Intelligent shooting range training system based on real-time data acquisition

By designing an information analysis module in the intelligent shooting range training system, the behavior and physiological data of trainees are analyzed in real time, the problem that existing systems are difficult to provide personalized training suggestions is solved, and more efficient and scientific training results are achieved.

CN119721442APending Publication Date: 2025-03-28HANGZHOU FULING TECH CO LTD
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Patent Information

Application Number
CN202411651334.5
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-11-19
Publication Date
2025-03-28

AI Technical Summary

Technical Problem

The existing intelligent shooting range training system only focuses on a single aspect of the training effect, and it is difficult to provide personalized training suggestions based on the specific situation of the trainees, and traditional training methods lack scientific verification.

Method used

Design an intelligent shooting range training system based on real-time data acquisition, and analyze the behavioral data and physiological data of trainees through the information analysis module, including posture recognition, action evaluation, physiological index monitoring, etc., to generate personalized training evaluation reports and optimization suggestions.

Benefits of technology

It realizes a comprehensive and in-depth analysis of the training process, provides personalized feedback and optimization suggestions, improves the pertinence and effectiveness of training, and improves the skills and team collaboration capabilities of trainees.

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Abstract

The invention discloses an intelligent shooting range training system based on real-time data acquisition, relates to the technical field of intelligent shooting range training based on real-time data acquisition, and is used for solving the problem that an existing intelligent shooting range training system based on real-time data acquisition only pays attention to a single aspect of a training effect. The system is difficult to provide personalized training suggestions according to specific conditions of trainees; and a traditional training method may lack scientific verification. Comprising a real-time information acquisition module, an information analysis module, a scene analysis module and an optimization processing module. The real-time information is acquired through the real-time information acquisition module, and the behavior and physiological data are analyzed by the information analysis module to obtain comprehensive and deep analysis, so that the pertinence and effectiveness of training are improved; the method comprises the following steps: identifying different scene mode factors and setting corresponding evaluation weights; personalized improvement suggestions are provided for trainees, the best physiological state can be kept, the training effect is comprehensively improved, and the training experience is optimized.
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