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65results about How to "Small absolute error" patented technology

Device and method for gradient materials additive manufacturing by using two-wire twin-electrode tungsten inert gas arc

The invention provides a device and method for gradient materials additive manufacturing by using two-wire twin-electrode tungsten inert gas arc. A first partial tungsten electrode and a second partial tungsten electrode are installed below a two-tungsten-electrode argon arc additional material manufacturing gun of the device, and are vertically arranged above a base plate. A first wire guide nozzle and a second wire guide nozzle are arranged in front of the two-tungsten-electrode argon arc additional material manufacturing gun. In the deposition process, two metal wires of dissimilar compositions are conveyed to a melting bath at the same time, the composition and performance of a deposition bead are controlled by adjusting the feeding proportion of the metal wires, and thus manufacturingof the gradient material arc additional material is achieved. It is ensured that excellent forming can still be achieved in the deposition process with large current and high wire feeding speed, thecomposition of the prepared gradient material formed part can be continuously transited from the composition of one metal wire to the composition of the other metal wire without replacement of the welding wires, and the deposition efficiency is up to 330 cm<3>/h; and in addition, the deposition bead is more uniform in composition, and the relative error between the components of the deposition bead and target set compositions is smaller than 10%.
Owner:HARBIN INST OF TECH

Method and system for measuring concentricity and tip clearance of rotor and stator of aero-engine

Disclosed are a method and system for measuring concentricity and the tip clearance of a rotor and a stator of an aero-engine. The method comprises the steps that the clearance amount of the rotor and the stator of the aero-engine at an initial measurement point is acquired; a clearance maximum jerk value FIR value, the phase of the clearance maximum jerk value FIR value, a maximum deviation IMP value between a sampling profile curve concave point and a mean profile, the phase of the maximum deviation IMP value, an eccentric distance ECC value, the phase of the eccentric distance ECC value, a maximum clearance value relative to the rotation center, the phase of the maximum clearance value, a minimum clearance value relative to the rotation center, the phase of the minimum clearance value, a maximum clearance value relative to the geometric center, the phase of the maximum clearance value, a minimum clearance value relative to the geometric center and the phase of the minimum clearance value are obtained; an angle-clearance distribution diagram is drawn; the clearance amount is corrected in the horizontal placement measurement process; a concentricity error value and the tip clearance of the rotor and the stator of the aero-engine are obtained. The system comprises a sampled data analysis module, a rotor and stator concentricity calculation module, a tip clearance analysis and calculation module and a horizontal-measurement deflection correction module. The method and system are suitable for measuring the concentricity and the tip clearance of the rotor and the stator of the aero-engine.
Owner:NORTHEASTERN UNIV

Method for rapid accurate determination of superelevation reflectance ratio eyeglass

The invention relates to the optical element parameter measurement, particularly relates to a fast and accurate method for testing eyeglass with ultra-high reflectivity. In order to solve the problem that the prior art of testing eyeglass with ultra-high reflectivity has low measurement precision and the debug takes time and labor. The invention includes the following steps: (1) constructing the optical cavity and the affiliated members; (2)coinciding the reference light source and the measuring light source in space; (3) adjusting the calibration moving plate; (4) accurately adjusting the optical path closure degree of the optical cavity; (5) fine adjusting the place of the matching lens, determining the fundamental transverse mode, and causing the laser light source fundamental transverse mode to match with the fundamental transverse mode of the tested optical cavity effectively; (6) fitting by the characteristic time I(t)=I0exp(-tcL/2d) and obtaining the total loss L of the tested cavity. The invention introduces the visible light source as the reference light which greatly reduces the difficulty of adjusting of the cavity. The invention can measure and screen the optical lens with high quality in batch. The test precision of the method provided by the invention is higher than 5x10-7.
Owner:SHANXI UNIV

Track data processing method and device, computer equipment and storage medium

The invention relates to a track data processing method and device, computer equipment and a storage medium. The method comprises the steps that track starting data and track ending data correspondingto a target object are acquired, wherein the track starting data and the track ending data are obtained according to positioning, or the track starting data and the track ending data are closed-looptrack data; a corresponding initial correction track data sequence is acquired according to the track starting data and the track ending data, wherein the initial correction track data sequence comprises multiple pieces of initial correction track data, and the initial correction track data is obtained by performing filtering according to measured motion data and predicted motion data corresponding to the target object; and each piece of initial correction track data in the initial correction track data sequence is adjusted according to the track starting data and the track ending data to obtain a target correction track data sequence, wherein the target correction track data sequence is used for determining a target track corresponding to the target object. Through the method, the accuracy of the track data of the target object can be improved.
Owner:TENCENT TECH (SHENZHEN) CO LTD

