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36results about How to "Not affected by accuracy" patented technology
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Fault location method based on single-terminal location
ActiveCN102253315AAdaptableImprove reliabilityFault locationInformation technology support systemTransmission lineLine structure
The invention provides a fault location method based on single-terminal location. The method is characterized by using a transmission line travelling wave fault location device to measure the power frequency quantity of a home terminal bus of a transmission line when short circuit happens to the transmission line, determining the fault point range by an impedance method and estimating the transition resistance; then analyzing the transient voltage / current travelling waves through wavelet transform and adopting a single-terminal travelling wave method combined with the length of line to directly compute the positions of the fault points if the faults are judged to be common short circuit faults; and adopting a transmission line single-terminal fault location method combining the impedance method and the travelling wave method to compute the positions of the fault points if the faults are judged to be special short circuit faults. The method has the following beneficial effects: the accuracy of fault location is ensured by utilizing the single-terminal travelling wave method, can be within 500m and is not affected by such factors as the length of line and the like; and the method can adapt to fault location under the condition of different fault types and is basically not affected by such factors as the transition resistance, the line structure, the system operation mode and the like.
Owner:CHINA EPRI SCIENCE & TECHNOLOGY CO LTD +2
Groove wheel turnover device with auxiliary positioning function
The invention relates to a groove wheel turnover device with an auxiliary positioning function. The groove wheel turnover device comprises a box body, a transmission mechanism driving a workpiece to turn over and an auxiliary positioning mechanism; the transmission mechanism is an external gearing groove wheel mechanism, and the mechanism comprises an outer groove wheel with four pull grooves and a pull disk with two pull pins; and the auxiliary positioning mechanism is a direct driving push rod cylindrical cam mechanism, the cam mechanism comprises a cylindrical cam and a driven body, the cylindrical cam and the pull disk are arranged coaxially, the peripheral face of the cylindrical cam is provided with a curved concave groove, the driven body is driven by the cylindrical cam to conduct reciprocating motion in the axial direction of the cylindrical cam, the driven body can be driven to conduct auxiliary positioning of the groove wheel at a suitable position by the synchronous rotation of the cylindrical cam and the pull disk rotate, and the groove wheel turnover device has the beneficial effects that the positioning precision is high, and the positioning is reliable.
Owner:GUANGZHOU UNIVERSITY
Airborne photoelectric system target motion vector estimation method based on aerial photography measurement
PendingCN110033480ANot affected by accuracyImage enhancementImage analysisEstimation methodsLinear motion
The invention discloses an airborne photoelectric system target motion vector estimation method based on aerial photography measurement. The method is based on linear motion compensation and target tracking functions of an airborne photoelectric system, and comprises: using an aerial photography airborne photoelectric system oblique photogrammetry principle, and obtaining a motion vector of a ground target in an image space coordinate system in real time by performing automatic target tracking under forward motion compensation on the ground moving target; and then by establishing a corresponding relation between the image space coordinate system and the ground photogrammetry coordinate system, according to the motion vector of the target in the image space coordinate system and the azimuthangle of the aiming line of the airborne photoelectric system, solving the motion vector of the target in the ground northeast coordinate system, including the motion rate and direction. The airbornephotoelectric system target motion vector estimation method based on aerial photography measurement does not depend on real-time positioning of the target, and has the characteristics of high precision, high calculation speed and the like.
Owner:西安应用光学研究所
Auto-calibration platform orienting modular joint toque sensor
ActiveCN108709684AHigh precisionIncreased amount of data collected for self-calibrationForce/torque/work measurement apparatus calibration/testingDrive shaftCoupling
The invention provides an auto-calibration platform orienting a modular joint toque sensor, belongs to the field of joint torque sensor calibration, and solves the problem that the manual torque loading method has less data acquisition and cannot perform dynamic test and the problem that the accuracy of the input torque value is low through the motor stalling input torque. A brake, a primary coupler, a torque checking sensor, a secondary coupler and a cylindrical closed box are arranged on a base in turn. A transmission shaft rotates to drive the brake to rotate through the secondary coupler,a torque checking sensor connecting shaft, the torque checking sensor, a hollow slip ring connecting shaft and the primary coupler. The brake can provide the constant torque load. Multiple sets of input instructions are given to the brake, the torque size measured by the torque checking sensor is acquired and the value is assigned to the torque sensor of the modular joint so that auto-calibrationand dynamic calibration can be realized. The auto-calibration platform is mainly used for calibration orienting the modular joint toque sensor.
