176results about How to "Good computing power" patented technology

Disclosed is a decomposition calculating method of the optimal power flow of a power system with a unified power flow controller. The method is characterized by comprising the following steps of firstly obtaining steady-state operating parameters required by the power flow calculation of the power system; secondly, determining the mounting position and the control parameter range of the unified power flow controller; thirdly, based on network equivalence, equalizing the branches of the unified power flow controller to two PQ nodes containing control targets; fourthly, utilizing taboo research to perform multiple optimal power flow calculation to determine an active control target of the unified power flow controller; and fifthly, calculating the control parameters according to the obtained control target of the unified power flow controller and the operation state of the system. The decomposition calculating method of the optimal power flow system with the unified power flow controller can equivalently decompose the optimal power flow calculation problem of the power system with the unified power flow controller into a two-layer optimization problem through network, can perform the optimal power flow calculation of the power system more effectively and more reliably, and has engineering use value.

The invention discloses an SLAM-based visual perception mapping algorithm and a mobile robot. The algorithm comprises the steps of obtaining image data of a to-be-mapped area environment and rotatingspeed data of a driving wheel; performing feature extraction on a color image in the image data; after the rotating speed data is calculated and processed according to a kinematics equation, fusing and optimizing the rotating speed data and a depth image in the image data by using a method of minimizing an encoder and a re-projection error to obtain a current frame pose of the robot; screening current frame image data acquired when a robot walks in a to-be-mapped area to obtain a key frame, identifying and classifying objects in an environment by utilizing a color image of the key frame, deleting the classified dynamic objects from the key frame, carrying out sparse processing on static objects, and carrying out local loopback for correction; taking pixel points of the color image and thecorresponding depth image in the key frame as map points, storing the map points through an octree, and carrying out mapping.

The invention relates to a coprocessor based on a reconfigurable computational array. The coprocessor comprises a main controller which receives control information sent by an external universal processor, then analyzes the control information and sends out a corresponding configuration instruction, a reconfiguration controller which sends out the configuration information according to an algorithm parameter in the configuration instruction, an operation core unit which receives the configuration information and completes basic computation such as complex multiplication, complex addition and real multiplication, and a DMA unit which receives a transmission parameter of the configuration instruction and carries out data among an external DDR, an internal storage module and the main controller, wherein the configuration instruction comprises the transmission parameter and the algorithm parameter, and the configuration information comprises an execution signal used for selecting and organizing a logic algorithm in the operation core unit and an internal network gating signal. The coprocessor has the advantages of being good in computing performance and small in area consumption.

The invention discloses an intelligent underwater robot. The intelligent underwater robot comprises a communication module, an image obtaining module, an object identification module, a control module, a space construction module and an execution module; the communication module receives a control command of a remote control terminal; the image obtaining module obtains an underwater environment image; the object identification module identifies underwater objects and barriers from the underwater environment image on the basis of a first deep neural network model; according to identified underwater objects, the control module determines whether there is a target object, and if YES, a pixel coordinate of the target object is obtained; the space construction module processes the underwater environment image on the basis of a second deep neural network model, constructs an underwater environment 3D space of the present position of the underwater robot, and determines position information of the target object; the control module further plans a movement path for tracking the target object of the underwater robot according to the constructed 3D space as well as a preset tracking mode; and the execution module controls the underwater robot to move underwater according to the planned movement path. Thus, the target object is tracked and the barriers are avoided.

