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56results about How to "Fewer input parameters" patented technology
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Measurement method and system for determining position of crane hook
InactiveCN101993008AReduce computationSimplified transfer functionUsing optical meansCranesPiston rodRigid body
The invention discloses a measurement method for determining a position of a crane hook, which comprises the following steps of: 1, during the filling, ensuring that a folding cylinder only takes a working condition, locking a piston rod of the folding cylinder firmly after extending to the farthest place, finally enabling a folding arm, the folding cylinder and a telescopic arm to form a rigid body; 2, establishing a sphere coordinate system with a hinge point center of the folding arm and a rotary table as a coordinate origin O, wherein the connecting line of the coordinate origin O and thecenter point C of a fixed pulley of the crane hook is a coordinate radius phi, and regulating the telescopic direction of the telescopic arm to ensure that the telescopic arm is parallel to the coordinate radius phi, wherein the state is an initial zero state of an ejector arm of the crane; and 3, during the work, always ensuring that the telescopic direction of the telescopic arm is parallel to the coordinate radius phi, measuring the length variable value delta L of the telescopic arm, the length variable value delta h of a steel rope, the amplitude angle variable value delta alpha of the folding arm and the rotary angle theta of the rotary table by using a sensor to obtain the position of the crane hook. The invention reduces the parameters required for determining the position.
Owner:713 RES INST OF CHINA SHIPBUILDING IND CORP
Wet type ball grinder load parameter integrated modeling method based on EEMD (ensemble empirical mode decomposition)
InactiveCN103902776ARealize load parameter detectionHigh measurement accuracySpecial data processing applicationsLearning machineFrequency spectrum
The invention discloses a wet type ball grinder load parameter integrated modeling method based on EEMD (ensemble empirical mode decomposition) and relates to a parameter measuring method of ore grinding production. The method includes: on the basis of ensemble empirical mode self-adaption decomposition nonlinear unstable cylinder vibration and vibration sound signal intrinsic mode functions (IMFs) and frequency spectrum of IMFs, using a interval partial least squares (iPLS) method to extract IMFs local frequency spectrum reflecting ball grinder load parameter change, fusing with current signals, and building an ore grinding concentration, filling rate and material-media ratio grinder load parameter integrated model on the basis of an extreme learning machine (ELM). By the method, the problem that the load parameters of a wet type ball grinder is hard to detect is solved, the defect of steady state hypothesis during ball grinder signal analyzing is overcome, and generalization and stability of the integrated model are increased.
Owner:SHENYANG INSTITUTE OF CHEMICAL TECHNOLOGY
A fault diagnosis method of a thermal management system of a hybrid electric vehicle
InactiveCN109447236AReduce redundancySolve the problem of easy to fall into local extremumInternal combustion piston enginesBiological neural network modelsPrincipal component analysisThermal management system
The invention claims a fault diagnosis method of a thermal management system of a hybrid electric vehicle, including such steps of selecting the water outlet temperature, pressure and flow rate of each component of thermal management system as input variables, arranging temperature, pressure and flow rate sensors in each loop of thermal management system, and collecting sample data under normal condition and fault condition respectively; using a principal component analysis (PCA) to extract the features of the sample data, and dividing the sample data into training set and test set; designingthe fault diagnosis model of RBF neural network, and optimizing the basis function center, variance and connection weights of RBF neural network by particle swarm optimization algorithm; applying thetrained RBF neural network to the fault diagnosis of HEV thermal management system, and obtaining the fault states of each actuator directly. The method of the invention utilizes the real-time parameters of each component to diagnose the state and the fault of the thermal management system, and can detect the fault of the thermal management system in time and directly determine the fault position.
