7results about How to "Resolve delay" patented technology

The application discloses a self-adaptive multi-modal data fusion bridge health monitoring method and system, generates a response sample database through establishment of a bridge nonlinear dynamics equation, pre-processes bridge sensor data and trains a deep learning model to extract damage features, and self-adaptively optimizes model parameters; based on model output, real-time and historical data are combined to perform bridge health evaluation, and a monitoring strategy is dynamically adjusted or early warning is triggered; an edge computing device is deployed to perform pre-processing and damage identification, and long-term trend analysis is realized in cooperation with a cloud platform; macro-structure damage and micro-crack data are fused through cross-scale feature extraction; an artificial intelligence algorithm is used to generate a bridge health evaluation result, a bridge maintenance and repair scheme and a decision-level early warning signal. The application combines nonlinear dynamics modeling, self-adaptive deep learning, edge cloud collaborative computing and cross-scale analysis, improves complex damage identification precision and monitoring intelligent level, and is suitable for large-scale traffic network bridge monitoring management.

This utility model discloses a two-piece diving suit, relating to the field of diving suit technology. It includes a diving suit and diving pants, both with an inner protective layer. This protective layer comprises, from the inside out, a skin-friendly layer, a carbon nanotube heating film, a graphene textile fabric, a thermal insulation layer, microcapsules, a rubber layer, an air bladder, an inner lining, a mounting groove, and an outer layer. During use, the diver quickly puts on the two-piece diving suit and diving pants via a waterproof zipper. A water-sealed collar and waist seal form a sealed protective structure. A battery then powers the carbon nanotube heating film and graphene textile fabric, generating heat. This heat, combined with the microcapsule phase change material, regulates body temperature. During diving, the skin-friendly protective layer ensures comfort, and the graphene textile fabric assists in heat conduction. This device actively combats cold water environments, solving the problem of delayed insulation caused by traditional diving suits relying on heavy, passive materials.

This invention discloses a vehicle-mounted drone video automatic shooting and generation system and method, belonging to the field of drones. The system includes: a vehicle-side component, comprising a main control unit, a data communication gateway, a vehicle and environmental status perception module, an interactive interface, and a cabin power supply interface; a drone-side component, comprising an airborne controller, a communication module, a drone status perception module, and a shooting and flight module; and a cloud-side component, comprising a cloud server. Both the main control unit and the cloud server have built-in AI engines. The main control unit is connected to the data communication gateway, the vehicle and environmental status perception module, the interactive interface, and the cabin power supply interface; the airborne controller is connected to the communication module, the drone status perception module, and the shooting and flight module; and the data communication gateway is connected to the communication module and the cloud server. This invention enables fully automatic generation of high-quality videos in outdoor mobile scenarios.

This invention provides a method for transmitting railway Building Information Modeling (BIM) model files based on distributed storage. The method includes: lightweight decomposing the railway BIM model file into multiple sub-files; distributing these sub-files across edge server nodes using a cloud server; transmitting the sub-file list to a gateway; constructing a BIMdex index model; training the BIMdex index model using a training dataset; deploying the trained BIMdex index model locally on the gateway; and when an end device sends a file request carrying a file identifier to the gateway, the BIMdex index model in the gateway queries the sub-file list based on the file identifier, obtains the corresponding BIMdex address index, and returns it to the end device. This invention significantly improves data transmission efficiency by distributing sub-files of the same railway BIM model across multiple physical nodes and combining this with load balancing technology.

This invention belongs to the field of industrial fault diagnosis and intelligent operation and maintenance technology. It discloses a human-computer collaborative fault diagnosis reasoning and maintenance decision support method and system enhanced by Large Language Model (LLM). The steps are as follows: (1) Construct a multi-dimensional industrial knowledge graph integrating alarms, phenomena, causes, and solutions. Through the character-level and semantic-level similarity fusion mechanism driven by the LLM, high-fidelity entity fusion and full causal chain modeling are achieved; (2) The LLM is used to complete entity extraction, knowledge purification, and path refinement. The accuracy and consistency of the knowledge graph are improved through redundancy pruning, semantic merging, and logical sorting; (3) The framework is deployed on a portable edge intelligent system. Local real-time reasoning is achieved based on heterogeneous hardware architecture, and a knowledge closed loop is formed by combining human-computer interaction. This invention effectively improves the accuracy, interpretability, and security of fault diagnosis, realizes real-time operation and maintenance decision support, and is suitable for complex and dynamic industrial fault diagnosis scenarios.

This application discloses a non-blocking data communication method and system based on priority inheritance. The method includes: obtaining the calling end and priority of a target communication task, wherein the calling end of the target communication task is a sender or a receiver; obtaining the current message queue status of inter-thread communication; when the message queue status reaches a preset boundary condition corresponding to the calling end, adjusting the priority of the interacting end of the calling end to the target priority; wherein the interacting end of the calling end is a non-calling end among the sender and receiver, and the target priority is greater than or equal to the priority of the calling end; and executing the target communication task based on the adjusted priority of the interacting end, thereby realizing inter-thread communication between the sender and receiver. The data communication method provided by this application, when the message queue status of inter-thread communication reaches a preset boundary condition, avoids high-priority tasks being blocked due to the low priority of the peer end by adjusting the priority across ends through cross-end priority inheritance, thus ensuring data processing efficiency.

This invention relates to the field of wind energy forecasting technology, and more particularly to a method, system, device, and storage medium for early warning of extreme offshore wind power events based on typhoon forecasting. The method includes acquiring real-time satellite cloud images; identifying and marking regions of typhoons in the satellite cloud images based on their morphological characteristics; obtaining the pixel coordinates of the centroid of these regions and converting them into actual latitude and longitude coordinates to obtain the typhoon's eye coordinates; acquiring infrared satellite cloud images; obtaining the maximum wind speed radius based on the typhoon's eye coordinates; and estimating the current maximum wind speed using a preset wind speed model; calculating the typhoon's short-term trajectory, future maximum wind speed, and maximum wind speed radius using a preset typhoon short-term dynamics integrated prediction model; and predicting the typhoon's impact on a designated location within a future timeframe using a preset typhoon physical model, and calculating the wind speed and direction at that location.