River sediment pollution diagnosis and intelligent restoration system based on AI image recognition

Abstract

The invention discloses a riverway bottom mud pollution diagnosis and intelligent restoration system based on AI image recognition, and belongs to the field of riverway governance, the riverway bottom mud pollution diagnosis and intelligent restoration system comprises a base, the top of the base is fixedly connected with a feeding assembly used for restoring riverway bottom mud, a floating assembly is arranged outside the bottom end of the base, and a pollution diagnosis assembly is arranged inside the base; the pollution diagnosis assembly and the telecommunication connection between the pollution diagnosis assembly and the external AI image processing terminal are arranged, so that the traditional lagging mode depending on manual sampling and laboratory analysis is thoroughly changed; underwater images are collected in real time through the camera, image data are uploaded to the AI terminal through the wireless module for intelligent recognition and analysis, the pollution type and the pollution level of bottom mud can be rapidly judged, the diagnosis efficiency is greatly improved, rapid general survey of a large-range river channel is achieved, and the diagnosis accuracy is improved. And an instant and reliable decision basis is provided for subsequent accurate repair.

Description

TECHNICAL FIELD

[0001] The application belongs to the technical field of river management, and particularly relates to a river sediment pollution diagnosis and intelligent repair system based on AI image recognition. BACKGROUND

[0002] As an important part of the water ecological system, the pollution of river sediment is directly related to the health and safety of the river. At present, in-situ repair and management of the polluted sediment has become a focus in the field of environmental engineering.

[0003] Firstly, in the pollution diagnosis link, the traditional method mainly relies on manual sampling and then physical and chemical analysis in the laboratory. This way is time-consuming and labor-intensive, and the analysis period is long, which cannot quickly and widely grasp the pollution distribution of the river, leading to serious lag of repair decision. Although some underwater camera equipment can be used for preliminary observation, its function is limited to image collection, and it cannot identify and judge the pollution type and degree of the sediment in real time. The image quality is also easily disturbed by the turbidity of the water body and the attachments of the lens. Moreover, the observation points depend on the experience of the operator, and lack of systematicness.

[0004] In the repair execution link, the existing drug delivery devices are mostly single-function and low-intelligence, and generally exist in two modes: one is blind scattering in a large area. This "extensive" drug delivery not only causes great waste of repair reagents and increases the management cost, but also may cause secondary pollution of the water body due to excessive or uneven distribution of the reagents. Therefore, the application provides a river sediment pollution diagnosis and intelligent repair system based on AI image recognition. SUMMARY

[0005] The application aims to provide a river sediment pollution diagnosis and intelligent repair system based on AI image recognition to solve the problems raised in the background.

[0006] To achieve the above-mentioned purpose, the application provides the following technical scheme: a river sediment pollution diagnosis and intelligent repair system based on AI image recognition, comprising a base, a feeding assembly for repairing the river sediment is fixedly connected to the top of the base, a floating assembly is arranged outside the bottom end of the base, and a pollution diagnosis assembly is arranged inside the base.

[0007] As a preferred embodiment, the floating assembly comprises a track-shaped annular air bag fixedly connected to the base, and side air bags are fixedly connected to both sides of the annular air bag.

[0008] As a preferred embodiment, the feeding assembly comprises a top plate fixedly connected to the top of the base, a storage tank is fixedly connected to the top of the top plate, a feeding pipe and a discharging pipe are fixedly connected to the top and the bottom of the storage tank respectively, an electric valve is arranged outside the discharging pipe, and discharging racks are fixedly connected to both sides of the bottom end of the discharging pipe.

[0009] As a preferred implementation, the top of the top plate is fixedly connected with a cylinder on one side of the storage tank, the telescopic end of the cylinder is fixedly connected with a lifting plate, one side of the bottom of the cylinder is fixedly connected with a connecting pipe, and the inner ring air bag in communication with the connecting pipe is fixedly connected at the included angle of the inner wall of the storage tank.

[0010] As a preferred implementation, the two sides of the lifting plate are fixedly connected with side plates, the front surface of each side plate is rotatably connected with a connecting plate, and the top of the top plate is fixedly connected with limiting frames on both sides.

