70results about How to "Reduce trial and error" patented technology

The invention provides a material simulation test method and platform for mold flow analysis, and relates to the technical field of material simulation testing, and the method comprises the steps: carrying out the product demand analysis of a target test material, and obtaining the product demand information; performing injection molding analysis to obtain an injection molding control parameter threshold; obtaining an injection molding simulation test model; carrying out an injection molding simulation test, and carrying out image pre-acquisition to obtain a first pre-acquired image; defect feature analysis is carried out, attention area distribution is carried out, and a target attention area is obtained; an injection molding defect area image is obtained, and defect feature information is obtained; and feedback testing and parameter optimization are carried out, optimized injection molding control parameters are obtained, and injection molding control is carried out. The technical problems that in the prior art, injection molding analysis generally depends on a fixed mathematical model and limited technological parameters, and problems in the molding process cannot be recognized and adjusted in real time, so that the production efficiency and the product quality are low are solved.

The invention relates to a hot forming process parameter design method and device based on a deep learning model, and belongs to the technical field of hot forming. The method comprises the steps that image data, text data and video data in a standard hot forming process and an experimental process are obtained, and the image data, the text data and the video data are fused to obtain a fused image; a multi-mode hot forming process database is obtained; an initial deep learning model is constructed, data in the multi-modal thermal forming process database is used as input parameters to be input into the initial deep learning model for iterative training, and a target deep learning model is obtained; and the product performance requirements serve as input parameters to be input into the target deep learning model, and target hot forming process parameters are obtained. The technical problems of high time cost and low efficiency of process parameter design are solved.

The invention discloses a line path planning scheme generation method and system based on deep reinforcement learning, and the method comprises the steps: firstly constructing a grid map and an evaluation index system of a planning region, determining the index weight based on a Critic method to construct a grid comprehensive cost evaluation model, and then constructing a path planning model with the minimum total cost as a target, the method comprises the following steps of: firstly, extracting an optimal power transmission line planning path, describing the optimal power transmission line planning path as a Markov decision process, then introducing mixed noise and an epsilon-greedy strategy into a depth deterministic strategy gradient algorithm, improving a priority experience playback mechanism to obtain an improved depth deterministic strategy gradient algorithm, and finally training an intelligent agent based on the algorithm and outputting an optimal power transmission line planning path. According to the method, mixed noise is added, the exploring ability of the intelligent agent is improved, a greedy strategy is introduced to accelerate the learning efficiency of the initial stage of the algorithm and reduce the exploring frequency so as to reduce unnecessary trial and error, and finally, an instant reward value is fused into a priority experience playback mechanism to help the intelligent agent to accurately distinguish the importance of different experiences and accelerate the learning efficiency of the intelligent agent.

The invention relates to an unmanned aerial vehicle wing deformation monitoring sensor layout method based on modal analysis, and the method comprises the steps: determining the modal parameter detection of a wing under different working conditions through modal analysis, and employing a modal component sum index to recognize a key degree of freedom so as to optimize the position of a sensor; the method is mainly used for verifying the deformation of the wing part in the overall design process of the unmanned aerial vehicle in a laboratory. According to the method, the modal shape and the inherent frequency are obtained through finite element analysis, the modal amplitude and the participation factor of each degree of freedom are calculated, the optimal arrangement position of the sensor is further optimized through an iterative algorithm, and the arranged fiber bragg grating sensor can accurately monitor the deformation information of the wing. The data processing unit collects data and evaluates wing performance by applying a data analysis algorithm. The method improves the accuracy and comprehensiveness of deformation measurement, and provides guarantee for the flight safety and efficiency of the unmanned aerial vehicle.

The invention relates to a liquid lithium battery simulation method and device considering stress action and a storage medium in the technical field of lithium battery simulation, and the method comprises the following steps: constructing a mechanical model for describing the relationship between the deformation of electrode particles and environmental stress in an electrochemical reaction process, including the acting force of an electrolyte on the electrode particles; constructing an electrochemical model for describing the diffusion process of lithium ions in the electrode particles; coupling the electrochemical model with the mechanical model to obtain an electrochemical-mechanical coupling model; and simulating the performance parameters of the battery based on the electrochemical-force coupling model. The liquid electrolyte binding effect is introduced to reflect the stress change of the electrode material in the circulation process, and the electrochemical reaction and mechanical behaviors are coupled to simulate the concentration change of lithium ions at all positions in the electrode particles in the charging and discharging process, so that the model can accurately predict the performance and the service life of the battery.

