Self-controlled modular anti-blocking wetland system
Through a modular anti-blocking wetland system, combined with monitoring units, control units and solenoid valve groups, automated control is achieved using deep learning models, solving the problems of high cost and poor adaptability in the existing technology, and achieving efficient and low-cost sewage treatment.
Patent Information
- Application Number
- CN202421948041.9
- Authority / Receiving Office
- CN · China
- Patent Type
- Utility models(China)
- Current Assignee / Owner
- Filing Date
- 2024-08-12
- Publication Date
- 2025-09-02
- Estimated Expiration
- 2034-08-12
AI Technical Summary
In the prior art, artificial wetland purification devices need to be customized with different sizes, resulting in high production, transportation and assembly costs, and cannot adapt to different application environments and low degree of automation.
The modular anti-blocking wetland system is adopted, including monitoring unit, control unit and solenoid valve group, and automated control is achieved through deep learning models, adjusting sewage flow and purification process, and adapting to different application scenarios.
Wetland sewage treatment devices in a variety of combination forms have been realized to adapt to different application environments, reduce costs, improve automation and purification efficiency.
Smart Images

Figure CN223292308U_ABST
Abstract
Description
Technical Field
[0001] The present application relates to the technical field of water environment restoration, and in particular to a self-controlled modular anti-blocking wetland system. Background Art
[0002] Water environment quality is an important factor affecting my country's social and economic development. Algal hydration caused by nutrient pollutants such as nitrogen and phosphorus is the main problem affecting the quality of water environment around cities. Artificial wetlands can be effectively used for deep purification of raw water. The currently used artificial wetland processes are different and their application scopes are also different.
[0003] In existing technologies, purification devices of different sizes need to be customized for different application environments. Large-sized purification devices have high production, transportation and assembly costs, resulting in high project investment, and cannot adapt to different application environments, and have a low degree of automation. Utility Model Content
[0004] In view of this, an object of the present invention is to provide a self-controlled modular anti-blocking wetland system.
[0005] In a first aspect, an embodiment of the present invention provides a self-controlled modular anti-blocking wetland system, comprising:
[0006] wetlands;
[0007] A modular anti-blocking device is installed in a wetland and includes sewage treatment units connected in parallel perpendicular to the flow direction of sewage. Each sewage treatment unit includes at least two sewage treatment modules connected in series along the flow direction of sewage. The inlet end of the modular anti-blocking device is connected to the sewage source through a water distribution pipe, and the outlet end is connected to the external environment through a water collection pipe.
[0008] A monitoring unit is provided on the water distribution pipe and the water collection pipe, and is used to monitor the quality parameters of the water entering the modular anti-blocking device, as well as the quality parameters of the water after being treated by the modular anti-blocking device;
[0009] a control unit connected to the monitoring unit, configured to receive water quality parameters transmitted by the monitoring unit and generate control instructions based on the water quality parameters;
[0010] The solenoid valve group includes a plurality of first solenoid valves corresponding one to one with the plurality of sewage treatment units. The first solenoid valves are connected to the control unit and are used to adjust the opening and closing angles based on control instructions to self-regulate the sewage flow entering the modular anti-blocking unit.
[0011] In combination with the first aspect, the water quality parameters include at least: pH value, DO value, COD value, TN value, ammonia nitrogen content and temperature.
[0012] In combination with the first aspect, the sewage treatment unit further includes:
[0013] The reflux water pump is installed in the reflux pipeline at the rear end of the sewage treatment module; it is used to unidirectionally guide the water purified by the sewage treatment module to the front end sewage treatment module.
[0014] In combination with the first aspect, it also includes:
[0015] The first electromagnetic flowmeter is arranged in the reflux pipeline and is used to detect the reflux water flow rate; the first electromagnetic flowmeter is connected to the control unit.
[0016] In combination with the first aspect, it also includes:
[0017] There are multiple second electromagnetic flowmeters, corresponding one to one with the multiple sewage treatment modules. The second electromagnetic flowmeters are arranged at the inlet of the sewage treatment module to detect the flow of sewage entering the sewage treatment module;
[0018] The second electromagnetic flowmeter is connected to the control unit.