Accurate positioning method for edgewise cleaning by unmanned cleaning vehicle

An embodiment of the invention relates to an accurate positioning method for edgewise cleaning by an unmanned cleaning vehicle. The method comprises steps of: receiving IMU data, pulse data of a wheelspeed sensor, and laser positioning or GPS positioning data; monitoring a vehicle state according to the IMU data and the pulse data of the wheel speed sensor, and if the vehicle state meets a presetstatic condition, calculating an initial horizontal attitude angle of the vehicle and a power-on initial zero offset value of a three-axis gyroscope according to acceleration data output by an IMU, so as to complete initialization; then, updating attitude quaternion by using angle speed output by the IMU and updating speed and position by using acceleration data output by the IMU, establishing acorresponding filter model and completing prediction, when data of the wheel speed sensor, laser positioning or GPS positioning is received, filtering to obtain error correction amount and correctingcurrent quaternion, position and speed, so as to obtain accurate attitude information of the vehicle at the moment, performing dead reckoning by using the wheel speed sensor, so as to obtain a position and an attitude of the vehicle in a navigation coordinate system at present.
Owner:BEIJING ZHIXINGZHE TECH CO LTD

Calibration device and method for carrying out calibration on transfer function in monitoring device

The invention discloses a calibration device and a method for carrying out calibration on a transfer function in a monitoring device. The method comprises the steps: setting m parameters of the transfer function as parameter values of first iteration; carrying out at least one iterative process; in a jth iterative process, if a calculated error evaluation value s is smaller than an evaluation target value according to AD1-ADn, Rxp1-Rxpn, and a parameter value of jth iteration, confirming the parameter value of the jth iteration as a calibration result; if not, adjusting the parameter value of the jth iteration according to a shrinkage algorithm, obtaining a parameter value of j+1th iteration, and continuing the next iterative process, wherein the Rxp1-Rxpn are n index values of a monitored object, and the AD1-ADn are n sampling values. Due to the fact that the shrinkage algorithm is adopted to carry out iterative calculation on the parameters of the transfer function, the process of missing solution of equations is avoided, the method can be applied to situations of a non-linear transfer function and a non-least-square error evaluation function, and accordingly the calibration method has wide application situations.
Owner:HISENSE BROADBAND MULTIMEDIA TECH

Machine tool thermal error modeling method and test system based on golden section and cumulative regression

InactiveCN104090526AQuick fixReal-time compensation is validProgramme controlComputer controlAlgorithmThermal deformation
The invention discloses a machine tool thermal error test point optimizing and modeling method. The method includes the following steps that (1) thermosensitivity analysis is performed on a spindle, and quantitative analysis is preliminarily performed in combination with the actual size of the spindle; (2) cut points are arranged in a thermosensitive area according to the golden section method, thermal error synchronous tests are performed, and the optimum thermosensitive area is determined with the relevancy between thermal deformation at different temperatures; (3) points are evenly distributed in the thermosensitive area for tests, and sample data are superposed correspondingly according to a certain superposition rule, cumulative summation is performed, a regression equation is established, and parameters of a regression model are estimated. Through the method, the optimum point distribution area can be found fast and conveniently, and the problems that traditional point distribution according to experience is redundant in data, low in reliability and the like are solved; a cumulative regression algorithm is adopted for modeling, error items can be not directly processed, and thus the method has the advantages of being simple, visualized, convenient for a computer to implement and the like and has higher efficiency and precision than the least square method.
Owner:NANTONG UNIVERSITY