Owner:HARBIN INST OF TECH
Wind energy indirect prediction method suitable for multivariable input of wind power plant
The invention discloses a wind energy indirect prediction method suitable for multivariable input of a wind power plant. The method comprises the steps of 1) predicting a wind speed; 2) predicting an average trend component by adopting a polynomial fitting method and forecasting a random component by adopting a frequency reduction prediction method; 3) integrating forecasting results of two independent components, namely, the average trend component and the random component to obtain a wind speed prediction value; and 4) making a historical wind energy and wind speed data distribution graph, performing polynomial fitting, generating a power curve, and calculating a wind energy prediction value according to the wind speed prediction value by utilizing the power curve so as to realize wind energy indirect prediction. The wind power plant with relatively high wind energy fluctuation also can be accurately predicted without depending on the influence on wind power plant modeling. In addition, the prediction method is a data-driven and adaptive method, and a prediction result of the prediction method does not depend on priori knowledge of a user.
Owner:SOUTH CHINA UNIV OF TECH
Wind power prediction method based on morphological filter and similar section search algorithm
InactiveCN106485354AThe prediction method is clearStrong targetingForecastingLeast squares support vector machineMorphological filter
The invention discloses a wind power prediction method based on a morphological filter and a similar section search algorithm, comprising the following steps: (1) designing a high-frequency filter; (2) for an average trend component m(t) which is a low-frequency component, replacing global prediction with a local prediction method, searching for similar sections based on Euclidean distance, and using the similar sections to train a least squares support vector machine model so as to perform prediction; (3) using a local prediction method (namely, according to certain principles) to select part of data from historical data for modeling and prediction, and adopting a similar section search algorithm (namely, a 'secondary similarity' algorithm); and (4) synthesizing the prediction results of two independent components to get a final result of wind power prediction. The method has the advantages of clear physical significance of wind plant prediction power prediction, stable prediction result, and high prediction precision.
Owner:SOUTH CHINA UNIV OF TECH
Biological tissue detection device based on space deviation Raman spectrum technology
ActiveCN108489962ASolve the defect of low signalAvoid defectsRaman scatteringCombined useEngineering
The invention belongs to the field of medical detection, and particularly relates to a portable biological tissue detection device based on a space deviation Raman spectrum technology. The biologicaltissue detection device comprises a computer, a detection controller, a laser, a spectrometer, a three-freedom-degree mechanical arm, an SORS detection head, a detection platform and a sealed sample chamber. An SORS technology is used; a sample to be tested is sealed; during the storage in dark places, equipment can be directly used for detecting the Raman spectrum, so that the detection is performed in a targeted way; the SORS technology and an SERS technology are used in a combined way; the defect of lower SORS detection biological sample signals is overcome; meanwhile, the problem that theSERS detection sample can only be used for detecting the expression information is solved; a novel SORS detection head is designed; the detection head has the advantages that the detection sensitivityis high; the control is easy; the displacement control precision is high; the influence by the precision of the step motor is avoided. The novel biological sample storage device is designed; the sample can be stored for a long time; the SORS signal detection can be detected at any time.
Owner:中科凯利仪器设备(苏州)有限公司
Electrocardiosignal baseline drifting removal method based on singular spectrum analysis and variational mode decomposition
ActiveCN110292374AEasy to determineHigh precisionDiagnostic recording/measuringSensorsEcg signalFeature vector
The invention discloses an electrocardiosignal baseline drifting removal method based on singular spectrum analysis and variational mode decomposition. The method includes the steps of conducting embedding and singular value decomposition on original electrocardiosignals to obtain a singular value and left and right feature vectors; dividing decomposed components into three groups by detecting thepeak value of right feature vector power spectrum density and the frequency corresponding to the peak value; reconstructing the two components with variable information to obtain two signals, whereinthe first part is baseline drifting removed electrocardiosignals ECG1 and electrocardiosignals and baseline drifting aliasing signals, and the second part is baseline drifting removed electrocardiosignals EGC2 which are obtained by further decomposing the aliasing signals through variational mode decomposition; finally, adding the electrocardiosignals ECG1 to the electrocardiosignals EGC2 to obtain the final baseline drifting removed electrocardiosignals. The result of removing the baseline drifting interference in the electrocardiosignals through the combination of singular spectrum analysisand variational mode decomposition is accurate and does not depend to the priori knowledge of a user.
