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UAV cruise system based on deep neural network and blockchain

A deep neural network and UAV technology, applied in the field of UAV cruise system, can solve the problems of lack of perception ability of UAV cruise technology, easy data interception and cracking, and flight accidents. The effect of increasing system load and convenient calculation

Inactive Publication Date: 2021-10-08
JILIN UNIV
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AI Technical Summary

Problems solved by technology

In addition, in the existing drone cruise, the data interacted between the drone and the ground is easy to be intercepted and cracked, and the security performance is low
[0003] Therefore, the existing UAV cruise technology has the problems of lack of perception of complex environmental factors, prone to flight accidents, and low system safety performance.

Method used

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  • UAV cruise system based on deep neural network and blockchain

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Embodiment 1

[0031] A drone cruise system based on deep neural network and blockchain, the system includes route planning subsystem, data acquisition subsystem, base station analysis subsystem, and flight control subsystem.

[0032] When there is a need for cruising by UAV, it is first necessary to clarify the target location of the UAV, and then send flight instructions to the UAV, and the UAV will fly according to the planned cruising flight route. Therefore, the UAV cruise system includes a route planning subsystem, which is used to plan the initial cruise flight route and send flight instructions to the UAV according to the departure location and target location of the UAV, using the city information model.

[0033] At present, in UAV cruising, the ground control system controls it to cruise according to a preset route based on the geographic coordinates returned by the UAV, and the flight instructions include instructions to trigger it to start flying. With the development and progres...

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Abstract

The invention discloses an unmanned aerial vehicle cruise system based on a deep neural network and a block chain. The system includes: a route planning subsystem, a data acquisition subsystem, a base station analysis subsystem, and a flight control subsystem; The human-machine flight decision-making deep neural network makes the flight decision result; the base station includes multiple computing nodes, and all nodes in the base station load the parameters required by the UAV flight decision-making deep neural network; for each UAV flight decision-making deep neural network reasoning Request, select multiple available nodes from the base station, generate UAV flight decision deep neural network reasoning blockchain private chain, and execute deep neural network reasoning. Utilizing the present invention, in the cruising of the UAV, it not only expands the ability of the UAV to perceive complex environmental factors, improves the safety of the UAV flight process, but also improves the confidentiality and security of the system in the process of data processing and transmission performance.

Description

technical field [0001] The present invention relates to the technical fields of artificial intelligence, block chain, and unmanned aerial vehicles, in particular to an unmanned aerial vehicle cruise system based on deep neural network and block chain. Background technique [0002] With the popularity of online shopping, the logistics and express delivery industry is developing rapidly. At present, parcel delivery in the logistics and express delivery industry is mainly done manually one by one. Not only is the labor cost high, but the delivery efficiency is also difficult to match with the increasing delivery demand. The emergence of drones undoubtedly provides new ideas for the logistics and distribution industry. At present, in the process of cruising according to the delivery route, the UAV mainly considers the environmental factors, and the obstacle factor is also an important reason affecting the flight of the UAV. In addition, in the existing drone cruise, the data i...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G05D1/10
CPCG05D1/101
Inventor 吕岩王烟烟李伟
Owner JILIN UNIV
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