Optimal control method for total nitrogen removal and anaerobic ammonia oxidizing bacteria enrichment in constructed wetland

Abstract

The invention relates to an optimal control method for total nitrogen removal and anaerobic ammonia oxidizing bacteria enrichment in a constructed wetland, which comprises the following steps: S1, selecting a constructed wetland control factor, forming an experimental system by using a central coincidence design method, introducing to-be-treated sewage into the constructed wetland, monitoring the operation of the constructed wetland, and controlling the total nitrogen removal and anaerobic ammonia oxidizing bacteria enrichment in the constructed wetland; collecting data of total nitrogen removal and relative abundance of bacteria; s2, determining a model method suitable for data fitting by using variance analysis, and respectively constructing a prediction model of total nitrogen removal efficiency and a prediction model of anaerobic ammonia oxidizing bacteria relative abundance according to the model method; and S3, predicting the total nitrogen removal efficiency of the constructed wetland and the relative abundance of anaerobic ammonia oxidizing bacteria to realize optimal control of the operation and maintenance management of the constructed wetland. According to the optimization control method provided by the invention, the relative abundance of the anaerobic ammonia oxidizing bacteria and the total nitrogen removal efficiency of the constructed wetland can be predicted, and the operation and maintenance management of the constructed wetland can be guided.

Description

Technical Field

[0001] The invention relates to the technical field of artificial wetland sewage treatment, in particular to an optimization control method for total nitrogen removal and anaerobic ammonia oxidizing bacteria enrichment in an artificial wetland. Background Art

[0002] As an eco-friendly sewage treatment method, artificial wetland technology has been widely used in the sewage treatment field in recent years. Vertical subsurface flow artificial wetlands and horizontal subsurface flow artificial wetlands are common types of artificial wetlands, which remove pollutants in sewage through the synergistic effect of plants, media and microorganisms. However, conventional artificial wetlands have certain limitations in the removal efficiency of total nitrogen (TN), especially in the treatment of high nitrogen load sewage. Due to the limitation of carbon sources required for the denitrification process, the total nitrogen removal efficiency of artificial wetlands is often difficult to reach the ideal level. Total nitrogen removal depends not only on different nitrogen transformation pathways (such as nitrification, denitrification, etc.), but also on the activity and abundance of specific microbial communities, among which anaerobic ammonia oxidizing bacteria play a key role in nitrogen removal.

[0003] Anaerobic ammonium oxidation (Anammox) is an emerging nitrogen removal technology that can directly convert nitrogen into nitrogen gas through the synergistic effect of ammonium nitrogen (AN) and nitrite nitrogen (NO2-N) under anoxic conditions, thereby significantly improving the nitrogen removal efficiency.

[0004] In the operation of artificial wetlands, there are many factors that affect the abundance and activity of Anammox bacteria, which are interrelated and complex. In the existing technology, it is often difficult to take into account the comprehensive impact of different operating conditions on the removal efficiency of microorganisms and pollutants. Especially when treating high-nitrogen concentration sewage, how to promote the growth of Anammox bacteria while improving the total nitrogen removal efficiency of artificial wetlands is still a technical problem that needs to be solved urgently. Summary of the invention

[0005] In order to solve the above problems, the present invention proposes a method for operating an artificial wetland based on key parameter optimization control, which uses the synergistic effect of water level control height, total organic carbon (TOC) and total nitrogen (TN) concentration ratio (TOC / TN ratio), and hydraulic load to adjust the biochemical environment in the wetland, thereby achieving a simultaneous increase in the abundance of anaerobic ammonia-oxidizing bacteria and total nitrogen removal efficiency. Through the analysis and optimization of the model, the present invention can effectively predict and guide the actual operation of the artificial wetland, and improve the stability and treatment effect of the sewage treatment system.

