Routing-inspection disaster-prevention system for precise-positioning ultra-long endurance unmanned aerial vehicles

Abstract

The invention discloses a routing-inspection disaster-prevention system for precise-positioning ultra-long endurance unmanned aerial vehicles. The system comprises a plurality of positioning base stations and a plurality of unmanned aerial vehicles, wherein each of the base stations comprises a first radio frequency communication module and a first central processing module; the first radio frequency communication module is connected with the first central processing module; each of the unmanned aerial vehicles includes a second radio frequency communication module, a horizontal distance and height measurement module, a video image collection and transmission module and a second central processing module; the second radio frequency communication module, the horizontal distance and height measurement module and the video image collection and transmission module are respectively connected with the second central processing module; and the first radio frequency communication modules of the base stations and the second radio frequency communication modules of the unmanned aerial vehicles are wirelessly connected. According to the system, the positioning of the unmanned aerial vehiclesand the guidance of the cruise route are implemented through wireless communication between the unmanned aerial vehicles and the base stations, and the positioning of the designated charging positionis implemented; the accuracy of the positional positioning information reaches the centimeter level and the system has very high positioning accuracy.

Description

[0001] Technical field: [0002] The invention relates to the technical field of unmanned aerial vehicles, in particular to an inspection and disaster prevention system for an ultra-long-endurance unmanned aerial vehicle with precise positioning. [0003] Background technique: [0004] Disaster prevention in forests, grasslands, and farmland is mainly to prevent fires, rat disasters, and insect disasters. Currently, disaster prevention and prevention for agriculture, forestry, and pastures mainly rely on video surveillance. [0005] At present, disaster prevention in agriculture, forestry and pasture relies on traditional video surveillance to monitor fires, rat disasters, insect disasters, etc. Due to the point setting, traditional video surveillance cannot be repaired in time after a fault occurs, which brings blind spots to monitoring. The rapid development of UAV technology has supplemented the shortcomings of traditional video surveillance cameras, brought new perspectives...

AI Technical Summary

Problems solved by technology

The current status of the drone inspection system: the positioning information of the drone comes from the GPS system, which can provide large-scale inspection and positioning information, but for the charging station or platform that needs to be located at a designated location for the automatic charging of the drone, GPS Positioning accuracy is poor

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