A fully-closed grating waste residue treatment automation device

Abstract

This utility model relates to the field of waste residue treatment technology and discloses a fully enclosed automated device for treating waste residue using bar screens. The device includes a support frame with three side rails fixedly installed on the top, and auxiliary rods fixedly installed on the outer walls of the three side rails. This fully enclosed automated device for treating waste residue using bar screens establishes an AI model through a bar screen AI recognition system module. It uses images from system cameras to determine the degree of bar screen accumulation in the bar screen bucket. When the bar screen AI recognition system module identifies a "full" state, it sends a warning alarm. The device utilizes an RSP robot scheduling system module, which focuses on the efficient scheduling and management of automated equipment and robots. It employs advanced algorithms to optimize robot task allocation, path planning, and collaborative operations to improve the efficiency and accuracy of factory and warehouse operations. It also provides a user-friendly and intuitive interface, enabling operators to easily monitor equipment, tasks, and processes.

Description

Technical Field

[0001] This utility model relates to the field of waste residue treatment technology, specifically to a fully enclosed grid waste residue treatment automation device. Background Technology

[0002] Currently, wastewater treatment plants rely on manual cleaning of screenings during pretreatment, and research on automated screenings removal is severely lacking. The intelligent management of wastewater treatment is attracting industry attention, with efforts focused on achieving intelligent and digital management, and realizing unmanned or minimally staffed operation. We actively seek out, identify, research, and summarize problems, and specifically look for optimization solutions. Through research, we have linked a stealthy robot with an existing AI-based screenings recognition system to create an automated screenings removal system that can automatically replace screenings bins.

[0003] To prevent MBR membranes from being damaged by debris, a fine screen is added to the pretreatment process to remove fine hair and fibrous materials, preventing surface fouling within the membrane module. The fine screen has a pore size of 3mm, while the membrane screen has a pore size of 1mm, resulting in a large amount of screenings. The equipment cannot automatically replace the trash cans, so cleaning staff regularly collect the trash cans in the garbage room, requiring employees to manually replace them on-site at irregular intervals. Under normal circumstances, the trash cans need to be replaced 3-4 times during the night shift, and 5-8 times when the SS concentration in the influent is high, which is not conducive to achieving a reduced-staff or unmanned operation mode. Utility Model Content

[0004] To address the shortcomings of existing technologies, this utility model provides a fully enclosed automated device for treating bar screen waste, which has the advantages of monitoring the residual capacity of the bar screen and automatically removing the screen residue, thus solving the problems mentioned in the background technology.

[0005] This utility model provides the following technical solution: a fully enclosed automated grid waste treatment device, comprising a support body, three side railings fixedly installed on the top of the support body, auxiliary rods fixedly installed on the outer walls of the three side railings, a placement groove opened on the top of the support body, a circular plate fixedly installed on the outer wall of the placement groove, a ramp overlapping the outer wall of the support body, a double door rotatably connected to the outer wall of the support body, a limit rod slidably sleeved on the outer wall of the double door, a circular plate fixedly connected to the limit rod, a spring movably sleeved on the outer wall of the limit rod, an AGV unmanned transport vehicle body placed on one side of the outer wall of the support body, a tray installed on the top of the AGV unmanned transport vehicle body, a controller fixedly installed on the outer wall of the AGV unmanned transport vehicle body, an RSP robot scheduling system module fixedly connected to the inner wall of the AGV unmanned transport vehicle body, a garbage bin body placed on the top of the support body, universal wheels rotatably connected to the bottom of the garbage bin body, and a grid waste AI recognition system module fixedly connected to the outer wall of the double door.

[0006] As a preferred technical solution of this utility model: the number of auxiliary rods is four, and the four auxiliary rods are evenly distributed at the four corners of the outer wall of the three-sided guardrail.

[0007] As a preferred technical solution of this utility model: the inner wall of the bracket body is provided with a circular hole, and the circular hole is inserted into the outer wall of one end of the limiting rod.

[0008] As a preferred technical solution of this utility model: the controller is electrically connected to the screenings AI recognition system module, and the outer wall of the slope is triangular.

