4results about How to "Ensure data security" patented technology

This invention discloses a multi-agent air-to-ground network resource allocation method based on federated learning. In the air-to-ground network, the ground network constitutes high-data-rate V2I links; the air network constitutes V2U links for direct communication with ground vehicles; the V2U links share the spectrum resources of the V2I links and use hybrid spectrum access technology for transmission; a network resource allocation system model consisting of M pairs of V2I links and K pairs of V2U links is constructed; a multi-agent resource allocation method is adopted, and a deep reinforcement learning model is constructed with the goal of minimizing the total transmission delay of the V2I link channels; federated learning is used to optimize the deep reinforcement learning model; during the execution phase, the V2U links obtain their current state based on observations, and the optimal resource allocation strategy is obtained using the trained model. This invention exhibits good stability in highly dynamic air-to-ground networks.

This invention relates to the field of electric vehicle charging technology, and discloses a method and system for optimizing charging fees for charging piles based on dynamic rates. The method includes: collecting multi-dimensional feature data and user charging data, performing preprocessing and feature extraction; constructing and training a charging demand prediction model to predict charging demand in real time; constructing a price response model and combining it with a charging load prediction curve for dynamic rate optimization; performing user cluster analysis and designing personalized incentive strategies; setting rate information release rules and dynamically scheduling charging resources; collecting operational data and user response data in real time, and optimizing the charging demand prediction model and price response model based on the charging load prediction curve; and performing data encryption and privacy protection. This invention, through a personalized incentive mechanism, formulates differentiated incentive strategies for three types of users: price-sensitive, time-sensitive, and convenience-first.

This invention relates to the fields of computer vision and artificial intelligence, specifically to a knowledge-guided meter reading method and system based on a large visual language model. The method includes: a template acquisition step: acquiring a meter image and retrieving a structured reading prompt template containing metadata and inference logic instructions based on the type; a multimodal input step: inputting the image and template as multimodal data into a large visual language model; an inference generation step: extracting visual features and aligning them with the template's attention, executing thought chain inference in response to instructions, and generating a natural language description result containing intermediate inference evidence; and a parsing output step: performing structured parsing on the result and extracting meter reading values ​​that conform to format constraints. This invention achieves a deep integration of business logic and visual perception, establishes human-computer trust, and avoids logical fallacies inherent in purely visual models.

The application discloses a data authority management method and device based on employee functions, and the method comprises the following steps: acquiring function information of an employee, wherein the function information comprises a plurality of function attributes; constructing a plurality of attribute columns based on the function information, wherein each attribute column corresponds to one function attribute; searching for attribute field data corresponding to each attribute column, and adding the attribute field data to the attribute column; and assigning operation authority to the attribute column according to the importance level of the attribute field data and the employee level of the employee. According to the function information of the employee, the operation authority of the employee to the data can be determined, the data in the enterprise is divided and isolated according to the personal function of the employee, the different data can be conveniently used by each employee under the condition of ensuring the safety of the enterprise data, and the operation efficiency in the enterprise is improved.