443 results about "Design technology" patented technology

The invention discloses a wing design optimization method based on agent-assisted multi-initial-point simulated annealing, and belongs to the technical field of optimization design. Comprising the steps of 1, initializing algorithm parameters and a training data set; 2, constructing an agent model; 3, executing multi-initial-point parallel simulated annealing, and generating a batch of candidate new solution sets; 4, executing a double-elite active learning strategy based on the new solution set, screening the most potential sample to carry out real evaluation, and updating the agent model; 5, cooling the temperature and reducing the step length; 6, judging whether the cumulative evaluation times of the expensive objective function reach the set maximum evaluation times or not; if not, returning to the step 2; if yes, optimization is stopped; and finally, traversing the training data set, and selecting a sample point with the minimum real objective function value as a global optimal solution. According to the method, a multi-initial-point parallel simulated annealing search mechanism and a double-elite active learning strategy are combined, and the global optimal solution is quickly approached under the limited simulation times.

The invention relates to the technical field of mining engineering and geotechnical engineering support design, and discloses a roadway anchor rod group support parameter intelligent optimization method based on unbalanced force, and the method comprises the steps: building a surrounding rock finite element model, calculating a plastic stress increment through employing a minimum plastic complementary energy principle, and mapping the plastic stress increment into a node unbalanced force vector; an unbalanced force field reflecting reinforcement requirements is constructed, and an initial scheme is generated according to the unbalanced force field. Then, a virtual anchor rod unit is introduced to establish a nonlinear coupling model, an incremental balance equation is solved, and whether the unbalanced force is smaller than a threshold value or not is judged; if so, outputting an optimal parameter; otherwise, a comprehensive objective function containing safety and economy is constructed, new parameters are obtained through searching and decoding by means of the particle swarm algorithm, and the virtual anchor rod unit is re-entered for calculation to form a closed loop until convergence is achieved. According to the method, intelligent optimization is driven through a physical mechanism, the problem that a traditional design lacks a mechanical basis is solved, and accurate optimization of support parameters is achieved.

The invention relates to the technical field of aero-engine aerodynamic optimization and computer aided design, and discloses a response surface modeling-based aero-engine low-pressure turbine blade leading edge model numerical optimization design method and structure. According to the method, the wake injection angle is changed by adjusting the flow or the rotating speed of a rotor, accurate matching of Klebanoff stripes and large-scale vortex generation opportunities is achieved, stripe impact is promoted, and large-scale vortex fracture is accelerated; and meanwhile, by constructing a blade front edge modeling parameterization model and establishing a response surface agent model of a modeling design variable parameter combination and a boundary layer velocity mean square error, an optimal design variable parameter combination is determined in a constraint domain by taking maximization of the velocity mean square error in a boundary layer as a target. On the premise that the blade profile load is not changed, the momentum thickness and the total pressure loss of the boundary layer are effectively reduced, the design efficiency and the engineering applicability under the working condition of the low Reynolds number are improved, an additional flow control structure does not need to be introduced, and the structure is simple and easy to implement.

The invention discloses an airflow organization optimization design system and method based on a clean room tuyere, and relates to the technical field of clean room tuyere design, the system comprises a digital twin model construction module, a real-time data acquisition module, a problem identification module, a parameter simulation optimization module and a pre-debugging scheme output module; according to the method, the digital twin model of the clean room is constructed through computer-aided design and linked with real-time operation data, conversion of airflow organization optimization from static design to dynamic response is achieved, the problem that in the prior art, an optimization scheme is disjointed with an actual operation scene is solved, and by automatically recognizing problematic tuyeres and simulating and optimizing a parameter adjustment scheme, the optimization efficiency is improved. Traditional blind debugging depending on manual experience is replaced, repeated trial and error are avoided, the debugging accuracy and efficiency are improved, stable maintenance of cleanliness indexes of the clean room is guaranteed, meanwhile, the influence of the debugging process on the production progress is reduced, and powerful support is provided for efficient and reliable operation of the clean room.

The invention discloses an industrial master conceptual design method and equipment based on a knowledge graph and MBSE, and belongs to the technical field of industrial design. According to the method, the powerful semantic comprehension and generation capability of a large language model is combined with accurate and reliable knowledge of a knowledge graph and a vector database by utilizing RAG, so that deep analysis of complex requirements, generation of high-quality model elements and more intelligent interaction are realized; the SysML modeling tool is used as a final implementation and visualization platform of the model; comprising the following steps: stage 1, collecting and preprocessing industrial host data, constructing a core knowledge graph, constructing a vector knowledge base, and configuring an RAG system; stage 2, generating an initial model, dynamically modifying the demand and intelligently interacting; and stage 3, performing automatic tracing verification and structure and parameter consistency verification. The concept design of the digital prototype of the industrial master can be quickly generated, and the development efficiency of the industrial master is improved.