The invention relates to a preparation method of high-temperature-resistant silk-screen printing ink based on chemical simulation optimization. The preparation method comprises the following steps: (1) formula optimization: optimizing a silk-screen printing ink formula by using chemical simulation software; (2) production process control; (3) quality detection; (4) environment simulation; and (5) data collection and analysis. The method has the advantages that the whole process optimization from formula design to production control, quality detection, environmental adaptability evaluation and data analysis is realized, modeling is carried out on interaction among ink components through chemical simulation software, and the performance of ink under different conditions can be accurately predicted, so that selection and optimization of the formula are guided.

The invention relates to the technical field of bonding wire production, in particular to an annealing parameter setting method and device for bonding wire production. Acquiring a target tensile strength and a target elongation (acquiring corresponding annealing parameters according to the initial tensile strength, the elongation, the target tensile strength and the elongation); determining a preset annealing temperature and a preset annealing speed based on the established annealing parameter selection strategy; the bonding wire sample is subjected to annealing treatment according to the preset annealing temperature and the preset annealing speed, a bonding wire finished product is obtained, and when the measured actual tensile strength and actual elongation of the bonding wire finished product reach the requirements of the target tensile strength and target elongation, the bonding wire is obtained. And taking the preset annealing temperature and the preset annealing speed as actual annealing parameters for batch production of the bonding wires. Therefore, the annealing parameters corresponding to the target tensile strength and the target elongation can be quickly found through the established annealing parameter selection strategy, and the bonding wire product performance is accurately controlled while the bonding wire production efficiency is improved.

The invention discloses an automatic coupling method and device for a photoelectric detector wafer, and the method comprises the steps: employing a visual recognition technology to achieve the coarse positioning of the coupling of a to-be-detected wafer chip, taking an optical power count value collected in real time as a search signal, carrying out the real-time analysis of the signal through combining with a breadth-first search algorithm, and carrying out the detection of the signal. Path planning is carried out on a three-dimensional space to determine a search path, precise control of a motion path is carried out on the three-axis precision platform through a software control system, finally, optical power value signals under each path position are traversed to find out a maximum value signal, the maximum value signal is moved to the position, and the maximum value signal is the optimal coupling position. Therefore, automatic coupling of wafers in a limited space is realized. The wafer coupling device has the beneficial effects that the automation degree of wafer coupling can be improved, the manual operation cost and the time cost are reduced, meanwhile, the precision and the stability of wafer coupling are improved, and adverse effects caused by manual operation errors are reduced.

The invention relates to a design method of an infinite layer nickel oxide with a low sodium ion migration barrier, which comprises the following steps of: constructing an infinite layer rare earth nickel oxide and titanium carbide model and expanding cells to ensure that contact surfaces are consistent; constructing a heterojunction model and converting the heterojunction model into a three-dimensional atomic coordinate file; optimizing the surface structures of the two materials, combining and adding a vacuum layer, and then calculating the interface energy; structural changes and sodium ion migration barriers are analyzed, the ionic conductivity optimization rate is calculated, and a theoretical basis is provided for sodium ion battery negative electrode material design. Compared with the prior art, the ion conduction capability of the titanium carbide two-dimensional material as the sodium ion battery negative electrode is calculated and optimized through the first principle, the migration potential barrier is reduced, the infinite layer nickelate and titanium carbide heterojunction is constructed, the sodium ion conduction performance is improved, and a new thought is provided for the design of the sodium ion battery negative electrode material.

The invention discloses a simulation optimization method and terminal for heat source distribution of an alloy welding structural member, and the method comprises the steps: obtaining and inputting at least two welding process parameters to a welding heat source model, and obtaining at least two simulation heat source distribution geometric parameters in a one-to-one correspondence manner; acquiring actual geometrical characteristics of transverse and longitudinal sections of welding seams of the alloy welding structural parts in one-to-one correspondence with the welding process parameters; according to all the simulation heat source distribution geometric parameters and the actual geometric features, an objective function used for reducing the difference between the simulation heat source distribution geometric parameters and the corresponding actual geometric features is established, and a heat source distribution optimization model is established according to the objective function; and in the welding simulation process, the heat source distribution optimization model is called to optimize simulation heat source distribution geometric parameters output by the welding heat source model. According to the method, the simulation heat source distribution geometric parameters are optimized through the heat source distribution optimization model, the accuracy of the simulation result of the welding heat source model is improved, the number of trial and error times in the welding process is reduced, and the production efficiency is improved.

