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31results about How to "Solve difficult to extract" patented technology
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Molten pool contour image extraction method for realizing closed connected domain
PendingCN111696107ASolve difficult to extractImprove forming qualityImage enhancementImage analysisImage extractionGradation
The invention relates to a molten pool contour image extraction method for realizing a closed connected domain. The molten pool contour image extraction method comprises the following steps: 1, extracting a molten pool image; 2, preprocessing and calculating the molten pool image; 3, calculating based on a gradient graph convenient for matching a guide operator template; 4, performing image merging; and 5, extracting a contour line of the molten pool image. By utilizing the device and the method, the problem that the contour line of the molten pool is difficult to extract as the front end of the molten pool is influenced by arc light due to non-uniform brightness distribution of the front end and the rear end of the molten pool is solved; the problems of unobvious gray scale change and weak gradient of two end parts of the rear end of the molten pool after an image is converted into a grey-scale map due to dark area brightness and non-uniform distribution of the rear end of the moltenpool are solved; the indication effect is achieved on the welding seam forming and the welding quality improvement.
Owner:南京知谱光电科技有限公司
Myancanda image text recognition method based on CRNN
ActiveCN111046946ARealize identificationSolve difficult to extractNeural architecturesNeural learning methodsFeature vectorText recognition
The invention relates to a CRNN-based Myanmao image text recognition method, and belongs to the field of natural language processing. The method comprises the following steps: constructing a trainingset, a test set and evaluation set data of Myanmao text information images; marking text information in the Myanmao image by using a Myanmao Unicode sorting algorithm; adopting a deep convolutional neural network to extract a corresponding feature vector sequence from the input Myanhuang language image; identifying the feature vector sequence obtained in the last step by utilizing BiLSTM in a recurrent neural network RNN, and obtaining context information of the sequence, thereby obtaining probability distribution of each column of features; and calculating all label sequence probabilities byutilizing CTC, and selecting a label sequence corresponding to the maximum label sequence probability as a final prediction result of the Myanmao language of each frame in the image based on the dictionary and the mode of searching the candidate target. According to the method, the recognition of the Myanmai image text is realized, the recognition accuracy is high, and the effect is good.
Owner:小语智能信息科技(云南)有限公司
Method for extracting residual abamectin
ActiveCN101838300AEasy to operateLow costSugar derivativesSugar derivatives preparationSolventChemistry
The invention relates to a method for extracting residual abamectin from crystallization mother liquor, which comprises the steps of removing ester impurities and further separating each component by using a C18 column or a silica gel column. The separation and extraction process is simple; the selected and used solvent is cheap, safe and environment-friendly, and meets the industrialized requirement; and the effective ingredient B1 has high yield and reaches about 90 percent.
Owner:浙江拜克生物科技有限公司
Crack detection method based on remote sensing image
ActiveCN110084302AReduce data channelSpeed up post-processingCharacter and pattern recognitionNeural architecturesGray level imageCorrosion
The invention discloses a crack detection method based on a remote sensing image. The method comprises the following steps: firstly, carrying out gray processing on a high-resolution unmanned aerial vehicle aerial image; performing feature highlighting on the gray level image by using a black cap algorithm, performing thresholding on a black cap operation result, performing expansion on the binaryimage, performing corrosion operation on the binary image, and finally performing machine learning training after extracting a connected domain of the binary image so as to complete crack detection.The crack detection method is suitable for crack detection operation of the unmanned aerial vehicle remote sensing image under the complex background, a large number of experiments prove that the crack information of the unmanned aerial vehicle aerial remote sensing image can be rapidly detected, calculation is easy, and the crack detection method can be suitable for complex scenes.
