37 results about "Matrix expression" patented technology

The invention relates to the technical field of unmanned ship navigation control, and discloses an unmanned ship navigation state control method and system based on intelligent perception. Navigation environment information of multi-dimensional data is obtained, a multi-dimensional data fusion technology is adopted for construction of an environment state matrix, and discrete environment elements are converted into structured matrix expression. In the initial path generation stage, data acquisition value evaluation is fused, obstacle avoidance requirements are considered, and a high-value detection area is actively covered. In the path correction stage, a multi-objective cost function including energy consumption, threat degree and path length is constructed, and real-time path optimization in a dynamic environment is realized. In the propulsion control link, propulsion force and rudder angle parameters are calculated by integrating the attitude, the ship speed and the ocean current speed of the unmanned ship. According to the method, the contradiction among the real-time performance of dynamic obstacle avoidance, the data acquisition efficiency and the energy consumption optimization is solved through the cooperation of global-local double-layer path planning and the control of the propulsive force and the rudder angle of the unmanned ship.

The invention provides a matrix type data layering intelligent management system, and belongs to the technical field of social media marketing intellectualization. The system comprises a multi-source data acquisition module, a data matrix construction module, a hierarchical processing and scheduling module, an intelligent portrait generation module and a multi-version content generation module, the multi-source data acquisition module can acquire multi-platform historical interaction data of a user, and outputs standardized original data through preprocessing; and the data matrix construction module classifies the standardized data, scores the values of the data units, matches grades, and constructs a data matrix in combination with attributes. And the hierarchical processing and scheduling module selects a basic strategy based on a matrix, performs differential adjustment according to value levels, and outputs processed data. The intelligent portrait generation module can generate a user portrait based on the processed data. And the multi-version content generation module can screen out screened high-value data and generate multi-version adaptive content in combination with the portrait. According to the system, the data management efficiency, the portrait accuracy and the content adaptability can be improved.

The invention discloses a computing power resource scheduling management system based on multi-source heterogeneity, and relates to the technical field of computing power management, and the system builds a multi-source heterogeneity data collection point in a multi-unmanned aerial vehicle cooperative monitoring system through a task space-time migration matrix construction module, and collects space-time data in real time. A standardized space-time migration parameter set is extracted through a transmission processing unit, and a task space-time migration matrix Tso is constructed. The task space-time offset matrix Tso realizes the unified matrix expression of multi-source space-time data, so that the time difference, spatial drift and signal credibility of asynchronous sampling nodes are quantified in a computable and differentiable manner. Compared with an existing system depending on synchronous sampling or simple time calibration, the method has the advantages that the data calibration precision in an asynchronous sampling environment is remarkably improved through matrix offset expression, error accumulation caused by cross-node delay inequality is reduced, and accurate data alignment and feature fusion can be realized under the condition that nodes are not completely synchronized.

The invention discloses a carbon emission comprehensive evaluation method and system for matrix type flue gas flow measurement, and the method comprises the steps: collecting multi-source time sequence data of a matrix type flow sensor, and carrying out the preprocessing of the multi-source time sequence data to generate matrix type time sequence flow data; calculating flow velocity vector time sequence data through an optical flow estimation algorithm; performing empirical mode decomposition to obtain an intrinsic mode function component and a residual component; performing spatial alignment and correlation analysis, and extracting multi-scale flow characteristic data; evaluating the carbon emission according to a carbon emission rule in combination with the characteristic data; and detecting abnormity, and outputting carbon emission abnormity early warning and working condition response. According to the invention, total cross-section dynamic measurement and high-precision carbon emission comprehensive evaluation of industrial flue gas flow are realized, and an abnormal real-time early warning function is realized.

