High-altitude operation safety auxiliary navigation method based on augmented reality technology

By combining generative adversarial networks and an improved PPO algorithm with multi-source sensor data, navigation paths are generated and evaluated in real time. This solves the problems of insufficient adaptability and real-time performance of traditional high-altitude operation navigation methods in complex environments, achieving efficient and accurate safety-assisted navigation and improving the safety and efficiency of operators.

CN122408757APending Publication Date: 2026-07-17JIANGSU POWER TRANSMISSION & DISTRIBUTION CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
JIANGSU POWER TRANSMISSION & DISTRIBUTION CO LTD
Filing Date
2026-03-02
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

Traditional navigation methods for high-altitude operations cannot respond to environmental changes in a timely manner in complex and high-risk environments, resulting in a mismatch between navigation information and the actual environment, increasing operational risks, and making it difficult to achieve dynamic path optimization and accurate safety prompts.

Method used

By employing generative adversarial networks and an improved PPO algorithm, combined with multi-source sensor data, multiple candidate navigation paths are generated and evaluated in real time. Navigation signs and safety prompts are displayed using augmented reality technology, and navigation strategies are dynamically adjusted.

Benefits of technology

It enables real-time and precise navigation and safety assistance in high-altitude work environments, significantly improving navigation accuracy and flexibility, reducing operational risks, and enhancing operational efficiency and safety.

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Abstract

本发明提供了一种基于增强现实技术的高空作业安全辅助导航方法,涉及高空作业安全技术领域。本方法包括以下步骤:采集传感器数据集并执行预处理;使用卡尔曼滤波方法进行多传感器数据融合处理;通过主成分分析方法进行降维处理;构建生成对抗网络,生成候选路径数据集;使用改进后的PPO算法计算最优作业导航路径;使用AR眼镜显示导航路径和安全警示信息;基于传感器数据集的实时变化信息,不断迭代更新生成对抗网络和PPO算法。该方法克服了传统导航方式中静态地图导航和人工引导的不足,为高空作业领域的智能化安全辅助导航提供了一种实时、高效且具有创新性的解决方案。
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