40results about How to "Shorten the optimization cycle" patented technology

The invention discloses a software product evaluation processing method and device, computer equipment and a storage medium. The method comprises the following steps: creating a target comment group based on an instant messaging tool, and obtaining target comment data and corresponding comment time; if the target comment data does not carry the task identifier, performing keyword extraction by adopting a keyword extraction algorithm to obtain a target keyword; according to the target keyword and the comment time, determining a question keyword; performing frequency statistics on the problem keywords in the comment statistics period corresponding to the current time of the system to obtain occurrence frequency; if the occurrence frequency is greater than a preset frequency threshold, determining a high-frequency keyword and a corresponding high-frequency problem; carrying out priority analysis on the high-frequency problem to obtain a target priority; and querying the comment response mechanism information table based on the target priority, obtaining a corresponding comment response mechanism, and performing response processing on the high-frequency problem based on the comment response mechanism. The method can improve the software product evaluation efficiency and reduce the cost.

The invention discloses a variant aircraft aerodynamic optimization method for improving the expected improvement degree of a position vector, and belongs to the technical field of aircraft overall optimization. The method comprises the following steps: selecting an initial reference airfoil profile and a related shape coefficient, and determining a design working condition; establishing an optimization model considering structural consistency constraint to solve the shape coefficient of the deformed airfoil profile, and establishing a high-precision aerodynamic analysis model to solve the lift coefficient and the resistance coefficient of the airfoil profile; establishing a Kriging agent model of the high-precision pneumatic analysis model, optimizing the Kriging agent model to obtain a pseudo-non-dominated solution, and judging whether a prediction variance of the Kriging agent model is greater than a threshold value or not; and if the prediction variance is not less than the threshold, obtaining newly added sample points for updating the Kriging proxy model by adopting a position vector expectation improvement criterion, otherwise, screening the newly added sample points from the pseudo-non-dominated solution to update the Kriging proxy model. By screening newly added sample points, the precision of the Kriging agent model at the Pareto frontier is improved, the optimality and the distributivity of an optimized non-dominated solution are improved, meanwhile, the optimization efficiency is improved, and the cost is saved.

The invention discloses a simulation testing method for mixed coarse aggregate compactness. The simulation method includes setting a mixed coarse aggregate physical model, subjecting the mixed coarse aggregate compactness to simulation testing including testing of basic parameters, simulation generation of a feed barrel and the mixed coarse aggregate, setting micromechanic parameters of the physical model, simulating vibration compacting process of the mixed coarse aggregate physical model, and calculating the mixed coarse aggregate compactness. The simulation testing method can quickly and accurately predict the mixed coarse aggregate compactness and reshow change laws of microscopic structure characteristics in the process of compacting the mixed coarse aggregate.

The invention discloses an optimization method for hydraulic power parts (an impeller and a guide vane) of a normal residual heat removal pump used for a nuclear power plant. The hydraulic power of the impeller and the hydraulic power of the guide vane are designed preliminarily. The optimization method comprises the follow steps that the objective function is confirmed, the independent variable and the initial value are set, an orthogonal test scheme is made, the test is conducted, the objective function value is calculated, an optimal combination is sought, and whether the optimal combination meets the design requirements or not is inspected. According to the optimization method for hydraulic power of the impeller, firstly, the preliminary design is conducted through an empirical design; secondly, the further optimization is conducted on the basis of the design, the key factors which influence the objective function value are found out for setting up an orthogonal form, and three sets of impeller hydraulic power schemes and nine sets of guide vane combination hydraulic power schemes are designed; and finally, the objective function values of the nine sets of schemes are calculated through Fluent software, the result is analyzed, and the optimal combination of all the factors is picked out. According to the optimization method, the optimization speed is high, processing and manufacturing are not needed in the optimization stage, the period is short, and the cost is low.

