Patents
Literature
Patsnap Copilot is an intelligent assistant for R&D personnel, combined with Patent DNA, to facilitate innovative research.
Patsnap Copilot

320results about How to "Proof of accuracy" patented technology

Large K-waveband conformal antenna array plane and preparation method thereof

ActiveCN106099337AGood axial ratioWide bandwidth and good angular axis ratioParticular array feeding systemsRadiating elements structural formsMicrostrip patch antennaElectrical conductor
The invention discloses a large K-waveband conformal antenna array plane and aims to provide a conformal phased array antenna array plane which does not generate a frequency deviation or a relatively high derotation component, and has a good broadband wide-angle scanning gain characteristics and good broadband wide-angle scanning circular polarization characteristics. The large K-waveband conformal antenna array plane is realized through the following technical scheme: conductor patches are divided into four groups and are arranged on an upper surface of a lower dielectric substrate in a form of a quadrant sequence rotation array, and projections of feeding points of a micro-strip patch antenna on a plane plate are arranged triangularly; the conductor patches are sandwiched between an upper dielectric substrate and the lower dielectric substrate; a radio frequency coaxial connector sequentially passes through the plane plate, a metal cone and the lower dielectric substrate to jointly form the micro-strip patch antenna; the radio frequency coaxial connector carries out coaxial probe feeding on the micro-strip patch antenna; and a pair of orthogonal polarization degenerate modes which have equal amplitudes and a phase difference of 90 degrees are excited on the conductor patches to form the conformal phased array antenna array plane for radiating right-handed circular polarization electromagnetic waves.
Owner:10TH RES INST OF CETC

Sliding-mode variable structure control method of single phase grid-connected inverter based on multi-resonant sliding mode surface

The invention discloses a sliding-mode variable structure control method of a single phase grid-connected inverter based on a multi-resonant sliding mode surface. The method comprises the steps of: firstly, building a linear sliding mode surface according to detected current i1 of an inverter side filter inductor of the single phase grid-connected inverter, the voltage vc of a filter capacitor, the current i2 of a network side filter inductor, and the target output current i1* of a grid-connected inverter system, the target voltage vC* of the filter capacitor and the grid-connected target current i2*; adding a resonant item into the linear sliding mode surface so as to obtain the multi-resonant sliding mode surface; designing a sliding-mode variable structure controller by the multi-resonant sliding mode surface, leading a linear state feedback controller to an original nonlinear controller to obtain a final control quantity modulation wave d(s), and finally comparing the modulation wave with a carrier wave to generate a driving signal for driving a switch tube to act. According to the control method disclosed by the invention, the robustness and dynamic response ability of the grid-connected inverter system are improved; the tracking accuracy of grid-connected current is also improved; the harmonic content is removed, and the control method is simple and easy to achieve.
Owner:XI AN JIAOTONG UNIV

Online detection method for solidified bottom end position in bloom continuous casting production process

ActiveCN104493121AHigh precisionAccurate thickness-pressure-reduction relationshipRelational databaseTracking model
The invention belongs to the technical field of bloom production and particularly relates to an online detection method for a solidified bottom end position in the bloom continuous casting production process. The online detection method comprises the following steps: first, measuring solidified bloom shell thicknesses by a nail shooting process, establishing a thermal tracking model, calculating to obtain the pre-measurement results of the bloom shell thicknesses at different solid ratios, at different casting temperatures and at different drawing rates in the strand direction, then measuring the rolling reductions of different bloom shell thickness parts when the blooms are rolled by withdrawal and straightening units, establishing a relation curve of bloom shell thickness, pressure and rolling reduction, and establishing a corresponding relational database of steel type, bloom shell thickness, pressure and rolling reduction; in the actual production process, measuring on line when periodical rolling is carried out by each withdrawal and straightening unit, comparing the corresponding relational data of steel type, pressure and rolling reduction with the database, judging the actual bloom shell thickness of the current continuously cast bloom and determining the solidified bottom end position. The method is tightly combined with bloom continuous casting production reality, detection equipment does not need to be increased, and the online detection process of the solidified bottom end is finished by the existing withdrawal and straightening unit.
Owner:NORTHEASTERN UNIV

