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46 results about "Multiple regression equation" patented technology
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The basic equation of Multiple Regression is – Y = a + b 1 X 1 + b 2 X 2 + b 3 X 3 + … + b N X N The value of b 1 is the slope of regression line of Y against X 1. Same is the case with b 2, b 3 and so on. These values are then used to minimize the difference between actual and expected value of Y.
Method of evaluating logs to predict properties of lumber or veneer produced from the logs
InactiveUS6996497B2Easy to digitizeEasy to operateDigital data processing detailsTesting plants/treesStem lengthEngineering
A method is disclosed for evaluating logs to predict structural properties and / or warp tendency of lumber or veneer that might be produced from a given log. The method can be used in a forest stand, sorting yard or merchandiser, on-line in a sawmill, or at other locations along the route from forest to mill. It enables decisions whether a log should be directed to a sawmill for lumber manufacture or for other applications such as timbers, veneer, or pulp chips. Log taper has been found to correlate with both stiffness and warp propensity of lumber cut from a given log. A high amount of taper leads to warped lumber and low stiffness lumber or veneer. The correlation with taper is highest if it is measured over the full stem length of the harvested log, before it is bucked to sawmill size or veneer blocks. Other geometric features of the log, such as sweep or cross section irregularity, can be combined with taper in a multivariate regression equation to increase accuracy of prediction. This can readily be accomplished in a conventional scanner used in a sort yard or sawmill.
Owner:WEYERHAEUSER NR CO
Method for reconstructing logging curve
ActiveCN104533400AImprove applicabilityHigh precisionSurveyDesign optimisation/simulationLinearityComputer science
The invention discloses a method for reconstructing a logging curve, and relates to the technical field of exploration and development of petroleum and natural gas. The method comprises the steps of collecting general logging materials of a well adjacent to a target well; selecting a standard layer of a target curve; building a multi-regression model including linearity, index, logarithm and power function; acquiring a corresponding multi-regression equation; calculating the correlation between the target curve of the standard layer and other curves; selecting a base curve for reconstructing the target curve; selecting the optimal multi-regression model based on the selected base curve and according to the maximum correlation principle; deducing the corresponding multi-regression equation; substituting the regression constants, coefficients and the base curve value into the multi-regression equation at the well section suffering from deletion or distortion of the target curve, so as to finish the reconstruction of the target curve. According to the method, the logging curve can be quickly and accurately reconstructed; the operation is simple and convenient; the popularization is easily carried out; the field construction applies, and geological personnel can quick evaluate the stratum information.
Owner:CNOOC ENERGY TECH & SERVICES
Determination method of total heat transfer coefficient of condenser of thermal generator set
The invention discloses a determination method of a total heat transfer coefficient of a condenser of a thermal generator set. The method is as follows: generator set load, circulating water flow, circulating water inlet temperature, the practical total heat transfer coefficient of the condenser, the total theoretical heat transfer coefficient of the condenser are input into a preset multiple regression equation under multiple test working conditions; and the coefficient of the equation is determined and the condenser heat transfer integrated revision factor of the condenser is obtained, so that the deviation influences among the structural characteristics, the operating condition and the theoretical value of the condenser are revised. In the determination method provided by the invention, the modifying factor is used so as to modify the total theoretical heat transfer coefficient which is calculated by a traditional empirical equation, of the condenser, and the total heat transfer coefficient with small error, of the condenser can be obtained, thereby improving the accuracy of energy-saving diagnosis and optimization management of the cold end system of the generator set.
Owner:ELECTRIC POWER RES INST OF STATE GRID ZHEJIANG ELECTRIC POWER COMAPNY +1
Multivariate linear regression modeling method for transformer substation energy consumption reference correction
ActiveCN109753684AComplex mathematical operationsInformation technology support systemEstimation methodsAlgorithm
The invention relates to a multivariate linear regression modeling method for transformer substation energy consumption reference correction. The method specifically comprises the following specific steps: step (1) establishing a multivariate linear regression equation: y = [beta]0 + [beta]1x1 + [beta]2x2 + and the like + [beta]pxp +[epsilon]; step (2), estimating a constant term and a regressioncoefficient in the multivariate regression equation, specifically comprising solving an unknown parameter [beta]0, [beta]1,and the like, [beta]p by utilizing a least square estimation method; whereinthe estimated value of the regression equation is as shown in the specification, and the estimated value of the regression equation is as shown in the specification, so that the sum of squares of thedeviation of the regression equation is the minimum; step (3) verifying the significance of the multivariate regression equation, specifically comprising F detection, complex judgment coefficient detection and regression coefficient t detection; and step (4) selecting an independent variable by adopting a step-by-step regression method.
