Intelligent river water quality monitoring device based on federal learning

Abstract

The utility model discloses an intelligent river water quality monitoring device based on federal learning, which comprises a floating plate, the top surface of the floating plate is fixedly connected with a PLC (Programmable Logic Controller), the top surface of the floating plate is fixedly connected with a Z-shaped plate, the inner wall of the Z-shaped plate is fixedly connected with a detector, the surface of the detector is fixedly connected with a protective sleeve, and the protective sleeve is fixedly connected with a water pump. A cutting assembly is arranged on the inner wall of the floating plate, the cutting assembly comprises an outer rotating pipe, the outer rotating pipe is rotationally connected to the inner wall of the floating plate, and a Z-shaped plate, a detector, the outer rotating pipe, an L-shaped plate, a motor, a third bevel gear, a second bevel gear, an inner rotating pipe, the outer rotating pipe and the like which are arranged are matched for use; and the driving shaft of the motor rotates to drive the outer rotating pipe and the inner rotating pipe to rotate in opposite directions, so that plants such as aquatic plants contacted with the outer rotating pipe and the inner rotating pipe are cut, the detector keeps a good detection effect, and the service life is prolonged.

Description

Technical Field

[0001] The utility model relates to the technical field of monitoring devices, and specifically to an intelligent river water quality monitoring device based on federated learning. Background Art

[0002] As an emerging machine learning technology, federated learning has brought new opportunities for intelligent monitoring devices of river water quality. In intelligent monitoring of river water quality, different monitoring sites can serve as participants in federated learning. Each monitoring site is equipped with sensors and data acquisition equipment, which can collect relevant data on river water quality in real time. Federated learning is also called collaborative learning. This method consists of multiple clients and a server. It can collaboratively train shared models through the client's local data while ensuring that each client meets the requirements of user privacy protection and data security. In federated learning, the server first sends the initial model to the client participating in the model training. The client then uses the local data set for model training. Finally, the client encrypts the locally trained model parameters and uploads them to the server. The server aggregates all clients participating in the training, and then encrypts the aggregated global model parameters and sends them back to the participating clients for multiple iterations until the model reaches convergence conditions. Therefore, the training of federated learning relies on frequent communication between the server and the client.

[0003] In the existing technology, in order to achieve real-time monitoring of water quality, traditional intelligent monitoring of river water quality based on federated learning chooses to float the detection device on the water surface. Although this design can, to a certain extent, more conveniently obtain water quality data at different locations of the river, it has many disadvantages in actual applications. First, there are usually a large number of aquatic plants such as water plants growing in rivers. When the detection device moves with the water flow, it is easy to be entangled by the water plants, which not only affects the normal operation of the detection device, but also may cause physical obstruction to the water quality detection sensor, resulting in the sensor being unable to accurately collect water quality data. Secondly, when the sensor is entangled by the water plants, if the detection device still moves with the flow of the river, additional tension and friction will be generated, which may cause serious damage to the sensor. As the core component of the detection device, once the sensor is damaged, it will not only lead to the interruption of water quality monitoring, but also require a lot of time and cost to repair or replace. Therefore, there is an urgent need for an intelligent monitoring device for river water quality based on federated learning to solve the above problems. Utility Model Content

[0004] The purpose of the present invention is to provide an intelligent river water quality monitoring device based on federated learning, so as to solve the problem raised in the above background technology that aquatic plants such as aquatic plants in rivers may entangle the detector and cause damage.

[0005] To achieve the above objectives, the present invention provides the following technical solution: a federated learning-based intelligent river water quality monitoring device, comprising a floating plate, a PLC controller fixedly connected to the top surface of the floating plate, a Z-shaped plate fixedly connected to the top surface of the floating plate, a detector fixedly connected to the inner wall of the Z-shaped plate, a protective cover fixedly connected to the surface of the detector, and a cutting assembly provided on the inner wall of the floating plate;

[0006] The cutting group includes an outer rotating tube, which is rotatably connected to the inner wall of the floating plate, the surface of the outer rotating tube is fixedly connected to the first bevel gear, the inner wall of the outer rotating tube is rotatably connected to the inner rotating tube, the surface of the inner rotating tube is fixedly connected to the second bevel gear, the top surface of the floating plate is fixedly connected to the L-shaped plate, the side wall of the L-shaped plate is fixedly connected to the motor, the output end of the motor passes through the left side of the L-shaped plate, the surface of the motor output end is fixedly connected to the third bevel gear, and the surface of the inner rotating tube is rotatably connected to the inner wall of the outer rotating tube.

[0007] Preferably, the surface of the outer rotating tube is provided with a plurality of inner oblique holes, and the surface of the inner rotating tube is provided with a plurality of outer oblique holes, the inner oblique holes and the outer oblique holes are both arranged as opposing oblique surfaces, and the surface of the outer rotating tube matches the inner wall of the inner rotating tube.