The application discloses a holographic optical tweezers potential well stiffness phase control method, device and system, the method comprises the following steps: calculating the decomposition matrix formula, matrix expression and Hermite matrix expression according to the input system configuration parameters, expanding the stiffness coefficient of the optical trap through the Hermite matrix expression to obtain the stiffness coefficient expansion expression, optimizing the phase of the spatial light modulator based on the pixel symmetry rule to obtain the optimized phase value, generating the control instruction through the optimized phase value and sending it to the spatial light modulator, and recalculating the coefficient value of the stiffness coefficient expansion expression, if the coefficient value or the optimization times meet the iterative optimization condition, return to execute the phase optimization step of the spatial light modulator. The above-mentioned phase control method can solve the Hermite matrix expression and the stiffness coefficient expansion expression according to the system configuration parameters, generate the control instruction to modulate the phase of the light beam, and improve the application effect of the phase of the potential well stiffness through phase iterative optimization.

An energy efficiency optimization control method for a single-stage isolation matrix converter is proposed. This method calculates the input current vector magnitude of a three-phase single-stage isolation matrix AC-DC converter, derives the duty cycle expression, minimizes the current stress in the three-phase single-stage isolation matrix AC-DC converter, achieves soft switching, derives the full-bridge phase shift angle expression based on the per-unit value of the input current, designs a single-loop voltage control circuit, does not sample the input current, achieves unity power factor, and keeps the input current sinusoidal.

1. The name of the design product: matrix concentrator. 2. The use of the design product: used as a device for connecting multiple mobile devices to perform matrix control on mobile devices. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective view.

1. Name of the designed product: Matrix detector (X-ray). 2. Use of the designed product: used for taking pictures of the measured object. 3. Design points of the designed product: in shape. 4. Picture or photo best showing the design points: perspective view.

The invention discloses an unequal-length iterative learning control optimization method for a robot impedance control system, and relates to the field of robot control, and the method comprises the steps: building a high-dimensional linear state space model capable of describing nonlinear dynamic characteristics based on a Koopman operator theory; based on the model, an approximate linear repetitive process model of the robot impedance control system is further constructed, and an input and output matrix expression form of a time sequence is obtained through a lifting technology. For the unequal-length problem, a prediction compensation method is used, missing information caused by the unequal-length problem is predicted, and the track length is adjusted to the expected length. Under a norm optimization framework, the performance of future batches is considered, a predictive iterative learning control algorithm is designed, and finally the predictive iterative learning control algorithm is applied to an actual robot impedance control system. Control input obtained through the method can better adapt to an original nonlinear system, and high-precision tracking control over an expected trajectory is basically achieved.

The application relates to an entropy value-based power material relationship graph drawing and demand prediction method and system, which comprises the following steps: collecting power material data in a project set, performing graph structuring, and obtaining an initial material relationship graph; quantifying the initial material relationship graph based on the initial material relationship graph by adopting a matrix expression method, and further adopting an associated material grouping algorithm to perform associated material grouping; calculating the entropy value of the quantized initial material relationship graph based on the associated material grouping result, and removing noise points based on the maximum entropy reduction noise reduction principle to obtain a final material relationship graph; and predicting a material demand quantity interval based on the material relationship graph. Compared with the prior art, the application has the advantages of improving the relationship graph drawing speed and quality and the like.

The invention belongs to the technical field of material science foundation, and discloses a single twinborn system dominated twinborn transmission probability prediction method. According to the method, aiming at the condition that a single twin system is started preferentially under specific texture and force field conditions, the uniqueness of the twin system is limited and activated, and a three-dimensional matrix expression system of specific twin system spatial orientation is constructed. And based on a judgment rule that twin crystal faces and twin directions of the two crystal grains are parallel, calculating the minimum orientation difference capable of realizing parallel twin systems among the crystal grains. According to the method, the twinborn orientation difference is provided as a key physical quantity for quantifying the twinborn transmission capability, and the regulation and control mechanism of single twinborn system activation on local stress redistribution is disclosed by eliminating the interference of a non-activated twinborn system. The method is applicable to a twin-dominated deformation system at low temperature or high strain rate, and provides a micromechanical basis for optimizing strain coordination at the grain boundary.

