8results about How to "Improve calculation efficiency" patented technology

The invention provides a virtual power plant baseline load measurement and calculation method based on multi-dimensional factors, and the method specifically comprises the steps: screening load prediction correlation factors based on historical demand response information, and determining the correlation degree between each load prediction correlation factor and a load demand; setting a weight coefficient of each load prediction association factor based on the association degree, and constructing a prediction training data set according to the corresponding weight coefficient; an LSTM model is constructed, training is performed through the prediction training data set, model parameters are optimized through a sparrow optimization algorithm, and a baseline load measurement and calculation model is obtained; and calculating the baseline load of the virtual power plant in the target time period according to the baseline load measurement and calculation model. Baseline load prediction can be performed through the LSTM model, and parameter optimization is performed by using a sparrow optimization algorithm in the model training process so as to efficiently and accurately set LSTM network parameters, and at the same time, the measurement and calculation precision and the measurement and calculation efficiency of the baseline load are ensured.

The present application relates to a kind of fusion supply area level new energy consumption rate calculation method, comprising: the power balance analysis of provincial, municipal and supply area level power grid, determine whether there is new energy power abandonment risk in corresponding level power grid;Build power grid time sequence production simulation model;Actual wind and light output condition of province level is calculated;Optimize municipal theoretical wind and light output condition;Actual wind and light output condition of municipal considering provincial power abandonment is calculated;Optimize supply area level theoretical wind and light output condition;Actual wind and light output condition of supply area level considering provincial and municipal power abandonment is calculated;Get supply area level new energy consumption rate.The present application realizes the layer-by-layer refinement calculation from provincial, municipal to supply area level, realizes the analysis accuracy of consumption rate to be implemented to specific supply area range;Power balance analysis is placed in each level time sequence simulation simulation, quickly filters out the area without power abandonment risk, simplifies iterative optimization process, significantly improves new energy consumption rate measurement efficiency.

The application provides a production quality monitoring method and system of a dihydroetorphine hydrochloride sublingual tablet composition, and belongs to the technical field of drug quality monitoring. The method comprises the following steps: collecting tablet image data and performing pretreatment to obtain a target tablet; collecting near-infrared spectrum data of the target tablet and inputting the data into a quantitative correction model to obtain a predicted content and mark an abnormal tablet; imaging the abnormal tablet and qualified tablets obtained through sampling by using a microfocus X-ray imaging instrument to obtain X-ray images; analyzing the gray value distribution of the X-ray images and evaluating the component distribution of dihydroetorphine hydrochloride in the tablet to obtain a uniformity qualification judgment result; if the uniformity qualification judgment result is doubtful or the tablet needs to be confirmed, inputting the corresponding X-ray image and image data into a pre-trained deep learning model to obtain a judgment result of the content uniformity of the tablet; and arranging the uniformity qualification judgment result and the judgment result and sending a production monitoring interface.

The invention relates to the field of ecological environment monitoring, and discloses an urban residential area indigenous plant LAI field measurement and analysis method and system, and the system comprises the steps: S1, an image collection module which is used for obtaining vertical and inclined plant canopy images of a target plant community; s2, a data processing module which is used for carrying out the preprocessing of the collected image, and the preprocessing comprises image denoising, gray level conversion and edge detection; s3, an LAI calculation module for calculating a leaf area index through a formula # imgabs0 #, and S4, an analysis and output module for displaying a calculation result in a chart form and providing a dynamic change trend; s5, a time sequence analysis module which predicts the change trend of the leaf area index by adopting an ARIMA model based on historical image data and time dimensions; and S6, a geographic information association module which combines a measurement result with a geographic information system (GIS) and is used for accurately evaluating and monitoring the urban ecological environment.

This invention relates to the field of image data processing technology, and discloses a high-throughput visualization analysis method and system for corn kernel and embryo volume based on deep learning. It can obtain at least one folder according to a user-defined file input path, each folder containing a sequence of grayscale images obtained from CT slices of corn kernels taken along a horizontal direction. Based on a parallel pipeline processing mode, a set batch size, and a deep learning segmentation model, the grayscale image sequences in the folders are preprocessed and segmented to obtain a binary segmentation mask sequence for kernels and a binary segmentation mask sequence for embryos. This allows for the determination of kernel quantity and volume-related data between kernels and embryos, and the visualization output of the relevant images and data. This invention can complete high-throughput processing of corn kernel CT slice sequences, as well as non-destructive measurement and visualization of kernel and embryo volume-related data, effectively improving measurement efficiency.

The invention provides a drying simulation method and system for a battery pole piece and a storage medium, and the method comprises the steps: S1, building a drying dynamic model of the battery pole piece, and setting a boundary condition and an initial value; s2, temperature and humidity data of a hot air inlet and a hot air outlet of the drying oven are measured, absolute humidity of an air inlet is obtained, and a pole piece-hot air coupling heat and mass transfer model is established based on energy conservation and mass conservation; and S3, the drying kinetic model and the heat and mass transfer model are combined, and a parameter sum is solved by using actually measured data Yair, test. The drying process of the battery pole piece is described in stages, a drying kinetic model is established, and in combination with a pole piece-hot air coupling heat and mass transfer model based on energy conservation and mass conservation, real-time tracking of the agent containing rate and the surface temperature of the pole piece is achieved, the drying process of the battery pole piece is optimized, and the manufacturing efficiency of the battery pole piece is improved.

This specification discloses a model training method and apparatus, and a data processing method and apparatus. The training method includes: training a configuration prediction model based on model feature vectors and device feature vectors, capable of outputting configuration numbers for each layer of the model. The processing method includes: using the configuration prediction model to predict the configuration numbers of the model to be loaded and run on the device, thereby predicting the configuration numbers for each layer of the complete model. The device performs loading inference based on the predicted configuration numbers for each layer of the model, and can generate target content based on user input information.

The invention relates to a fee calculation method and device, computer equipment and a storage medium, and relates to the technical field of order management. The method comprises the following steps: receiving a fee calculation request of a target fee calculation item sent by an order business system; the fee calculation request comprises order information of a target fee calculation item; reading a target fee calculation rule corresponding to the target fee calculation item from a system memory based on the fee calculation request; the target fee calculation rule is obtained by performing rule configuration based on a visual rule configuration interface; performing rule analysis on the target fee calculation rule to obtain a rule file which can be executed by the rule engine; and performing fee calculation based on the rule file and the order information of the target fee calculation item through the rule engine to obtain a fee calculation result of the target fee calculation item. According to the method, the cost calculation of the cost calculation item can be realized in the cost calculation service system which is decoupled with the order service system, so that the cost calculation logic of the system is simplified, the cost calculation processing time is reduced, and the cost calculation efficiency is improved.