[0008] Preferably, a sealing ring is fixedly connected to the inner wall of the floating plate, and the inner wall of the sealing ring is rotatably connected to the surface of the outer rotating tube.

[0009] Preferably, a shielding ring is fixedly connected to the top surface of the floating board, and a shielding cap is fixedly connected to the top surface of the shielding ring.

[0010] Preferably, the third bevel gear is meshed and connected with the second bevel gear, and the third bevel gear is meshed and connected with the first bevel gear.

[0011] Preferably, a battery is fixedly connected to the top surface of the floating board, the battery is electrically connected to the detector, the battery is electrically connected to the PLC controller, and the battery is electrically connected to the motor.

[0012] Compared with the prior art, the beneficial effects of the present invention are:

[0013] By cooperating with each other, the Z-shaped plate, detector, outer rotating tube, L-shaped plate, motor, third bevel gear, second bevel gear, inner rotating tube and outer rotating tube, the rotation of the driving shaft of the motor can drive the outer rotating tube and the inner rotating tube to rotate in opposite directions, thereby cutting the aquatic plants and the like that are in contact with the outer rotating tube and the inner rotating tube, so that the detector maintains a good detection effect and improves its service life. BRIEF DESCRIPTION OF THE DRAWINGS

[0014] Figure 1It is a schematic diagram of the three-dimensional structure of the utility model;

[0015] Figure 2 This is a schematic diagram of the shielding ring structure of the utility model;

[0016] Figure 3 This is a schematic diagram of the inner rotating tube structure of the present utility model;

[0017] Figure 4 This is a schematic diagram of the sealing ring structure of the utility model;

[0018] Figure 5 This is a schematic diagram of the outer rotating tube structure of the utility model;

[0019] Figure 6 This is a schematic diagram of the protective cover structure of the utility model;

[0020] Figure 7 This is a schematic diagram of the external oblique hole structure of the utility model.

[0021] In the figure: 1. Floating plate; 2. PLC controller; 3. Z-shaped plate; 4. Detector; 5. Outer rotating tube; 6. First bevel gear; 7. Inner rotating tube; 8. Second bevel gear; 9. L-shaped plate; 10. Motor; 11. Third bevel gear; 12. Inner oblique hole; 13. Outer oblique hole; 14. Sealing ring; 15. Shielding ring; 16. Shielding cap; 17. Battery; 18. Protective cover. DETAILED DESCRIPTION

[0022] 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 embodiments described 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 making creative efforts are within the scope of protection of the present invention.

[0023] See also Figure 1-7The utility model provides an intelligent river water quality monitoring device based on federated learning, including a floating board 1, the top surface of the floating board 1 is fixedly connected to a PLC controller 2, the top surface of the floating board 1 is fixedly connected to a Z-shaped plate 3, the inner wall of the Z-shaped plate 3 is fixedly connected to a detector 4, the surface of the detector 4 is fixedly connected to a protective cover 18, the inner wall of the floating board 1 is provided with a cutting assembly, the cutting group includes an outer rotating tube 5, the outer rotating tube 5 is rotatably connected to the inner wall of the floating board 1, the surface of the outer rotating tube 5 is fixedly connected to a first bevel gear 6, the inner wall of the outer rotating tube 5 is rotatably connected to an inner rotating tube 7, the surface of the inner rotating tube 7 is fixedly connected to a second bevel gear 8, the top surface of the floating board 1 is fixedly connected to an L-shaped plate 9, the side wall of the L-shaped plate 9 is fixedly connected to a motor 10, the output end of the motor 10 passes through the left side of the L-shaped plate 9, the surface of the output end of the motor 10 is fixedly connected to a third bevel gear 11, and the surface of the inner rotating tube 7 is rotatably connected to the inner wall of the outer rotating tube 5.

[0024] Furthermore, a plurality of inner oblique holes 12 are provided on the surface of the outer rotating tube 5, and a plurality of outer oblique holes 13 are provided on the surface of the inner rotating tube 7. The inner oblique holes 12 and the outer oblique holes 13 are both arranged as opposing oblique surfaces. The surface of the outer rotating tube 5 matches the inner wall of the inner rotating tube 7. The inner oblique holes 12, the outer rotating tube 5 and the inner rotating tube 7 cooperate with each other to facilitate cutting of the aquatic plants that the surface of the outer rotating tube 5 contacts.

[0025] Furthermore, a sealing ring 14 is fixedly connected to the inner wall of the floating board 1 , and the inner wall of the sealing ring 14 is rotatably connected to the surface of the outer rotating tube 5 , so that the sealing ring 14 is provided to prevent water from entering the surface.