The invention relates to a container design technology of embedded gateway equipment, discloses a gateway-based multi-container stacking method, and solves the problems of high repeated space occupation and long container creation time when multiple containers are created by adopting a traditional LXC technology in gateway equipment. According to the scheme, the method comprises the steps that S1, a base container file system mirror image is manufactured, specifically, a minimum LXC container suitable for gateway equipment is created, a rootfs catalogue of the container is extracted and packaged, and a squashfs read-only file system format is adopted to construct the base container mirror image; s2, integration and mounting of a base container file system: splitting a framework partition from an existing partition of gateway equipment firmware, and writing a base container mirror image into a specified offset address of the partition; after the gateway system is started, mounting the framework partition to a preset directory, so that the rootfs directory of the base container can be accessed; and S3, creating an application container based on a stacking technology: starting an OverlayFS function of a Linux kernel of the gateway, rewriting container creation logic of the LXC, and configuring a hierarchical storage path of the OverlayFS when the application container is created.

This application relates to the field of integrated circuit automated design technology, and particularly to a method, apparatus, and electronic device for optimizing transistor layout in analog circuits. The method includes: acquiring a device group layout diagram of transistors in an analog circuit; encoding the device group layout diagram into a character array; generating an initial parent population based on the character array; determining the genotype of the initial parent population for evolutionary iteration based on the character array; iterating the initial parent population based on its genotype, performing multi-objective evaluation on the current parent population based on offspring individuals during each iteration, until a preset number of iterations is reached; the current parent population includes one of the initial parent population and one of the evolved parent populations; and determining the optimization result of the device group layout diagram based on the last evolved parent population. This solves the problem in related technologies where transistor layout in analog circuits is difficult to balance device electrical matching performance with layout area and wiring complexity.

This invention discloses a PIDNN-SO-based method for optimizing the layout of offshore wind farms, belonging to the field of wind farm optimization design technology. The method first inputs wind farm, turbine, and wind resource parameters, sets constraints on turbine spacing, boundaries, and wake overlap rate, and constructs a high-precision wake flow field physical model based on actuator disk theory, Navier-Stokes equations, and a weighted quadratic wake superposition model. Secondly, it builds a physical information dual neural network (PIDNN) with dual encoders, integrating physical equation loss and data loss to train the model, achieving rapid and accurate prediction of wake wind speed. Then, it uses the snake optimization algorithm (SO) to optimize the environmental evolution factor, completing an efficient search for turbine layout. Finally, it constructs a PIDNN-SO collaborative optimization framework, trains a PIDNN surrogate model through initial sampling, and outputs the optimal layout that maximizes annual power generation. This invention can effectively reduce wake loss and significantly improve the power generation efficiency of offshore wind farms.

An exhibition stand design intelligent generation system based on multi-modal semantic analysis belongs to the technical field of design and comprises a data acquisition and labeling module, a multi-stage semantic analysis module, a multi-modal fusion generation module, a dynamic style adaptation implementation module and a test and optimization module. The data acquisition and labeling module comprises an industry label determination sub-module, an exhibition stand space size design sub-module, a function partition sub-module and a display product sub-module; the multi-stage semantic analysis module comprises a domain knowledge graph determination sub-module and a semantic analysis model establishment sub-module; the multi-modal fusion generation module comprises a two-channel Transform architecture sub-module, a three-dimensional layout generation sub-module, an input sub-module and an AIGC large model establishment sub-module; the dynamic style adaptation implementation module comprises an industry feature coding sub-module and an adversarial training strategy sub-module; the application method of the exhibition stand design intelligent generation system based on multi-modal semantic analysis comprises five steps. According to the method, the exhibition stand design scheme meeting the customer requirements can be quickly generated, the multi-view effect picture is output, and the exhibition service response speed and the customer experience can be improved.