Owner:CHONGQING UNIV OF POSTS & TELECOMM
Travel information processing method and relative device
ActiveCN103916473AGood choiceConvenient ArrangementTransmissionSpecial data processing applicationsInformation processingSimulation
The invention discloses a travel information processing method and a relative device. The method includes the steps of obtaining travel information of a travel in a preset travel schedule, wherein the travel information includes target position information; obtaining information of a starting position where a user is located currently, wherein the information of the starting position includes the geographical coordinate of the starting position; obtaining reference information of the travel according to the information of the starting position and the travel information, wherein the reference information includes circuit diagrams of one or more routes between the starting position corresponding to the information of the starting position and a target position corresponding to the target position information, the route distance of each route, the traffic jam probability of each route and / or elapsed time of each route. According to the method, input parameters of the user can be reduced, operations are easy and convenient to carry out, and the user can use the method and the device greatly conveniently.
Owner:XIAOMI INC
Soil moisture hybrid remote sensing retrieval method and system
ActiveCN107389895AFewer input parametersEasy to operateEarth material testingHybrid typeVegetation Index
The embodiment of the invention provides a soil moisture hybrid remote sensing retrieval method and system. The soil moisture hybrid remote sensing retrieval method comprises the following steps: acquiring first remote sensing image data and first meteorological data of a required earth surface type area of an estimation area, wherein the first remote sensing image data comprise a first visible light band reflectivity, a first near-infrared band reflectivity and a first short-wave infrared band reflectivity, and the first meteorological data comprise a first relative humidity and a first air humidity; calculating a first ratio vegetation index and a first land surface water index of the estimation area; and calculating a first soil moisture of the estimation area according to the first ratio vegetation index, the first land surface water index, the first meteorological data and a soil moisture hybrid remote sensing retrieval model. The soil moisture hybrid remote sensing retrieval method and system provided by the embodiment of the invention require less input parameters, are simple and flexible, are easy to operate, and has a wide application face and a broad application prospect.
Owner:SATELLITE ENVIRONMENT CENT MINIST OF ENVIRONMENTAL PROTECTION
On-line life calculation method for battery system
InactiveCN102221678AThe calculation process is simpleFewer input parametersElectrical testingCharge and dischargeSoftware
The invention provides an on-line life calculation method for a battery system. The on-line life calculation method for the battery system provided by the invention comprises the following three steps: inputting the total energy of charging and discharging of the battery system during the entire life process; calculating the total energy of the finished charging and discharging of the batter system at the moment; and utilizing the two energies to obtain an on-line life of the battery system. Compared with the existing calculation method, the on-line life calculation method for the battery system provided by the invention has the following two advantages: few input parameters are needed for calculating the on-line life and the parameters can be collected by a simple device, namely, the battery system can be carried out the on-line life calculation simply by calculating the total energy of charging and discharging of the battery system; and meanwhile, the calculation process is relatively simple and can be realized without the complicated software and hardware devices.
Owner:CHONGQING CHANGAN AUTOMOBILE CO LTD +2
Method for optimizing type-selecting of wind power generator set comprehensively
InactiveCN102192102AFewer input parametersSimple and fast operationMachines/enginesWind motor combinationsCost indexEngineering
The invention discloses a method for optimizing the type-selecting of a wind power generator set comprehensively in the technical field of wind power generation. The method disclosed by the invention is provided with two stages of preliminary type selecting and type selecting in detail; at the stage of preliminary type selecting, calculating a resource match index and a machine type cost index ofeach machine type to be selected respectively, and determining the selected machine type according to a comprehensive match index; and at the type selecting stage in detail, calculating the network access electric quantity per year of each selected machine type and the total service life cycle cost respectively, and determining a recommended proposal according to the comprehensive value index. The method provided by the invention has the advantages of less input parameters, is simple and convenient to operate, and the like, and is suitable for the type selection work of the wind power generator set in a wind power station engineering design.