[0026] Furthermore, a shielding ring 15 is fixedly connected to the top surface of the floating board 1, and a shielding cap 16 is fixedly connected to the top surface of the shielding ring 15. The shielding ring 15 is set to prevent river water from entering the inner wall of the shielding ring 15, and the shielding cap 16 is set to prevent rainwater from entering the inner wall of the shielding ring 15.

[0027] Furthermore, the third bevel gear 11 is meshed and connected with the second bevel gear 8, and the third bevel gear 11 is meshed and connected with the first bevel gear 6. By setting the third bevel gear 11, the rotation of the third bevel gear 11 can drive the second bevel gear 8 and the first bevel gear 6 to rotate in opposite directions.

[0028] Furthermore, a battery 17 is fixedly connected to the top surface of the floating board 1, the battery 17 is electrically connected to the detector 4, the battery 17 is electrically connected to the PLC controller 2, and the battery 17 is electrically connected to the motor 10. The battery 17 is provided to facilitate the provision of power to the detector 4, the PLC controller 2 and the motor 10.

[0029] Working principle: Through the floating board 1, the motor 10 is started through the PLC controller 2. The rotation of the driving shaft of the motor 10 drives the third bevel gear 11 to rotate. The rotation of the third bevel gear 11 drives the second bevel gear 8 and the first bevel gear 6 to rotate in opposite directions at the same time. The rotation of the third bevel gear 11 drives the inner rotating tube 7 to rotate. The rotation of the first bevel gear 6 drives the outer rotating tube 5 to rotate, thereby cutting the water plants such as the water plants that the outer rotating tube 5 and the inner rotating tube 7 contact, so that the detector 4 maintains a good detection effect.

[0030] It will be apparent to those skilled in the art that the present invention is not limited to the details of the exemplary embodiments described above and that the present invention can be implemented in other specific forms without departing from the spirit or essential characteristics of the present invention. Therefore, the embodiments should be considered in all respects as illustrative and non-restrictive, and the scope of the present invention is defined by the appended claims, not the foregoing description, and all variations within the meaning and range of equivalents of the claims are intended to be encompassed within the present invention. Any reference sign in a claim should not be construed as limiting the claim to which it relates.

Claims

1. A river water quality intelligent monitoring device based on federated learning, comprising a floating board (1), characterized in that: The top surface of the floating board (1) is fixedly connected to a PLC controller (2), the top surface of the floating board (1) is fixedly connected to a Z-shaped board (3), the inner wall of the Z-shaped board (3) is fixedly connected to a detector (4), the surface of the detector (4) is fixedly connected to a protective sleeve (18), and the inner wall of the floating board (1) is provided with a cutting assembly; The cutting group comprises an outer rotating tube (5), the outer rotating tube (5) is rotatably connected to the inner wall of the floating plate (1), the surface of the outer rotating tube (5) is fixedly connected to a first bevel gear (6), the inner wall of the outer rotating tube (5) is rotatably connected to an inner rotating tube (7), the surface of the inner rotating tube (7) is fixedly connected to a second bevel gear (8), the top surface of the floating plate (1) is fixedly connected to an L-shaped plate (9), the side wall of the L-shaped plate (9) is fixedly connected to a motor (10), the output end of the motor (10) passes through the left side of the L-shaped plate (9), the surface of the output end of the motor (10) is fixedly connected to a third bevel gear (11), and the surface of the inner rotating tube (7) is rotatably connected to the inner wall of the outer rotating tube (5).

2. The intelligent river water quality monitoring device based on federated learning according to claim 1 is characterized by: The surface of the outer rotating tube (5) is provided with a plurality of inner oblique holes (12), and the surface of the inner rotating tube (7) is provided with a plurality of outer oblique holes (13). The inner oblique holes (12) and the outer oblique holes (13) are both arranged as opposing oblique surfaces, and the surface of the outer rotating tube (5) matches the inner wall of the inner rotating tube (7).

3. The intelligent river water quality monitoring device based on federated learning according to claim 1 is characterized by: A sealing ring (14) is fixedly connected to the inner wall of the floating plate (1), and the inner wall of the sealing ring (14) is rotatably connected to the surface of the outer rotating tube (5).

4. The intelligent river water quality monitoring device based on federated learning according to claim 1 is characterized by: The top surface of the floating plate (1) is fixedly connected to a shielding ring (15), and the top surface of the shielding ring (15) is fixedly connected to a shielding cap (16).

5. The intelligent river water quality monitoring device based on federated learning according to claim 1 is characterized by: The third bevel gear (11) is meshed and connected with the second bevel gear (8), and the third bevel gear (11) is meshed and connected with the first bevel gear (6).

6. The intelligent river water quality monitoring device based on federated learning according to claim 1 is characterized by: A battery (17) is fixedly connected to the top surface of the floating board (1), the battery (17) is electrically connected to the detector (4), the battery (17) is electrically connected to the PLC controller (2), and the battery (17) is electrically connected to the motor (10).

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