Embodiments of the present application provide a kind of turbine blade cold gas point source determination method, device, computer equipment and medium of aero-engine, it is related to turbine blade cooling design technical field, wherein, the method comprises the following steps: setting the attribute parameter of turbine blade, and attribute parameter is saved to input configuration file;The geometry analysis of the blade shape format of turbine blade is carried out, the positioning dimension of turbine blade is divided into blade surface feature position and blade upper and lower end area feature position, the three-dimensional coordinates of blade cold gas point source are determined according to positioning dimension;Set the cold gas injection angle corresponding to each blade cold gas point source, and save to input configuration file;The cold gas injection flow and cold gas injection temperature of each blade cold gas point source are set respectively, and save to input configuration file respectively.The accurate positioning of turbine blade surface and upper and lower end area wall surface cold gas point source, direction setting and parameter automatic loading are realized.

The invention provides a ferrous metallurgy sintering flue gas regulation and control method and system based on a space-time collaborative architecture, and relates to the technical field of ferrous metallurgy sintering computer aided design, and the method comprises the steps: S1, arranging an array sensor, collecting multi-dimensional physical parameters in a sintering flue gas circulation process, and carrying out data processing; s2, establishing a space-time collaborative architecture model, and realizing perception and dynamic prediction of a flue gas flow field; s3, constructing a multi-objective collaborative optimization loss function, and optimizing emission parameters of gas component concentration, process energy consumption parameters of section flow velocity and static pressure, sinter quality parameters of flue gas temperature and physical consistency constraint indexes; and S4, optimizing the dynamic control vector of the sintering flue gas, and controlling an execution mechanism to regulate and control the sintering flue gas. According to the method, the sintering furnace flue gas flow field is predicted through the space-time collaborative architecture model, the uniformity of the sintering flue gas flow field is optimized, the flowability of flue gas in a smoke hood and a sintering material layer is improved, and the operation power consumption of a main exhaust fan is reduced.

The invention discloses an artificial intelligence aided design color matching decision-making system and method, and relates to the technical field of computer aided design. Comprising the steps of obtaining a design semantic text, user visual preference and scene illumination parameters; converting the text data into emotion vectors through machine learning; mapping the emotion vectors into a color base vector set by using a pre-trained emotion color mapping model; carrying out personalized parameter adjustment on the color basis vector based on the visual preference data of the user; environment self-adaptive correction is carried out in combination with scene illumination parameters; performing multi-dimensional intelligent evaluation on the corrected color set to generate a comprehensive confidence score and a color matching scheme; when the score is lower than a preset threshold value, iterative optimization is carried out, and finally an optimized color matching scheme is output. The problem that a traditional color matching tool is difficult to consider design intentions, user preferences and physical scenes is effectively solved, and the quality, personalization and practicability of a color design scheme are improved.

The present application relates to the field of civil engineering and computer-aided design technology, and particularly relates to a method for determining non-limiting active earth pressure of a retaining wall in complex terrain. The method comprises the following steps: obtaining and spatially discretizing original survey data to form a set of parameterized grid points; constructing a reference pressure grid using the set of parameterized grid points; extracting elevation information of each grid element in the reference pressure grid, locally fitting the elevation information to a surface, and calculating the principal curvatures of the terrain surface to form a terrain curvature spectrum; analyzing the curvature distribution of the curvature characteristic region in the terrain curvature spectrum to obtain statistical characteristics of the curvature distribution; and analyzing the soil arching effect according to the statistical characteristics of the curvature distribution to obtain soil arching curvature influence law data. The present application converts complex three-dimensional boundary conditions that are difficult to handle into an accurately quantifiable terrain curvature spectrum, thereby improving the safety and economy of retaining wall design under complex terrain conditions.

This application relates to the field of computer-aided design technology, specifically to a method and apparatus for extracting CAD coordinate table data. The method includes: determining a set of header text and a set of non-header text in CAD surveying data, wherein the CAD surveying data includes a boundary point coordinate table; determining the header tilt angle and header column boundaries based on the header text set; eliminating abnormal text from the non-header text set based on the header tilt angle to determine a candidate text set; determining the row and column numbers corresponding to each candidate text in the candidate text set; and generating target structured data based on the candidate text set and the row and column numbers corresponding to each candidate text. The CAD coordinate table data extraction method provided in this application significantly improves the data conversion efficiency from CAD to target structured data and remains stable and reliable even when processing complex drawings containing noise and tilt.