Owner:LIAONING NORMAL UNIVERSITY
Pedestrian behavior intention prediction method based on multi-task learning
InactiveCN113191324ANot affected by accuracyConstant time operationCharacter and pattern recognitionNeural architecturesPedestrian behaviorMulti-task learning
The invention provides a pedestrian behavior intention prediction method based on multi-task learning. The method comprises the following steps: a training sample set is constructed; a pedestrian behavior intention prediction model is constructed by using the basic network, the attitude detection network and the intention recognition network, the basic network takes a single frame image in the training sample set as input, image features are extracted, and a feature map is obtained; an encoder part of the attitude detection network comprises a part intensity field sub-network and a part association field sub-network which respectively take the feature map as input and take the joint feature map and the skeleton feature map as output, and a decoder part of the attitude detection network obtains a pedestrian attitude image according to the joint feature map and the skeleton feature map; the intention recognition network takes the feature map as input and takes the pedestrian behavior intention image as output; and the pedestrian behavior intention prediction model is trained, and the pedestrian behavior intention is predicted by using the pedestrian behavior intention prediction model. According to the method, a pedestrian detector does not need to be adopted, each pixel is processed separately, the running time is constant, and the prediction effect meets the requirement.
Owner:TSINGHUA UNIV
Padal-type two-wheel motorcycle
This invention provides a padal-type two-wheel motorcycle which improves productivity by exactly and simply positioning a seat lock device at a rear end part of a storage box. A grab bar 43 is provided at a rear part of a vehicle body frame. The rear end part of the storage box 8 and the seat lock device 47 are fixed on the grab bar 43. Attaching position of the grab bar 43 on the vehicle body frame is adjustable.
Owner:YAMAHA MOTOR CO LTD
Multi-step wind power forecasting method based on singular spectrum analysis and locality sensitive hashing
ActiveCN107895206AThe physical meaning of the components is clearShort forecast timeForecastingEngineeringLocality-sensitive hashing
The invention discloses a multi-step wind power forecasting method based on singular spectrum analysis and locality sensitive hashing. The method is charactierzed by decomposing historical wind powerdata of a wind power plant into two independent components through singular spectrum analysis, the independent components being a low-frequency average trend component for reflecting wind energy overall change trend and a high-frequency fluctuation component for reflecting intermittency and fluctuation of wind respectively; reconstructing the two components in a phase space to obtain an average trend section and a fluctuation component section; and finding similar average trend sections of an average trend section to be forecasted through locality sensitive hashing, and carrying out locality predication. To prevent accumulated errors brought by separate forecast of each component and fixed error brought by forecast of only one component, the forecast input is combination of the similar average trend sections and corresponding fluctuation component sections, and finally, a prediction result of wind power output power is obtained. The method is clear in physical significance in wind power plant generation power prediction, short in prediction time and accurate and stable in prediction results; and the prediction results do not rely on prior knowledge of users.
Owner:SOUTH CHINA UNIV OF TECH
Multichannel liquid sample reagent rapid charging reactor
ActiveCN102879593AThe operation process is simpleExpand the scope ofMaterial analysisMedical unitInjector
The invention discloses a multichannel liquid sample reagent rapid charging reactor which comprises two parts of a sample reagent charging device and a preset first reagent cuvette. A piece of plastic slab in the sample reagent charging device is provided with multipath sample reagent dosing holes with equal spacing. The holes are corresponding to a rotating shaft sample communication groove on a rotating shaft in the sample reagent charging device. A liquid passes through via holes on the rotating shaft and is introduced into end sample conducting holes. Through rotation of the rotating shaft and a centrifugation method, a sample reagent is rapidly introduced into the preset first reagent colorimetric ware through the end sample via holes. The sample and reagent are mixed and react. And results of each projects are determined through apparatuses. By the adoption of the charging reactor, the range of measured projects is increased. Sample application accuracy is not influenced by precision of a sample injector. The operation process is simple. The charging reactor provided by the invention is especially suitable for human emergency biochemical detection, basic medical unit biochemical detection and animal biochemical detection, and can also be applied in other fields such as immunology, microbiology, molecular biology and the like.
