CN113160615A - Method and system for realizing safety detection before takeoff of unmanned aerial vehicle based on AR technology - Google Patents

Method and system for realizing safety detection before takeoff of unmanned aerial vehicle based on AR technology Download PDF

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Publication number
CN113160615A
CN113160615A CN202110234445.6A CN202110234445A CN113160615A CN 113160615 A CN113160615 A CN 113160615A CN 202110234445 A CN202110234445 A CN 202110234445A CN 113160615 A CN113160615 A CN 113160615A
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unmanned aerial
aerial vehicle
information
database
main controller
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CN113160615B (en
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刘日华
顾鹤凌
邵侠
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Kunshan Star Aviation Technology Co ltd
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Shanghai Lingwei Intelligent Technology Partnership LP
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    • GPHYSICS
    • G08SIGNALLING
    • G08GTRAFFIC CONTROL SYSTEMS
    • G08G5/00Traffic control systems for aircraft, e.g. air-traffic control [ATC]
    • G08G5/0047Navigation or guidance aids for a single aircraft
    • G08G5/0065Navigation or guidance aids for a single aircraft for taking-off
    • GPHYSICS
    • G08SIGNALLING
    • G08GTRAFFIC CONTROL SYSTEMS
    • G08G5/00Traffic control systems for aircraft, e.g. air-traffic control [ATC]
    • G08G5/0073Surveillance aids
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N13/00Stereoscopic video systems; Multi-view video systems; Details thereof
    • H04N13/20Image signal generators
    • H04N13/275Image signal generators from 3D object models, e.g. computer-generated stereoscopic image signals
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N13/00Stereoscopic video systems; Multi-view video systems; Details thereof
    • H04N13/30Image reproducers
    • H04N13/332Displays for viewing with the aid of special glasses or head-mounted displays [HMD]

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  • Engineering & Computer Science (AREA)
  • Multimedia (AREA)
  • Signal Processing (AREA)
  • Aviation & Aerospace Engineering (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Radar, Positioning & Navigation (AREA)
  • Remote Sensing (AREA)
  • Toys (AREA)
  • Control Of Position, Course, Altitude, Or Attitude Of Moving Bodies (AREA)

Abstract

The invention discloses a method and a system for realizing safety detection before takeoff of an unmanned aerial vehicle based on AR technology, wherein the method comprises the following steps: s1: inputting information data of various types of unmanned aerial vehicles into an unmanned aerial vehicle database and storing the information data, wherein a main controller unit is connected with the unmanned aerial vehicle database and reads and downloads corresponding information data of the unmanned aerial vehicles; s2: the method comprises the steps that real-time image information of the appearance of the unmanned aerial vehicle in a static state or a dynamic state is collected through an image collecting unit; s3: transmitting the acquired real-time image to a main controller unit for SLAM composition and rendering, matching the acquired real-time image with an unmanned aerial vehicle database as a modeling model to realize virtual fusion, and finding out differences; s4: and the main controller unit downloads image and character information to the ground station according to the difference and correct component and installation mode, and completes detection and adjustment according to the prompt. The invention has the technical effects of high detection precision, low inspection labor intensity, and difficult omission of personnel inspection and accidents in the flight of airplanes when the ground inspection is omitted.