This application discloses a vehicle body topology iteration method, apparatus, electronic device, and storage medium, relating to the field of vehicle design technology. The method includes: within a designable space, fabricating an inner wall shell and an outer wall shell based on the original surface of the vehicle body and the spatial boundary, respectively, and creating a partition between them to form a topological space filled with a plate-shell structure; then performing topology optimization analysis on the plate-shell topological space to obtain the topological result of material distribution; finally, iteratively evaluating and adjusting the topological result according to preset evaluation dimensions until a qualified topological result is obtained. This application can solve the problems in related technologies such as large differences between solid topology and thin-walled beam structures of the vehicle body, poor engineering conversion ability, and the lack of a systematic iteration mechanism leading to unreasonable material distribution and unclear engineering paths in the topology results. It can improve the matching degree between the topology results and the vehicle body engineering structure, enhance engineering practicality, and achieve a positive systematic optimal solution design for vehicle body performance.

This invention discloses a method for joint evaluation and optimization of buckling and bending of arbitrary quadrilateral laminates based on physical information neural networks, relating to the field of composite material structure design technology. The method, for arbitrary quadrilateral laminates, first constructs a method based on classical laminate theory... USA The stiffness matrix explicitly reflects the influence of ply parameters, and a physical domain is transformed to a reference domain through a bitriangular affine mapping to establish a physical information neural network mechanical model. The model is trained with the goal of minimizing the total potential energy or Rayleigh quotient, solving for the buckling factor and layer-by-layer strain limits, and adapting to four typical boundary conditions through a boundary embedding function. Subsequently, using ply angle and thickness as variables, optimization is performed using a genetic algorithm, with the goal of minimizing mass, and the buckling factor and strain limits as constraints. The final output is the optimal ply scheme that satisfies specific boundary conditions. This invention can optimize ply angle and thickness while satisfying buckling stability and strain strength constraints.

This invention relates to the field of permanent magnet synchronous motor (PMSM) design technology, and discloses a method and device for integrated collaborative optimization design of the rotor magnetic circuit of a PMSM. The method includes: collecting time-series data of multi-source vibration and electromagnetic load under heavy-load conditions of forklift operation, and constructing a dynamic excitation phase space mesh for the rotor interface; performing multi-field coupled response simulation based on the mesh to drive a parameterized rotor model, generating a structural eddy current coupled simplex complex; constructing a combined constraint and sub-mode gain model for robust magnetic circuit optimization based on the complex, generating a geometrically reinforced candidate solution set; performing multi-objective collaborative convergence and three-dimensional model generation under the constraints of the candidate solution set, and outputting an anti-disturbance optimized rotor structure. This invention solves the problem that existing technologies cannot cope with dynamic multi-field positive feedback under complex forklift operating conditions, leading to decreased efficiency and low reliability of the motor during continuous operation, thus enabling the motor to adapt to forklift operation requirements.

The present application belongs to the technical field of photonic device design, and specifically relates to a micro-ring resonator reverse design optimization method based on deep learning. The present application comprises: obtaining different micro-ring resonator structure parameters and corresponding free spectral range and quality factor, and processing and dividing the data set; building a cascade neural network model, wherein the reverse network takes the target performance index as the input to predict the structure parameter, the forward network inputs the structure parameter and outputs the performance index, and is used to constrain and correct the reverse prediction result; after training, the test set is evaluated to measure the reverse effect by the average absolute percentage error index, the weight in the loss function is changed, and multiple rounds of training are performed to determine the optimal weight configuration and final model of the reverse design. The present application has the advantages of high calculation efficiency, excellent design precision and strong physical realizability, can reduce the dependence on large-scale simulation and multiple iteration optimization, effectively shorten the device design cycle, and has high application value.

This application discloses a signal distortion processing method, apparatus, device, and medium, relating to the field of server design technology. Applied to complex programmable logic devices (CPLs), the method includes: debouncing and filtering a real-time acquired external signal to filter out instantaneous stray interference signals with a duration less than a filtering time threshold; performing multiple judgment processing on the debounced signal to be judged to generate multiple judgment results, including: constructing a purely digital delay circuit within the CPL for delayed judgment; repeatedly superimposing the signal to be judged onto the conditional statements of a state machine with a preset number of samplings to force the state machine to identify level signals and perform level signal superposition judgment; performing edge recognition judgment on the signal based on the global clock or frequency-divided sub-clock of the CPL; and performing combinational logic operations on the multiple judgment results to output a target valid signal. The technical solution of this application can improve the overall reliability of the server.

