7results about How to "Reduce forecasting costs" patented technology

The invention discloses an S-type pitot tube calibration coefficient prediction method based on CFD, and the method is realized through the following steps: S1, carrying out CFD numerical simulation based on parametric modeling, and obtaining a calibration coefficient set of an S-type pitot tube under different installation angle deviations, flow velocity range conditions and environmental parameters; s2, integrating simulation data, and constructing a feature vector data set of the key influence parameters; s3, dividing the data set into a training set and a test set; s3, based on an RBF algorithm, constructing a high-precision nonlinear prediction model by using the training set; and S4, verifying the performance of the model by using the test set, and judging whether the prediction accuracy meets the expectation or not. A CFD simulation technology and a machine learning algorithm are integrated, the problem that a traditional real flow calibration device is limited in capacity and cannot reproduce on-site complex conditions is solved, and a solution is provided for high-precision prediction and correction of calibration coefficients under on-site complex installation conditions and a non-uniform flow field.

This disclosure relates to the field of battery technology, and more particularly to a method, apparatus, electronic device, and storage medium for predicting the cycle life of a battery cell. The method includes: during the cyclic charging and discharging of the battery cell under test, data is collected at intervals of a sampling time threshold to obtain a data set; the cell capacity reduction value is determined based on the data set; and the corresponding cell cycle life is determined based on the cell capacity reduction value. Using this disclosure can reduce the prediction cost and improve the accuracy of predictions for lithium-ion batteries.

The application discloses a kind of beam bridge girder static load deflection prediction methods based on improved AVOA-GRNN network, comprising:1, establish vehicle bridge finite element model and add vehicle bridge uncertainty simulation bridge dynamic static load test, collect dynamic static load test data;2, the above data is selected using the characteristic of pearson linear correlation coefficient;3, using dynamic static load experimental data training GRNN neural network model, and construct the parameter of improved African vulture algorithm optimization GRNN, obtain the corresponding smooth factor when average absolute error is minimum;4, the dynamic load test data of prediction set is substituted into improved AVOA-GRNN network model and carries out static load deflection prediction.The application can use beam bridge girder dynamic load test data to predict corresponding static load deflection, so as to effectively solve the problems, such as high cost of predicting beam bridge static load test, great influence on traffic and easily causing damage to bridge structure.

The objective of the invention is to provide a TFT-based crusher lining plate use state prediction method and system in order to solve the problems of the existing crusher lining plate service life prediction technology. In the invention, the TFT is used as a core backbone structure of the model, and an improved module for explicit alignment and multi-task prediction is added on the basis. The method comprises the following steps: obtaining time sequence data and scalar data by obtaining and preprocessing data related to lining plate consumption; and constructing a life prediction model, and performing feature extraction and prediction on the obtained data to obtain a prediction result. According to the method, a lining plate sensor does not need to be adopted, the cost of the method for predicting the service life of the lining plate is reduced, the prediction accuracy is improved, the state and the use condition of the crusher lining plate can be analyzed in real time, the situation that equipment is shut down abnormally due to abrasion of the lining plate is greatly reduced, and then production is improved and stabilized.

This invention provides a method and apparatus for predicting obstacle trajectories, an unmanned vehicle, and a storage medium. The obstacle trajectory prediction method includes: determining the target road scene currently occupied by the unmanned vehicle based on location information; if the target obstacle's number is among multiple obstacle numbers in the obstacle prediction queue, then determining the target obstacle's motion constraint boundary conditions in the target road scene based on a preset correspondence between the road scene, the obstacle, and the obstacle's motion constraint boundary conditions; if the target obstacle's motion information satisfies the target motion constraint boundary conditions, then obtaining target motion observation information based on the location information and the target obstacle's motion information; and predicting the target obstacle's trajectory within a specified time based on the target motion observation information and size information, thereby improving the effectiveness of the predicted trajectory and reducing prediction costs.

The application provides a life prediction method and device of a circuit breaker contact, a circuit breaker and a medium, and relates to the technical field of low-voltage electrical apparatuses. The method comprises: obtaining an impedance correction coefficient of a contact group in the circuit breaker; obtaining a current thermal capacity of the contact group according to the impedance correction coefficient and a breaking current of the circuit breaker, the breaking current being a current of a closed loop before the circuit breaker performs a breaking operation; and determining a residual life parameter of the contact group according to an initial thermal capacity and a current thermal capacity of the contact group, so that the residual life parameter of the contact group can be determined according to the initial thermal capacity and the current thermal capacity of the contact group based on the impedance correction coefficient of the contact group, and compared with the prior art, the life prediction method can reduce the prediction cost without making great changes to the structure of the circuit breaker.

The present application relates to the field of oil and gas field exploration and development, especially a structural fracture connectivity prediction model and a method thereof. By calculating the ratio of single well isotope intensity and logging natural gamma, the water injection profile type is divided; by calculating the single well rock mechanics parameters, the size and direction of the paleostress in the study area are determined in combination with the rock internal friction angle and the fracture trend. By establishing a single well geomechanics model, the paleostress size in the fracture formation period is simulated, a structural fracture connectivity database model is established, a structural fracture connectivity prediction model is established through correlation analysis, and finally the structural fracture connectivity is predicted, and the result reliability is verified by using dynamic development data. The present application proposes a structural fracture connectivity prediction model and a method thereof, and the prediction result has certain reference significance for fracture genetic mechanism interpretation, fracture connectivity prediction, geological sweet spot evaluation and other aspects.