Distribution transformer coil material nondestructive testing method

The invention discloses a distribution transformer coil material nondestructive testing method, the detection method comprises a distribution transformer fuel tank volume discrimination method and a resistance temperature coefficient method. According to the invention, by a fuel tank volume for measuring distribution transform, compared with data in a routine fuel tank volume table, if the fuel tank volume for testing distribution transform exceeds the routine distribution transform by 30%, and the fuel tank is a suspected aluminum core transformer. The resistance temperature coefficient method is characterized in that a resistance temperature coefficient K value is measured and calculated to determine the coil material, on the basis of a distribution transform coil temperature model, the invention employs a multi-point linear regression method to inhibit random error generated in a test, and thereby the measure precision of K value can be increased. A multitime test result proves that a principle of the material detection method based on coil resistance temperature coefficient is correct, and the method is feasible. The invention is suitable for the nondestructive test of the distribution transformer material.
Owner:ELECTRIC POWER RES INST STATE GRID JIANGXI ELECTRIC POWER CO +1

Bacterial colony automatic detection method

The invention discloses a bacterial colony automatic detection method, belonging to the fields of biomedicine image processing, environment monitoring and the like. The method comprises the following steps:inputting bacterial colony images; carrying out image gradation processing and pre-processing on the bacterial colony images, and acquiring the processed bacterial colony images; carrying out ideal bacterial colony image reconstruction according to the processed bacterial colony images; and post-processing the ideal bacterial colony images, and detecting the bacterial colonies, wherein, when the bacterial colony images are acquired at different conditions, the input bacterial colony images are converted into the ideal bacterial colony images by eliminating illumination deviation, and the ideal bacterial colony images are subject to post-processing, thus the bacterial colonies are detected. The bacterial colony automatic detection method does not rely on a specific image acquiring device, bacterial colony types and external environmental conditions, and the image segmentation and bacterial colony extracting processes also do not rely on experimental threshold value or prior knowledge, Thus the bacterial colony automatic detection method has the advantages that the universality is high, the application range is enlarged; and large-scale experiments prove the accuracy and precision of the bacterial colony automatic detection method.
Owner:QIQIHAR GREEN ENVIRONMENTAL PROTECTION TECHDEV

Method for solving grinding track of front tool face of arc edge of arc head end mill

ActiveCN109702567AReduce widthAchieve smooth connectionMilling cuttersMilling cutterGrinding wheel
The invention provides a method for solving a grinding track of a front tool face of an arc edge of an arc head end mill. The method includes the following steps: firstly, the process characteristicsof the front tool face of the arc edge are defined, and include an instantaneous front tool face of the arc edge in the grinding plane, and a track curve of knifing grinding points (simultaneously constrains the width and front angle of the arc front tool face); secondly, a grinding track and attitude of a grinding wheel in the instantaneous front tool face is calculated; and finally, through spatial coordinate transformation, an actual machining track of the grinding wheel is obtained. According to the method for solving the grinding track of the front tool face of the arc edge of the arc head end mill, a grinding method of the front tool face of the arc edge of the integral end mill is studied in a deepgoing way, and a set of arc front tool face grinding algorithm capable of satisfying smooth transition and simultaneously constraining the front angle and the width; and simulation and machining results show that the method can be effectively used in tooling, the accuracy and feasibility of the grinding method are proved, and a theoretical reference for actual production and machining of cutters is provided.
Owner:SOUTHWEST JIAOTONG UNIV

Control method for online dynamically restraining power grid low frequency oscillation and subsynchronous oscillation

InactiveCN105226679AStabilized wind power generation systemFast active and reactive powerFlexible AC transmissionReactive power adjustment/elimination/compensationDigital signal processingPower grid
The invention provides a control method for online dynamically restraining power grid low frequency oscillation and subsynchronous oscillation. Firstly, power grid voltage and current are acquired via a sensor, and after the voltage and the current are converted into signals readable by a digital processor, online real-time quick FFT is carried out via a digital signal processor (DSP); then, an SVG current control strategy is designed, and the SVG outputs accurate reactive power compensation according to a real-time power grid low frequency oscillation component and a subsynchronous oscillation component. On the basis of the original SVG control strategy, control algorithm for online dynamically restraining power grid subsynchronous oscillation is added, positive damping can be effectively provided with a wind farm, and a wind power generation system is stabilized; and compared with the existing restraining strategy, the SVG can output more accurate and quicker active power and reactive power according to the real-time power grid subsynchronous oscillation component, and the subsynchronous oscillation problem in the power grid is solved.
Owner:TBEA SUNOASIS +1

