251results about How to "High engineering practical value" patented technology

The invention discloses a multi-view three-dimensional reconstruction method based on binocular stereoscopic vision system. The multi-view three-dimensional reconstruction method comprises the following steps of: designing a binocular stereoscopic vision system according to the scale of a reconstructed object, calibrating the camera of the binocular stereoscopic vision system in advance, and producing a lookup table of the binocular stereoscopic vision system for restoring three-dimensional information; acquiring the video information of the reconstructed object by the binocular camera, performing homographic transformation on the video information acquired by the right camera, and stereoscopically matching the homographically transformed video information to video image of the left camera to obtain a disparity map of the reconstructed object, restoring the three-dimensional information corresponding to the reconstructed object; obtaining the three-dimensional point cloud information of the reconstructed object in different view angles, transforming the three-dimensional point cloud into the same coordinate system in virtue of point cloud preprocessing, rough registration and fine registration so as to complete the three-dimensional reconstruction of the reconstructed object. The multi-view three-dimensional reconstruction method greatly reduces the cost of three-dimensional reconstruction equipment, is simple and effective in process, and is high in engineering application value.

The invention relates to a combined judging strategy-based visual target tracking method. The method comprises the following steps of: (1) aiming at a target size change problem, establishing a self-adaptive scale so as to automatically adjust the size of a tracking frame; (2) aiming at a problem that a position of a target cannot be continuously determined after the target is sheltered, predicting a current observed quantity by adoption of Kalman filtering, and after the target reappears, continuously tracking the target by using a KCF algorithm; and (3) aiming at a problem of tracking failure caused by rapid movement of the target. According to the method, a movement speed of the target is calculated through detecting a position movement distance of the target in adjacent frames, and a detection area size extension coefficient is self-adaptively adjusted, so that relatively high precision can be obtained under different environments, the robustness of the whole tracking system is effectively improved, a relatively high calculation speed is kept, and a high engineering practical value is provided.

The invention discloses an image type defect detecting method for an insulator. The image type defect detecting method for the insulator comprises the steps that firstly, the insulator is preliminarily separated from a complicated background image in a Lab color space by the adoption of the K mean value clustering algorithm according to the characteristic that the color of the insulator has a clustering property in a colored image; then, the specific location of the insulator is positioned by the adoption of the connected region judgment method based on principal component analysis according to the strip symmetry characteristic, formed in the image, of the insulator; on this basis, a defect area of the insulator is recognized by conducting statistical analysis on the distance between every two adjacent discs of the insulator. The image type defect detecting method for the insulator has the advantages that the influence of different kinds of light and the complicated background to the method is small, the accuracy and robustness of insulator defect detection are improved, and the engineering practical value is quite high.

The invention discloses an improved type active disturbance rejection controller. A tracking differential controller performs arrangement transition on an input current given signal iq<*>, and obtaining a smooth transition signal; comparing the output signal of the tracking differential controller with an output signal Z21 of an expansion state observer, and obtaining a system error e; using the system error as the input signal of a novel nonlinear state error feedback control rate; expanding total disturbance of the system to a state, observing the total disturbance by means of a novel expansion state observer and performing real-time compensation, and obtaining current output iq of a controlled object. The active disturbance rejection controller improves smoothness at the periphery of an original point of a traditional active disturbance rejection controller and settles a problem of high-frequency flutter of the active disturbance rejection controller. Through simulation in an MATLAB-Simulink environment, the improved type active disturbance rejection controller has advantages of relatively high speed, relatively high stability, relatively high robustness, and high practical value in engineering, etc.

The invention relates to a method for stimulating an electromagnetism transient of an electric system comprising multiple electric electronic switches and belongs to the technical field of electromagnetism transient analysis of electric systems. According to the method, models for on and off of electric electronic switches are provided by use of the constant impulse response principle. The method comprises the following steps: respectively building a general branch equivalent model and an electric electronic switch equivalent model, and respectively obtaining electromagnetism transient simulation results under various step lengths by virtue of a node voltage equation. The method can be used for solving the problem of state quantity jump numerical oscillation of multiple electric electronic switch models of the electric system. The method for stimulating the electromagnetism transient of the electric system comprising the multiple electric electronic switches can be used for providing a new means for modeling the electromagnetism transient switches of the electric system, and is especially applicable to electromagnetism transient simulation calculation for the electric system comprising multiple electric electronic switch devices such as a modular multilevel module and a high-voltage direct-current module.

