Intelligent self-adaptive mining equipment based on image recognition

Abstract

The invention relates to the technical field of excavating equipment, and particularly discloses intelligent self-adaptive excavating equipment based on image recognition, which comprises a main body frame, and a dust falling water tank is mounted on one side of the top end of the main body frame; the image acquisition mechanism is mounted on the other side of the top end of the dust falling water tank, and the image acquisition mechanism captures image information of an excavation operation site in real time; an image recognition mechanism; according to the invention, the image acquisition card is responsible for receiving image signals captured by the image acquisition camera, and then the image processing chip is combined with AI analysis to deeply analyze and process the image data, so that key information in a video can be quickly and accurately identified, and the change of a mining environment can be detected and predicted in real time; therefore, the mining machine can be controlled and adjusted according to the processed information, intelligent self-adaptive operation of the mining equipment is realized, the application range of the mining equipment is expanded, and the mining efficiency is also improved.

Description

Technical Field

[0001] The invention belongs to the technical field of mining equipment, and in particular relates to an intelligent self-adaptive mining equipment based on image recognition. Background Art

[0002] Mining equipment, mechanical equipment specially designed for underground coal mine operations, is also called coal mining machinery. These equipment play a core role in coal mining, shouldering the heavy task of mining coal and meeting the diverse mining needs of the coal mining industry. As a key tool for coal mining operations, mining equipment is not only an important means to achieve efficient mining, but also an indispensable force to promote the smooth progress of coal mine production. With the continuous advancement of technology, underground coal mine mining equipment has been continuously improved in efficiency, stability and adaptability, providing strong support for the development of the coal mining industry.

[0003] At present, the adaptive ability of mining equipment is relatively limited when dealing with complex and changeable geological conditions. This limitation greatly restricts their widespread application in different geological environments and operating conditions, especially in mining areas with complex geological structures and ever-changing rock formations. The lack of adaptability of mining equipment often leads to low mining efficiency, which seriously affects production efficiency. What is more serious is that under some extremely harsh geological conditions, the equipment may not even be able to operate normally, which will not only delay the progress of the project, but also have a serious impact on the accuracy of the mining operation, making precise mining operations difficult to achieve. Summary of the invention

[0004] The purpose of the present invention is to provide an intelligent adaptive mining device based on image recognition to solve the problems raised in the above background technology.

[0005] To achieve the above object, the present invention provides the following technical solutions:

[0006] An intelligent adaptive mining device based on image recognition, comprising:

[0007] A main frame, wherein a dust suppression water tank is installed on one side of the top of the main frame;

[0008] An image acquisition mechanism, which is installed on the other side of the top of the dust suppression water tank and captures image information of the mining operation site in real time;

[0009] An image recognition mechanism, the image recognition mechanism comprising an image recognition box, a controller, a mounting frame and a heat dissipation fan, the controller being mounted on the outer wall of the image recognition box, two mounting frames and two heat dissipation fans being provided, the two mounting frames being respectively mounted on the top and bottom of the image recognition box, the two heat dissipation fans being respectively mounted on both ends of the image recognition box, and the image recognition box being mounted on the outer wall of the dust suppression water tank via two mounting frames;

[0010] A dust reduction mechanism is installed at the lower part of one end of the dust reduction water tank, and the dust reduction mechanism performs dust reduction treatment on the dust generated during the mining process.

[0011] Preferably, a cutting execution assembly is installed on the upper part of one end of the main frame, a shovel execution assembly is installed on the lower part of one end of the main frame, a crawler walking assembly is installed on the bottom end of the main frame, and a water inlet pipe is installed on the other side of the top of the dust suppression water tank.

[0012] Preferably, ventilation holes are provided on both inner walls of the image recognition box, a memory is installed on the bottom inner wall of the image recognition box, an image acquisition card is installed on the inner side of the image recognition box, and an image processing chip is installed in the middle of the top inner wall of the image recognition box.