Owner:NORTH CHINA ELECTRIC POWER UNIV (BAODING)
Multi-state multi-stage task system reliability parameter analyzing method
InactiveCN106844877AFewer input parametersEasy programmingDesign optimisation/simulationSpecial data processing applicationsDependabilityAnalysis method
The invention discloses a multi-state multi-task system reliability parameter analyzing method. The method comprises the steps that AS trees are utilized to describe logic structure relation of each stage of a multi-stage task system, and a multi-state multi-stage task system simulation algorithm is given based on a discrete event simulation thought. The simulation algorithm can calculate multiple parameters such as multi-state PMS system reliability, required input parameters are few, programming realization is simple, the simulation algorithm can well describe complicated behaviors of the multi-stage task system, multiple reliability parameters for knowing a system reliability parameter can be obtained, and the simulation algorithm has very strong universality and practicability.
Owner:PEOPLES LIBERATION ARMY ORDNANCE ENG COLLEGE
Intelligent multisource assessment method and device for limit mileages of intelligent unmanned vehicles
ActiveCN108510130AForecasts are real-time and accurateFewer input parametersForecastingArtificial lifeOperating speedEnergy consumption
The invention discloses an intelligent multisource assessment method and device for limit mileages of intelligent unmanned vehicles. According to the method, a slope energy consumption value, a temperature energy consumption value, a wind resistance energy consumption value and length index at road sections with different speeds are put forward by combining road environments, influence factors, for unmanned vehicle power consumption, of complicated road environments are quantified, and an unmanned vehicle power consumption prediction model is established; the power prediction of the method isunrelated to batteries, vehicle models and vehicle part performance, and training is carried out by the model in real time, so that the prediction result is not influenced by the using time and life of the batteries and the vehicles; and when the vehicle running speed is high, the wind resistance is the main part of the vehicle energy consumption. According to the method, different power consumption prediction models are selected according to the sizes of wind speeds, and different power consumption prediction models are used for high and low wind speeds, so that input parameters of the modelsare decreased, the calculation time is shortened, the prediction precision of the models can be improved, and the timeliness is stronger.
Owner:CENT SOUTH UNIV
Hybrid square root cubature Kalman filtering method used for target tracking
InactiveCN107015944AImprove filtering efficiencyStrong real-time performanceNavigational calculation instrumentsComplex mathematical operationsState covariancePattern recognition
The invention discloses a hybrid square root cubature Kalman filtering method used for target tracking. The method includes the steps that according to an initialized state vector, an initialized process noise covariance square root factor, an initialized measuring noise covariance square root factor and an initialized state covariance square root factor, a state vector cubature sampling point is calculated; a measuring vector cubature sampling point and a measuring vector cubature sampling point are calculated to obtain measured vectors; a Kalman gain and a posterior state covariance square root factor are calculated; a posterior state vector is calculated. On the premise that filtering precision is unchanged, the filtering efficiency is greatly improved, and the instantaneity is very high.
Owner:NANJING UNIV OF SCI & TECH
Method for designing manifold based regularization based semi-supervised classifier for dynamic vision
ActiveCN102129570ASimple compositionFewer input parametersCharacter and pattern recognitionData aggregatorOptimization problem
The invention discloses a method for designing a manifold regularization based semi-supervised classifier for dynamic vision. A training data source of the classifier under the environment of the dynamic vision is as follows: data with class information acquired by a user, positive class sample including objects, negative class sample not including objects, and data without class information randomly acquired by a computer in a video; continuity regular terms of the classifier on a sample data aggregation is defined by utilizing a local linear reconstruction coefficient of the data so as to make the utilization rate of the classifier on the data without the class information be improved. In addition, the definitions of a function complexity and function continuity regular terms are configured to be a form of 1 norm in an optimization problem of solving the coefficients of the classifier, thus the solution of the optimization problem of the classifier is a sparse solution of the coefficients of the classifier, namely the classifier obtained by training is also sparse. Therefore, the real time property of the classifier in a dynamic vision task is improved.
