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Unmanned aerial vehicle behavior supervision system and method

A monitoring system and drone technology, applied in transmission systems, digital transmission systems, and key distribution, can solve the problem of inability to ensure private data tampering, deletion, accidental disaster loss, inability to confirm whether there is malicious forgery of data, and relying on user conscious Sexuality and other issues to achieve the effect of promoting healthy and vigorous development, protecting privacy, and ensuring data security

Active Publication Date: 2019-10-22
SHENZHEN INST OF ADVANCED TECH +1
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  • Abstract
  • Description
  • Claims
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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

Method used

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  • Unmanned aerial vehicle behavior supervision system and method

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Embodiment Construction

[0026] The present invention will be described in further detail below in conjunction with the accompanying drawings and specific embodiments.

[0027] refer to figure 1 Shown is a schematic diagram of the implementation environment of the present invention. The implementation environment of the present invention consists of a drone 11, a local server 12, a Tangle network 13 composed of local servers as nodes, and an external server 14.

[0028] Wherein, the UAV 11 can be a UAV of various models or purposes, which includes multiple sensors such as track, height, speed, image, etc.

[0029] The local server 12 is one of the distributed servers configured in the planning area, may be a network server, or may be any other applicable computer. Each Tangle local server 12 constitutes a node of the Tangle network 13 .

[0030] The Tangle network 13 is composed of multiple local servers 12 . In the Tangle network, all transactions sent by nodes constitute the collection of this d...

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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...

Claims

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Application Information

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IPC IPC(8): H04L9/06H04L9/08H04L9/32H04L29/06H04L29/08
CPCH04L9/0643H04L9/0866H04L9/3247H04L63/0442H04L63/0876H04L67/12
Inventor 苏联灯曲强叶文倩
Owner SHENZHEN INST OF ADVANCED TECH
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