The invention discloses an automobile interior acoustic field prediction method based on a partition-of-unity finite element-meshless cell. The method comprises the steps of utilizing an automobile interior air acoustic cavity mesh model, defining the cell node support region of the automobile interior air acoustic cavity mesh model by use of the relation of a layer of connected nodes, constructing a local approximation function by use of a radial point interpolation method within the node support region of the automobile interior air acoustic cavity mesh model, and meanwhile, performing approximation by use of an isoparametric element shape function within the global mesh range of the automobile interior acoustic cavity, constructing a shape function and the gradient thereof at a Gauss integral point of the automobile interior acoustic cavity model in an isoparametric element integration manner, constructing the Galerkin weak-form of an acoustic equation of automobile interior acoustic cavity problems to obtain the system equation of the automobile interior acoustic cavity mesh model, thereby predicting the modal frequency and the mode of vibration of the automobile interior acoustic cavity, and meanwhile, predicting the acoustic response of the automobile interior acoustic cavity under the excitation of an engine and assessing the calculation results. The automobile interior acoustic field prediction method based on the partition-of-unity finite element-meshless cell is capable of obtaining better calculation results than a finite element method in the automobile interior acoustic cavity vibration noise prediction problem.

The invention provides an expanded ellipsoid set-membership filtering method based on Chebyshev interpolation polynomial approximation. According to the expanded ellipsoid set-membership filtering method, the problems of complexness in computation and low efficiency and computational accuracy in a method based on Taylor-series linear approximation are solved. The expanded ellipsoid set-membership filtering method comprises the following steps: establishing a nonlinear strapdown inertial navigation system equation and an observation equation; computing an indeterminate interval of a system state parameter component of a (k-1) step; carrying out Chebyshev polynomial approximation computation on the nonlinear equation and the observation equation of the inertial navigation system; computing an error boundary of the Chebyshev polynomial approximation computation, so as to acquire outsourcing ellipsoids of the Chebyshev interpolation polynomial approximation computation errors of the nonlinear system equation and the observation equation; and by virtue of a linear ellipsoid set-membership filtering method, computing and predicting an ellipsoid boundary of a state variable, updating a computation state ellipsoid boundary, computing an estimation value of a state parameter variable of a k step, and estimating variance matrix. The expanded ellipsoid set-membership filtering method has the beneficial effects that a computational accuracy is relatively high, the computational complexness of an algorithm is reduced, and the computational stability of the expanded ellipsoid set-membership filtering method is effectively guaranteed.

The invention relates to a vehicle form and position detection system and method based on contour scanning. The system comprises a vehicle number identification module, a speed measuring module, a laser contourgraph, a gantry, and a processing system. In addition, the method comprises the following steps that: a laser contourgraph performs contour scanning on a vehicle running on a track and calculates a 3D point cloud image through a laser image and a vehicle speed; vehicle information is matched in a database based on a vehicle number to obtain a standard 3D point cloud map; and after comparison of the point cloud images, the appearance size and external parts of the vehicle are detected. According to the invention, with a laser scanning vehicle, adaptability to the hostile environment is enhanced and the strong anti-interference ability is high. The provided method is a non-contact detection method not affecting the running of equipment. With the 3D point cloud calculation, all sizes can be measured and the sensor is convenient to mount. With the three-dimensional matching technology, the recognition accuracy is improved. The overall size of the vehicle and external parts of thevehicle can be detected simultaneously, so that the cost is saved; and the operation capability is optimized by the algorithm and the work efficiency is improved.

The invention provides a satellite navigation system-based gridded accurate positioning service method and system. With the satellite navigation system-based gridded accurate positioning service method and system adopted, the technical problem of limited user carrying capacity which is caused by a condition that existing accurate positioning services are limited by hardware resources can be solved. The method includes the following steps that: virtual reference stations are set according to grid vertexes formed by a reference station, and the periodic virtual observation data of the virtual reference stations are formed according to the real-time observation data of the reference station, and the virtual observation data are cached; and a user positioning request is responded, a determinedvirtual reference station is obtained according to relevancy between the virtual reference stations and a user position, and the virtual observation data of the determined virtual reference station are fed back to a user. According to the method and system of the invention, the continuous virtual observation data of all the virtual reference stations are actively formed in a precise positioning area through dynamic gridding so as to form unified differential information resources in a service area; and therefore, a user response process in the prior art is improved, the network gridding dynamic update calculation of the VRS (Virtual Reference Station) is realized; and the calculation capacity of a platform is optimized to the greatest extent.

