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 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 discloses a SoC_FPGA-based flexible intelligent machine vision detection system. A SoC_FPGA serves as a central processing unit, and the SoC_FPGA is integrated with a power module, a clock module, an image sensor, a storage system, a power monitor, an I/O, and a transmission module. The SoC_FPGA comprises an HPS and an FPGA, and is integrated with an ARM hard core processor, a DSP and an FPGA. A programmable logic and a DRAM controller in the FPGA architecture form an image acquisition module used for acquiring and storing images. The programmable logic, a DSP module and an RAM module in the FPGA architecture form a custom accelerator used for image processing operation. The ARM hard core processor is loaded with an embedded operating system and a user program to manage hardware resources of the system. The machine vision detection system achieves high degree of integration and low cost.

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 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 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 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.

Disclosed herein, a new concept of numeral created from alphabet is able to apply in education, telecommunication, computer and toy industry. For the sake of applicability, the present invention provides substitution methods where alphabet is replaced to the corresponding arabic numeral by similarity in shape, similar pronunciation with numbers, similarity in Roman and Chinese. In education, alphabetic language (English, French, Spanish) learners can calculate words and sentences in mathematics (abacus calculation, mental arithmetic, calculation), and learn words and sentences of languages in detail. Math (abacus calculation, mental arithmetic, calculation) learners can study alphabetic languages (English, French, Spanish) not in a tedious repetition of calculation but in a mathematical learning process. In telecommunication and computer industry, for instant input of letters, the alphabet letters are arranged to the corresponding numeral keys by similarity between alphabet and arabic numeral, and the number key, which reminds letters, is pushed designated times to input accordingly. In toy industry, diverse educational toys can be manufactured to learn substitution methods proposed in the disclosed herein.

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 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 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.