Owner:JIANGSU ELECTRIC POWER CO +2
Preparation method capable of optimizing fermented vegetable juice through response surface methodology
The invention relates to a preparation method capable of optimizing fermented vegetable juice through response surface methodology. The method comprises the following steps: 1, preparing vegetables, namely washing celery and lotus cabbages, cutting the vegetables into segments, and putting the vegetables into a tank according to an equal mass ratio; 2, preparing noodle soup, namely respectively preparing flour and water into the noodle soup according to different horizontal gradients; 3, respectively adding the noodle soup and mixed bacteria into the tank filled with the vegetables for fermenting according to different horizontal gradients, thus obtaining the fermented vegetable juice which corresponds to different inoculation amounts and different ratios of flour to water and vegetables to noodle soup; 4, performing experimental design and statistical analysis, namely (1) performing a single factor experiment, and (2) performing response surface methodology design, namely establishing a quadric multiple regression equation based on three factors including the inoculation amounts, the ratio of flour to water and the ratio of vegetables to noodle soup according to the result of the single factor experiment; and 5, analyzing the experimental result and optimizing, namely performing drawing analysis by Design Expert 8.0 software, thus obtaining a response surface of the regression equation, a contour map of the response surface and the like. The method is simple in operation and suitable for industrial production.
Owner:LANZHOU UNIVERSITY
Call amount estimating method
ActiveUS20090290700A1Improve forecast accuracySpecial service for subscribersForecastingTime segmentObjective variables
A management server 10 stores past record data regarding the call volume by collecting from an exchanger, classifies the past record data in accordance with segments: a 7-day period in a month starting from the beginning of a month; a day of the week; and a predetermined period of time in a day, for a predetermined term in the past, obtains a multiple regression equation having the call volume as an objective variable, based upon the past record data thus classified, by performing a multivariate analysis for each day of the week, and calculates the call volume in a term that is specified by a user based upon the multiple regression equation.
Owner:P & W SOLUTIONS
Meteorological frontal surface automatic identification method based on multiple regression
ActiveCN111414991AShorten the timeReduce manpowerWeather condition predictionNeural architecturesTemperate climateData set
The invention provides a meteorological frontal surface automatic identification method based on multiple regression. The method comprises: determining a constant temperature zone; removing the constant temperature zone; after a constant temperature zone is removed from the meteorological element data set, calculating each diagnosis quantity, and generating a training sample set; by utilizing a multiple regression neural network (MRNN) model and the training sample set, training a multiple regression equation coefficient (the weight of each diagnosis quantity during frontal surface recognition); and substituting the meteorological element data set and the multiple regression model coefficient obtained by training into a multiple regression model, and automatically identifying the atmospheric frontal surface probability of each grid point on line.
Owner:NAT UNIV OF DEFENSE TECH
Grain consumption dynamic prediction method
InactiveCN105654191AImprove accuracyAvoid problems with inaccurate predictionsForecastingDynamic methodRegression analysis
The invention provides a grain consumption dynamic prediction method comprising the following steps in turn: (1) grain consumption and the values of influence factors of multiple years before the nth year are acquired, degree of association is calculated and the process enters step (2); (2) the values of the influence factors of the (n+1)th year are calculated, and the process enters step (3); (3) the grain consumption of the (n+1)th year is calculated; the grain consumption of the (n+m)th year requires to be predicted and the process enters step (4); and the grain consumption of the (n+m)th year does not require to be predicted and the process ends, wherein n is the year of which the grain consumption and the values of the influence factors can be inquired, and n+m is the year of which the grain consumption and the values of the influence factors cannot be inquired; and (4) the process returns to the step (1), and n is enabled to be equal to n+1 until the grain consumption of the (n+m)th year is obtained. The grain consumption of our country is predicted by utilizing the dynamic method through combination of multivariate regression analysis, and the regression parameters of a multivariate regression equation continuously change so that accuracy of prediction can be enhanced and the method can be applied to long-term prediction.
