3 results about "Event selection" patented technology

The present application relates to the field of particle physics experiment data acquisition and processing, and specifically discloses an online AI triggering and data compression method and device for particle detector readout electronics, wherein the method realizes real-time feature extraction on the output pulse signal of the detector, uses a pre-trained fully connected neural network model to realize high-precision triggering decision, adopts a compression strategy combining adaptive quantization and entropy coding to compress effective event data, and simultaneously introduces a quality feedback mechanism based on peak signal-to-noise ratio to form a closed-loop control. The present application realizes intelligent collaborative processing of triggering decision and data compression, significantly improves the event selection efficiency and data compression quality under the premise of ensuring data physical integrity, and provides an efficient real-time data processing solution for high-count-rate particle physics experiments.

This application provides a data deduplication method, apparatus, electronic device, and machine-readable storage medium. The method includes: determining a target event for which a deduplication strategy is configured based on a detected event selection instruction; determining a target deduplication strategy for the target event based on a detected candidate deduplication strategy selection instruction; and performing deduplication processing on the received alarm data of the target event according to the target deduplication strategy. This method can flexibly configure deduplication strategies for different specific events, optimize the deduplication effect of alarm data, and effectively reduce the processing of duplicate alarm data.

The application provides a kind of offshore wind power discrete event simulation optimization event selection method, system, equipment and medium based on greedy algorithm, the method comprises the following steps: S1: establishing discrete event simulation procedure queue;S2: establishing executable procedure queue;S3: analysis executable procedure list under current step;S4: complete pre-simulation: compare all pre-simulation results, select the highest resource utilization based on greedy algorithm to determine the next simulation event of discrete event simulation, after the event simulation ends, the influence of the procedure is dynamically updated, to prepare for the next round of simulation.The application is for complex offshore wind power construction model, through optimizing simulation procedure selection logic, the method improves construction resource utilization and construction efficiency.