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Hybrid electric vehicle matching parameter and control strategy synergistic combination optimization method
ActiveCN110667566AImprove economyAvoid disadvantagesHybrid vehiclesControl devicesHybrid electrical vehicleVehicle driving
The invention discloses a hybrid electric vehicle matching parameter and control strategy synergistic combination optimization method which comprises the steps of building a hybrid electric vehicle system model and a vehicle driving resistance model; building a hybrid electric vehicle control strategy; setting a gearbox transmission ratio as a matching parameter to be optimized, and adopting the engine torque top and bottom limitation, the battery SOC during engine intervention and the engine starting rotary speed as control strategy parameters to be optimized; integrating the vehicle model, acontrol strategy model and a combination optimization algorithm, running the built hybrid electric vehicle model and the built control strategy, and simulating-calculating the acceleration time, theclimbing degree, the oil consumption and the power consumption of the vehicle; and building the combination optimization algorithm, adopting 100-kilometer comprehensive energy consumption as a targetfunction value, setting a constraint condition, and operating the combination optimization algorithm to obtain the matching parameter to be optimized and a control strategy parameter optimal value. According to the hybrid electric vehicle matching parameter and control strategy synergistic combination optimization method provided by the invention, the matching parameter and the control strategy can be synergistically and automatically optimized at the same time, so that the vehicle and control strategy optimization cycle is greatly shortened, and the working efficiency is improved.
Owner:清华大学苏州汽车研究院(吴江)
Software product evaluation processing method and device, computer equipment and storage medium
ActiveCN110263329AGuaranteed timelinessImprove optimization efficiencyNatural language data processingBuying/selling/leasing transactionsInstant messagingKeyword extraction
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.
Owner:ONE CONNECT SMART TECH CO LTD SHENZHEN
Variant aircraft aerodynamic optimization method based on improved position vector expectation improvement degree
ActiveCN112329140AImprove aerodynamic performanceImproves ability to multitaskGeometric CADSustainable transportationAlgorithmFlight vehicle
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.
Owner:BEIJING INSTITUTE OF TECHNOLOGYGY
Simulation testing method for mixed coarse aggregate compactness
InactiveCN103914592AQuick forecastAccurate predictionSpecial data processing applicationsPhysical modelComputer science
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.
Owner:SOUTHEAST UNIV
Optimization method for impeller hydraulic power of normal residual heat removal pump used for nuclear power plant
InactiveCN105485047AReduce workloadShorten the optimization cyclePump componentsPumpsImpellerOptimal combination
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.
Owner:江苏海狮泵业制造有限公司 +1
Method and system for optimizing wireless network based on antenna feeding device
InactiveCN102204316AImprove network performanceImprove efficiencyTransmitters monitoringAntenna detailsInformation gainEngineering
A method and a system for optimizing a wireless network based on an antenna feeding device are provided. The method includes that antenna feeding information of the antenna feeding device and performance information of the wireless network built by the antenna feeding device are obtained; a needed antenna feeding parameter is obtained by analyzing the antenna information and the performance information of the wireless network; the antenna feeding parameter is formed into a regulation-control command, the regulation-control command is transmitted to the antenna feeding device, and the antenna feeding parameter is regulated based on the regulation-control command by the antenna feeding device to optimize the network performance of the wireless network. According to embodiments of the present invention, the optimizing efficiency can be raised, the optimizing period can be shortened and the wireless network performance can be improved.
Owner:HUAWEI TECH CO LTD
Automobile bent profile welding deformation compensation method and system
PendingCN110955968ASize tolerance controlShorten the timeGeometric CADDesign optimisation/simulationStructural engineeringMaterial resources
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.
Owner:JIANGXI JIANGLING GRP NEW ENERGY AUTOMOBILE CO LTD
A lamination optimization method for a composite material structure
ActiveCN109583090AImprove calculation accuracyImprove efficiencyGeometric CADDesign optimisation/simulationMaterials scienceHuman language
The invention discloses a lamination optimization method for a composite material structure, and belongs to the field of aircraft structure mechanism design. According to the method, a finite elementmodel of the composite material laminated plate structure is established in the PATRAN according to the composite material structure needing to be optimized; Optimization objectives are set well, Constraint conditions, The method comprises the following steps: firstly, designing basic parameters such as variables according to NASTRAN calling parameters, thereby realizing subsequent content refinement of optimization algorithm embedding, optimization objectives, constraint conditions, design variables and the like on the basic parameters by using a PCL language, and finally establishing a composite material structure layering optimization model file for NASTRAN calling, thereby finishing the optimization design of the composite material structure layering.