Owner:HENAN UNIVERSITY OF TECHNOLOGY
Battery remaining life prediction method and device, electronic device and storage medium
InactiveCN109190087AHigh precisionProcessing speedComplex mathematical operationsData setElectrical battery
The invention discloses a battery remaining life prediction method, which comprises the following steps: collecting the actual capacity information of the lithium battery by an interval time of a preset period, wherein the actual capacity information constitutes a historical data set; constructing a prediction model according to the historical data set through a multiple regression equation to obtain a prediction data set in a state of a desired variable of the historical data set assuming that the life of the lithium battery is not terminated, wherein an interval time between two adjacent prediction data in the prediction data set is the preset period; constructing a logistic regression model through that prediction data set to predict the life of the lithium battery. The invention also discloses a lithium battery life prediction device, an electronic device and a computer-readable storage medium. The invention combines multiple linear regression and logical regression to predict thelife of the lithium battery, and improves the processing speed and the user experience.
Owner:DONGGUAN UNIV OF TECH +1
Pressure sensor calibration system
InactiveCN107543651AImprove accuracyEliminate the effects of non-linearityFluid pressure measurementForce/torque/work measurement apparatus calibration/testingMeasurement pointTwo temperature
The invention provides a pressure sensor calibration system, which adopts a multiple regression equation to fit output characteristics of a pressure sensor. The pressure sensor calibration system comprises that two groups of calibration data at an environmental temperature T1 and an environmental temperature T2 are acquired; a pressure coefficient to be solved is calculated according to a multipleregression equation model and the acquired two groups of calibration data; and two pressure points are set to check whether the pressure sensor passes the test or not. The output characteristics of the pressure sensor are fit by adopting the multiple regression equation, thereby being capable of eliminating the influences brought about by the nonlinearity, and improving the accuracy of the pressure sensor. The number of acquired calibration data measurement points is small, and only six groups of data at two temperatures are required to obtain calibration equation parameters. In addition, thepressure sensor calibration system is not affected by the power supply voltage, that is, a pressure sensor under test can also be accurately calibrated when the power supply voltage changes.
Owner:SHANGHAI RES INST OF MICROELECTRONICS SHRIME PEKING UNIV
Method for comprehensively predicting generation capacity of multi-radial flow type small hydropower station group area
InactiveCN103854073AAccurately describe complex relationshipsImprove forecast accuracyForecastingAlgorithmLeast squares
The invention relates to a method for comprehensively predicting the generation capacity of a multi-radial flow type small hydropower station group area, and belongs to the technical field of power. The method comprises the following steps: firstly, obtaining a linear multiple regression equation of the generation capacity of the multi-radial flow type small hydropower station group area and the mutual factors which can influence the generation capacity by using a partial least square model, meanwhile modeling the relevant factor sequences by using an improved gray prediction model to obtain a relevant factor prediction value, subsequently substituting the obtained relevant factor prediction value into the linear multiple regression equation obtained from the partial least square model, so as to obtain a prediction value of the generation capacity of the multi-radial flow type small hydropower station group area, and finally obtaining relative errors according to the prediction value of the generation capacity. The method is high in prediction precision and remarkable in prediction effect.
Owner:KUNMING UNIV OF SCI & TECH
Method for predicting noise of aero-engines on basis of multi-regression
ActiveCN106845111AGuaranteed accuracySolve engineering problemsSpecial data processing applicationsInformaticsAviationTime domain
The invention provides a method for predicting noise of aero-engines on the basis of multi-regression. The method includes acquiring time-domain signals of the internal noise of the aero-engines and working state parameter matrixes of the aero-engines; preprocessing the time-domain signals of the internal noise of the aero-engines to obtain 1 / 3 octave spectra and total sound pressure levels of the internal noise of the aero-engines; establishing multi-regression equations of sounds pressure levels of the internal noise of the aero-engines by the aid of least square processes according to the 1 / 3 octave spectra of the internal noise of the aero-engines and the working state parameter matrixes of the aero-engines; collecting working state parameters of the aero-engines in real time; inputting the corresponding working state parameters of the aero-engines in certain working states into the multi-regression equations of the sound pressure levels of the internal noise of the aero-engines to obtain linear analysis 1 / 3 octave spectra and total sound pressure levels of the internal noise of the aero-engines. The linear analysis 1 / 3 octave spectra and total sound pressure levels of the internal noise of the aero-engines correspond to the working states. The method has the advantages that residual errors are controlled, and accordingly the accuracy of load forecast results can be guaranteed.