Owner:INST OF AUTOMATION CHINESE ACAD OF SCI
Boiler combustion efficiency predicting method based on support vector machine incremental algorithm
InactiveCN102982390AGuaranteed accuracyFast precisionForecastingCharacter and pattern recognitionSupport vector machineData set
The invention discloses a boiler combustion efficiency predicting method based on a support vector machine incremental algorithm. The boiler combustion efficiency predicting method based on the support vector machine incremental algorithm is characterized by including the following steps: (1) a kernel function is selected; (2) an initial data set is formed; (3) the initial data is pre-treated; (4) a training sample is taken out and tested; (5) a sensitivity coefficient Epsilon is 0.0001, a training precision is 0.00001 and the default values of a penalty coefficient C and a width coefficient sigmate Sigma are respectively 10 and 0.0001; (6) generalization is determined; (7) the optimum coefficient pair is selected; (8) an initial classifier Omega 0, a support vector set and a non-support vector set are obtained through training; (9) sample points which are not in line with a generalized karush-kuhn-tucker (KKT) condition, namely yif (xi)>1 are found out in a newly added sample set X1; (10) a new set is formed; (11) in terms of X, a classifier Omega and a support vector SV are determined; (12) a support vector machine predicting model on boiler combustion efficiency is established. Less input coefficients are input so as to facilitate measuring, a complicated calculation process is removed, training time of working conditions of boiler combustion is shortened, a requirement for online calculation of a distributed control system (DCS) is met and prediction precision is high.
Owner:ELECTRIC POWER RES INST OF GUANGDONG POWER GRID +1
Method for determining optimal offset angle of non-sun-oriented solar cell array
ActiveCN110555250AFewer input parametersSmall step sizeSpecial data processing applicationsSolar cellOrbit
The invention discloses a method for determining the optimal offset angle of a non-sun-oriented solar cell array, and the method mainly comprises the steps: obtaining a calculation input condition, such as an orbit height H and an orbit incident angle range; calculating a current offset angle and a ground shadow field angle under a current orbit incident angle; calculating the output energy of thesolar cell array under the current bias angle and the current orbit incident angle by taking the earth shadow field angle as input; and traversing all bias angles and all orbit incident angles, and evaluating the output energy of the solar cell array to obtain an optimal bias angle. The method is used for selecting the optimal bias installation angle of the satellite solar cell array to obtain the comprehensively optimal solar cell array output energy, traversing all bias angles and the solar cell array output energy under all orbit incident angles, and evaluating the calculation result of the solar cell array output energy to realize the selection of the optimal bias angle.
Owner:AEROSPACE DONGFANGHONG SATELLITE
Constant displacement quality control method of steel rail flame welding heating and post-weld normalizing
ActiveCN101813939AAccurate detectionEasy to controlTotal factory controlProgramme total factory controlSolenoid valveQuality control
A constant displacement quality control method of steel rail flame welding heating and post-weld normalizing comprises the following steps: locking an upsetting oil cylinder by controlling a magnet valve and a pilot operated check valve on the stock cylinder oil circuit of the upsetting oil cylinder so that the longitudinal displacement of the steel rail keeps constant; simultaneously, detecting the retaining pressure of the upsetting oil cylinder in real time through a pressure sensor, and then calculating and obtaining the temperature of the steel rail according to the curve of the relationship between the preset welding temperature of steel rail and the longitudinal deformation resistance of steel rail; when the temperature of steel rail reaches the preset welding temperature, controlling a heating device to stop heating, carrying out upsetting pressure retaining shearing, air-cooled cooling and post-weld normalizing. The method is capable of automatically controlling the temperature of gas-pressure welding and pressure retaining and normalizing of steel rail in closed loop, thereby having few control input parameters, simple and convenient operation, accurate control for temperature, strong anti-interference, small error, high precision, good technical uniformity and repeatability, more stable and reliable welding quality, and high one-time welding success ratio.
