3results about How to "Reduce flight time" patented technology

The invention provides an unmanned aerial vehicle routing inspection method and system based on semantic guidance and an asset value cost graph, and the method comprises the steps: reasoning a possible distribution region of a target when the target is not directly observed through analyzing the structure law of semantic information, such as an equipment number, a function partition identifier and the like, in a transformer substation; generating a confidence map to guide the unmanned aerial vehicle to efficiently inspect; constructing a semantic cost graph fusing the static asset value and the dynamic operation risk, and quantifying potential loss of different regions when collision or falling occurs; according to the real-time health state of the unmanned aerial vehicle, semantic guidance is emphasized during normal inspection through a dual-guidance function fusion and switching mechanism, and the unmanned aerial vehicle is automatically switched to asset value cost minimization guidance in an abnormal or emergency state to realize safe disposal; the system adopts a framework of semantic reasoning, cost evaluation and flight control module decoupling, and guidance intelligence and control reliability are ensured. According to the invention, the inspection blindness of the unmanned aerial vehicle is obviously reduced, and the abnormality handling risk is reduced.

The application relates to a UAV inspection path planning and optimization system and method, and relates to the technical field of visual detection. The system comprises a data acquisition module for acquiring trajectory data of a plurality of construction safety helmets and trajectory data of a plurality of inspection safety helmets; a site modeling module for collecting real-time modeling data of a construction site based on the trajectory data of the plurality of construction safety helmets, and constructing a real-time three-dimensional model of the construction site; a path constraint module for inputting a constraint condition set of a UAV inspection path; and a path optimization module for generating an optimal UAV inspection path based on the real-time three-dimensional model of the construction site, the constraint condition set of the UAV inspection path, the trajectory data of the plurality of construction safety helmets and the trajectory data of the plurality of inspection safety helmets. The application has the advantages of improving the comprehensiveness and safety of UAV inspection path planning.

This invention discloses a bolt loosening detection method and system based on UAVs and multimodal analysis, belonging to the field of structural health monitoring technology. It includes acquiring structural data of towers to construct a three-dimensional virtual mapping and performing simulation to dynamically generate inspection tracks for the UAV; the UAV simultaneously collects high-definition video and sound field data of the bolts based on the tracks, forming a multimodal data stream; calculations are performed by fusing visual and acoustic features to output quantitative diagnostic results; an active verification process is initiated for abnormal or poorly quality results to obtain supplementary data for correction and form a final diagnosis; a detection report is generated based on the final diagnostic data, constructing a full lifecycle health record. This invention adopts a technical solution combining three-dimensional task planning, multimodal fusion diagnosis, active verification and correction, and full lifecycle management, which can improve detection accuracy and efficiency while achieving dynamic assessment and trend prediction of the health status of bolt components.