11results about How to "Avoid iterative calculations" patented technology

The invention relates to a robot G3 continuous corner smoothing method based on a Bezier curve. The method comprises the steps that robot small line segment machining tool nose position data is input, six times of Bezier curves are adopted for transfer fairing under a workpiece coordinate system, and control points of the Bezier curves are analyzed and calculated according to the maximum allowable value of tool nose position fairing errors and the condition constraint that G3 at the curve connection position is continuous; secondly, robot small line segment machining cutter axis direction data are input, six times of Bezier curves are adopted in an RPY angle space under a workpiece coordinate system for transfer fairing, and control points of the Bezier curves are analyzed and calculated according to the maximum allowable value of fairing errors in the cutter axis direction and the condition constraint that G3 at the curve connection position is continuous; and finally, parameter synchronization is carried out on the cutter shaft direction and the cutter point position path after switching and smoothing, and a B spline straight line is adopted to replace the remaining linear section. According to the method, continuous and smooth switching of the tool path G3 can be realized analytically, no iterative computation is needed, and the processing real-time performance and stability are improved while the fairing error is controllable.

The invention relates to the related technical field of power dispatching, in particular to a gradient descent-based power generation side spot quotation optimizing method and device for a power market. The method comprises the following steps: inputting specific parameters of a power generation side main body power supply; constructing a quotation function based on the target frequency modulation time period combination; wherein the quotation function is composed of a P vector and a dQ vector, the P vector represents the quotation, and the dQ vector represents the length of the output section; performing a clearing settlement process, and calculating an optimization objective function according to the input data and the initialized quotation function; calculating a quotation gradient, and based on the quotation gradient, carrying out gradient updating to optimize a quotation function; wherein the gradient update of the P vector represents the influence of the quotation change on the total gross profit, and the gradient update of the dQ vector represents the influence of the output section change on the total gross profit; judging whether a convergence condition is met or not, if yes, stopping iteration, and if not, continuing gradient updating; and determining spot quotation corresponding to the target frequency modulation time period based on a gradient updating process.

The invention discloses a multi-frequency multi-system combined pseudo-range observation value calculation method and system, and relates to the technical field of information, and the method comprises the steps: obtaining satellite observation data received by a GNSS receiver, constructing a diagonal weight matrix, and carrying out the calculation to obtain a preliminary multi-frequency combined model coefficient estimation matrix; calculating standardized residual identification of the observation value, correcting an abnormal pseudo-range observation value, and iteratively correcting and updating the weight matrix to obtain an updated multi-frequency combination model coefficient estimation matrix; and judging whether the multi-frequency combination model coefficient estimation matrix meets a cut-off requirement or not to obtain an optimal multi-frequency combination model coefficient matrix calculation combination pseudo-range observation value. The method can better adapt to the change of observation data, improves the accuracy of model estimation, reduces the positioning error, and enables the positioning result to be more reliable. Unnecessary iterative computation is avoided, computing resources are saved, the accuracy and reliability of a final model coefficient matrix are ensured, and the overall performance of the system is improved.

The invention discloses a safe working area calculation method, device and system of an MOSFET and a storage medium, and relates to the technical field of semiconductors. The method comprises the following steps: acquiring MOSFET temperature sensitive parameters; obtaining a relation curve between the MOSFET temperature sensitive parameter and the MOSFET junction temperature; acquiring transient thermal impedance of the MOSFET under different duty ratios and different pulse widths; calculating the maximum allowable power loss of the MOSFET under different pulse widths of the single pulse; calculating a safe working area SOA curve coordinate of the MOSFET; and automatically calculating, drawing, storing and outputting a safe working area SOA diagram of the MOSFET on the basis of Qt Widgets. According to the SOA calculation method for the safe working area of the MOSFET, the thermal performance and the electrical performance of the MOSFET are comprehensively considered, the safe working area of the MOSFET is determined through a series of experiments and calculation steps, and the accuracy of a calculation result is improved.

This invention relates to the field of high-altitude work equipment technology and discloses a method for reconstructing the flow field in a supersonic isolation section by integrating CNN and FCNN. The method includes the following steps: acquiring wall pressure data and schlieren image sequences in a wind tunnel test system; using synchronous light signals for time alignment and preprocessing; constructing a training dataset containing normalized pressure feature vectors and a matrix of real flow field schlieren images; constructing a parallel dual-branch deep learning model; using a convolutional neural network branch to reshape the pressure data into a matrix to extract spatial structure features; and using a fully connected neural network branch to directly extract numerical correlation features. The outputs of both are merged in a feature fusion layer. After optimizing the model parameters using the training dataset, the real-time acquired wall pressure is input into the trained model, and the reconstructed flow field grayscale image is output. This invention solves the problem of difficulty in reconstructing complex flow fields from sparse pressure data and achieves high-precision real-time monitoring of the flow field in a supersonic isolation section.

