Product
Patsnap Eureka
For R&D, Patsnap Eureka makes reading and utilizing patents & technical documents easy.
Patsnap Eureka AIR
Designed for self-driven R&D workflows. Generate viable solutions, solve complex R&D challenges, empower your innovation with AI.
Patsnap Eureka Materials
Designed for material experts only. Revolutionize your material R&D, from search, analyze, to developing new materials.
Feature
TechResearch
Generate reliable direction feasibility study reports for your R&D in just a few steps.
TechSeek
Discover and master advanced knowledge NOW. Basics, ideas, possibilities, all at once.
TechMind
As an expert in R&D Theories, TechMind can generates customized viable solutions instantly.
TechRisk
Analyze your overall solution with one click, know your potential R&D risks in advance.
TechMonitor
Get weekly tech updates, stay abreast of the latest tech innovations and key insights.
Patents
Literature
Hiro is an intelligent assistant for R&D personnel, combined with Patent DNA, to facilitate innovative research.
47results about How to "Solve modeling problems" patented technology
Efficacy Topic
Property
Owner
Technical Advancement
Application Domain
Technology Topic
Technology Field Word
Patent Country/Region
Patent Type
Patent Status
Application Year
Inventor
Simultaneous localization and mapping method of monocular vision robot based on retracking strategy
ActiveCN106885574AImprove completenessThe solution cannot be estimatedNavigational calculation instrumentsPhotogrammetry/videogrammetryTemporary variableSimultaneous localization and mapping
The invention discloses a simultaneous localization and map construction method of a monocular vision robot based on a retracking strategy. The method comprises the following steps: 1) extracting ORB characteristics of each picture; 2) tracking camera postures by utilizing characteristic matching of the adjacent pictures; 3) carrying out relocation and retracking strategy on pictures which are not tracked; 4) if the relocation is successfully executed, estimating postures of a current camera; stopping the retracking strategy and deleting a temporary variable generated by the retracking strategy; 5) if the retracking strategy is successfully executed, generating a new track; 6) judging the quantity of the generated tracks; if the quantity is more than a threshold value, eliminating an initial track; 7) carrying out closed-loop detection on each key frame and carrying out track fusion after the detection is successful; 8) when a localization system is finished, screening the tracks to obtain one track with the accurate posture. The simultaneous localization and map construction method disclosed by the invention has the advantages that the complete camera track can be located under the conditions of rapidness in movement, shielding, insufficient textures and illumination changes.
Owner:PEKING UNIV SHENZHEN GRADUATE SCHOOL +1
Virtual power plant combined heat and power scheduling robust optimization model
InactiveCN106127389ASolve modeling problemsReduce riskEnergy industryResourcesRobustificationDistributed generator
The invention provides a virtual power plant combined heat and power scheduling robust optimization model. A model aggregation unit comprises a distributed generating set, a wind turbine generator set, a photovoltaic set, a combined heat and power (CHP) set, a boiler, electric energy storage, heat energy storage, an electric load and a heat load. Participation of the CHP set in the SRM (Spinning Reserve Market) situation is considered. Aiming at the facing uncertain problem of a virtual power plant (VPP) and resulting risks, robust optimization (RO) is utilized to process uncertainty of the EM electricity price, the SRM electricity price, the wind power capacity, the photovoltaic capacity, the electric load and the heat load, and risk quantification indexes are established, and thus robustness and economical efficiency of a RO model are balanced. The model provided by the invention well solves the existing combined heat and power scheduling optimization model establishment problem of the VPP when participating EM and SRM at the same time, and improves flexibility of decision making, and thus the profit of the VPP is increased. Meanwhile, the introduction of the RO model effectively reduces system risks, and thus the effective reference is provided for a decision maker to select a proper robust factor.