Owner:西安因诺航空科技有限公司
Corneal reflection and optical coding-based human face living body detecting method and system
ActiveCN108647650ASolve difficult to extractEasy extractionAcquiring/recognising eyesSpoof detectionImaging processingPassword
The invention discloses a corneal reflection and optical coding-based human face living body detecting method and system, belongs to the security technical field of resisting human face recognition attacks and particularly relates to the processing and the analysis of corneal images. The method comprises the steps of representing each piece of binary password information by using brightness or darkness of light through an optical coding mode and reflecting the brightness and darkness change by a cornea; and obtaining corneal reflection information by extracting the brightness and darkness information of a corneal image and realizing the human face living body detection through information comparison. The method disclosed by the invention has the advantages that only the brightness and darkness information of the corneal image needs to be extracted and the problem that the corneal reflection information is difficult to extract can be solved; the method has very low requirements on camera pixels and later image processing and analysis, so that the method is easy to realize, economical and effective; and the method has very high security and common attacks of face recognition can be resisted.
Owner:PEKING UNIV
Process for preparing extract containing hypericin and flavon compounds
InactiveCN1392128ASolve solubilitySolve difficult to extractQuinone separation/purificationHypericinOrganic solvent
The present invention relates to the preparation process of extract containing hypericin and flavone compounds. The technological process includes extraction with polar organic solvent, biphase extraction and acid precipitation and through the simple process the extract containing total effective component not less than 50%, hypericin of 2-4 % and general flavone up to 50-90 % may be obtained. Inthe technological process, composite stabilizer is used, so that the extracted product may be maintained stably.
Owner:SUN YAT SEN UNIV
Traffic flow prediction method based on dynamic graph neural network
PendingCN114120652ASolve the problem that complex spatio-temporal features cannot be extractedSolve difficult to extractDetection of traffic movementNeural architecturesEngineeringGraph neural networks
The invention relates to the field of traffic planning, in particular to a traffic flow prediction method based on a dynamic graph. The method comprises the steps of setting a plurality of monitoring sensors for key nodes of a traffic road, monitoring and collecting traffic flow, road occupancy and speed data of the road for a long time, constructing a traffic flow prediction model based on a dynamic graph neural network, inputting historical traffic flow data, setting related hyper-parameters in the model, and predicting the traffic flow. The method comprises the steps of preprocessing input data, designing a dynamic graph updating algorithm, applying the algorithm to a dynamic graph neural network module, extracting spatio-temporal features by adopting the dynamic graph neural network module and a ConvLSTM module, outputting a prediction result after the features are fused, and finally training a whole model for traffic flow prediction. According to the method, the fitting degree of the model prediction output and the actual flow condition is better, the prediction output stability is better, no large fluctuation occurs, and the traffic flow prediction result is more reliable and has more advantages.
Owner:CHONGQING UNIV OF POSTS & TELECOMM
Multi-stage recovery treatment method and device for waste shiitake mushroom sticks
ActiveCN110790847AEffective eradicationEnsure hygiene and safetySolid solvent extractionCentrifugationProcess engineering
The invention discloses a multi-stage recovery treatment method and device for waste shiitake mushroom sticks. The method comprises the following steps: sterilizing, cleaning, drying and crushing thewaste shiitake mushroom sticks; performing fermentation and centrifugation to obtain a primary residual material and a concentrated solution; extracting the primary residual material, and then performing filtration through an ultrafiltration membrane to obtain a treatment solution; carrying out alcohol precipitation on the concentrated solution and the treatment solution, centrifuging to obtain aprecipitate, and carrying out spray drying to obtain lentinan. The device comprises sterilization equipment, cleaning / drying equipment, fermentation equipment, centrifugal equipment, extraction equipment, a reaction kettle, ultrafiltration equipment and spray drying equipment. The waste shiitake mushroom sticks are subjected to polysaccharide extraction in a mode combining alcohol extraction afterfermentation, the problem that the shiitake mushroom sticks are complex in component and difficult to extract is effectively solved, and the high and stable extraction rate can be effectively guaranteed.
