17results about How to "Reduce trial and error" patented technology

The application discloses a tamping lower pick area discrimination method, electronic equipment and a computer readable storage medium. The method comprises the following steps: collecting an image of a lower pick area; dividing the image into subgraphs according to a set resolution; judging whether the current lower pick position is available for picking and whether there is another lower pick position according to the subgraphs; if a lower pick position is recorded, the fine adjustment distance in each fine adjustment direction is calculated according to the mapping relationship between the image and the real three-dimensional space coordinates; if no available lower pick position is recorded, it is determined that the lower pick position in the field of view is unavailable. The application can solve the technical problems that the existing tamping lower pick area discrimination method does not collect the real-time state of the tamping area, and does not consider the existence of obstacles, resulting in errors and omissions in the judgment of the lower pick area.

The application provides a method for analyzing a 4H-SiC femtosecond laser processing optimal energy interval, and belongs to the technical field of engineering optics based on computer data processing. First, the evolution of electron density, lattice temperature and electron temperature under irradiation is simulated by constructing a three-dimensional model and an electron density cumulative rate equation and a double-temperature model, so that the lattice modification threshold and the ablation threshold are determined. Then, a plurality of experimental data points are selected in the interval for single-pulse laser processing, the surface morphology, removal depth and removal radius of each data point are counted by using conventional characterization methods, and the accuracy and non-thermal removal threshold of the model are determined by observing the number of surface spatter particles and the flux calculation of the morphology edge. Further, the optimal structure modification energy interval, cold processing interval and hot ablation processing interval of 4H-SiC are determined. The application uses fewer sample damage test times, improves the sample utilization rate, shortens the research period, and accelerates the flux screening of the optimal laser processing.

The invention relates to the technical field of mechanical transmission and mechatronics, in particular to an integrated linear servo joint thermal magnetic multi-physics coupling design method based on Ansys Workbench, which comprises the following steps: establishing a three-dimensional model of a reverse planetary roller screw; constructing an electromagnetic model of the motor, and performing electromagnetic simulation; internal heat and convective heat transfer coefficients corresponding to the motor are obtained; the heat flow, the heat flux and the convective heat transfer coefficient corresponding to the reverse planetary roller screw are obtained; and constructing a thermal magnetic coupling model, and performing simulation solution. According to the method, the heat, force and magnetic multi-physical field coupling effect is comprehensively considered in the integrated linear servo joint, and the problem that the overall performance of the whole joint is reduced due to the fact that the temperature is too high due to improper design is effectively solved.

The utility model relates to the field of auxiliary tools, and provides an assembling device for a brake disc and a hub. The assembling device for the brake disc and the hub comprises a centering ring detachably installed on the hub, the centering ring comprises a hub hole positioning ring and a brake disc positioning ring which are concentrically arranged, the hub hole positioning ring is used for being matched with the outer edge of a hub hole in a positioning mode, and the brake disc positioning ring is used for being matched with the inner edge of the brake disc in a positioning mode; the at least two centering pins are detachably mounted in the at least two groups of wheel positioning pin holes and the brake disc pin grooves respectively; wherein the connecting line of the at least two groups of wheel positioning pin holes and the diameter of the wheel are arranged in a staggered manner, or the connecting line of the at least two groups of brake disc pin grooves and the diameter of the brake disc are arranged in a staggered manner. According to the assembly device for the brake disc and the hub, the installation deviation of the brake disc and the hub is reduced; the centering degree of the brake disc and the hub is guaranteed, the problems of brake disc eccentric wear, performance reduction and the like caused by inaccurate centering are solved, the overall quality of the wheel set is improved, and the service life of the wheel set is prolonged.

The invention relates to an information display method and device, electronic equipment, a storage medium and a program product. The method comprises the steps of displaying a material analysis page corresponding to a target material; and displaying a first analysis result on the material analysis page, the first analysis result representing first material optimization information of semantic indication of a target comment, and the target comment being a comment corresponding to the target material. The first material optimization information directly mined based on the real feedback (target comment) of the audience of the target material reflects the real demand of the audience, and a creator of the target material can adjust and improve the material in a targeted manner based on the real demand of the audience, so that the material optimization result can be matched with the real demand of the audience, and the user experience is improved. And the material optimization efficiency and the propagation effect are improved, and the time and energy of a creator are saved. Meanwhile, as accurate insight is provided for the needs of audiences, the trial and error of creators can be reduced, and the creation cost is reduced.

The application discloses a semiconductor thin film deposition process intelligent recommendation system and method based on a knowledge graph, belongs to the technical field of semiconductor manufacturing processes, and comprises the following: a semiconductor thin film deposition process knowledge graph construction module; a prompt word template generation module: used for receiving process requirements and constraint conditions input by a user, performing semantic analysis on the process requirements and constraint conditions, filling the analysis results into a preset prompt word template, and outputting standardized instructions meeting the calling requirements of a large language model; and a large language model reasoning module: used for receiving the standardized instructions, performing semantic retrieval and logical reasoning on the standardized instructions within the constraint range of the semiconductor thin film deposition process knowledge graph, generating a plurality of candidate thin film deposition process schemes meeting process constraint conditions based on entity relationships and causal associations in the semiconductor thin film deposition process knowledge graph; and the application constructs a complete process recommendation solution and exhibits significant advantages in multiple aspects.