Description

Method and system for realizing safety detection before takeoff of unmanned aerial vehicle based on AR technology
Technical Field
The invention relates to the technical field of unmanned aerial vehicles, in particular to a method and a system for realizing safety detection of an unmanned aerial vehicle before takeoff based on an AR technology.
Background
Various safety inspections need be done to unmanned aerial vehicle before taking off, and manual inspection intensity of labour is big, omits easily moreover. At present, the following modes are commonly adopted for ground inspection of an unmanned aerial vehicle before takeoff:
1. after ground station and unmanned aerial vehicle wireless connection, unmanned aerial vehicle transmission information to ground station, ground station reads battery information, motor information, information such as sensor information (like GPS, ultrasonic wave, accelerometer, sensors such as earth magnetism).
2. And (4) manually checking whether the installation positions of the control surface, the connecting structure, the rotation direction of the control surface, the battery installation position, the horn installation position, the cabin cover installation position, the undercarriage installation position and other components are correct.
The manual inspection has the problems of high labor intensity, easy omission of personnel inspection and easy accident occurrence in the flying of the airplane when the omission of ground inspection is caused.
Disclosure of Invention
The invention aims to provide a method and a system for realizing safety detection of an unmanned aerial vehicle before takeoff based on an AR technology, so as to solve the problems in the background technology.
In order to achieve the purpose, the invention provides a method for realizing safety detection before takeoff of an unmanned aerial vehicle based on an AR technology, which specifically comprises the following steps:
s1: inputting information data of various types of unmanned aerial vehicles into an unmanned aerial vehicle database, inputting the information data of various types of unmanned aerial vehicles into the unmanned aerial vehicle database and storing the information data, and connecting a main controller unit with the unmanned aerial vehicle database and reading and downloading corresponding information data of the unmanned aerial vehicles;
s2: the method comprises the steps that real-time image information of the appearance of the unmanned aerial vehicle in a static state or a dynamic state is collected through an image collecting unit;
s3: transmitting the acquired real-time image to a main controller unit for SLAM composition and rendering, matching the acquired real-time image with an unmanned aerial vehicle database as a modeling model to realize virtual fusion, and finding out differences;
s4: and the main controller unit downloads image and character information to the ground station according to the difference and correct component and installation mode, and completes detection and adjustment according to the prompt.
Preferably, the step S2 specifically includes: control unmanned aerial vehicle through ground satellite station, through AR glasses inspection unmanned aerial vehicle's outward appearance, acquire unmanned aerial vehicle static state information and unmanned aerial vehicle dynamic state information, the rotation of utilizing AR glasses's terminal camera comes the outward appearance information of real-time collection unmanned aerial vehicle when static or developments, accomplishes real-time image and gathers.
Preferably, step S4 is followed by: and automatically downloading and storing the detection information on the ground station for later tracing.
Preferably, the unmanned aerial vehicle of various models include: fixed wing drone, multi-rotor drone or helicopter drone.
Preferably, the information material of the unmanned aerial vehicle includes: wingspan, main wing area, horizontal tail area, vertical tail area, wing chord-thickness ratio, wing section, main wing attack angle, main wing tip negative attack angle, main wing upper dihedral angle, main wing lower dihedral angle, propeller right pulling angle, propeller down pulling angle, propeller specification, propeller rotating speed, horizontal tail attack angle, speed regulator specification, battery specification, motor model, transmitter model, receiver model, charger model, steering engine model, rudder angle, common fault and solution method and flight teaching video.
Preferably, the unmanned aerial vehicle database is a background database or a cloud database, the cloud database acquires cloud data through mobile phone networking, and the mobile phone networking comprises a 4G/5G/Wi-Fi or Bluetooth connection mode.
The utility model provides a realize unmanned aerial vehicle safety inspection system before taking off based on AR technique, includes: AR glasses, an unmanned aerial vehicle database and a ground station;
the AR glasses comprise an image acquisition unit and a main controller unit;
the unmanned aerial vehicle database is used for storing information data of unmanned aerial vehicles of various types and establishing wireless or wired connection with the AR glasses;
the image acquisition unit is used for acquiring the real-time image information of the appearance of the unmanned aerial vehicle in a static state or a dynamic state; the main controller unit is used for performing SLAM composition and rendering on the acquired real-time image, matching the acquired real-time image with an unmanned aerial vehicle database as a modeling model to realize virtual fusion and finding out differences;
and the ground station is used for receiving the image and character information sent by the main controller unit and completing detection and adjustment according to the prompt.
Preferably, the ground station is further configured to store the detection information.
Compared with the prior art, the invention has the beneficial effects that: when the unmanned aerial vehicle needs to take off for a certain time, workers wear AR glasses to check the appearance of the unmanned aerial vehicle, and the AR glasses are provided with various sensors, such as a visual sensor, a temperature sensor and the like; when a certain part of the unmanned aerial vehicle is abnormal or the part is abnormally installed, the AR glasses give an alarm, upload image and character information to a ground station according to correct part graphic information and installation modes and display the image and character information on the ground station, and guide workers to correct or adjust the part; and finally, each time of inspection, the inspection information is automatically downloaded and stored on the ground station for later traceability. The whole detection precision is high, the detection labor intensity is low, and accidents are not easy to happen in the flight of the airplane when personnel detection and ground detection are omitted.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to these drawings without inventive exercise.