[0013] Preferably, the image acquisition card is electrically connected to the image acquisition camera, dustproof nets are provided on opposite sides of the two cooling fans, the two cooling fans, the cutting execution component, the shovel execution component and the crawler walking component are electrically connected to the controller, and the image processing chip is internally provided with image processing software and image recognition algorithm software.

[0014] Preferably, the image acquisition mechanism includes a glass water tank, an image acquisition camera, a fill light, a collection lens, a drive cylinder and a water suction pipe. The glass water tank is installed on one side of the top of the dust reduction water tank, the image acquisition camera is installed on the top of the glass water tank, the fill light is installed on one side of the top of the image acquisition camera, the collection lens is installed at one end of the image acquisition camera, the drive cylinder is installed at the upper part of one end of the glass water tank, the water suction pipe is installed at the middle part of the bottom end of the drive cylinder, and the other end of the water suction pipe is installed at the lower part of one end of the glass water tank.

[0015] Preferably, a rotating shaft is installed between the inner walls on both sides of the driving cylinder through bearings, a cleaning brush is installed at one end of the rotating shaft, a driving paddle is installed on the outer surface of the rotating shaft, a return pipe is installed on one side of the top of the driving cylinder, and a cleaning nozzle is installed on the other side of the top of the driving cylinder.

[0016] Preferably, the cleaning nozzle is located below the collection lens, valves are provided on the cleaning nozzle and on the return pipe, the inner wall of the cleaning brush contacts the outer wall of the collection lens, and the water pump is electrically connected to the controller.

[0017] Preferably, the dust reduction mechanism includes a water pump, a connecting pipe, a water pipe, a dust reduction cylinder and a mounting seat, the water pump is installed at the lower part of one end of the dust reduction water tank, the connecting pipe is installed at one end of the water pump, the water pipe is installed at the top of the water pump, two dust reduction cylinders and two mounting seats are provided, the two dust reduction cylinders are installed on both sides of the outer surface of the water pipe, the two mounting seats are respectively installed at the bottom ends of the two dust reduction cylinders, and the bottom ends of the two mounting seats are respectively installed at the top of the cutting execution component.

[0018] Preferably, an isolation net is installed at one end of the two dust suppression cylinders, and diversion pipes are installed at the other two ends of the water supply pipes. The outer walls of the two diversion pipes are respectively installed on one side of the inner wall of the two dust suppression cylinders, and a plurality of atomizing nozzles are installed at one end of the two diversion pipes, and exhaust fans are installed on the other side of the inner wall of the two dust suppression cylinders.

[0019] Preferably, the exhaust fan and the water pump are both electrically connected to the controller, the diversion pipe is configured as a ring structure, and the water pipe is configured as a Y-shaped hose.

[0020] Compared with the prior art, the present invention has the following beneficial effects:

[0021] (1) The present invention sets an image recognition mechanism on the outer surface of the dust suppression water tank, and receives the image signal captured by the image acquisition camera through the image acquisition card. Subsequently, the image processing chip is combined with AI analysis to perform in-depth analysis and processing on the image data. It can not only quickly and accurately identify the key information in the video, but also detect and predict the changes in the mining environment in real time. The mining machinery can be controlled and adjusted according to the processed information, and the intelligent adaptive operation of the mining equipment can be realized, thereby expanding the application scope of the mining equipment and improving the mining efficiency.

[0022] (2) The present invention sets an image acquisition mechanism at the top of the dust suppression water tank. The image acquisition camera cooperates with the fill light to capture the image information of the mining operation site in real time and transmit it to the image recognition mechanism for recognition and processing. At the same time, the glass water is input into the driving cylinder by starting the water pump, driving the cleaning brush to rotate to clean the collection lens. In addition, the cleaning nozzle can also spray the glass water to the collection lens, further improving the clarity of the collection lens and ensuring the accuracy of image acquisition.

