43results about How to "Correction results are accurate" patented technology

The invention relates to the field of underwater robotics. Based on distance collected every two moments between an underwater robot and an acoustic beacon and sailing distance of the underwater robot during the period, a computer in the underwater robot calculates a steering angle of the underwater robot and controls the underwater robot to sail toward the acoustic beacon. When the distance between the underwater robot and the acoustic beacon decreases to a set value, the underwater robot performs circular motion round the acoustic beacon. Based on a course and speed of the underwater robot and the distance collected between the underwater robot and the acoustic beacon, an improved extended Kalman filter algorithm is used for estimating position of the underwater robot online. According to the invention, the device requires only one acoustic beacon and a range finder, without the need of other auxiliary devices; can be easily transferred to various underwater robots with the range finder easy to install and the correction algorithm program of good transferability; and has the advantages of good stability and reliability, accurate correction, simple installation, long service life and wide application.

The invention relates to an automatic online correction method for the SOC (state of charge) of a battery. According to the method, on the basis of change relationships between states of charge and open-circuit voltages on an SOC-OCV curve, at least two feature points, namely, a first feature point and a second feature point, are set in areas except the gentle areas of the curve, the voltage of the first feature point being greater than the voltage of the second feature point; an SOC value and a voltage value corresponding to each feature point are obtained; the highest unit voltage or lowestunit voltage of the battery and a corresponding SOC value of the battery are detected in real time under set conditions; and comparative judgment is performed on the unit voltage of the battery and the voltage values corresponding to the feature points, and the SOC value of the unit battery and the SOC values corresponding to the feature points, and the SOC of the battery is corrected according tojudgment results. With the automatic online correction method for the SOC (state of charge) of the battery of the invention adopted, the problems of failure to timely correct an SOC value caused by failure to automatically detect defects online in the prior art can be solved.

The invention discloses an intelligent working face coal-rock interface recognition method based on geological data. The method includes the first step of coal seam three-dimensional modeling based on geological data, the second step of coal seam primary mining and coal-rock interface recognition, and the third step of coal seam subsequent mining and coal-rock interface recognition. The first step includes the substeps that 101, geological data is obtained through actual measurement, wherein actual measurement geological data of to-be-mined coal seam is obtained and includes coal seam geological data, mining roadway geological data and cut hole geological data; 102, a coal seam model is constructed, wherein data storage, interpolation operation, three-dimensional coordinate database generation and model construction are conducted. The third step includes the substeps that the to-be-mined coal seam continues to be mined by means of a coal mining machine from back to front, and a coal-rock interface of the working face is recognized before each working face is mined. The method is simple in step, reasonable in design, convenient to implement and good in use effect, and the coal-rock interface is conveniently, quickly and accurately recognized according to the actual measurement geological data and cylinder height adjustment track prediction data.

The invention discloses a delay chain temperature drift on-orbit correction device and a delay chain temperature drift on-orbit correction method based on FPGA. The device comprises a temperature sensor, a delay chain, a D trigger array, a decoding unit, a lookup table storage unit and a temperature drift correction control unit, wherein the temperature sensor is used for collecting real-time temperature; the delay chain is used for reading out time information of an input signal relating to a clock edge; the D trigger array is connected to the delay chain, for locking an output state of each delay unit in the delay chain when arriving the clock edge and outputting temperature coding data; the decoding unit is connected to the D trigger array, for converting the temperature coding data into binary code data and outputting; the lookup table storage unit is used for storing integral nonlinear lookup table data of the delay chain marked at a preset temperature point; the temperature drift correction control unit is connected to the temperature sensor, the decoding unit and the lookup table storage unit respectively, for achieving on-orbit correction of delay chain temperature drift. According to the delay chain temperature drift on-orbit correction device and method based on FPGA, correction of the delay chain temperature drift is achieved by fewer sources, and high time resolution capacity is ensured.

The invention provides a method for correcting uncertainty of an independent component analytical method in electromagnetic interference separation, wherein the method is used for the field of electromagnetic interference separation. The method includes the steps that the phase position of an independent separation signal matrix is regulated according to mixed estimation of plus or minus characteristics of each row of the matrix, and all actual measurement signals with correlation coefficients of independent separation signals and the maximal actual measurement signal are searched; new independent separation signals FS are obtained through transform domain processing; feature frequency points of the independent separation signals are searched in a certain step length; according to the feature frequency points, the energy proportionality coefficient between current independent separation signals and the maximal actual measurement signal is determined, and the independent separation signals in a new frequency domain are obtained; and Fourier inversion is carried out on the independent separation signals in the new frequency domain, and correction signals are rejected. The method corrects phase positions and amplitude values of the independent electromagnetic interference separation signals based on an independent component analysis, is precise in correction result, and can be used for quantitative analyses of electromagnetic interference tests.

