198results about How to "Improve design quality" patented technology

The invention discloses a conflict detection processing method and system based on a BIM model, a medium and a product, and relates to the technical field of constructional engineering, and the method comprises the steps: obtaining a construction project design scheme; based on a preset model framework, determining a BIM model according to the construction project design scheme; predicting potential conflict points in the BIM model based on a preset conflict mode library; matching the potential conflict points with the building structure, the electromechanical pipeline and the equipment layout by using a space mapping algorithm, and determining possible conflict areas; on the basis of a natural language processing technology, operable solution suggestions are generated according to the possible conflict areas; after the operable solution suggestions are sent to the user, the solution suggestions determined by the user are received; and adjusting the BIM model based on the solution suggestion. By implementing the method, the accuracy and intelligence of conflict detection can be improved.

A hydraulic engineering video monitoring intelligent stationing optimization design method based on a three-dimensional model realizes video monitoring intelligent stationing planning design based on a mode of combined development of a three-dimensional modeling platform and a BIM lightweight engine. The method comprises five stages of camera adaptive arrangement, monitoring area three-dimensional visualization, monitoring coverage check, design optimization and design result display output. According to the method, the overall planning of the video monitoring intelligent stationing of the water conservancy and hydropower engineering is enhanced, the advantages and disadvantages of the video monitoring stationing are scientifically and quantitatively evaluated, and a quantifiable video monitoring intelligent stationing planning scheme is provided. According to the method, the requirements of the current video monitoring distribution point and the monitoring coverage rate are combined, a monitoring model optimization algorithm is utilized, the monitoring coverage rate or the camera configuration is taken as an optimization target, the monitoring coverage rate is improved, the monitoring blind area range is reduced, monitoring redundancy setting is avoided, and the monitoring camera configuration is optimized.

The invention provides a computer-aided slide-resistant pile and anchor cable build-in depth design method, and relates to the technical field of slide-resistant pile and anchor cable design, and the method comprises the following steps: collecting drilling data of an engineering site, and establishing a three-dimensional geologic model containing spatial distribution of each soil layer; determining a feasible range of design parameters; according to the soil layer space distribution and parameters, a slope stability analysis model considering the supporting effect of the slide-resistant piles and the anchor cables is established and used for calculating the slope stability safety coefficient under the given design parameters; and taking the minimum construction cost as a target function, determining an optimization constraint condition according to the slope stability analysis model, carrying out iterative optimization on the design parameters in a feasible range by adopting an optimization algorithm until an optimization convergence condition is met, and outputting an optimal design parameter. The problems that a traditional design method excessively depends on experience, multiple influence factors are difficult to consider, and the calculation efficiency is low can be solved, and the design level of the built-in depth of the slide-resistant pile and the anchor cable is improved.

The invention provides a three-dimensional pipeline support hanger batch plotting method and device, and the method comprises the steps: obtaining model data of a selected plotting three-dimensional pipeline support hanger, supplementing and matching material information data and inputting self-defined data, and carrying out the conversion to form final three-dimensional pipeline support hanger model output data; and outputting data based on the three-dimensional pipeline support hanger model, matching and replacing data in a standard drawing template, and generating a finished product support hanger construction drawing. The overall drawing efficiency of the support hanger can be improved, the workload of manual drawing is reduced, human errors are reduced, the design process is optimized, and the design efficiency and quality are improved.

The invention discloses a cultural and creative design auxiliary system based on element fusion, which is arranged on a server and comprises an element processing module used for extracting design elements and processing and sorting the design elements; the classifying and screening module is responsible for classifying and screening to form different element categories; the creative fusion module fuses elements to generate a design scheme by using an intelligent algorithm and a user interaction interface; the design optimization module carries out fine processing on the design scheme; and the design output and display module outputs the design scheme into various formats, and provides virtual reality VR and augmented reality AR display technologies. According to the method, through automatic extraction and processing of design elements, intelligent classification and screening, auxiliary creative fusion, fine optimization and diversified output, the design efficiency and quality are remarkably improved, meanwhile, creative diversity and novelty are promoted, the workload of designers is reduced, and the innovation and market response speed of creative products is increased.

