35 results about "Measurement theory" patented technology

A novel method for real-time small-signal stability analysis for power electronic-based components in a power system. The method is based on impedance measurement techniques and Generalized Nyquist Criterion. The method is capable of real-time application. The method may be used to monitor a system in real-time by perturbing the system persistently and utilizing the system's responses to calculate source / load impedance in time-domain and based on d-q impedance measurement theory. Time-domain results may be transferred to frequency-domain results by taking advantage of a fast Fourier transform algorithm (or optionally discrete Fourier transformer for discrete systems) and monitoring the system's stability by obtaining a Nyquist contour and employing Generalized Nyquist Criterion or unit circle criterion.

The invention discloses an EMD based fiber-optic gyroscope temperature drift multi-scale extreme learning machine training method. The EMD based fiber-optic gyroscope temperature drift multi-scale extreme learning machine training method comprise the following steps of (1) adopting a bounded ensemble empirical mode decomposition (EEMD) method to respectively decompose drifting output data of a fiber-optic gyroscope in different temperature-changing-rate environments into a series of intrinsic mode functions; (2) adopting a sample entropy (SE) measurement theory to calculate SE values of the intrinsic mode functions (IMF) in the step (1); (3) determining an IMF set led by noise and an IMF set having different self-similarity features according to the fluctuation trend and sizes of the SE values; (4) superposing the IMF sets determined in the step (3) and having the similar self-similarity features to serve as ELM model training inputs, using temperature gradients at the temperature change rates corresponding to the group of output data as another input training ELM model, similarly, using different superposed self-similarity IMF and corresponding temperature gradients to generate different ELM models through training; (5) accumulating the multiple ELM models generated in the step (4) to obtain a final integrated multi-scale model.

The invention discloses an automatic classifying method of flow cytometry and a relative device, which comprises A1, according to at least two paths of light signal generated by one-by-one passing collected each cell or particle through illuminated region, representing each cell or particle into one vector with at least two dimensions and relation with the light signal strength of each path, B1, calculating two-two distances of all effective cells or particles, while the similarity of two cells or particles is higher along with the distance reduction, C1, aggregating the cells or particles with high similarity into one class, D1, repeating the step C1, at least aggregating all effective cells or particles into classes not lower than L according to the measurement theory. The invention canaccurately, effectively and automatically classify particles.

The invention relates to a complex multi-pipeline system detection method. Mark points adhered to the surfaces of attachments in a to-be-detected pipeline system are used as the basis of industrial photogrammetry solution for later solution of inner and outer parameters of a digital camera; scales placed at the edges of the pipeline system or in other adjacent pipeline systems are used for carrying out corresponding solution on a pixel size of a camera and an actual length size of the camera in a physical coordinate system. According to the complex multi-pipeline system detection method disclosed by the invention, an optical measurement means is used; by image processing, two-dimensional pipeline identification is carried out; based on an industrial close-range photogrammetry principle, reconstruction of a three-dimensional pipeline is carried out. An image is used for carrying out data processing and the industrial photogrammetry principle is very high in three-dimensional reconstruction accuracy, and thus, only images at different angles need to be shot for complex pipelines; the complex multi-pipeline system detection method is simple and convenient to operate, and accuracy of pipeline detection is ensured.

This invention is based on electromagnetism lossless measurement theory and provides an impulse exciting electromagnetism resonance safety measurement method and its apparatus and belongs to electromagnetism lossless measurement technique field. This invention adopts transient high-energy impact excitation loop and establishes an attenuation resonance magnetism field. The detection loop is used to feel space magnetism field excitation and is connected with the alarming circuit through signal process circuit.

A soft measurement method for the remaining length of a melting electrode in an electroslag furnace is based on the complex force relationship of the electrode to obtain the soft measurement formula of the electrode length, and the soft measurement formula for the remaining length of the electrode is obtained according to the changing relationship of each position in the smelting process and the melting crystallization model. Due to the influence of interference factors and uncertain factors, a single weight prediction model or position prediction model is not accurate enough, so according to the multi-sensor measurement theory, the results of the two are fused, and a multi-sensor information fusion algorithm based on random weighted estimation is used. , which is used to solve the problem of optimal allocation of weights when multiple sensors measure the remaining length of electrodes. The invention belongs to the field of electroslag metallurgy, provides necessary conditions for the automatic electrode changing operation of a large electroslag furnace, can reduce waste of precious metal raw materials, reduce production cost and improve production efficiency. The method is characterized by safety, reliability, low cost and easy promotion.