The invention discloses a resource allocation method and device. The method includes: frequentness of data dynamic scheduling of UE is judged; if the frequentness is frequent, according to a first CQI (Channel Quality Indicator) correction result, SPS (Semi-Persistent Scheduling) resource allocation is performed on the UE; the first CQI correction result is related with ACK / NACK information of dynamic-scheduling preliminary sending data, but not related with ACK / NACK information of SPS preliminary sending data; if the frequentness is sparse, according to a second CQI correction result, SPS resource allocation is performed on the UE; and a second CQI correction result is related with the ACK / NACK information of the SPS preliminary sending data, but not related with the ACK / NACK information of the dynamic-scheduling preliminary sending data.

The invention discloses a gray Markov chain trajectory prediction method for shearer memory cutting. The method comprises the steps that a drum height data sequence for prediction is acquired: mining machine memory cutting data in the mining process of 6 to 8 working faces on the back side of the current working face are acquired; the drum height is preliminarily predicted; a drum height preliminary prediction results is amended, wherein prediction residual Markov chain establishing, Markov predicting, drum height prediction data set calculating and shearer heightening data set acquiring are carried out; and a heightening trajectory is acquired, and specifically a data processing device acquires the shearer heightening trajectory of the current working face according to the shearer heightening data set acquired in the previous step in the mining process of the current working face. The method provided by the invention has the advantages of simple steps, reasonable design and simple realization, good use effect, simple method steps, reasonable design, easy realization, good use effect and high prediction accuracy, and carries out heightening trajectory prediction based on a gray Markov chain.

The invention relates to the technical field of a deepwater robot, and in particular relates to a device and method for integrated navigation of a deepwater robot. The device comprises a rangefinder, a beacon, sensors and a navigation computer. The method is as follows: after launching of the deepwater robot, data of the rangefinder, a heading sensor, a speed sensor and a depth sensor is acquired by a navigation computer; when distance data of the rangefinder is acquired by the navigation computer, the initial position of the deepwater robot is calculated; whether the initial position is valid is judged; if the initial position is valid, whether the distance data is valid is judged, if the distance data is invalid, then the distance data is discarded, and the method is returned to the step of calculating the initial position of the deepwater robot; if the distance data is valid, according to the distance data, the position of the deepwater robot is modified online. The device is simple, good in inheritance, stable and reliable, accurate in correction results, simple in installation, long in service life, and wide in range of application.

The invention discloses a wind tunnel test tail support interference correction method and an application thereof. The wind tunnel test tail support interference correction method aims to settle a problem of incapability of performing tail support interference correction tests caused by factors secondary interference, relatively small test angle-of-attack and easy plane model vibration, wherein the factors occur because of a model belly supporting manner and relatively large dimension of a belly supporting system. According to the wind tunnel test tail support interference correction method, a stripe suspension supporting mechanism is used as an auxiliary support; and through simulating a testing state with a tail support system and a testing state without the tail support system, support interference correction amount of the tail support system to a tested sample is acquired, thereby acquiring a corrected testing result which comprises a model aerodynamic force, torque, etc. The wind tunnel test tail support interference correction method realizes the following advantages in correction: small secondary interference, large test angle-of-attack range, small tested model vibration amplitude, higher accuracy of obtained correction method, high use value and high economic benefit.

The invention provides a method and a system for correcting the head position in a head CT image, and the method comprises the steps: taking a CT image reconstructed after scanning as an implementation object, and correcting the head position in a reconstructed three-dimensional image; selecting key points, selecting a template image comprising the key points from a template database, and markingposition coordinates of the key points in a template image coordinate system; performing key point detection on the reconstructed CT image to obtain a detection point, and marking position coordinatesof the detection point in a reconstructed image coordinate system; and taking the position coordinates of the key points in the template image coordinate system as a reference, finding out the deviation angle of the detection point in the reconstructed image coordinate system, and correcting the reconstructed image by taking the deviation angle as a correction angle. The method can automaticallycorrect the image without manual intervention, thereby saving manpower. The speed is high, real-time calculation can be achieved, and time is saved. The correction result is accurate. A patient can move before scanning, a comfortable posture is kept, and humanization is achieved.