[0019] In combination with the first aspect, the number of sewage treatment modules in two adjacent sewage treatment units is the same or different.
[0020] In conjunction with the first aspect, the sewage treatment unit:
[0021] The second solenoid valve is arranged on the connecting pipeline between two adjacent sewage treatment modules in the sewage treatment unit; the second solenoid valve is connected to the control unit.
[0022] In combination with the first aspect, there are two modular anti-blocking devices, and the two modular anti-blocking devices are symmetrically arranged along the center line of the water collecting pipe and the direction of sewage flow.
[0023] In combination with the first aspect, the control unit includes a pre-trained deep learning model, which is used to analyze and process the received water quality parameters and output control instructions.
[0024] In combination with the first aspect, the control unit is further connected to the return water pump.
[0025] The embodiments of the present invention bring the following beneficial effects:
[0026] The present application provides an automatic modular anti-blocking wetland system, which decomposes the entire modular anti-blocking device into modules, and forms a wetland sewage treatment device suitable for the terrain and sewage treatment needs through series and parallel connection of multiple sewage treatment modules. The combination form is diversified, so it can adapt to different application scenarios, and automatic control and adjustment are achieved through the synergy between the monitoring unit, the control unit and the solenoid valve group.
[0027] Other features and advantages of the present invention will be described in the following description, and in part will become apparent from the description, or understood by practicing the present invention. The objectives and other advantages of the present invention are realized and obtained by the structures particularly pointed out in the description, claims and drawings.
[0028] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, preferred embodiments are given below and described in detail with reference to the accompanying drawings. BRIEF DESCRIPTION OF THE DRAWINGS
[0029] In order to more clearly illustrate the specific implementation methods of the present application or the technical solutions in the prior art, the following is a brief introduction to the drawings required for use in the specific implementation methods or the description of the prior art. Obviously, the drawings described below are some implementation methods of the present application. For those skilled in the art, other drawings can be obtained based on these drawings without any creative work.
[0030] Figure 1 A schematic structural diagram of a sewage treatment device provided in an embodiment of the present application;
[0031] Figure 2 This is a schematic structural diagram of another sewage treatment device provided in an embodiment of the present application.
[0032] The reference numerals are as follows:
[0033] 1-sewage treatment unit, 2-sewage treatment module, 3-return water pump, 4-return pipeline, 5-monitoring unit, 6-water distribution pipe, 7-water collection pipe, 8-first solenoid valve. DETAILED DESCRIPTION
[0034] To make the purpose, technical solutions, and advantages of the embodiments of this application more clear, the technical solutions of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the embodiments described are only part of the embodiments of this application, not all of them. Based on the embodiments in this application, all other embodiments obtained by those skilled in the art without creative work are within the scope of protection of this application.
[0035] To facilitate understanding of this embodiment, the application scenarios and design concepts of the embodiment of this application are briefly introduced below.
[0036] In the existing technology, purification devices of different sizes need to be customized for different application environments. The production cost, transportation and assembly cost are high, resulting in high project investment and the device cannot adapt to different application environments.
[0037] Based on this, an embodiment of the present application provides a self-controlled modular anti-blocking wetland system.
[0038] Example 1
[0039] The present application provides a self-controlled modular anti-blocking wetland system, comprising: a wetland, a modular anti-blocking device, a monitoring unit, a control unit and a solenoid valve group.
[0040] Modular anti-blocking device, installed in wetland, combined with Figure 1 As shown, it includes sewage treatment units 1 connected in parallel perpendicular to the direction of sewage flow, and each sewage treatment unit 1 includes at least two sewage treatment modules 2 connected in series along the direction of sewage flow; the inlet end of the modular anti-blocking device is connected to the sewage source through a water distribution pipe 6, and the outlet end is connected to the external environment through a water collection pipe 7.
[0041] The monitoring unit 5 is provided on the water distribution pipe 6 and the water collection pipe 7, and is used to monitor the quality parameters of the water entering the modular anti-blocking device, as well as the quality parameters of the water after being processed by the modular anti-blocking device.
[0042] The control unit is connected to the monitoring unit 5 and is used to receive the water quality parameters transmitted by the monitoring unit 5 and generate control instructions based on the water quality parameters.