[0023] (3) The present invention sets a dust reduction mechanism at the top of the cutting execution component. By starting the water pump to extract water, the water is then diverted into two diversion pipes through the water pipe. Then, a number of atomizing nozzles atomize the water and spray it evenly. At the same time, two exhaust fans are started synchronously to spray the atomized water mist further, thereby enhancing the dust reduction effect, effectively reducing the dust concentration during the operation, improving the working environment, and ensuring the health of the staff. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] Figure 1 A perspective view of the present invention;

[0025] Figure 2 A three-dimensional diagram of the image acquisition mechanism of the present invention;

[0026] Figure 3 is a cross-sectional view of the driving cylinder of the present invention;

[0027] Figure 4 A three-dimensional diagram of the image recognition mechanism of the present invention;

[0028] Figure 5 is a cross-sectional view of the image recognition box of the present invention;

[0029] Figure 6 A three-dimensional diagram of the dust suppression mechanism of the present invention;

[0030] Figure 7 It is a cross-sectional view of the dust suppression cylinder of the present invention;

[0031] In the figure: 1. Main frame; 2. Dust suppression water tank; 3. Image acquisition mechanism; 4. Image recognition mechanism; 5. Dust suppression mechanism; 6. Cutting execution assembly; 7. Shovel execution assembly; 8. Crawler walking assembly; 9. Water inlet pipe;

[0032] 31. Glass water tank; 32. Image acquisition camera; 33. Fill light; 34. Collection lens; 35. Driving cylinder; 36. Suction pipe; 37. Rotating shaft; 38. Cleaning brush; 39. Driving paddle; 310. Reflux pipe; 311. Cleaning nozzle;

[0033] 41. Image recognition box; 42. Controller; 43. Mounting frame; 44. Cooling fan; 45. Ventilation hole; 46. Memory; 47. Image acquisition card; 48. Image processing chip;

[0034] 51. Water pump; 52. Connecting pipe; 53. Water pipe; 54. Dust suppression cylinder; 55. Mounting base; 56. Isolation net; 57. Diverter pipe; 58. Atomizing nozzle; 59. Exhaust fan. DETAILED DESCRIPTION

[0035] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0036] Embodiment 1:

[0037] See also Figures 1 to 7 As shown, an intelligent adaptive mining device based on image recognition includes:

[0038] A main frame 1, a dust suppression water tank 2 is installed on one side of the top of the main frame 1;

[0039] An image acquisition mechanism 3 is installed on the other side of the top of the dust suppression water tank 2. The image acquisition mechanism 3 captures image information of the mining operation site in real time;

[0040] Image recognition mechanism 4, the image recognition mechanism 4 includes an image recognition box 41, a controller 42, a mounting frame 43 and a heat dissipation fan 44, the controller 42 is mounted on the outer wall of the image recognition box 41, and two mounting frames 43 and two heat dissipation fans 44 are provided, the two mounting frames 43 are respectively mounted on the top and bottom ends of the image recognition box 41, and the two heat dissipation fans 44 are respectively mounted on both ends of the image recognition box 41, and the image recognition box 41 is mounted on the outer wall of the dust suppression water tank 2 through the two mounting frames 43;

[0041] The dust reduction mechanism 5 is installed at the lower part of one end of the dust reduction water tank 2, and the dust reduction mechanism 5 performs dust reduction treatment on the dust generated during the mining process.

[0042] Depend on Figure 1 , Figure 4 and Figure 5 It can be seen that a cutting execution assembly 6 is installed at the upper part of one end of the main frame 1, a shovel execution assembly 7 is installed at the lower part of one end of the main frame 1, a crawler walking assembly 8 is installed at the bottom end of the main frame 1, and a water inlet pipe 9 is installed at the other side of the top of the dust suppression water tank 2;

[0043] Ventilation holes 45 are provided on the inner walls on both sides of the image recognition box 41 , a memory 46 is installed on the bottom inner wall of the image recognition box 41 , an image acquisition card 47 is installed on the inner side of the image recognition box 41 , and an image processing chip 48 is installed in the middle of the top inner wall of the image recognition box 41 .