The invention discloses an automobile bent profile welding deformation compensation method and system, and the method comprises the steps: carrying out the welding simulation of automobile sub-assembly data, and determining a position and an out-of-tolerance amount of a size caused by welding deformation; according to the out-of-tolerance position and the out-of-tolerance amount, determining the welding compensation amount needed when a profile is bent, so that profile data obtained after welding compensation is determined; and simulating the bending forming process of the profile data, continuously adjusting the bending forming angle and considering springback compensation, so that the size of the profile data after bending forming is approximate to that of the profile data. According tothe automobile bent profile welding deformation compensation method, the welding deformation compensation problem is considered from the beginning of profile bending forming, so that the size out-of-tolerance caused by welding deformation is fundamentally controlled, the welding deformation optimization time can be greatly shortened, and the manpower and material resource consumption of product development and manufacturing can be reduced.

The invention belongs to the technical field of liquid cooling plate structure optimization, and discloses a liquid cooling plate structure size optimization method based on Hyperstudy and Fluent joint simulation. The method comprises the following steps: S1, importing a liquid cooling plate model into Fluent software, calculating and analyzing the liquid cooling plate model to obtain the total inlet pressure of a liquid cooling plate and the flow distribution condition of the section of each branch pipe, and outputting and storing the total inlet pressure and the flow distribution condition as cas files; s2, importing the cas file output in the step S1 into Hypermesh software, defining the inlet diameter of each branch pipe of a liquid cooling plate and the height of a spoiler in a liquidcooling plate model as optimization variables by utilizing a Hypermorph module, and outputting a solution file in a tpl format; s3, importing the tpl file output in the step S2 into Hyperstudy software, and calling a Fluent solver to carry out optimization solution according to an optimization algorithm. In conclusion, a software simulation optimization mode is used for replacing manual optimization, the optimization period is effectively shortened, the optimization efficiency is improved, and the labor cost is reduced; moreover, software simulation is combined simulation carried out by utilizing Hyperstudy and Fluent, so that the modeling requirement during optimization can be reduced.

The invention relates to a vibration damping control method and device for a hybrid electric vehicle. The method includes the steps of collecting vibration signals in three directions when the vehicleis at a standstill state, and calculating a combined phasor amplitude of the vibration signals in the three directions; determining whether the combined phasor amplitude is less than the set amplitude threshold or not, and if the combined phasor amplitude is not less than the set amplitude threshold, determining whether the engine rotating speed is related to the vehicle speed or not; if the engine rotating speed is not related to the vehicle speed, selecting at least one power adjustment strategy for power adjusting, and finding out corresponding overall vehicle control parameters enabling the combined phasor amplitude of the vehicle in the three directions to be minimum in the power adjusting process; and using the corresponding overall vehicle control parameters enabling the combined phasor amplitude of the vehicle in the three directions to be minimum to control a vehicle power system. By means of the vibration damping control method and device, closed loop control of signal detection and control optimization is formed by organically combining vibration detection and optimization control, the optimization cycle is better shortened, and the optimization effect is improved.

The embodiment of the invention discloses a lightweight implementation method and a device of a battery box. The method comprises the following steps: determining a response surface approximation model of the battery box; According to the response surface approximation model, the quality of the battery box is optimized, and the calculation results which accord with the preset quality lightening verification standard are obtained as the quality of the battery box. As that response surface approximation model is adopted for quality optimization calculation, the optimization design period of thebattery box is shortened, and the optimization design efficiency is improve.

The invention discloses a model optimization method, device and system, and equipment. The method comprises the following steps: receiving a service scene type and input parameter information sent by a client; determining a target operation model from a preset model library according to the service scene type, and configuring the target operation model by using input features in the input parameter information; based on an ABTest experimental framework, utilizing the configured target operation model to perform corresponding operation processing so as to obtain a model operation result corresponding to the service scene type, and returning the model operation result to the client; and obtaining effect data which is returned by the client and can represent the recognition degree of the model operation result, and determining an optimal model from the target operation model based on the effect data. According to the method, the plurality of offline operation models under the specified service scene type are tested based on the ABTest experimental framework, an optimal model is determined by checking and analyzing the effect data returned by the client online, the optimization period is shortened, and the optimization efficiency is improved.

