12results about How to "Live Update" patented technology

The invention relates to the technical field of semiconductor test equipment, in particular to a full-automatic high-precision probe station, which utilizes multi-physics field coupling sensing and compensation to remarkably improve the positioning precision: by comprehensively collecting multi-physics field data such as a temperature field and a stress field and combining a coupling algorithm to optimize a compensation strategy, multi-factor interference is effectively counteracted, and the accuracy of the probe station is improved. The positioning repetition precision can reach + / -0.05 [mu] m, and the test requirement of the advanced semiconductor technology is met; a dynamic three-dimensional modeling technology and dynamic adaptability enhancement are achieved, a dynamic three-dimensional modeling system with the size affected by multi-physical field data can update the form of a test target in real time, test deviation caused by target deviation or surface fluctuation is avoided, and the adaptability of equipment to a complex test scene is improved. The automation degree is high, the testing efficiency is improved, the whole process of data acquisition, modeling, compensation and testing can be completed without manual intervention, the calibration process is simplified, the testing period is shortened, and the method is suitable for batch detection scenes.

This invention relates to the fields of artificial intelligence, multi-agent collaborative scheduling, and federated security management. Specifically, it is a federated capability management and unified scheduling system for multi-agent collaboration, comprising: a central scheduler receiving collaborative task requests across multiple local agent nodes and obtaining capability declaration information containing only the capability tags of the local agent nodes; constructing prompt word templates and generating an initial fine-grained task decomposition scheme; extracting cross-domain call links, statistically analyzing the frequency of cross-domain calls and data interaction dimensions, predicting the communication interruption probability of local agent nodes and comparing it with a security risk threshold; if the probability is lower than the threshold, a fine-grained scheme is adopted; if the probability is higher than or equal to the threshold, a minimum-privilege interaction coarse-grained scheduling scheme is generated and distributed; and local agent nodes executing sub-tasks and reporting their status to maintain core business continuity without exposing underlying private data.

The present application belongs to the technical field of port safety monitoring, and specifically relates to a method and system for identifying personnel approaching a cable launching area in a port, a terminal and a storage medium, which comprises selecting a fixed cable column of a port berth as a physical reference, using a high-resolution network camera to collect panoramic images of the port berth, using a pre-trained YOLOv8 deep learning model for multi-target segmentation, and performing secondary focusing identification to quickly and accurately identify personnel, cables, cable columns and ship outline targets, and by obtaining dynamic factors such as cable tension and ship docking angle, the reference radius of the dangerous area is corrected by combining the corresponding calculation formula, and a dynamic dangerous area polygon is generated, fully considering the dynamic changes of the port operation environment, which can update the dangerous area in real time, making the division of the dangerous area more in line with the actual situation, avoiding misjudgment and missed judgment due to the fixed dangerous area, and improving the accuracy and effectiveness of safety management.

The application provides a coal rock fracture track dynamic identification and real-time prediction method. The method establishes a coal rock internal and external fracture development track identification model, tracks the coal rock internal and external fracture development track in real time, and realizes the dynamic identification of the fracture development track combined with the coal rock internal and external fractures. A real-time self-correction prediction model of the coal rock internal and external fractures is constructed, the prediction results of the coal rock internal and external fracture development track are corrected in real time, and the dynamic forward prediction of the coal rock internal and external fracture development path is realized. The coal rock fracture identification and prediction model constructed by the application can master the coal rock mass fracture development in real time, and the self-correction prediction model has the characteristics of wide applicability, high reliability and high precision, and is suitable for coal rock fracture development in different prediction scenes. Based on the real-time identification and self-correction prediction model of the coal rock internal and external fractures, the coal rock stability can be determined and predicted in time.

The invention provides a game score recording method and device, electronic equipment, a computer program product and a computer readable storage medium. The method comprises the steps that a first recording interface for games is displayed, a mode selection control is displayed on the first recording interface, each game comprises multiple rounds of games, the interaction score of each game is obtained by accumulating scores of all players in the multiple rounds of games, and the scores of all players in each round of games are determined and obtained based on the games result; in response to a mode selection instruction triggered based on the mode selection control, displaying a selected mode, in the selected mode, in response to a recording start instruction, displaying an initial score of each game party and a recording control corresponding to the selected mode, the recording control being used for recording the score by taking the initial score as a starting point of the score recording; and recording the score of the game partner in each round of game in the game. According to the method and the device, the score recording efficiency is improved, and the accuracy of the recorded score can be ensured.

The application discloses an intelligent control method and system for adaptive blood vessel retraction force and blood flow monitoring. The method first collects dynamic speckle images of blood vessels in the surgical area in real time, and synchronously collects retractor positions, blood vessel wall pressures and patient physiological parameters; processes and fuses the collected multi-modal signals to construct input features; based on the input features, uses online incremental learning and deep learning to establish and update patient-specific vascular dynamics models and blood flow dynamics prediction models in real time; based on the input features and the prediction models, predicts future blood flow dynamics states; combines the individualized vascular dynamics models and the predicted states to generate optimal retractor control instructions through model predictive control algorithms; finally, executes the instructions and monitors the blood flow in real time, and optimizes the two core models online according to the feedback differences, so as to realize adaptive and accurate regulation and control of the blood flow stability during the operation.