[0009] As a preferred technical solution of this utility model: one end of the spring is fixed to the double door, and the other end of the spring is fixed to the circular plate.

[0010] As a preferred technical solution of this utility model: the outer wall of the universal wheel is adapted to the placement groove, and the controller is electrically connected to the RSP robot scheduling system module.

[0011] Compared with the prior art, the present invention has the following beneficial effects:

[0012] 1. This fully enclosed automated screen waste treatment device establishes an AI model through a screen waste AI recognition system module. It uses images fed back by the system's cameras to determine the degree of screen waste accumulation in the screen waste bin. When the screen waste AI recognition system module identifies a "full" state, it will issue a signal for early warning and alarm. The RSP robot scheduling system module focuses on the efficient scheduling and management of automated equipment and robots. It uses advanced algorithms to optimize robot task allocation, path planning, and collaborative operation to improve the efficiency and accuracy of factory and warehouse operations. It also provides a user-friendly and intuitive user interface, enabling operators to easily monitor equipment, tasks, and processes.

[0013] 2. This fully enclosed automated grid waste disposal device allows personnel to push the garbage bins, which in turn use casters to assist in ramping uphill against the outer wall of the slope. This facilitates loading and unloading and avoids the time-consuming and labor-intensive process of manually carrying the garbage bins to the top of the support frame. The garbage bins, driven by the casters, move to the placement slot, where a circular plate blocks the casters, preventing the garbage bins from tipping over or shifting during transport. By placing the garbage bins on top of the support frame and rotating the two double doors to close one side of the three-sided guardrail, external force releases the limit rod. The limit rod, through the spring force, pushes the circular plate, causing the limit rod to insert into the inner wall of the circular hole, achieving locking protection. Attached Figure Description

[0014] Figure 1 This is a three-dimensional structural diagram of the present invention;

[0015] Figure 2This is a schematic diagram of the AGV (Automated Guided Vehicle) body structure of this utility model;

[0016] Figure 3 This is a schematic diagram of the placement groove structure of this utility model;

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

[0018] Figure 5 This is a schematic diagram of the structure of the AI ​​recognition system for screenings of this utility model.

[0019] In the diagram: 1. Support frame; 2. Three-sided guardrail; 3. Auxiliary bar; 4. Trash can body; 5. Casters; 6. Double door; 7. Ramp; 8. Pallet; 9. Controller; 10. AGV unmanned transport vehicle body; 11. Limit bar; 12. Placement slot; 13. Slag AI recognition system module; 14. Circular plate; 15. Spring; 16. Circular hole; 17. RSP robot scheduling system module. Detailed Implementation

[0020] The technical solutions of the present utility model will be clearly and completely described below with reference to the accompanying drawings of the embodiments. Obviously, the described embodiments are only some embodiments of the present utility model, and not all embodiments. Based on the embodiments of the present utility model, all other embodiments obtained by those of ordinary skill in the art without creative effort are within the protection scope of the present utility model.

[0021] Please see Figure 1 - Figure 5 A fully enclosed automated grid waste treatment device includes a support body 1. Three side guardrails 2 are fixedly installed on the top of the support body 1. Auxiliary rods 3 are fixedly installed on the outer walls of the three side guardrails 2. A placement groove 12 is opened on the top of the support body 1. A circular plate 14 is fixedly installed on the outer wall of the placement groove 12. A ramp 7 overlaps with the outer wall of the support body 1. A double door 6 is rotatably connected to the outer wall of the support body 1. A limit rod 11 is slidably sleeved on the outer wall of the double door 6. The limit rod 11 is fixedly connected to the circular plate 14. The outer wall of the limit rod 11 is movable. A spring 15 is connected to the support body 1. An AGV unmanned transport vehicle body 10 is placed on one outer wall of the support body 1. A tray 8 is installed on the top of the AGV unmanned transport vehicle body 10. A controller 9 is fixedly installed on the outer wall of the AGV unmanned transport vehicle body 10. An RSP robot scheduling system module 17 is fixedly connected to the inner wall of the AGV unmanned transport vehicle body 10. A trash can body 4 is placed on the top of the support body 1. A universal wheel 5 is rolled at the bottom of the trash can body 4. A slag AI recognition system module 13 is fixedly connected to the outer wall of the double door 6.