The present invention relates to the technical field of electronic device simulation, and discloses a method and system for electromagnetic transient simulation of a grid-type converter. Based on the resistance and inductance filter data and current control loop data of the grid-type converter, an admittance-based transfer matrix equation is established in the Laplace domain to construct an average value model; based on the trapezoidal integration rule, the transfer matrix equation is converted from the Laplace domain to the discrete domain to obtain a discretized admittance equation of the grid-type converter, and the discretized admittance equation is inversely discretized to obtain a time-domain discretized admittance equation of the grid-type converter; the average value model is converted into a dual-impedance form to obtain a dual-impedance equation, and based on the dual-impedance equation and the time-domain discretized admittance equation, an equivalent Thevenin impedance matrix of the grid-type converter is obtained; and based on the equivalent Thevenin impedance matrix expression, electromagnetic transient simulation of the grid-type converter is realized. The method of the present application improves the accuracy of the simulation results.

This application provides a curve fitting method, apparatus, electronic device, and storage medium. The method, applied in the field of path planning technology, includes: determining each path point to be fitted and the velocity corresponding to a target path point; determining a first node vector corresponding to a non-uniform B-spline curve to be fitted based on each path point; determining control points of the non-uniform B-spline curve based on the path points to be fitted, the aforementioned velocities, and the matrix expression corresponding to the non-uniform B-spline curve; the matrix expression describes the correspondence between the control points of the non-uniform B-spline curve, the path points to be fitted, and the velocities corresponding to the target path points; determining each fitting point on the non-uniform B-spline curve based on the control points and the first node vector; and determining the fitted non-uniform B-spline curve based on each fitting point. This method can improve the path fitting effect and reduce fitting error.

1. Name of the product in this design: Matrix Display. 2. Purpose of this design: This design is used to display liquid level. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: a 3D model.

The invention provides a visual programming game console based on matrix input and output and a knob encoder, and relates to the technical field of electronic game development, and the visual programming game console comprises a visual programming platform which comprises a graphical programming interface used for game development at a Web end, and game logic is constructed by dragging a graphical module; after the server side receives the game logic data, the game logic data is automatically compiled into a bin file capable of running on the hardware side; according to the method, a Web end visual programming platform is arranged, an OpenBlock graphical module is used for replacing traditional codes, and a user can design game logic and simulate and debug on the Web end by dragging. The server can automatically compile codes into bin files and send the bin files to the equipment end, grammar obstacles are eliminated, the storage problem is solved through integrated hardware design, programmable input and output equipment capable of being flexibly configured is arranged, the game playability is improved, and the system is suitable for multi-age users and education scenes.

The invention discloses a node position sensing method under a Mesh network based on satellites, and belongs to the technical field of node position sensing, and the method comprises a node position sensing step under the condition that all nodes can receive satellite signals: obtaining an observation equation of the nodes in the Mesh network about a Beidou satellite pseudo-range, and carrying out linear processing and expansion at approximate points to obtain an observation equation of the nodes in the Mesh network; obtaining a pseudo-range error matrix expression; fitting the pseudo-range error matrix expression by using a least square method to obtain an offset at an approximate point, and further obtaining a position coordinate of a node; a node position sensing step under the condition that part of nodes in the controlled blocking domain receive satellite signals: determining a reference node based on the signal receiving condition of the nodes in the controlled blocking domain and the node positions; and obtaining a distance matrix equation from a reference node to an unknown node by using a bilateral bidirectional ranging technology, and performing fitting solution by using a least square method to obtain position coordinates of the unknown node. The method can be suitable for multi-node communication with all nodes being equal in status.

