Inspection comprehensive training platform based on multi-view vision and Internet of Things technology

Abstract

The utility model relates to the field of comprehensive practical training platforms, and discloses a polling comprehensive practical training platform based on multi-view vision and Internet of Things technology, which comprises a power transmission line simulation three-dimensional sand table model, a distribution box and a large-screen display, the power transmission line simulation three-dimensional sand table model comprises a cuboid frame, the bottom of the cuboid frame is provided with a bottom terrain model, the upper part of the cuboid frame is provided with a three-dimensional slide rail device, the three-dimensional slide rail device is provided with an unmanned aerial vehicle platform, and a multi-view visual information acquisition device is mounted below the unmanned aerial vehicle platform; the distribution box comprises a miniature industrial personal computer and a power supply module, the power supply module is used for supplying power to the whole inspection comprehensive training platform, and the miniature industrial personal computer is connected with the multi-view visual information acquisition device, the three-dimensional slide rail device and the large-screen display. The inspection comprehensive practical training platform combines advanced multi-view vision and Internet of Things technologies, rapidly and visually displays the current advanced unmanned aerial vehicle intelligent inspection technology of the power transmission line, and has important educational significance and teaching value.

Description

Technical Field

[0001] The utility model relates to the field of comprehensive training platforms, and in particular to a patrol comprehensive training platform based on multi-eye vision and Internet of Things technologies. Background Art

[0002] With the development of the national economy and society, the power system plays an important role at different levels, and transmission lines are an important part of the power system. The good condition of facilities and safe channel environment are of great significance to the smooth operation of the power grid. The large-scale growth of transmission lines has brought great challenges to the inspection of the power grid.

[0003] Traditional manual inspection is inefficient, inaccurate, and consumes a lot of manpower and material resources, which cannot meet the current situation of large-scale and complex geographical environments. With the development of domestic drone technology, the inspection scheme of using drones as flight platforms equipped with visual sensors for near-ground remote sensing of power transmission lines has gradually become a research hotspot. The use of drone binocular visible light imaging, infrared imaging, and laser radar point cloud data acquisition and intelligent Internet of Things technology to replace inspection personnel to perform operations is efficient, safe, and accurate.

[0004] At present, students or new employees have a limited understanding of power transmission line inspection and lack the grasp of the actual work process principles. With the continuous increase in the number of practitioners, in order to complete the training of multiple batches of people at the same time, there is an urgent need for a comprehensive inspection training platform based on multi-eye vision and Internet of Things technology to carry out education that combines theory with practice. Utility Model Content

[0005] In response to the above problems, the utility model provides a comprehensive inspection training platform based on multi-eye vision and Internet of Things technology. It uses a sandbox model to quickly and intuitively demonstrate the current advanced drone intelligent inspection technology, adopts multi-eye vision solutions and Internet of Things technology, and has important educational significance and teaching value.

[0006] In order to solve the above problems, the utility model provides the following technical solutions:

[0007] A patrol inspection comprehensive training platform based on multi-eye vision and Internet of Things technology, comprising a transmission line simulation three-dimensional sand table model, a distribution box and a large-screen display; the transmission line simulation three-dimensional sand table model comprises a rectangular frame, a bottom terrain model is arranged at the bottom of the rectangular frame, a three-dimensional slide device is arranged at the upper part of the rectangular frame, an unmanned aerial vehicle platform is installed on the three-dimensional slide device, and a multi-eye vision information acquisition device is mounted under the unmanned aerial vehicle platform; the distribution box comprises a micro-industrial computer and a power module, the power module is used to supply power to the entire patrol inspection comprehensive training platform, and the micro-industrial computer is connected to the multi-eye vision information acquisition device, the three-dimensional slide device and the large-screen display.

[0008] Furthermore, the bottom terrain model includes a transmission line and an actual scene model.

[0009] Furthermore, the three-dimensional slide rail device includes a slide rail IV whose bottom is connected to the UAV platform, and a motor V drives the UAV platform to move up and down along the slide rail IV; the upper part of the slide rail IV is installed on the slide rail I, and motors I and II drive the slide rail IV to move laterally along the slide rail I; the two ends of the slide rail I are respectively installed on slide rails II and III, and motors III and IV drive the slide rail I to move longitudinally along the slide rails II and III.

[0010] Furthermore, the multi-eye visual information acquisition device includes a binocular visible light camera, an infrared camera and a laser radar. The drone platform collects multi-eye visual information and transmits it back to a data line extender via optical fiber. The data line extender is connected to a micro industrial computer in a distribution box.

[0011] Furthermore, the micro-industrial computer is connected to the multi-eye visual information acquisition device via an optical fiber to receive visual acquisition information.

[0012] Furthermore, the micro industrial computer is connected to motors I, II, III, IV and V in the three-dimensional slide rail device via data cables and sends serial port instructions to the motors to control the movement of the slide rails.

