50 results about "Uncertainty calculation" patented technology

The invention discloses a non-uniform design flood calculation method. The method comprises the following steps: constructing a drainage basin actual measurement flood sequence by adopting an annual maximum value method; carrying out inconsistent flood frequency analysis by taking the cascade reservoir index RI as a covariable; determining statistical parameters of a future period according to thedrainage basin future period hydraulic engineering plan, and obtaining flood probability distribution of the future period; calculating a design flood value of a certain recurrence period under a non-uniform condition; and performing uncertainty analysis of non-uniform design flood calculation. According to the method, non-uniform design flood calculation is carried out based on the associated cascade reservoir group regulation and storage factors, and the effect is better than that of a time covariable model; according to the method, based on the ENE concept, the unique design flood magnitude corresponding to a certain recurrence period under the non-consistency condition is solved, and a powerful reference can be provided for non-consistency design flood and uncertainty calculation of the non-consistency design flood of a drainage basin with the obvious water conservancy project regulation influence.

Tasks from different types of services are assigned, and work delay about tasks from some types of services is also eliminated. Discloses is a task assignment server. Aiming at the tasks from the different types of the services, estimated values of users' interests and uncertainty of the estimated values are calculated according to users' execution histories; probability of the tasks, which are assigned to other users and from the different types of the services, not being executed is considered, and priorities of the tasks from the services are calculated according to the estimated values of the logged-in users and the uncertainty of the estimated values; and tasks of services of the highest priorities are provided to the users.

The invention relates to a TIMS measuring method for oxygen isotopes. The method comprises the following steps: S1, treatment of a sample; S2, processing of a boat-type tape; S3, pretreatment of the boat-type tape; S4, sample preparation; S5, sample coating; S6, observation of sample coating effects; S7, cleaning of a sample room and a flight-path tube; S8, sample filling; S9, selection and arrangement of receivers; S10, adjustment of evaporation and ionization temperatures; S11, optimization of optical parameters; S12, data acquisition; and S13, correction and uncertainty calculation of a measured value obtained in the step S12. The TIMS measuring method for oxygen isotopes has the characteristics of simple sample preparation, a small usage amount of the sample, accurate measurement, high measurement precision, a fast measurement speed, etc.

The invention belongs to the technical field of signal characteristic control, and particularly relates to a RCS-based uncertainty model verification method. The method comprises the following steps: 1. an event is defined; 2. an event difference is acquired, and concrete types of an event A and an event B are selected; and sweeping frequency radar cross section data of the event A and the event B under a specific azimuth angle and a pitch angle are extracted, and the difference between the two events is acquired via point-to-point comparison; 3. the expected accuracy D is selected, and a binominal distribution is acquired; 4. the Bayes distribution is calculated so as to acquire uncertainty; 5. confidence is assessed: the interval confidence is accessed in a way that the confidence of Theta dropping into the interval of [pm-d, pm+d] with the difference delta meeting a formula (1.2) is accessed; and 6. the uncertainty calculation formula U(pm, d)=1-Q(pm, d) of the event A and the event B is obtained. The technical scheme can be widely applied to verification of theoretical calculation of various standard models. Bayes statistics has capability of small sample statistics so that a Bayes binomial expression of uncertainty has an advantage in small sample estimation.

The invention discloses a device for measuring the leak tightness of an interlayer containment of a nuclear power station. The device comprises a pressure regulating assembly, a data measuring assembly and a data acquiring and processing component, wherein the pressure regulating assembly is communicated with the interlayer containment; the data measuring assembly is distributed inside and outside the interlayer containment, and is used for measuring a plurality of measurement signals of the inside and outside of the interlayer containment under the different internal pressures of the interlayer containment and transmitting the plurality of measurement signals through different paths; the plurality of measurement signals comprise directly transmitted measurement signals and measurement signals to be converted; the data acquiring and processing component is connected with the data measuring assembly through different paths and is used for computing the plurality of directly transmitted measurement signals and converted measurement signals which are received after the pressure is changed for a plurality of times so as to obtain the measurement result of a leakage rate of the interlayer containment. The device, provided by the invention, for measuring the leak tightness of the interlayer containment of the nuclear power station establishes a computation model of the interlayer containment leakage rate and the uncertainty thereof and meets the standard requirement by means of reliable validation. Furthermore, the invention also discloses a method for measuring the leak tightness of the interlayer containment of the nuclear power station.