[0011] As a preferred implementation, the inside of each set of limiting frames is slidably connected with a moving frame, the side of each moving frame facing the discharge frame is fixedly connected with an elastic impact head, and the top end of each moving frame is rotatably connected with the bottom end of a connecting plate.

[0012] As a preferred implementation, the pollution diagnosis assembly comprises a hydraulic telescopic rod rotatably connected to the bottom of the base and located inside the annular air bag, a bottom disc is fixedly connected to the telescopic end of the hydraulic telescopic rod, and a camera is fixedly connected to the bottom of the bottom disc.

[0013] As a preferred implementation, a motor is fixedly connected inside the base, a conveying screw is fixedly connected to the output shaft of the motor, a moving plate is threadedly connected to the outside of the conveying screw, a sliding sleeve is rotatably connected to the bottom of the moving plate, and a sliding frame adapted to the sliding sleeve is arranged on the side of the hydraulic telescopic rod facing the conveying screw.

[0014] As a preferred implementation, a guide frame is fixedly connected to the top and bottom of the front surface of the camera, a protective plate symmetrically arranged on the front surface of the camera is slidably connected inside the two guide frames, protective teeth are arranged on the outside of the protective plate, an electric telescopic rod is fixedly connected inside the bottom disc, a sliding ring slidably connected to the outside of the camera is fixedly connected to the telescopic end of the electric telescopic rod, connecting arms are rotatably connected to the two sides of the sliding ring, and the outwardly facing sides of the two protective plates are rotatably connected to the other ends of the two connecting arms.

[0015] As a preferred implementation, a battery compartment and a controller are fixedly connected to the two sides of the top of the base, and the controller is electrically connected to an AI image processing terminal outside through a wireless module.

[0016] Compared with the prior art, the present application has the following advantages:

[0017] The river sediment pollution diagnosis and intelligent repair system based on AI image recognition changes the lag mode of traditional manual sampling and laboratory analysis by setting a pollution diagnosis component and a telecommunication connection with an external AI image processing terminal, uses a camera to collect underwater images in real time, uploads image data to an AI terminal for intelligent identification and analysis through a wireless module, can quickly judge the pollution type and pollution level of the sediment, which not only greatly improves the diagnosis efficiency and realizes rapid survey of a large range of rivers, but also provides instant and reliable decision basis for subsequent accurate repair.

[0018] The river sediment pollution diagnosis and intelligent repair system based on AI image recognition effectively solves the technical problem that underwater lenses are easily covered with silt and pollutants by setting a camera protection mechanism, the protection plate can be closed to form protection during the camera's underwater exploration, can be accurately opened when diagnosis is needed, and can be closed again to scrape off the dirt when the lens is at risk of being contaminated. This design ensures that the camera can capture clear images under any working condition, fundamentally guaranteeing the accuracy and reliability of the AI image recognition result.

[0019] The river sediment pollution diagnosis and intelligent repair system based on AI image recognition forms a stable water operation platform by setting a floating component composed of a runway-shaped annular air bag and two side air bags, which significantly improves the wind and wave resistance and overall stability of the device on the water surface, providing a stable basis for accurate execution of diagnosis and drug delivery actions. At the same time, by setting a hydraulic telescopic rod translation mechanism driven by a motor, a conveying screw and a sliding sleeve, the camera has horizontal scanning capability and can systematically survey the target area, avoiding the randomness of single-point sampling, thereby obtaining more comprehensive and representative sediment pollution data.

[0020] The river sediment pollution diagnosis and intelligent repair system based on AI image recognition can periodically and automatically knock and vibrate the discharge rack by setting a vibration discharge mechanism composed of a pneumatic cylinder, a lifting plate, a connecting plate and an elastic impact head. This purely mechanical linkage design can effectively shake off moist chemicals that may be stuck or bridged on the inner wall of the discharge pipe, preventing the common fault of pipe blockage, ensuring the smoothness and long-term continuous operation of the drug delivery system, and further improving the reliability of the device. BRIEF DESCRIPTION OF DRAWINGS

[0021] Fig. 1 is a perspective view of the structure of the present application;

[0022] Fig. 2 is a side view of the structure of the present application;

[0023] Fig. 3 is a partial sectional view of the structure of the present application;

[0024] Fig. 4 schematic view of the top of the base;

[0025] Fig. 5 schematic view of the bottom of the base;

[0026] Fig. 6 schematic view of the bottom of the chassis.