[0043] The solenoid valve group includes multiple first solenoid valves 8 corresponding one-to-one to multiple sewage treatment units 1. The first solenoid valves 8 are connected to the control unit and are used to adjust the opening and closing angles based on control instructions to self-regulate the sewage flow entering the modular anti-blocking unit.
[0044] In this application, the entire modular anti-blocking device is decomposed and modularized, and a wetland sewage treatment device suitable for the terrain and sewage treatment needs is formed through series and parallel connection of multiple sewage treatment modules. The combination form is diversified, so it can adapt to different application scenarios, and automatic control and adjustment are achieved through the synergy between the monitoring unit, the control unit and the solenoid valve group.
[0045] In combination with the first aspect, the water quality parameters include at least: pH value, DO value (dissolved oxygen content), COD value (volumetric load rate), TN value (total nitrogen content), ammonia nitrogen content and temperature.
[0046] In combination with the first aspect, the sewage treatment unit 1 further includes:
[0047] The reflux water pump 3 is provided in the reflux pipe 4 at the rear end of the sewage treatment module 2 and is used to guide the water purified by the sewage treatment module 2 unidirectionally to the sewage treatment module 2 at the front end.
[0048] It is understood that the rear ends of the multiple sewage treatment modules 2 arranged sequentially along the sewage flow direction, except for the first sewage treatment module 2, are connected to a return pipe 4, and the outlet end of the return pipe 4 is connected to each of the sewage treatment modules 2 in front. A return water pump 3 is set in the return pipe 4 to guide the water flow in a unidirectional direction.
[0049] For example, multiple sewage treatment modules 2 are numbered 1, 2, 3...n in sequence along the sewage flow direction, and a return pipe 4 is connected to the rear end of the sewage treatment module 2 numbered 3, and the outlet ends of the return pipe 4 are respectively connected to the inlet ends of the sewage treatment modules 2 numbered 1 and 2; a return water pump 3 is provided on the return pipe 4, which is used to unidirectionally guide the water flow after sewage treatment by the sewage treatment module 2 numbered 3 to the sewage treatment module 2 in front (i.e., the sewage treatment modules numbered 1 and 2).
[0050] The purified water is directed back to the sewage treatment module 2 in the front for further sewage purification, thereby improving the sewage purification effect.
[0051] In combination with the first aspect, the device further includes: a first electromagnetic flowmeter 5 .
[0052] A first electromagnetic flowmeter (not shown) is provided in the return line 4 for detecting the return water flow rate. The first electromagnetic flowmeter is connected to the control unit to feed back the detected return water flow rate to the control unit.
[0053] In combination with the first aspect, the device also includes: there are multiple second electromagnetic flowmeters (not shown in the figure), which correspond one-to-one to the multiple sewage treatment units 1, and the second electromagnetic flowmeter is arranged at the entrance of the sewage treatment unit 1 to detect the sewage flow entering the sewage treatment unit.
[0054] The second electromagnetic flowmeter is connected to the control unit to feed back the detected incoming sewage flow to the control unit for further adjustment.
[0055] In this embodiment, the monitoring unit 5 is a water quality sensor provided at the water inlet and water outlet of each sewage treatment unit 1, as well as in each sewage treatment module 2 in the sewage treatment unit 1; the water inlet of the sewage treatment unit 1 is connected to the sewage source through the water distribution pipe 6, and the water outlet is connected to the purified water outlet through the water collection pipe 7.
[0056] Water quality sensors are set at the water inlet and outlet of the sewage treatment unit 1 to detect the water quality parameters of the sewage entering the sewage treatment unit 1; a water quality sensor is set at the water outlet of the sewage treatment unit 1 to detect the water quality parameters of the purified water after purification treatment by the sewage treatment unit 1; a water quality sensor is set in the sewage treatment module 2 to detect the water quality parameters in the sewage treatment module 2.
[0057] The control unit includes a pre-trained deep learning model, which is used to analyze and process received water quality parameters and output control instructions.