Owner:CHINA ACAD OF LAUNCH VEHICLE TECH
Liquid cooling plate structure size optimization method based on Hyperstudy and Fluent joint simulation
PendingCN111859557AShorten the optimization cycleImprove optimization efficiencyGeometric CADDesign optimisation/simulationProcess engineeringEngineering
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.
Owner:HUAIAN JUNSHENG NEW ENERGY TECHNOLOGY CO LTD
Vibration damping control method and device for hybrid electric vehicle
ActiveCN110871806AOptimal control parametersImprove optimization effectHybrid vehiclesHybrid electrical vehicleControl theory
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.
Owner:ZHENGZHOU YUTONG BUS CO LTD
A lightweight implementation method and apparatus of a battery box
InactiveCN109359371AShorten the optimization design cycleOptimize Design EfficiencyDesign optimisation/simulationSpecial data processing applicationsQuality optimizationEngineering
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.
Owner:DONG HAN NEW ENERGY VEHICLE TECH CO LTD
Synergistic Combination Optimization Method for Matching Parameters and Control Strategy of Hybrid Electric Vehicle
ActiveCN110667566BImprove economyAvoid disadvantagesHybrid vehiclesControl devicesHybrid electrical vehicleVehicle driving
Owner:清华大学苏州汽车研究院(吴江)
Model optimization method, device and system, and equipment
PendingCN112799949AShorten the optimization cycleReduce upgrade deployment costsSoftware testing/debuggingEngineeringOperation model
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.
Owner:上海销氪信息科技有限公司
Multi-objective optimization method for liquid cooling plate, electronic equipment and storage medium
ActiveCN112818521AShorten the optimization cycleFully automatedGeometric CADDesign optimisation/simulationBatch processingHeat flow
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.
Owner:JIANGHAN UNIVERSITY
Method, device and system for predicting, evaluating and optimizing cement clinker performance
PendingCN113033923AQuality improvementShorten the optimization cycleForecastingCharacter and pattern recognitionCement factoryProcess engineering
The invention relates to a method, a device and a system for predicting, evaluating and optimizing cement clinker performance. The method comprises the steps of using a machine learning method, and building a cement clinker performance prediction model based on historical data of cement clinker production; obtaining production data of the cement clinker to be detected, and inputting the production data into the performance prediction model to obtain performance prediction data of the cement clinker to be detected; evaluating and analyzing the performance of the cement clinker to be detected; if the performance prediction data of the cement clinker to be detected meet the set requirements, directly outputting the performance prediction data; and if the performance prediction data of the to-be-tested cement clinker does not meet the set requirements, optimizing the production data of the to-be-tested cement clinker until the performance prediction data meets the set requirements. According to the method, a large amount of accumulated production data of a cement plant is utilized, the performance of the clinker is rapidly predicted and evaluated by constructing the performance prediction model of the cement clinker, and stable control and optimization improvement of the production quality of the clinker are achieved.
Owner:CHINA BUILDING MATERIALS ACAD
Multi-working-condition optimization design method for spokes of axial flow pump
ActiveCN110968970AMeet the combinationSimplify multi-objective optimization problemsArtificial lifeDesign optimisation/simulationAxial-flow pumpOrthogonal test design
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.
Owner:HOHAI UNIV
Short resident user discovery and short resident reason analysis method
ActiveCN110621027APinpoint location informationImprove satisfactionHigh level techniquesWireless communicationElectricityResidence
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.
Owner:POTEVIO INFORMATION ENG DESIGN SERVICE CO LTD
Engineering design optimization method and device based on genetic algorithm and proxy model
PendingCN113935235AImproved mutation methodImprove efficiencyDesign optimisation/simulationConstraint-based CADData setAlgorithm
The invention discloses an engineering design optimization method and device based on a genetic algorithm and an agent model. The method comprises the following steps: constructing a target agent model corresponding to a target function and a constraint agent model corresponding to a constraint function based on a sample data set; using a genetic algorithm to solve the target agent model, wherein mutation operation of the genetic algorithm comprises the steps of acquiring the fitness of each chromosome in the population Sn, and according to the maximum value and the minimum value in the fitness, the fitness of each chromosome and the value of each design variable in each chromosome, determining a mutation disturbance value corresponding to each design variable; adding a corresponding variation disturbance value on each design variable to obtain a varied chromosome; if the simulation termination condition is not met, newly adding a sample and updating the target agent model and the constraint agent model; and if the simulation termination condition is met, taking an optimal solution obtained by solving as an optimization result of the design variable and outputting the optimization result.
Owner:SYSWARE TECH CO LTD
Recommendation algorithm optimization method, device and system
ActiveCN104090893BShorten the optimization cycleImprove efficiencyMathematical modelsDigital data information retrievalComputer scienceAlgorithm optimization
Obtaining statistical effectiveness data of each recommendation algorithm; obtaining the traffic distribution probability of each recommendation algorithm according to the weight of the effectiveness data of each recommendation algorithm in the recommendation algorithm; distributing traffic requests for each recommendation algorithm according to the traffic distribution probability.