[0044] As can be seen from the above, the image acquisition card 47 is responsible for receiving the image signal captured by the image acquisition camera 32 and converting it into a digital format that can be processed by the computer. Subsequently, the memory 46 will store the image data for subsequent processing, analysis or display. Then, through the software inside the image processing chip 48, combined with artificial intelligence (AI) technology, various processing operations can be performed on the image data, and useful feature information (such as edges, textures, etc.) can be extracted, and the target objects in the image can be identified, classified and located. It can not only quickly and accurately identify key information in the video, such as coal seam distribution, rock structure, equipment status, etc., but also continuously optimize the analysis algorithm through machine learning to improve the accuracy and efficiency of recognition. AI-based video analysis can detect and predict changes in the mining environment in real time, such as identifying potential geologically unstable areas. Then, based on the processed information, the controller 42 can control and adjust the mining machinery, thereby flexibly adjusting the cutting execution components. 6 and the position and angle of the shovel blade actuator component 7, and adjust the speed and trajectory of the crawler walking component 8 according to the operating status and working environment of the mining machinery. This design not only significantly expands the application scope of the mining equipment, but also greatly improves the mining efficiency, so that the mining equipment can cope with complex and changeable geological conditions and show excellent adaptability, which is conducive to the wide application of mining equipment in different geological environments and operating conditions, especially in those mining areas with complex geological structures and ever-changing rock formations, which can better highlight its adaptability and the improvement of mining efficiency, thereby improving the overall production efficiency. Under extremely harsh geological conditions, the mining equipment can also operate normally, ensuring the progress of the project and the accuracy of the mining operation, and realizing precise mining through intelligent automatic operation. At the same time, the controller 42 starts the heat dissipation fan 44, and effectively dissipates the heat inside the image recognition box 41 through the ventilation holes 45, thereby enhancing the heat dissipation effect and extending the service life of the equipment inside the image recognition box 41.

[0045] Specifically, refer to Figure 1 , Figure 4 and Figure 5 As shown, the image acquisition card 47 is electrically connected to the image acquisition camera 32, dustproof nets are provided on opposite sides of the two cooling fans 44, the two cooling fans 44, the cutting execution component 6, the shovel execution component 7 and the crawler walking component 8 are all electrically connected to the controller 42, and the image processing chip 48 is internally provided with image processing software and image recognition algorithm software.

[0046] As can be seen from the above, it is ensured that the images captured by the image acquisition camera 32 can be transmitted to the image acquisition card 47 for further processing, and dust is prevented from entering the image recognition box 41 and affecting the service life of its internal components. These components are controlled by the controller 42 to achieve automated operation. These software are responsible for processing and analyzing the images captured by the image acquisition camera 32 to achieve image processing and recognition functions.

[0047] Embodiment 2:

[0048] refer to Figure 2 and Figure 3 As shown, the image acquisition mechanism 3 includes a glass water tank 31, an image acquisition camera 32, a fill light 33, a collection lens 34, a driving cylinder 35 and a water extraction pipe 36. The glass water tank 31 is installed on one side of the top of the dust reduction water tank 2, the image acquisition camera 32 is installed on the top of the glass water tank 31, the fill light 33 is installed on one side of the top of the image acquisition camera 32, the collection lens 34 is installed at one end of the image acquisition camera 32, the driving cylinder 35 is installed at the upper part of one end of the glass water tank 31, the water extraction pipe 36 is installed at the middle part of the bottom end of the driving cylinder 35, and the other end of the water extraction pipe 36 is installed at the lower part of one end of the glass water tank 31;

[0049] A rotating shaft 37 is installed between the inner walls of both sides of the driving cylinder 35 through bearings, a cleaning brush 38 is installed at one end of the rotating shaft 37, a driving paddle 39 is installed on the outer surface of the rotating shaft 37, a return pipe 310 is installed on one side of the top of the driving cylinder 35, and a cleaning nozzle 311 is installed on the other side of the top of the driving cylinder 35.