[0013] Furthermore, the micro-industrial computer is connected to a large-screen display via an HDMI cable, and the large-screen display is used to display in real time the inspection images and detection results processed by the networking algorithm of the micro-industrial computer.

[0014] Compared with the prior art, the utility model provides a comprehensive inspection training platform based on multi-eye vision and Internet of Things technology, which has the following beneficial effects:

[0015] (1) The utility model builds an accurate transmission line simulation three-dimensional sand table based on the actual layout of the transmission line, which is used to simulate the intelligent inspection process of drones.

[0016] (2) The utility model uses a motor to control the UAV platform on the slide rail to move arbitrarily in the three-axis directions of space, and realize hovering at any point in the rectangular frame.

[0017] (3) The multi-eye visual information acquisition device carried by the UAV platform of the utility model obtains binocular visible light images, infrared images and laser radar point cloud data for real-time processing over the Internet.

[0018] (4) The utility model comprehensive training platform can realize self-starting through a micro industrial computer, automatically send instructions to control the UAV inspection and display the inspection screen in real time, and is easy to operate. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] Figure 1 This is a schematic diagram of the structure of a comprehensive inspection training platform based on multi-eye vision and Internet of Things technology;

[0020] Figure 2 Design a top view schematic diagram for the transmission line simulation three-dimensional sand table model;

[0021] Figure 3 This is a schematic diagram of a multi-eye visual information collection device carried by an unmanned aerial vehicle platform;

[0022] The meanings of the reference numerals in the figures are:

[0023] 1: Transmission line simulation three-dimensional sand table model; 2: Distribution box; 3: Large screen display; 4: Bottom terrain model; 5: Three-dimensional slide rail device; 6: UAV platform; 7: Rectangular frame; 8: Motor I; 9: Motor II; 10: Motor III; 11: Motor IV; 12: Motor V; 13: Slide rail I; 14: Slide rail II; 15: Slide rail III; 16: Slide rail IV; 17: Multi-eye visual information acquisition device; 18: Binocular visible light camera; 19: Infrared camera; 20: LiDAR; 21: Optical fiber; 22: Data cable extender; 23: Micro industrial computer; 24: Power module; 25: Data cable; 26: HDMI cable DETAILED DESCRIPTION

[0024] The following will be combined with the drawings in the embodiments of the utility model to clearly and completely describe the technical solutions in the embodiments of the utility model. Obviously, the described embodiments are only part of the embodiments of the utility model, not all of the embodiments. Based on the embodiments in the utility model, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the utility model.

[0025] Please see attached Figure 1 , attached Figure 2 and attached Figure 3 A comprehensive inspection training platform based on multi-eye vision and Internet of Things technology includes a transmission line simulation three-dimensional sand table model 1, a distribution box 2 and a large-screen display 3. The transmission line simulation three-dimensional sand table model 1 includes a bottom terrain model 4, a three-dimensional slide device 5 and a drone platform 6, which are combined together through a rectangular frame 7.

[0026] The bottom terrain model 4 is installed at the bottom of the rectangular parallelepiped frame 7, including the power transmission line and the actual scene model. The three-dimensional slide rail device 5 is installed on the four sides of the rectangular parallelepiped frame 7 to form a whole with the bottom.

[0027] The three-dimensional slide rail device 5 includes five motors to control the drone to move arbitrarily in the three-axis direction of space. The bottom of the slide rail IV16 is connected to the drone platform 6, and the motor V12 drives the drone platform 6 to move up and down along the slide rail IV16; the upper part of the slide rail IV16 is installed on the slide rail I13, and the motor I8 and the motor II9 drive the slide rail IV16 to move horizontally along the slide rail I13; the two ends of the slide rail I13 are respectively installed on the slide rail II14 and the slide rail III15, and the motor III10 and the motor IV11 drive the slide rail I13 to move longitudinally along the slide rail II14 and the slide rail III15. .

[0028] The UAV platform 6 is installed on the slide rail IV 16, and a multi-eye visual information acquisition device 17 is mounted below. The multi-eye visual information acquisition device 17 includes a binocular visible light camera 18, an infrared camera 19 and a laser radar 20. The UAV platform 6 collects multi-eye visual information and transmits it back to the data line extender 22 through the optical fiber 21. The data line extender 22 is connected to the micro industrial computer 23 in the distribution box 2.

[0029] The distribution box 2 includes a micro industrial computer 23 and a power module 24, and the power module 24 controls the power supply of the entire patrol inspection comprehensive training platform.

[0030] The micro industrial computer 23 receives visual acquisition information through the optical fiber 21 , sends serial port instructions to the motor to control the movement of the slide rail through the data line 25 , and connects to the large-screen display 3 through the HDMI line 26 .

[0031] The large-screen display 3 displays in real time the inspection images and detection results processed by the micro-industrial computer 23 networking algorithm.