The invention provides a mold optimization design method for an integrally-formed septic tank, and relates to the technical field of data processing, and the method comprises the following steps: obtaining a target production demand, and determining a predetermined mold production scheme; performing mold region division to obtain a plurality of predetermined regions; an initial mold is obtained, injection molding of a plastic raw material is carried out, and an initial integrally-formed septic tank, a plurality of pressure data sequences and a plurality of temperature data sequences are obtained; performing pressure distribution characteristic analysis to generate a pressure distribution characteristic analysis result; performing temperature distribution characteristic analysis to generate a temperature distribution characteristic analysis result; a three-dimensional model is constructed for surface quality detection and analysis; based on the non-uniform pressure area, the non-uniform temperature area and the surface defect area, a preset mold production scheme is optimized, and an optimized mold production scheme is obtained; and carrying out mold production. The technical problem that a traditional mold optimization method often depends on experience and trial and error, and the overall quality of mold design and production cannot be effectively improved is solved.

The invention relates to the technical field of sweater model simulation, in particular to a model simulation method and system for digital spinning of sweaters. The method comprises the following steps: obtaining a to-be-designed user omni-directional image, textile raw material multi-scale parameters and a textile process log; analyzing geometric morphology parameters of the user omnibearing image to be designed, performing three-dimensional geometric point cloud modeling, and constructing a user three-dimensional morphology model; performing physical characteristic parameter analysis on the multi-scale parameters of the textile raw materials, and performing deep parameter characteristic mining to obtain multi-scale state characteristics of the textile raw materials; and performing external mechanical deformation response analysis and internal fiber elastic response analysis based on the multi-scale state characteristics of the textile raw materials to generate external mechanical deformation response data of the textile raw materials and internal fiber elastic response characteristics of the textile raw materials. According to the invention, personalized and visual user try-on simulation is realized through sweater model simulation, and the production efficiency of spinning sweaters is improved.

The invention discloses a hierarchical power electronic circuit layout method based on reinforcement learning, which belongs to the field of integrated circuits and mainly comprises three levels of element sequence generation, layout optimization and wiring optimization. The method comprises the following steps: firstly, analyzing the power flow direction of a power electronic circuit, and reasonably arranging an element layout sequence, so as to realize basic optimization from a top layer; then, on the basis of the element sequence, a convolutional neural network is used for extracting layout features, a graph convolutional neural network is used for extracting graph features of a circuit connection relation, specific design rules of the power electronic circuit are embedded into a reinforcement learning reward system, and a deep Q network (DQN) is used for achieving layout of elements; through reinforcement learning, the intelligent agent can summarize experience in trial and error without human intervention, and finally a reward maximized layout result is generated.

The embodiment of the invention discloses a quality evaluation method for a cloud service architecture, which is used for improving the design quality of the cloud service architecture. The method comprises the steps that a cloud architecture diagram is displayed, the cloud architecture diagram represents a cloud service architecture, the cloud architecture diagram comprises a first cloud primitive and a second cloud primitive, the first cloud primitive corresponds to a first cloud service, the second cloud primitive corresponds to a second cloud service, and the first cloud service and the second cloud service in the cloud service architecture have an integration relationship. And according to at least one of the following information: types of the first cloud service and the second cloud service, communication modes of the first cloud service and the second cloud service, and communication contents of the first cloud service and the second cloud service, evaluating an integration relationship between the first cloud service and the second cloud service. And displaying an integration relationship evaluation result of the first cloud service and the second cloud service to the user.

The invention discloses a design method for a steel bar component. According to the method, a large amount of historical design data can be quickly processed and analyzed through the machine learning model, and key factors influencing axial force reinforcement calculation are automatically identified, so that the calculation efficiency is improved. The machine learning model automatically completes calculation through an algorithm, and errors in the calculation process are reduced. The fully trained machine learning model can accurately predict the reinforcing steel bar area based on the input parameters, and the design accuracy is improved. A machine learning model can discover a hidden relationship between data by analyzing historical data, which is particularly important for reinforcement calculation caused by axial force because the axial force is related to various factors, such as structure size, material characteristics and the like. Machine learning is applied to the reinforcement calculation process caused by the axial force, the intelligent level of design can be remarkably improved, the design efficiency and quality are improved, and meanwhile powerful technical support is provided for cost optimization.

