88results about How to "Reduce data processing time" patented technology

The embodiments of the present invention provide a binocular vision positioning method, a binocular vision positioning apparatus and a binocular vision positioning system. The binocular vision positioning method comprises: calculating first pose change information according to the two frames of images collected by a binocular camera unit at two consecutive moments; calculating second pose change information according to the inertia parameters collected by an inertia measurement unit between two successive moments; respectively extracting the matched feature points from the two frames of the images, and calculating the reprojection errors of each feature point; and obtaining the optimized third pose change information for positioning by using the calculation results as the nodes or edges ofa common graph optimization algorithm. The binocular vision positioning system comprises a binocular vision positioning apparatus, a binocular camera unit and an inertial measurement unit, wherein the binocular camera unit and the inertial measurement unit are connected to the binocular vision positioning apparatus, and the left camera and the right camera of the binocular camera unit are symmetrically positioned on both sides of the inertial measurement unit. The technical scheme provided by the embodiments of the present invention can improve the estimation precision and the real-time property of the position posture.

The invention provides a data processing method, a terminal and a computer readable storage medium. The data processing method comprises the following steps of acquiring sampled data; generating indicator data based on normal distribution according to a mean value and a standard deviation of the sampled data; acquiring to-be-tested data; determining whether the to-be-tested data falls into a dynamic standard range of the indicator data; and if the to-be-tested data is beyond the dynamic standard range of the indicator data, determining that the to-be-tested data is abnormal data, warning the abnormal data, recording to-be-tested data in a previous preset time domain with a time point at when the abnormal data is generated as a reference time point, and using the to-be-tested data as warning prediction data. Through adoption of the method, laws of different types of data are learned, so as to determine a normal range and an abnormal range of data, so that operation and maintenance personnel can work more efficiently, and to-be-tested equipment is less likely to fail.

The invention discloses a waveform data processing method for a digital three-dimensional oscilloscope. Multiple-amplitude waveform data acquired in a primary refresh cycle are mapped into a three-dimensional data base, contents of the three-dimensional data base serve as data processing objects to be subjected to statistical histogram analysis, and a K mean value clustering algorithm is adopted to divide a histogram into a high portion and a low portion, namely Hupper and Hlower. High state level and lower state level of a pulse parameter, namely a top end value vtop and a bottom end value vbase are estimated according to the Hupper and the Hlower. Other waveform parameters, such as amplitude, lifting-descending time and cycle can be calculated according to the top end value vtop and the bottom end value vbase. By adopting the waveform data processing method, the influence of an abnormal value and an accidental signal on the waveform parameter measurement can be avoided, and the accuracy of amplitude types of parameter measurement results can be effectively improved under the high-noise condition.

Provided are a servo measuring testing system and method for coal sample gas adsorption and desorption. The system comprises a gas supply device, a vacuumizing device, a gas adsorption device, a gas desorption measurement device and an electric control device; the gas supply device comprises a high-pressure gas tank and a gasing tank; the vacuumizing device comprises a vacuum pump and a vacuum meter; the gas adsorption device comprises a coal sample tank, and the gas desorption measurement device comprises a water storage container, a water collection container, an electronic balance, a servo motor, a fixed support and a water guide pipe. According to the servo measuring testing system and method for coal sample gas adsorption and desorption, volume measurement of desorbed gas is converted into volume measurement of liquid water, test operation is easy and convenient, test data is accurate, and real-time precise automatic collection and real-time display of the test data are achieved; in addition, it is guaranteed that the gas desorbed from a coal sample is under the condition of one atmospheric pressure, and a more reliable data basis is provided for researching the coal-mass gas adsorption and desorption rule.