Owner:SHANXI AGRI UNIV
Oil exploitation method based on nano motor and application of nano motor
InactiveCN110005395ASolve difficult to extractEnhanced overall recoveryFluid removalCatalytic metalConcentration gradient
The invention relates to the technical field of petroleum exploitation, in particular to an oil exploitation method based on a nano motor and application of the nano motor. The oil exploitation methodbased on the nano motor comprises the steps that step 1, the nano motor is taken, and the nano motor is mixed with deionized water to prepare nano motor suspension; step 2, a hydrogen peroxide solution is taken and mixed with the nano motor suspension and then injected into the stratum of an oil well; step 3, a catalytic metal layer evaporated on the surface of the nano motor catalyzes hydrogen peroxide to be decomposed to generate an oxygen concentration gradient to enable the nano motor to move; step 4, when the nano motor moves in the stratum, hydrophobic oleophilic groups modified on thesurface of the nano motor are combined with oil drops, and the nano motor with the oil drops moves in stratum liquid; and step 5, the nano motor with the oil drops is extracted from the oil well, andthen centrifugal separation is carried out to separate the oil drops from the nano motor and the oil drops are extracted. The oil exploitation method can effectively improve the recovery ratio of an oil field.
Owner:HARBIN INST OF TECH
Extraction method of wheat germ peptide
ActiveCN109576331AFully hydrolyzedSolve difficult to extractPeptide preparation methodsFermentationNeutral proteinasePROTEASE M
The invention relates to the technical field of extraction of natural peptide in plants and in particular discloses an extraction method of wheat germ peptide. The extraction method of the wheat germpeptide comprises the following technological steps: a, adding purified water into wheat germ meal and stewing; b, carrying out enzymolysis to obtain desugared germ meal; c, adding sodium citrate; meanwhile, adding neutral proteinase, cellulose proteinase and flavored proteinase; carrying out the enzymolysis for 2.0 to 3.0 h; d, carrying out high-temperature enzyme inactivation; e, separating andpurifying. The extraction method has the advantages that the price of the germ meal as a raw material is low; an extraction process is simple and convenient and no organic solvent is added; the purityof active molecules of the obtained wheat germ peptide is high and the yield of the peptide is high, so that the extraction method has relatively high economic benefits.
Owner:HEBEI ZIFENG BIOTECH
Safety helmet wearing inspection method based on YOLOv3 algorithm
ActiveCN113139437ASolve difficult to extractSolve the accuracy problemCharacter and pattern recognitionNeural architecturesFeature extractionAlgorithm
The invention discloses a safety helmet wearing inspection method based on a YOLOv3 algorithm, and the method comprises the steps of carrying out the expansion of the detection scale of a YOLOv3 model, obtaining a feature graph with a larger size, and solving a problem that the detection precision is insufficient or the feature extraction is difficult when the features of a safety helmet are smaller. Meanwhile, a loss function in the YOLOv3 is improved, and the loss function is established based on an IoU value logarithmic loss between a scale detection frame and a real target frame, so that the problem that the loss function in a traditional YOLOv3 model is sensitive to scale information is avoided, and the efficiency and stability of iterative calculation of the YOLOv3 model are greatly improved; finally, the detection and extraction efficiency of the safety helmet features is higher, and the precision is higher.
Owner:CHENGDU AIRCRAFT INDUSTRY GROUP
Detection method for low-frequency non-stationary signals
PendingCN113484607ASolve difficult to extractResolve interferenceFrequency analysisHigh level techniquesPhase shiftedAlgorithm
The invention relates to a detection method for low-frequency non-stationary signals. The detection method comprises the following steps: S100, determining a center frequency; S200, determining the bandwidth of a main lobe; S300, determining a sidelobe bandwidth; S400, adjusting a phase shift coefficient; S500, transferring a function; S600, determining amplitude / phase frequency characteristics; S700, if the phase requirement is met, entering the step S800, otherwise, returning to the step S400; and S800, ending. The method has the beneficial effects that the problems that inter-harmonics in a target frequency band are difficult to extract and interference is difficult to eliminate can be effectively solved, the 75-125Hz low-frequency inter-harmonics are well extracted through simulation and experimental verification of the detection algorithm, the extraction precision can exceed 50%, the extraction precision of second harmonics is up to more than 90%, the interference signal can be attenuated to below 1% (the amplitude can be suppressed to be close to 0), and the correctness and effectiveness of the detection algorithm are fully verified.