[0050] As can be seen from the above, firstly, through the acquisition lens 34 on the image acquisition camera 32, the image information of the mining operation site can be captured in real time. At the same time, the fill light 33 provides auxiliary lighting for the image acquisition camera 32 to ensure that the acquired image information is clearer. Subsequently, the image acquisition camera 32 transmits the image information to the image recognition mechanism 4 for recognition and processing. In addition, the controller 42 can control the start of the water pump 36 at a fixed time. When the water pump 36 is started, it will input the glass water in the glass water tank 31 into the driving cylinder 35. The glass water impacts the driving paddle 39 and then drives the rotating shaft 37 to rotate, thereby driving the cleaning brush 38 to rotate to clean the acquisition lens 34. At the same time, the glass water can also be directly sprayed to the acquisition lens 34 through the cleaning nozzle 311, which helps the cleaning brush 38 to clean the acquisition lens 34 more effectively, further improves the clarity of the acquisition lens 34, and ensures the accuracy of image acquisition. It is worth noting that the excess glass water will flow back to the glass water tank 31 through the reflux pipe 310, realizing the circulation of glass water and improving resource utilization.

[0051] Preferably, reference Figure 2 and Figure 3 As shown, the cleaning nozzle 311 is located below the collection lens 34 , valves are provided on the cleaning nozzle 311 and the return pipe 310 , the inner wall of the cleaning brush 38 contacts the outer wall of the collection lens 34 , and the water suction pipe 36 is electrically connected to the controller 42 .

[0052] As can be seen from the above, to ensure that the cleaning nozzle 311 can accurately align with and clean the collection lens 34, the valve can control the opening and closing of the cleaning nozzle 311 and the return pipe 310, to ensure that the cleaning brush 38 can effectively brush away the dirt and dust on the collection lens 34, and to facilitate the controller 42 to control the opening and closing of the water suction pipe 36.

[0053] Embodiment three:

[0054] refer to Figure 6 and Figure 7 As shown, the dust reduction mechanism 5 includes a water pump 51, a connecting pipe 52, a water pipe 53, a dust reduction cylinder 54 and a mounting seat 55. The water pump 51 is installed at the lower part of one end of the dust reduction water tank 2, the connecting pipe 52 is installed at one end of the water pump 51, the water pipe 53 is installed at the top of the water pump 51, and two dust reduction cylinders 54 and mounting seats 55 are provided. The two dust reduction cylinders 54 are installed on both sides of the outer surface of the water pipe 53, and the two mounting seats 55 are respectively installed on the opposite surfaces of the two dust reduction cylinders 54, and the bottom ends of the two mounting seats 55 are respectively installed on the top of the cutting execution assembly 6;

[0055] An isolation net 56 is installed at one end of the two dust suppression cylinders 54, and a diversion pipe 57 is installed at the other two ends of the water supply pipe 53. The outer walls of the two diversion pipes 57 are respectively installed on one side of the inner wall of the two dust suppression cylinders 54, and a plurality of atomizing nozzles 58 are installed at one end of the two diversion pipes 57. An exhaust fan 59 is installed on the other side of the inner wall of the two dust suppression cylinders 54.

[0056] As can be seen from the above, during the operation of the mining equipment, the controller 42 is responsible for controlling the start of the water pump 51, and drawing water from the dust reduction water tank 2 through the connecting pipe 52. Subsequently, the water is evenly diverted to the two diversion pipes 57 through the water pipe 53. Then, a number of atomizing nozzles 58 atomize the water and spray it out evenly, which effectively reduces the dust generated during the operation. At the same time, the controller 42 also controls the two exhaust fans 59 to start synchronously, and they spray the atomized water mist inside the two dust reduction cylinders 54 further, thereby significantly enhancing the dust reduction effect, effectively reducing the dust concentration in the working area, improving the working environment, and protecting the health of the staff. In addition, this dust reduction mechanism 5 can move with the movement of the cutting execution component 6, which can further improve the dust reduction efficiency and effectively reduce the adhesion of dust to the collection lens 34.