The invention discloses a method and a device for measuring particles through a transmitting pulsation method. Narrow beams are eradiated on flowing particles, and a transmitting pulsation signal is produced. A photodetector is used to check, an analog circuit is adopted to process the signal, thereby requirements for collecting speed, data collecting quantity, storing quantity, and processing quantity are lowered, data processing time is shortened, and real-time measurements can be realized. Referencing optical detection is added and used to obtain information about incident optical intensity changes and perform correcting effects, interference inferences to measuring results due to light source instability can be avoided and equal particle diameter and particle density can be tested simultaneously. Sizes of the particle diameter and beam cross-sections aren't limited to Gregory method, particle diameter range of testing particles is large, The invention can be used in many fields as scientific research, production and processing control of chemical energy, environmental protection, water quality detection, particle measurement, and the like.

An orthographic projectional correction method of a close shot photogrammetric image used in an industry relates to the technical field of an image processing and solves the technical problems that the accuracy and the efficiency of the photogrammetric image are low; the orthographic projectional method creates a back projection transformational model by utilizing a shooting distance, a shooting angle and an imaging law of an isometric object; the steps of the method are as follows: 1) an extreme value of a ratio relation of an image size of the isometric object and a vertex angle along the horizontal direction of a camera lens are respectively obtained; 2) corresponding relations between the four pairs of points C-c, D-d, E-e and F-f are obtained: 3) by the back projection transformation, an area abcd of the image is converted into the ladder-shaped area ABCD. The orthographic projectional correction method of the invention has the advantages that the accuracy and the efficiency of an automatic decoding algorithm are enhanced, a work load of a data acquisition and the time of a data processing are reduced, an utilization ratio of an encoding mark in the single image is improved, and the labour intensity of the on-the-spot data acquisition is also reduced.

The invention discloses a data fusion method for laser radar and differential GPS and a system. The method comprises the following steps: acquiring a radar point coordinate of a present position of a vehicle and a GPS data in a preset distance in front of the vehicle and generating a fitting function of a present road according to the GPS data; confirming the driving width of the vehicle on the present road according to the vehicle width; correcting the fitting function according to the driving width, thereby acquiring a function of the driving area; judging if the radar point coordinate meets the function of the driving area; if the radar point coordinate meets the function of the driving area, judging if the radar point on the present position of the vehicle is in the driving area. According to the invention, the dispersing differential GPS road information is converted into a continuous function and then a position relation of the function and the laser radar point is utilized to judge the safety of the laser radar point. According to the method, a large amount of laser radar data processing time is saved and the safety of the pilotless automobile is increased.

A dot position measurement method includes: a line pattern formation step of recording dots continuously by a plurality of recording elements of a recording head while performing relative movement between the recording head and a recording medium in such a manner that a measurement line pattern including a plurality of lines of rows of the dots respectively corresponding to the plurality of recording elements is formed on the recording medium; a reading step of reading the measurement line pattern formed on the recording medium with an image reading apparatus in a state where a longitudinal direction of the plurality of lines of the measurement line pattern are directed to a sub-scanning direction of the image reading apparatus and a reading resolution in the sub-scanning direction of the image reading apparatus is lower than a reading resolution in a main scanning direction of the image reading apparatus in such a manner that an electronic image data indicating a read image of the measurement line pattern is acquired; a region allocating step of allocating a plurality of averaging regions where an image signal on the read image is averaged in terms of the sub-scanning direction, to different positions in terms of the sub-scanning direction of each of line blocks, each line block including the lines arranged in the main scanning direction; an average profile image forming step of averaging the image signal in terms of the sub-scanning direction in each of the plurality of averaging regions that have been allocated to the different positions and creating average profile images for positions in terms of the main scanning direction; an edge position determination step of determining positions of both edges of each of the lines according to the average profile images; an averaging region position determination step of determining positions of the lines in the plurality of averaging regions according to the positions of the both edges determined in the edge position determination step; and a line block position determination step of determining positions of the lines in the line blocks according to the positions of the lines in the plurality of averaging regions determined according to the average profile images corresponding to the plurality averaging regions respectively.

