attributes, geometric structure characteristics, a draft scheme and specific die-casting forming process conditions of a casting are comprehensively considered, and the draft scheme design is taken as a core, so that evaluation and optimization of the draft scheme are realized. Therefore, the automation degree of the die-casting product draft scheme design process is greatly improved, the scheme design time consumption is remarkably reduced, and the operation difficulty is effectively reduced.

The invention provides a leg shape intelligent identification method and device, electronic equipment and a storage medium, and relates to the technical field of human body measurement, clothing fitness and computer application. The method comprises the following steps: acquiring key feature parameter values of a to-be-identified leg object; and inputting the key feature parameter values into a trained support vector machine classification model to obtain a target leg type category to which the to-be-identified leg object belongs and a girth size category under the target leg type category.

The present invention provides a small flow anti-surge valve core structure for a pressure regulator, which belongs to the technical field of gas pressure regulating equipment in a gas transmission and distribution system. The small flow anti-surge valve core structure for a pressure regulator includes a valve body, a gas flow channel formed by a valve port or a valve seat arranged in the valve body, and a valve core arranged in the valve body and movably plugged into the flow channel; the flow channel is a vertical through hole with a consistent inner diameter, the valve core is in the shape of an inverted frustum, and the diameter of the top surface of the inverted frustum matches the inner diameter of the flow channel; the small flow anti-surge valve core structure for a pressure regulator of the present invention designs the valve core in the shape of an inverted frustum, so that the actual opening of the pressure regulator at a small flow rate is greater than the original required opening, so that the pressure regulator avoids the most unstable position and prevents frequent surges in the small flow range. The present invention also provides a method for calculating the size of a small flow anti-surge valve for a pressure regulator. The final calculation formula obtained by this method is simple, and the valve core shape and size suitable for the pressure regulator can be quickly and accurately calculated, which can greatly save the time for valve core size design.

The present invention proposes a tool body definition method based on feature recognition, comprising the following steps: inputting a sheet metal model; obtaining the current sheet metal model process type, and identifying the corresponding tool body type according to the current sheet metal model process type; and identifying the line and surface features corresponding to each tool body type according to the tool body type corresponding to each process type; defining and naming the line and surface features according to the process type and the corresponding tool body type according to the naming rules, and classifying and packaging them according to the sheet metal model process type, and storing them in a tool library. The tool body definition method based on feature recognition can effectively improve the quality and efficiency of the sheet metal forming simulation design of automobile cover parts, wherein the naming rules based on automatic recognition of the tool body are the process tool body automatic definition rapid design, which greatly shortens the design time and reduces process design anomalies.