Weight calibration device for large-mass comparator

The invention discloses a weight calibration device for a large-mass comparator and relates to the field of measurement. The weight calibration device for the large-mass comparator comprises a base, wherein a weighing tray for weighing weights is arranged on the base, a supporting structure, wherein the supporting structure is arranged on the weighing tray and a supporting gap is arranged on the supporting structure and the width of the supporting gap is smaller than the diameter of the weight, a loading frame, wherein the loading frame is detachably connected to the base and the loading framecomprises a loading table for supporting the weight. When the loading frame is arranged on the base, the loading table is arranged in the supporting gap, and the distance between one side of the loading table which is far away from the base and the base is smaller than the distance between one side of the supporting structure which is far away from the base and the base. According to the weight calibration device for the large-mass comparator, the influence of the loading frame on the calibration process is reduced, namely, the possibility of absolute error generation is reduced, and the accuracy and stability of the comparator weight calibration are improved.
Owner:SHANGHAI INST OF MEASUREMENT & TESTING TECH

Modeling and fault early warning method and modeling and fault early warning system for dry-type reactor

The invention provides a modeling and fault early warning method and system for a dry-type reactor, and the method comprises the steps: building an electromagnetic-circuit two-dimensional analysis model of the dry-type reactor through Maxwell, enabling the model to comprise a finite element magnetic field model and a circuit model, and obtaining the packaging loss through the calculation of the model; calculating temperature field and flow field distribution of the reactor by taking the encapsulation loss as a heat source of a three-dimensional fluid-temperature field, and performing multi-physical field model fusion by adopting a loop iteration algorithm to establish a three-dimensional fluid-temperature field finite element model; carrying out order reduction on the three-dimensional fluid-temperature field finite element model by adopting a PSO-SVM fusion algorithm; and on the basis of the model establishment, various turn-to-turn short circuit fault simulation is carried out to realize fault identification and early warning discrimination. According to the modeling and fault early warning method, the early warning accuracy is improved, and the method can be widely applied to the field of design and early warning of dry-type reactor equipment.
Owner:INNER MONGOLIA POWER GRP

System and method for adjusting ink control information

InactiveCN101554796BFull measurement and controlMultiple measurement and controlPrinting press partsPictoral communicationComputer graphics (images)Printing ink
The invention discloses a system and a method for adjusting ink control information. The system comprises a printing ink control information observing and controlling driver, an image color data observing and controlling unit, an image color data converting unit and an ink control information adjusting and outputting unit. The printing ink control information observing and controlling driver is used for selecting an observing and controlling target; the image color data observing and controlling unit is used for observing and controlling the image color reflection information data of an advance sheet and a printed sheet and converting the data into image RGB color data; the image color data converting unit is used for converting the image RGB color data so as to obtain ink amount control information reference data and contrast data as well as obtaining the ink control information data by contrast calculation; and the ink control information adjusting and outputting unit is used for adjusting the ink control information data and transmitting the data after being adjusted to a printer server. The system and the method for adjusting ink control information solve the problem of hard color consistency between the advance sheet and the printed sheet during printing operation and leads the color deflection existing between the advance sheet and the printed sheet to be adjusted by users, thereby obtaining objective printing image color data and leading the colors of the printed sheet and the advance sheet to maintain a more consistent state.
Owner:ZHEJIANG IMGS PRINTING

Oil reservoir automatic history fitting method based on generative adversarial network

The invention provides an oil reservoir automatic history fitting method based on a generative adversarial network, and the method comprises the steps: carrying out the collection of data, and forminga data set through permeability field data and production data; preprocessing the data set, and dividing the data set into a training set, a verification set and a test set; training a generative adversarial network model by using the training set data, and selecting an optimal model for storage by using the verification set data; reading the stored optimal model, inputting test set data, and generating a corresponding permeability field; performing numerical simulation on the permeability field data generated in the previous step to obtain production data b, comparing the production data b with production data B corresponding to a real permeability field in the test set, and performing result verification; and applying the model which is verified to be qualified through a result to actual oil well geological condition prediction. According to the method, an agent model or expert experience is not needed, the mapping relation between static parameters (permeability fields) and dynamicproduction data is found by training the generative adversarial network, and the geological condition is obtained through the oil well production data.
Owner:CHINA UNIV OF PETROLEUM (EAST CHINA)

