12 results about "Multi grid" patented technology

The invention relates to the technical field of railway operation and maintenance, in particular to a railway operation and maintenance-oriented digital base establishment method, which comprises the following steps of: acquiring a railway operation and maintenance log, and constructing an operation and maintenance topological graph consisting of multiple grid nodes; guiding the operation state of each grid node in the operation and maintenance topological graph, determining a connection path of each grid node when the alarm event occurs, and determining an association rule corresponding to each connection path; deriving a range boundary corresponding to the alarm event based on an association rule of each connection path, and dividing the operation and maintenance topological graph into a plurality of target sub-graphs based on the range boundary; based on the multi-dimensional data of the target sub-graphs, determining an execution strategy of each target sub-graph, and mapping the response time and the state updating time of each grid node in the target sub-graphs during strategy execution into an alarm processing strategy of each grid node; generating a disposal flow in a railway operation and maintenance scene according to the alarm processing strategy according to the development track of the alarm event; and the railway maintenance efficiency and the processing precision are improved.

The invention discloses a chip image registration method, device and equipment, and relates to the technical field of image processing, and the chip image registration method comprises the steps: carrying out the grid processing of an initial chip image, and obtaining a first grid image in each grid of the initial chip image; performing feature extraction on the first grid image to obtain feature information; and registering the first grid images in the adjacent grids according to the feature information to obtain a target chip registration image. Through the above mode, gridding processing is carried out on the chip image, accurate analysis processing of a small-scale image is realized, parallel processing of multiple grids can be realized, and the processing efficiency is improved; and in combination with the feature information and the position information of the first grid chart, the image position is accurately positioned, and the accuracy and the reliability of fusion registration are improved.

The invention discloses a piezoelectric ceramic driver control method based on a multi-grid method, and belongs to the technical field of precise driving control. Aiming at the problems of low positioning precision caused by inherent nonlinear characteristics of hysteresis, creep and the like of a piezoelectric ceramic driver, many parameters of a traditional complex model and large calculation amount, the method comprises the following steps: firstly, establishing an electromechanical coupling nonlinear power system model, and accurately converting an original system into a linear system through a feedback linearization technology; then constructing an optimal control problem, deducing a regular equation set by using a Pontryagin minimum principle, and performing time discretization by using an implicit Euler format to ensure numerical stability; and finally, introducing a multi-grid algorithm to efficiently solve the large-scale discrete system. According to the method, the calculation complexity is remarkably reduced while the model precision is reserved, the convergence speed is increased by more than 8 times compared with a traditional iteration method, the robustness to parameter changes is high, a precondition device does not need to be adjusted, the positioning error can be controlled within the range, and the method is suitable for the high-end manufacturing fields such as precise positioning and optical focusing.

The invention discloses a weather prediction method based on a multi-grid neural network. The method comprises the following steps: acquiring a plurality of meteorological observation data according to a time sequence to form a meteorological observation data set; a multi-grid neural network model is established, and a meteorological observation data set is used for training, wherein the multi-grid neural network model comprises a wavelet decomposition module and a data processing module, wherein the wavelet decomposition module comprises n wavelet transformation layers which are connected in sequence; the multi-grid feature extraction module comprises n multi-grid smoothing units, and output features of the (2-n) th multi-grid smoothing unit are subjected to up-sampling and then serve as input features of coarse grid smoothing operation in the previous multi-grid smoothing unit; the two-dimensional discrete wavelet inverse transformation unit is used for obtaining a prediction result of the corresponding meteorological observation data according to the output characteristics of the first multi-grid smoothing unit; and inputting meteorological observation data to be measured into the trained multi-grid neural network model to obtain a corresponding prediction result. The method has the advantages of high calculation speed, high prediction precision, good generalization ability and good physical interpretability.

The invention relates to the technical field of power system automation control, in particular to a grid dynamic coordination optimization method, system and device based on a power grid and a medium. Voltage fluctuation characteristics and load change gradients of nodes of the power grid are collected in real time, and instability early warning coefficients of the nodes of the power grid are calculated through chaotic evolution analysis; when the instability early warning coefficient exceeds a dynamic stability threshold value, extracting a grid region to which the node belongs, and constructing a multi-grid game utility function; the power adjustment range and the voltage constraint condition of each grid are input into a biological metabolism dynamics engine, and the power distribution weight of each grid is calculated through an ATP-ADP energy circulation mechanism; iteratively calculating an optimal power distribution strategy through an evolutionary game equilibrium solver based on the power distribution weight; generating a dynamic boundary impedance adjusting instruction according to the optimal power distribution strategy, and packaging the dynamic boundary impedance adjusting instruction and the interconnection switch operation sequence into a control message; and analyzing the control message into a three-dimensional operation guide animation through the augmented reality interaction platform, and executing power grid coordination optimization after the three-dimensional operation guide animation is confirmed by a gesture of an operator.