The invention discloses a visual content generation method and a training method and device of a visual content generation model. The visual content generation method comprises the following steps: decoding discrete feature representation to obtain first visual data matched with target semantic content; obtaining a first continuous feature representation of the first visual data; and performing reconstruction processing on the first continuous feature representation through a visual content generation model to obtain a visual content generation result of the discrete feature representation. Compared with a method of directly performing reconstruction from discrete feature representation in related technologies, the method performs reconstruction from continuous feature representation, and the continuous feature representation contains richer spatial and semantic information, so that the complexity of executing a reconstruction process by the visual content generation model is remarkably reduced, and the reconstruction efficiency is improved. The efficiency of visual content generation based on discrete feature representation is improved.

The invention provides a method and system for optimizing a node relation in IP positioning, and relates to the technical field of networks, and the method comprises the steps: collecting and processing the routing path data of a target and a landmark; setting a screening rule, and screening the routing path data to obtain the information of the last hop router; constructing an initial IP distribution map by taking the last hop router as a center; obtaining feature data according to the initial IP distribution map, and calculating feature similarity to obtain an initial adjacency matrix of the similarity; according to the initial adjacency matrix of the similarity, optimizing the node relationship to obtain an optimized similarity adjacency matrix; and according to the optimized similarity adjacency matrix, determining first K neighbors and optimizing a selection strategy to obtain an optimization strategy. According to the method, deep learning and comparative learning technologies are introduced, and the neighborhood between the target node and the known landmark node is optimized, so that the prediction precision of the IP geographic position is improved.

The invention discloses a high-precision 64-bit unsigned integer extraction method based on a 16-bit lookup table. The high-precision 64-bit unsigned integer extraction method comprises the following steps: constructing the lookup table; defining and judging an input boundary; obtaining an index value; and performing table look-up calculation. In conclusion, the high-precision 64-bit unsigned integer extraction method based on the 16-bit lookup table is applied to a high-precision intelligent electric meter metering module, the MPU calculation time can be greatly shortened on the premise that the extraction precision is guaranteed, the data processing efficiency of the metering module is greatly improved, the high-precision metering requirement of an intelligent electric meter is met, and the practicability is high. The maximum calculation time of the method is shortened to 646 system clock cycles, and compared with 3782 clock cycles of an extraction algorithm in an ANSI 'C' standard library, the MPU calculation speed is increased by about 82.9%. Meanwhile, the error magnitude of a square extraction result reaches 10e <-6 >, and the calculation speed is improved: an approximate value of a square root of a 64-bit unsigned integer can be quickly found through a lookup table, and complex iterative calculation is avoided, so that the calculation speed is remarkably improved, and algorithm implementation is simplified.

The invention relates to the technical field of bridge engineering and discloses a suspension bridge and a suspension bridge main cable finished bridge line shape calculation method. The suspension bridge main cable finished bridge line shape calculation method comprises the following steps of S100, preparing calculation parameters; s200, calculating a main span main cable finished bridge line shape; and S300, calculating a side span main cable finished bridge line shape. The suspension bridge is designed based on the suspension bridge main cable finished bridge line shape calculation method. According to the suspension bridge and the suspension bridge main cable finished bridge line shape calculation method, the calculation complexity is effectively reduced, a large number of numerical iterative calculations of a current common method are avoided, and the calculation efficiency is remarkably improved. The calculation precision of the finished bridge coordinates of the main cable can reach the mm level, the calculation precision of the internal force of the main cable can reach 1 / 10000 or above, the calculation precision of the length of the main cable can reach 1 / 1000000 or above, and the method is a high-efficiency and high-precision calculation method for the finished bridge state alignment and construction control of the suspension bridge.

The present invention relates to an explicit guidance method for anti-interference fixed-point landing of a spacecraft, comprising: establishing a dynamic model in a LVLH coordinate system; establishing an interference observer, estimating the disturbance online to obtain an anti-interference term, and introducing it into a guidance instruction for compensation to obtain a disturbance-compensated model; constructing a guidance law for the disturbance-compensated model using an optimal principle, and solving the guidance instruction; solving to obtain an analytical range expression, and calculating a thrust correction value to achieve control of the anti-interference fixed-point landing of the spacecraft. The method of the present invention can ensure the guidance accuracy in the presence of uncertain interference, and has the advantages of small calculation amount and being able to achieve fixed-point landing.

This invention discloses a method for evaluating the self-cleaning performance of a product's microstructure surface. The method includes: treating the product's microstructure surface as a micropillar array surface; constructing a spreading model of a composite droplet on the micropillar array surface; the spreading model taking the micropillar size and composite droplet properties as inputs; calculating the spreading radius and maximum spreading diameter of the composite droplet on an ideal smooth surface over time; correcting for these parameters using the surface influence coefficient of the micropillar array; and obtaining the spreading radius and maximum spreading diameter of the composite droplet after impacting the micropillar surface over time as outputs; setting a set of operating conditions; and evaluating and determining the self-cleaning performance of each condition based on the spreading model. This method can be used to pre-evaluate the self-cleaning effect of a certain micropillar surface design, reducing the experimental verification workload of candidate solutions and thus shortening the R&D cycle.