The invention discloses a piezoelectric balance calibration and use uncertainty evaluation method. The method comprises the following steps: calculating uncertainty U1i of each component of a piezoelectric balance introduced in a weight repeated loading process; calculating uncertainty U2i of each component of the piezoelectric balance introduced by the comprehensive loading error; calculating theuncertainty component U3i of each component of the piezoelectric balance introduced by the weight; calculating a deviation limit Bb, a precision limit Pb and uncertainty Ub carried by the calibratedpiezoelectric balance; when the piezoelectric balance is used for carrying out a force measurement test, using the uncertainty Ub carried by the piezoelectric balance as a deviation limit Btest = Ub to be transmitted to the next stage; using the calibrated piezoelectric balance to carry out m times of wind tunnel force measurement tests, and calculating a precision limit Ptest introduced in a repeated test process; calculating the uncertainty Utest of the force measurement test result based on the deviation limit Btest and the precision limit Ptest of the force measurement test result. According to the invention, the main error source in the calibration and use process of the piezoelectric balance can be identified, and the uncertainty level in the calibration and use process of the piezoelectric balance can be effectively and quickly evaluated.

The invention discloses an AAKR model uncertainty calculation method and system based on resampling, and the method comprises the steps: dividing a historical state data set of a sensor into a training data set and a testing data set, carrying out the denoising on the training data set through a wavelet denoising method, calculating a noise variance, improving the data precision, randomly selecting and replacing the historical state data of the sensor to obtain a new training data set sample so as to optimize the AAKR model architecture and the change among the plurality of model prediction values to obtain the model prediction variance of the plurality of model prediction values, and calculating the mean square error between the prediction values and the test values by utilizing Bootstrapresampling training data. Model deviation is calculated by combining prototype model variance, 95% uncertainty value is formed, modeling calculation of a noise estimation value by an empirical distribution model is not needed, the resampling process is simplified, the calculation efficiency is improved, confidence interval deviation is reduced by combining a Jackknife method, the reliability is guaranteed, and the estimation efficiency is improved on the basis of keeping convergence performance.

The invention relates to a method for evaluating uncertainty of content detection result of polychlorinated biphenyl in single-point quantitative aquatic products and belongs to the technical field ofchemical detection. The method comprises the following steps: measuring the polychlorinated biphenyl content of the aquatic products by a gas chromatography-ECD method, quantifying by an internal standard method, analysing main sources of the uncertainty, quantifying uncertainty component, calculating synthetic standard uncertainty, calculating expanded uncertainty and representing the measuringresult. Accurate analysis and reasonable expression of uncertainty of sample treatment process, instrument measuring process and quantitative analysis process are realized by establishing uncertaintycalculation mathematic models, analyzing related uncertainty sources and performing reasonable quantitative calculation on each component.

The invention discloses an uncertainty evaluation method for calculating polychlorinated biphenyl content detection results in aquatic products through an internal standard curve method and belongs tothe technical field of aquatic product quality safety detection and analysis. The method comprises the following steps: 1, calculating polychlorinated biphenyl content of aquatic species by adoptinga method for determining by a gas chromatograph and drawing an internal standard curve; 2, establishing a quantitative mathematical model X=(Cn3*x*V1*frep)/m of uncertainty of the polychlorinated biphenyl content detection results in aquatic products; 3, analyzing an uncertainty source; 4, determining assessment of each component of the uncertainty; 5, calculating the synthetic standard uncertainty. According to the method disclosed by the invention, by establishing the uncertainty calculation mathematical model, analyzing the related uncertainty source and performing reasonable quantified calculation on each component, accurate analysis and reasonable expression of the uncertainty in a sample treatment process, an instrument determination process and an internal standard curve quantitative analysis process can be realized.

A system and related embodiments are presented that establishes a goal guarantee for a user that provides the user a guarantee of acquiring, at a future date, a life goal based on the user providing a predetermined funding amount over time to a life goal account. The life goal includes goods, real estate and/or services. The predetermined funding amount is determined based at least in part on a predicted future cost for the goal and an uncertainty calculation associated with the user. Once funds are accumulated in the life goal account, the invention provides for automatically reallocating funds in the life goal account from a higher uncertainty investment to a lower uncertainty investment in response to one or more predetermined triggering events, such as dates, amount thresholds, meeting predetermined price thresholds for the goal or components of the goal.

The invention discloses a precision analysis and test method for a test platform of a robot harmonic reducer. According to the precision analysis and test method, the precision of the whole test platform is reflected by testing the performance index of the transmission efficiency. On the basis of the transmission efficiency test principle of a harmonic reducer, a measurement uncertainty model of the test platform is established based on an uncertainty propagation rule by considering influences of uncertainty caused by repetition of the torque and the rotation speed, the uncertainty caused by reading resolution of a digital display instrument, the uncertainty caused by the torque and rotation speed sensor accuracy, and the uncertainty factor caused by data treaty revising; and the measurement uncertainty of the harmonic reducer test platform is calculated and analyzed by combining the uncertainty calculation model, so that dynamic adjustment of the test platform is completed in testing.