This disclosure provides a method, apparatus, device, medium, and product for access verification in on-chip networks (NoCs), relating to integrated circuit design and verification and System-on-Chip (SoC) design technologies, particularly in the areas of NoC security verification, access control, and access control isolation verification. The specific implementation scheme is as follows: a routing access permission file is parsed to obtain access permission paths and self-test instances; the self-test instances are executed to obtain self-test results; the self-test results and the routing access permission file are compared and verified to obtain a verification result; if the verification result fails, the access permission paths in the routing access permission file are modified until the verification result passes; routing tests are performed in a UVM environment based on the modified access permission paths to obtain the access verification result. This technical solution can shorten the access verification cycle of on-chip networks.

The present application relates to the technical field of hardware layer design, and particularly relates to a hardware layer design method based on an embedded operating system, comprising the following steps: analyzing application program interfaces stored in a current hardware layer to obtain application program interfaces stored in the hardware layer configured by a current operating system; receiving a running task of the current operating system, and analyzing application program interfaces required by the running task to be configured; searching for the application program interfaces required by the running task to be configured in the application program interfaces stored in the hardware layer, and feeding back the searching process of the application program interfaces to a system user in real time; the present application can bring an intelligent hardware layer design method to the current embedded operating system, and in the step execution process of the method, the hardware layer intelligent design of the embedded operating system is realized by analyzing the application program interfaces existing in the hardware layer in real time.

The invention provides a personalized bicycle design system based on skeleton guidance and complementary learning, which belongs to the technical field of bicycle design and comprises a data acquisition module for acquiring human body data and inputting the human body data into a bicycle three-dimensional model; the data analysis module is used for carrying out grid division on the three-dimensional model to obtain a finite element model; a human body finite element model is established in stages through the processed data, and a deformation file and a posture file of the to-be-measured object are set according to the human body measurement size and the sitting posture measurement size of the to-be-measured object and an adjusting method; a systematic human body finite element model optimization method is provided and comprises a body pressure simulation accuracy optimization method based on a geometric model, material partitioning and material parameter adjustment and a biomechanical simulation accuracy optimization method based on body pressure index change trend verification of each human body region under multiple bicycle parameter settings. And the simulation accuracy of the model can be improved.

This invention discloses a compact UAV flight control board core component layout and efficient connection method, belonging to the field of UAV flight control design technology. The layout scheme centers on the main control module, achieving a radial and compact arrangement of various functional modules on a flight control board body with an area not exceeding 50cm²: sensor modules surround the main control module with a spacing not exceeding 5mm, power management and communication modules are diagonally distributed at the edges, and interface expansion modules are dispersed in the remaining edge areas. Independent digital and analog ground copper foils are provided, using single-point grounding. The connection method utilizes surface mount technology for direct soldering of core chips. The power link employs a tree topology and array filtering, while the signal link optimizes impedance matching and wiring. Connection detection and thermal adhesive reinforcement ensure reliability. This invention significantly reduces the size and weight of the flight control board, effectively reduces signal interference and transmission loss, improves connection stability and flight control accuracy, and is suitable for the needs of miniaturized UAVs.

The invention relates to a building history text analysis and regional design recommendation system based on a large language model, and belongs to the technical field of building design, the system comprises a data layer, a model layer, a service layer and an application layer; the data layer is used for storing multi-modal data and executing cleaning and feature extraction; the model layer integrates a large language model, a multi-modal fusion model and the like which are finely adjusted in the building field; the service layer provides services such as text analysis and design recommendation; the application layer supports architectural design, historical protection and other scenes; and the layers collaboratively realize multi-modal data processing and service output. According to the method, building multi-modal data are efficiently integrated, building history text features are accurately mined, a design scheme with regional features and parameter optimization is generated, multi-scene application is supported, and the efficiency and accuracy of building text analysis and design recommendation are improved.

This invention discloses a charger life prediction system based on big data analysis, belonging to the field of computer-aided design technology. It includes a data fusion unit, a benchmark modeling unit, a drift monitoring unit, a risk assessment unit, and a strategy generation unit. The data fusion unit generates structured feature vectors and sends them to the benchmark modeling unit. The benchmark modeling unit establishes a benchmark life prediction model based on the structured feature vectors and sends the benchmark life prediction model to the drift monitoring unit. The drift monitoring unit generates a conceptual drift index and sends it to the risk assessment unit. This invention profoundly reflects the inherent attributes and operating conditions of the equipment, and its accuracy and reliability far exceed those of traditional models relying on a single data source.