Automatic bacterial colony screening method based on bacterial colony morphological characteristics

InactiveCN105420107AGuaranteed screening accuracyProof of accuracyMicroorganismsScreening methodComputer science
The invention discloses an automatic bacterial colony screening method based on bacterial colony morphological characteristics. The method includes the steps that firstly, a bacterial colony image is input; secondly, a conversion model of a bacterial colony image pixel coordinate system and a world space coordinate system is established; thirdly, the acquired bacterial colony image is preprocessed, and the preprocessed bacterial colony image is acquired; fourthly, the preprocessed bacterial colony image is subjected to binarization processing, a binary bacterial colony image is obtained and is segmented according to the communication principle, and a binary bacterial colony area is obtained after segmentation; fifthly, the morphological characteristics of the binary bacterial colony area are calculated; sixthly, bacterial colonies obtained in the fifth step are screened. According to the method, the bacterial colonies are screened according to the morphological characteristics of the individual bacterial colonies and are compared with a morphological characteristic sample base of excellent bacterial colonies so that the screening accuracy of the bacterial colonies can be guaranteed, universality is high, and meanwhile, bacterial colony screening accuracy and precision of the method are proved through a large number of bacterial colony screening experiments performed on a bacterial colony selector.
Owner:SHANGHAI UNIV

Bearing degradation state identification and predication method based on variation modal decomposition-transfer entropy

InactiveCN109580222AImprove forecast accuracyAvoid blind trial calculationsMachine bearings testingDecompositionTheory based
The invention relates to a bearing degradation state identification and predication method based on variation modal decomposition-transfer entropy, and belongs to the technical field of gear fault analysis. According to the technical scheme, the severity degree of a rotating machinery fault can be effectively reflected through parameters of system nonlinearity and the complexity degree; variationmodal decomposition and a transfer entropy theory based on signal complexity of the nonlinearity kinetic parameters are combined to achieve rolling bearing degradation state identification; and the rolling bearing state evaluation index based on variation modal decomposition-transfer entropy is built, and full-life experimental data of a rolling bearing are predicted through a model. The bearing degradation state identification and predication method provides new and effective means for fault diagnosis, performance degradation state identification and trend prediction of rotating machinery; and the variation modal decomposition-transfer entropy and SVR rolling bearing fault evolutionary trend prediction model is built, the full-life experimental data of the rolling bearing are predicted through the model, and accuracy and effectiveness are improved.
Owner:HEBEI UNIVERSITY OF SCIENCE AND TECHNOLOGY

Camouflage target image segmentation method based on information mining

ActiveCN112750140ASolve the problem of camouflaged target segmentationPerfect segmentation resultsImage enhancementImage analysisScene segmentationFeature extraction
The invention belongs to the technical field of scene segmentation in computer vision, and discloses a camouflage target image segmentation method based on information mining. The PFNet sequentially comprises a multi-layer feature extractor, a positioning module and a focusing module, wherein the multi-layer feature extractor obtains context features of different levels by using a traditional feature extraction network; the positioning module firstly uses RGB feature information to preliminarily determine the position of a camouflage target in an image; and the focusing module is used for mining information and removing interference information on the basis of the RGB feature information and the preliminary position information of the image, and finally determining the boundary of the camouflage target step by step. According to the method, the concept of interference information is introduced into a camouflage target segmentation problem, a new information exploration and interference information removal strategy is developed, and segmentation of a camouflage target image is facilitated. From the perspective of the result, the PFNet segmentation result is very excellent, and the fine degree of the camouflage target boundary is also satisfactory. Meanwhile, the method is wider in applicability.
Owner:DALIAN UNIV OF TECH
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products