[0027] In the figure: 1, base; 101, battery compartment; 102, controller; 2, annular air bag; 201, side air bag; 3, top plate; 301, limiting frame; 4, storage tank; 401, discharging pipe; 402, feeding pipe; 403, discharging frame; 5, air cylinder; 501, connecting pipe; 502, inner ring air bag; 6, lifting plate; 601, side plate; 8, connecting plate; 801, moving frame; 802, elastic impact head; 9, motor; 10, conveying screw; 1001, moving plate; 1002, sliding sleeve; 11, hydraulic telescopic rod; 1101, sliding frame; 13, chassis; 1301, camera; 1302, guide frame; 1303, protection plate; 1304, protection tooth; 1305, connecting arm; 1306, sliding ring; 1307, electric telescopic rod. DETAILED DESCRIPTION

[0028] The application will be further described below in conjunction with examples.

[0029] The following examples are used to illustrate the present application, but cannot be used to limit the protection scope of the present application. The conditions in the examples can be further adjusted according to specific conditions, and simple improvements of the method of the present application under the concept of the present application all belong to the protection scope of the present application.

[0030] Please refer to Figs. 1-6The application provides a river channel sediment pollution diagnosis and intelligent repair system based on AI image recognition, which comprises a base 1, a feeding assembly for repairing river channel sediment is fixedly connected to the top of the base 1, the feeding assembly comprises a top plate 3 fixedly connected to the top of the base 1, a storage tank 4 is fixedly connected to the top of the top plate 3, an inlet pipe 402 and a discharge pipe 401 are fixedly connected to the top and the bottom of the storage tank 4 respectively, an electric valve is arranged outside the discharge pipe 401, discharge racks 403 are fixedly connected to the bottom of the discharge pipe 401, a gas cylinder 5 is fixedly connected to one side of the top of the top plate 3 and located at one side of the storage tank 4, a lifting plate 6 is fixedly connected to the extension end of the gas cylinder 5, a connecting pipe 501 is fixedly connected to one side of the bottom of the gas cylinder 5, an inner ring air bag 502 in communication with the connecting pipe 501 is fixedly connected to the angle of the inner wall of the storage tank 4, side plates 601 are fixedly connected to the two sides of the lifting plate 6, connecting plates 8 are rotatably connected to the front of each side plate 601, limiting racks 301 are fixedly connected to the top of the top plate 3 and located at the two discharge racks 403, moving racks 801 are slidably connected to the inside of each set of limiting racks 301, and elastic impact heads 802 are fixedly connected to one side of each moving rack 801 and rotatably connected to the bottom end of one connecting plate 8.

[0031] The controller 102 controls the electric valve on the discharge pipe 401 at the bottom of the storage tank 4 to be opened according to the received pollution instruction, the higher the pollution degree is, the longer the valve opening time is, and the more the repair reagent is added, so that accurate and quantitative addition is realized.

[0032] Before and after the reagent adding process or during regular maintenance, the controller 102 can start the gas cylinder 5, the extension end of the gas cylinder 5 pushes the lifting plate 6 to reciprocate up and down, the lifting plate 6 drives the connecting plate 8 to move through the side plates 601 on the two sides, the connecting plate 8 drives the moving rack 801 to slide up and down in the limiting rack 301, so that the elastic impact head 802 fixed to the moving rack 801 repeatedly and powerfully knocks the side wall of the discharge rack 403, the strong vibration generated can effectively shake off the damp reagent adhered to the inner wall of the discharge rack 403 and the discharge pipe 401, so that blockage is prevented and smooth reagent adding is ensured.