[0006] The specific plan is as follows:

[0007] An optimization control method for total nitrogen removal and anaerobic ammonium oxidizing bacteria enrichment in a constructed wetland comprises the following steps:

[0008] S1. Selecting control factors of artificial wetlands, forming an experimental system using the central coincidence design method, introducing sewage to be treated into the artificial wetlands, monitoring the operation of the artificial wetlands, and collecting data on total nitrogen removal and relative abundance of anaerobic ammonium-oxidizing bacteria;

[0009] S2. According to the data collected in S1, a model method suitable for data fitting is determined by variance analysis, and then a prediction model of total nitrogen removal efficiency and a prediction model of relative abundance of anaerobic ammonia-oxidizing bacteria are respectively constructed according to the model method;

[0010] S3. Predict the total nitrogen removal efficiency and the relative abundance of anaerobic ammonium oxidizing bacteria of the artificial wetland using the prediction model of the total nitrogen removal efficiency and / or the prediction model of the relative abundance of anaerobic ammonium oxidizing bacteria obtained in S2, compare the prediction results with the control targets, and optimize the operation and maintenance of the artificial wetland based on the comparison results.

[0011] Furthermore, the artificial wetland is a vertical subsurface flow artificial wetland or a horizontal subsurface flow artificial wetland with downward water inflow, and the water level control height in the artificial wetland is set between 60-90 cm.

[0012] Furthermore, the sewage to be treated has the following characteristics: the concentration ratio of total organic carbon to total nitrogen is 20%-70%, the total nitrogen concentration range is 300-800 mg / L, the concentration ratio of ammonium nitrogen to nitrite nitrogen in the total nitrogen is between 1:0.8-1:2; the nitrate nitrogen concentration is below 50 mg / L; the hydraulic load should be 2-10 cm / d.

[0013] Furthermore, the artificial wetland control factors described in S1 include at least two of the concentration ratio of total organic carbon to total nitrogen, the concentration ratio of ammonium nitrogen to nitrite nitrogen in total nitrogen, and hydraulic load.

[0014] Furthermore, the 2FI model is used in S2 to construct the prediction model of the total nitrogen removal efficiency, and the total nitrogen removal efficiency of the artificial wetland is % =

[0015] 12.07-0.08*A+0.57*B+6.52*C+0.00218*A*B+0.02*A*C-0.13*B*C,

[0016] Wherein A is the water level control height in the artificial wetland, in cm; B is the concentration ratio of total organic carbon to total nitrogen, in %; C is the hydraulic load, in cm / d.

[0017] Furthermore, a linear model is used in S2 to construct a prediction model for the relative abundance of anaerobic ammonium-oxidizing bacteria, anaerobic ammonium-oxidizing bacteria relative abundance % = 8.6 + 0.14*A - 0.18*B + 1.57*C,

[0018] Wherein A is the water level control height in the artificial wetland, in cm; B is the concentration ratio of total organic carbon to total nitrogen, in %; C is the hydraulic load, in cm / d.

[0019] Furthermore, in S3, the prediction model of the total nitrogen removal efficiency and the prediction model of the relative abundance of anaerobic ammonium oxidizing bacteria obtained in S2 are selected by a hill climbing algorithm to determine a relatively optimal combination of conditions, thereby achieving a synchronous optimization level of the relative abundance of anaerobic ammonium oxidizing bacteria and the total nitrogen removal efficiency.

[0020] Furthermore, when the concentration ratio of total organic carbon to total nitrogen in the artificial wetland is 20-30%, the water level control height in the artificial wetland is set at 80-90 cm, and the hydraulic load is controlled at 9-10 cm / d, so as to achieve the synchronous optimization level of the relative abundance of anaerobic ammonia-oxidizing bacteria and the total nitrogen removal efficiency.

[0021] The present invention also protects an optimization control terminal device for total nitrogen removal and anaerobic ammonia-oxidizing bacteria enrichment in an artificial wetland, comprising a processor, a memory, and a computer program stored in the memory and running on the processor, and the processor implements the steps of the method when executing the computer program.

[0022] The present invention also protects a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps of the method are implemented.

[0023] Beneficial effects: The optimization control method for total nitrogen removal and anaerobic ammonium oxidizing bacteria enrichment in artificial wetlands provided by the present invention can predict the relative abundance of anaerobic ammonium oxidizing bacteria and the total nitrogen removal efficiency of artificial wetlands, and guide the operation and maintenance of artificial wetlands.