Owner:SHENYANG AEROSPACE UNIVERSITY
Method for estimating the carbon sink amount of urban green land system and system thereof
PendingCN113177744AQuick estimateMake up for the errorTechnology managementResourcesVisual presentationVertical projection
The invention discloses a method and system for estimating the carbon sink amount of an urban green land system. The method comprises the following steps: constructing a multivariate regression equation of the carbon sink amount of trees and shrubs and influence factors of tree height, crown breadth, diameter at breast height and vertical projection area; through sampling field measurement, obtaining vegetation data including tree height, diameter at breast height, crown breadth and vertical projection area of arbor, shrub and grass; calculating the carbon sink amount in each quadrat by using an existing method; obtaining relevant parameters through scheme index query, multivariate regression analysis of measured data and quadrat carbon sink quantity and the like; and substituting related parameters of different green land types into the multiple regression equation to obtain the urban green land system carbon sink amount of overall planning, and performing visual presentation. The invention provides the method with high operability for estimating the carbon sink quantity of the overall planning layer green land under the scale of the urban built-up area.
Owner:XI'AN UNIVERSITY OF ARCHITECTURE AND TECHNOLOGY
Detection method for characterizing brittleness of surimi gel
ActiveCN108225907AExpand the scope of researchLower requirementMaterial strength using tensile/compressive forcesMaterial strength using steady bending forcesStress–strain curveCurve fitting
The invention belongs to the technical field of food analysis, and particularly relates to a detection method for characterizing the brittleness of surimi gel. The method comprises the following steps: preparing a gel test sample from the surimi gel, placing the gel test sample onto a physical analyzer platform, performing compression and three-point bending test on the test sample by using a probe, performing fitting calculation according to a stress-strain curve to obtain a compression fracture strain epsilon value and a compression constant alpha value, and calculating an area under the curve before fracture according to a force-displacement curve, thereby obtaining an embrittlement work W value; building a surimi gel brittleness multiple-regression equation, in which the epsilon value,the alpha value and the W value are used as independent variables, so as to accurately characterize a brittleness value of the surimi gel. The detection method is high in operability, quick and accurate, and is favorable for detecting the product quality control property.
Owner:HUAZHONG AGRI UNIV
Method for evaluating protective performance EBT value of modacrylic arc-proof fabric
PendingCN111832182AEffective guide selectionEasy to implementDesign optimisation/simulationSpecial data processing applicationsModacrylicStructural engineering
The invention discloses a method for evaluating the protection performance EBT value of an arc proof fabric with modacrylic as a main component. The method comprises the following steps: constructingan evaluation index system of the EBT value of the protective performance of the modacrylic arc-proof fabric; selecting different modacrylic arc-proof fabrics; testing performance parameters of related influence factors of the fabric according to the evaluation index system; testing the EBT value of the fabric; using SPSS correlation analysis to determine main influence factors; establishing a multiple regression equation of the EBT value and the main influence factor; and verifying the multiple regression equation; the invention has the following beneficial effects: a new method for effectively evaluating the EBT value of the modacrylic arc-proof fabric is provided; according to the method for evaluating the protection performance EBT value by utilizing the basic performance of the fabric, existing equipment in a laboratory is reasonably utilized, new equipment does not need to be developed additionally, so that the problems of high direct evaluation cost, long test period and the like of the protection performance of the arc-proof fabric are solved; the indirect evaluation method is simple and clear, is convenient to operate, and can be used for directly and quickly judging the EBT value of the modacrylic arc-proof fabric.
Owner:NANTONG UNIVERSITY
Construction site accident prediction method and device based on image recognition
ActiveCN112163497AImprove accuracyBiometric pattern recognitionNeural architecturesAlgorithmStream data
Owner:GUANGDONG UNIV OF TECH
Establishment method of gene regulating network based on two-way XGBoost
The invention discloses an establishment method of a gene regulating network based on two-way XGBoost. Aiming at the characteristics of time sequence gene expression data, the relationship between anexpression value of a t moment gene and the positions before and after other gene t moment points is analyzed, and local-in and local-out two-way models are established; in a single model, establishment of the gene regulating network is divided into multiple regression equations, the condition of high-order time lag is fully considered, weights of characteristics in a single regression equation are evaluated through the XGBoost, and finally a rank of regulating relationships is acquired; normalization residuals are adopted for carrying out secondary weighting on the characteristics in each independent regression equation, and the weights of the two-way models for the same pair of regulating relationships are combined to form a value to serve as the final score of each pair of gene regulating relationships. The method is suitable for establishing different scales of gene regulating networks under the time sequence gene expression data, and the accuracy of network deduction can be effectively improved.