Owner:ELECTRIC POWER RES INST OF STATE GRID ANHUI ELECTRIC POWER
Target fluctuation characteristic characterization method based on coherent cumulative gain
ActiveCN111257844ASolve difficult to extractLower requirementWave based measurement systemsStatistical analysisRadar
The invention discloses a target fluctuation characteristic characterization method based on coherent accumulation gain. The method comprises steps that step 1, radar receives echo data and records the echo data as X, the X is a J*K-dimensional complex matrix, and J and K are the number of distance units and the number of pulses of the radar echo data respectively; 2, partitioning of the radar echo data X on a pulse dimension is performed according to the length N, 3, a distance unit corresponding to a target to be analyzed on the lth pulse block is recorded as D1, and the rest steps. Comparedwith a method based on statistical distribution modeling in the prior art, the method is advantaged in that a problem that fluctuation characteristics of the weak target are difficult to extract is solved, the fluctuation characteristics of the weak target are represented, and thereby statistical analysis of the weak target can be conducted.
Owner:中国电波传播研究所
A P-Wave Extraction Method Based on Orthogonal Projection and Independent Component Analysis
ActiveCN107874755BSolve difficult to extractGood serviceDiagnostic recording/measuringSensorsEcg signalT wave
The invention discloses a P-wave extracting method based on orthogonal projection and independent component analysis. The P-wave extracting method is used for analyzing and processing electrocardiograph signals, and includes the steps that collected electrocardiograph signals are subjected to signal preprocessing; a QRS wave group template is obtained with the time domain average method; QRS wavegroup ingredients are filtered out with the space orthogonal projection method through the wave group template, and therefore the signal to noise ratio of P waves and T waves in residual ingredients is increased; the P waves and T waves are separated; P waves after separation serve as reference signals, and the P waves are extracted from original aliasing signals again with the semi-blind method.
Owner:GUANGDONG UNIV OF TECH
A multi-stage recycling method and device for waste mushroom sticks
ActiveCN110790847BEffective eradicationEnsure hygiene and safetySolid solvent extractionUltrafiltrationProcess engineering
The invention discloses a method and device for multi-stage recovery and treatment of discarded mushroom sticks; the method comprises: pretreatment of sterilizing, cleaning, drying and pulverizing waste mushroom sticks; fermenting and centrifuging to obtain primary residue and concentrated liquid ; The primary residual material is leached and filtered through an ultrafiltration membrane to obtain a treatment solution; the concentrated solution and the treatment solution are alcohol-analyzed and centrifuged to obtain a precipitate that is spray-dried to obtain lentinan; the device includes sterilization equipment cleaning / drying equipment Fermentation equipment, centrifuge equipment, extraction equipment, reaction kettle, ultrafiltration equipment, spray drying equipment; the present invention adopts the combined method of alcohol extraction after fermentation to extract polysaccharides from discarded mushroom sticks, effectively solving the problem of complex components of mushroom sticks. For difficult-to-extract problems, it can effectively guarantee a high and stable extraction rate.
Owner:SHANXI AGRI UNIV
A Characterization Method of Target Fluctuation Characteristics Based on Coherent Cumulative Gain
ActiveCN111257844BSolve difficult to extractLower requirementWave based measurement systemsRadarStatistical analysis
The invention discloses a method for characterization of target fluctuation characteristics based on coherent cumulative gain, including the following steps: Step 1, the echo data received by the radar is denoted as X, where X is a J×K-dimensional complex matrix, and J and K are respectively The number of distance units and the number of pulses of the radar echo data; step 2, divide the radar echo data X into blocks according to the length N in the pulse dimension, and step 3, divide the corresponding distance of the target to be analyzed on the lth pulse block The unit is marked as D l , and the remaining steps. Compared with the existing method based on statistical distribution modeling, the method of the invention solves the problem that the fluctuation characteristics of the weak target are difficult to extract, and enables the fluctuation characteristics of the weak target to be characterized, so that the weak target can be statistically analyzed.
