36results about How to "Not affected by accuracy" patented technology

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.