This invention relates to the fields of shipbuilding and ocean engineering and fluid mechanics, specifically to a multi-objective optimization design method for the bulbous bow of a large ship based on parametric modeling, comprising the following steps: S1: Dividing the geometry of the bulbous bow into multiple sections along the transverse and longitudinal directions, and fitting the shape of each section with a high-order polynomial; S2: Defining minimizing wave-making resistance as the first objective function. The second objective function is to maximize the seakeeping performance of the ship. The collaborative optimization objective is as follows: S3: Solve using a decomposition-based multi-objective evolutionary algorithm; S4: Verify the rationality of the Pareto optimal solution set obtained in step S3 through CFD simulation. This invention integrates parametric modeling, surrogate model acceleration, multi-objective evolutionary algorithm, and high-fidelity verification into a complete closed-loop system, reducing reliance on designer experience and shifting the bulbous bow design process from traditional manual trial and error to systematic and automated numerical optimization.

The invention discloses an aerodynamic heat management configuration design method for a large-airspace and wide-speed-domain hypersonic aircraft. The aerodynamic heat management configuration design method comprises the steps that a reference aerodynamic layout is determined, and appearance design oriented to heat flow distribution optimization is carried out; establishing a thermal environment database through multi-working-condition numerical simulation; dividing the surface of the aircraft into thermal management areas of different grades based on the thermal environment database; configuring a thermal protection material and designing a gradient thermal protection structure for each thermal management area to realize conformal integration with the reference aerodynamic layout; the integrity and reliability of the integrated structure under the heat / force load are verified through heat / structure coupling simulation analysis; and carrying out performance evaluation and iterative optimization, and if the design indexes are not met, returning to corresponding steps for optimization until the design is converged. Integrated collaborative design and closed-loop iterative optimization of aerodynamic configuration and thermal management performance are realized from a design source, and the problems of overweight of a thermal protection system, poor thermal environment adaptability and low design efficiency caused by a traditional serial method are effectively solved.

The invention discloses a converter station sound insulation and noise reduction type enclosure structure design method based on artificial intelligence, particularly relates to the field of converter station noise control, and is used for solving the problem that a scheme is mismatched with a station boundary target due to low frequency control difficulty and ventilation opening sound leakage in converter station enclosure structure design. The method comprises the following steps: acquiring an equivalent continuous sound level at a station boundary representative point according to a specification, recording an equipment operation state, comparing the equivalent continuous sound level with an existing predicted sound level in the same caliber to obtain a source item correction amount, and generating an equivalent sound power parameter set; then combining ventilation and heat dissipation constraint with an in-station arrangement boundary calculation discrimination index, adopting machine learning to comprehensively obtain a governance distribution coefficient, guiding an enclosure unit library to retrieve and generate an enclosure candidate combination and matched opening noise elimination configuration, and outputting constructable arrangement and node practice through sound field and heat ventilation check; therefore, the implementation and consistency of the design are improved.

The invention relates to a shaded pole rotor production quality feedback method and system, and relates to the field of motor quality inspection, and the method comprises the steps: determining the material component proportion data of a to-be-processed material block in response to a quality detection signal; when the material component data of the to-be-machined material block falls into the standard component proportion data range, mold machining operation is executed; rotor size information is obtained after the mold machining operation process; acquiring the rotation frequency of the rotor in real time; acquiring actual measurement data of the motor; determining eddy current data and forming a qualified eddy current data reference range; determining eddy current data to be verified when the rotor rotation frequency does not fall into the qualified rotor rotation frequency range; determining an eddy current data deviation value based on the eddy current data to be verified and the qualified eddy current data reference range; and outputting an abnormal signal when the eddy current data deviation value exceeds the maximum eddy current data deviation range. According to the invention, the production quality of the shaded pole rotor is greatly improved, and the production cost and the defective rate are reduced.

A machine learning-based model and method for predicting the composition, process, and microstructure of difficult-to-deform alloys is presented, relating to the fields of intelligent material design and hot working technology. This method first constructs a composition-data-image coupling matrix, cleaning up data noise while preserving the true mechanical response. To address the problem of unbalanced data-image distribution, a non-full-coverage sampling strategy of "typical microstructure-key process" is proposed, supplementing images in low, medium, and high power dissipation regions to preserve the true sparse distribution. During the training phase, supervised and semi-supervised branch collaborative learning is employed, enabling the model to capture the microstructural differences of different alloys even with small sample conditions. This achieves the nonlinear mapping between power dissipation coefficient and dynamic recrystallization, quantitatively revealing the recrystallization mechanism transformation, and outputting the optimal hot working window. This solves the problems of narrow hot working process windows and unclear microstructure-property mapping in difficult-to-deform alloys, and is applied to the intelligent process optimization of NiTiHfx-based shape memory alloys.