[0024] The present invention promotes the growth and activity of anaerobic ammonia-oxidizing bacteria by optimizing and regulating key parameters such as the water level in the wetland, the ratio of total organic carbon (TOC) to total nitrogen (TN) in sewage, and hydraulic load, thereby improving the removal efficiency of total nitrogen in sewage by the artificial wetland system and achieving efficient purification of sewage.

[0025] Furthermore, based on the analysis of the prediction model, the water level control height in the artificial wetland was set at 80-90cm and the hydraulic load was controlled at 9-10cm / d, so that the relative abundance of anaerobic ammonia-oxidizing bacteria and the total nitrogen removal efficiency of the artificial wetland reached a synchronously high level. BRIEF DESCRIPTION OF THE DRAWINGS

[0026] In order to more clearly illustrate the technical solution of the present invention, the accompanying drawings will be briefly introduced below. Obviously, the accompanying drawings in the following description only relate to some embodiments of the present invention, but are not intended to limit the present invention.

[0027] Figure 1 It is a flow chart of an optimization control method for total nitrogen removal and anaerobic ammonia oxidizing bacteria enrichment in a constructed wetland provided by one embodiment of the present invention. DETAILED DESCRIPTION

[0028] The preferred embodiments of the present invention will be described in more detail below. Although the preferred embodiments of the present invention are described below, it should be understood that the present invention can be implemented in various forms and should not be limited by the embodiments described here. If no specific techniques or conditions are specified in the examples, the techniques or conditions described in the literature in this field or the product instructions are used. The test methods used below include:

[0029] Embodiment 1

[0030] An optimized control method for total nitrogen removal and anaerobic ammonium oxidizing bacteria enrichment in a constructed wetland, such as Figure 1 As shown, the following steps are included:

[0031] S1. Select control factors of artificial wetlands, use the central coincidence design method to form an experimental system, introduce the sewage to be treated into the artificial wetlands, monitor the operation of the artificial wetlands, and collect data on total nitrogen removal and relative abundance of anaerobic ammonia-oxidizing bacteria.

[0032] In this embodiment, the artificial wetland selects a vertical subsurface flow artificial wetland or a horizontal subsurface flow artificial wetland with downward water inlet. This type of artificial wetland has good applicability to the method of the present invention. The water level control height in the artificial wetland is set between 60-90cm. The treated sewage must have the following characteristics: the concentration ratio (TOC / TN) of total organic carbon (TOC) to total nitrogen (TN) is in the range of 20%-70%, the total nitrogen concentration range should be 300-800mg / L, the concentration ratio of ammonium nitrogen (AN) to nitrite nitrogen (NO2-N) in the total nitrogen should be between 1:0.8-1:2; the concentration of nitrate nitrogen (NO3-N) should be controlled below 50mg / L. The hydraulic load should be controlled at 2-10cm / d.

[0033] In this embodiment, the water level control height in the artificial wetland, the concentration ratio of total organic carbon (TOC) to total nitrogen (TN), the concentration ratio of ammonium nitrogen (AN) to nitrite nitrogen (NO2-N) in the total nitrogen, and the hydraulic load are used as control factors. The central coincidence design method is used to form 30 groups of experimental systems. Through long-term operation monitoring, data on total nitrogen removal rate and relative bacterial abundance are collected.

[0034] The inventors selected the above control factors based on the following considerations:

[0035] 1. After the artificial wetland is built, there are very limited ways to optimize and control it without destroying the reconstruction. Currently, the commonly used methods are to adjust the hydraulic load, adjust the water level control height in the wetland, adjust the reflow ratio, and adjust the composition information of the influent. Among them, the main function of adjusting the reflow ratio is to enhance denitrification. The inventor's previous research has shown that this method is not conducive to the enrichment of anaerobic ammonia-oxidizing bacteria.

