An artificial intelligence-based rescue drone

Abstract

This utility model provides an artificial intelligence-based rescue drone, comprising a fuselage, with arms bolted to all four sides of the fuselage's outer wall, and a motor bolted to the outer end of each arm; blades are embedded in the motor's output shaft; support rods are bolted to all four sides of the rear wall of the fuselage; detection base structures and delivery box structures are fixed to the upper and lower sides of the rear of the fuselage; and a warning box structure is fixed to the front of the fuselage. The detection base structure comprises a hollow base, with a left movable shell and a right movable shell axially connected to its left and right sides; a camera and an infrared thermal imager are bolted to the interior of the left movable shell; and a lidar, a megaphone, and a searchlight are bolted to the interior of the right movable shell. This utility model, through the setting of the detection base structure and in conjunction with the GPS inside the fuselage, achieves precise environmental positioning and mapping, thereby comprehensively enhancing environmental perception, increasing reconnaissance accuracy, and improving rescue effectiveness.

Description

Technical Field

[0001] This utility model belongs to the field of rescue drone technology, and in particular relates to a rescue drone based on artificial intelligence. Background Technology

[0002] "AI-based rescue drones" refer to drones equipped with artificial intelligence technology, specifically designed to perform tasks such as search and rescue, disaster response, and humanitarian assistance. These drones utilize the powerful capabilities of AI to significantly improve the efficiency, scope, and safety of traditional rescue operations. However, they are not precise enough when conducting rescue reconnaissance in different environments, which can easily lead to omissions of some details and affect the rescue work. In addition, the drones are not easy to be detected during the rescue process, which in turn affects the effectiveness of the rescue. Utility Model Content

[0003] To address the aforementioned technical problems, this utility model provides an artificial intelligence-based rescue drone that enables precise environmental positioning and mapping, thereby comprehensively enhancing environmental perception, increasing reconnaissance accuracy and rescue effectiveness. Furthermore, it makes the drone more conspicuous and easily identifiable, facilitating location and improving rescue efficiency.

[0004] The technical solution is as follows: an artificial intelligence-based rescue drone includes a fuselage, with arms bolted to all four sides of the fuselage's outer wall, and motors bolted to the outer ends of the arms; blades are embedded in the motor's output shaft; support rods are bolted to all four sides of the rear wall of the fuselage; detection base structures and delivery box structures are fixed to the upper and lower sides of the rear of the fuselage; a warning box structure is fixed to the front of the fuselage. The detection base structure is characterized by a hollow base, with a left movable shell and a right movable shell axially connected to the left and right sides of the hollow base; a camera and an infrared thermal imager are bolted to the inside of the left movable shell; a lidar, a megaphone, and a searchlight are bolted to the inside of the right movable shell.

[0005] Preferably, each of the aforementioned devices is equipped with an electrically connected GPS module and an IMU module inside its body.

[0006] Preferably, stepper motors are provided on both the left and right sides inside the hollow base, and the output shafts are embedded and connected to the shafts inside the left and right movable shells.

[0007] Compared with the prior art, the beneficial effects of this utility model are as follows:

[0008] In this invention, the hollow base, the left movable shell, and the right movable shell are designed to be used in conjunction with multiple sensing devices for adjustment.

[0009] In this invention, the camera, infrared thermal imager, and lidar, combined with the GPS inside the device, enable precise positioning and mapping of the environment, thereby comprehensively enhancing environmental awareness and improving reconnaissance accuracy and rescue effectiveness.

[0010] In this invention, the megaphone and searchlight assist in environmental reconnaissance in the rescue area. Attached Figure Description

[0011] Figure 1 This is a schematic diagram of the structure of this utility model.

[0012] Figure 2 This is a schematic diagram of the detection base structure of this utility model.

[0013] Figure 3 This is a structural diagram of the warning box structure of this utility model.

[0014] Figure 4 This is a schematic diagram of the dispensing box structure of this utility model.

[0015] In the picture:

[0016] 1. Fuselage; 2. Arm; 3. Motor; 4. Blades; 5. Support rod; 6. Drop box structure; 61. Storage box; 62. Opening and closing door; 63. Limiting seat; 64. Working electric cylinder; 7. Warning box structure; 71. Transparent shell; 72. Fixing plate; 73. LED light; 8. Detection seat structure; 81. Hollow seat; 82. Left movable shell; 83. Right movable shell; 84. Camera; 85. Infrared thermal imager; 86. LiDAR; 87. Announcer; 88. Searchlight. Detailed Implementation

[0017] The present invention will be further described below with reference to the accompanying drawings: Example

[0018] As attached Figure 1 As shown, an artificial intelligence-based rescue drone includes a fuselage 1. Arms 2 are bolted to all four sides of the outer wall of the fuselage 1, and a motor 3 is bolted to the outer end of the arm 2. A blade 4 is embedded on the output shaft of the motor 3. Support rods 5 are bolted to all four sides of the rear wall of the fuselage 1. Detection base structures 8 and delivery box structures 6 are fixed to the upper and lower sides of the rear of the fuselage 1. A warning box structure 7 is fixed to the front of the fuselage 1.

[0019] As attached Figure 2As shown in the above embodiment, specifically, the detection base structure 8 includes a hollow base 81, with a left movable shell 82 and a right movable shell 83 axially connected to both sides of the hollow base 81; a camera 84 and an infrared thermal imager 85 are bolted inside the left movable shell 82; and a lidar 86, a megaphone 87, and a searchlight 88 are bolted inside the right movable shell 83.

[0020] As attached Figure 3 As shown in the above embodiment, specifically, the warning box structure 7 includes a transparent shell 71, and a fixing plate 72 is integrally provided around the rear end of the transparent shell 71; an LED light 73 is fixed inside the transparent shell 71 with bolts.

