Unmanned aerial vehicle behavior supervision system and method

Abstract

The invention relates to an unmanned aerial vehicle behavior supervision method, which comprises the steps: collecting real-time data of all sensors carried on an unmanned aerial vehicle, carrying outdata fusion, and generating a whole-network unique identification number of the unmanned aerial vehicle by the sensors according to an equipment serial number by applying hash operation; carrying outdata processing on the fused sensor real-time data; transmitting the sensor real-time data after data processing to a local server; authenticating the transmitted sensor real-time data in the local server; and performing Tangle network authentication on the sensor real-time data authenticated by the local server. The invention also relates to an unmanned aerial vehicle behavior supervision system. On the premise of ensuring the data privacy, the unmanned aerial vehicle behavior supervision method can guarantee the authenticity, credibility and completeness of the data in the whole process, isconvenient for a supervisor to monitor the state of the unmanned aerial vehicle in real time, and can guarantee that the phenomena of unregistered flying and the like are completely eradicated.

Description

technical field [0001] The invention relates to a system and method for unmanned aerial vehicle behavior supervision. Background technique [0002] With the advancement of image recognition, wireless remote sensing, automatic cruise and other technologies, as well as the structural decline of the hardware cost system caused by "Moore's Law", drones have shown extremely high development potential in many key fields around the world and application prospects. With low cost, flexible maneuverability, all-weather ultra-long cruising distance, and increasingly convenient man-machine control, UAV systems have been widely used in many fields such as police patrols, weather detection, agricultural and forestry surveys, and land exploration. However, with the increasing popularity of drones, the resulting safety hazards such as interference with civil aviation flights, falling injuries, privacy leaks, and "black flights" are also increasing. According to the latest data released by...

AI Technical Summary

Problems solved by technology

[0005] In short, there are many disadvantages in the traditional UAV behavior supervision method: (1) It is highly dependent on the user's self-consciousness. If the user deliberately does not upload data, the UAV cannot be supervised; (2) The system cannot confirm whether the data uploaded by the user is correct or not. There are malicious forgery behaviors; (3) For centralized servers, it is impossible to ensure that uploaded data will be tampered with, deleted by administrators without permission, or lost by accidental disasters

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