The invention belongs to the technical field of product intelligent design, and particularly relates to a product design auxiliary system and method based on big data. According to the method, the potential design direction on the market is quickly identified through big data analysis and calculation, so that the design period is shortened, the design efficiency is improved, the risk of blind design is reduced based on market popularity data and similarity analysis, it is ensured that the designed product better meets the market demand, and the market competitiveness is improved. Through weight analysis of local features and overall features of a product, it is ensured that a design scheme is more comprehensive and reasonable, through support of big data, the designed product better meets the market trend and consumer demands, the market competitiveness of the product is enhanced, the design process is more scientific and data-driven by using the big data technology, and the design efficiency is improved. According to the method, the uncertainty caused by subjective judgment is reduced, the provided reference three-dimensional product data can provide valuable reference basis for subsequent detailed design and production, and the efficiency and quality of the whole product development process are improved.

The invention provides a design method of a variable-size variable-density lattice structure wing with optimized heat dissipation load, and relates to the technical field of aerospace engineering, and the design method comprises the following steps: S10: carrying out variable cross-section design on a D-type unit to obtain a variable cross-section D-type unit, taking the variable cross-section D-type unit as a lattice unit configuration, and filling the wing to form a skin lattice structure; the skin lattice structure of the wing comprises a skin and a lattice filling area; s20, cell element variable-size design is adopted for the dot matrix units, and variable-size dot matrix units are constructed; s30, according to the stress field of the wing, cell element variable-density design is adopted for the variable-size dot matrix units, and variable-size variable-density dot matrix units are constructed; and S40, establishing a wing configuration. The variable-cross-section D-type unit is used as a dot matrix unit configuration, deep coupling of integrated design of heat dissipation and bearing performance is achieved through variable-size and variable-density design, application scenes are flexibly adjusted, and complex working condition requirements are met.

The invention provides an AI-based underground pipe network electrical drawing generation method and system, and relates to the technical field of artificial intelligence, and the method comprises the steps: carrying out the feature extraction and fusion of a design demand text, a reference drawing and an engineering file; generating a three-dimensional position distribution thermodynamic diagram through the layout generation network; generating a network learning space connection relationship through the connection relationship; generating an initial drawing through the detail optimization network; and generating a final drawing by adopting multi-discriminator collaborative verification. According to the method, the underground pipe network electrical drawing conforming to the specification can be automatically and efficiently generated, and the design efficiency and quality are improved.

The invention provides an automatic layout method for electronic components of a circuit board, and the method comprises the steps: exporting functional modules in a schematic circuit diagram into an independent circuit netlist, carrying out the layout modeling of the components through employing a single-layer binary tree structure, and carrying out the layout modeling of the whole circuit based on a multi-layer binary tree structure. Therefore, a multi-layer nested binary tree structure is formed. An optimization algorithm is combined with a heuristic strategy, and circuit performance parameters such as wire length, layout area and signal integrity are used as optimization targets to carry out iterative optimization on the layout model. And automatically generating a detailed layout scheme of the circuit board according to the optimized layout model. Before layout, preprocessing of a schematic circuit diagram is carried out, after layout, verification of a layout scheme is carried out, and it is ensured that all design constraints are met. The circuit board design efficiency and quality can be remarkably improved, the workload of manual adjustment is reduced, the risk of design reworking is reduced, and the automatic design level is improved.

The invention discloses a wheel design evaluation method and a wheel design evaluation system based on model simulation, and belongs to the technical field of wheel design evaluation. According to an existing wheel evaluation scheme, an initial wheel structure needs to be obtained firstly, then wheel optimization can be carried out, and the wheel design evaluation efficiency is affected. According to the wheel design evaluation method based on model simulation, the wheel design acquisition model, the simulation wheel generation model, the numerical simulation model and the wheel evaluation model are established, and the wheel design can be directly evaluated according to the two-dimensional wheel design image, so that the wheel design evaluation efficiency is effectively improved; and the wheel research and development design period is shortened. Furthermore, by applying the method provided by the invention, an industrial designer can evaluate the engineering performance of the two-dimensional wheel design in time, so that an optimal concept design scheme can be directly screened out, and the wheel design scheme can be improved according to an evaluation result, thereby effectively improving the wheel design quality and reducing the wheel research and development time.