Owner:HOHAI UNIV
Operation back pressure continuous optimized control method and system for air-cooled generator unit steam turbine
ActiveCN105571343ARealize real-time online predictionSolve modeling problemsSteam/vapor condensersMachines/enginesThermal energyMathematical model
The invention relates to an operation back pressure continuous optimized control method and system for an air-cooled generator unit steam turbine, belongs to the field of optimized control of condensing type steam turbine circulation in the large thermal power generation process of fire coal, gas, nuclear energy and the like, and particularly relates to the field of direct air-cooled condenser back pressure or vacuum optimized control. Universal methods of operation back pressure continuous optimized control of a large direct air-cooled generator unit steam turbine are realized and include a cold source optimized mathematical model of complete constant characteristic parameters including blocking back pressure, a method taking necessary time-varying factor influences into consideration and a method for measuring the constant characteristic parameters, computer software is developed by means of the methods, the computer software is used for online calculation to obtain the optimal solution or cycling comparison calculation through the enumeration method so that a vacuum optimized control scheme can be obtained. The obtained vacuum optimized control scheme serves as a basis of strict and systematic vacuum optimized operation, and vacuum automatic and optimized control is achieved.
Owner:北京互嘉联盟科技中心(有限合伙)
Oilfield pumping unit oil pumping energy saving and production increasing optimization method based on back propagation neural network (BPNN) and strength Pareto evolutionary algorithm 2 (SPEA2)
ActiveCN103177155AStrong non-linear mapping abilitySolve modeling problemsBiological neural network modelsSpecial data processing applicationsLower limitBack propagation neural network
The invention discloses an oilfield pumping unit oil pumping energy saving and production increasing optimization method based on the back propagation neural network (BPNN) and the strength Pareto evolutionary algorithm 2 (SPEA2). The method is characterized by including the following steps: step 1, calculating decision variables X; step 2, collecting samples of power consumption and samples of oil production Y to acquire a sample matrix; step 3, building a process model of oil pumping of a pumping unit; step 4, optimizing each decision variable in the range of an upper limit and a lower limit of each decision variable by using the SPEA2 based on a BPNN model; step 5, guiding actual production if the power consumption is reduced and the oil production is improved, and if not, returning the process to the step 1, changing S1 decision variables X on purpose and screening the decision variables X again; and step 6, assigning S1+1 to the S1, and returning the process to the step 1 if the combination of the set S1 decision variables X can not enable the power consumption to be reduced and the oil production to be improved. The oilfield pumping unit oil pumping energy saving and production increasing optimization method based on the BPNN and the SPEA2 has the advantages that an optimal value of technological parameters can be determined, and actual production guiding can be carried out according to the optimized technological parameter optimal value.
Owner:CHONGQING UNIVERSITY OF SCIENCE AND TECHNOLOGY
Method for predicting multiple criminal names by using sequence generation network based on multilayer attention
ActiveCN111026869AEfficient extractionSolve modeling problemsSemantic analysisCharacter and pattern recognitionOriginal dataInformation representation
The invention relates to a method for predicting multiple criminal names by using a sequence generation network based on multi-layer attention, which better realizes context content dependence betweentexts on the basis of fusing a neural network and an attention mechanism so as to more accurately extract multiple criminal names of text contents. An original data set is transformed based on a multi-criminal-name prediction model of a multi-layer attention mechanism (nested word-level and sentence-level attention mechanisms), and then association information among criminal names is fused into the model through logical connection among criminal law criminal names. According to the method, a legal provision extractor and a legal provision text encoder are added, legal provision information isintroduced, text information irrelevant to a criminal name is filtered out from an original text through attention operation, information representation of a text corresponding to the criminal name to be predicted is enhanced, and therefore the prediction precision of the model on the criminal name to be predicted is improved.
Owner:SHANDONG UNIV +1
Modeling method for high-compactness discrete particle heterogeneous system
ActiveCN107423498AGuaranteed uniformitySolve modeling problemsDesign optimisation/simulationSpecial data processing applicationsParticle packingComputational physics
The invention discloses a modeling method for a high-compactness discrete particle heterogeneous system. The method comprises the following steps that: determining a model boundary; drawing up the volume sum of particle phases in each dimension range in the model; generating the compression models of the particle models in all dimension ranges; carrying out expansion on each particle in the compression model; and obtaining a high-compactness particle accumulation model. The method can be used for enhancing the modeling of microstructures including particle reinforced composite materials, soft substance particle materials, particle accumulation materials and the like, and can be expanded and applied to short fiber enhanced composite materials. By use of the method, a modeling problem generated when particles and the model boundary are cross is solved, and the modeling method can be applied to the modeling and the analysis of a composite material specimen of which the edge is subjected to machining.