The invention discloses a multi-source self-adaptive fault-tolerant federated filtering integrated navigation system and a navigation method. The system comprises a strapdown inertial navigation system, a satellite navigation system, a Doppler velocity measurement system, a celestial navigation system, and a main filter and three sub-filters that are in information connection with the systems respectively; the three sub-filters are all in information connection with the strapdown inertial navigation system, and are connected to the main filter through a fault detection and isolation module, the strapdown inertial navigation system is connected to the fault detection and isolation module through a state transmitter, and an output result of the fault detection and isolation module passes through an information sharing factor calculation module, then the calculation result is input into the main filter; and the main filter outputs the fused information and synchronizes a fusion result tothe three sub-filters and the state transmitter. According to the system and the method disclosed by the invention, the state of each sub-filter can be tracked more accurately, and a more precise fusion result can be obtained.

The embodiment of the invention discloses a distributed data computing method, device, computer equipment and a readable storage medium. The method comprises steps: event messages generated accordingto preset rules are sequentially stored in a message queue of a message middleware; according to a first preset rule, a plurality of message events in the message queue are read sequentially and are transmitted to an Ignite task manager; the Ignite task manager is controlled to count the number of idle threads in each application server in a server cluster, so as to determine the application server with the maximum idle threads as a target server, wherein the server cluster comprises a plurality of application servers, and each application server comprises a plurality of threads; and the Ignite task manager is controlled to transmit the plurality of received message events to the determined target server to perform corresponding data calculation. Computing tasks can be dynamically allocated, computing resources are ensured to be used more efficiently, and the most efficient computing performance is provided.

The invention discloses a complex moving target ISAR imaging method based on a quasi-time-frequency bilinear coherence algorithm, and the method comprises the following steps: obtaining the echo dataof a target, and carrying out the distance compression and translation compensation of an echo signal; extracting data from the signal along the distance direction, and calculating an improved cubic phase function MCPF of an extraction result; performing Radon-CPF-Fourier transform on the MCPF, and obtaining a three-dimensional data matrix in a Doppler center-polar radius-polar angle domain; and projecting the three-dimensional data matrix to a Doppler central axis along a polar radius and a polar angle, and generating a final high-resolution inverse synthetic aperture radar (ISAR) image by recombining all distance-Doppler centers. According to the method, the cross term interference suppression of a cubic phase function can be realized under the condition of no time-frequency resolution loss, the signal gain is improved, the calculation performance is improved, and a clear maneuvering target ISAR image is obtained.

The invention discloses a channel parameter estimation method based on an improved SAGE algorithm. The method comprises the steps of processing receiving signals by use of a continuous interference elimination principle and carrying out initialization estimation by use of an incoherent maximum likelihood estimation method; synthesizing initialized parameter results into simulated receiving signals; defining the difference between the original receiving signals and the obtained simulated receiving signals as an Euclidean distance, and calculating a partial interference factor by assuming that the Euclidean distance is the minimum; substituting the partial interference factor into a corresponding formula, processing the receiving signal by use of a partial interference elimination mode, and obtaining a final initialization result by use of the incoherent maximum likelihood estimation method; calculating a Z function, substituting the final initialization result into the corresponding formula, carrying out iteration update, and finding a point which enables the value of the Z function to be maximum as a reference estimation result. According to the method provided by the invention, the calculation precision is high; under the condition that the integral convergence performance is improved, the channel features of actual channels can be estimated relatively accurately; the calculation effect is good; and the defects in the prior art are solved.

The invention relates to a decomposition-based multi-objective distribution estimation optimization method. The method includes the following steps that: 1) an external population (EP) is initialized to be empty; 2) a group of weight vectors is initialized; 3) the weight vectors are utilized to decompose an original multi-objective optimization problem into a plurality of single-objective optimization sub problems; 4) probability vectors are utilized to model for each decomposed sub problem; 5) each single-objective problem is optimized through randomly sampling the probability vectors, so that new solutions can be generated; and 6) all calculated new solutions are saved to the EP, and whether a termination condition is satisfied is judged, if the termination condition is not satisfied, the method returns to step 3), if the termination condition is satisfied, the method stops, optimal solutions in all the sub problems can be obtained.