Owner:SOUTHWEST JIAOTONG UNIV +2
Method for calculating unfrozen water content of frozen soil based on ion concentration gradient of clay diffusion layer
ActiveCN113419044AHigh expressionA simple fitted curve can accurately expressEarth material testingSoil scienceGelisol
The invention relates to a method for calculating the unfrozen water content of frozen soil based on the ion concentration gradient of a clay diffusion layer. The method comprises the steps of (1) collecting a soil sample, measuring the particle size distribution of the soil and the humidity at normal temperature, determining the mass percentages of clay, silt and sand in the soil, and taking the measured soil humidity as the initial water content w0; (2) substituting the mass percentages of clay, silt and sand in the soil into a specific surface area estimation model to obtain the specific surface area AS of the soil, wherein the specific surface area estimation model refers to AS = 0.042 + 4.23 Clay% + 1.12 Silt%-1.16 Sand%, and in the formula, Clay%, Silt% and Sand% are the mass percentages of the clay, the silt and the sand respectively; and (3) establishing an unfrozen water content model shown in the description, and calculating the unfrozen water content wu. The method is simple in model expression and accurate in calculation.
Owner:NORTHWEST INST OF ECO-ENVIRONMENT & RESOURCES CAS
A method and apparatus for obtaining a sub-SEE cross section of a device
ActiveCN109214049AEasy accessShorten the design cycleNuclear energy generationContactless testingAviationDesign cycle
The embodiment of the invention provides a method and a device for obtaining a sub-single event effect cross section of a device. The method comprises the following steps: determining a category of adevice to be tested; obtaining the NSEE cross section of the device to be tested according to the neutron single event effect NSEE cross section formula corresponding to the category; wherein, the NSEE cross-sectional formula is obtained by fitting the NSEE cross-sectional history data of the sample device. A method and apparatus provide by an embodiment of the present invention, the NSEE cross-section formula of each type of sample device is fitted by classifying and analyzing the historical data of the sample device without relying on the test data. The NSEE cross-section formula of each type of sample device is obtained by using the corresponding NSEE cross-section formula according to the type of the device to be tested. The utility model has the characteristics of fewer input parameters and easy realization, and is convenient for engineering application. The NSEE cross section of the device can be obtained quickly, the design cycle of avionics products can be effectively reduced,and the reliability of the device under atmospheric neutron radiation environment can be improved.
Owner:BEIJING SHENGTAOPING TEST ENG TECH RES INST
Temperature-dominated variable source runoff production mode simulation method for permafrost region
ActiveCN112257286AFewer input parametersCalculation speedDesign optimisation/simulationSpecial data processing applicationsHydrometryGelisol
The invention provides a temperature-dominated variable source runoff production mode simulation method for a permafrost region. The method comprises the following steps: extracting a hydrological response unit (HRU) of a research region; determining a research time period in which variable source runoff production mode simulation needs to be performed; obtaining basic geographic information of the research region and basic meteorological data of the research region in a research time period; and simulating the runoff production process of the research region in the research time period. The invention has the advantages that input parameters of the temperature variable source runoff production model are few, only air temperature and rainfall data are included, surface temperature and soilmoisture data are obtained through calculation of modules in the model, and the invention is suitable for frozen soil regions, especially frozen soil regions lacking data; 2) the model is simple and convenient, complex numerical calculation is not involved, and the calculation speed is high; 3) a temperature variable source runoff production mechanism is provided for the model, and the simulationprecision of the slope runoff production and basin runoff formation process under freeze-thaw cycle control is improved; and 4) the model time step length setting is flexible and changeable, and the use is flexible and convenient.