The invention relates to the technical field of omnidirectional radar and discloses an omnidirectional radar angle-measurement method and system based on a rotating-field antenna. The method comprises the steps that airspace is divided according to an antenna combination mode; the azimuthal angle theta of a target trace point is calculated in an amplitude comparison and angle measurement mode; the tract point and flight path data association calculation is carried out, and flight paths meeting relevant requirements are updated; for flight paths not meeting the relevant requirements, a target true azimuthal angle is calculated, and flight paths are set, or trace point condensation processing is carried out. According to the omnidirectional radar angle-measurement method and system based on the rotating-field antenna, by the adoption of signal emitting time and space diversity technology, the problem that a measurement angle is fuzzy is solved, an omnidirectional radar angle-measurement theory based on the rotating-field antenna is perfected, and the omnidirectional radar with various advantages can be put into actual engineering application.

The invention belongs to the technical field of gas cut monitoring, and relates to an early detection device of gas cut in oil and gas drilling based on measurement of impedance. The main structure of the device comprises hollow pipes, through holes, prisms, chamfers, grooves, measuring circuit boards, lead wires, poles, cover boards, pole fasteners, insulated sealing layers, routing holes and bolts. By the impedance measurement and imaging method, gas cut is distinguished based on the great difference in impedance between drilling fluid and gas, the gas contents in different positions on the circumferential direction of a well casing are obtained by a plurality of poles uniformly distributed in the circumferential direction, and the early detection device is suitable for the condition that gas is unevenly distributed in the circumferential direction and improves the reliability of measurement. The early detection device has the beneficial effects of simple structure, scientific and reasonable measurement theory, convenient operation, good practicability, service environment friendliness, strong universality, low monitoring cost, strong applicability and easy popularization and use, can detect gas cut more accurately and reliably in time, and can realize early monitoring and detection of gas cut by MWD (Measure While Drilling) equipment.

A method for identify isotope patterns in mass spectral data, comprising obtaining a desired mass spectral peak shape function; obtaining mass spectral data composed of actual isotope patterns to be analyzed; calculating theoretical isotope pattern from known elemental composition of at least one basic ion whose isotope pattern is representative of the ions to be analyzed, by using mass spectral peak shape function; comparing quantitatively corresponding parts of the theoretical isotope pattern to that of the mass spectral data; calculating a numerical metric to measure similarity between the theoretical isotope pattern and actually measured isotope pattern; and utilizing the numerical metric as an indication for possible presence of ions whose isotope patterns resemble that of the basic ion. A computer for and a computer readable medium having computer readable code thereon for performing the methods. A mass spectrometer having an associated computer for performing the methods.

The invention discloses a quantization method for calculating distribution credibility of feature matching points, which comprises the following steps of: acquiring image plane coordinates of all feature matching points in a stereo image pair, and estimating a range of a feature matching point set in a stereo image overlapping region and central point position coordinates of the overlapping region; redistributing the feature matching points of the stereo image pair overlapping area to enable the feature matching points to be uniformly distributed; respectively calculating HDOP values corresponding to the original characteristic matching point set and the characteristic matching point set after redistribution in the stereo image pair overlapping area, namely an HDOP actual measurement theory and an HDOP theory; on the basis of calculating the relative error (a = (HDOP actual measurement-HDOP theory) / HDOP actual measurement) of the HDOP actual measurement relative to the HDOP theory, using a credibility value ((1-a) * 100%) to represent the influence degree of the extracted characteristic matching point distribution on the quality of the reconstructed three-dimensional model based onthe stereo image pair. According to the method, the internal projection relation of the image can be described for the basic matrix, and a measurement standard is provided for measuring the three-dimensional modeling precision of the image.

The invention discloses an arteriovenous image reconstruction method based on CNN and multi-electrode electromagnetic measurement. The arteriovenous image reconstruction method comprises the steps of1, obtaining a data set; 2, dividing a large amount of sample data into a training set and a verification set by adopting ten-fold cross validation; 3, designing a network structure of the CNN; 4, dividing the data into a plurality of batches by adopting a small-batch gradient descent algorithm, and updating parameters in batches; 5, defining a forward propagation process of the CNN; 6, compilinga training module program; 7, compiling a verification module program; 8, carrying out programming through MATLAB software, and calling a meshgrid function and a griddata function; changing respectivecorresponding pixel point values of the original image and the reconstructed image into images; and 9, obtaining distribution of arteries and veins according to an image reconstruction result. According to the invention, based on the convolutional neural network CNN and the multi-electrode electromagnetic measurement theory, the arteriovenous image reconstruction of human limbs is carried out, the regional weight function is determined, and the multi-electrode electromagnetic measurement is better applied to the blood flow velocity measurement of different individuals.