Owner:SHANDONG UNIV
Optimization method of achieving oil field pumping unit oil-extraction energy conservation and production increasing with back propagation (BP) neural network and non-dominated sorting genetic algorithm (NSGA) 2
ActiveCN103198354AStrong non-linear mapping abilitySolve modeling problemsBiological neural network modelsProcess engineeringOil production
An optimization method of achieving oil field pumping unit oil-extraction energy conservation and production increasing with a back propagation (BP) neural network and a non-dominated sorting genetic algorithm (NSGA) 2 is characterized by comprising the steps of (1) determining a decision variable X; (2) collecting power consumption and oil production Y, and obtaining a sample matrix; (3) building a pumping unit oil extraction process model with the decision variable X as input and the power consumption and oil production Y as output; (4) optimizing the decision variable with the NSGA2 multiobjective evolutionary algorithm; (5) and substituting the optimized decision variable X optimization value in a back propagation neutral network (BPNN) model to guide practical production. The optimization method has the advantages that the best ideal point of production increasing and energy conservation can be searched out, the optimal values of process parameters can be determined, and practical production guidance is carried out according to the optimized process parameter optimal values.
Owner:重庆华燊科技集团有限公司
SUKF (Self-calibration Unscented Kalman Filter)
InactiveCN107565931ASolve modeling problemsReduce adverse effectsAdaptive networkDigital technique networkFilter systemSystem time
The present invention provides a self-calibration unscented Kalman filter method, the steps are as follows: one: establish a nonlinear discrete system including unknown input; two: initialize the system composed of formula (1) and formula (2); three: Time update the system; four: combined with the measurement information, measure and update the state one-step prediction and one-step prediction error variance matrix; five: perform iterative calculation; through the above steps, the present invention introduces the self-calibration technology into the unscented Kalman Filtering method, the newly obtained self-calibrating unscented Kalman filtering method firstly solves the modeling problem of the nonlinear system affected by the unknown input. The adverse effect of filtering results greatly reduces the phenomenon of filtering divergence, thereby improving the filtering accuracy, and at the same time, as a filtering method that can resist system uncertainty, it improves the robustness of the system.
Owner:BEIHANG UNIV
Method for building energy function of generator excitation controller
ActiveCN105162377AEasy to writeSolve modeling problemsComplex mathematical operationsGenerator control by field variationBuilding energyVoltage regulation
Owner:KUNMING UNIV OF SCI & TECH
Abnormal detection method of machine tool spindle
ActiveCN109909803AAvoid uncertaintyImprove robustnessMeasurement/indication equipmentsPrincipal component analysisComputational model
The invention relates to an abnormal detection method of a machine tool spindle. The abnormal detection method of the machine tool spindle comprises the following steps of machine tool spindle variable speed no-load test, data preprocessing and feature extraction, and model training and model prediction. Variable speed no-load test data are used for performing data analysis and spindle health condition modeling; data preprocessing and feature extraction algorithms are deployed to an edge device and carried on; and principal component analysis (PCA) algorithm is used for establishing a baselinemodel of the spindle health condition, and a residual error (SPE) of a model predicted value and HotellingT2 statistical magnitude (T2)are calculated to detect spindle anomaly. The abnormal detectionmethod of the machine tool spindle can realize real-time monitoring of the machine tool spindle health condition, accurately predict spindle anomaly, and has good operability and universality.
Owner:CYBERINSIGHT TECH CO LTD
Programmable heterogeneous modeling system
ActiveCN107480365AReduce sizeSolve modeling problemsAdditive manufacturing apparatusConfiguration CADSimulation3D reconstruction
The invention belongs to the field of 3D model modeling, and discloses a programmable heterogeneous modeling system. The modeling system comprises a meta model library, an operation operator library, a programmable heterogeneous modeling model, a model file generating model and a 3D reconstruction rendering module; the meta model library and the operation operator library are used for storing meta models and operation operators; the programmable heterogeneous modeling model calls the meta models and the corresponding operation operators through an interactive operation, the meta models are computed through the operation operators, and 3D model programmable heterogeneous modeling operation flow meeting requirements is obtained; in this way, a 3D model file is generated; the 3D reconstruction rendering module reads the generated 3D model file, the corresponding programmable heterogeneous modeling operation flow is reduced, 3D model information is obtained after computing is conducted, and 3D model display is completed by outputting a display module. By means of the system, a more convenient heterogeneous model modeling method is provided, and the size of the finally generated model file is reduced.