The application discloses a kind of swing integral gyro accelerometer outer ring position identification method, this method includes: obtaining the expression of apparent acceleration;The expression of apparent acceleration is handled to obtain the matrix expression of apparent acceleration;Obtain multiple outer ring precession angular velocity, according to multiple outer ring precession angular velocity to obtain continuous record data;Obtain multiple outer ring precession angle, according to multiple outer ring precession angle to obtain continuous record data;According to continuous record data and continuous record data, parameter C 11 、C 21 、C 31 In the matrix expression of apparent acceleration, according to the apparent acceleration that swing integral gyro accelerometer sensitive axis senses, parameter C 11 、C 21 Obtain outer ring starting angular position;According to outer ring starting angular position and outer ring precession angle, swing integral gyro accelerometer real-time outer ring absolute angular position is obtained.The application solves the problem that swing integral gyro accelerometer outer ring position is unknown and cannot be controlled, with the characteristics of fast, reliable, practical.

The application provides a multi-target ambiguity resolution and redundancy reduction method based on a multi-ary tree recursive model, comprising the following steps: step 1, according to a device repetition period parameter, a residual difference table is established for each two relatively prime repetition periods; step 2, after an apparent distance difference is obtained according to an apparent distance and a table is looked up to obtain an ambiguity, a target real distance is determined; step 3, according to the residual difference table, a matrix type staggered index two-dimensional table is established for a target index, a distance true value and a related repetition frequency index; and step 4, according to the established matrix type staggered index two-dimensional table, a method for obtaining multi-visibility of a target based on a multi-ary tree recursive model is adopted to perform a high-to-low fast search for multi-visibility of a target for all distance unit targets of each repetition period until the target is determined. The application effectively reduces redundancy of multi-target ambiguity resolution and improves processing speed.

This invention discloses a method for determining the nonlinear contact position between the drill string and the wellbore. The connection point between two adjacent elements is considered a node. The finite element dynamic equations of the drill string at the current moment are transformed into a relationship between the effective stiffness matrix of the drill string, the displacement matrices of all nodes of the drill string, and the effective load matrix. The method divides the equations into blocks according to the two-element, three-node relationship. Matrix operations are performed on each sub-expression to obtain the radial displacement matrix expression for each intermediate node. If the radial displacement is greater than the gap between the wellbore and the drill string, the radial displacement of the node is set to the gap value, and matrix multiplication is performed again to obtain a new effective load sub-matrix. This process is repeated to calculate the radial displacement of all nodes until all are within the gap between the wellbore and the drill string. The radial displacement of the drill string at the current moment is then combined to obtain the node displacements at all times. Finally, it is determined whether the radial displacements of all nodes at all times are equal to the gap between the wellbore and the drill string to determine the nonlinear contact position between the drill string and the wellbore.

The invention provides a quantum error mitigation method based on unitary gate design combined with a Fouli channel Z mixed expression, and the method comprises the steps: carrying out the unitary gate design of a quantum gate in a quantum circuit, and then combining with the Fouli channel Z mixed expression to alleviate the quantum gate and a measurement error. According to the method, the unitary gate design is combined with the Z mixed expression of the Fouli channel, the quantum gate noise and the measurement noise can be relieved at the same time, any quantum gate noise can be equivalently converted into a depolarization channel through the unitary gate design, the limitation of a traditional method on the noise type is avoided, the application range is wider, and the method is easy to implement. The method can be effectively operated under a more generalized noise model; compared with zero-noise extrapolation and other methods, the method does not depend on a large number of noise amplification experiments and complex fitting, and parameter estimation can be completed only through a small amount of auxiliary measurement; the invention provides a more generalized noise channel mitigation scheme for the quantum error mitigation field.

The application relates to the technical field of intelligent robot skin, in particular to a matrix type film pressure sensor array structure for robot skin, which comprises a flexible silica gel base body, a 32*32 film pressure sensor unit array, a partitioned analog-digital conversion module, an FPGA and an embedded MCU, and three types of local feedback execution units. The structure enhances signal sensitivity through thickness gradient design, realizes tactile recognition and multi-modal feedback closed loop in combination with a local neural network, supports magnetic attraction splicing and modular expansion. The application can realize high-density tactile perception, low-delay response and vision-independent human-machine safety interaction.