The invention provides a speckle manufacturing method based on a transfer print technology. The method includes the steps that the size, the number, the deformation and other parameters of speckles are input through computer software, so that two or more pairs of speckle images are generated; digital speckle correlation operation is performed on all the speckle images through the software, and the speckle image highest in speckle matching degree is selected according to the calculation result; the selected speckle image is printed; the speckle image is cropped according to the size of an object to be detected; the speckle image is arranged on the surface of the object to be detected in a transfer print mode through the transfer print technology, so that the object, to be detected, including the selected speckle image is obtained. The speckle manufacturing method has the advantages of being easy and rapid to manufacture, convenient to operate, high in precision, low in price and wide in application range.

The invention provides a forecasting method for vehicle body structure-acoustic coupling based on a smoothed finite element boundary element method. The method comprises the following steps: generating a vehicle body structure-acoustic grid model; utilizing the smoothed finite element method to perform smooth processing on the stress field in a shell unit; adopting a mixed integral method to perform separate integral of shearing items subjected to shearing strain in the shell under a natural coordinate system; building a smooth Galerkin weak form of a vehicle body shell structure kinetic equation, and obtaining a dynamic equation after the weak form is subjected to discrete processing; creating an acoustic realistic model by using the boundary element method; according to the continuous displacement and pressure of the coupling interface, obtaining a structure-acoustic coupled smoothed finite element boundary element model; performing simulation forecasting by utilizing the coupled model. When the method is used for solving the vehicle body structure-acoustic coupling problem, relatively good calculation effect can be obtained, and the band frequency width can be analyzed more effectively. Moreover, the method has relatively low quality requirements on the model to reduce the pretreatment time, and has a wide engineering application prospect.

The invention discloses an English word relevancy calculating method and device based on Wikipedia concept vectors. The method comprises the steps that 1, a Wikipedia Dump service site obtains raw linguistic data and performs standardized processing to generate a Wikipedia basic corpus; 2, concept labeling and extension are performed, and a Wikipedia concept corpus is established; 3, according to the Wikipedia concept corpus, the concept vectors are trained; 4, for word pairs to be compared, a word concept set is obtained according to Wikipedia; 5, the similarity of the concept vector corresponding to each concept in Cartesian products of the concept set is calculated, and a maximum value is taken as the relevancy of the word pairs to be compared. By utilizing the method, word concept information contained by Wikipedia can be fully mined to generate word concept vectors, and word relevancy can be more accurately and effectively calculated.

The invention provides a three-dimensional face and eyeball movement modeling and capturing method and system, and the method comprises the steps: firstly extracting the position information of a feature point of a face in a shot scene image, and obtaining the information through employing a convolutional neural network method; after sparse facial feature points are obtained, a multilinear model of a human face serving as a prior condition of the model, the positions of the feature points detected on the image serving as observation results, and designing a maximum posteriori framework to optimize and solve the geometrical shape and posture of the human face in the image; aiming at the movement of a three-dimensional eyeball, using sparse two-dimensional feature points for obtaining an eyearea image block through cutout, achieving alignment of the image block through position information of the feature points, further marking the areas of an iris and a pupil, and reconstructing the eyeball movement in real time through an analysis method based on synthesis; in combination with the expression parameters obtained in the previous step, combining facial expression motion with eyeballmotion to obtain a complete facial expression animation.