[0033] Meanwhile, when the gas cylinder 5 acts, the air in the gas cylinder 5 is compressed or released, the connecting pipe 501 is used to inflate or exhaust the inner ring air bag 502, the inner ring air bag 502 is attached to the inner wall of the storage tank 4, the periodic expansion and contraction of the inner ring air bag 502 produces the effects of extrusion and relaxation on the tank wall, can further disturb the reagent in the tank, and can destroy the possible “material arch”, so that the effects of auxiliary damp-proofing and blockage removal are achieved.

[0034] After the diagnosis and repair of one point are completed, the hydraulic telescopic rod 11 is retracted, the camera 1301 is lifted above the water surface, the protection plate 1303 is closed, and the motor 9 drives the diagnosis assembly to move to the next point or to reset, so that the device can be manually navigated to the next working area.

[0035] Please refer to Figs. 1-3 , the bottom end of the base 1 is externally provided with a floating assembly, the floating assembly comprises a track-shaped annular air bag 2 fixedly connected to the base 1, and both sides of the annular air bag 2 are fixedly connected with side air bags 201;

[0036] The floating force provided by the annular air bag 2 and the side air bags 201 is placed on the water surface of the river to be repaired, the battery compartment 101 supplies power for the whole system, the controller 102 is started, and a connection with an AI image processing terminal in the cloud is established through a wireless module.

[0037] Please refer to Figs. 1-6 , the inside of the base 1 is provided with a pollution diagnosis assembly, the pollution diagnosis assembly comprises a hydraulic telescopic rod 11 rotatably connected to the bottom of the base 1 and located inside the annular air bag 2, a bottom plate 13 fixedly connected to the telescopic end of the hydraulic telescopic rod 11, a camera 1301 fixedly connected to the bottom of the bottom plate 13, a motor 9 fixedly connected to the inside of the base 1, a conveying screw 10 fixedly connected to the output shaft of the motor 9, a moving plate 1001 threadedly connected to the outside of the conveying screw 10, a sliding sleeve 1002 rotatably connected to the bottom of the moving plate 1001, a sliding frame 1101 provided on one side of the hydraulic telescopic rod 11 and facing the conveying screw 10, two guide frames 1302 fixedly connected to the top and bottom of the front of the camera 1301, a protection plate 1303 symmetrically arranged on the front of the camera 1301 and slidably connected to the inside of the two guide frames 1302, protection teeth 1304 provided on the outside of the protection plate 1303, an electric telescopic rod 1307 fixedly connected to the inside of the bottom plate 13, a sliding ring 1306 slidably connected to the outside of the camera 1301 and fixedly connected to the telescopic end of the electric telescopic rod 1307, a connecting arm 1305 rotatably connected to both sides of the sliding ring 1306, and the other ends of the two connecting arms 1305 rotatably connected to the outward-facing sides of the two protection plates 1303, respectively; the top of the base 1 is fixedly connected with a battery compartment 101 and a controller 102 on both sides, respectively; the inside of the controller 102 is telecommunication connected with an AI image processing terminal in the outside through a wireless module;

[0038] The controller 102 starts the motor 9 to drive the conveying screw 10 to rotate, drives the moving plate 1001 and the sliding sleeve 1002 at the bottom of the moving plate 1001 to move transversely along the sliding frame 1101, and thus drives the hydraulic telescopic rod 11 to move transversely at the lower part of the base 1; after moving to a predetermined point, the hydraulic telescopic rod 11 is elongated to push the bottom plate 13 and the camera 1301 to extend downward into the water until close to the surface of the bottom mud;

[0039] In the process of lowering the camera 1301, the electric telescopic rod 1307 is in the retracted state, and the two protective plates 1303 are pulled along the guide frame 1302 to the middle by the connecting arm 1305, the protective teeth 1304 on them are interlaced with each other, forming protection, preventing the direct impact of silt on the lens, when shooting is needed, the electric telescopic rod 1307 is elongated, pushing the sliding ring 1306 to move forward, and the two protective plates 1303 are pushed open to the two sides through the connecting arm 1305, exposing the lens for shooting, if the lens is slightly attached with pollutants, the closing-opening operation can be performed again to clean the inside of the protective plate 1303 by scraping;

[0040] The working principle and use process of the application are as follows: first, the device is placed on the water surface of the river to be repaired by the buoyancy provided by the annular air bag 2 and the side air bag 201, the battery compartment 101 supplies power to the whole system, the controller 102 is started, and a connection is established between the wireless module and the AI image processing terminal in the cloud;