The application discloses a conjunctive normal form based semi-tensor product SAT solving method, which comprises the following steps: analyzing conjunctive normal form clauses; according to the analyzed conjunctive normal form clauses, combining each clause C x into a corresponding logical matrix representation M x , and obtaining M x ; combining the obtained M x into a group of matrix expressions through logical relationship; calculating the logical matrix representation according to the semi-tensor product SAT solving; and according to the satisfiable assignment of each C x , taking the intersection of each group of satisfiable assignments to obtain a group of satisfiable Boolean assignments satisfying all independent clauses C. The conjunctive normal form based semi-tensor product SAT solving method and device can reduce the calculation time, improve the calculation efficiency and improve the compactness of the satisfiable solution.

The invention discloses a nonlinear rotor system dynamic response and sensitivity calculation method and device, equipment and a medium, and the method comprises the steps: S1, carrying out the dynamic modeling of a nonlinear rotor system according to the structural characteristics of the nonlinear rotor system, and building a motion equation of the nonlinear rotor system; s2, establishing a hypercomplex form of the motion equation of the nonlinear rotor system to obtain a hypercomplex motion equation of the nonlinear rotor system, and performing dimension expansion conversion on the motion equation of the nonlinear rotor system of a complex matrix into an equivalent real number matrix by using a complex matrix expression; and S3, solving the established hypercomplex motion equation of the nonlinear rotor system, extracting the real part value and the imaginary part value of a calculation result, and obtaining the response of the system and the corresponding sensitivity of each order. According to the method, the jacobian matrix is automatically updated and solved in the iteration process, the accuracy of the calculation result is ensured, the response sensitivity and the dynamic response sensitivity of the nonlinear rotor system can be calculated at the same time, and the calculation efficiency is high.

The invention discloses a free surface multiple noise suppression method, device and equipment. The method comprises the following steps: constructing a matrix expression of original seismic data based on the original seismic data and performing multiple suppression on the original seismic data to obtain a residual target function of primary waves; determining an initial iteration gradient based on the residual objective function, and determining an update direction in a suppressed multiple inversion iteration process based on the initial iteration gradient and a second-order partial derivative of the residual objective function; based on the initial iteration gradient and the updating direction in the inversion iteration process, determining an iteration optimal step length; carrying out inversion according to the iteration optimal step length, and judging whether an expected effect is achieved or not; if yes, inverse Fourier transform is carried out to obtain suppressed primary waves; and if not, updating the iteration gradient and the updating direction to continue iteration inversion. An inversion algorithm based on second-order optimization has better convergence performance and operation precision; seismic wavelets do not need to be provided, manual intervention is little, and the calculation efficiency is high.

The invention discloses a modeling method and system for a single-stage isolation matrix AC-DC converter, and belongs to the technical field of power electronics, and the method comprises the steps: building an original time domain state equation of the single-stage isolation matrix AC-DC converter according to a preselected state variable and a switching function; extracting each preselected state variable and a main moving average component of each switching function; the main moving average component is the moving average component with the maximum amplitude; taking each moving average component as a corresponding state variable or approximation of a corresponding switching function, and substituting the moving average components into the original time domain state equation to obtain a time domain state space model of the single-stage isolation matrix AC-DC converter; and correcting the real part and the imaginary part of the main moving average component of each state variable in the time domain state space model, so that the output direct current voltage calculated based on the time domain state space model is equal to the actual direct current output voltage after correction. According to the invention, accurate mathematical modeling of the single-stage isolation matrix AC-DC converter can be realized.