[0058] It can be understood that the control unit obtains the water quality parameters of the sewage entering the sewage treatment unit 1 and the water quality parameters after purification of the sewage treatment unit 1. According to these two water quality parameters, the purification effect of the sewage treatment unit 1 can be calculated. When the purification effect does not meet the standard, the data processing capability of the deep learning model is calculated to achieve the control strategy corresponding to the preset purification index, and then generate and output control instructions to control the rotation of the first solenoid valve 8 in the solenoid valve group to adjust the sewage flow entering the sewage treatment unit 1, thereby realizing automatic control of the sewage treatment efficiency.
[0059] Similarly, the sewage treatment efficiency of each sewage treatment module 2 can be calculated based on the change in the water quality parameter of each sewage treatment module 2 per unit time.
[0060] In combination with the first aspect, it further includes: a second solenoid valve (not shown in the figure), which is arranged on the connecting pipeline between two adjacent sewage treatment modules 2 in the sewage treatment unit; the second solenoid valve is connected to the control unit.
[0061] It can be understood that by controlling the second solenoid valve through the control unit, the opening and closing angle of the second solenoid valve is adjusted to adjust the flow time of sewage in the front sewage treatment module 2 and the sewage flow rate and flow to the rear sewage treatment module 2.
[0062] In combination with the first aspect, the sewage treatment module 2 is filled with aquatic plants and / or fillers.
[0063] Each sewage treatment module 2 is filled with aquatic plants and / or fillers to purify sewage.
[0064] In combination with the first aspect, the number of sewage treatment modules in two adjacent sewage treatment units 1 is the same or different.
[0065] That is, the lengths of the sewage treatment units 1 along the sewage flow direction may be the same or different, and the specific arrangement needs to be reasonably planned according to the topography of the wetland.
[0066] In combination with the first aspect, there are two wetland sewage treatment devices, and the two modular anti-blocking devices are symmetrically arranged along the center line of the water collecting pipe 7 and the direction of sewage flow. Figure 2 As shown, wetland sewage treatment devices on two wetlands can be connected at the same time and share a water collecting pipe 7 to reduce the occupied area, reduce the number of applied components, and reduce costs.
[0067] In combination with the first aspect, the control unit is also connected to the return water pump 3, and controls the start or stop of the return water pump 3 to open or block the return pipe 4. Furthermore, the operating power of the return water pump 3 can be controlled to guide the water back to a target sewage treatment module 2 in front.
[0068] The deep learning model can be a generative large model commonly used in the prior art. The deep learning model is continuously trained based on theoretical design data to obtain a deep learning model that meets the requirements of adjustment precision and accuracy. In the actual application process, the detected water quality parameters are transmitted to the control unit. The internal generative large model generates a control strategy based on the water quality parameters and the preset purification target (including but not limited to the opening and closing angles of each first solenoid valve 8, opening or closing the return water pump 3, the target water flow rate entering each sewage treatment module 2, and the target content of the filler in each sewage treatment module 2), and converts and generates control instructions and outputs them to control the working status of the first solenoid valve 8, the second solenoid valve, and the return water pump 3, thereby adjusting the overall sewage removal efficiency.
[0069] Furthermore, this deep learning model can also be used for artificial intelligence models such as ChatGPT (Chat Generative Pre-trained Transformer), Gemini, and Kimi, to perform text, voice, or image recognition through human-computer interaction, and determine target purification indicators, trusted priority control strategies, and other information based on industry design standards to fine-tune the sewage treatment process. It can also combine deep learning capabilities to correct and optimize control strategies based on feedback information, thereby improving sewage treatment efficiency.
[0070] Those skilled in the art will clearly understand that, for the convenience and brevity of description, the specific working processes of the above-described systems and devices can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.
[0071] In addition, in the description of the embodiments of this application, unless otherwise specified or limited, the terms "installed," "connected," and "connected" should be understood in a broad sense. For example, they can refer to fixed connections, detachable connections, or integral connections; they can refer to mechanical connections or electrical connections; they can refer to direct connections or indirect connections through an intermediate medium; and they can refer to internal connections between two components. Those skilled in the art will understand the specific meanings of the above terms in this application based on the specific circumstances.
[0072] If the functions are implemented in the form of software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application, or the part that contributes to the prior art or the part of the technical solution, can be embodied in the form of a software product. The computer software product is stored in a storage medium and includes several instructions for enabling a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the method described in each embodiment of the present application. The aforementioned storage medium includes various media that can store program codes, such as a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk.