[0032] The use method and working principle of this device: When using, the manager needs to turn on the large-screen display 3, prepare to obtain the audio and video signal of the micro-industrial computer 23 connected through the HDMI line 26, then turn on the distribution box 2, turn on the power module 24 to power the comprehensive training platform, turn on the micro-industrial computer 23, and the comprehensive training platform automatically starts to simulate inspections, and the large-screen display 3 displays the software interface. At this time, the code in the micro-industrial computer 23 runs automatically, and the serial port command XYZ position is sent through the data line 25. Motors I8 and II9 control the horizontal X-axis movement of the slide rail I13, motors III10 and IV11 control the longitudinal Y-axis movement of the slide rails II14 and III15, and motor V12 controls the vertical Z-axis movement of the slide rail IV16. The drone platform 6 can reach the specified position and hover and shoot in a cycle.

[0033] A multi-eye visual information acquisition device 17 is mounted below the drone platform 6, including a binocular visible light camera 18, an infrared camera 19 and a laser radar 20, to study the acquisition of drone binocular visible light images, infrared images and laser radar point cloud data and intelligent Internet of Things processing technology, to meet the inspection needs of the line body, auxiliary equipment and line protection area in different scenarios. The acquired visual information is transmitted back to the micro industrial computer 23 through the optical fiber 21 and then through the data line extender 22. After being processed by the networking algorithm, the recognition and detection of various types of components of the transmission line, as well as the real-time accurate measurement and quantitative analysis of the clearance distance of the transmission line inspection are realized, and the real-time picture and processing results are displayed on the software interface of the large-screen display 3. The utility model simulates and demonstrates the multi-directional, multi-angle three-dimensional intelligent transmission line Internet of Things inspection technology of drone multi-eye vision collaboration, and provides an intuitive teaching platform for drone transmission line inspection training demonstrations.

[0034] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A comprehensive inspection training platform based on multi-eye vision and Internet of Things technology, characterized by: The patrol inspection comprehensive training platform comprises a transmission line simulation three-dimensional sand table model (1), a distribution box (2) and a large-screen display (3); the transmission line simulation three-dimensional sand table model (1) comprises a rectangular frame (7), a bottom terrain model (4) is arranged at the bottom of the rectangular frame (7), a three-dimensional slide rail device (5) is arranged at the top of the rectangular frame (7), a drone platform (6) is installed on the three-dimensional slide rail device, and a multi-eye visual information acquisition device (17) is mounted below the drone platform (6); the distribution box (2) comprises a micro industrial control computer (23) and a power module (24), the power module (24) is used to supply power to the entire patrol inspection comprehensive training platform, and the micro industrial control computer (23) is connected to the multi-eye visual information acquisition device (17), the three-dimensional slide rail device (5) and the large-screen display (3).

2. According to claim 1, a patrol inspection comprehensive training platform based on multi-eye vision and Internet of Things technology is characterized by: The bottom terrain model (4) includes a transmission line and an actual scene model.

3. According to claim 1 or 2, a comprehensive inspection training platform based on multi-eye vision and Internet of Things technology is characterized by: The three-dimensional slide rail device (5) includes a slide rail IV (16) whose bottom is connected to the UAV platform (6), and a motor V (12) drives the UAV platform (6) to move up and down along the slide rail IV (16); the upper part of the slide rail IV (16) is installed on the slide rail I (13), and the motor I (8) and the motor II (9) drive the slide rail IV (16) to move laterally along the slide rail I (13); the two ends of the slide rail I (13) are respectively installed on the slide rail II (14) and the slide rail III (15), and the motor III (10) and the motor IV (11) drive the slide rail I (13) to move longitudinally along the slide rail II (14) and the slide rail III (15).

4. According to claim 1 or 2, a comprehensive inspection training platform based on multi-eye vision and Internet of Things technology is characterized by: The multi-eye visual information acquisition device (17) comprises a binocular visible light camera (18), an infrared camera (19) and a laser radar (20). The drone platform (6) collects the multi-eye visual information and transmits it back to a data line extender (22) via an optical fiber (21). The data line extender (22) is connected to a micro-industrial computer (23) in a distribution box (2).

5. The inspection comprehensive training platform based on multi-eye vision and Internet of Things technology according to claim 1 is characterized by: The micro industrial computer (23) is connected to the multi-eye visual information acquisition device (17) via an optical fiber (21) to receive visual acquisition information.

6. The inspection comprehensive training platform based on multi-eye vision and Internet of Things technology according to claim 3 is characterized by: The micro industrial computer (23) is connected to the motor I (8), motor II (9), motor III (10), motor IV (11), and motor V (12) in the three-dimensional slide rail device (5) via a data line (25) and sends serial port instructions to the motors to control the movement of the slide rails.

7. The inspection comprehensive training platform based on multi-eye vision and Internet of Things technology according to claim 1 is characterized by: The micro-industrial computer (23) is connected to a large-screen display (3) via an HDMI cable (26); the large-screen display (3) is used to display in real time inspection images and detection results processed by the networking algorithm of the micro-industrial computer (23).

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