Owner:SHENZHEN TENCENT COMP SYST CO LTD
Data library construction method optimized by intelligent algorithm
ActiveCN110222022BShorten the optimization cycleImprove fault toleranceNeural architecturesFile/folder operationsData setData graph
The invention discloses a method for constructing a data library optimized by an intelligent algorithm, which comprises the following steps based on a big data processing framework: step S1, establishing a distributed storage system for data sets; step S2, building a deep learning framework; step S3, pre- The intelligent optimization algorithm is set to optimize the training algorithm model to be trained. The invention shortens the algorithm optimization cycle and lowers the artificial intelligence threshold.
Owner:武汉剑心科技有限公司
Virtual drilling equipment system for drilling process optimization
InactiveCN104317261AShorten the optimization cycleTo achieve the purpose of safe operationTotal factory controlProgramme total factory controlProcess optimizationControl system
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.
Owner:苏州耐克斯特能源开采技术有限公司 +2
An optimization method of fuel injection strategy for in-cylinder direct injection engine
ActiveCN112922761BGuaranteed accuracyEffective guide optimizationInternal combustion piston enginesEngine testingProcess engineeringGas mixing
The invention discloses a method for optimizing the fuel injection strategy of an in-cylinder direct injection engine, which comprises the following steps: step 1, simplify the engine operating condition map to minimap; step 2, test the spray characteristics of the fuel injector; step 3 , according to the test conditions and test data of the spray characteristics, the spray model of the simulation tool is revised; in step 4, the DOE design of the fuel injection strategy parameters is carried out, and the simulation tool is used to simulate the oil and gas mixing process in the cylinder, and the oil and gas distribution is adjusted according to the engine operating conditions. According to the requirements, the theoretical optimal fuel injection strategy is obtained. Step 5, bench verification and calibration are performed to complete the minimap fuel injection strategy optimization; Carry out bench verification and calibration, and complete the fuel injection strategy optimization of the engine operating condition map. It can avoid destroying the engine prototype, reduce the development cost and shorten the development cycle.
Owner:CHONGQING CHANGAN AUTOMOBILE CO LTD
Diagnostic analysis method for short residence in network
ActiveCN111065125ASolve performance deficienciesImprove targetingHigh level techniquesWireless communicationData acquisitionEngineering
The invention discloses a diagnostic analysis method for short residence in a network. The method comprises the steps of: S1, data collection: switching data based on IMSI is obtained through an XDR data module, then the cell switching-in time of a user is extracted, then the cell switching-out time of the user is extracted, and the time difference between the cell switching-out time of the user and the cell switching-in time of the user is utilized. The invention discloses a diagnostic analysis method for short residence in a network. Under the condition that the current short residence problem is common and the discovery means are deficient; according to the invention, an effective and accurate positioning and analysis means is provided; effective data support is provided for problem analysis and solution; the XDR user big data is creatively utilized, the problem that the comprehensiveness of traditional drive test data is insufficient is effectively solved, and on the whole, the purposes of saving energy, reducing emission, reducing drive test expenditure, shortening the optimization period and bringing higher user satisfaction can be achieved.
Owner:武汉宁润软件信息技术有限公司
Aerodynamic optimization method of variant aircraft based on improved position vector expectation improvement
ActiveCN112329140BImprove aerodynamic performanceImproves ability to multitaskGeometric CADSustainable transportationAlgorithmFlight vehicle
The aerodynamic optimization method of a variant aircraft for improving the expected improvement degree of the position vector disclosed by the invention belongs to the technical field of overall optimization of the aircraft. Select the initial reference airfoil and related shape coefficients to determine the design conditions; establish an optimization model considering structural consistency constraints to solve the shape coefficient of the deformed airfoil, and establish a high-precision aerodynamic analysis model to solve the lift coefficient and drag coefficient of the airfoil; establish The Kriging surrogate model of the high-precision aerodynamic analysis model, optimize the Kriging surrogate model to obtain a pseudo-non-dominated solution, and determine whether the prediction variance of the Kriging surrogate model is greater than the threshold; if the prediction variance is not less than the threshold, use the position vector expectation improvement criterion to obtain new samples The point is used to update the Kriging surrogate model, otherwise the new sample points are filtered from the pseudo-non-dominated solution to update the Kriging surrogate model. By filtering new sample points, the accuracy of the Kriging surrogate model at the Pareto frontier is improved, the optimality and distribution of the optimized non-dominated solution are improved, and the optimization efficiency is improved and the cost is saved.
