9results about How to "Guaranteed real-time updates" patented technology

The invention discloses a terrain-level real-scene three-dimensional entity and element dynamic updating method, which comprises the following steps: S1, data acquisition and preprocessing: acquiring data of a target area by an acquisition mechanism based on entity and element type priorities, and preprocessing the acquired data to obtain model data of the target area; s2, change detection: comparing newly collected model data with historical model data, and identifying a change region and type; s3, entities and elements are extracted and updated, wherein the entities and the elements of the change area are processed to obtain updated models; s4, model fusion and optimization: fusing the updated entity and element model with the original model, and realizing efficient acquisition and preprocessing of target area data by using the multi-source surveying and mapping equipment and an acquisition mechanism based on entity and element type priorities; by dividing the small regions according to the region characteristics and correcting the acquisition frequency, the resource allocation is optimized, and the pertinence and efficiency of data acquisition are improved.

The invention provides a fault positioning method and device for a box-type substation, and the method comprises the steps: obtaining a topological structure of the box-type substation, and recognizing all switch nodes and terminal equipment nodes; according to the current flow direction and the electric energy transmission path, establishing a directed graph model of the box-type substation; a sensor array is deployed on the switch node and the terminal equipment, electrical parameters of a deployment area are monitored in real time, fault detection and signal analysis are carried out according to a set threshold value, and a fault signal is determined; according to the current flow direction in the topological structure and a fault signal in the sensor data, analyzing the current flow direction at the fault moment, determining a monitoring area where the fault signal is located, and preliminarily positioning a fault area; and according to the change rate of the voltage and the current of the preliminarily positioned fault area, the distance from the fault point to the nearest sensor is calculated by combining cable parameters and transmission delay, the fault position is accurately positioned, and rapid and accurate positioning of the fault is realized.

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.

The invention relates to the technical field of automatic driving, and relates to a high-precision map optimization method and device, computer equipment, a computer readable storage medium and a computer program product. The method comprises the following steps: acquiring original map related data from at least one data source; performing preprocessing operation on the original map related data, wherein the preprocessing operation comprises cleaning and denoising and space-time alignment; performing feature matching among different data sources according to the pre-processed map related data to obtain a successfully matched feature set; according to the successfully matched feature set, training to obtain a target map model; performing space optimization on the target map model to obtain the target map model after version updating; and pushing the target map model of which the version is updated to a vehicle system through the cloud. By adopting the method, dynamic updating and real-time synchronization can be realized, and the accuracy and timeliness of map information are ensured.

The invention discloses a method for displaying real-time inventory data of steel coils in a silicon steel reservoir area, which comprises the following steps of: determining a reservoir area layout according to input design information; processing the data table according to the received message; and displaying a visual display graph of the reservoir area according to the layout of the reservoir area and the data table. According to the invention, integration and visual display of the steel coil stock information are realized, the display intuition of the stock information is improved, a decision maker can adjust a production plan according to the stock information, and the production efficiency is improved.

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.

The present application discloses a data management method based on dynamic forms, which relates to the field of data processing technology. The method includes: receiving a personnel information processing request, and determining the operation type of the personnel information processing request and the approval form field corresponding to the operation type; generating a dynamic form window according to the operation type and the approval form field; obtaining the data corresponding to the approval form field, and filling the data into the approval form field corresponding to the data in the dynamic form window; receiving a modification instruction submitted based on the dynamic form window, obtaining the modification data of the approval form field according to the modification instruction, and synchronizing the modification data into the personnel information table. The present application dynamically generates a form window by receiving a personnel information processing request, so that the user can enter or modify data in the corresponding approval form field according to the operation type, and finally synchronize to the personnel information table, thereby ensuring the real-time update of information.