[0022] In the above structure, the installation of three-sided guardrails 2 protects the garbage bin 4 during transportation and movement, thereby increasing the stability of the equipment during operation and preventing collapse.

[0023] In a preferred embodiment, the number of auxiliary rods 3 is four, and the four auxiliary rods 3 are evenly distributed at the four corners of the outer wall of the three-sided guardrail 2.

[0024] In the above structure, four auxiliary rods 3 are evenly distributed at the four corners of the outer wall of the three-sided guardrail 2. The four auxiliary rods 3 are used to reinforce the three-sided guardrail 2 and prevent the three-sided guardrail 2 from deforming due to external impacts after long-term use.

[0025] In a preferred embodiment, a circular hole 16 is provided on the inner wall of the support body 1, and the circular hole 16 is inserted into the outer wall of one end of the limiting rod 11.

[0026] In the above structure, by pulling the limiting rod 11 upward, the limiting rod 11 drives the circular plate 14 to compress the spring 15, and the limiting rod 11 disengages from the circular hole 16, so that the double door 6 rotates on the outer wall of the three-sided guardrail 2, thereby opening the trash can body 4.

[0027] In a preferred embodiment: the controller 9 is electrically connected to the screenings AI recognition system module 13, and the outer wall of the ramp 7 is triangular.

[0028] In the above structure, the garbage bin 4 is pushed by personnel, and the garbage bin 4 drives the casters 5 and the outer wall of the ramp 7 to assist in the upward movement, which facilitates the loading and unloading of materials and avoids the time-consuming and labor-intensive process of manually carrying the garbage bin 4 to the top of the support body 1. The AI ​​model is established by the screenings AI recognition system module 13, and the system uses the images fed back by the camera to judge the degree of screenings accumulation in the screenings bin. When the screenings AI recognition system module 13 recognizes the "full" state, it will issue a signal to issue an early warning alarm, and the scheduling system will then allocate tasks to achieve automatic replacement of the screenings bin.

[0029] In a preferred embodiment, one end of the spring 15 is fixed to the double door 6, and the other end of the spring 15 is fixed to the circular plate 14.

[0030] In the above structure, by placing the trash can body 4 on top of the support body 1, rotating the two double doors 6 to close one side of the three-sided guardrail 2, the external force releases the limiting rod 11, and the limiting rod 11 pushes the circular plate 14 through the elastic force of the spring 15, so that the limiting rod 11 is inserted into the inner wall of the circular hole 16 to achieve locking.

[0031] In a preferred embodiment: the outer wall of the caster 5 is adapted to the placement groove 12, and an electrical connection is formed between the controller 9 and the RSP robot scheduling system module 17.

[0032] In the above structure, by placing the trash can 4 on top of the support body 1, the trash can 4 drives the casters 5 to move to the placement slot 12, so that the circular plate 14 blocks the casters 5, preventing the trash can 4 from tipping over or shifting during transportation. During the movement of the AGV unmanned transport vehicle 10, the AGV unmanned transport vehicle 10 drives the pallet 8 to the bottom of the support body 1. The RSP robot scheduling system module 17 focuses on the efficient scheduling and management of automated equipment and robots. It uses advanced algorithms to optimize the robot's task allocation, path planning and collaborative operation to improve the efficiency and accuracy of factory and warehouse operations, and provides a user-friendly and intuitive user interface, enabling operators to easily monitor equipment, tasks and processes. The location and route of the trash can 4 are set in the AGV scheduling system, and the AGV transports the trash can 4 according to the set route based on the starting and ending positions.