Owner:HUAZHONG UNIV OF SCI & TECH
Multi-loop multi-splitting ground wire three-dimensional model real-time construction method for 500kV tower
ActiveCN104834788AImportant economic value and social valueGuaranteed production at scaleData processing applicationsSpecial data processing applicationsThree dimensional modelPoint model
The invention discloses a multi-loop multi-splitting ground wire three-dimensional model real-time construction method for a 500kV tower. The method is characterized in that firstly, according to basic machine account data, tower and mount point model construction is finished in advance, the corresponding relationship of tower mount points is determined by means of a tower mount point encoding relation algorithm, and a ground wire sag curve in a design state is simulated; then, by means of business parameter fusion, ground wire spatial connection is carried out automatically according to actual conditions, and the ground wire sag curve in the design state is corrected; then, by means of business parameter fusion, ground wire spatial connection is carried out automatically according to actual conditions. The method guarantees modular generation of three-dimensional forming, accords with actual operation conditions, achieves the aim of three-dimensional simulation of a power transmission line, and has important economic and social value.
Owner:FOSHAN POWER SUPPLY BUREAU GUANGDONG POWER GRID
Distribution function-based WCET (Worst Case Execution Time) quick estimation method
InactiveCN104572103AEasy to implementEasy to operateSoftware testing/debuggingSpecific program execution arrangementsProgram evaluation and review techniqueWorst-case execution time
The invention provides a distribution function-based WCET (Worst Case Execution Time) quick estimation method. The method comprises the following steps: disassembling a DSP (Digital Signal Processor) project objective code (out file) to obtain a disassembled file F; analyzing the disassembled file F to acquire each divided basic block to obtain a basic block set B of a program; recognizing relation between every two basic blocks in the basic block set B to construct a program flow graph C; calculating execution time T of each basic block; obtaining weighted program flow graph Cw by weighting the basic block execution time T and the basic block execution frequency Ts; analyzing the weighted program flow graph Cw to obtain a path with the maximum total weight value and taking the maximum total weight value as the WCET. The defect that a program is required to be operated to obtain a test sample in the prior art is overcome, and the problems of more manual intervention and irrationality of a beta distribution parameter estimation method in the conventional PERT (Program Evaluation and Review Technique) are solved.
Owner:XIAN INSTITUE OF SPACE RADIO TECH +1
Aero-engine reliability analysis method based on multi-state multi-valued decision diagram
ActiveCN110210150AReduce sizeSmall scaleGeometric CADSustainable transportationMulti valuedState-space representation
The invention discloses an aero-engine reliability analysis method based on a multi-state multi-valued decision diagram, and mainly solves the problem of overlarge state space in multi-state system modeling in the prior art. The implementation scheme comprises the following steps: 1) establishing a multi-state multi-value decision diagram model of a bottom event; 2) sorting the bottom events of the dynamic doors; 3) establishing a multi-state multi-value decision diagram model of the static door and the dynamic door; 4) sequencing the bottom events in a non-descending order according to the number of event states; 5) adjusting the sequence of the bottom events in the step 4); and 6) establishing a multi-state multi-value decision diagram model of the aero-engine rotor system according to the bottom event sequence of the step 5). According to the method, the influence of the state number of the bottom event on the size of the multi-state multi-value decision diagram is considered; the optimized bottom event sequence is obtained by sorting the bottom events, the size of the multi-state multi-value decision diagram is reduced, the scale of the state space in the system reliability analysis model is reduced, and the method can be used for carrying out reliability analysis on the aero-engine rotor system.