Owner:苏州康检云医疗科技有限公司
A Multi-parameter Auxiliary Load Forecasting Method Based on Principal Component Analysis
ActiveCN106600037BEasy to operateSimple thinkingForecastingInformation technology support systemLoad forecastingPrincipal component analysis
The invention discloses a multi-parameter auxiliary load forecasting method based on principal component analysis. Firstly, variables affecting load are gathered; then, a principal component analysis method is used for analyzing the correlation among the variables, and the principal component is found out; then, the principal component and historical load data together serve as model input, the load serves as output, and a model is trained and load forecasting is realized; and finally, the load density, the load natural growth rate and the percentage of concurrence are calculated. The load forecasting physical meaning is clear, the forecasting result is stable, and the forecasting precision is high. Besides, the forecasting method is a data-driven and adaptive method, and the forecasting result does not rely on the prior knowledge of the user.
Owner:SOUTH CHINA UNIV OF TECH
Character sequence scanning method and scanning device
ActiveCN103295005AThe fragments are stitched togetherNot affected by accuracyCharacter and pattern recognitionIdler-wheelComputer engineering
The invention relates to a scanning device and a scanning method for recording character sequence. The method comprises the following steps that 1) when the scanning device moves, an image fragment sequence including idler wheel images and character sequence images is collected; 2) any two image fragments in the collected image fragment sequence are processed, image partition is conducted on the two image fragments, and two idler wheel image fragments and two character sequence image fragments are obtained; 3) the motion displacement of idler wheel displacement signs arranged on idler wheels is calculated according to the two idler wheel image fragments; 4) the motion displacement of the scanning device is calculated according to the mapping relation between the motion displacement of idler wheel displacement signs of the idler wheels and the motion displacement of the scanning device; 5) the two obtained character sequence image fragments are combined according to the motion displacement of the scanning device, and a complete character sequence image is formed. The scanning method is wide in application range, and has a better processing effect on data fragments which include more repeated information and are sparse in information.
Owner:HANVON CORP
Data processing method and device and computer readable storage medium
InactiveCN108320234ASmall scaleImprove efficiencyData processing applicationsCharacter and pattern recognitionNODALPattern recognition
The invention provides a data processing method which includes the following steps: dividing a network into multiple communities; calculating the similarity between the nodes in each community; and determining the center node of each community, and expressing the similarity between the nodes belonging to different communities as the similarity between the center nodes of the commodities corresponding to the nodes. Based on the data processing method, the invention further provides a data processing device and a computer readable storage medium. According to the technical scheme of the invention, as the network is divided into multiple communities, the scale of data processing is reduced; and the similarity between the nodes in different communities is approximated by the similarity betweenthe center nodes of the communities, the precision is not greatly influenced, and the efficiency of the algorithm is greatly improved.
Owner:CHINA ACADEMY OF ELECTRONICS & INFORMATION TECH OF CETC
Wind energy forecasting method based on trend detector and mathematical morphology operator
ActiveCN104504463AImprove forecast accuracyAchieve decompositionForecastingInformation technology support systemElectricityEngineering
The invention discloses a wind energy forecasting method based on a trend detector and a mathematical morphology operator. The concepts of oscillation element and weight barycenter are introduced in the method, on this basis, an average trend detector is designed in combination with a conventional mathematical morphology operator, and unstable historical wind energy data of a wind power plant are decomposed into two dependent components, namely a low-frequency average trend component and a high-frequency random component, the average trend component reflects the total variation trend of wind energy, and the random component is specific embodiment of mutability and randomness of wind energy; the average trend component is forecast by adopting a sine forecasting operator, and the random component is forecast by adopting a local mathematical morphology operator; the forecasting results of the average trend component and the random component are added to obtain the forecasting result of the wind electricity output power of the wind power plant. The wind energy forecasting method disclosed by the invention makes full use of the advantages of mathematical morphology such as simple operation and high speed, so that the forecasting efficiency is improved, and the method is stable in forecasting result and high in forecasting precision.