Owner:INST OF MOUNTAIN HAZARDS & ENVIRONMENT CHINESE ACADEMY OF SCI
Rapid mist spray water drop average diameter estimation method based on nozzle power parameters
InactiveCN105728229AFewer input parametersSimple calculationLiquid spraying apparatusGround freezingEstimation methods
The invention discloses a rapid mist spray water drop average diameter estimation method based on nozzle power parameters, and belongs to the field of ground freezing experiments. The method comprises the steps that firstly, the water pressure value Pw and the air pressure value Pa at the position of a nozzle and the maximum air pressure value Pmax determined according to an experiment are obtained, wherein mist spray can be formed at the position of the nozzle at the maximum air pressure value Pmax; and then, the average diameter MVD of mist spray water drops is estimated according to the formula shown in the specification, wherein K, m and n are constants, and the value of K, the value of m and the value of n are obtained in the manner that the formula (1) is subjected to linear treatment and then subjected to least square fit with the MVD obtained through experiment measurement. Compared with the prior art, according to the rapid mist spray water drop average diameter estimation method based on the nozzle power parameters, the mist spray water drop average diameter with the smaller error is obtained through fewer input parameters, the debugging period is shortened, and meanwhile the rapid mist spray water drop average diameter estimation method is more economical and saves more energy.
Owner:CHINA AIRPLANT STRENGTH RES INST
Maximum correlation kurtosis deconvolution method without period
The invention discloses a maximum correlation kurtosis deconvolution method without a period. The method comprises steps of firstly, carrying out truncation and mean removal processing of an acquiredvibration signal; performing Hilbert transform of the vibration signal to obtain an analytic signal of the vibration signal; selecting a maximum value point of the part behind a first zero crossing point in the autocorrelation spectrum as an iteration period to carry out deconvolution operation; then, continuously calculating the maximum value point of the part behind the first zero crossing pointin the autocorrelation spectrum of the signal after each iterative filtering as an iterative period to update a filter so as to obtain an optimal filter coefficient; and lastly, performing envelope analysis of the filtered signal, and extracting the fault characteristic frequency from the envelope spectrum. The method is advantaged in that human participation is not needed in the extraction process of the characteristic frequency, automation of fault characteristic extraction and diagnosis monitoring can be achieved, the time is saved, and efficiency is higher.
Owner:XI AN JIAOTONG UNIV
Method for automatic exposure and automatic gain regulation and method thereof
ActiveCN101399919BRegulation stabilityEasy to adjustTelevision system detailsColor television detailsImaging processingBrightness perception
The invention discloses a adjusting method for automatic exposure and automatic gain, which includes the following steps: (1) dividing an input image into N*N sub-areas and calculating the average imaging brightness of each area; (2) obtaining the actual brightness of each area; (3) calculating the optimal exposure time of the area; (4) obtaining the optimal exposure time; (5) pre-detecting the imaging brightness value of each area under the exposure time; (6) calculating the optimal gain value; (7) setting the imaging time and gain of an imaging sensor, shooting the image of next frame and repeating the steps until target exposure brightness is achieved. An adjusting device for applying the method for automatic exposure and automatic gain includes an imaging sensor, an image processing module, an automatic exposure calculating module, an automatic gain calculating module and an imaging control module. The invention can rapidly adjust the exposure time and the gain value.
Owner:SPREADTRUM COMM (SHANGHAI) CO LTD
Unfrozen water model based on adsorption and capillary coupling effect
ActiveCN114384232AStrong theoretical foundationHigh expressionEarth material testingSoil scienceMoisture capacity
The invention relates to an unfrozen water model based on adsorption and capillary coupling effect, which is prepared by the following steps: (1) collecting a soil sample, measuring the specific surface area AS of the soil and the humidity at room temperature, and taking the humidity of the soil at room temperature as the initial water content w0; (2) establishing an unfrozen water content model, and calculating the unfrozen water content wu; the method has the advantages of simple expression, few input parameters, convenience in calculation and deeper theoretical basis.