Owner:XIDIAN UNIV
Modeling method of LCC-MMC series hybrid direct-current power transmission system
ActiveCN112072690AEasy to operateImprove scalabilityElectric power transfer ac networkAc-dc conversionDynamic modelsPower transmission
The invention discloses a modeling method of an LCC-MMC series hybrid direct-current power transmission system, and belongs to the field of power system modeling. The LCC-MMC series hybrid direct-current power transmission system is divided into two parts, namely a main circuit and a controller, an equivalent circuit of a converter is used for replacing the converter, the equivalent circuit of themain circuit is established, and then a dynamic model of the main circuit is established by utilizing a Kirchhoff voltage law KVL and a Kirchhoff current law KCL. The equivalent circuits of the LCC and the MMC are used for replacing the LCC and the MMC for the first time, and the modeling problem of the LCC-MMC series system is solved. A dynamic model of the LCC-MMC series hybrid direct current power transmission system is a basis for establishing a steady-state model and a small-signal model of the LCC-MMC series hybrid direct current power transmission system. The whole modeling method hasthe advantages of being simple to operate and easy to expand.
Owner:HUAZHONG UNIV OF SCI & TECH +2
Hybrid state estimation method for high-dimensional coupling uncertainty system
ActiveCN111310110ASolve modeling problemsReduce system dimensionalityTotal factory controlComplex mathematical operationsAlgorithmEstimation methods
The invention provides a hybrid state estimation method for a high-dimensional deep coupling uncertain system, which comprises the following steps of: firstly, constructing a state, parameter and measurement model of the high-dimensional deep coupling uncertain system, and designing a corresponding observer model to obtain estimated values of the state and the parameter; secondly, discretizing thesystem to decompose the system into a low-dimensional discretized hybrid model, and further obtaining the low-dimensional discretized hybrid model and a parameter model; and finally, taking the observer output estimation value as an auxiliary signal, performing filtering processing on the state estimation value of the low-dimensional discretization hybrid model by using a volume Kalman filteringalgorithm, and outputting a state value of the low-dimensional discretization hybrid model. According to the method, the system model is corrected through the estimated value output by the observer, the system state estimation precision can be effectively improved on the premise that the system stability is guaranteed, meanwhile, the calculation dimension of the filtering calculation process is reduced through the low-dimensional volume Kalman filtering algorithm, and the method is suitable for high-dimensional, coupled and nonlinear system state estimation with uncertainty.
Owner:ZHENGZHOU UNIVERSITY OF LIGHT INDUSTRY
Crack image recognition and modeling method
ActiveCN110634131AResolve identifiabilitySolve modeling problemsImage enhancementImage analysisPattern recognitionImaging processing
The invention discloses a crack image identification and modeling method. The method comprises the following steps: 1, carrying out coarse identification on a crack image based on a deep learning Mask-RCNN network and obtaining a coarse extraction crack image; 2, performing OpenCV image processing on the roughly extracted crack image to obtain pixel coordinates of inflection points and abrupt change points of the cracks on the two-dimensional image; 3, performing image feature matching by using an SIFT algorithm to obtain coordinates of homonymous points; and 4, constructing a three-dimensional model of the crack. According to the invention, the advantages of the deep learning image recognition technology and the OpenCV image processing technology are combined; the image recognition methodfrom coarse recognition to accurate recognition is formed, the recognition accuracy is effectively improved, crack three-dimensional modeling is finally generated by means of extraction of picture coordinates of different angles at the same crack position, the problem that cracks are difficult to recognize and model due to small sizes is solved, and the method is high in feasibility and robustness.
Owner:NANJING UNIV OF SCI & TECH
Unity-based infrared decoy bomb efficiency simulation method and system
ActiveCN112685913ASolve modeling problemsRealize delivery strategySustainable transportationDesign optimisation/simulationComputational scienceDimensional simulation
The invention provides a Unity-based infrared decoy bomb efficiency simulation method and system, and relates to the technical field of computer simulation, and the method comprises the steps: 1, designing and generating a decoy bomb physical model according to the features of an actual decoy bomb; 2, generating a decoy bomb simulation model and a particle effect through a particle system assembly according to the decoy bomb physical model; 3, generating a three-dimensional live-action terrain model according to the satellite picture and the terrain data; 4, establishing a three-dimensional simulation model according to the boundary dimensions of simulation objects such as airplanes and missiles; 5, rendering the decoy bomb particle effect and the three-dimensional simulation model into an infrared simulation image; and 6, transmitting the infrared simulation image to a simulation algorithm module, and updating a simulation state according to a simulation algorithm operation result. According to the method, the modeling problem of the decoy bomb object in infrared image simulation can be solved, and control over the throwing strategy and the throwing opportunity in infrared decoy bomb simulation is achieved.