The invention relates to the technical field of deepwater robots, and especially relates to a deepwater robot multi-model EKF combined navigation method. A device related with the method comprises a range finder, a sound beacon, an inertial navigation sensor, and a navigation computer. The method is characterized in that the method comprises the steps: enabling the navigation computer to carry out the data collection from the range finder, the navigation sensor, a navigation speed sensor and a depth sensor after a deepwater robot enters the water; determining a navigation stage of the deepwater robiot according to the quantity and quality of distance measurement data; building a plurality of deepwater robot kinematic models when the deepwater robot is at the combined navigation stage, determining the corresponding weight of each model when the distance measurement data is updated, and solving the weighted output of all navigation models, wherein the weighted output is the output value of a combined navigation algorithm. The method is stable and reliable, is high in navigation precision in a deepwater environment, and is wide in application range. Moreover, the used device and method are simple, and are good in inheritance.

The invention discloses a harmonic measurement device and harmonic measurement method based on windowing interpolation DFT of a Hanning window. The device comprises an ARM module, a Hanning window windowing interpolation module, a power supply module, a switching value module, measurement modules, a display module, a storage module, a data communication module and a control output module. A core module is formed by connecting the windowing interpolation DFT module of a Hanning window with the ARM module; the basic module is composed of the measurement modules, the power supply module, the switching value module, the data communication module, the display module, the storage module and the data control module, and the basic module is connected with the core module; all the modules in the basic module independently coexist and are jointly established to stably operate under the condition that the core module normally works. According to the invention, under the condition of carrying outhuge operation, simultaneous operation of multiple measurement modules is considered, and the advantages of timely data sampling, high accuracy, strong real-time performance and the like are achieved.

The invention relates to a traffic navigation system based on parallel data excavation. The system is provided with a cloud server, a management and control platform, a vehicle monitoring terminal and a management terminal. The management and control platform and the management terminal are connected to the cloud server via the Internet respectively. The vehicle monitoring terminal is connected to the management and control platform via a mobile communication circuit. The management terminal is provided with a serial port communication circuit and a radio frequency label reading mechanism. The vehicle monitoring terminal is carried with a radio frequency tag. A data preprocessing module comprises an attribute adding / deletion module, an attribute position exchange module, an added ID attribute module, a multi-table merging module, an attribute protocol module, a data redundancy processing module, a data sampling module and a data noise processing module. In the invention, through carrying out excavation processing on user driving data, a corrective default value of a driving path is acquired; through processing and analysis of a lot of user data, a user path correction result infinitely approaches an accurate result; and the system possesses advantages that the structure is reasonable, work is reliable and so on.

The invention discloses a flight projectile trajectory correction method based on meteorological grids. The method comprises the following steps: (1) carrying out the rough estimation of a flight projectile trajectory envelope line based on environment information and a trajectory model, and constructing the meteorological grids available for the trajectory model; (2) performing rasterization processing of meteorological parameters on the ballistic model to form a ballistic calculation model coupled with meteorological grids; (3) performing scale transformation on the meteorological grids according to the step length of the trajectory integration, further subdividing the grids, and forming new calculation nodes on the trajectory; (4) performing data fusion on the meteorological parameters of each meteorological grid and the meteorological parameters of the adjacent meteorological grid, and establishing a meteorological parameter grid function in an analysis form by adopting an interpolation mode; and (5) performing ballistic integration by using the meteorological parameter grid function to obtain a ballistic correction result compensated by the meteorological grid. The invention establishes a meteorological parameter grid function based on environmental information, and provides a flight missile and rocket trajectory correction method.

The invention discloses a method for predicting the heightening track of a coal cutter based on a sliding window and a gray Markov chain. The method comprises the steps that firstly, the window width of the sliding window is set, specifically, the window width of the sliding window is set; secondly, primary mining data of a coal seam and cutting posture data of a roller are recorded; and thirdly, subsequent mining of the coal seam and prediction of the heightening track are conducted, specifically, the to-be-mined coal seam continues to be mined from back to front through the coal cutter in the working face advancing direction, the heightening track of the coal cutter on each working face is predicted before mining is conducted on the working face, and the process for predicting the heightening track of the coal cutter on any working face comprises the following substeps that 301, a data sequence in the sliding window is obtained; 302, the height of the roller is predicted preliminarily; 303, a roller height primary prediction result is corrected; and 304, the heightening track is obtained. The method for predicting the heightening track of the coal cutter based on the sliding window and the gray Markov chain is simple in step, reasonable in design, easy and convenient to implement, and good in using effect; and the heightening track is predicted based on the sliding window and the gray Markov chain, and thus the prediction precision is high.