Owner:SOUTH CHINA UNIV OF TECH
High-precision station switching device
ActiveCN103921096ASimple structureLow manufacturing costMetal working apparatusConveyor partsConstant torqueAutomation
The invention relates to the field of industrial automation, in particular to a high-precision station switching device simple in structure and low in manufacturing cost. The high-precision station switching device comprises a working table, a station rotating plate, a servo motor and a constant-torque motor. A reduction box, the servo motor and the constant-torque motor are disposed on the working table. The reduction box comprises a body, an output end, a first input end and a second input end. The station rotating plate is connected with the output end of the reduction box. The servo motor is connected with the first input end of the reduction box. The servo motor provides drive torque for the first input end. The constant-torque motor is connected with the second input end of the reduction box and provides resistance torque for the reduction box. The drive torque output by the servo is more than two times of the resistance torque output by the constant-torque motor.
Owner:深圳市元博智能科技有限公司
Bottle-shaped object positioning and grabbing method in mobile composite robot application
PendingCN114089767AAchieve positioningAchieve crawlingPosition/course control in two dimensionsVehiclesVisual servoingImaging processing
The invention discloses a bottle-shaped object positioning and grabbing method in mobile coincidence robot application, the method is applied to the field of medical and chemical analysis, in order to to solve the problems that an existing visual servo method is large in calculation amount, and mechanical arm grabbing errors are caused by AGV positioning accuracy, laser SLAM and a visual servo control method based on images are combined, high-precision grabbing work of the movable mechanical arm is achieved, and the problem that AGV positioning is insufficient is solved; the visual servo control method based on the image is optimized in a specific application scene, direct calculation of a large number of Jacobian matrixes is avoided, the calculation process is simplified, and the problem of image processing efficiency is solved. The requirements of high precision and high efficiency of the system are met.
Owner:CHENGDU RUITE DIGITAL TECH
Fault location method based on single-ended ranging
InactiveCN102253315BImprove reliabilityGuaranteed reliabilityFault locationInformation technology support systemElectrical resistance and conductanceTransient state
Owner:CHINA EPRI SCIENCE & TECHNOLOGY CO LTD +2
An Assembled Laser Pilot Rod Device
ActiveCN106948605BGuarantee the quality of masonryNot affected by accuracyBuilding material handlingMirror reflectionEngineering
The invention discloses an assembly type laser height pole device which comprises an optical assembly and a first height pole and a second height pole, wherein the first height pole and the second height pole are oppositely arranged at the two ends of a masonry wall. The optical assembly comprises two parallelly-arranged lasers and a plurality of 45-degree reflectors; the first height pole and the second height pole are same in structure and both comprise levelling bases and height pole bodies correspondingly; scales are arranged on the height pole bodies in the height direction; the two lasers are mounted on the lower portion of the height pole body of the first height pole; one of the 45-degree reflectors corresponding to the lasers is arranged on the lower portion of the height pole body of the second height pole; and the multilayer 45-degree reflectors are mounted on the height pole body of the first height pole and the height pole body of the second height pole correspondingly. The assembly type laser height pole device has the beneficial effects that the mirror reflection principle is used to form multiple sets of horizontal light rays on the masonry wall, the thickness of masonry and the thickness of mortar joints are controlled, and the masonry quality of the masonry wall is guaranteed.
Owner:CHINA FIRST METALLURGICAL GROUP
Image processing method and device, electronic equipment and storage medium
PendingCN114155157AHas line protection effectHas a conformal effectImage enhancementProcessor architectures/configurationPattern recognitionImaging processing
The embodiment of the invention provides an image processing method and device, electronic equipment and a storage medium, and the method comprises the steps: carrying out the line-preserving distortion correction of a target image, and obtaining a target line-preserving distortion correction image corresponding to the target image; inputting the target line-preserving distortion correction image into a shape-preserving network to obtain a target shape-preserving distortion correction mapping graph corresponding to the target image; and performing shape-preserving distortion correction on the target line-preserving distortion correction image by using the target shape-preserving distortion correction mapping graph to obtain a corrected image. The obtained corrected image has a line-preserving effect and a shape-preserving effect, the target shape-preserving distortion correction mapping graph corresponding to the target image is obtained through the shape-preserving network, multiple iterations are not needed, the speed of the image processing process is improved, meanwhile, the position of an image human body does not need to be determined through a portrait segmentation model, and the image processing efficiency is improved. And the conformal effect is not influenced by the precision of the portrait segmentation model.