[0036] 2. The concentration ratio of total organic carbon (TOC) to total nitrogen (TN), ammonium nitrogen (AN) and nitrite nitrogen (NO2-N) in total nitrogen are used as setting factors, and the following points are mainly considered: First, it is a constraint on the rationalization of the treatment target to ensure the applicability of the model. For example, if TOC / TN is arbitrarily set to 100:1, then there is actually no need to use anaerobic ammonium oxidation artificial wetlands for treatment. Anaerobic bioreactors are more suitable, and the results given by the model will also be greatly deviated.

[0037] Given the high accuracy of model prediction, more control scenarios (i.e. other control factors) can be generated and then predicted using the model. The prediction results can then be combined with the control conditions to optimize the control. It should be noted that the process control of artificial wetlands is a systematic and holistic control system. It is not feasible to control only one factor or condition, and stable control results cannot be obtained.

[0038] In this embodiment, the total nitrogen removal rate is obtained by the following method:

[0039] The total nitrogen concentration data was measured by alkaline potassium persulfate oxidation-ultraviolet spectrophotometry. Total nitrogen removal rate = (influent total nitrogen concentration - effluent total nitrogen concentration) / influent total nitrogen concentration.

[0040] The relative abundance of bacteria mainly refers to the relative abundance of anaerobic ammonia-oxidizing bacteria, which can be obtained as follows:

[0041] The number of operational taxonomic units (OTUs) of various anaerobic ammonium-oxidizing bacteria and the number of total bacterial OTUs were measured by 16S amplicon sequencing or metagenomic sequencing. The relative abundance of anaerobic ammonium-oxidizing bacteria = X / Y, where X is the sum of the OTU numbers of various anaerobic ammonium-oxidizing bacteria and Y is the total bacterial OTU number.

[0042] S2. According to the data collected in S1, a model method suitable for data fitting is determined by variance analysis, and then a prediction model for total nitrogen removal efficiency and a prediction model for relative abundance of anaerobic ammonia-oxidizing bacteria are constructed according to the model method.

[0043] In this embodiment, the conditional values ​​of the control factors and the artificial wetlands under certain conditional values ​​are collected, and then the variance analysis is used to determine the model method suitable for data fitting. There are many methods for building models based on data, such as random forests, support vector machines, neural networks, etc., all of which can establish prediction models.

[0044] According to the variance analysis results and whether the model has overfitting phenomenon, this embodiment uses a linear model to construct a prediction model for the relative abundance of anaerobic ammonium-oxidizing bacteria as follows:

[0045] Relative abundance of anaerobic ammonium-oxidizing bacteria (%) = 8.6 + 0.14*A - 0.18*B + 1.57*C,

[0046] Where A is the water level control height in the wetland, in cm; B is the TOC / TN value, in %; C is the hydraulic load, in cm / d.

[0047] According to the results of variance analysis, this embodiment uses the 2FI model to construct a prediction model for the total nitrogen removal efficiency of artificial wetlands. The 2FI model is the abbreviation of two Factor Interactive, that is, the two-factor interaction model, which is a common data model. The model focuses on the interaction between two factors, rather than considering the influence of the two factors separately. In statistics and data analysis, the two-factor interaction model is used to study how two variables jointly affect one or more outcome variables, rather than just considering their respective influences on the results separately. This model can reveal the interaction between the two variables and the response trend of the dependent variable, breaking the limitations of a single variable on the interpretation of the results. The two-factor interaction model has a wide range of applications, including but not limited to social sciences, medical research, marketing and other fields. For example, in medical research, two drugs or treatment plans may each have a therapeutic effect on a certain disease, but when they are used at the same time, they may produce different effects, which may be greater than, equal to or less than the sum of the effects of the two when used alone. The two-factor interaction model can more accurately evaluate the combined effect of the two treatment methods, thereby providing a more effective treatment plan.

[0048] In addition, the two-factor interaction model can also be used to explore whether the interaction between variables produces a synergistic or antagonistic effect. Synergistic effect means that the effect of two factors acting together is greater than the sum of their individual effects, while antagonism means that the effect of two factors acting together is less than the sum of their individual effects. This analysis helps to better understand the relationship between variables and make more accurate predictions and decisions.

