An artificial intelligence-based low-altitude unmanned aerial vehicle intelligent inspection method and system

By constructing observation zones and anchor point chains, performing heading discrimination and segment reduction, generating straight and curved section inspection control chains, and performing control primitive matching and safety certificate value calculation, the problem of collaborative closed-loop control in low-altitude UAV inspections is solved, improving the continuity of observation and the targeting of flight control, and enhancing safety and the ability to continuously execute inspection tasks in complex environments.

CN122450149APending Publication Date: 2026-07-24YANGO UNIV
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
YANGO UNIV
Filing Date
2026-06-24
Publication Date
2026-07-24

AI Technical Summary

Technical Problem

Existing low-altitude UAV inspection technologies struggle to achieve collaborative closed-loop control in complex environments. Their target alignment stability and fragmented control are insufficient, and their safety control is limited to obstacle avoidance or amplitude limitation, making it difficult to meet the needs for autonomous and refined inspections.

Method used

By using artificial intelligence-based methods, observation zones and anchor point chains are constructed to perform heading discrimination and segment reduction, generating straight and curved section inspection control chains. Control primitive matching and safety certificate value calculation are also performed to achieve flight status prediction and response deviation monitoring. Minimum constraint correction and link reconstruction are carried out to ensure continuous verification and feedback updates of the safe flight control package.

Benefits of technology

It improves the continuity of low-altitude inspections and the targeting of flight control, enhances the closed-loop safety in complex environments and the ability to continuously execute inspection tasks, and realizes a coordinated closed loop of safety constraints, control intentions and actual flight.

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Abstract

The application discloses a low-altitude unmanned aerial vehicle intelligent inspection method and system based on artificial intelligence, relates to the unmanned aerial vehicle flight control technical field, and comprises the following steps: acquiring spatial observation information of an object to be inspected, layering and assigning the spatial observation information to obtain an observation zone and an anchor point chain; discriminating the heading of the observation zone and the anchor point chain and assigning the observation zone and the anchor point chain to segments to obtain a straight-bend segment inspection control chain, performing segment attribution matching on the straight-bend segment inspection control chain to obtain a current inspection segment, performing constraint fusion on the current inspection segment to obtain a current inspection control state; performing control primitive matching on the current inspection control state to obtain a flight control primitive, performing control quantity calculation on the unmanned aerial vehicle according to the flight control primitive to obtain an initial flight control intention; and the application realizes the cooperative closed loop of safety constraint, control intention and actual flight by performing minimum constraint correction on the control intention through flight state prediction and safety certificate value.
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