The present invention discloses a traffic distribution correction method in a condition of tail number traffic control. The method comprises eight steps: obtaining the newest urban basic road network information, obtaining an initial road right table for traffic distribution, obtaining traffic zone information for traffic distribution, obtaining the newest traveling mode OD distribution matrix of a city, obtaining a vehicle tail number traffic control scheme for test, determining the proportion of two OD distribution matrixes for traffic distribution, performing multi-path-capacity limitation iteration traffic distribution, and outputting vehicle traffic volume distributed to each road section in the tail traffic control scheme. The traffic distribution correction method in condition of the tail number traffic control fully considers the national current vehicle tail number traffic control scheme to take the number of the limited vehicle tail numbers as the basis, divide the travelling mode OD distribution matrixes limited by tail numbers into unlimited tail number portion and a limited tail number portion and perform traffic distribution. The traffic distribution correction method in condition of tail number traffic control can be used for quantification test of vehicle tail number traffic control strategy enforcement effect in the urban virtual traffic test platform.

The invention provides an MMC converter valve control device based on a flexible DC power transmission and a control method. The MMC converter valve control device comprises three-stage control systems, and the three-stage control systems respectively are a first-stage control system, a second-stage control system and a third-stage control system; the first-stage control system comprises a main-control box A, an interface box A, a main-control box B and an interface box B; the second-stage control system comprises an operational box A, an operational box B and a recording and broadcasting box; and the third-stage control system comprises a plurality of pulse boxes. The MMC converter valve control device is advantageous in that, as follows, the converter valve control device has the excellent communication and operation abilities and can very rapidly control working states of a large number of sub modules SMs; furthermore, the converter valve control device has the advantage of flexible configuration and can assemble boxes flexibly according to different engineering needs; and the converter valve control device has the advantages of good expansibility and high reliability.

The invention relates to the technical field of electric power equipment operation and maintenance management, and particularly relates to an electric power equipment state monitoring and evaluation and command system which comprises a panoramic data integration module, an equipment state health archive module, an equipment state monitoring module, an equipment operation and maintenance managementand control module, a data mining analysis module and a production command driving cabin module. The electric power equipment state monitoring and evaluation and command system has the advantages that access control, secondary data processing, unified modeling and storage can be carried out on accessed panoramic data by the panoramic data integration module, so that accurate and reliable data access can be guaranteed, and the electric power equipment state monitoring and evaluation and command system is excellent in retrieval and computational performance; data support service can be providedto follow-up equipment state monitoring and evaluation and production command by the equipment state health archive module; electric power equipment states can be monitored, evaluated and analyzed bythe equipment state monitoring module, the equipment operation and maintenance management and control module and the data mining analysis module on the basis of stored equipment state data, and accordingly intelligent support can be provided to accurately mastering equipment states, risk information and safety operation.

The invention relates to the technical field of responsibility calculation for power quality harmonics, in particular to a harmonic responsibility dividing model and a harmonic responsibility calculation method. The method includes the step of calculating the harmonic responsibility of each user on a bus by solving the equivalent harmonic impedance and the background harmonic voltage. The maximumlikelihood estimation method is adopted in the equivalent harmonic impedance, so that the obtained result is high in precision and calculation effect, the harmonic responsibility of each user on the bus can be accurately calculated, and the method is suitable for popularization.

The present invention relates to coding and storage of phonetic features in order to search for strings of characters, whereby it is applied in particular to searching for a variety of names, identifiers, denotations and other character strings in a database. This is achieved by a method and system for coding and storing phonetic information representable as an original character sequence in which the phonetic information is coded in a bit code which does not comprise any characters. In some embodiments, tables are used and which comprise character groups that are found empirically and reflect the specific phonetics and method of spelling a name adapted to the actual language in use. This enables efficient coding of phonetic features associated with said groups and provides for adapting the coding method of the present invention to a plurality of different languages.

The invention discloses a three-dimensional video communication method, a three-dimensional video communication system, an electronic device, a server, and a nonvolatile computer readable storage medium. The three-dimensional video communication method comprises the following steps: acquiring a multi-frame two-dimensional image and / or a multi-frame depth image of a current scenario, and transmitting the multi-frame two-dimensional image and / or the multi-frame depth image to a server, the server being used for generating a multi-frame three-dimensional image according to the multi-frame two-dimensional image and / or the multi-frame depth image and transmitting the multi-frame three-dimensional image to terminal equipment. The three-dimensional video communication method, the three-dimensional video communication system, the electronic device, the server and the nonvolatile computer readable storage medium in the implementation manner of the invention can realize transmission of a three-dimensional video, the terminal equipment may view a three-dimensional video effect, the user experience is better, and the calculation of a three-dimensional image is performed by the server, so thatthe data processing amount and power consumption of the electronic device are reduced, and the time of image processing is also reduced, which facilitates shortening of the delay in a video communication process.