Owner:SHANGHAI JIAO TONG UNIV
User track prediction method and system based on multi-relation fusion analysis
PendingCN114461931AImprove forecast accuracyImprove robustnessDigital data information retrievalForecastingRelation graphAlgorithm
The invention relates to a user track prediction method and system based on multi-relation fusion analysis. According to the method, a trajectory relation graph is constructed according to a historical trajectory similarity relation and a position proximity relation of users, and then a future trajectory of a target user is predicted by using a trajectory prediction model integrated with an attention mechanism based on a relation between the users in the trajectory relation graph. According to the method, the time regularity characteristic of user travel is fully considered, the social behavior information in the crowd is fully mined, and the prediction precision is obviously improved; according to the method, the influence is calculated by using the trajectory relation graph integrated with the attention mechanism, and the difference of the influence of different users on the trajectory is integrated, so that the method is more in line with the actual situation; according to the method, the trajectory behavior information of pedestrians adjacent in position is utilized, the trajectory conditions of users with similar historical trajectories are also considered, two influencing crowds are combined together to construct the trajectory relation graph, and the problem of how to model various types of information is solved.
Owner:NAT COMP NETWORK & INFORMATION SECURITY MANAGEMENT CENT +1
Co-simulation method and system for complex weapon system combat process
ActiveCN105787141BExtended Modeling ElementsSolve modeling problemsSpecial data processing applicationsView modelCo-simulation
The invention discloses a collaborative simulation method and system for a complex weapon system operation process. The collaborative simulation method comprises the following steps: describing and verifying a time sequence of the complex weapon system operation process by utilizing SysML modeling language, and establishing a SysML view model of the time sequence of the complex weapon system operation process; establishing a time Petri network model of each subsystem operation process of a complex weapon system; establishing a complex weapon system operation process HLA simulation federation, and then performing distributed simulation of the complex weapon system operation process. The technical scheme provided by the invention solves modeling problems of SysML and Petri networks in the complex weapon system operation process, a problem that integrated simulation is difficult to be performed on a complex weapon system operation process through one Petri network, and a problem of distributed simulation of Petri network models of multiple operation units.
Owner:BEIJING SIMULATION CENT
Flexible load modeling method and device of load side
ActiveCN113935203AOptimizing Coordination and SchedulingSolve modeling problemsData processing applicationsDesign optimisation/simulationElectric vehiclePower station
The invention discloses a flexible load modeling method and device of a load side, and the method comprises the steps: constructing an interruptible load model according to the demand response characteristics of an interruptible load; constructing a transferable load model according to the demand response characteristics of the transferable load and the demand response excitation strategy of the transferable load; constructing a user side energy storage model according to the service mode of the user side energy storage power station; performing equivalence on the air conditioner load by adopting the equivalent thermal parameter model, and constructing an air conditioner load model; constructing an electric vehicle load model according to the operation characteristics of different types of electric vehicles; and in combination with the interruptible load model, the transferable load model, the user side energy storage model, the air conditioner load model and the electric vehicle load model, obtaining a load side flexible load model. By adopting the flexible load model of the load side constructed by the invention, the flexible load of the load side can be accurately analyzed, and the coordinated scheduling of various flexible loads can be optimized.
Owner:CHINA SOUTH POWER GRID ELECTRIC POWER RES INST
Heterogeneous data cooperative modelling industrial fault detection method based on neighborhood projection preservation
ActiveCN109885032ASolve modeling problemsReduce false alarmsElectric testing/monitoringPower flowWeight coefficient
The invention provides a heterogeneous data cooperative modelling industrial fault detection method based on neighborhood projection preservation, and belongs to the technical field of the fault monitoring and diagnosis. The method comprises the specific steps as follows: collecting N groups of current and image data; solving a structure weight coefficient of each image data; establishing a current neighborhood projection map dovetailing matrix; rejecting the data greater than the current neighborhood weight threshold, and performing normalization; constructing a target function, and solving aprojection vector optimal solution by using a manifold dimension reduction method; performing dimension reduction on the image data produced in the electrolytic magnesium process after graying; and performing fault detection on the dimension-reduced image data by using a SVM classification method. A heterogeneous data modelling problem is mainly solved, the fault detection is performed when the image information and the current information are combined, a process monitoring result for the method shows that the false alarm is greatly reduced, and the accuracy of the fault detection is furtherimproved.