[0021] As attached Figure 4 As shown in the above embodiment, specifically, the delivery box structure 6 includes a storage box 61, and the left and right sides inside the storage box 61 are axially connected to a switch door 62; the surface of the switch door 62 is bolted with a limiting seat 63 and a working electric cylinder 64, and the limiting seat 63 and the working electric cylinder 64 are both located on the left and right sides of the front of the storage box 61.

[0022] In the above embodiments, specifically, each of the fuselage 1 is equipped with an electrically connected GPS module and an IMU module.

[0023] In the above embodiments, specifically, stepper motors are provided on both the left and right sides inside the hollow base 81, and the output shafts are embedded and connected to the shafts inside the left movable shell 82 and the right movable shell 83.

[0024] In the above embodiments, specifically, the stepper motor inside the hollow base 81 is electrically connected to the body 1, and the hollow base 81 is bolted to the upper rear part of the body 1.

[0025] In the above embodiments, specifically, the transparent shell 71 is fixed to the surface of the fuselage 1 by bolts through the fixing piece 72, and multiple LED lights 73 are provided inside it, which makes the drone more eye-catching and identifiable, thereby facilitating its search and increasing the rescue effect.

[0026] In the above embodiments, specifically, the storage box 61 is bolted to the rear end of the body 1, and multiple opening and closing doors 62 are provided and seal the storage box 61 when closed, which facilitates the placement of rescue items inside the storage box 61.

[0027] In the above embodiments, specifically, the working electric cylinder 64 is electrically connected to the machine body 1, and the output shaft is movably connected to the limiting seat 63 to close and lock the set opening and closing door 62.

[0028] In the above embodiments, specifically, the body 1 is electrically connected to the motor 3, camera 84, infrared thermal imager 85, lidar 86, megaphone 87, searchlight 88, LED light 73, working electric cylinder 64, and the stepper motor inside the hollow base 81. The body 1 is electrically connected to a GPS module and an IMU module.

[0029] The working principle of this utility model is as follows: During rescue operations, personnel use a ground station to fly the fuselage 1 within the rescue area. During flight, the infrared thermal imager 85, camera 84, and GPS collect environmental data. The data is then transmitted to the ground station, where AI algorithms are used in conjunction with the IMU inside the fuselage 1 to plan flight reconnaissance and rescue operations within the rescue area. During use, the LED lights 73 inside the transparent shell 71 flash to make the aircraft more visible in the air, thus facilitating identification by the rescued personnel. When it is necessary to drop items into the rescue area, the items are placed in the storage box 61, and the switch door 62 and drive cylinder 64 are closed and locked. Upon reaching the area, the drive cylinder 64 separates the output shaft from the limiting seat 63, causing the switch door 62 to be pushed open by the items, allowing the rescue supplies to fall and be dropped.

[0030] Any technical solution that achieves the above-mentioned technical effects by utilizing the technical solution described in this utility model, or by designing a similar technical solution inspired by the technical solution of this utility model, falls within the protection scope of this utility model.

Claims

1. An artificial intelligence-based rescue drone, comprising a fuselage (1), wherein arms (2) are bolted to all four sides of the outer wall of the fuselage (1), and a motor (3) is bolted to the end of the arm (2) on the outer side; blades (4) are embedded on the output shaft of the motor (3); support rods (5) are bolted to all four sides of the rear wall of the fuselage (1); a detection seat structure (8) and a delivery box structure (6) are fixed to the upper and lower sides of the rear of the fuselage (1); and a warning box structure (7) is fixed to the front of the fuselage (1), characterized in that, The detection base structure (8) includes a hollow base (81), with a left movable shell (82) and a right movable shell (83) axially connected to the left and right sides of the hollow base (81); a camera (84) and an infrared thermal imager (85) are bolted inside the left movable shell (82); a lidar (86), a megaphone (87) and a searchlight (88) are bolted inside the right movable shell (83).

2. The artificial intelligence-based rescue drone as described in claim 1, characterized in that, The warning box structure (7) includes a transparent shell (71), and a fixing plate (72) is integrally set around the rear end of the transparent shell (71); an LED light (73) is fixed inside the transparent shell (71) with bolts.

3. The artificial intelligence-based rescue drone as described in claim 1, characterized in that, The delivery box structure (6) includes a storage box (61), and the left and right sides inside the storage box (61) are axially connected to the opening and closing doors (62); the opening and closing doors (62) are bolted with a limiting seat (63) and a working electric cylinder (64), and the limiting seat (63) and the working electric cylinder (64) are both located on the left and right sides of the front of the storage box (61).

4. The artificial intelligence-based rescue drone as described in claim 1, characterized in that, The fuselage (1) is equipped with an electrically connected GPS module and an IMU module.

5. The artificial intelligence-based rescue drone as described in claim 1, characterized in that, The hollow base (81) is equipped with stepper motors on both the left and right sides, and the output shafts are embedded and connected to the shafts inside the left movable shell (82) and the right movable shell (83).

6. The artificial intelligence-based rescue drone as described in claim 1, characterized in that, The stepper motor inside the hollow base (81) is electrically connected to the machine body (1), and the hollow base (81) is bolted to the upper part of the rear of the machine body (1).

7. The artificial intelligence-based rescue drone as described in claim 2, characterized in that, The transparent shell (71) is fixed to the surface of the body (1) by bolts of fixing piece (72), and multiple LED lights (73) are provided inside it.

8. The artificial intelligence-based rescue drone as described in claim 2, characterized in that, The storage box (61) is bolted to the rear end of the body (1), and the opening and closing door (62) is provided in multiple ways and seals the storage box (61) when closed.

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