Owner:NORTHWEST INST OF ECO ENVIRONMENT & RESOURCES CAS
Effect evaluation method and device for information push, electronic equipment and storage medium
PendingCN114546804ASimple compositionFewer input parametersHardware monitoringNeural learning methodsEvaluation resultFeature vector
The invention provides an information pushing effect evaluation method and device, electronic equipment and a storage medium. The method comprises the steps of determining a feature vector of to-be-pushed information; inputting the feature vector into an effect evaluation model to obtain an effect evaluation result output by the effect evaluation model, the effect evaluation model being obtained based on a sample feature vector of to-be-pushed sample information, a sample fact output vector and effect label training; the effect evaluation model is constructed on the basis of the generative adversarial network, the composition of the model is simplified on the basis of a traditional scheme, so that the lightweight effect evaluation model is obtained, meanwhile, input parameters of the model can be greatly reduced, various problems caused by the fact that two adversarial generators are needed in the traditional scheme are completely solved, and the method is suitable for large-scale popularization and application. According to the method, lightweight calculation is realized, namely, the effect evaluation process is faster, real-time decision can be supported, and the method has relatively high implementability.
Owner:SHANGHAI BIREN TECH CO LTD
Method and device for detecting feeding state of fishes
InactiveCN112381044AThe judgment result is accurateSmall sample sizeData processing applicationsCharacter and pattern recognitionAquacultureTextural feature
The invention relates to the technical field of aquaculture, in particular to a method for detecting the feeding state of fishes. The detection method comprises the following steps: acquiring texturalfeatures and shape features of fish schools during ingestion; and substituting the textural features and the shape features of the fish shoal during ingestion into a preset depth forest model to obtain the ingestion state of the fish shoal to be detected. According to the method, the texture features and the shape features of the fish schools during ingestion and the corresponding ingestion states are combined to construct the deep forest model, so that the ingestion states of the fish schools can be judged directly through the texture features and the shape features of the ingestion picturesof the fish schools, the accuracy is high and can reach about 95%, and theoretical support and solution are provided for accurate feeding of fishes.
Owner:CHINA AGRI UNIV
Waveform recognition method and device for movement of servo welding system
ActiveCN110780198AAchieve consistencyFewer input parametersCharacter and pattern recognitionDynamo-electric machine testingControl engineeringControl theory
The invention aims to provide a waveform recognition method and device for a servo welding system. The waveform recognition method comprises the steps that: a reference program is determined accordingto motion control of a servo welding system and program starting information; the waveform recognition model of the servo welding system is established according to a reference program; the current waveform information of motion control of the servo welding system is recognized when the reference program runs by utilizing the waveform recognition model; and it is determined whether the servo welding system is driven abnormally or not according to the current waveform information. Therefore, consistency with industrial logic is achieved, the abnormal state of the servo welding system is accurately recognized and reflected through deviation of the position, the number of needed input parameters is small, and communication resources can be saved.
Owner:上海大制科技有限公司
Digital display instrument reading identification method based on inspection robot
PendingCN112348018AReduce the problem of long recognition timeReduction procedureCharacter recognitionTemplate matchingComputer graphics (images)
The digital display instrument reading identification method based on the inspection robot comprises the following steps: firstly, acquiring a digital display instrument picture through a visible light camera carried by an inspection robot holder and an image video management process; then intercepting an external rectangle of the instrument dial plate as a template image; thirdly, intercepting adigital display area and obtaining position information, segmenting numbers in the digital display area, and recording decimal point digits; 4, obtaining a to-be-detected picture and completing initialization; fifthly, template matching and correction are conducted on the instrument position of the picture to be detected; sixthly, intercepting a digital display area picture to perform gray processing, judging the difference between the foreground font and the background, performing adaptive binarization on the digital display area, performing single digital segmentation on the digital displayarea, and refining the outline of the digital display area; and converting a single number into a pixel for storage, generating a data format required by a classifier, and predicting and outputting aresult. According to the invention, the recognition speed and universality of the intelligent inspection robot for the reading of the digital display instrument in an application scene are improved.