Owner:NORTHEASTERN UNIV
Gasoline octane number prediction method based on production data
PendingCN112560930ASolve modeling problemsAccurate predictionForecastingCharacter and pattern recognitionFeature setAlgorithm
The invention provides a gasoline octane number prediction method based on production data. Data of a gasoline desulfurization device is collected in advance, and the data is preprocessed. And according to the preprocessed production data feature set, feature selection is carried out by using a Boruta algorithm, shadow features are randomly rearranged according to a proportion P when the shadow features are created, optimal sub-features are obtained through multiple times of cyclic marking, and finally, the gasoline octane number is predicted by using an XGboost model. According to the gasoline octane number prediction method based on the production data, a machine learning algorithm model is applied to the field of chemical production, features are extracted through an improved Boruta algorithm, all important features are extracted while the operation efficiency is improved, the independence of the features is reserved, and the gasoline octane number is accurately predicted through anXGboost model on the basis of feature extraction.
Owner:SHANGHAI MARITIME UNIVERSITY
Three-dimensional stratum modeling method based on drilling data
The invention discloses a three-dimensional stratum modeling method based on drilling data, and belongs to the field of computer science visualization, and the method comprises the steps: carrying out the statistics of original drilling data in a modeling region through the processing of the drilling data, and obtaining a table related to the drilling number, sounding depth, coordinate data and layering information; establishing a point model reading table, establishing a drilling database, and constructing hierarchical point model data according to drilling information; kriging interpolation is carried out, a layered point data model is exported for Kriging interpolation, virtual drilling data of each layer is obtained and imported into a drilling database, and the established point model is updated; surface models are established, each layer model is established according to the drilling data, and the curved surface is edited according to the contact condition of the control points and the curved surface; the method comprises the following steps: establishing a three-dimensional stratum model, selecting a modeling area, selecting all stratums to construct stratum columns, establishing a stratum plane, adjusting the stratum plane according to an actual profile map and the like, establishing a geological grid, and finally generating the three-dimensional stratum model.
Owner:ANHUI UNIV OF SCI & TECH
A Modeling Method for LCC-MMC Series Hybrid DC Transmission System
ActiveCN112072690BEasy to operateImprove scalabilityElectric power transfer ac networkAc-dc conversionSmall-signal modelDynamic models
The invention discloses a modeling method of an LCC-MMC series hybrid direct current transmission system, which belongs to the field of power system modeling. In the present invention, the LCC-MMC series hybrid direct current transmission system is divided into two parts, the main circuit and the controller. First, the equivalent circuit of the converter is used to replace the converter, and the equivalent circuit of the main circuit is established. The voltage law KVL and Kirchhoff's current law KCL establish a dynamic model of the main circuit. For the first time, the equivalent circuits of LCC and MMC are used to replace LCC and MMC, and the modeling problem of LCC-MMC series system is solved. The dynamic model of the LCC-MMC series hybrid DC transmission system is the basis for establishing its steady-state model and small-signal model. The whole modeling method has the advantages of simple operation and easy expansion.
Owner:HUAZHONG UNIV OF SCI & TECH +2
A real-time construction method of 3D model of multi-circuit and multi-split ground wire for 500kV tower
ActiveCN104834788BGuaranteed production at scaleTo achieve the purpose of 3D simulationData processing applicationsSpecial data processing applicationsThree dimensional simulationSimulation
The invention discloses a multi-loop multi-splitting ground wire three-dimensional model real-time construction method for a 500kV tower. The method is characterized in that firstly, according to basic machine account data, tower and mount point model construction is finished in advance, the corresponding relationship of tower mount points is determined by means of a tower mount point encoding relation algorithm, and a ground wire sag curve in a design state is simulated; then, by means of business parameter fusion, ground wire spatial connection is carried out automatically according to actual conditions, and the ground wire sag curve in the design state is corrected; then, by means of business parameter fusion, ground wire spatial connection is carried out automatically according to actual conditions. The method guarantees modular generation of three-dimensional forming, accords with actual operation conditions, achieves the aim of three-dimensional simulation of a power transmission line, and has important economic and social value.