The invention discloses a cloud evaluation system implementation method based on a QTI standard. The method comprises a cloud evaluation plug-in, a test question processing module, an evaluation module, a data analysis module and a visualized presentation module. A teacher obtains the test question data information and performs a pre-processing operation through the evaluation plug-in, generates atest question resource file based on the QTI standard, and then uploads the test question resource file to the cloud server. A student obtains the test question information and answers the test question. A system analyzes the student's answer data according to a classical measurement theory and a data mining algorithm based on an association rule, and displays an analysis result in the form of agraph. The method can provide teaching evaluation support for teachers and students. Through the data analysis of the evaluation results, the method objectively reflects the students' learning status,analyze and evaluates the quality of the test questions, is helpful to improve the teaching process plan, adjust the teaching focus, and grasp the teaching quality, and has great significance to theteaching of teachers and students.

The invention provides a luminance detector, comprising a shell, a standard light source, a light source collecting unit, a photoelectric detector, a processing unit and a display unit, wherein the standard light source, the light source collecting unit, the photoelectric detector and the processing unit are arranged in the shell; the display unit is arranged outside the shell; the light source collecting unit and the photoelectric detector are arranged in sequence along the light path to be detected of a to-be-detected light source; and the light source collecting unit comprises a beam splitter prism, a small objective lens which is arranged between the beam splitting prism and the standard light source, a bandpass filter which is arranged between the beam splitting prism and the to-be-detected light source, and an imaging objective lens which is arranged between the beam splitting prism and the photoelectric detector. The luminance detector can be used for measuring the to-be-detected light source on the basis of a relative measurement theory, the usage range of the luminance detector can be effectively expanded, measurement can be carried out under a non-specified detection environment, and the influence of the noise and aging of the photoelectric detector on the luminance detection result is reduced. The luminance detector is small in size and light in weight.

A situation recognition apparatus and method analyzes an image to convert a position and motion change rate of an object in a space and an object number change rate into energy information, and then changes the energy information into entropy in connection with an entropy theory of a measurement theory of a disorder within a space. Accordingly, the situation recognition apparatus and method recognizes an abnormal situation in the space and issues a warning for the recognized abnormal situation. Therefore, the situation recognition apparatus and method recognizes an abnormal situation within a space, thereby effectively preventing or perceiving a real-time incident at an early stage.

The invention discloses a satellite gravity gradient determining method and system. The method includes: building the local north-oriented reference frame of a gravity gradient satellite; determiningthree base lines according to the local north-oriented reference frame; building a common-point orthogonal base line model according to the three base lines; determining satellite gravity gradient according to the common-point orthogonal base line model representing a satellite gravity gradient measuring theoretical model. By the method and system, the gravity gradient measuring satellite can be conveniently designed, the measuring errors and key technologies of the gravity gradient measuring satellite can be accurately and comprehensively analyzed, and satellite gravity gradient determining precision is increased.

The invention discloses a regional drought prevention and disaster reduction evaluation method and device, and the method comprises the steps: collecting the evaluation indexes of drought prevention and disaster reduction of a preset region, and building a drought prevention and disaster reduction index evaluation system; determining the subjective weight of each level of index in the index evaluation system by adopting an analytic hierarchy process; determining objective weights of all levels of indexes in the index evaluation system by adopting a CRITIC method; respectively endowing each subjective weight and each objective weight with a corresponding first coefficient and a corresponding second coefficient by adopting a golden section method, and calculating to obtain a comprehensive weight corresponding to each level of index; respectively establishing a single-index unascertained measurement matrix and a multi-index unascertained measurement matrix according to the comprehensive weight and an unascertained measurement theory; calculating according to the multi-index unascertained measurement matrix to obtain a comprehensive measurement evaluation result corresponding to each index, and performing confidence identification on the evaluation result; and determining an evaluation result of the drought prevention and disaster reduction capability of each region in the preset region according to the confidence identification result.

The invention discloses an airborne equipment electromagnetic compatibility grading method based on an unascertained measurement theory. The method comprises the following steps of S1, measuring the grading evaluation indexes of the electromagnetic compatibility of airborne equipment, and building a grading evaluation index set; S2, establishing a measurement function of grading evaluation indexes by applying an uncertain measurement theory; S3, solving a single index evaluation matrix of the electromagnetic compatibility of the airborne equipment; S4, solving a grading evaluation index weight of each electromagnetic compatibility by using an information entropy method; S5, solving the comprehensive attribute measure of each airborne device; S6, solving quantitative grading or classification of the electromagnetic compatibility of the airborne equipment on the airplane; and S7, obtaining the electromagnetic compatibility design priority and design weight of the airborne equipment. According to the method, the cross correlation of evaluation indexes is low, the evaluation indexes can be measured and examined, the evaluation indexes can serve as a priority strategy for system-level electromagnetic compatibility index distribution, and a theoretical basis is provided for quantitative design of electromagnetic compatibility of the whole aircraft system.