FIG. 1 is a block diagram of a system for realizing safety detection of an unmanned aerial vehicle before takeoff based on AR technology;
FIG. 2 is a flow chart of a method for realizing safety detection before takeoff of an unmanned aerial vehicle based on AR technology;
fig. 3 is a schematic diagram of a display interface of a ground station according to an embodiment of the invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, the present invention provides a system for realizing safety detection before takeoff of an unmanned aerial vehicle based on AR technology, including: AR glasses, an unmanned aerial vehicle database and a ground station;
the AR glasses comprise an image acquisition unit and a main controller unit;
the unmanned aerial vehicle database is used for storing information data of various types of unmanned aerial vehicles and establishing wireless connection with the AR glasses;
the image acquisition unit is used for acquiring the real-time image information of the appearance of the unmanned aerial vehicle in a static state or a dynamic state; the main controller unit is used for performing SLAM composition and rendering on the acquired real-time image, matching the acquired real-time image with an unmanned aerial vehicle database as a modeling model to realize virtual fusion and finding out differences;
and the ground station is used for receiving the image and character information sent by the main controller unit and completing detection and adjustment according to the prompt.
The ground station is also used for storing detection information.
Referring to fig. 2, a method for realizing safety detection before takeoff of an unmanned aerial vehicle based on AR technology specifically includes the following steps:
201: inputting information data of various types of unmanned aerial vehicles into an unmanned aerial vehicle database and storing the information data, wherein a main controller unit is connected with the unmanned aerial vehicle database and reads and downloads corresponding information data of the unmanned aerial vehicles;
202: the method comprises the steps that an unmanned aerial vehicle is controlled through a ground station, the appearance of the unmanned aerial vehicle is checked through AR glasses, static state information and dynamic state information of the unmanned aerial vehicle are obtained, the appearance information of the unmanned aerial vehicle in a static state or a dynamic state is collected in real time through rotation of a terminal camera of the AR glasses, and real-time image collection is completed;
203: the terminal camera of the AR glasses transmits the real-time images acquired in the second step to the main controller unit in a wireless or wired transmission mode to perform SLAM composition and rendering, and performs modeling model matching on the acquired real images and the unmanned aerial vehicle database to realize virtual fusion and find out differences;
204: the main controller unit downloads image and character information to the ground station according to the difference and correct component and installation mode, completes detection and adjustment according to the prompt, and automatically downloads and stores detection information on the ground base station for later-stage tracing after each detection is completed.
In this embodiment, the model of unmanned aerial vehicle includes other various types of unmanned aerial vehicles such as fixed wing unmanned aerial vehicle, many rotor unmanned aerial vehicle and helicopter unmanned aerial vehicle.
In this embodiment, the information data of the unmanned aerial vehicle includes information such as a wing span, a main wing area, a horizontal tail area, a vertical tail area, a wing chord-thickness ratio, a wing profile, a main wing attack angle, a main wing tip negative attack angle, a main wing upper dihedral, a main wing lower dihedral, a propeller right pulling angle, a propeller pull-down angle, a propeller specification, a propeller rotation speed, a horizontal tail attack angle, a speed regulator specification, a battery specification, a motor model, a transmitter model, a receiver model, a charger model, a steering engine model, a control plane angle, a common fault and solution method, and a flight teaching video.
In this embodiment, the unmanned aerial vehicle database is a background database or a cloud database. And the cloud database acquires cloud data through mobile phone networking.
The first embodiment is as follows:
as shown in fig. 3, a ground station display interface (displaying 6 faces of the drone); the airplane is still parked on the ground. VR glasses collect the aircraft appearance. And (3) identifying that the lifting control surface is damaged or not installed by the image, changing the color of the picture position on the ground station display into red (or other prompting modes), and displaying a problem prompt: "elevator anomaly".
Example two:
a ground station display interface (6 faces of the unmanned aerial vehicle are displayed) as shown in fig. 3; when the ground station joystick pull rod is used, the ground station displays the upward rotation angle of the elevator control surface. If the pilot finds that the actual drone elevator control surface is rotating downward, the crew knows that the airplane elevator control surface rotation direction is set incorrectly.
The invention has the beneficial effects that: when the unmanned aerial vehicle needs to take off for a certain time, workers wear AR glasses to check the appearance of the unmanned aerial vehicle, and the AR glasses are provided with various sensors, such as a visual sensor, a temperature sensor and the like; when a certain part of the unmanned aerial vehicle is abnormal or the part is abnormally installed, the AR glasses give an alarm, upload image and character information to the correct part and installation mode and display the image and character information on the ground station, and guide workers to correct or adjust the part; and finally, each time of inspection, the inspection information is automatically downloaded and stored on the ground station for later traceability. The whole detection precision is high, the detection labor intensity is low, and accidents are not easy to happen in the flight of the airplane when personnel detection and ground detection are omitted.
It will be apparent to those skilled in the art that various changes and modifications may be made in the present invention without departing from the spirit and scope of the invention. Thus, if such modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include such modifications and variations.