[0041] The controller 102 starts the motor 9, drives the conveying screw rod 10 to rotate, drives the moving plate 1001 and the sliding sleeve 1002 at the bottom thereof to move transversely along the sliding frame 1101, thereby pushing the hydraulic telescopic rod 11 to move transversely at the lower part of the base 1, after moving to the predetermined point, the hydraulic telescopic rod 11 is elongated, pushing the chassis 13 and the camera 1301 to stretch into the water, until close to the surface of the silt;

[0042] In the process of lowering the camera 1301, the electric telescopic rod 1307 is in the retracted state, and the two protective plates 1303 are pulled along the guide frame 1302 to the middle by the connecting arm 1305, the protective teeth 1304 on them are interlaced with each other, forming protection, preventing the direct impact of silt on the lens, when shooting is needed, the electric telescopic rod 1307 is elongated, pushing the sliding ring 1306 to move forward, and the two protective plates 1303 are pushed open to the two sides through the connecting arm 1305, exposing the lens for shooting, if the lens is slightly attached with pollutants, the closing-opening operation can be performed again to clean the inside of the protective plate 1303 by scraping;

[0043] The silt image data collected by the camera 1301 is transmitted in real time to the external AI image processing terminal through the wireless module, the AI terminal intelligently analyzes the color, texture and pollutant characteristics of the image, quickly diagnoses the pollution type and grade of the point, and sends the diagnosis result command back to the controller 102 on the device;

[0044] The controller 102 controls the electric valve on the bottom discharging pipe 401 of the storage tank 4 to open according to the received pollution instruction; the higher the pollution degree is, the longer the valve opening time is, and the more the repair reagent is added, so that precise quantitative addition is realized.

[0045] Before and after the reagent adding process or during regular maintenance, the controller 102 can start the air cylinder 5, the telescopic end of the air cylinder 5 pushes the lifting plate 6 to reciprocate up and down, the lifting plate 6 drives the connecting plate 8 to move through the side plates 601 on both sides, the connecting plate 8 drives the moving frame 801 to slide up and down in the limiting frame 301, so that the elastic impact head 802 fixed on the moving frame 801 repeatedly and powerfully strikes the side wall of the discharging frame 403, the strong vibration generated can effectively shake off the damp reagent adhering to the inner wall of the discharging frame 403 and the discharging pipe 401, prevents blockage, and ensures smooth reagent adding;

[0046] Meanwhile, when the air cylinder 5 acts, the air inside the air cylinder 5 is compressed or released, and the inner ring air bag 502 attached to the inner wall of the storage tank 4 is inflated or deflated through the connecting pipe 501, the periodic expansion and contraction of the inner ring air bag 502 produces a squeezing and relaxing effect on the tank wall, which can further disturb the reagent in the tank and destroy the possible “material arch”, and plays an auxiliary role in preventing damp and unblocking;

[0047] After completing the diagnosis and repair of one point, the hydraulic telescopic rod 11 is retracted, the camera 1301 is lifted above the water surface, the protection plate 1303 is closed, and the motor 9 drives the diagnosis assembly to move to the next point or reset, and the device can be manually or automatically navigated to the next working area.

[0048] It should be noted that the AI image recognition technology involved in the above scheme is a publicly known technology. The core is to use a mature deep learning model (such as a convolutional neural network CNN) to identify and classify features in an image. The present application does not aim to improve the AI image recognition algorithm itself.

[0049] Although embodiments of the present application have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made therein without departing from the principles of the application, the scope of which is defined by the appended claims and their equivalents.

Claims

1. An AI image recognition-based river sediment pollution diagnosis and intelligent repair system, comprising a base (1), characterized in that: The top of the base (1) is fixedly connected with a feeding assembly for repairing river channel sediment, the outer bottom end of the base (1) is provided with a floating assembly, and the inner bottom end of the base (1) is provided with a pollution diagnosis assembly.