The invention belongs to the technical field of reliability analysis, and discloses a structural mechanics reliability analysis method for a container mobile laboratory. Comprising the steps of obtaining container load data and container basic data, and establishing a container finite element model based on the container load data and the container basic data; based on the finite element model of the container, acquiring a unit stress field and a deformation amplitude of the container; determining a failure mode of the container finite element model based on the unit stress field and the deformation amplitude, and calculating a reliability index of the failure mode; and based on the failure mode and the corresponding reliability index, calculating the failure probability of the failure mode, and sending the failure probability to the reliability analysis terminal, so that the design quality, the use safety and the reliability of the container mobile laboratory are improved.

The invention discloses centralized photovoltaic one-key mapping and automatic identification and adjustment software, and belongs to the technical field of photovoltaics. Comprising a data acquisition module, a one-key mapping module, an automatic identification module, an adjustment optimization module and a user interaction module. The data acquisition module is in communication connection with the photovoltaic monitoring equipment and acquires data of a photovoltaic power station in real time; the one-key mapping module automatically generates a layout diagram of a photovoltaic array according to the data of the photovoltaic power station acquired by the data acquisition module, and automatically draws an electrical wiring diagram of the photovoltaic power station according to an electrical design specification and the data of the photovoltaic power station acquired by the data acquisition module; the automatic identification module analyzes the data of the photovoltaic power station acquired by the data acquisition module in real time, and automatically identifies a fault component in the photovoltaic power station through a preset algorithm and a threshold value; and the adjustment and optimization module provides maintenance suggestions for the fault component according to the result of the automatic identification module, and optimizes and adjusts the operation parameters of the photovoltaic power station at the same time.

The invention relates to the technical field of three-dimensional model review, in particular to a two-dimensional and three-dimensional model collaborative review system and method. Wherein the import and configuration module opens a dwg file, imports the dwg file into an S3D working space, and adjusts the proportion, rotation relation, coordinate system, coordinate, layer and comparison tolerance of a two-dimensional graph according to a model relation with a three-dimensional space; the three-dimensional model contour line drawing module calls an API of S3D to obtain the type of a three-dimensional model, redraws a three-dimensional model contour line on a two-dimensional drawing, and marks the relative elevation value of the contour line; and the comparison and marking module calls a cad interface to compare the coordinate value of the contour line of the three-dimensional model with the coordinate value of the two-dimensional graph. According to the method, the contour line is redrawn through the three-dimensional model, compared with the two-dimensional drawing and then reloaded to the three-dimensional space, a designer can rapidly position the positions, inconsistent with the drawing, of the model according to marks and rapidly modify the three-dimensional model, and finally related records are stored in a database and a server for tracing.

The invention discloses an implementation system and method for parametric modeling and construction drawing drawing of a truss trestle in the technical field of auxiliary building design, and the implementation system and method are implemented based on a Y-GAMA platform, and the implementation method comprises the steps: obtaining control parameters input by a user; on the basis of the control parameters input by the user, a truss trestle component model is established in combination with a pre-manufactured card bag; the truss trestle component model is endowed with structural attributes, parametric modeling load guiding is completed, and a three-dimensional model is generated; after components of the three-dimensional model are classified, the components are projected to a view plane to form an arrangement diagram; performing linear labeling and geometric transformation on the arrangement diagram to generate a construction drawing; and parameterized node design and node construction drawing drawing are carried out on the construction drawing. According to the method, the innovation of trestle design work in the industrial building field is greatly promoted, the design period is remarkably shortened, the design quality is improved, and errors and omission caused by manual operation are avoided.

The invention provides an airport engineering BIM (Building Information Modeling) forward design method based on a general data environment, which belongs to the technical field of digital construction of airport facilities and comprises the following steps of: customizing a design workspace into the general data environment; drawing a design object in the design work space, and generating geometric information of a design element object; calling design element information to associate the design element information to the design element object, wherein the design element information is stored in the general data environment; judging whether abnormal information exists in the design object or not according to a design standard; and if the abnormal information exists, positioning the abnormal information, modifying the geometric information according to the abnormal information and the positioning of the abnormal information, and / or modifying the design element information and updating a general data environment. The invention further provides an airport engineering BIM forward design device based on the general data environment, electronic equipment and a storage medium. By the adoption of the technical scheme, the technical problems that in the prior art, airport engineering BIM design is large in workload and low in efficiency can be solved.