The invention relates to a binocular vision obstacle avoidance wheeled robot based on SLAM. The robot includes a chassis frame, wheels arranged on the chassis frame, driving means for driving the wheel movement, A low layer control board of that stm32 is arrange on the chassis frame, an NVIDIA tx2 development board, a binocular vision camera, a power supply device for supplying power to the stm32bottom control board and the NVIDIA tx2 development board, an encoder and a posture sensor for detecting the movement speed and the displacement of the robot; The stm32 bottom layer control board andthe binocular vision camera are respectively electrically connected with the NVIDIA tx2 development board; The driving device, the encoder and the attitude sensor are electrically connected with the bottom control board of the stm 32, respectively. The robot provided by the invention has the advantages of high precision, good real-time performance and is not easy to be disturbed by environment.

The invention provides a line differential protection method based on differential output of an electronic current transformer, and belongs to the field of power system relay protection. The technical scheme is that an integration element in high-voltage side data processing of conventional line differential protection is removed, and differential signals output by the sensing head of a Rogowski coil are directly used to realize longitudinal differential protection of a high-tension transmission line, and complexity of a device is reduced, and data processing time is reduced. On the basis of ensuring reliability and speed, adverse effect caused by an extra integral circuit is prevented, the method adapts to differential output of the Rogowski coil. PSCAD / EMTDC simulation experiments show that the differential protection scheme based on the current differential signals is effective and feasible, line rapid differential protection can be realized by directly using the differential signals output by the electronic current transformer, the integration element is removed. The method adapts to requirements of interfaces of the electronic current transformer, and can be used for main protection of high-tension transmission lines.

The invention provides a multichannel supersonic wave barrier anti-crosstalk detection method. According to the method, convolutional encoding and a two-step correlation function are combined (2, 1, 2), convolutional coding are performed on supersonic wave emission signals, and de-noising processing is conducted on supersonic wave echo signals. The method comprises the steps: a microprocessor initializing various register parameters, a convolutional encoder and a supersonic wave signal transmit-receive period; gating corresponding supersonic wave channels, encoding the corresponding supersonic wave channels by means of a convolutional function, taking encoded sequence values as supersonic wave excitation signals and sending the excitation signals, starting an echo circuit, and enabling echoes to receive an interrupt register and an A / D acquisition register; acquiring A / D signals in real time, triggering an external interrupt register if echoes exit, recording the arrival time, starting a timer, and acquiring and storing echo signals; and then closing a timing register, conducting two-step correlation processing on the acquired echo signals and excitation waves by means of the microprocessor, calculating an barrier distance according to the obtained time if the acquired echo signals and the excitation waves are correlated, otherwise, giving up and receiving next echoes.

The technology discloses a cutting state edge intelligent monitoring method based on an online incremental wear evolution model. A tool edge intelligent monitoring system is used for acquiring cuttingforce signals, vibration signals and acoustic emission signals in the machining process of machining equipment in real time; a wireless data transmission network is established, a data transmission path is controlled with a domain controller, and finally data is transmitted from a sensing layer to an edge computing layer; the data is preprocessed with a Field Programmable Gate Array (FPGA) hardware system of the edge computing layer to obtain a training sample, an internal topological structure of an online sequential increment extreme learning machine is determined by combining the feature number and the sample number of the training sample, and finally the data acquired by a sensor is transmitted to the trained edge computing layer under the same working condition; a real-time monitoring result is sent to a cloud computing layer by utilizing an SDN technology layer in the tool edge intelligent monitoring system; and a tool wear monitoring result is applied by using an application service in the cloud computing layer. The technology has high real-time performance, good accuracy and strong data processing capability.

The invention discloses a processing method of video data, a terminal, a server and a storage medium, belonging to the technical field of data processing. The embodiment of the invention acquires target area information of at least one frame of original video image through a first device, and in the process of generating a video data stream by the first device, causing the generated video data stream to carry corresponding target area information, so that after the second device receives the video data stream, the required target area information can be directly extracted from the video data stream, thereby avoiding the complicated process of the second device acquiring the target area information based on the related video image again, greatly saving the data processing time and reducingthe burden on the system.