Spectrum online blood glucose analyzer and insulin pump control method

ActiveCN112370607ATimely and precise adjustment of infusion volumePrecisely adjust the infusion volumeMedical devicesPressure infusionWireless dataEngineering
The invention discloses a spectrum online blood glucose analyzer and an insulin pump control method, and relates to an insulin pump therapeutic instrument for diabetic patients. The spectrum online blood glucose analyzer and the insulin pump control method are invented mainly for solving problems that an existing insulin pump can only reflect a blood glucose condition at the time of blood samplingand cannot continuously measure a blood glucose level. A blood glucose concentration in a human body is analyzed and measured on line in vitro by utilizing a spectrum on-line analysis technology, andan insulin infusion dosage is adjusted and a treatment scheme is optimized according to continuous detection and analysis data of an on-line analyzer in combination with artificial intelligence systems such as remote medical support and the like. The data are transmitted to a central module through a wireless data network, the central module controls a program controller PLC, and then the PLC regulates and controls operation of an insulin pump. The insulin pump, insulin storage bottles and the program controller PLC are integrated in a portable box body, and two or more insulin storage bottles are arranged in the box body, so that the invention has advantages that online switching of insulin types can be carried out at any time according to treatment requirements, and an optimal treatmenteffect is achieved.
Owner:李兴阳 +1

Frequency deviation estimation method and device, and communication equipment

The invention provides a frequency deviation estimation method and a device, and communication equipment. The frequency deviation estimation method comprises the following steps: acquiring at least three sections of received sampling data corresponding to a known channel estimation sequence; according to each section of received sampling data and the corresponding channel estimation sequence, obtaining a phase elimination sequence corresponding to each section of received sampling data; carrying out difference calculation on any two sections of phase elimination sequences to obtain a difference result corresponding to the two sections of phase elimination sequences, and obtaining a difference distance of the difference result according to a time interval between the two sections of phase elimination sequences; adding the differential results of all the same differential distances to obtain an accumulated differential item of each differential distance; performing weighted summation onall the accumulated differential items with different differential distances to obtain a mixed differential item; and estimating the frequency deviation between the data sender and the data receiver according to the mixed differential item. According to the method, the estimation accuracy of the frequency deviation can be improved under the condition of obtaining the same received data.
Owner:上海移芯通信科技股份有限公司

Mechanism and brain-like intelligence combined online soft measurement method for quality of coal as fired of power plant

ActiveCN110647560ARealize online intelligent soft measurementRealize online real-time soft measurementData processing applicationsDigital data information retrievalMonitoring siteThermodynamics
The invention discloses a mechanism and brain-like intelligence combined online soft measurement method for quality of coal as fired of a power plant.. The method comprises the steps of collecting monitoring data of 190 conventional monitoring points in real time; and extracting original principal component characteristics of the monitoring data, inputting the original principal component characteristics into a pre-established online soft measurement model of the coal as fired of the thermal power plant, and outputting soft measurement values of online element components and industrial components of the coal as fired. Under the condition of not adding any hardware facility, real-time and accurate online soft measurement of the quality components of the coal as fired can be realized, and areal-time online basis can be provided for combustion optimization, intelligent control and decision making of a thermal power plant; in addition, the method utilizes real-time data of conventional monitoring points of a thermal power plant to realize soft measurement of coal quality of as-fired coal and five element components and four industrial components at the same time; wherein the soft measurement absolute error of each component is less than 1%, and the soft measurement time is less than 1 second.
Owner:SHANXI SANHESHENG IND TECH +1

Construction method of boundary forest model, multi-working-condition soft computing model updating method for complex industrial process and application thereof

The invention discloses a construction method of a boundary forest model, a multi-working-condition soft computing model updating method for a complex industrial process and an application thereof, belonging to the field of computer application. In order to solve the problem that prediction values are unreliable due to the fact that leaf nodes of a tree integration model easily generate blank areas in an output range, when a current training set under a certain working condition is known, the construction method comprises the steps: setting different leaf node minimum sample numbers, and establishing K tree integration models with different leaf node boundaries by using different leaf node minimum samples; predicting output values of all samples in the current training set by using a treeintegration model, and forming a prediction matrix by the predicted output values; according to the prediction output value of the prediction matrix, constructing a correlation matrix of the prediction output value and a real output value; and calculating a fusion weight vector, using the weight vector, and fusing the tree integration models with different boundaries into a boundary forest model,so that the leaf nodes of different tree models cover each other, and the blank area of a single tree on an output boundary is filled, and a reliable prediction value is generated.
Owner:DONGBEI UNIVERSITY OF FINANCE AND ECONOMICS
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