Owner:中国电波传播研究所
P-wave extracting method based on orthogonal projection and independent component analysis
ActiveCN107874755ASolve difficult to extractGood serviceDiagnostic recording/measuringSensorsSignal-to-noise ratio (imaging)Electrocardiogram QRS complex
The invention discloses a P-wave extracting method based on orthogonal projection and independent component analysis. The P-wave extracting method is used for analyzing and processing electrocardiograph signals, and includes the steps that collected electrocardiograph signals are subjected to signal preprocessing; a QRS wave group template is obtained with the time domain average method; QRS wavegroup ingredients are filtered out with the space orthogonal projection method through the wave group template, and therefore the signal to noise ratio of P waves and T waves in residual ingredients is increased; the P waves and T waves are separated; P waves after separation serve as reference signals, and the P waves are extracted from original aliasing signals again with the semi-blind method.
Owner:GUANGDONG UNIV OF TECH
A face detection method and system based on corneal reflection and optical encoding
ActiveCN108647650BSolve difficult to extractEasy extractionAcquiring/recognising eyesSpoof detectionHuman bodyImaging processing
The invention discloses a face detection method and system based on corneal reflection and optical encoding, which belongs to the field of security technology against face recognition attacks, and specifically relates to the processing and analysis of corneal images. Through optical coding, each bit of binary code information is represented by light brightness or darkness, and the cornea reflects the brightness and darkness changes; the cornea reflection information is obtained by extracting the brightness and darkness information of the cornea image, and then the human body is realized through information comparison. Face liveness detection. The method of the invention only needs to extract the bright and dark information of the corneal image, which can solve the problem that the corneal reflection information is difficult to extract, and has very low requirements for camera pixels and image processing and analysis in the later stage, and the method is easy to implement, and is economical and effective; Security against general attacks on face recognition.
Owner:PEKING UNIV
Registration method of infrared and visible light images of electrical equipment based on surf operator
ActiveCN106257535BSolve matching problemsSolve difficult to extractImage enhancementImage analysisEmissivityElectrical devices
Owner:HOHAI UNIV CHANGZHOU +1
Burmese Image Text Recognition Method Based on CRNN
ActiveCN111046946BRealize identificationSolve difficult to extractNeural architecturesNeural learning methodsFeature vectorText recognition
The invention relates to a Burmese image text recognition method based on CRNN, and belongs to the field of natural language processing. The invention includes the steps of: constructing training set, test set and evaluation set data of Burmese text information images; using Burmese Unicode sorting algorithm to mark the text information in Burmese images; Extract the corresponding feature vector sequence; use BiLSTM in the cyclic neural network RNN to identify the feature vector sequence obtained in the previous step, obtain the context information of the sequence, and obtain the probability distribution of each column feature; use CTC to calculate the probability of all label sequences, Based on the dictionary and the pattern of finding candidate targets, the tag sequence corresponding to the maximum tag sequence probability is selected as the final prediction result of Burmese for each frame in the image. The invention realizes the recognition of Burmese image text, and has high recognition accuracy and good effect.
Owner:小语智能信息科技(云南)有限公司
Information query method, device and equipment and computer readable storage medium
PendingCN114780534ASolve difficult to extractImprove readabilitySpecial data processing applicationsDatabase indexingTheoretical computer scienceTree (data structure)
The embodiment of the invention discloses an information query method. The method comprises the steps of obtaining a to-be-analyzed programming statement; wherein the to-be-analyzed programming statement is generated by adopting a target programming language; analyzing the to-be-analyzed programming statement to determine a first syntax structure tree; wherein each node in the first grammar structure tree represents a grammar structure in the grammar structure tree; determining a basic data structure based on a programming statement corresponding to the target programming language; based on the basic data structure, reconstructing the first grammar structure tree to obtain a second grammar structure tree; wherein the second grammar structure tree comprises a data structure in the first grammar structure tree; and receiving a statement query request, and performing statement query from the second syntax tree based on the query request. The embodiment of the invention further discloses an information query device and equipment and a computer readable storage medium.
Owner:SANGFOR TECH INC
Method for extracting residual abamectin
ActiveCN101838300BSolve difficult to extractEffective separation and extractionSugar derivativesSugar derivatives preparationAbamectinSilica gel
The invention relates to a method for extracting residual abamectin from crystallization mother liquor, which comprises the steps of removing ester impurities and further separating each component by using a C18 column or a silica gel column. The separation and extraction process is simple; the selected and used solvent is cheap, safe and environment-friendly, and meets the industrialized requirement; and the effective ingredient B1 has high yield and reaches about 90 percent.