The invention relates to an antenna directional pattern testing method based on spherical surface near-field scanning extrapolation. Through near field testing, a far-field directional pattern can be obtained by subjecting obtained data to arithmetic extrapolation, so the testing distance is reduced and plane wave conditions required by cylindrical wave test are not required. A three-dimensional direction pattern obtained finally can analyze performance of an antenna more clearly and visually, and has great engineering practical value. The testing method can realize effective close-range antenna testing, saves testing cost, lowers testing difficulty, and meanwhile aims to obtain the three-dimensional direction pattern of a tested antenna so as to analyze performance of the antenna more accurately.

The invention discloses a lithium ion battery SOC prediction method and device based on an equivalent circuit model. The method comprises the steps: employing an end voltage U, charging/discharging current I, SOC (State Of Charge), capacity Q, discharge depth and capacity voltage differential parameter dQ/dV to represent the performance and fault of a lithium ion battery, so as to build the equivalent circuit model based on the Thevenin theorem; taking the end voltage U, charging/discharging current I, SOC (State Of Charge), capacity Q, discharge depth and capacity voltage differential parameter dQ/dV as the input variables according to the corresponding relation between the capacity voltage differential parameter dQ/dV and the SOC, taking the SOC as the output variable, and building a data pair set. and building a prediction model according to the data pair set. The method predicts the SOC through the end voltage and charging/discharging current, and improves the estimation accuracy of SOC.

The invention relates to the field of power supply of the distribution network, and particularly relates to an evaluation index algorithm for AC and DC distribution network power supply mode selection, so as to realize selection of the best power supply mode. The algorithm comprises the following steps: 1, a technicality evaluation index system is built; 2, a power supply reliability evaluation system is built; 3, an economy evaluation index system is built; 4, a sociality evaluation index system is built; and 5, an environmental protection evaluation index system is built. Compared with the prior art, the algorithm of the invention has the following advantages that the built index systems cover technicality, power supply reliability, economy, sociality and environmental protection, and various performances of the AC and DC power supply network can be reflected thoroughly and objectively; and the built index systems are combined with the existing evaluation method for selection of the AC and DC distribution network power supply mode, and the practical engineering value is high.

The invention discloses a low frequency oscillation online identification method based on a cross-correlation function denoising algorithm. The low frequency oscillation online identification method based on the cross-correlation function denoising algorithm is characterized in that cross-correlation functions are used for replacing actual measured signals to restrain color noise, and modal identification of low frequency oscillation is carried out by combining a total least square-rotation invariant technology parameter estimation (TLS-ESPRIT) algorithm. The algorithm can identify the modality of the low frequency oscillation of a power system under a color noise environment quickly and accurately, and an effective basis is provided for security and stability analysis and restraining measures of a system.

A silicon controlled rectifier dimming control system for LED brightness adjustment is disclosed. A dimming control circuit is improved and optimized. Through introducing a conduction angle compensation technology, when a silicon controlled rectifier dimmer is adjusted to a largest conduction angle, an output current reaches a rated output current value. Through optimizing a dimming drop-down circuit parameter, when the silicon controlled rectifier dimmer is adjusted to a minimum conduction angle, an output current reaches a minimum value which is zero. Human eyes are not sensitive to heavy current LED illumination brightness changes and are sensitive to low current LED illumination brightness changes, based on that, a dimming curve is optimized, a two-segments dimming curve of rapid dimming and slow dimming is designed and two-segment dimming is realized. Through combining a corresponding PFC control circuit, basic requirements of a high power factor required by a basic LED driving circuit, low harmonic wave pollution, stable constant current output and the like are satisfied and simultaneously wide range adjusting can be performed on the LED illumination brightness according to the silicon controlled rectifier dimmer.

The invention, which belongs to the technical field of multi-sensor information fusion, discloses an evidence-synthesis-based information-fusion target recognition method. A plurality of sensors are used for carrying out attribute information collection on a to-be-identified target and a feature attribute is extracted from the collected attribute information; data having the feature attribute aredivided into training data and testing data, wherein the training data are used for constructing a neural network model and the testing data are used for obtaining a basic probability assignment value; and then evidences are synthesized based on an improved evidence synthesis method and the synthesized result is used as the target recognition basis. According to the invention, the basic probability assignment values of evidences are obtained accurately and a synthesis problem of high-conflict evidences is solved. The basic probability assignment values of evidences are obtained by using the neural network and the neural network has the high nonlinear mapping capability and is capable of mapping the intrinsic relationship between the target feature data, so that the accuracy of the basic probability assignment values is ensured, the conformance to the real scene is realized, and the practical significance is good.