The invention discloses a locomotive servicing size measuring and scheduling method, system and device and a storage medium, relates to the technical field of locomotive maintenance management, and aims to solve the problem that manual measurement data and duration are not standard. After the locomotive enters the field, generating a measurement work order, associating the measurement work order with the measurement tool, the train number and the measurement guidance process, updating the measurement work order, and distributing the measurement work order according to the priority; a measurement work order is bound with the worker, a measurement tool is distributed after the identity of the worker is identified, the worker is guided to a measurement station, and the worker is guided to carry out a measurement task; receiving the uploaded field measurement data, predicting the current measurement data based on the historical measurement data and the standard reference data, comparing the field measurement data with the prediction data, and storing the field measurement data conforming to a deviation threshold value; and guiding a worker to carry out supplementary measurement on data exceeding the deviation threshold. According to the method and the system, the measurement data quality is ensured, and the measurement time is shortened.

The invention discloses a method, a device and a system for acquiring information of equipment under a gateway, and belongs to the field of multilevel networking, and the method comprises the following steps: based on a predefined two-layer private communication protocol, executing at least one of the following information cooperation operations between an upper gateway and a lower gateway: the upper gateway receives a first report message from a lower gateway, according to the change information of the user equipment area of the lower-level gateway, updating the information of the lower-level equipment area of the upper-level gateway; the superior gateway sends a first query message to the subordinate gateway based on the query instruction, and updates information of a downlink device area of the superior gateway according to device information, corresponding to the query range, in a second report message returned by the subordinate gateway; and the superior gateway receives the synchronization request message from the subordinate gateway and returns corresponding equipment information to the subordinate gateway, so that the subordinate gateway updates a user equipment area of the subordinate gateway based on the equipment information returned by the superior gateway. According to the method, the collection efficiency and accuracy of the information of the hanging equipment are improved.

This invention discloses a data security detection method and system based on big data analysis, comprising the following steps: Step 1: Preprocessing the raw data to be processed and dividing it into multiple temporal subsets; Step 2: Constructing a temporal behavior pattern graph based on the temporal data subsets; Step 3: Extracting behavioral features of nodes from the temporal behavior pattern graph and performing clustering; Step 4: Inputting the attack pattern feature vector set into an improved GATv2 model for propagation analysis to obtain the attack pattern propagation path; Step 5: Updating the attack pattern library based on the attack pattern propagation path; Step 6: Generating different response tasks for different attack patterns and generating a task response strategy set; Step 7: Selecting the corresponding task response strategy to execute the defense task and generating a set of defense response results after execution. This invention achieves efficient and accurate network attack identification and protection through the improved GATv2 model.

The invention provides an air-ground cooperative cross-carrier multi-source fusion perception and terrain modeling method and system. The system comprises a ground robot unit, an unmanned aerial vehicle unit and a cooperative control center unit. The ground robot unit is responsible for collecting data and detecting obstacles; the unmanned aerial vehicle unit cruises to take off and land at low altitude, and images and elevation data are obtained through an oblique photography camera and a laser radar; the cooperative control center unit interacts with the ground robot unit and the unmanned aerial vehicle unit through wireless communication to realize data fusion and task allocation, and the high-altitude global detection capability of the unmanned aerial vehicle and the near-earth fine sensing advantage of the ground robot are cooperated and complemented, so that the detection limitation of single equipment is overcome, and the detection efficiency is improved. The all-directional coverage of topographic information is realized, and the elevation precision and detail integrity of the generated topographic map are remarkably improved.

The utility model discloses an electronic instrument metering state identification device and an identification system comprising the same, which belong to the technical field of instrument metering and comprise a receiving module, a display module, a light module, a positioning alarm module and a power supply module. The signal is received through the receiving module, the display module is controlled to display instrument information according to the received signal, the light module is controlled to display the metering state and the validity period state of the instrument, and the positioning alarm module is controlled to give out a sound-light alarm to position the position of the instrument. The electronic instrument metering state identification device and the identification system comprising the electronic instrument metering state identification device are simple in structure, convenient to operate, capable of being repeatedly used, convenient to display the metering state and the validity period state, high in identifiability, convenient to position the instrument and high in reliability. The instrument can be quickly positioned in actual work, the metering state of the instrument and the calibration work of the instrument can be more conveniently checked, and normal use of the instrument is guaranteed.

This invention discloses a method for marking tobacco material information, including controlling the tobacco material to be conveyed on the discharge bottom conveyor at a certain stacking height I; controlling the next batch of tobacco material to be conveyed on the discharge bottom conveyor at another stacking height II; and so on, until all batches of tobacco material are discharged; the stacking height I, stacking height II, etc., change according to a certain pattern as the batch quantity of tobacco material is updated; by knowing the current stacking height of the tobacco material on the discharge bottom conveyor and the pattern of stacking height change, the batch data of this tobacco material can be obtained. This method aims to improve the efficiency of tobacco material tracking, management and traceability characterized by assembly line operations. By adopting dynamic stacking marking technology, this method can monitor and update tobacco material information in real time, providing more accurate and reliable data for production and supply chain management.