4results about How to "Guaranteed real-time updates" patented technology

This application provides a business optimization method, apparatus, device, medium, and program product, which can be applied to the field of artificial intelligence technology, involving the application of large models in fintech scenarios. The method is executed by a management server, which communicates with a terminal device. The method includes: receiving queuing information sent by the terminal device; sending a first input interface to the terminal device based on the queuing information; in response to receiving a candidate business type input through the first input interface, determining the current queuing state corresponding to the candidate business type, generating queuing information corresponding to the current queuing state, and sending it to the terminal device; sending a second input interface to the terminal device; and in response to receiving a target business type input through the second input interface, using a preset time estimation model based on the target business type and queuing information to estimate the expected waiting time for the user on the terminal device and sending it to the terminal device.

This invention discloses a method for constructing a digital twin for a water electrolysis hydrogen production system, relating to the field of digital twin technology. The method includes: collecting multi-source operational data from the water electrolysis hydrogen production system, extracting all sampling points, constructing proximity relationships between all sampling points to form a proximity connection graph; traversing the proximity connection graph, organizing the shortest path distances between all pairs of sampling points to form a high-dimensional spatial distance matrix, using multi-dimensional scaling transformation to map the sampling points to a low-dimensional space, establishing a correspondence between the low-dimensional coordinate vectors and the high-dimensional original data, forming a digital twin state representation model; based on the state representation model, constructing a probabilistic graphical model containing three types of nodes: components, sensors, and state variables; setting initial node confidence and information transmission rules, iterating until the confidence stabilizes; performing corrections based on node state deviations; and iterating in real-time according to the correction cycle to achieve real-time synchronization between the digital twin and the water electrolysis hydrogen production system.

The application belongs to the technical field of automobile electronic testing, and relates to an automobile intelligent cockpit display and automatic test system based on deep learning, aiming to solve problems such as low efficiency of traditional manual testing, poor adaptability of automatic tools, insufficient test coverage, lack of full-process closed loop, and difficulty in model deployment, and realize intelligent, high-precision and automatic test of cockpit display functions. The system constructs a special cockpit display dataset, collects images of multiple vehicle instrument screens and central control screens, covers fault icons, ADAS prompt texts and various lighting environments, and improves the model generalization ability through data enhancement. In view of the small target icon detection and text recognition efficiency problems, the YOLOv8 model is improved, the detection precision is improved through optimization of anchor frame; the SVTR text recognition model is improved, a lightweight network structure is introduced, the parameter quantity is reduced and the inference speed is improved. The system integrates data collection, signal simulation, visual recognition, result evaluation and report generation modules, realizes automatic analysis of test cases, CAN signal interaction, display response detection and automatic generation of test reports.

This invention proposes an efficient K-short path calculation method and system for dynamic road networks, relating to the field of path planning technology. It involves obtaining multiple OD pairs from a directed graph of the road network, constructing a list, and initializing it. For each OD pair, a shortest path is calculated, and a set of deviation paths is constructed based on the shortest path. The shortest path and the set of deviation paths are stored as an initial K-short path set. When the edge weights of the road network structure are adjusted, potentially affected OD pairs are screened based on the changed edge attributes and the initial K-short path set. The initial K-short paths from the potentially affected OD pairs are obtained, and a substantial impact test is performed: if an initial K-short path does not contain any changed edges, and its path cost is less than the total cost of potential new paths constructed from the changed edges, then the path is retained; otherwise, the path is deleted. New paths are supplemented based on the set of deviation paths until K shortest paths are satisfied, thereby significantly reducing computational complexity and improving the efficiency and accuracy of path updates in dynamic scenarios.