Owner:杭州安森智能信息技术有限公司
Ozonosphere forecasting algorithm based on artificial intelligence
ActiveCN113901714AAvoid mathematical modelingImprove generalizationDesign optimisation/simulationNeural architecturesChaotic systemsEngineering
The invention discloses an ozonosphere forecasting algorithm based on artificial intelligence. The ozonosphere forecasting algorithm comprises the following steps: S1, establishing an ozone concentration monitoring station; S2, collecting and acquiring historical meteorological data; S3, selecting influence factors; S4, carrying out preliminary prediction on the O3-8 h value of one day; S5, establishing a new hyperchaotic system; S6, establishing an artificial neural network; S7, establishing a chaotic artificial neural network; and S8, performing long-term and short-term forecasting by using the chaos artificial neural network. The research process of a traditional numerical weather forecasting method can be simplified, the traditional numerical weather forecasting method is often complex and high in calculation requirement, and the CANN operation adopted by the method is similar to other neural networks in that the CANN operation does not depend on the complex relation between parameters and output, but depends on continuous changes of weights, therefore, parameters are closely associated with output, and tedious mathematical modeling is avoided.
Owner:NAT UNIV OF DEFENSE TECH
Route information processing method and related device
ActiveCN103916473BGood choiceConvenient ArrangementDigital data information retrievalTransmissionInformation processingSimulation
Owner:XIAOMI INC
A soil and vegetation mixed spectrum measurement method and simulation system
ActiveCN103499529BClear featuresFewer input parametersColor/spectral properties measurementsVegetationSoil science
Owner:PEKING UNIV
Constant displacement quality control method of steel rail flame welding heating and post-weld normalizing
ActiveCN101813939BAccurate detectionEasy to controlTotal factory controlProgramme total factory controlSolenoid valveClosed loop
A constant displacement quality control method of steel rail flame welding heating and post-weld normalizing comprises the following steps: locking an upsetting oil cylinder by controlling a magnet valve and a pilot operated check valve on the stock cylinder oil circuit of the upsetting oil cylinder so that the longitudinal displacement of the steel rail keeps constant; simultaneously, detecting the retaining pressure of the upsetting oil cylinder in real time through a pressure sensor, and then calculating and obtaining the temperature of the steel rail according to the curve of the relationship between the preset welding temperature of steel rail and the longitudinal deformation resistance of steel rail; when the temperature of steel rail reaches the preset welding temperature, controlling a heating device to stop heating, carrying out upsetting pressure retaining shearing, air-cooled cooling and post-weld normalizing. The method is capable of automatically controlling the temperature of gas-pressure welding and pressure retaining and normalizing of steel rail in closed loop, thereby having few control input parameters, simple and convenient operation, accurate control for temperature, strong anti-interference, small error, high precision, good technical uniformity and repeatability, more stable and reliable welding quality, and high one-time welding success ratio.
Owner:SOUTHWEST JIAOTONG UNIV +2
Method for measuring and calculating comprehensive cost of household broadband service
PendingCN114429358AHigh precisionMeasuring particle size fineMarket predictionsOffice automationTotal investmentBenefit analysis
The invention discloses a method for measuring and calculating the comprehensive cost of a household broadband service. In order to solve the problem that an effective method for network cost calculation and benefit evaluation is lacked in the prior art, the method comprises the following steps: S1, inputting a key information matrix; s2, using a built-in integrated calculation module to calculate an investment, income and cost correlation matrix; s3, calculating total investment, total income and total cost; s4, the investment benefit and the investment benefit rate in the whole life cycle are calculated; and S5, single-user benefit analysis. According to the scheme, upper-layer network investment, indirect investment, indirect income and related cost are calculated, a network benefit model calculation system is complete, the calculation accuracy is high, the calculation granularity is finer, and accurate construction is facilitated.
Owner:HUAXIN CONSULTATING CO LTD
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