Owner:浙江拜克生物科技有限公司
A kind of extraction method of wheat germ peptide
ActiveCN109576331BFully hydrolyzedSolve difficult to extractPeptide preparation methodsFermentationWheat germOrganosolv
The invention relates to the technical field of extraction of natural peptide in plants and in particular discloses an extraction method of wheat germ peptide. The extraction method of the wheat germpeptide comprises the following technological steps: a, adding purified water into wheat germ meal and stewing; b, carrying out enzymolysis to obtain desugared germ meal; c, adding sodium citrate; meanwhile, adding neutral proteinase, cellulose proteinase and flavored proteinase; carrying out the enzymolysis for 2.0 to 3.0 h; d, carrying out high-temperature enzyme inactivation; e, separating andpurifying. The extraction method has the advantages that the price of the germ meal as a raw material is low; an extraction process is simple and convenient and no organic solvent is added; the purityof active molecules of the obtained wheat germ peptide is high and the yield of the peptide is high, so that the extraction method has relatively high economic benefits.
Owner:HEBEI ZIFENG BIOTECH
Sketch-based interactive iteration type virtual shoeprint image generation method
PendingCN112991495ARealize generationSolve difficult to extractImage enhancementImage analysisAlgorithmNetwork architecture
The invention provides a sketch-based interactive iteration type virtual shoeprint image generation method. The method comprises the following steps: constructing an overall network architecture; wherein the overall network framework comprises a hole residual multi-level fusion full-convolution shoeprint image generation network, a full-convolution deep and shallow feature fusion shoeprint image discrimination network and a VGG19 pre-trained on an Image Net; performing offline model training on the constructed overall network; and generating an online virtual shoeprint image based on the offline trained model. According to the method, the shoeprint sketch is used to realize the generation of the shoeprint image, and the problems that the background is complex and the field shoeprint image is difficult to extract, which cannot be solved by the existing traditional image restoration algorithm and deep learning, are solved. The criminal investigation personnel are assisted to utilize crime scene information as much as possible to carry out case detection, and the case solving efficiency is improved.
Owner:DALIAN MARITIME UNIVERSITY
An Attention Network-Based Day/Night Image Classification and Object Detection Method
ActiveCN112434723BEasy to detectClear mission goalsCharacter and pattern recognitionNeural architecturesData setMonitoring system
Owner:ZHEJIANG LAB
P wave extracting method based on orthogonal projection and independent component analysis
InactiveCN111084620ASolve difficult to extractGood serviceDiagnostic recording/measuringSensorsEcg signalTime domain
The invention discloses a P wave extracting method based on orthogonal projection and independent component analysis. The P wave extracting method is used for performing analysis and processing on electrocardiosignals, and comprises the steps that signal preprocessing is performed on collected electrocardiosignals; a QRS wave complex mould is obtained through a time domain average method; a QRS wave complex component is filtered out by utilizing the wave complex mould and a spatial orthogonal projection method, and thereby, the signal to noise ratio of a P wave to a T wave in the remaining component is increased; the P wave and the T wave are separated; and then, the P wave is extracted from an original aliasing signal again by taking the P wave obtained after separation as a reference signal by employing a semi-blind method.
Owner:杨晨曦
A method for detecting the movement position and posture of the end of the hybrid automobile electrophoretic coating conveying mechanism
ActiveCN107423766BSolve difficult to extractGuaranteed stabilityImage enhancementImage analysisSpatial mappingEngineering
The invention discloses a method for detecting the movement position and posture of the terminal end of a hybrid automobile electrophoretic coating conveying mechanism. First, the image information of the hybrid automobile electrophoretic coating conveying mechanism is obtained in real time through a binocular camera. Then weighted filtering is performed based on the spatial geometric distance of pixels and the similarity of pixels, and non-maximum suppression and hysteresis thresholding are used to suppress error edges, and the method of cluster analysis is used to extract the terminal connections of complex mechanisms in the parameter space after space mapping The feature points of the rod. Design a moving mask along the main direction of the feature points, describe the feature points in the mask area based on the discrete Gaussian-Hermit moments, and further calculate the similarity criterion between feature vectors based on the Euclidean distance, and filter the feature point pairs to obtain high-precision The characteristic point pairs at the end of the hybrid automobile electrophoretic coating conveying mechanism. Finally, based on the built binocular vision model and the extracted feature point pairs, the high-precision three-dimensional pose parameters of the end of the mechanism are obtained after coordinate transformation.