The invention provides a roadside device and a data processing method in the roadside device. The roadside device specifically comprises a central processing unit (CPU), a radio frequency module and an antenna. The radio frequency module comprises a receiving module and a transmitting module. The antenna further comprises a receiving antenna and a transmitting antenna. The road side device further comprises an integrated circuit chip connected between the CPU and the radio frequency module. The integrated circuit chip comprises a transmitting processing module and a receiving processing module. Data returned by a vehicle-mounted device are received and processed by the receiving processing module through the receiving antenna and the receiving module, and the data received and processed by the receiving processing module are output to the CPU. The data from the CPU enter the transmitting processing module to be transmitted and processed, and the data transmitted and processed by the transmitting processing module are sequentially transmitted to the vehicle-mounted device through the transmitting module and the transmitting antenna. The roadside device and the data processing method can avoid data loss in the transaction process, reduce and save transaction time and improve transaction efficiency accordingly.

The invention discloses a normalizing multiprocessor electric power metering method, which comprises the following steps of: with T seconds as a sampling period, simultaneously sampling and quantifying a voltage to be measured and a current to be measured by a master processor at regular time, to obtain voltage sampled data and current sampled data at a same moment, and calculating a direct-current power p0; and in N slave processors, setting a value of a positive integer K, setting values of N*2k frequencies to successively increase progressively and each to be a positive number no greater than 2pi / T, obtaining estimated frequencies omega11, omega12,..., omega1k, omega21,..., omegaNK using an iterative method, and calculating active powers p11, P12,..., P1K, p21,..., pNK, reactive powers q11, q12,..., q1K, q21,..., qNK, apparent powers s11, s12,..., S1K, S21,..., SNK, and power factors c11, c12,..., c1K, c21,..., cNK. As the iterative method is used to meter the electric power, the normalizing multiprocessor electric power metering method can be directly applied to a computer system and has relatively high precision and relatively fast convergence rate.

The invention provides a detection method for small and dim targets in infrared sequence images. The method comprises the steps that low-dimensional small-data image signals are collected according to a generated random projection space, background suppression and small and dim target information preserving processing are carried out on single-frame sub-images in the collected low-dimensional small-data image signals and the original infrared sequence images according to the mahalanobis distance, a segmentation threshold tau is selected according to the infrared sequence images obtained after the processing is carried out, and the small and dim targets in the infrared sequence images are detected according to the segmentation threshold tau. The invention further provides a detection device for the small and dim targets in the infrared sequence images. According to the detection method, the image processing data size is decreased, the detection flow is simple and easy to achieve, the data operation time is shortened, and meanwhile the real-time detection performance of a related detection system can be remarkably improved.

The invention provides an aircraft maintenance quality analysis oriented QAR (quick access recorder) data preprocessing method and device. The method includes the steps: acquiring a data file of a CSV (comma separated variables) format; acquiring flight information from the data file, and optimizing the parameter items into new parameter items; acquiring parameter values corresponding to the parameter items from the data file, and processing the parameter values; generating a structured QAR database based on the flight information, the new parameter items and the processed parameter values. A universal CSV file processing program is realized, a QAR data preprocessing tool is provided, time for data processing by engineers is reduced, skill requirements on data processing analysts are lowered, efficiency of QAR data processing and analytical application is increased, and further operating efficiency and economic benefit of airlines are increased.

A serving system using a robot may include a caller mounted on each of a plurality of tables, and a robot driving to a target table among the plurality of tables based on information received from the caller, and the robot may store information on the location of each of the plurality of callers, the size and shape of each of the plurality of tables, the location of the caller mounted on the table, and the rotational angle with respect to a baseline of the caller, and the caller may transmit to the robot information on the distance from the caller to the robot and the direction of the robot with respect to the caller during driving of the robot.