Owner:CENT SOUTH UNIV
A seasonal lake bottom topography generation method based on multi-source data fusion
ActiveCN109446485AIntegrity guaranteedAchieve acquisitionComplex mathematical operationsCorrelation analysisLandform
The invention discloses a seasonal lake bottom topography generation method based on multi-source data fusion, and relates to the technical field of lake bottom topography generation. The method of the invention aims at the seasonal lakes with large coverage area, uses the basic surveying and mapping data, optical remote sensing image data, LiDAR data, multi-source data such as multi-beam bathymetric data to obtain seasonal lake bottom topography, to make full use of the advantages of each type of data, circumvent its shortcomings, Correlation analysis of data. By constructing multiple regression equation to calculate and generate the topography of deep water area of lake bottom, then, the bilinear interpolation method is used to generate the topography of the shallow water area of the lake bottom, at the same time, by considering the smoothing processing of the indirect crevice of the image, the complete topography of the seasonal lake bottom can be obtained, which not only shortens the time period of on-the-spot survey of the lake topography, but also ensures the integrality and high precision of the lake topography data, and optimizes the production efficiency of the lake bottomtopography data of the seasonal lake with large area.
Owner:江西省国土空间调查规划研究院
Method for calculating adolescents' oxygen intake and exercise intensity in daily activities by load heart rate
A method for calculating adolescents' oxygen intake and exercise intensity in daily activities by the load heart rate belongs to the field of health assessment. The oxygen intake is considered to be associated with a variety of disease risks, so the oxygen intake is critical. Direct measurement of the oxygen intake requires very precise instruments which usually only exist in experimental researchand can not be applied in the field of public physical training. The method uses the oxygen intake collected by a gas metabolic analyzer as the 'gold standard' and establishes a multiple regression equation with other variables such as sex and age. The result of backdating verification shows that the method has high reliability and can easily and effectively predict the oxygen intake of adolescents in daily physical activities. In addition, through the accurate measurement value of gas metabolism as a benchmark, an ROC curve analysis method is adopted, the load heart rate intervals corresponding to different intensity ranges are obtained, and the intensity of exercise is judged through the load heart rate.
Owner:朱琳
Uniform design method for excitation parameter optimization of electromagnetic frequency mixing detection
PendingCN110045003AEase of evaluationFully reflect the impactComplex mathematical operationsMaterial magnetic variablesEvaluation resultUniform design
The invention discloses a uniform design method for excitation parameter optimization of electromagnetic frequency mixing detection. The method comprises the following steps: carrying out a uniform design test by taking four excitation parameters of frequency mixing detection as test factors, and obtaining frequency mixing detection signals under different excitation parameter combinations throughthe detection test; processing the frequency mixing detection signals, extracting various characteristic indexes capable of reflecting frequency mixing response from the frequency mixing detection signals, and constructing a fuzzy model for frequency mixing response evaluation based on the characteristic indexes; and establishing a multiple regression equation of the four excitation parameters according to the fuzzy evaluation result. According to the method, the influence of the excitation parameters on the electromagnetic frequency mixing response is analyzed by adopting a stepwise regression method, and the extreme value of regression equation is solved by utilizing a genetic algorithm, so that the optimal combination of the four excitation parameters is obtained.
Owner:BEIJING UNIV OF TECH
Unmanned aerial vehicle gust load spectrum quick compiling method
ActiveCN112528478AQuick compilationShorten the notation cycleSustainable transportationDesign optimisation/simulationAviationFlight vehicle
The invention belongs to the field of aircraft structure fatigue life design, and relates to an unmanned aerial vehicle gust load spectrum quick compiling method. A group of reference state parametersof the unmanned aerial vehicle are selected, continuous turbulence analysis is adopted to calculate gust response reference characteristic frequency only once, and for the flight state of any task section, a multiple linear regression method is directly adopted to obtain gust response characteristic frequency of the task section. Finally, the transcendental number of each gust speed is calculatedaccording to each task section time in one life cycle so as to finish the quick compilation of the gust load spectrum. According to the method, the multivariate regression equation of the key state parameter ratio and the gust response characteristic frequency ratio only needs to be constructed once, and quick compilation of the design load spectrum, the actual measurement load spectrum and the single-machine load spectrum can be realized, so that the compilation period is shortened; The method is simple and efficient in system, has good engineering applicability, and can be popularized to various aviation aircraft.