Owner:JIANGSU UNIV
Peanut automatic carefully chosen based gynophore removal adaptive matching control system and method
ActiveCN110226767AGuaranteed accuracyReduce the handle rateMetal working apparatusFood treatmentInformatizationEngineering
The invention discloses a peanut automatic carefully chosen based gynophore removal adaptive matching control system and method. The control system includes a main controller, an elevator motor, an elevator motor driver, a fan, a fan driver, a vibrating screen motor, a vibrating screen motor driver, a disc cutter set motor and a disc cutter set motor driver. Data can be collected by a first stresssensor, a second stress sensor and a dry humidity sensor, the main controller can perform analysis and processing based on the working state of current each motor, so that the adaptive adjusting andmatching of wind speed, cutting handle speed and screen vibration frequencies can be realized, the accuracy of cutting gynophore and the reliable separating of pods and debris can be guaranteed, the quality of peanut pods can be effectively enhanced, the problems of hard extraction and unable feedback of fruits, wind power, speed and other operation data can be solved, and the intelligence and informatization of efficient and accurate handle cutting and pod and debris separating functions can be realized.
Owner:QINGDAO AGRI UNIV
Peanut Automatic Picking Ovary Stalk Removal Adaptive Matching Control System and Its Method
ActiveCN110226767BGuaranteed accuracyReduce the handle rateMetal working apparatusFood treatmentAgricultural engineeringAdaptive matching
The invention discloses an adaptive matching control system and method for ovary handle removal based on peanut automatic selection. The control system includes a main controller, an elevator motor and an elevator motor driver, a fan and a fan driver, and a vibrating screen motor. And the vibrating screen motor driver, the disc cutter group motor and the disc cutter group motor driver; by collecting the data collected by the first stress sensor, the second stress sensor and the dry humidity sensor, and based on the current state of each motor through the main controller Analyze and process the working status of the peanut pods to realize adaptive adjustment and matching of wind speed, shank cutting speed, and sieve vibration frequency, etc., ensuring the accuracy of ovary stalk cutting and the reliable separation of pods and sundries, effectively improving the quality of peanut pods and solving the problem. It solves the problem of difficult extraction and feedback of operating data such as fruit, wind force, and speed, and realizes the intelligentization and informationization of efficient and accurate cutting of handles and separation of pods and sundries.
Owner:QINGDAO AGRI UNIV
A fault location method for HVDC transmission lines
ActiveCN106019076BStrong complementaritySolve difficult to extractFault location by conductor typesCable fault locationEngineering
The invention discloses a fault distance detecting method for a high-voltage DC transmission line. The method comprises a step 1 of acquiring the voltage positive electrode data and negative electrode data of both ends of a faulted line; a step 2 of filtering the acquired voltage positive electrode data and negative electrode data; a step 3 of decoupling the filtered data to obtain line mode voltage data; a step 4 of determining the time t1 and the time t2 when an initial travelling wave reaches both ends respectively; a step 5 of computing a fault distance coarse value d; a step 6 of computing a frequency band dk corresponding to a range from 0.9d to 1.1d; a step 7 of extracting an inherent frequency principal component fk from the frequency band dk; and a step 8 of computing a fault distance accurate value d1 by using the inherent frequency principal component fk extracted in the step 7. The fault distance detecting method solves a problem that it is difficult for a conventional inherent frequency fault distance detecting method to extract the inherent frequency because of mode aliasing, and increase fault distance detecting accuracy.
Owner:XIAN UNIV OF TECH
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