The invention provides an energy storage block stacking and positioning method and system, and relates to the technical field of energy storage block stacking and positioning.The method comprises the steps that platform carriages of a train are scanned to recognize the boundary of each platform carriage; according to the boundary of each flat carriage, boundary points of the preset stacking area are determined; according to the physical limitation of the hoisting clamp and the characteristics of a preset stacking area, the position and angle adjusting range of the clamp is determined, and the position and angle adjusting range comprises the coordinates of the clamp in the three-dimensional space and the rotating angle of the clamp; a population is initialized in which each individual in the population represents a set of candidate solutions for fixture positions and angles. By means of intelligent positioning and adjusting, accurate stacking of the energy storage blocks in the train flat plate carriage is achieved, the operation efficiency and accuracy are improved, meanwhile, safe resetting of hoisting equipment is ensured, and convenience is provided for continuous operation.

The invention relates to a method for constructing an echo model of a single-photon laser detection device, and belongs to the technical field of imaging detection of the single-photon laser detection device. By inputting the target scene model or the intensity map and the depth map of the target scene and inputting relevant parameters in an actual detection system, the echo model based on actual target scene detection can be quickly generated, an important theoretical basis is provided for actual detection, and the process of parameter trial and error in an actual experiment is reduced. Wherein the constructed echo has the characteristics of two imaging echo models of a free mode and a gating mode in a real detection environment, and can quickly and comprehensively deal with the construction of the echo imaging model of the laser detection device in two different detection modes.

The invention discloses a method for predicting the performance of monoclinic-phase vanadium dioxide based on a first principle, and the method comprises the following specific steps: S1, constructing a monoclinic-phase vanadium dioxide single crystal cell structure; S2, determining an optimal algorithm; and S3, processing and analyzing a result, and obtaining the optimal algorithm for a monoclinic-phase vanadium dioxide system. According to the modification method, the screening process of new materials can be accelerated by adopting the theoretical model which is based on the first principle and high in accuracy, the number of times of experimental trial and error can be reduced through calculation and prediction, and time and cost are saved.

The invention discloses a fishing rod design simulation method, which comprises the following steps: acquiring input information which at least comprises one of material information, mold information, laying layer information and load information of a target fishing rod; equivalence is carried out according to the input information, the variable cross-section structure of the target fishing rod is equivalent to multiple sections of constant cross-section structures arranged in sequence, and the geometric dimension and mechanical information of each section of constant cross-section structure are obtained; deformation displacement of different parts of the target fishing rod is obtained through calculation, and a tonality curve simulation result of the target fishing rod is obtained; by converting the design of the fishing rod into systematic calculation, a sufficient and effective theoretical design basis is provided for engineers in the early stage of design, blind tests based on experience are not needed, and the number of times of trial and error is reduced, so that the corresponding mold development cost, the design time and the consumption of manufacturing raw materials are reduced, the research and development period is greatly shortened, and the research and development efficiency is improved; parameters and settings commonly used in the fishing rod design process are adopted, and the method is easy and fast to operate.

The invention discloses a system and a method for predicting the optimal excitation frequency of a vibratory roller based on machine learning, and the method comprises the following steps: S1, collecting the original data of soil under different conditions and the working parameters of the vibratory roller under the conditions, investigating the parameters of different models of vibratory rollers, and processing and storing the data; s2, a machine learning algorithm in MATLAB is selected and trained, a machine learning-based optimal excitation frequency prediction model of the vibratory roller is obtained, and thus the predicted soil inherent frequency can be obtained; and S3, comparing the difference between the predicted soil inherent frequency and the soil inherent frequency measured in actual work, and adjusting and optimizing the prediction model in S2. According to the method, the optimal excitation frequency of the vibratory roller is predicted before construction, the prediction precision is improved by integrating factors such as the environment, the pavement type, the soil density and the compaction degree, and the operation requirements of the vibratory roller under different regions and different pavement conditions can be met.