The utility model relates to magnesium alloy semi -solid injection moulding technical field discloses a magnesium alloy particle semi -solid temperature range measuring device, including support, hot nozzle, apron, temperature measurement unit, stirring unit, heating unit and temperature control unit. Through the observation of the macrostate of the magnesium alloy that falls or drops, without using other precision analytical instrument, can conveniently judge whether magnesium alloy is in semi -solid, and further determine the temperature range of magnesium alloy semi -solid, solve the problem that the technical personnel cannot actually measure the semi -solid temperature range of magnesium alloy particle under the condition that cannot use precision instrument in actual production.

The utility model discloses an intelligent venipuncture training device which comprises an arm model, the surface of the arm model is sleeved with simulation skin, a simulation blood vessel is arranged on the arm model, puncture areas are arranged on the elbow and the wrist of the simulation blood vessel respectively, and a temperature adjusting area is arranged at the tail end of the arm model. Through cooperative use of the arm model, the simulated skin, the simulated blood vessel, the first Peltier element and the vibrator, dynamic adjustment of the diameter and elasticity of the simulated blood vessel can be realized, blood vessel characteristics of children, old people and in a pathological state can be accurately simulated, a highly simulated operation environment is provided for students, and the training efficiency is improved. Trainees can be familiar with puncture difficulties of different types of patients in simulation, and the clinical puncture success rate in a complex environment is improved; complex clinical scenes can be simulated, medical staff can be helped to master puncture skills dealing with different conditions in training, and the number of trial and error times in actual operation is reduced.

The invention discloses a rigidity mass matching and structure optimization design method and system for an AC swing head. The method comprises the steps that S1, the AC swing head is divided into a plurality of substructures; s2, establishing a substructure dynamic model and extracting a stiffness matrix and a mass matrix of each substructure; s3, constructing an agent model of the stiffness matrix and the mass matrix of the substructure about stiffness and mass parameters of each structural member; s4, constructing an AC head swinging dynamic model; s5, identifying a weak structural member by adopting a sensitivity analysis method; s6, establishing a weak structural member multi-objective optimization model and solving an optimal sub-structure rigidity and mass matrix; s7, constructing a neural network agent model between the size parameters of the weak structural member and the stiffness / mass matrix of the substructure; and S8, taking the optimal sub-structure rigidity and mass matrix obtained in the step S6 as a target matrix, taking the size parameter of the weak structural member as a design variable, adopting an optimization algorithm, and realizing size optimization by minimizing the difference between the target matrix and the optimized matrix.

The application relates to the field of light and shadow projection equipment, and discloses an automatic adjustment method for a projection area of a projector. Through the cooperation of a projection offset module and a projection zoom module, the projector can automatically correct the position and size of a projection image by using a start-up image during a start-up process, so that the projection image of the projector is clearer, the visual effect during watching is better, the adjustment process is automatic, personal participation is not needed, the use of the projector is more convenient, and the cooperation of a grid division module divides the projection image into regions, so that the position of an occlusion and the distance that needs to be adjusted by the projection image can be clearly known. Therefore, the adjustment process is more rapid and smooth, the trial and error times of the equipment are reduced, the projection image can be maximized in the case of avoiding occlusion, and the best visual effect is reserved.

The application belongs to the technical field of motor controller cooling, and particularly relates to a long-duct cooling and noise reduction motor controller based on a Laval tube, which comprises a shell and a cooling device, wherein the internal space of the shell is divided into a first cavity and a second cavity by a large-capacity group, and the first cavity and the second cavity are arranged in sequence along the length direction of the shell; the cooling device comprises a first air cooling assembly arranged in the first cavity; the long-duct cooling and noise reduction motor controller based on the Laval tube is used to realize flow speed multiplication by arranging the Laval tube-shaped cooling cavity, to form airflow management of first acceleration and then deceleration by symmetrically arranging the first air cooling assembly and the second air cooling assembly, and to solve the problems of small wind speed, insufficient end heat dissipation and airflow noise caused by the Laval tube acceleration by combining a double noise reduction mechanism of pressure reduction and speed reduction of the outlet section of the second heat dissipation block and the micropore array of the air outlet hole and key structural parameter design basis.

This invention relates to the field of production line lifecycle management technology, specifically to an intelligent operation system and method for a glass production line based on a digital twin. The system includes a digital process package generation module, a digital twin construction module, and a monitoring and verification module. This application uses the obtained glass performance indicators as constraints for multiphysics simulation and optimization to obtain a digital process package for the glass production line. This provides a standardized and directly executable process basis for subsequent production line operation, improving the consistency and reproducibility of process solutions in actual production. Furthermore, by combining the acquired BIM model and collected raw multi-source sensor data with the digital process package, a digital twin is constructed, achieving a high-precision bidirectional mapping between the physical production line and the digital twin. Finally, the status monitoring and verification of the production line operation are performed based on the digital twin, achieving more accurate and efficient glass production line management and solving the problems of low accuracy and real-time performance in existing glass production line management technologies.