The invention discloses a noise coefficient measurement uncertainty calculator and an error analysis method, and belongs to the technical field of testing. According to the invention, a visual integrated calculator user interface is provided, so that the calculation efficiency of the uncertainty of noise coefficient measurement is improved; the change trend of the uncertainty of the whole noise coefficient measurement result along with error factors is clearly displayed through visual graphical display, an element which has the largest influence on the uncertainty of the whole measurement canbe rapidly recognized, and a flexible and reliable quantitative analysis tool is provided for reducing measurement uncertainty and improving measurement precision for users. According to the built-inY-factor method noise coefficient measurement uncertainty calculator provided by the invention, uncertainty calculation in any measurement configuration is realized, and the problems of rapid calculation of uncertainty of a Y-factor method noise coefficient measurement result by a user and quantification, analysis and evaluation of influence factors can be effectively solved; complex calculation is simplified, professional users are universalized, noise coefficient measurement uncertainty calculation efficiency is greatly improved, and the users can optimize and select noise coefficient measurement system schemes conveniently.

The invention belongs to the technical field of natural gas and relates to a method for evaluating the uncertainty of natural gas component measurement. The method includes the following steps that: a, the mole fraction of each component in natural gas is obtained; b, the relative uncertainty of the average value of the reciprocals of the components in a standard gas response factor is calculated;c, the relative uncertainty of the response average value of the components is calculated according to the mole fractions of the components calculated in the step a; d, the uncertainty of the original mole fraction of each component is calculated according to a formula described in the descriptions of the invention; and e, the uncertainty of the post-normalization mole fractions of the componentsis calculated according to a formula described in the descriptions of the invention, so that the uncertainty of the natural gas component measurement can be obtained. According to the method for evaluating the uncertainty of the natural gas component measurement of the invention, uncertainty sources influencing analysis results are given in the form of an equation according to the logical relationship of mathematical models, and therefore, the method is simple and easy to implement.

The invention provides an uncertainty design method for a heat exchanger. Sensitivity analysis is performed on the influences caused by various uncertainty factors related to design of the heat exchanger; the influences caused by a physical model, a pneumatic thermal parameter, geometric dimensional deviation, a machining error, assembling accuracy and the like can be considered; the influence of a single uncertainty factor can be calculated and the comprehensive influences of the various uncertainty factors can be calculated as well; according to the actual requirement, the main influence factors in the factors can be found out so that the calculated amount can be reduced; meanwhile, each main influence factor is considered for conducting uncertainty calculation; a quantitative relation between the confidence coefficient and the heat exchange area of the heat exchanger is established. By the adoption of the designed heat exchanger, the situation that the performance cannot reach the standard in the actual work process is avoided, the weight increase caused by the heat exchanger is reduced as much as possible, and cost is effectively saved. The high requirement of the aerospace field for the performance of the heat exchanger is met and the heat exchanger can be widely applied to other fields.

The invention discloses a heat supply system source load uncertainty calculation method based on an orthogonal polynomial. The method comprises the steps that S1, according to renewable energy source output or heat load accessed by a heat supply system and historical operation data of related factors of the renewable energy source output or heat load, original point moments of all orders of the heat supply system are calculated; s2, selecting a corresponding weighting function and an orthogonal polynomial function according to the approximate distribution type of the historical operation data; s3, based on the selected weighting function and orthogonal polynomial function expansion, calculating a cumulative distribution function of the historical operation data; s4, solving a quantile corresponding to a given cumulative probability value through a numerical method according to the obtained cumulative distribution function; and S5, calculating a probability prediction credible interval corresponding to each data point under a given credible level. According to the method, the fluctuation interval range of the renewable energy output of the supply side or the heat load of the demand side and related factors thereof at a certain moment in the future can be rapidly calculated, double influences caused by the uncertainty of the source load of the heat supply system are effectively coped with, and safe and stable operation and heat supply quality of the heat supply system are guaranteed.