The invention relates to the technical field of gear measurement, in particular to a double arm type measurement instrument of a super huge type gear. The double arm type measurement instrument of the super huge type gear comprises a base seat placed on the upper end face of a measured gear and three dimensional measurement units suspended below the base seat, wherein the number of the three dimensional measurement units is two, and the two three dimensional measurement units are respectively used to measure the inner side and the outer side of the measured gear. The double arm type super huge type gear measurement instrument adopts a measurement theory of using a small part to measure a large part, and overcomes the disadvantages that the measurement center of the super huge type gear and a coordinate measuring machine need long guide rails, instrument cost is high, and measurement accuracy is difficult to improve.

The invention provides a miniature imaging type infrared temperature field measurement system, and the system comprises an infrared imaging module which is used for collecting infrared radiation of a measured object; N radiation homogenizing units which are used for the homogenizing of infrared radiation, wherein N is an integer greater than or equal to two; N single-wavelength filtering units which are corresponding to N radiation homogenizing units, wherein each single-wavelength filtering unit comprises M optical filters which are respectively used for obtaining the infrared radiation at different wavelengths, and M is the number of wavelengths; and an infrared detector which is used for detecting the infrared radiation at different wavelengths and outputting a measurement signal. The multi-wavelength radiation temperature measurement theory is applied to the system, thereby solving problems that a conventional miniature imaging type infrared temperature field measurement system is poor in anti-interference capability, and is poor in measurement precision.

The invention discloses a quantitative evaluation method for the safety confidence coefficient of a steam pipeline in a comprehensive pipe gallery based on a measurement theory. The method comprises the following steps: (1) setting a measuring point station at each node of a steam cabin in the pipe gallery; 2, arranging a monitoring center server, and storing pipe gallery body structure data, pipegallery internal ancillary facility data, pipe gallery internal steam pipeline attribute data and steam pipeline and ancillary facility space geographic data in the monitoring center server; and (3)transmitting the data information acquired by each measuring point station between the monitoring center server and each measuring point station through a wireless communication network, analyzing and predicting the transmitted data by the monitoring center server, and monitoring the steam pipeline in the pipe gallery in real time. According to the method, the safety degree of the steam pipelinein the underground comprehensive pipe gallery can be effectively monitored, early warning information can be provided for a pipe gallery monitoring center in real time, and therefore the operation safety of the whole underground comprehensive pipe gallery system is guaranteed.

The invention relates to a precision lunar lander positioning method and a precision lunar lander positioning system capable of improving libration parameters. Initial data are inputted, and the approximate coordinates of a lander are adopted as the initial coordinates of the position of the lander; aiming at each baseline, theoretical observation values of delayed observations of VLBI (very long baseline interferometry) are calculated according to the initial coordinates of the position of the lander, partial derivatives of the delayed observations with respect to the position of the lander and partial derivatives of the delayed observations with respect to lunar libration parameters are calculated and compose a coefficient matrix, a model is jointly created aiming at the position of the lander and the lunar libration parameters, least square calculation is carried out aiming at the parameter vectors of the model, moreover, whether a calculation result meets a condition of convergence is judged, if so, then the result is outputted, and if not, then iteration is carried out again until the condition of convergence is met. On the basis of creating the observation module for VLBI observation data, the invention firstly puts forward and creates a new model which simultaneously estimates reference system connection parameters (lunar physical libration) and lander positioning parameters, thus remarkably increasing the positioning precision of the lunar lander.

An online measurement hub compensation path generating method includes the following steps that (1) a hub assisting line and assisting points are generated by utilizing a hub model; (2) a measurement data file is generated, specifically, (2.1) measurement points in different directions are created through the assisting line and the assisting points, the measurement points include whole points used for whole hub compensation and window points used for local window compensation, and the whole points and the window points are obtained by creating the measurement points on a curve; (2.2) according to hub characteristics, measurement points of the rest of windows are created, and circumferential marshalling is conducted; (3) all the created measurement points are ranked in an optimized mode, and a path suitable for measurement is generated; and (4) according to measurement options, measurement theoretical data are calculated, and the measurement path is output and finally guided into a machine tool control system. According to the online measurement hub compensation path generating method, manual ranking is not needed, manual calculation is replaced with automatic calculation for compensation values, the using difficulty and calculation amount are reduced, manual input of theoretical compensation values is not needed, and efficiency is improved.