The invention provides a vehicle positioning method and assembly, electronic equipment and a storage medium. The method comprises the steps that whether the state of a GPS signal obtained by a vehicle-mounted positioning system is effective or not is judged; if it is determined that the GPS signal state is invalid, the environment state type of the vehicle in an electronic map of the vehicle-mounted positioning system is determined according to a strapdown inertial navigation resolving result in the vehicle-mounted positioning system; corresponding filtering data and filtering parameters are determined according to the environment state type; a strapdown inertial navigation resolving result is corrected according to the filtering data, the filtering parameters and an adaptive Kalman filtering model; and a vehicle positioning result is determined according to a correction result of the strapdown inertial navigation solution. According to the method, the filtering data and the filtering parameters which are most matched with the environment state type are determined by utilizing the environment state type of the vehicle in the electronic map, and then the strapdown inertial navigation calculation result is corrected according to the most matched filtering data and filtering parameters, so that an accurate correction result and a vehicle positioning result can be obtained.

The invention relates to a support vector machine-based method for correcting measurement voltage values of insulator detection robots. The method comprises the following steps of: simulating insulator conditions with different low values and zero values according to an insulator distribution parameter model and an insulator detection robot equivalent circuit model, respectively calculating an insulator string voltage distribution value and when a robot does not exists and an insulator string voltage distribution value measured by the robot at each insulator, and taking the two groups of dataas samples to form a sample library; selecting a sample set, carrying out training by utilizing a support vector machine model, carrying out correction to obtain practical voltage distribution, and completing model training through model parameter optimization; and correcting measurement data by utilizing the trained model, so as to obtain real insulator string voltage distribution. According to the method, a complicated nonlinear relationship between measured voltage values and practical insulator string distribution voltage can be obtained through sample data training and learning under typical defect conditions, so as to correctly correcting measured voltage values under normal conditions and different low / zero-value insulation conditions.

The invention provides a rectifying system and method for an X-ray intensifier. The system comprises an X-ray source, the X-ray intensifier, a charge-coupled device (CCD) light-sensitive circuit and a control computer which are connected in sequence by light paths, wherein the control computer is provided with an offline calibrating system and an online rectifying system; the offline calibrating system comprises a calibrated image denoising system, a calibrated image corner point extracting system and a distortion characteristic studying system which are connected in sequence; the CCD light-sensitive circuit is connected with the calibrated image denoising system; the distortion characteristic studying system is connected with the online rectifying system; the online rectifying system is connected with the CCD light-sensitive circuit; and a special calibrating plate or product to be tested which is connected with the X-ray source and the X-ray intensifier by a light path is arranged between the X-ray source and the X-ray intensifier. The invention has the following beneficial effects: the calibrated images can be obtained by the offline calibrating system so as to obtain the distortion mapping parameters, the X-ray images of the product to be tested can be rectified in the online state and the X-ray images which are not distorted are output to be used in the subsequent procedures.

The invention relates to a simple testing method of bonding firmness of a coating layer and a substrate of heat-sensitive paper. The bonding firmness of the coating layer and the substrate of the heat-sensitive paper can be quickly detected, production control or improvement of product quality is facilitated, steps are simple, the operation is simple, and the instrument cost is low.

The present invention proposes a method and a system for correcting the head position in a head CT image. The method takes the scanned and reconstructed CT image as the implementation object, and corrects the head position in the reconstructed three-dimensional image; the method includes steps: Select the key point, select the template image including the key point from the template database, and mark the position coordinates of the key point in the template image coordinate system; perform key point detection on the reconstructed CT image, obtain the detection point, and mark the detection point The position coordinates in the reconstructed image coordinate system; with the position coordinates of the key points in the template image coordinate system as a reference, find out the offset angle of the detection point in the reconstructed image coordinate system, and use the offset angle as the correction angle to correct the reconstructed image . The invention can automatically correct images without manual intervention, saving manpower; fast, capable of real-time calculation, saving time; accurate correction results; patients can move before scanning, maintain a more comfortable posture, and are more humane.

The invention relates to a method for correcting the voltage value measured by an insulator detection robot based on a support vector machine. According to the distribution parameter model of the insulator and the equivalent path model of the insulator detection robot, the situations of different low and zero value insulators are simulated, and the insulator strings are calculated respectively when there is no robot. The voltage distribution value and the insulator string voltage distribution value measured by the robot on each piece of insulator, the two sets of data are used as samples to form a sample library; select the sample set, use the support vector machine model for training, correct the actual voltage distribution, and optimize the model parameters Complete the model training; use the trained model to correct the measurement data, and the real voltage distribution of the insulator string can be obtained. This method can obtain the complex nonlinear relationship between the measured voltage value and the actual insulator string distribution voltage through training and learning of sample data under typical defect conditions, and accurately correct the measured voltage values ​​under normal conditions and different low and zero value insulators .