The invention relates to an H-type six-point method-based rotation error in-situ separation method for a precise rotating shaft system. The method comprises the following steps of: firstly, reconstructing a transfer function with an offset factor, and calculating an amplification coefficient G (k) from harmonic uncertainty of a sensor to harmonic uncertainty of roundness error based on the transfer function; and according to the G (k), predicting rotation error separation uncertainty caused by rounding error and noise, and calculating a sampling period and a measurement angle which enable the overall uncertainty of the rotation error to be the lowest. And secondly, constructing an H-type six-point precision rotating shaft system rotation error in-situ separation measurement system. And finally, separating the roundness error of the standard measuring disc and the space error of the ultra-precise rotating shaft system through an improved algorithm, wherein the space error comprises a radial error and a tilt error. According to the method, under the condition of a limited sampling period, rotation error separation uncertainty caused by rounding errors and noise can be reduced, and on-line and real-time separation of radial errors and inclination errors of the ultra-precise rotating shaft system is achieved under the on-load state.

The invention relates to an effect evaluation system and method for the sorting stability of convolutional neural network handwriting recognition. The effect evaluation system includes a convolutionalneural network handwriting recognition module, a parameter estimation module and an uncertainty calculation module, wherein the convolutional neural network handwriting recognition module takes handwritten data of a user as input data, enables the data to pass through a convolutional neural network (CNN), finally outputs the predicted classification probability and carries out sorting according to the classification; the parameter estimation module takes the predicted probability outputted by the CNN handwriting recognition module as the input to estimate parameters required for calculating the relation uncertainty by adopting a statistical mode; and the uncertainty calculation module takes parameters outputted by the parameter estimation module as input data, and estimates the stabilityof a convolutional neural network handwriting recognition sorting result through designing a fusion probability calculation model for the data uncertainty and the data relation uncertainty.

The invention relates to a method for evaluating keff uncertainty caused by nuclear cross section deviation, and belongs to the technical field of nuclear data evaluation. The method comprises the following steps: S1, selecting nuclides needing to be evaluated in a nuclear system to be analyzed; S2, selecting a nuclear cross section, which needs to be evaluated, of each nuclide; S3, respectively calculating the sensitivity of each nuclear cross section selected in the step S2; S4, selecting covariance data corresponding to each kernel cross section, and adjusting or estimating the covariance data; S5, respectively calculating the uncertainty Unck of each covariance matrix to the keff; and S6, calculating the uncertainty Unc of the keff caused by the nuclear cross section deviation of the nuclear system. According to the method provided by the invention, the influence of each covariance matrix on the keff uncertainty is calculated through the nuclear cross section sensitivity data and the covariance data, so that the uncertain value of the keff caused by the nuclear cross section deviation can be quantitatively obtained, and design, analysis and evaluation can be guided.

The invention discloses a pose uncertainty evaluation method. The method comprises the following steps of 1) giving a pose uncertainty definition, geometric representation, algebra representation and physical significance; 2) establishing an analysis relationship between pose uncertainty and position uncertainty of a measurement target point according to an analysis algorithm for pose calculation, and determining an analysis algorithm for the pose uncertainty; 3) analyzing a pose uncertainty source and dividing the pose uncertainty source into two major types including target point measurement uncertainty and target point actual position fluctuation uncertainty; 4) for pose measurement and uncertainty evaluation demands, determining a measurement system type selection scheme and a sampling policy, and collecting target point measurement data samples; 5) analyzing the target point measurement data samples by adopting a principal component analysis method, and separating out the target point position fluctuation uncertainty and the target point measurement uncertainty; and 6) according to the analysis algorithm for the pose uncertainty, calculating the pose uncertainty by utilizing the target point position fluctuation uncertainty.

The invention relates to a method for measuring and calculating flow of a water distribution port of a water supply channel. The method comprises the following steps: determining the measurement uncertainty of a reference water supply pipeline system; determining the measurement uncertainty of measurement parameters of a reference water supply pipeline; calculating the relative uncertainty of theroughness rate; judging the relative uncertainty of the roughness rate of the reference water supply pipeline; calculating the roughness rate; determining the measurement uncertainty of a to-be-measured water supply pipeline system; determining the measurement uncertainty of the measurement parameters of a to-be-measured water supply pipeline; calculating the relative uncertainty of flow measurement and calculation; judging the relative uncertainty of the flow of the to-be-measured water supply pipeline; and calculating the flow. According to the method in the invention, the data of the reference pipeline is used for performing roughness rate relative uncertainty calculation and judging whether the reference error is within an allowable range; through the judgement of the relative uncertainty of the flow of the to-be-measured pipeline and the measuring and calculating precision of the to-be-measured pipeline, the pipeline is not subjected to any change of perforation and arrangement ofaddition equipment and the like, the flow data can be accurately acquired by only utilizing the existing pipeline and the read number of various measuring instruments, and metering errors are avoided.