[0057] Preferably, reference Figure 6 and Figure 7 As shown, the exhaust fan 59 and the water pump 51 are both electrically connected to the controller 42, the diversion pipe 57 is configured as a ring structure, and the water delivery pipe 53 is configured as a Y-shaped hose.

[0058] As can be seen from the above, the automated operation of drainage and ventilation is realized, the annular structure can ensure that the fluid is evenly distributed in the diverter pipe 57, which facilitates the input of water into several atomizing nozzles 58, and the Y-shaped water pipe 53 can connect two diverter pipes 57 to realize water diversion and transportation, and the hose material can improve flexibility and adaptability.

[0059] Application examples:

[0060] This design is mainly used in coal mining operation environments, especially in underground mines, which are complex and dusty. In underground mining operations in coal mines, due to harsh conditions such as small space, insufficient light and dust, traditional mining equipment is often difficult to achieve precise control and efficient operation. These challenges not only affect mining efficiency, but may also increase operating risks and costs. In response to these challenges, this design proposes innovative solutions; the core principle of this design is to use image recognition technology to monitor and analyze the mining operation site in real time. First, the image information of the operation site is captured in real time by the image acquisition mechanism 3. This can not only monitor the safety status of the operation site in real time, but also increase the number of image acquisition mechanisms 3 according to actual usage needs, so as to timely discover and deal with potential safety hazards, thereby reducing safety risks. At the same time, through fixed The dust on the collection lens 34 is cleaned regularly to ensure the accuracy of image collection. Then, the image recognition mechanism 4 is used in combination with AI analysis to process and analyze the collected image information and extract useful information, including but not limited to the geological conditions of the work site, equipment operating status, personnel distribution, etc. Finally, the mining machinery (such as the cutting execution component 6, the shovel execution component 7 and the crawler walking component 8) is automatically controlled and adjusted according to this information to realize intelligent operation. Through intelligent image recognition and processing technology, real-time monitoring and precise control of the mining process can be realized, thereby improving mining efficiency and quality. In addition, the design also provides a dust reduction mechanism 5, which can effectively reduce the dust concentration during the operation process and improve the cleanliness of the working environment, thereby improving the working environment and protecting the health of the staff.

[0061] 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. An intelligent adaptive mining device based on image recognition, characterized in that: include: A main frame (1), wherein a dust suppression water tank (2) is installed on one side of the top end of the main frame (1); An image acquisition mechanism (3), the image acquisition mechanism (3) being installed on the other side of the top of the dust suppression water tank (2), and the image acquisition mechanism (3) capturing image information of the mining operation site in real time; An image recognition mechanism (4), the image recognition mechanism (4) comprising an image recognition box (41), a controller (42), a mounting frame (43) and a heat dissipation fan (44), the controller (42) being mounted on the outer wall of the image recognition box (41), two mounting frames (43) and two heat dissipation fans (44) being provided, the two mounting frames (43) being mounted on the top and bottom of the image recognition box (41), the two heat dissipation fans (44) being mounted on the two ends of the image recognition box (41), and the image recognition box (41) being mounted on the outer wall of the dust suppression water tank (2) via the two mounting frames (43); A dust reduction mechanism (5) is installed at the lower part of one end of the dust reduction water tank (2), and the dust reduction mechanism (5) performs dust reduction treatment on dust generated during the mining process.

2. The intelligent adaptive mining equipment based on image recognition according to claim 1 is characterized in that: A cutting execution assembly (6) is installed at the upper part of one end of the main frame (1), a shovel execution assembly (7) is installed at the lower part of one end of the main frame (1), a crawler walking assembly (8) is installed at the bottom end of the main frame (1), and a water inlet pipe (9) is installed on the other side of the top end of the dust suppression water tank (2).

3. The intelligent adaptive mining equipment based on image recognition according to claim 2 is characterized in that: Ventilation holes (45) are provided on both inner walls of the image recognition box (41), a memory (46) is installed on the bottom inner wall of the image recognition box (41), an image acquisition card (47) is installed on the inner side of the image recognition box (41), and an image processing chip (48) is installed in the middle of the top inner wall of the image recognition box (41).