The invention provides a Walker constellation orbit parameter optimization method and device, equipment and a medium, and relates to the technical field of spaceflight, and the method comprises the steps: obtaining a plurality of first alternative parameter values of a to-be-optimized first orbit parameter item of a Walker constellation; and for any first alternative parameter value of the first orbit parameter item, optimizing a second alternative parameter value of a to-be-optimized second orbit parameter item of the Walker constellation, and continuously calling the orbit simulation model in the optimization process to output an evaluation result corresponding to the second alternative parameter value until the second alternative parameter value corresponding to the optimal evaluation result is determined, obtaining a parameter value combination; and screening out a first target parameter value and a second target parameter value from the plurality of parameter value combinations according to the evaluation result. According to the method, the workload of designers is effectively reduced, the problem of incomplete optimization caused by individual differences of the designers is solved, and the design efficiency and the design quality in the constellation argumentation stage are effectively improved.

The invention discloses an intelligent measurement and control device and an industrial design application method, and the key points of the technical scheme are that the method comprises the construction and application of an AIGC agile industrial design model, a man-machine collaborative design process, the construction of an application normal form of an industrial product generation scene, a model optimization decision based on cognitive analysis, and the research and verification of an application case. According to the AIGC model, the design efficiency and innovativeness are remarkably improved by rapidly generating and optimizing a design scheme; through accurate demand analysis and optimization decision, it is ensured that the design scheme is highly consistent with user expectation, and the user satisfaction degree is improved; an agile design method and multiple iterative optimization ensure that the design process is efficient and accurate, and the design quality and reliability are improved; a design scheme is rapidly generated and optimized, the product development period is effectively shortened, and the market response speed and competitiveness of enterprises are improved.

The invention discloses a solder resist windowing exposed line inspection method and device, an intelligent terminal and a storage medium. The method comprises the following steps: putting a PCB (Printed Circuit Board) needing to be inspected into a specified inspection station; a pre-written Skill program is controlled to be started to traverse the PCB needing to be checked, and all solder resist windows on the PCB are traversed; judging whether wires, copper sheets and / or via holes at all the solder resist windows on the PCB fall into the solder resist windows or not; and when it is detected that the wiring, the copper sheet and / or the via hole on the PCB cannot correctly fall into the defined solder resist window, recording coordinates, and generating and outputting a violation item report. The working efficiency and accuracy are greatly improved, and the design quality can be improved.

The invention provides a Grid cutting-based power supply integrity rapid analysis method and apparatus. The method comprises the steps of determining a target network; adding a port on the target network; performing Grid cutting on the target network; respectively extracting S parameters of the cut layout; and cascading the sub-modules to obtain a final S parameter. The integrity of the power supply network can be rapidly and accurately analyzed, the analysis efficiency is improved, and the cost is reduced.

The invention relates to the technical field of power equipment bracket model and drawing design, in particular to a Revit-based power equipment bracket model and drawing integrated parameterization design method, which comprises the following steps of: S1, creating a parameterization component family by using Revit software; s2, creating an equipment bracket model by using each parameterized component family; s3, creating a drawing view for the model needing drawing detail display; s4, creating a drawing including a model drawing view, a detailed statement and the like, and forming a standard item of the equipment bracket; and S5, adjusting global parameters of the equipment bracket standard items to relevance modify the size of each component, and performing linkage change of the three-dimensional model and the two-dimensional drawing. According to the method, the power equipment support model and the drawing are integrated, the model is provided with the design drawing, three-dimensional forward design of the equipment support is rapidly achieved through parameterization control, the made standard project can be repeatedly applied to diversified power transformation engineering equipment supports, and the design efficiency and quality are remarkably improved.