2. The AI image recognition-based river sediment pollution diagnosis and intelligent repair system according to claim 1, characterized in that: The floating assembly comprises a runway-shaped annular air bag (2) fixedly connected to the base (1), and both sides of the annular air bag (2) are fixedly connected with side air bags (201). 3.The AI image recognition-based river channel sediment pollution diagnosis and intelligent repair system according to claim 2, characterized in that: The feeding assembly comprises a top plate (3) fixedly connected to the top of the base (1), the top of the top plate (3) is fixedly connected with a storage tank (4), the top and bottom of the storage tank (4) are fixedly connected with a feeding pipe (402) and a discharging pipe (401) respectively, the outer bottom end of the discharging pipe (401) is fixedly connected with a discharging rack (403) on both sides.

4. The AI image recognition-based river sediment pollution diagnosis and intelligent repair system according to claim 3, characterized in that: The top of the top plate (3) is fixedly connected with a gas cylinder (5) on one side of the storage tank (4), the telescopic end of the gas cylinder (5) is fixedly connected with a lifting plate (6), one side of the bottom of the gas cylinder (5) is fixedly connected with a connecting pipe (501), and the inner wall of the storage tank (4) is fixedly connected with an inner ring air bag (502) in communication with the connecting pipe (501). 5.The AI image recognition-based river channel sediment pollution diagnosis and intelligent repair system according to claim 4, characterized in that: Both sides of the lifting plate (6) are fixedly connected with side plates (601), and the front surface of each side plate (601) is rotatably connected with a connecting plate (8), and the top of the top plate (3) is fixedly connected with a limiting rack (301) on both discharging racks (403). 6.The AI image recognition-based river channel sediment pollution diagnosis and intelligent repair system according to claim 5, characterized in that: The inner bottom end of each limiting rack (301) is slidably connected with a moving rack (801), one side of each moving rack (801) is fixedly connected with an elastic impact head (802) facing the discharging rack (403), and the top end of each moving rack (801) is rotatably connected with the bottom end of one connecting plate (8). 7.The AI image recognition-based river channel sediment pollution diagnosis and intelligent repair system according to claim 5, characterized in that: The pollution diagnosis assembly comprises a hydraulic telescopic rod (11) rotatably connected to the bottom of the base (1) and located in the annular air bag (2), the telescopic end of the hydraulic telescopic rod (11) is fixedly connected with a bottom disc (13), and the bottom of the bottom disc (13) is fixedly connected with a camera (1301). 8.The AI image recognition-based river channel sediment pollution diagnosis and intelligent repair system according to claim 7, characterized in that: The inner bottom end of each limiting rack (301) is slidably connected with a moving rack (801), one side of each moving rack (801) is fixedly connected with an elastic impact head (802) facing the discharging rack (403), and the top end of each moving rack (801) is rotatably connected with the bottom end of one connecting plate (8). The inner bottom end of each limiting rack (301) is slidably connected with a moving rack (801), one side of each moving rack (801) is fixedly connected with an elastic impact head (802) facing the discharging rack (403), and the top end of each moving rack (801) is rotatably connected with the bottom end of one connecting plate (8). 9.The AI image recognition-based river channel sediment pollution diagnosis and intelligent repair system according to claim 8, characterized in that: The top and bottom of the front of the camera (1301) are fixedly connected with guide frames (1302), the interiors of the two guide frames (1302) are slidably connected with protection plates (1303) symmetrically arranged on the front of the camera (1301), the exterior of the protection plate (1303) is provided with protection teeth (1304), the interior of the chassis (13) is fixedly connected with an electric telescopic rod (1307), the telescopic end of the electric telescopic rod (1307) is fixedly connected with a sliding ring (1306) slidably connected on the exterior of the camera (1301), the two sides of the sliding ring (1306) are rotatably connected with connecting arms (1305), the other ends of the two connecting arms (1305) are rotatably connected with the two protection plates (1303) respectively. 10.The AI image recognition-based river channel sediment pollution diagnosis and intelligent repair system according to claim 9, characterized in that: The top of the base (1) is fixedly connected with a battery compartment (101) and a controller (102) on the two sides respectively, the interior of the controller (102) is connected with an AI image processing terminal outside through a wireless module.

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