Owner:BEIJING INSTITUTE OF TECHNOLOGYGY
A reactive power optimal control method for large-scale doubly-fed wind farms
ActiveCN111987747BReduce the impact of reactive power optimizationIncrease active powerSingle network parallel feeding arrangementsReactive power adjustment/elimination/compensationControl engineeringPower grid
Owner:HUNAN UNIV
A method for optimal design of axial flow pump spokes in multiple working conditions
ActiveCN110968970BMeet the combinationSimplify multi-objective optimization problemsArtificial lifeDesign optimisation/simulationAxial-flow pumpOrthogonal test design
The invention discloses a method for the multi-working condition optimization design of the spokes of an axial flow pump, comprising the steps of: determining the initial conditions for the multi-working conditions optimal design of the spokes, including design parameters and typical operating conditions; reasonably arranging tests based on the orthogonal test design program, and numerically calculate the test program for each typical working condition to obtain the head value of each sample point; use the multivariate quadratic regression model to establish the functional relationship between the spoke parameters and the head; use the comprehensive objective method to transform the multi-objective optimization problem into The combination of linear weighting method and particle swarm optimization algorithm is used to obtain the optimal parameter combination of spokes under multi-working conditions, and its improvement effect is verified and analyzed. The invention can effectively suppress the formation of "saddle area" under the stall condition while ensuring that the external characteristics of the axial flow pump are not affected under the rated working condition, and is beneficial to improving the overall hydraulic performance of the axial flow pump.
Owner:HOHAI UNIV
Information pushing method and device
PendingCN113763112AHigh viscosityImprove accuracyDigital data information retrievalForecastingSimulationBehavioral data
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.
Owner:BEIJING WODONG TIANJUN INFORMATION TECH CO LTD +1
A traceability method for gpu computing performance problems
ActiveCN110109811BImprove accuracyShorten the optimization cycleHardware monitoringDeep levelSource tracing
The invention provides a tracing method for a GPU computing performance problem. The method comprises the following steps: (1) describing behavior characteristics of a CUDA program kernel function level by using a CUDA task parallel model CTPM, thereby identifying a performance low-efficiency behavior of the CUDA program kernel function level, and expanding kernel function level performance optimization work; and (2) for the internal data parallel part of the CUDA program kernel function, using a hierarchical iteration attribute reduction algorithm LIAR to identify the key metric, performing deep performance mining on the CUDA program, and optimizing the internal performance problem of the CUDA kernel function. According to the method, by analyzing the CUDA development operation environment and the programming model based on the GPU hardware characteristics, an effective performance problem tracing method is found, the accuracy of performance bottleneck positioning is improved, and thepurpose of shortening the optimization period is achieved.
Owner:BEIJING WUZI UNIVERSITY
A Method of Energy Management Based on Working Condition Recognition
ActiveCN113552803BRealize identificationImprove economyInternal combustion piston enginesAdaptive controlCluster algorithmGenetics algorithms
The invention discloses an energy management method based on working condition identification, which includes, using the K-means clustering algorithm to classify the working conditions of four typical working conditions, and calculating the cluster centers of the four typical working conditions; The minimum control strategy for effective fuel consumption; combining the multi-island genetic algorithm and the sequence quadratic programming algorithm, and using the Task component in the Isight software to construct a combined optimization model; using the combined optimization model to analyze the variables and four typical equivalent fuel consumption minimum control strategies The cluster centers of the working conditions are integrated and optimized to obtain the final cluster centers and the corresponding optimal equivalent fuel coefficients under four typical working conditions; extract a section of random driving condition characteristic parameters, and classify the working conditions. The typical working condition type and the optimal equivalent fuel coefficient are used for optimal distribution of power; the invention can realize the identification of working condition characteristic parameters, and at the same time solve the shortcomings of a single local or global optimization algorithm.
Owner:GUILIN UNIV OF ELECTRONIC TECH +1
An optimization method and device for strategy allocation
ActiveCN109255486BShorten the optimization cycleExamples cannot be limitedForecastingPayment protocolsConfiguration optimizationComputer science
Disclosed are an optimization method and device for strategy configuration. A strategy configuration optimization method, the method includes: determining the strategy configuration to be optimized in the initial strategy; obtaining the prediction result output by using the current strategy configuration in the strategy to the preset test data, and performing statistics on the prediction result to obtain at least one Index value, the index value is used to judge whether the current business index meets the preset requirements; if the current business index does not meet the preset requirements, the policy configuration is optimized, and the optimization process includes: Adjust the combination of risk features, adjust the digital symbols used to represent the relationship between risk features and feature values, or adjust the feature values corresponding to the risk features included in the policy configuration; after optimization, if the current business indicators If the preset requirements are met, it is determined that the policy configuration in the current policy is an available policy configuration.
Owner:ADVANCED NEW TECH CO LTD
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