Owner:CHENGDU KUANGSHI JINZHI TECH CO LTD +1
Weather-adaptive target detection network model and method
PendingCN113780524AImprove generalization abilityReduce the cost of manual labelingCharacter and pattern recognitionNeural architecturesData setVideo processing
The invention discloses a weather-adaptive target detection network model and method, and the method comprises the steps: collecting sunny day video data and rainy day video data through a visual collection device, and writing a script to process a video into a picture; marking the sunny day image data, taking a marked sunny day data set as a source domain data set, and taking an unmarked rainy day data set as a target domain data set; putting the source domain data set and the target domain data set into a weather-adaptive target detection network model for training to obtain a weight parameter file of the model; loading the weight parameter file to obtain a detection network model; and extracting a picture from the video stream according to a set frame number, inputting the picture into the detection network model for prediction, and displaying a prediction result. The detection precision is guaranteed and even improved under the weather influence condition, and meanwhile the problem that the workload of manual data labeling is large is solved by the method.
Owner:WUHAN UNIV OF TECH
An indirect prediction method of wind energy suitable for multi-variable input of wind farms
ActiveCN105930941BStrong targetingAdaptableForecastingSpecial data processing applicationsPeaking power plantPredictive methods
The invention discloses a wind energy indirect prediction method suitable for multivariable input of a wind power plant. The method comprises the steps of 1) predicting a wind speed; 2) predicting an average trend component by adopting a polynomial fitting method and forecasting a random component by adopting a frequency reduction prediction method; 3) integrating forecasting results of two independent components, namely, the average trend component and the random component to obtain a wind speed prediction value; and 4) making a historical wind energy and wind speed data distribution graph, performing polynomial fitting, generating a power curve, and calculating a wind energy prediction value according to the wind speed prediction value by utilizing the power curve so as to realize wind energy indirect prediction. The wind power plant with relatively high wind energy fluctuation also can be accurately predicted without depending on the influence on wind power plant modeling. In addition, the prediction method is a data-driven and adaptive method, and a prediction result of the prediction method does not depend on priori knowledge of a user.
Owner:SOUTH CHINA UNIV OF TECH
Method for guiding robot to suck buzzers for dust removal
InactiveCN112123336ANot affected by accuracyImprove alignment accuracyProgramme-controlled manipulatorGripping headsImaging algorithmSimulation
The invention relates to a method for guiding a robot to suck buzzers for dust removal. The method comprises the following steps that S1, manually placing the buzzers in a material suction disc at will; S2, enabling the robot to start to operate and establish connection with a camera; S3, enabling the robot to send out a trigger signal to trigger the camera to photograph; S4, after an image is captured, carrying out corresponding image algorithm processing, judging whether a buzzer meeting the capturing conditions exists or not, and if the material meeting the conditions exists, sending the coordinates of the material to the robot; and S5, enabling the robot to grab four buzzer materials at a time, then enabling the robot to grab the materials, firstly adhering the materials to an adhesivetape for one time and then sucking the materials by an air suction machine for one time so as to carry out two times of dust removal, placing the materials into a dust removal finishing disc after dust removal, and repeatedly executing the actions after the step S3. According to the method for guiding the robot to suck the buzzers for dust removal provided by the invention, materials meeting theconditions are grabbed through automatic recognition of photographing vision, and the robot is adopted for dust removal, so that the product quality and the assembling efficiency are improved.
Owner:SHANGHAI JIEKA ROBOT TECH CO LTD
Wind Energy Prediction Method Based on Trend Detector and Mathematical Morphological Operator
ActiveCN104504463BImprove forecast accuracyAchieve decompositionForecastingInformation technology support systemElectricityEngineering
The invention discloses a wind energy forecasting method based on a trend detector and a mathematical morphology operator. The concepts of oscillation element and weight barycenter are introduced in the method, on this basis, an average trend detector is designed in combination with a conventional mathematical morphology operator, and unstable historical wind energy data of a wind power plant are decomposed into two dependent components, namely a low-frequency average trend component and a high-frequency random component, the average trend component reflects the total variation trend of wind energy, and the random component is specific embodiment of mutability and randomness of wind energy; the average trend component is forecast by adopting a sine forecasting operator, and the random component is forecast by adopting a local mathematical morphology operator; the forecasting results of the average trend component and the random component are added to obtain the forecasting result of the wind electricity output power of the wind power plant. The wind energy forecasting method disclosed by the invention makes full use of the advantages of mathematical morphology such as simple operation and high speed, so that the forecasting efficiency is improved, and the method is stable in forecasting result and high in forecasting precision.