The invention relates to a method for identifying a relationship between a transformer area phase sequence and line households. The method comprises the steps of: acquiring an active current value ofa low-voltage outlet line of each phase of the target transformer area, an active current value data and voltage time sequence data of each electric meter, and voltage time sequence data of a three-phase bus at a distribution transformer low-voltage side; classifying types of the electric meters according to the voltage time sequence data, and acquiring electric meter sets; determining the electric meter set to which the low-voltage outlet line of each phase is to be assigned according to the active current value of the low-voltage outlet line of each phase, the active current values and the voltage time sequence data of the electric meters, the voltage time sequence data of the three-phase bus at the distribution transformer low-voltage side and the electric meter set; and combining arbitrary electric meter sets in electric meter sets of each type, and matching the combined electric meter set to be an electric meter classification set Gamma of a phase low-voltage outgoing line i if asum of the active current values after combination and an active current value of the phase low-voltage outgoing line i satisfy a first preset condition. The method and the device have the advantagesof low identification difficulty, high precision, no need of additionally arranging other terminal equipment, high operability and small operation and maintenance pressure.

The invention relates to a parallel connection three-terminal direct current power transmission system and a power coordination control method of the same. The parallel connection three-terminal direct current power transmission system includes LCC (Line Commutated Converter) rectifier stations and LCC inverter stations, wherein two LCC converters are connected through a direct current power transmission line; the direct current power transmission line is connected with a VSC (Voltage Source Converter); each LCC rectifier station is controlled by a constant power; each LCC inverter station is controlled by the constant direct voltage/constant extinction angle; and the VSC is controlled by the constant power. The power coordination control method includes the steps: respectively acquiring the direct current command values of the two rectifier stations; when the VSC is operated in a rectification mode, the current command value of the LCC inverter station is obtained when the sum of the direct current command values of the two rectifier stations subtracts a set current margin value; and when the VSC is operated in an inversion mode, the current command value of the inverter station is obtained when the difference between the direct current command values of the two rectifier stations subtracts the current margin value. The coordination control strategy is simple and easy to use, and can avoid complicated coordination and cooperation between each terminal of a pure LCC type multi-terminal direction current, and has a great practical engineering value.

The invention relates to the field of attitude solution, and discloses an attitude fusion solution method and system. The attitude fusion solution method comprises: acquiring measurement data of an accelerometer, a magnetometer and a gyroscope; carrying out calibration on the measurement data of the accelerometer, the magnetometer and the gyroscope; by utilizing a gradient descent algorithm, carrying out processing on the measurement data acquired by the accelerometer and the magnetometer so as to obtain attitude update quaternions; by utilizing a four-order Range-Kuttle method, solving a differential equation based on an attitude quaternion output by the gyroscope so as to obtain attitude measurement data; carrying out complementary filtering on the attitude update quaternions of the accelerometer and the magnetometer and the attitude measurement data output by the gyroscope so as to carry out fusion attitude solution. The attitude fusion solution method and system have high attitudeestimation accuracy, good rapidity and low load for a system, and have high engineering practical value.

The invention relates to a system and method for grinding a part weld joint based on a vision guide robot. The system comprises a laser sensor, an image collection module, an upper computer, the robot and a floating grinding head. The laser sensor, the image collection module and the floating grinding head are mounted on the sixth-axis tail end of the robot, the laser sensor is used for collecting the relative position of the robot and a part, the image collection module is used for collecting image information of the part at the specific position, and the upper computer is used for processing the image information so as to determine the weld joint position, and controlling the robot to drive the floating grinding head to grind the weld joint. According to the system, the laser sensor carries out automatic positioning of the collected image, accuracy and uniqueness of the image collecting position each time can be ensured, the system can achieve full-automatic grinding, the work efficiency is high, operation is concise, worker operation is facilitated, the ground product quality is ensured, and efficient and high-quality production of the enterprise is facilitated.

The invention discloses a flying robot with variable sweep angle launch tandem wings and aims to solve the problem that neither two front folding wings nor two rear folding wings of an existing launch flying robot can be unfolded respectively, so that moving attitude control of the flying robot is limited. The flying robot comprises a folding propeller, a fuselage, a left rear wing, a right rear wing, a left front wing, a right front wing, two vertical tails, two vertical tail pin shafts and four rotary hinges, wherein the folding propeller is installed on the head of the fuselage, the left front wing and the right front wing are symmetrically arranged on the two sides of the front end of the fuselage, the left rear wing and the right rear wing are symmetrically arranged on the two sides of the rear end of the fuselage, the left front wing, the right front wing, the left rear wing and the right rear wing are hinged to the corresponding rotary hinges respectively, each rotary hinge is connected with a corresponding helm gear in the fuselage, and the two vertical tails are symmetrically arranged on the two sides of the tail end of the fuselage and installed on the upper surface of the tail portion of the fuselage through torsional springs. The flying robot is used for attitude control.