The invention relates to the field of electrochemical energy storage, in particular to a method for screening a high-rate-performance electrode and application thereof. The method comprises the following steps: (1) testing an electrode to obtain the double-electric-layer capacitance Cdl of the electrode; (2) testing the electrode to obtain an SCV curve graph of the electrode at different scanning speeds v; (3) calculating the area enclosed by the SCV curve graph, calculating the proportion Cdl% of the double-layer capacitance through the double-layer capacitance Cdl, and calculating the proportion Cp% of the pseudocapacitance through the SCV curve graphs with different scanning speeds v; and (4) screening to obtain an electrode with high pseudocapacitance proportion, namely the electrode with high rate performance. The method disclosed by the invention is short in time consumption, can optimize the current pseudocapacitance measurement method, separates the ratio of pseudocapacitance to double-layer capacitance, and can effectively screen electrode materials suitable for batteries or capacitors.

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 invention discloses a precision motion platform control method and device based on MBD, and relates to the technical field of precision motion control. The precision motion platform control method based on MBD comprises a standard compiling step, a bionic step and an integration step, on one hand, the precision motion platform control method based on MBD avoids manual adjustment or empirical rules to carry out system design and adjustment, and can evaluate the performance of a control system through simulation analysis before an actual system is built; the trial and error process and the development period are reduced; and on the other hand, an intuitive interface can be provided through a visual design and analysis tool.

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 present invention relates to a production control method for nano-modified anti-corrosion coatings, and specifically to a production control method for nano-modified anti-corrosion coatings based on genetic algorithms. First, a multi-objective optimization fitness function is defined to comprehensively evaluate the dispersion, viscosity, hardness and corrosion resistance under the coating formula, and consider the production cost; then, the component ratio and process parameters in the coating formula are encoded using real number coding, and an initial population is generated; then, the dominant formula is selected through the roulette wheel selection method in genetic operations, and the formula diversity is improved using a single-point or multi-point crossover method, and the component ratio or process parameters are randomly mutated to explore new formulas; finally, an algorithm module is developed to regulate the size, shape and distribution of nanomaterials, and the reaction conditions are adjusted according to the optimization results of the genetic algorithm to achieve the optimization of coating performance.

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 present invention provides a method and system for real-time analysis of tunable 1200nm fiber laser irradiation treatment data, which relates to the field of data processing technology. The method comprises: using a tunable 1200nm fiber laser to perform laser irradiation on a preset target area; obtaining the light intensity, temperature and response data of the target area during the laser irradiation in real time through a light sensor, a temperature sensor and a biological tissue response monitor; preprocessing the light intensity, temperature and response data of the biological tissue in the target area during the laser irradiation, including noise filtering, signal amplification and data calibration, to obtain processed data. The present invention realizes precise control of 1200nm fiber laser irradiation treatment and early warning of potential side effects by real-time analysis of laser irradiation data, thereby improving the treatment effect and safety.

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 discloses an automatic driving vehicle control method suitable for an underground parking lot, relates to the technical field of automatic driving, and aims to simultaneously meet the requirements of a lane driving scene with a small posture change amplitude and a parking scene in which the posture needs to be greatly adjusted in a narrow space. The obstacle avoidance control method and the vehicle parking control method both comprise a vehicle speed control system. The obstacle avoidance control method comprises the following steps that A1, an underground parking mode is started; a2, a roof high-position camera is lifted, a whole vehicle radar is started, and the vehicle speed is reduced to 5 KM / H; a3, the camera scans the surrounding environment, and the radar scans obstacles and moving objects; a4, scanning a heat source, scanning a human face and scanning the shape of an obstacle; a5, the moving speed of the moving object is scanned, and the volumes of the moving object and the obstacle are scanned; and A6, the moving obstacles and the non-moving obstacles are avoided.

The utility model discloses a clinical puncture device for the department of cardiology, which belongs to the field of medical treatment and comprises a puncture needle head and a near-infrared generation module, an auxiliary puncture mechanism is sleeved on the outer circumferential surface of the puncture needle head, and the lower end of the auxiliary puncture mechanism is fixedly connected with a sterile transparent developing film. The auxiliary puncture mechanism and the sterile transparent developing film can be integrated together, the whole structure is small and compact, a doctor only needs to complete the action of pinching hand contact blocks on the two sides of the auxiliary puncture mechanism, the position and angle of a puncture needle head can be limited, clinical use of the doctor is facilitated, and the working efficiency is improved. Under the cooperation of the sterile transparent developing film, a doctor can quickly find the radial artery and carry out stable puncture, the success rate of radial artery puncture is increased, trial and error are reduced, injury to a patient is avoided, and far-reaching influence on transition of a first clinical operation or a doctor with insufficient clinical operation experience on the clinical operation is also achieved.