9results about How to "Calculation time is short" patented technology

The invention discloses an optimization method, system and device for a ReLee filtering algorithm based on a CUDA platform, and relates to the technical field of signal processing.The optimization method comprises the following steps that a first memory and a second memory are applied in a global memory of a GPU, image data to be filtered in a memory of a CPU is copied to the first memory, and the second memory is copied to the second memory; according to the to-be-filtered image data layout block stored in the first memory, after a CUDA kernel function is started, all threads in the block are allowed to execute the kernel function so as to obtain a filtering result, the filtering result is stored in the second memory, and the filtering result is copied to the memory of the CPU. Through the steps, the optimization method is favorable for improving the calculation efficiency.

The present invention provides a method and electronic device for optimizing the energy storage of a distributed photovoltaic and energy storage system, and relates to the field of electric power technology. The daily output power curve of the distributed photovoltaic and the daily load demand curve are calculated, and the energy storage margin model is constructed in combination with the life and capacity relationship of the energy storage system to obtain the optimized characteristic curve of the daily energy storage margin and the output power and load demand relationship, and then the output power curve of the distributed photovoltaic and the load demand curve of the next day are combined to determine the energy storage margin of the energy storage system for the next day; with the minimum cost as the goal, the current day's charging margin of the energy storage system is optimized; when the distributed photovoltaic starts to output power on the current day, the energy storage system is controlled to output power at the same time, so that the total output power of the distributed photovoltaic and energy storage system on the current day reaches the output power stable value. The present invention obtains more accurate daily energy storage and grid-connected power generation, so that the total output power meets the stability index, with less calculation and simple calculation.

The present invention discloses a multi-step prediction method and system for blast furnace gas network pressure based on historical trend similarity, which obtains continuous pressure data of blast furnace gas network, constructs historical trend data set through sliding window segmentation, historical comparison sequence and future prediction sequence; optimizes multi-step prediction results based on single prediction, uses the first predicted value of each prediction as the actual value, and repeats the prediction process multiple times. This improves the problem that the data characteristics of the existing time series method do not match the typical characteristics of time series data, and the time series scenario is not suitable for blast furnace gas pressure prediction. Improve the prediction accuracy of the existing pressure prediction method and improve the prediction speed and efficiency.

The invention relates to the technical field of computational fluid mechanics, in particular to a multi-stage axial flow compressor full-ring unsteady efficient numerical simulation method and system, and the multi-stage axial flow compressor full-ring unsteady efficient numerical simulation method comprises the following steps: performing steady calculation on a whole-stage single-channel grid flow field to obtain single-channel data of each stage; periodically copying the ith-level single-channel data into a full ring to obtain ith-level full-ring data; combining the ith-level full-ring data with downstream single-channel data of other levels, and performing unsteady calculation to obtain ith-level full-ring data information; periodically copying the (i + 1) th-level single-channel data into a full ring to obtain (i + 1) th-level full-ring data; (i + 1) th-level full-ring data is combined with downstream single-channel data of other levels, ith-level outlet full-ring-current field data serves as an (i + 1) th-level full-ring inlet boundary, and (i + 1) th-level full-ring data information is obtained through unsteady calculation; and obtaining all-ring data information in the rest single-channel periods in sequence, and combining the all-ring data information to obtain whole-level all-ring unsteady data.

The invention provides a scheduling strategy determination method of a drainage system, electronic equipment and a storage medium, and relates to the technical field of cloud intelligence, and the method comprises the steps: firstly, obtaining the water volume information of a plurality of pump stations in a pipe network of the drainage system and the water volume information of the paths of the plurality of pump stations; secondly, under the condition that constraint conditions and control targets are met, on the basis of the water volume information of the multiple pump stations and the water volume information of the paths of the multiple pump stations, water adjustable information and water storage information corresponding to the pump stations to be dispatched are determined; and finally, determining a scheduling strategy corresponding to the to-be-scheduled pump station based on the adjustable water information and the impoundable water information. In the embodiment of the invention, the scheduling strategy corresponding to the pump station to be scheduled is determined based on the water volume information of the plurality of pump stations and the water volume information of the paths of the plurality of pump stations by utilizing a mathematical planning method under the condition of meeting the constraint condition and the control target, and the calculation is short in time consumption, scientific and accurate.

The invention discloses a large-flow circular shuttle vehicle dynamic control method based on a closed three-branch grid framework, which comprises the following steps: establishing a road three-branch grid model of a circular shuttle vehicle, the model comprises a shunting turnout and a converging turnout which are respectively provided with three line segments, and the shunting turnout and the converging turnout are used for representing a fork; the line segment represents a channel of the circular shuttle vehicle; based on a three-branch grid model, the method for dynamically managing the shuttle vehicle through a control system comprises the steps that a main control unit distributes a control unit of an area to which the shuttle vehicle belongs and a current line segment to the shuttle vehicle in real time according to the destination of the shuttle vehicle and the current real-time traffic condition; the area control unit calculates the maximum limiting speed of the vehicle according to a nearest distance dynamic algorithm based on the vehicle task target position, the line segment end point and the front vehicle distance; and when the distance between the front vehicle and the vehicle is suddenly changed, the vehicle control unit performs amplitude limiting and compensation on the suddenly changed original control speed of the vehicle in the line segment according to a natural constant exponentiation speed curve control method, so that the running efficiency and the stability of the shuttle vehicle are improved.

The application provides a standardized coordinate system-based registration method and device for a region of interest, and relates to the technical field of medical imaging. The method comprises the following steps: acquiring chest images of a patient at different times; for each chest image, performing the following steps: determining a lung boundary box based on the chest image; establishing a standardized coordinate system with the center point of the lung boundary box as the origin; determining a target region of interest in the chest image; determining the relative coordinates of the target region of interest in the standardized coordinate system; and determining the target region of interest in other chest images that matches the target region of interest based on the relative coordinates of the target region of interest. The application can reduce the complexity of registration calculation.

The application discloses a power spot market bidding decision-making method considering bias assessment, and belongs to the technical field of power market transaction decision-making. The method comprises the following steps: acquiring benchmark transaction parameters of arbitrage bidding and market bias income recovery rules; constructing a settlement net income model of arbitrage bidding, wherein the net income model models the bias income recovery rules as a function affecting net income; constructing a distribution robust optimization model considering market price difference prediction uncertainty, wherein the distribution robust optimization model is based on the net income model and takes arbitrage bidding quantity as a decision variable; and solving the distribution robust optimization model to output the optimal arbitrage bidding quantity. The application embeds market segmented bias income recovery rules in the decision-making model, and adopts a distribution robust optimization framework to cope with uncertainty, thereby achieving the technical effect of significantly improving decision-making robustness and income calculation accuracy under the premise of strict compliance.

The present invention proposes a novel method for calculating the iron loss of a stator permanent magnet motor, which comprises the following steps: firstly, selecting representative points for analyzing the variation law of the magnetic flux density in the iron core; then obtaining an elliptical magnetization trajectory diagram through simulation; decomposing the elliptical harmonic magnetic field; calculating the magnetic flux density amplitude and the DC bias amplitude on the long axis and short axis of each elliptical harmonic; and finally calculating the iron loss through the proposed formula. The novel method for calculating the iron loss of a stator permanent magnet motor proposed in the present invention takes into account the influence of multiple factors, including: elliptical rotating magnetization phenomenon, DC bias phenomenon, small hysteresis loop phenomenon and PWM harmonic current, and has the outstanding advantages of high accuracy, simple calculation process, and can be used to calculate the iron loss of different motors under different working conditions, thus providing guidance for the design and optimization of motors.