Owner:CHENGDU AIRCRAFT DESIGN INST OF AVIATION IND CORP OF CHINA
Three-dimensional gait generating method based on human body motion structure characteristic
The invention discloses a three-dimensional gait generating method based on a human body motion structure characteristic, wherein the method relates to robot control technology. The method comprises the steps of firstly establishing a hip joint coordinate system, and calculating a three-dimensional motion track of an AJC in a self hip joint coordinate system in the single gait period of differentnormal persons; concluding a general three-dimensional gait curve rule, selecting a point which corresponds with a limit value on each three-dimensional motion track as a first-class characteristic point; selecting points on the three-dimensional motion track of an ankle joint central point which corresponds with the generating time of the specific phase of each testee as second-class characteristic points; calculating a regression coefficient in a multivariable regression equation according to the two classes of characteristic points; and finally calculating the generating time of two classesof characteristic points of a certain to-be-tested patient by means of the regression equation, performing sequencing and using the time as a segmenting point, and fitting every two continuous segmenting points for obtaining a three-dimensional closed characteristic curve, and generating the three-dimensional gait of the patient. The three-dimensional gait generating method can perform customization according to the motion and structure characteristics of different persons for generating the adapted three-dimensional gait.
Owner:BEIHANG UNIV
Ecological restoration evaluation method and ecological restoration evaluation device
PendingCN113269464AEase of evaluationEasy to analyzeCharacter and pattern recognitionResourcesPredictive valueIndependent predictor
The invention discloses an ecological restoration assessment method and an ecological restoration assessment device, and the method comprises the steps: obtaining a plurality of standard NDVI of each to-be-assessed region in each time period, carrying out the summation of the data of the plurality of standard NDVI, and obtaining an average value, so as to obtain an average value NDVI of each to-be-assessed region in each time period; obtaining an average value of the climate data of each region to be evaluated in each time period to obtain average value climate data; performing multiple regression equation simulation by taking the average value meteorological data as an independent variable and the average value NDVI dependent variable of each time period of the to-be-evaluated region, and obtaining a predicted value NDVIpre of each time period of each to-be-evaluated region according to a multiple regression equation; obtaining the difference between the predicted value NDVIpre of each time period of the to-be-evaluated region and the corresponding average value NDVI of each time period, so that a plurality of residual errors NDVI can be obtained; forming a residual error curve by each to-be-evaluated area according to the corresponding multiple residual error NDVIs, and performing clustering analysis on the residual error curve corresponding to each to-be-evaluated area.
Owner:INST OF GEOGRAPHICAL SCI & NATURAL RESOURCE RES CAS
A data-driven fracture-cavity oil reservoir oil well water breakthrough time prediction method
ActiveCN109918722AImprove accuracyNeural architecturesComplex mathematical operationsBreakthrough timeGeomorphology
The invention provides a data-driven oil well water breakthrough time prediction method and belongs to the field of oil well water breakthrough time prediction in order to solve the problems that an existing fracture-cavity oil reservoir oil well water breakthrough time prediction method is poor in practicability and low in prediction accuracy. The method comprises the following steps: collectingproduction data of all water-seen oil wells of a studied oil field; Screening high-yield typical wells with water and dividing the wells according to karst backgrounds; Counting water breakthrough early warning parameters of the water breakthrough high-yield typical well under each karst background; Establishing a water breakthrough time prediction multivariate regression equation corresponding toeach karst background; Training a neural network model used for water breakthrough time prediction under each karst background; Verifying the accuracy of two water breakthrough time prediction methods, namely a multivariate regression method and a neural network method, according to the karst background, and selecting a prediction method with higher accuracy under each karst background. The method can effectively avoid the problem that accurate geological data of the fractured-vuggy reservoir are difficult to obtain, and can be popularized to fractured-vuggy reservoirs with various karst backgrounds.