The invention provides a pipeline pressure real-time monitoring device. The current signals of a pipeline pressure sensor, a flow sensor and a temperature sensor are adjusted to the voltage signals via a signal adjusting circuit. The voltage signals pass through a multi-access electronic switch and a sampling maintaining circuit and are converted by an A / D conversion circuit. A microprocessor collects the digital signals periodically as well as records and stores calendar time information, flow information and temperature information completely in an EEPROM (Electrically Erasable Programable Read-Only Memory) and then transmits the data in the EEPROM through level conversation and communication network by a UART (Universal Asynchronous Receier / Transmitter) module to a host computer or a remote monitoring centre in real time. The invention solves the problems that data collection of the traditional pipeline leakage monitoring system has low resolution, low reliability and poor robustness and has the characteristics of small amount of construction, low cost and convenient installation and maintenance on the premise that the precision and the real-time pressure signal collection are satisfied.

The invention discloses a particle flow simulation method. The particle flow simulation method includes the steps that particle information is generated according to particle modeling information input by a client side, and geometry information is generated; the particle information and the geometry information are received, which GPU in which calculation nodes are determined to be used according to the number of particles and the number of unoccupied GPU in all the calculation nodes, then which particles calculated by which GPU of which node are determined according to the determined number of the GPU and the distribution condition of the particles in the space, and distribution is carried out according to the determined result; stress, caused by particle impact, on each particle is calculated in multiple GPU in parallel, then accelerated speed is calculated to simulate particle flow; the simulation result is displayed. According to the embodiment, high-density particle virtual experiment simulation can be achieved, computation efficiency is improved while energy consumption is reduced.

The invention discloses a bidirectional authentication method for a card reader and a label in an RFID (radio frequency identification device) system. Before the card reader reads card data, the card reader needs to authenticate validity of a card; similarly, the card authenticates the validity of the card reader; only when the both parties are valid, the card reader can read the card information, and the card permits the card reader to read the information thereof. By virtue of the method, the security of the RFID system can be effectively ensured.

The invention relates to a universal modular parallel coupling system adopting an earth system model and belongs to the scientific and technical field of earth systems. The system comprises a configuration information subsystem, a coupling generation subsystem, an earth system model runtime subsystem and a user interface subsystem, wherein the user interface subsystem is connected with an earth system model component and connected with an earth system model component configuration information module through the coupling generation subsystem; an earth system model use case configuration information module is connected with the earth system model component configuration information module and also connected with the user interface subsystem through the coupling generation subsystem; the earth system model use case configuration information module is connected with an earth system model runtime configuration information module through the coupling generation subsystem; and the earth system model runtime configuration information module is connected with the earth system model runtime subsystem. The system has the characteristics of modular structure, friendly user interface, good universality, good maintainability, high coupling efficiency, and the like.

The embodiment of the invention discloses a method and a device for calculating the weight of a segmented word item, which are used for accurately predicting the weight of each segmented word item ina query word. The embodiment of the invention provides a segmented word item weight calculation method, which comprises the following steps: carrying out word vector training by using text corpus andhistorical query words to obtain word vectors of the historical query words, and obtaining the historical query words through historical search data; taking The word vectors of the historical query words as features; on the basis of historical behavior data and a target value calculated by a recall result obtained by searching historical query words, training a plurality of segmented word item weights depending on the historical query words by using a machine learning algorithm, and ending the training when the error is minimum or the iteration frequency reaches a frequency threshold value; And using the machine learning algorithm to calculate the weights of the word segmentation items of the target query word, and outputting weight values of a plurality of word segmentation items depending on the target query word.