The invention relates to a turbine cooling blade integrated design and analysis platform, an external heat exchange module, an external heat exchange correction module, an internal heat exchange module and a temperature field module are deployed at a server side, the external heat exchange module is used for calculating a gas heat exchange coefficient and a gas recovery temperature by using an external heat exchange solver according to original data of a turbine cooling blade, and the internal heat exchange module is used for calculating a gas recovery temperature by using an internal heat exchange solver according to the original data of the turbine cooling blade; obtaining external heat exchange boundary conditions; the outer heat exchange correction module is used for combining the outer heat exchange boundary conditions and the air film hole parameters, and solving air film parameter information by utilizing an air film cooling program solver to obtain outer wall surface heat exchange boundary conditions; the inner heat exchange module is used for constructing a network topological graph of cold air flowing in the blade and calculating the pressure, temperature and heat exchange coefficient of each element in the network topological graph to obtain a temperature field boundary condition; and the temperature field module is used for calculating the temperature distribution of the turbine cooling blade by utilizing a temperature field solver. According to the embodiment, the design efficiency of the turbine cooling blade is improved, the design quality is improved, and meanwhile the design cost is reduced.

The invention provides a method for predicting the discharge voltage of a grading ring to a ground air gap, and the method comprises the steps: defining an effective electric field region of the grading ring to the ground air gap, calculating the electric field distribution of the effective electric field region, extracting the electric field distribution characteristics of the effective electric field region, and constructing a voltage prediction model based on BPNN. The method comprises the steps of selecting electric field distribution characteristics on the basis of an MIC (Maximum Information Coefficient), constructing a data set, training a voltage prediction model through an ISSA algorithm (multi-strategy improved salp group algorithm) on the basis of the data set, and predicting the ground air gap discharge voltage of the grading ring on the basis of the trained voltage prediction model. According to the method, reference can be provided for safety and economical efficiency of design and installation of the converter station valve hall fitting grading ring in actual engineering, and the design reliability is improved.

The invention discloses an intelligent design method for an overhead power transmission line foundation, which belongs to the technical field of power transmission engineering, and comprises the following steps: automatically extracting information such as tower positioning and meteorological data in a three-dimensional line model, carrying out intelligent calculation on tower load of the whole line, and generating line hanging point load of tower position by tower position; furthermore, internal force of all rods is calculated based on tower finite element analysis, basic acting force files of all tower legs of all nominal heights are formed, in the aspect of basic design, batch import of geological data, intelligent merging of basic acting force and construction and optimization design of a universal basic library are achieved, and therefore the design process is simplified, and the design precision and efficiency are improved. According to the method, the data of the towers in the three-dimensional line model can be extracted, and intelligent calculation and lean output of the loads of the towers on the whole line can be carried out in combination with the use conditions of the towers.

The invention discloses an assembly type parameterization design system and method for a low-temperature circulation rapeseed dryer, and relates to the technical field of mechanical design. The system comprises a tempering layer design module, a drying layer outer design module, a drying layer inner design module, an elevator design module, a supporting steel frame and grain discharging mechanism design module, a ladder and guardrail design module, a general assembly module, a model design module and a file storage module. The method comprises the steps that a required design model is selected, overall height parameters, loads and the number of groups of the dryer are given, and a system automatically stores and operates a recommendation algorithm to update layer number design parameters; selecting a design mode; designing parts and sub-assemblies according to the selected mode; updating the sketch and generating components; after component design is completed, general assembly design is carried out, and a dryer general assembly body is automatically generated; storing the file; and generating and storing a two-dimensional diagram. The design process of the dryer is effectively standardized, the design time of the dryer is shortened, and the design efficiency and quality are improved.

The invention provides a ship transition skew design system and method, and the system comprises a data acquisition and analysis module which obtains a ship three-dimensional design model, and automatically extracts the geometric information of a plate and the process attribute information of a butt joint boundary from the ship three-dimensional design model; the rule management database is used for storing transition skew discrimination rules and a design rule base; the judging module is used for judging a target docking boundary needing to be provided with a transition slope according to a judging rule; the parameter design module is used for automatically calculating and generating corresponding transition skew geometric parameters for each target docking boundary; and the model updating module is used for modifying the ship three-dimensional design model according to the transitional oblique geometric parameters. The system integrates discrimination rules and design specifications, and reduces the dependence of design on designers, reduces errors caused by human experience and improves the design quality when the transition skew parameters are judged and calculated.