[0033] Working principle: The garbage bin 4 is pushed by personnel, causing the casters 5 to move uphill against the outer wall of the ramp 7, facilitating loading and unloading and avoiding the time-consuming and labor-intensive task of manually placing the garbage bin 4 on top of the support frame 1. The garbage bin 4, with its casters 5, moves to the placement slot 12, where the circular plate 14 blocks the casters 5, preventing the garbage bin 4 from tipping over or shifting during transport. By placing the garbage bin 4 on top of the support frame 1 and rotating the two double doors 6 to close one side of the three-sided guardrail 2, the external force releases the limit rod 11. The limit rod 11, through the elasticity of the spring 15, pushes the circular plate 14, causing the limit rod 11 to insert into the inner wall of the circular hole 16, achieving locking protection. This allows the AGV unmanned transport vehicle 10 to move the garbage bin 4 via the support frame 1, preventing the garbage bin from tipping over or shifting during transport. An AI model is established through the garbage bin AI recognition system module 13, utilizing the system's camera feedback... The system uses images to determine the degree of slag accumulation in the slag bin. When the slag AI recognition system module 13 identifies a "full" state, it will issue a warning alarm. The scheduling system will then allocate tasks to achieve automatic replacement of the slag bin. During the movement of the AGV unmanned transport vehicle 10, the AGV unmanned transport vehicle 10 will move the pallet 8 to the bottom of the support body 1. The RSP robot scheduling system module 17 focuses on the efficient scheduling and management of automated equipment and robots. It uses advanced algorithms to optimize the robot's task allocation, path planning, and collaborative operation to improve the efficiency and accuracy of factory and warehouse operations. It also provides a user-friendly and intuitive interface so that operators can easily monitor equipment, tasks, and processes. The location and route of the garbage bin 4 are set in the RSP robot scheduling system module 17. The AGV will transport the garbage bin 4 according to the set route based on the starting and ending points.

[0034] Although embodiments of the present invention 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 to these embodiments without departing from the principles and spirit of the present invention, the scope of which is defined by the appended claims and their equivalents.

Claims

1. A fully closed grid waste residue treatment automation device, comprising a support body (1), characterized in that: The top of the support body (1) is fixedly equipped with three-sided guardrails (2), and the outer wall of the three-sided guardrails (2) is fixedly equipped with auxiliary rods (3). The top of the support body (1) is provided with a placement groove (12), and the outer wall of the placement groove (12) is fixedly equipped with a circular plate (14). The outer wall of the support body (1) is connected with a ramp (7). The outer wall of the support body (1) is rotatably connected with a double door (6). The outer wall of the double door (6) is slidably sleeved with a limit rod (11). The limit rod (11) is fixedly connected with a circular plate (14). The outer wall of the limit rod (11) is movably sleeved with a spring (15). An AGV unmanned transport vehicle body (10) is placed on one side of the outer wall of the support body (1). A tray (8) is installed on the top of the AGV unmanned transport vehicle body (10). A controller (9) is fixedly installed on the outer wall of the AGV unmanned transport vehicle body (10). An RSP robot scheduling system module (17) is fixedly connected to the inner wall of the AGV unmanned transport vehicle body (10). A trash can body (4) is placed on the top of the support body (1). A universal wheel (5) is rolled at the bottom of the trash can body (4). A screenings AI recognition system module (13) is fixedly connected to the outer wall of the double door (6).

2. The fully-closed grid waste residue treatment automation device according to claim 1, characterized in that: The number of auxiliary rods (3) is four, and the four auxiliary rods (3) are evenly distributed at the four corners of the outer wall of the three-sided guardrail (2).

3. The fully-closed grid waste residue treatment automation device according to claim 2, characterized in that: The inner wall of the support body (1) is provided with a circular hole (16), and the circular hole (16) is inserted into the outer wall of one end of the limiting rod (11).

4. The fully-closed grid waste residue treatment automation device according to claim 1, characterized in that: The controller (9) is electrically connected to the screenings AI recognition system module (13), and the outer wall of the slope (7) is triangular.

5. The fully-closed grid waste residue treatment automation device according to claim 4, characterized in that: One end of the spring (15) is fixed to the double door (6), and the other end of the spring (15) is fixed to the circular plate (14).

6. The fully-closed grid waste residue treatment automation device according to claim 1, characterized in that: The outer wall of the universal wheel (5) is adapted to the placement groove (12), and the controller (9) is electrically connected to the RSP robot scheduling system module (17).

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