Claims (8)

1. A method for realizing safety detection before takeoff of an unmanned aerial vehicle based on AR technology is characterized by comprising the following steps: the method specifically comprises the following steps:
s1: inputting information data of various types of unmanned aerial vehicles into an unmanned aerial vehicle database and storing the information data, wherein a main controller unit is connected with the unmanned aerial vehicle database and reads and downloads corresponding information data of the unmanned aerial vehicles;
s2: the method comprises the steps that real-time image information of the appearance of the unmanned aerial vehicle in a static state or a dynamic state is collected through an image collecting unit;
s3: transmitting the acquired real-time image to a main controller unit for SLAM composition and rendering, matching the acquired real-time image with an unmanned aerial vehicle database as a modeling model to realize virtual fusion, and finding out differences;
s4: and the main controller unit downloads image and character information to the ground station according to the difference and correct component and installation mode, and completes detection and adjustment according to the prompt.
2. The method for realizing safety detection of the unmanned aerial vehicle before takeoff based on the AR technology as claimed in claim 1, wherein: the step S2 specifically includes: control unmanned aerial vehicle through ground satellite station, through AR glasses inspection unmanned aerial vehicle's outward appearance, acquire unmanned aerial vehicle static state information and unmanned aerial vehicle dynamic state information, the rotation of utilizing AR glasses's terminal camera comes the outward appearance information of real-time collection unmanned aerial vehicle when static or developments, accomplishes real-time image and gathers.
3. The method for realizing safety detection of the unmanned aerial vehicle before takeoff based on the AR technology as claimed in claim 1, wherein: step S4 is followed by: and automatically downloading and storing the detection information on the ground station for later tracing.
4. The method for realizing safety detection of the unmanned aerial vehicle before takeoff based on the AR technology as claimed in claim 1, wherein: the unmanned aerial vehicle of various models include: fixed wing drone, multi-rotor drone or helicopter drone.
5. The method for realizing safety detection of the unmanned aerial vehicle before takeoff based on the AR technology as claimed in claim 1, wherein: the information data of the unmanned aerial vehicle comprises: wingspan, main wing area, horizontal tail area, vertical tail area, wing chord-thickness ratio, wing section, main wing attack angle, main wing tip negative attack angle, main wing upper dihedral angle, main wing lower dihedral angle, propeller right pulling angle, propeller down pulling angle, propeller specification, propeller rotating speed, horizontal tail attack angle, speed regulator specification, battery specification, motor model, transmitter model, receiver model, charger model, steering engine model, rudder angle, common fault and solution method and flight teaching video.
6. The method for realizing safety detection of the unmanned aerial vehicle before takeoff based on the AR technology as claimed in claim 1, wherein: the unmanned aerial vehicle database is a background database or a cloud database, the cloud database acquires cloud data through mobile phone networking, and the mobile phone networking comprises a 4G/5G/Wi-Fi or Bluetooth connection mode.
7. The utility model provides a realize unmanned aerial vehicle safety inspection system before taking off based on AR technique which characterized in that includes: AR glasses, an unmanned aerial vehicle database and a ground station;
the AR glasses comprise an image acquisition unit and a main controller unit;
the unmanned aerial vehicle database is used for storing information data of unmanned aerial vehicles of various types and establishing wireless or wired connection with the AR glasses;
the image acquisition unit is used for acquiring the real-time image information of the appearance of the unmanned aerial vehicle in a static state or a dynamic state; the main controller unit is used for performing SLAM composition and rendering on the acquired real-time image, matching the acquired real-time image with an unmanned aerial vehicle database as a modeling model to realize virtual fusion and finding out differences;
and the ground station is used for receiving the image and character information sent by the main controller unit and completing detection and adjustment according to the prompt.
8. The AR technology-based system for realizing pre-takeoff safety detection of unmanned aerial vehicles according to claim 7, wherein: the ground station is also used for storing detection information.
CN202110234445.6A 2021-03-03 2021-03-03 Method and system for realizing safety detection before takeoff of unmanned aerial vehicle based on AR technology Active CN113160615B (en)

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