The invention discloses a resolution improvement limit derivation method. The method comprises the following steps: converting an echo signal into an echo signal matrix expression under a geometric diffraction model; echo vector probability distribution is obtained under the condition that preset noise is Gaussian complex noise, and an echo likelihood function is obtained according to the echo vector probability distribution; calculating a Fisher information matrix of the scattering center parameter; obtaining CRLB of the scattering center parameters according to the Fisher information matrix of the scattering center parameters; obtaining the minimum distance between the two scattering centers according to the pole phase difference of the two scattering centers under the pole model; obtaining the phase difference of two poles in the first sub-band and the phase difference of two poles in the double sub-bands according to the minimum distance between the two scattering centers; and obtaining a resolution improvement limit according to the phase difference minimum value of the two poles in the first sub-band and the phase difference minimum value of the two poles in the double sub-bands. The invention solves the problem that the existing resolution improvement limit is only suitable for a point scattering center and has a narrow application range.

The application relates to the technical field of unmanned ship navigation control, and discloses an unmanned ship navigation state control method and system based on intelligent sensing. Multidimensional data of a navigation environment is acquired, and a multi-dimensional data fusion technology is used to construct an environment state matrix, so that discrete environment elements are converted into a structured matrix expression. In an initial path generation stage, data acquisition value evaluation is integrated, obstacle avoidance requirements are considered, and a high-value detection area is actively covered. In a correction path stage, a multi-target cost function including energy consumption, threat degree and path length is constructed, so that real-time path optimization under a dynamic environment is realized. In a propulsion control link, the propulsion force and rudder angle parameters are calculated by comprehensively considering the unmanned ship posture, ship speed and ocean current speed. The method solves the contradiction among real-time dynamic obstacle avoidance, data acquisition efficiency and energy consumption optimization by cooperating the global-local double-layer path planning with the propulsion force and rudder angle control of the unmanned ship.

The invention provides an AI image large model development method based on modeling data training, and the method comprises the steps: constructing a three-order customized training system which comprises basic model pre-training, field fine tuning and scene specialization training; the training data is cleaned and labeled, fuzzy or low-quality samples are removed, and a three-level label system is established; on the basis of a Stable Diffusion 1.5 model, a lightweight parameter fine tuning framework LoRA and a distributed training tool are combined to realize model training; performing evaluation on the training model according to preset objective indexes and subjective indexes; developing a plurality of customized models according to a design dimension in combination with a matrix path of a scene type, and optimizing a version through rapid iteration and A / B test; in the application stage, the prototype drawing meeting the automobile modeling design requirement is generated based on the customized model in combination with the steps of requirement input, keyword engineering, multi-model collaborative generation, structure refinement and style unification.

The application belongs to the technical field of power electronics, and provides a filter-containing rectification load parameter identification method and system based on Z transformation, which comprises the following steps: obtaining an equivalent topology of a filter; determining a transfer function between an alternating current side current and an alternating current side voltage of the filter according to the obtained equivalent topology of the filter; obtaining a matrix expression between the alternating current side voltage and the alternating current side current based on a bilinear transformation and Z transformation processing of the determined transfer function; obtaining an unknown element parameter expression in the equivalent topology according to the obtained matrix expression; and solving unknown parameters in the obtained unknown element parameter expression in the equivalent topology based on a gradient identification algorithm, so as to complete the filter topology parameter identification based on Z transformation.

A compilation method is proposed comprising the steps of: determining, for each matrix expression (E) of a source code, N ordered matrix operations (On); generating, from the matrix operations, an object code; and delivering the object code to an execution device comprising a storage unit (240) capable of holding at least one temporary memory space (241), each comprising temporary subspaces (241-n). The instructions of the object code include, for each thread of execution of the object code: the pre-allocation of a temporary space; for each expression in the thread, the execution of N groups of instructions, each associated with one of the matrix operations and comprising: the allocation of a matrix (Tn) corresponding to the result of the evaluation of the operation, in a temporary subspace; the evaluation of the operation and the storage of the matrix, the Nth matrix (TN) being the result of the execution of the expression in the thread.Figure for the abridged version: [Fig.4].