The invention relates to the traffic information management technology field and more particularly, to a travel path management system based on travel vehicle data mining and the system is characterized by the arrangement of a cloud server, a management and control platform, a vehicle monitoring terminal, and a management terminal wherein the management and control platform and the management terminal are connected with the cloud server through an internet respectively and the vehicle monitoring terminal is connected with the management and control platform through a mobile communication circuit. The management terminal is provided with a serial-port communication circuit and a radio frequency label reading mechanism. The vehicle monitoring terminal is provided with the radio frequency label. The management and control platform comprises a data receiving module, a data processing module, and a data outputting module wherein the output end of the user data comparing module is connected with a correction module. According to the invention, users' driving data are mined and processed to obtain a travel route corrected default value. Based on the processing and analyzing of large amounts of user data, the travel path for the users is corrected to be the most accurate possible. With a simple structure, the system provides reliable performances.

The invention discloses a trajectory correction method for a flight projectile based on a meteorological grid. The steps are as follows: (1) Roughly estimating the envelope of the flight trajectory based on environmental information and a trajectory model, and constructing a meteorological grid available for the trajectory model; ( 2) Carry out grid processing of meteorological parameters on the ballistic model to form a trajectory calculation model coupled with meteorological grids; (3) Scale transform the meteorological grids according to the step size of the ballistic integration, further subdivide the grids, and Form a new calculation node; (4) integrate the meteorological parameters of each meteorological grid with the meteorological parameters of adjacent meteorological grids, and establish an analytical grid function of meteorological parameters by using the interpolation method; (5) use the meteorological The parametric grid function is used to perform ballistic integration, and the ballistic correction result compensated by meteorological grid is obtained. The invention establishes a meteorological parameter grid function based on environmental information, and provides a trajectory correction method for flying bullets and arrows.

The embodiment of the invention discloses a subway positioning method and device based on mobile communication, and the method comprises the steps: firstly, carrying out the calculation, and obtainingan acceleration estimation value of a subway in the operation process and an operation duration estimation value of the subway between a first subway station and a second subway station; determiningthe moment when the subway stops at the second subway station through the receiving level intensity of the mobile terminal in the subway at each moment; correcting the accelerated speed estimated value and the operation time length estimated value of the subway between the first subway station and the second subway station, and obtaining the uniform-speed operation speed of the subway through a correction result; and positioning the position of the subway at each moment according to the correction result and the constant-speed running speed. According to the scheme disclosed by the embodimentof the invention, the estimated value can be further corrected based on the wireless signal characteristics of the mobile terminal in the subway, and a relatively accurate correction result is obtained, so that relatively accurate positioning of the subway is realized, and compared with the prior art, the positioning precision of the subway is improved.

The invention provides a co-segmentation result correction method based on segmentation propagation. The co-segmentation result correction method comprises the steps of dividing co-segmentation results into a correct segmentation result set and a wrong segmentation result set; selecting a wrong segmentation image I' [j] to be corrected; working out a corresponding global spectrum M<G> of the present wrong segmentation image I' [j]; working out a corresponding local spectrum M<L> of the present wrong segmentation image I' [j]; obtaining a corresponding prospect spectrum M: M = [alpha] M<L> + (1 - [alpha]) M<G> of the present wrong segmentation image I' [j] based on the global spectrum and the local spectrum in a step 6; obtaining the prospect spectrum M of the present wrong segmentation image I' [j], then segmenting the prospect spectrum M, and obtaining a corrected co-segmentation result. According to the invention, the correction method is strong in adaptive ability and accurate in correction result by global propagation and local propagation.

The invention relates to an automatic online correction method for battery SOC. According to the relationship between SOC and open circuit voltage on the SOC-OCV curve, avoiding the gentle area of ​​the curve, and setting at least two feature points: a first feature point and a second feature point , and the voltage of the first feature point is greater than the voltage of the second feature point, and the SOC value and voltage value corresponding to each feature point are obtained; under the set conditions, the highest cell voltage or the lowest cell voltage of the battery and the corresponding SOC are detected in real time value; compare and judge the battery cell voltage and the voltage value corresponding to the characteristic point, the cell SOC value and the SOC value corresponding to the characteristic point, and correct the battery SOC according to the judgment result. It solves the problem that in the prior art, the defect cannot be detected automatically and online, so that the SOC value cannot be corrected in time.