4results about How to "Occupies less computing resources" patented technology

The invention provides an IMU (Inertial Measurement Unit)-based multi-sensor fusion positioning method and device and a storage medium. The positioning method comprises the following steps: obtaining an IMU pre-integration result based on a constructed IMU pre-integration model; adding the system positioning result at a moment and the IMU pre-integration result to obtain a system positioning predicted value at the current moment; obtaining original data of the plurality of sensors, and performing preprocessing and synchronization to obtain observation values of the plurality of sensors at the current moment; independently filtering the observation values of the plurality of sensors and the system positioning predicted value at the current moment by using the constructed filtering subsystem so as to obtain updated system positioning predicted values of the plurality of sensors at the current moment; according to the system positioning observation values of the plurality of sensors and the confidence coefficients of the plurality of sensors at the previous moment, updating the confidence coefficients of the plurality of sensors at the current moment; and according to the confidence of the plurality of sensors at the current moment, carrying out weighted summation on the updated system positioning predicted values of the plurality of sensors to obtain a system positioning result at the current moment.

This invention provides an autonomous control method for a drone swarm based on VGG16 and virtual game theory. The drones utilize a pre-trained attitude recognition model to identify the historical movement information of their opponents and calculate the opponent's strategy tendency at the previous moment based on this information. Then, the drones select a candidate action from a set of potential actions, calculating the opponent's strategy tendency and probability of choosing that action according to the game theory formula. A reward function is designed, and the drones select their own action based on the obtained opponent's strategy probability using the optimal response decision rule, observing the changes in the opponent's actions until the entire drone swarm reaches a stable state. This enables the analysis and game theory of multiple surrounding drones. When encountering signal interference, this invention allows some drone units to malfunction while the drone itself can adjust its movement attitude, maintaining relative stability for the entire swarm.

The application discloses a kind of double box girder flow field dynamics modal and flow stability analysis method and system, belong to bridge engineering field.This method first establishes double box girder flow field model by computational fluid dynamics, solves the momentum equation and continuity equation of two-dimensional incompressible flow;Dynamic modal decomposition is carried out again, and eigenvalue, characteristic mode and other information are obtained;Finally, based on linear stability theory, the flow field component is expressed as the sum of steady-state solution and disturbance term, and the global linear flow stability equation is obtained by substituting into the equation, and the flow stability is analyzed by discrete.This method can accurately extract the modal characteristics of each order, providing a scientific basis for wind-induced vibration analysis of double box girder, and has important application value.The method of the application occupies less computing resources, has high numerical accuracy, and can be further expanded to higher precision calculation model according to computing resources, and is suitable for application in actual bridge engineering.

The invention provides an insurance service processing method, device and equipment based on a sub-balanced insurance premium algorithm, and a storage medium, and the method achieves the automatic processing of a life insurance product from parameter input, actuarial modeling, algorithm calculation to insurance policy generation through embedding an innovative sub-balanced insurance premium actuarial algorithm in a life insurance service processing system. The core invention of the method is to construct an insurance premium conversion function model under the constraint of life insurance responsibility reserve fund, perform segmented modeling and dynamic conversion on first-year total insurance premium and non-first-year total insurance premium, and realize the conversion through program codes, so that the defect that a traditional algorithm cannot ensure that the life insurance responsibility reserve fund must be counted and extracted in a compliance manner can be eliminated; and the payment burden of the insurance applicant in the subsequent year can be effectively reduced. The algorithm is high in system efficiency, saves occupied computing resources, is low in underwriting cost, and can reduce the risk of insurance policy information leakage through online operation. The method is suitable for all life insurance products, and can achieve the maximization of guarantee capability, the optimization of anti-risk performance and the intelligentization of business operation.