Aerial work 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

Application Number
CN202610246616.X
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
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

The invention provides a high-altitude operation safety auxiliary navigation method based on an augmented reality technology, and relates to the technical field of high-altitude operation safety. The method comprises the following steps: acquiring a sensor data set and executing preprocessing; performing multi-sensor data fusion processing by using a Kalman filtering method; dimension reduction processing is carried out through a principal component analysis method; constructing a generative adversarial network, and generating a candidate path data set; calculating an optimal operation navigation path by using an improved PPO algorithm; displaying the navigation path and the safety warning information by using AR glasses; and continuously iteratively updating the generative adversarial network and the PPO algorithm based on the real-time change information of the sensor data set. According to the method, the defects of static map navigation and manual guidance in a traditional navigation mode are overcome, and a real-time, efficient and innovative solution is provided for intelligent safety auxiliary navigation in the field of high-altitude operation.
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