The invention relates to the technical field of building design, in particular to an arch dam three-dimensional geological model and parameterized design data fusion system and method and application, and the system comprises a data acquisition and interface module which obtains CAD data and three-dimensional geological data; the data preprocessing and feature engineering module is used for preprocessing the CAD data and the three-dimensional geological data and extracting features; the three-dimensional model data fusion engine module is used for constructing a three-dimensional digital model with uniform structural parameters; the machine learning-based analysis and evaluation module is used for carrying out performance prediction, key region identification and CAE result interpretation on the three-dimensional digital model by utilizing a machine learning model to generate performance evaluation information; and the arch dam design parameter optimization and recommendation module adopts an intelligent optimization algorithm to optimize arch dam design parameters, outputs a final design parameter combination, and improves the accuracy and decision-making efficiency of arch dam parameterization design and the intelligent level of engineering design.

The application relates to the technical field of ship design, in particular to a ship design method based on ship type flexible customization and a storage medium. A flexible customization design tool set visual push design system platform based on a knowledge graph can automatically match corresponding design modules according to design content in the process of ship digital design by a designer, and can push design tools corresponding to the modules according to design stages, design specialties, operator information and the like. The designer only needs to select corresponding module design objects in the design process, and the module design tool set can be automatically pushed out. After the corresponding design tools are selected, knowledge rules matched with the current design tools and design environment are automatically reasoned and called based on the constructed knowledge graph, and intelligent design based on knowledge driving is realized through the design tools, so that the problem of poor use and configuration flexibility of different professional and different functional design function modules and design tools of a traditional ship three-dimensional design software platform is solved.

This invention relates to the field of computer-aided design technology for semiconductor devices, and discloses a simulation method, system, electronic device, readable storage medium, and program product for adaptive scanning of semiconductor devices. It addresses the technical problem that in existing technologies, a fixed scan step size leads to redundant simulation iterations or distorted simulation results in simulation scenarios with complex physical quantity variations. The method includes: acquiring scan parameters in response to a simulation request, wherein the scan parameters include a scan step size, a scan start point, and a scan end point; constructing a scan value starting from the scan start point with the current scan step size, and performing simulation based on the scan value; acquiring the number of iterations in the current simulation process; evaluating the convergence of the current simulation process based on the number of iterations, and adjusting the scan step size according to the convergence evaluation result; constructing the next scan value based on the adjusted scan step size; and cyclically executing the simulation solution and the scan step size adjustment until the scan value reaches the scan end point, completing the simulation.

This invention relates to a design method for large-size irregularly shaped wind tunnel shells under complex temperature and pressure conditions, belonging to the field of wind tunnel shell design technology. It aims to solve the design challenges of irregularly shaped wind tunnel shells under complex operating conditions. Based on the aerodynamic profile of a large-size continuous transonic wind tunnel, and combined with the design pressure and temperature of the large-size continuous transonic wind tunnel, a preliminary design of the large-size irregularly shaped wind tunnel shell structure is performed. A finite element simulation model of the large-size irregularly shaped wind tunnel shell structure is established at a 1:1 scale. Operating condition data of the large-size continuous transonic wind tunnel are collected, and simulation analysis is used to obtain temperature and pressure load data for various sections of the large-size irregularly shaped wind tunnel shell under different operating conditions. Simulation analysis is performed to calculate the strength of the large-size irregularly shaped wind tunnel shell structure, and structural reinforcement is implemented for areas where the strength does not meet the design requirements of the large-size irregularly shaped wind tunnel shell structure. This invention is applicable to structural design under complex temperature and pressure conditions.

This invention relates to the field of hydraulic turbine technology, and more particularly to a method for modifying the blade profile of a mixed-flow hydraulic turbine runner, comprising the following steps: S1, determining the optimization objective and required operating conditions for modifying the hydraulic turbine runner blade profile, identifying the blade region requiring modification, and setting the optimization objective; S2, using computer-aided design technology to establish a three-dimensional geometric model of the hydraulic turbine runner blade, and creating a mesh for the fluid domain, wherein the mesh density is dynamically adjusted according to the flow characteristics in different regions; S3, based on the established geometric model and mesh, performing flow field simulation, acquiring flow velocity, pressure, and eddy current data, and analyzing the simulation results to identify blade performance bottlenecks. In this invention, by determining the optimization objective and required operating conditions for modifying the hydraulic turbine runner blade profile, the problem that traditional hydraulic turbine blade modification mostly relies on empirical judgment and single-condition optimization, resulting in the difficulty of simultaneously optimizing blade efficiency and flow performance, is improved.