The invention discloses an object detection method and device, and relates to the technical field of computers. A specific embodiment of the method comprises the steps of performing voxel processing on a space occupied by point cloud data to divide the space into at least one voxel; for each voxel, obtaining the similarity between the voxel and the target object according to the point cloud information of the voxel and the point cloud information of the preset target object; and taking the target object whose similarity with the voxel satisfies a preset threshold as an object corresponding tothe voxel so as to realize object detection. According to the embodiment of the invention, while the detection precision is improved, the data processing time and resources required by calculation aregreatly reduced, and the safety and reliability of unmanned driving are improved.

The invention relates to a power system feature selection technology, and particularly relates to an associated feature selection method suitable for multiple regulation and control operation scenes of a power grid. Firstly, starting from the perspective of historical actual data of a power system; standardizing and pre-treating the sample; the time series data can be directly brought into analysis calculation and a classifier; researching which characteristic variables may indicate the occurrence of a power system scene; or the typical scene is accompanied by the change of which characteristic variables; constructing a feature alternative set by utilizing the information, then quantitatively calculating correlation degree values between features and a target typical scene by utilizing a grey correlation degree analysis algorithm, sorting the correlation degree values, then setting a reasonable threshold value to obtain a final feature subset, and evaluating the feature subset by utilizing the accuracy of a classifier. The method is beneficial for dispatchers to have better indication when performing related operations, and meanwhile, the data processing time of the power system isreduced, and the data analysis efficiency is improved.

The invention discloses an effective vibration waveform intercepting method based on three-level threshold judgment, and the method comprises the steps: vibration data is acquired, an amplitude average of the vibration data is calculated, and if a signal is caused by large-scale environmental disturbance is judged through comparing the amplitude average of the vibration data and a global threshold; if the signal is a vibration signal is judged through comparing an amplitude of the vibration data and an amplitude threshold T1 of invaded data, and waveform data in certain length before and after the vibration data of the vibration signal is intercepted; fragment division is performed on the intercepted waveform data, vibration energy in each fragment is calculated and smoothed, and if the vibration waveform is effective is judged through comparing the number and threshold of fragment of which vibration energy serially exceeds a fragment vibration energy threshold. According to the invention, a three-level threshold is adopted to judge, misinformation caused by environment is prevented, calculation data volume is reduced, processing time is effectively shortened, and positioning precision of an optical fiber perimeter intrusion monitoring instrument.

The embodiment of the invention discloses a data processing method. The method includes: first data in a database associated with an application in a terminal are obtained; second data are obtained based on the first data, wherein the second data and the first data include the same data and the storage space required by the second data is smaller than the storage space required by the first data;an instruction for opening a preset interface of the application is received; and in response to the instruction, data corresponding to the preset interface are obtained based on the second data and the data are displayed in the preset interface. In addition, the embodiment of the invention also discloses a terminal and a computer-readable storage medium. Therefore, a problem of low data processing efficiency of the terminal in the prior art is solved; the data processing efficiency of the terminal is improved; the data processing time is shortened; and the intelligence of the terminal is improved.

The invention relates to an implementation method for generalization and parallelization of data conversion of a vector network analyzer. By using a virtual function for processing coordinate conversion, the coordinate conversion has uniform processing steps in various graphic formats of the vector network analyzer; if a new graphic format is added, only a new graphic class and a coordinate conversion function thereof are required to be designed, and the integral structure of software is not required to be changed, so that generalization of operation is realized, human intervention for program control is reduced, and the maintainability and the compatibility of the software are greatly improved; the coordinate conversion and graphic drawing are processed in parallel by using multi-thread design; the multiple threads comprise a scanning thread and a drawing thread; and thus, the real-time property of the system is improved.