4. The intelligent adaptive mining equipment based on image recognition according to claim 3 is characterized by: The image acquisition card (47) is electrically connected to the image acquisition camera (32); dust screens are provided on opposite sides of the two cooling fans (44); the two cooling fans (44), the cutting execution component (6), the shovel execution component (7) and the crawler walking component (8) are electrically connected to the controller (42); and image processing software and image recognition algorithm software are provided inside the image processing chip (48).

5. The intelligent adaptive mining equipment based on image recognition according to claim 1 is characterized in that: The image acquisition mechanism (3) comprises a glass water tank (31), an image acquisition camera (32), a fill light (33), a collection lens (34), a driving cylinder (35) and a water extraction pipe (36); the glass water tank (31) is mounted on one side of the top end of the dust reduction water tank (2); the image acquisition camera (32) is mounted on the top end of the glass water tank (31); the fill light (33) is mounted on one side of the top end of the image acquisition camera (32); the collection lens (34) is mounted on one end of the image acquisition camera (32); the driving cylinder (35) is mounted on the upper part of one end of the glass water tank (31); the water extraction pipe (36) is mounted on the middle part of the bottom end of the driving cylinder (35); and the other end of the water extraction pipe (36) is mounted on the lower part of one end of the glass water tank (31).

6. The intelligent adaptive mining equipment based on image recognition according to claim 5 is characterized by: A rotating shaft (37) is installed between the inner walls of both sides of the driving cylinder (35) via bearings, a cleaning brush (38) is installed at one end of the rotating shaft (37), a driving paddle (39) is installed on the outer surface of the rotating shaft (37), a return pipe (310) is installed on one side of the top end of the driving cylinder (35), and a cleaning nozzle (311) is installed on the other side of the top end of the driving cylinder (35).

7. The intelligent adaptive mining equipment based on image recognition according to claim 6 is characterized by: The cleaning nozzle (311) is located below the collection lens (34), valves are provided on the cleaning nozzle (311) and the return pipe (310), the inner wall of the cleaning brush (38) is in contact with the outer wall of the collection lens (34), and the water extraction pipe (36) is electrically connected to the controller (42).

8. The intelligent adaptive mining equipment based on image recognition according to claim 1 is characterized in that: The dust reduction mechanism (5) comprises a water pump (51), a connecting pipe (52), a water pipe (53), a dust reduction cylinder (54) and a mounting seat (55); the water pump (51) is mounted at the lower part of one end of the dust reduction water tank (2); the connecting pipe (52) is mounted at one end of the water pump (51); the water pipe (53) is mounted at the top of the water pump (51); two dust reduction cylinders (54) and two mounting seats (55) are provided; the two dust reduction cylinders (54) are mounted on both sides of the outer surface of the water pipe (53); the two mounting seats (55) are respectively mounted at the bottom ends of the two dust reduction cylinders (54); and the bottom ends of the two mounting seats (55) are respectively mounted at the top ends of the cutting execution components (6).

9. The intelligent adaptive mining equipment based on image recognition according to claim 8, characterized in that: One end of the two dust suppression cylinders (54) is installed with an isolation net (56), the other two ends of the water delivery pipe (53) are installed with a shunt pipe (57), the outer walls of the two shunt pipes (57) are respectively installed on one side of the inner wall of the two dust suppression cylinders (54), one end of the two shunt pipes (57) is installed with a plurality of atomizing nozzles (58), and the other side of the inner wall of the two dust suppression cylinders (54) is installed with an exhaust fan (59).

10. The intelligent adaptive mining equipment based on image recognition according to claim 9, characterized in that: The exhaust fan (59) and the water pump (51) are both electrically connected to the controller (42), the diversion pipe (57) is configured as a ring structure, and the water delivery pipe (53) is configured as a Y-shaped hose.

Images