[0073] In the description of this application, it should be noted that the terms "center," "upper," "lower," "left," "right," "vertical," "horizontal," "inner," and "outer," etc., indicating orientations or positional relationships, are based on the orientations or positional relationships shown in the accompanying drawings and are intended solely to facilitate the description of this application and simplify the description. They do not indicate or imply that the devices or components referred to must have a specific orientation, be constructed, or operate in a specific orientation. Therefore, they should not be construed as limitations on this application. Furthermore, the terms "first," "second," and "third" are used for descriptive purposes only and should not be construed as indicating or implying relative importance.
[0074] Finally, it should be noted that the above embodiments are only specific implementation methods of the present application, which are used to illustrate the technical solutions of the present application, rather than to limit them. The scope of protection of the present application is not limited thereto. Although the present application has been described in detail with reference to the above embodiments, those skilled in the art should understand that any person skilled in the art who is familiar with the technical field can still modify the technical solutions described in the above embodiments within the technical scope disclosed in the present application, or make equivalent replacements for some of the technical features therein; and these modifications, changes or replacements do not deviate from the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present application, and should all be included in the scope of protection of the present application. Therefore, the scope of protection of the present application should be based on the scope of protection of the claims.
Claims
1. A self-controlled modular anti-blocking wetland system, characterized in that: include: wetlands; A modular anti-blocking device is provided in the wetland and includes sewage treatment units connected in parallel perpendicular to the direction of sewage flow, each of the sewage treatment units including at least two sewage treatment modules connected in series along the direction of sewage flow; the inlet end of the modular anti-blocking device is connected to the sewage source through a water distribution pipe, and the outlet end is connected to the external environment through a water collection pipe; A monitoring unit, provided in the water distribution pipe and the water collection pipe, for monitoring the quality parameters of water entering the modular anti-blocking device, as well as the quality parameters of water after being treated by the modular anti-blocking device; a control unit connected to the monitoring unit, configured to receive the water quality parameters transmitted by the monitoring unit and generate a control instruction based on the water quality parameters; The solenoid valve group includes a plurality of first solenoid valves corresponding one to one with the plurality of sewage treatment units. The first solenoid valves are connected to the control unit and are used to adjust the opening and closing angles based on the control instructions to self-regulate the sewage flow into the modular anti-blocking unit.
2. The system according to claim 1, wherein: The water quality parameters include at least: pH value, DO value, COD value, TN value, ammonia nitrogen content and temperature.
3. The system according to claim 1, wherein: The sewage treatment unit further comprises: A reflux water pump is provided in the reflux pipeline at the rear end of the sewage treatment module; and is used to guide the water purified by the sewage treatment module in a unidirectional manner to the front end sewage treatment module.
4. The system according to claim 3, characterized in that Also includes: The first electromagnetic flowmeter is provided in the reflux pipeline and is used to detect the reflux water flow rate; the first electromagnetic flowmeter is connected to the control unit.
5. The system according to claim 2, wherein: Also includes: There are multiple second electromagnetic flowmeters, corresponding one to one with the multiple sewage treatment modules, and the second electromagnetic flowmeters are arranged at the inlet of the sewage treatment module to detect the flow of sewage entering the sewage treatment module; The second electromagnetic flowmeter is connected to the control unit.
6. The system according to claim 1, wherein: The number of the sewage treatment modules in two adjacent sewage treatment units is the same or different.
7. The system according to claim 1, wherein: The sewage treatment unit: The second solenoid valve is provided on the connecting pipeline between two adjacent sewage treatment modules in the sewage treatment unit; the second solenoid valve is connected to the control unit.
8. The system according to claim 3, wherein: There are two modular anti-blocking devices, and the two modular anti-blocking devices are symmetrically arranged along the center line of the water collecting pipe and the direction of sewage flow.
9. The system according to claim 1, wherein: The control unit includes a pre-trained deep learning model, which is used to analyze and process received water quality parameters and output control instructions.
10. The system according to claim 8, wherein: The control unit is also connected to the reflux water pump.