The invention discloses a multi-objective optimization method for a liquid cooling plate, electronic equipment and a storage medium. The method comprises the following steps: establishing a geometric model of the liquid cooling plate; performing parameterization processing on the liquid cooling plate geometric model; creating a simulation calculation macro file of the liquid cooling plate geometric model according to a parameterization processing result; creating a simulation calculation batch processing script file of the liquid cooling plate geometric model according to the simulation calculation macro file; performing automatic optimization simulation based on the simulation calculation batch processing script file; calculating an error between the automatic optimization simulation result and a preset result; judging whether the error meets a preset value or not; if yes, stopping the automatic optimization simulation step; and if not, returning to the automatic optimization simulation step based on the simulation calculation batch processing script file. The optimization period of the liquid cooling plate in the heat flow coupling state is effectively shortened, automation of the optimization process can be achieved, and the optimization efficiency is obviously improved.

The invention discloses a multi-working-condition optimization design method for spokes of an axial flow pump, which comprises the following steps: determining initial conditions of spoke multi-working-condition optimization design, including design parameters and typical operation working conditions; reasonably arranging a test scheme based on orthogonal test design, and performing numerical calculation on the test scheme for each typical working condition to obtain a lift value of each sample point; establishing a function relationship between spoke parameters and lift by adopting a multivariate quadratic regression model; converting a multi-objective optimization problem into a comprehensive objective function through a comprehensive objective method, obtaining a spoke optimal parametercombination suitable for multi-working-condition operatio in the mode of combining a linear weighting method and a particle swarm algorithm, and verifying and analyzing the improvement effect of thespoke optimal parameter combination. The method can effectively inhibit the formation of a saddle area under a stall condition while ensuring that the external characteristics of the axial flow pump are not affected under a rated condition, and is beneficial to improving the overall hydraulic performance of the axial flow pump.

The invention discloses a short resident user discovery and short resident reason analysis method, which comprises the following steps of: S1, acquiring data, and obtaining residence time of a user ina cell through XDR data; obtaining a level value and GPS information of an RSRP sampling point of the user through MDT data; S2, carrying out data processing, screening out short resident users, andobtaining GPS and level values of the users in short resident time through association of public information of the users and MDT data; and S3, short residence reason analysis: calculating a level fluctuation index according to the sampling point of the level value in the short residence time, and judging whether a fast fading phenomenon exists or not. The XDR user big data and MDT basic data combined technology is applied, the problem that traditional drive test data is insufficient in comprehensiveness is effectively solved, and the problems of fast fading, overlapping coverage, over-coverage and the like of users can be actively found.

The invention relates to a virtual drilling equipment system for drilling process optimization. The virtual drilling equipment system can generate equipment signals to optimize drilling processes. The system comprises a drilling process language module, an equipment signal language module and a signal generator module; a drilling engineer can set operation processes and compile the operation processes into signal call instructions through the drilling process language module, wherein the operation processes include an operation sequence, parallel operation, sequential operation and operation duration; a control system engineer can define equipment signals of operation through the equipment signal language module, and the equipment signals can be compiled into an equipment signal library which is stored in a signal generator; and when drilling operation simulation is performed, the signal generator receives the signal call instructions outputted by the drilling process language module so as to call a corresponding signal generation method from the signal library, and corresponding signals can be generated. The virtual drilling equipment system for drilling process optimization of the invention can be used by the drilling engineer having no control system knowledge independently. With the virtual drilling equipment system for drilling process optimization of the invention adopted, the optimization cycle of equipment operation can be greatly shortened; and repeated comparison, verification and modification can be performed, and therefore, the drilling processes can be optimized, and production efficiency can be improved, and safe operation can be realized.

The invention discloses an information pushing method and device, and relates to the technical field of computers. A specific embodiment of the method comprises the following steps: acquiring first real-time behavior data of a first user for a first article; according to the first real-time behavior data and a behavior prediction model, determining a first probability that the first user executes a target behavior; wherein the behavior prediction model is obtained by performing training according to historical behavior data of a plurality of second users and performing optimization according to second real-time behavior data of a third user and an operation result of whether the third user executes the target behavior; and pushing information to the first user according to the first probability. According to the embodiment, the prediction accuracy of the behavior prediction model is improved, the information pushing accuracy is improved, and the user viscosity is improved.