Owner:SOUTH CHINA UNIV OF TECH
A surface strengthening grinding machine with a worktable that can be turned up and down
ActiveCN104924193BAvoid hindering processingNot affected by accuracyLapping machinesGrinding/polishing apparatusPulp and paper industryCam
The invention discloses a surface strengthening grinding machine whose workbench can be turned up and down. The grinder includes a frame, a workbench, an XYZ three-axis motion system and a rotation system for controlling a Venturi injector; Positioned sheave turning device and slurry circulation system; wherein, said sheave turning device with auxiliary positioning includes a box body, an external meshing sheave mechanism with two pins and four grooves inside the box body, and a straight-moving push rod type cylinder cam mechanism. The grinding liquid circulation system includes a grinding liquid recovery funnel, a stirring device and a Venturi injector located directly under the workbench. The mixing tank is connected. The grinding machine of the invention can not only turn the workpiece 180°, but also has the advantages of high positioning accuracy and reliable operation.
Owner:GUANGZHOU UNIVERSITY
An autonomous calibration platform for modular joint torque sensors
ActiveCN108709684BHigh precisionIncreased amount of data collected for self-calibrationForce/torque/work measurement apparatus calibration/testingDrive shaftCoupling
The invention provides an auto-calibration platform orienting a modular joint toque sensor, belongs to the field of joint torque sensor calibration, and solves the problem that the manual torque loading method has less data acquisition and cannot perform dynamic test and the problem that the accuracy of the input torque value is low through the motor stalling input torque. A brake, a primary coupler, a torque checking sensor, a secondary coupler and a cylindrical closed box are arranged on a base in turn. A transmission shaft rotates to drive the brake to rotate through the secondary coupler,a torque checking sensor connecting shaft, the torque checking sensor, a hollow slip ring connecting shaft and the primary coupler. The brake can provide the constant torque load. Multiple sets of input instructions are given to the brake, the torque size measured by the torque checking sensor is acquired and the value is assigned to the torque sensor of the modular joint so that auto-calibrationand dynamic calibration can be realized. The auto-calibration platform is mainly used for calibration orienting the modular joint toque sensor.
Owner:HARBIN INST OF TECH
Character sequence scanning method and scanning device
ActiveCN103295005BThe fragments are stitched togetherNot affected by accuracyCharacter and pattern recognitionIdler-wheelComputer science
Owner:HANVON CORP
Position sensing mechanism
The invention provides a position sensing mechanism, which comprises a coding element used as a sensing signal source, a reading element used for sensing a signal of the signal source, and a processing unit used for receiving and analyzing a sensing signal output by the reading element, the reading element is technically characterized in that a magnetoresistance unit used for sensing a signal source signal in the reading element is a tunneling magnetoresistance (TMR), the magnetic moments of a reference layer and a free layer of the tunneling magnetoresistance are perpendicular to each other, the magnetic moment of one of the reference layer and the free layer which are perpendicular to each other is parallel to a film surface, and the magnetic moment of the other layer is parallel to a film surface, and the magnetic moment of the other layer is parallel to the film surface. And the magnetic moment of the other layer is vertical to the film surface.
Owner:HIWIN MIKROSYST
A high-precision station conversion device
ActiveCN103921096BEasy to realize intelligent controlSimple structureMetal working apparatusConveyor partsElectric machineAutomation
The invention relates to the field of industrial automation, in particular to a high-precision station switching device simple in structure and low in manufacturing cost. The high-precision station switching device comprises a working table, a station rotating plate, a servo motor and a constant-torque motor. A reduction box, the servo motor and the constant-torque motor are disposed on the working table. The reduction box comprises a body, an output end, a first input end and a second input end. The station rotating plate is connected with the output end of the reduction box. The servo motor is connected with the first input end of the reduction box. The servo motor provides drive torque for the first input end. The constant-torque motor is connected with the second input end of the reduction box and provides resistance torque for the reduction box. The drive torque output by the servo is more than two times of the resistance torque output by the constant-torque motor.
Owner:深圳市元博智能科技有限公司
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