The invention relates to the field of integrated circuits, and provides a direction navigation method and device based on fingerprint recognition, and a fingerprint image sensor. The method comprisessteps of setting multiple navigation regions in a pixel region of the fingerprint sensor; scanning the navigation regions for many times successively, and correspondingly generating a group of navigation data for each scanning; according to each group of the navigation data, judging pressing states of each navigation region during each scanning; and according to change of the pressing states of the navigation region during the successive scanning, judging the navigation direction and executing navigation instructions. According to the invention, by setting the navigation regions in the sensor,and replacing the software with the hardware in a navigation data position reporting manner, the navigation direction is judged in an image comparison mode, so judgment of the navigation direction isachieved quite rapidly and precisely and precise calculation of finger sliding speed is achieved.

The invention relates to a commodity recommendation method and device, computer equipment and a storage medium. The method comprises the steps: responding to a user login operation, identifying user identity information, sending the user identity information to a server, obtaining commodity display page configuration data fed back by the server according to the user identity information, and pushing a pre-recommended commodity according to the commodity display page configuration data when a commodity display page viewing operation is received, the commodity display page configuration data comprising pre-recommended commodity information, and the pre-recommended commodity information being determined by historical order data inquired by the server according to the user identity informationand a preset commodity recommendation rule. By adopting the method, pre-loading of the pre-recommended commodity can be realized, so that the pre-recommended commodity can be displayed immediately while the terminal jumps to the commodity display page, the blank waiting time for a user to check the recommended commodity is reduced, and the timeliness of commodity recommendation is improved.

The invention discloses a method for interlinking dynamic data of a television image-text scene file. The method particularly comprises the steps of receiving the television image-text scene file; obtaining receiving area information according to an internet protocol (IP) address from which the television image-text scene file is received; receiving a database file, matching database area information according to the receiving area information, and obtaining matched area information; establishing an index according to the matched area information in the database file, and obtaining area data corresponding to the matched area information; and playing television image-text scenes according to the area data by the television image-text scene file. According to the method, external data are screened through identification of local addresses, and local data are displayed. A terminal screens the local data in the remote database file according to IP address information of the terminal and relevant information, the data obtained by screening can effectively guarantee the validity of the local data, can reduce the handling capacity of the local data and can improve the utilization ratio of the system simultaneously.

The invention relates to the technical field of natural language processing, in particular to a sequence labeling method, device and equipment and a readable storage medium. The method is used for improving the accuracy of sequence labeling. The method comprises the following steps of: aiming at each segmented word contained in the to-be-identified statement, adopting a pre-trained character vector generation model and a preset word vector generation model to generate a first word vector and a second word vector corresponding to a segmented word are generated respectively, adopting a pre-trained weight coefficient and using the first word vector and the second word vector to generate a third word vector corresponding to the segmented word, and then adopting a pre-trained sequence labelingmodel to generate a sequence labeling result. Therefore, the word vectors are fused by adopting the pre-trained weight coefficient, and the third word vector generated by fusion is used as the input of the sequence labeling model, so that the processing process of sequence labeling is optimized, and the accuracy and the processing efficiency of sequence labeling are improved.

The invention relates to a target identification method based on interferogram matching. The method includes the steps of firstly, establishing an expected target interferogram database; secondly, acquiring a target interferogram to be identified; and thirdly, identifying the target interferogram to be identified, which is obtained in the step 2, and the expected target interferogram database established in the step 1 to identify a target to be identified. The target identification method based on interferogram matching is high in identification speed and can identify the target.

The invention discloses a method and a mobile terminal for information processing. The mobile terminal comprises a first hardware system and a first operating system installed based on the first hardware system, wherein the mobile terminal is internally provided with bus interfaces; when the first operating system in the mobile terminal needs to process a first calculating task, it is detected whether the mobile terminal is connected with N hardware resources through the bus interfaces, wherein each hardware resource in the N hardware resources at least corresponds to one function, and N is an integer being not less than 1; when the mobile terminal is connected with the N hardware resources through the bus interfaces, the first calculating task is processed through the first operating system at least based on one hardware resource in the N hardware resources.