Owner:CHINA UNIV OF PETROLEUM (EAST CHINA)
Energy consumption characteristic value extraction method for lifting mechanism of crane
InactiveCN104239717AAvoid calculationConvenient Energy Efficiency ClassificationSpecial data processing applicationsEngineeringGreek letter epsilon
The invention relates to an energy consumption characteristic value extraction method for a lifting mechanism of a crane. The method comprises the following steps: selecting the characteristic physical quantities, namely, the lifting load, lifting height and lifting speed during lifting of the crane as inputs, selecting a total energy consumption value as an output, and building a multiple regression equation, namely, E=beta0+beta1*1+beta2*2+beta3*3+epsilon; designing a test scheme of different lifting load values changing gradually, a height value and a speed value for testing, and recording an obtained data sample; substituting the obtained data sample into the multiple regression equation, and resolving the multiple regression equation to obtain partial regression coefficients, namely, beta1, beta2 and beta3; analyzing partial regression coefficient values to obtain corresponding energy consumption variation which corresponds to a single physical quantity variation unit value. By adopting the method, the energy utilization of the lifting mechanism of the crane can be analyzed and detected.
Owner:DONGHUA UNIV
Call amount estimating method
ActiveUS8411838B2Improve forecast accuracySpecial service for subscribersForecastingTime limitObjective variables
Owner:P & W SOLUTIONS
Indirect undergraduate cardiorespiratory-endurance detecting and evaluating method based on progressively increased squat and rise movements
ActiveCN109350065AIncrease initiativePromote sports participationDiagnostic recording/measuringSensorsVO2 maxComputer science
The invention discloses an indirect undergraduate cardiorespiratory-endurance detecting and evaluating method based on progressively increased squat and rise movements. The indirect undergraduate cardiorespiratory-endurance detecting and evaluating method comprises the steps that 1, the height and weight of a subject are measured; 2, the subject carries out squat and rise movements with progressively increased burden, the time for each level is represented by T, n squat and rise movements are needed for the first level, then the times of the squat and rise movements for each following level isincreased by m compared with the times of the previous level; 3, the total squat and rise movement times are calculated, and meanwhile the maximum oxygen uptake amount of the subject is measured by utilizing a cardio-pulmonary function remote-sensing instrument; a multielement regression equation is established by utilizing the total squat and rise movement times, the height of the subject, the weight of the subject and the maximum oxygen uptake amount; a least square method is utilized to calculate a regression coefficient of the multielement regression equation; 4, according to the height,weight and total squat and rise movement time of the subject, the multielement regression equation is input, and the maximum oxygen uptake amount of the subject is calculated and serves as a cardiorespiratory-endurance testing result of the subject.
Owner:SHANDONG NORMAL UNIV
Determination method of total heat transfer coefficient of condenser of thermal generator set
Owner:ELECTRIC POWER RES INST OF STATE GRID ZHEJIANG ELECTRIC POWER COMAPNY +1
A Method of Reconstructing Well Logging Curve
ActiveCN104533400BImprove applicabilityHigh precisionSurveyDesign optimisation/simulationLinearityPetroleum
The invention discloses a method for reconstructing a logging curve, and relates to the technical field of exploration and development of petroleum and natural gas. The method comprises the steps of collecting general logging materials of a well adjacent to a target well; selecting a standard layer of a target curve; building a multi-regression model including linearity, index, logarithm and power function; acquiring a corresponding multi-regression equation; calculating the correlation between the target curve of the standard layer and other curves; selecting a base curve for reconstructing the target curve; selecting the optimal multi-regression model based on the selected base curve and according to the maximum correlation principle; deducing the corresponding multi-regression equation; substituting the regression constants, coefficients and the base curve value into the multi-regression equation at the well section suffering from deletion or distortion of the target curve, so as to finish the reconstruction of the target curve. According to the method, the logging curve can be quickly and accurately reconstructed; the operation is simple and convenient; the popularization is easily carried out; the field construction applies, and geological personnel can quick evaluate the stratum information.
Owner:CNOOC ENERGY TECH & SERVICES
A Noise Prediction Method of Aeroengine Based on Multiple Regression
ActiveCN106845111BGuaranteed accuracySolve engineering problemsInformaticsSpecial data processing applicationsAviationState parameter
Owner:SHENYANG AEROSPACE UNIVERSITY
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