Owner:FOSHAN POWER SUPPLY BUREAU GUANGDONG POWER GRID
Air-cooled generating set steam turbine operation back pressure continuous optimal control method and system
ActiveCN105571343BRealize real-time online predictionSolve modeling problemsSteam/vapor condensersMachines/enginesThermal energyMethod development
The invention relates to an operation back pressure continuous optimized control method and system for a wet cooling steam turbine. The method includes the steps that a primary model is built; a hydraulic model of a cold source system is built; a pressing head model and a power model are built; a condenser model is built; a time-varying factor model is built; a secondary model is built; a back pressure model is built; a steam turbine heat rate model used for determining the relation between the steam turbine cycling heat rate and generator unit back pressure is built; control is optimized, under the condition of current power generation power, according to the power model, a back pressure module and the heat rate model, cold source power consumption and fuel consumption of different cold source operation modes are calculated, and an optimal solution of cold source optimized control is obtained. The method and system completely break through substantive technical barriers of the background technology, key technologies of vacuum continuous optimized control of a large power plant steam turbine set are completely achieved for the first time, the historical subject is solved, and an ideal application effect is achieved in practice.
Owner:BEIJING HUJIA ALLIANCE SCI & TECH CENT (LLP)
A Fast Estimation Method of Worst Execution Time wcet Based on Distribution Function
InactiveCN104572103BOvercome the disadvantage of needing to run the program to obtain the measurement value sampleEasy to implementSoftware testing/debuggingSpecific program execution arrangementsEstimation methodsObject code
The invention provides a distribution function-based WCET (Worst Case Execution Time) quick estimation method. The method comprises the following steps: disassembling a DSP (Digital Signal Processor) project objective code (out file) to obtain a disassembled file F; analyzing the disassembled file F to acquire each divided basic block to obtain a basic block set B of a program; recognizing relation between every two basic blocks in the basic block set B to construct a program flow graph C; calculating execution time T of each basic block; obtaining weighted program flow graph Cw by weighting the basic block execution time T and the basic block execution frequency Ts; analyzing the weighted program flow graph Cw to obtain a path with the maximum total weight value and taking the maximum total weight value as the WCET. The defect that a program is required to be operated to obtain a test sample in the prior art is overcome, and the problems of more manual intervention and irrationality of a beta distribution parameter estimation method in the conventional PERT (Program Evaluation and Review Technique) are solved.
Owner:XIAN INSTITUE OF SPACE RADIO TECH +1
Method and system for constructing mesoscopic model for performance prediction of composite materials
ActiveCN113128082BGuaranteed to proceed normallyGuaranteed clearanceDesign optimisation/simulationSpecial data processing applicationsClassical mechanicsEngineering
Owner:SHANDONG UNIV
Fabricated bridge parameterization implementation method based on BIM technology
PendingCN113626928ARealize modelingReduce workloadGeometric CADNatural language data processingRebarMechanical engineering
The invention discloses a fabricated bridge parameterization implementation method based on a BIM technology. The method is characterized in that: the method comprises the steps of precast beam parameterization design, framework parameterization design and steel bar parameterization design. According to the prefabricated beam parameterization design, parameterization space beam arrangement is achieved by combining a space beam arrangement line obtained and generated through main line information with prefabricated beam main body parameterization, wherein the prefabricated beam main body parameterization comprises diaphragm plate parameterization, beam body parameterization and wet joint automatic sewing; and the framework parameterized design, the steel bar parameterized design and the precast beam parameterized design jointly form the fabricated bridge BIM parameterized design platform. According to the method, reasonable parameterized assembly type bridge design is adopted, the digital design efficiency of the assembly type bridge can be improved to the maximum extent, and the design cost is saved.
Owner:SICHUAN ROAD & BRIDGE GRP
Who we serve
- R&D Engineer
- R&D Manager
- IP Professional
Why Patsnap Eureka
- Industry Leading Data Capabilities
- Powerful AI technology
- Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.
© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com