The invention discloses a framework supporting multiple mesh generation engines and a calling method. The framework comprises a middle layer and an adaptation layer, wherein the middle layer and the adaptation layer are used for calling the multiple mesh generation engines; the middle layer is connected with the adaptation layer; the middle layer is provided with a grid calling interface; the adaptation layer comprises adaptation classes corresponding to a plurality of mesh generation engines; the middle layer receives the to-be-subdivided model and the subdivision parameters, determines a to-be-executed task and a task type according to the subdivision parameters, and packages the subdivision parameters into task parameters used for matching the task type; calling a grid calling interface to transmit the task parameters to an adaptation layer; the adaptation layer analyzes the task parameters and determines a target adaptation class corresponding to the to-be-executed task; and according to the target adaptation class, determining a target engine for subdividing the to-be-subdivided model in the plurality of mesh subdivision engines. According to the method, a plurality of mesh generation engines are integrated, and different mesh generation engines are called in a one-stop mode.

The utility model belongs to the technical field of inverted grid experimental devices, and discloses a grid device for testing mouse muscle strength, which comprises a box body, at least one end along the length direction of the box body is an open end, the open end is provided with a door body, the top of the box body is provided with a top plate, the top plate is provided with a plurality of through grooves arranged at intervals, each through groove is internally hinged with a grid, and the box body is provided with a grid. The grids can be lapped on the top plate in a horizontal posture, a plurality of grids form a plurality of test areas on the top plate, the part, between every two adjacent test areas, of the top plate is an isolation area, and the isolation areas can prevent mice from entering the adjacent test areas. According to the grid device, a plurality of mice are tested in a multi-grid mode, after individual mice are tested, idle test areas can be supplemented in time, the isolation areas are arranged between the adjacent test areas, it is guaranteed that the mice cannot enter the adjacent test areas, and the test efficiency is improved. The influence on the result caused by mutual interference of mice in adjacent test areas is avoided, and the test accuracy is ensured.

A three-dimensional generative adversarial network includes a generator, a discriminator, and a renderer. The generator is configured to receive an intermediate latent code mapped from a latent code and a camera pose, generate two-dimensional backgrounds for a set of images, and generate, based on the intermediate latent code, multi-grid representation features. The renderer is configured to synthesize images based on the camera pose, a camera pose offset, and the multi-grid representation features; the camera pose offset being mapped from the latent code and the camera pose; and render a foreground mask. The discriminator is configured to supervise a training of the foreground mask with an up-sampled image and a super-resolved image.

This invention provides a method for inverting the surrounding rock mechanical parameters of hydraulic cavern groups based on the PO-SVM collaborative optimization algorithm, relating to the field of water conservancy and hydropower engineering technology. This method combines the efficient search capability of the Parrot Optimization (PO) algorithm with the Linear Support Vector Machine (SVM), which can fully utilize the advantages of the PO algorithm in its strong global optimization capability and the efficient data learning capability of the SVM surrogate model, significantly reducing the number of global optimizations and the number of fitness evaluations of the objective function, thereby making the inversion of the surrounding rock mechanical parameters of the refined multi-grid model of hydraulic cavern groups more efficient and reliable.

The invention discloses a household equipment control method and system based on multi-grid high-precision sensing. The method comprises the following steps: acquiring a plurality of echo data acquired by radar equipment arranged in a plurality of grid areas of a household area; according to the echo data, user track distribution in each grid region is determined; according to the user track distribution, determining an equipment control demand corresponding to at least one grid region; and on the basis of a preset corresponding relationship between a control demand and a control strategy, according to the equipment control demand, determining a control instruction of the home equipment in the at least one grid region. Therefore, accurate user behavior driving equipment control based on gridding radar perception can be realized, home intelligent responsiveness and regional management efficiency are improved, and the equipment adjustment lag risk caused by the fact that user activities are not perceived is reduced.

This invention belongs to the field of smart grid technology, specifically relating to a method and apparatus for assessing inter-grid spatiotemporal mutual assistance demand considering the correlation of multiple source loads. The steps include: acquiring and preprocessing basic data of the distribution network to be analyzed; establishing a power grid operation simulation model to extrapolate the operating status of each power grid at different times throughout the year; calculating the local net imbalance power of each power grid at different times; constructing a multi-grid multi-source load random variable vector to generate a set of typical operating scenarios and scenario probabilities that satisfy spatiotemporal correlation characteristics; establishing and solving a spatiotemporal mutual assistance demand assessment model; and based on the solution results, calculating the expected mutual assistance power, mutual assistance dependence, deficit fulfillment rate, and interconnection capacity demand indicators between grids to form the spatiotemporal mutual assistance demand assessment results between power grids. This invention can accurately quantify inter-grid mutual assistance demand, providing a scientific and practical quantitative basis for distribution network planning and coordinated operation.

The invention relates to an efficient additive manufacturing thermal coupling topological optimization method considering suspension constraints. The method comprises the following steps: firstly, constructing a thermal-mechanical coupling topological optimization model considering the suspension constraint based on a suspension angle projection function; secondly, a multi-grid preprocessing conjugate gradient method is introduced to efficiently solve a structure heat conduction and thermal coupling balance equation, and structure temperature field and displacement field information is obtained; and finally, based on an adjoint variable method, deriving the sensitivity of a target function about topological design variables, and updating the topological configuration of the thermal coupling structure by adopting a gradient-based moving asymptote optimization algorithm. According to the method, the topological optimization model considering the suspension constraint is constructed for the topological optimization problem of the thermal coupling structure for additive manufacturing, the efficiency of structural thermal coupling performance analysis is greatly improved through the multi-grid preprocessing strategy, and efficient structural thermal coupling topological optimization design meeting the additive manufacturing requirement is achieved.