The invention relates to a psychological measurement dynamic optimization-based subjective deep-sea video quality assessment method. The method comprises the following steps: Step S1, semantic measurement of deep-sea video quality; Step S2, designing of deep-sea video quality subjective assessment; and Step S3, performing of a discrete fechner psychological measurement-based subjective quality dynamic optimization assessment strategy. The psychological measurement dynamic optimization-based subjective deep-sea video quality assessment method has the advantages that once the psychological measurement dynamic optimization-based subjective deep-sea video quality assessment method disclosed by the invention is put into operation, the following technical effects can be achieved: scaling is performed from the angle of scientific usefulness; during subjective view quality assessment of a deep-sea video, reasonable scaling is made to the quality of a provided deep-sea video test sequence in principal accordance with a set assessment process and an assessment criterion; redundant assessment is reduced by dynamically tracking an assessment process; and the assessment efficiency can be effectively improved; time and human resources can be greatly saved under a condition of guaranteeing the precision, so that an aim of reducing the cost is fulfilled.

The invention provides a luminance detector, comprising a shell, a standard light source, a light source collecting unit, a photoelectric detector, a processing unit and a display unit, wherein the standard light source, the light source collecting unit, the photoelectric detector and the processing unit are arranged in the shell; the display unit is arranged outside the shell; the light source collecting unit and the photoelectric detector are arranged in sequence along the light path to be detected of a to-be-detected light source; and the light source collecting unit comprises a beam splitter prism, a small objective lens which is arranged between the beam splitting prism and the standard light source, a bandpass filter which is arranged between the beam splitting prism and the to-be-detected light source, and an imaging objective lens which is arranged between the beam splitting prism and the photoelectric detector. The luminance detector can be used for measuring the to-be-detected light source on the basis of a relative measurement theory, the usage range of the luminance detector can be effectively expanded, measurement can be carried out under a non-specified detection environment, and the influence of the noise and aging of the photoelectric detector on the luminance detection result is reduced. The luminance detector is small in size and light in weight.

The invention provides a simplified algorithm for the bending deformation of a cantilever thin plate under force, which can use a frame model composed of five beams to replace the cantilever thin plate, and complete the approximation of the cantilever thin plate by adjusting the stiffness of the five beams. Then get the empirical formula K corresponding to the stiffness of each beam and the position of any concentrated force Ff; when it is necessary to calculate the bending deformation of any point on the cantilever thin plate under the action of the concentrated force Ff, substitute the coordinates of the point into the obtained empirical formula K, to obtain the stiffness of each beam, and then calculate the bending deformation of the point, that is, to obtain the bending deformation of the point on the cantilever thin plate under the action of the concentrated force Ff; within the allowable range of engineering errors, compared with the traditional Finite element simulation, direct measurement, or direct solution with elastic mechanics theory, using the simplified algorithm of cantilever thin plate bending deformation under force, saves calculation time, thereby making timely deformation compensation during thin plate processing, and improving processing efficiency and quality.

The invention discloses a satellite gravity gradient determining method and system. The method includes: building the local north-oriented reference frame of a gravity gradient satellite; determiningthree base lines according to the local north-oriented reference frame; building a common-point orthogonal base line model according to the three base lines; determining satellite gravity gradient according to the common-point orthogonal base line model representing a satellite gravity gradient measuring theoretical model. By the method and system, the gravity gradient measuring satellite can be conveniently designed, the measuring errors and key technologies of the gravity gradient measuring satellite can be accurately and comprehensively analyzed, and satellite gravity gradient determining precision is increased.

The invention belongs to the technical field of data processing in the contour measurement theory and relates to a filtering method for contour line data. The filtering method for the contour line data comprises the following steps: 1) performing the spline filtering to the original measurement data to obtain the filter centerline data; 2) solving weight judgment values corresponding to each data measurement point; 4) setting constant parameters, and comparing the weight judgment values vi of each point with the constant parameters to solve the weight values of each point; 5) recognizing the data of singular values according to the weight values, judging the points with the weight values of 0 as the data points of the singular values, and marking the range of the abnormal data; and 6) replacing the other points in the range of the data of the singular values by the average value of the data of the two data boundary points to obtain a set of new data without the data of the singular values, and performing the cascaded approximating Spline filtering to the new data to obtain the final filter centerline data. The filtering method for the contour line data can stably filter the contour line data.