[0049] The prediction model of total nitrogen removal efficiency of artificial wetlands constructed using the 2FI model is as follows:

[0050] Total nitrogen removal efficiency of artificial wetland (%) = 12.07-0.08*A+0.57*B+6.52*C+0.00218*A*B+0.02*A*C-0.13*B*C,

[0051] Where A is the water level control height in the wetland, in cm; B is the TOC / TN value, in %; C is the hydraulic load, in cm / d.

[0052] S3. Predict the total nitrogen removal efficiency and the relative abundance of anaerobic ammonium oxidizing bacteria of the artificial wetland using the prediction model of the total nitrogen removal efficiency and / or the prediction model of the relative abundance of anaerobic ammonium oxidizing bacteria obtained in S2, compare the prediction results with the control targets, and optimize the operation and maintenance of the artificial wetland based on the comparison results.

[0053] In this embodiment, three groups of test analyses with different control factor condition values ​​were conducted using actual artificial wetlands, and the results are shown in Table 1:

[0054] Table 1 Model prediction and measured data

[0055]

[0056] It can be seen from Table 1 that the prediction model of the present invention has a good effect and can reflect the response change trend of the relative abundance of anaerobic ammonium oxidizing bacteria and the total nitrogen removal efficiency of the constructed wetland.

[0057] Therefore, by adopting the method of the present invention, the target value of total nitrogen removal efficiency can be set, and then the target can be achieved by controlling the conditional value of the control factor. The total nitrogen removal efficiency and the relative abundance of anaerobic ammonia-oxidizing bacteria can also be predicted by the conditional value of the control factor monitored in real time, thereby guiding the operation and maintenance of artificial wetlands.

[0058] In order to achieve the optimal control level, the hill climbing algorithm is used to select the best combination of conditions based on the above two sets of prediction models to determine the relatively optimal combination of conditions, so that the relative abundance of anaerobic ammonia-oxidizing bacteria and the total nitrogen removal efficiency of the artificial wetland can reach a synchronously high level.

[0059] Specifically, for low-carbon and high-nitrogen sewage (i.e., TOC / TN=20-30%), the water level in the wetland is controlled at 80-90cm and the hydraulic load is controlled at 9-10cm / d, which can achieve a relatively high level of relative abundance of anaerobic ammonium-oxidizing bacteria and total nitrogen removal efficiency of artificial wetlands. This type of sewage is selected because it can provide very few carbon source electron donors for denitrifying bacteria, and it is difficult to solve the problem of total nitrogen removal through the denitrification process alone, and the assistance of the anaerobic ammonium oxidation process is urgently needed.

[0060] In order to verify whether setting the water level control height at 80-90cm and the hydraulic load at 9-10cm / d in the wetland is beneficial to the removal of total nitrogen and the enrichment of target bacteria, a verification analysis was carried out and the results are shown in Table 2 below.

[0061] Table 2 Verification data table

[0062]

[0063] As can be seen from Table 2, when the water level control height in the artificial wetland is set at 80-90cm and the hydraulic load is controlled at 9-10cm / d, the measured total nitrogen removal rate and relative abundance of anaerobic ammonium oxidizing bacteria are significantly higher than those at lower water levels and lower hydraulic loads, which proves that setting the water level control height in the artificial wetland at 80-90cm and the hydraulic load at 9-10cm / d is indeed beneficial to the removal of total nitrogen and the enrichment of anaerobic ammonium oxidizing bacteria.

[0064] Embodiment 2:

[0065] The present invention also provides an optimization control terminal device for total nitrogen removal and anaerobic ammonia-oxidizing bacteria enrichment in artificial wetlands, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps in the above-mentioned method embodiment of embodiment 1 of the present invention when executing the computer program.

[0066] Further, as an executable scheme, the optimization control terminal device for total nitrogen removal and anaerobic ammonia oxidizing bacteria enrichment in the artificial wetland can be a computing device such as a desktop computer, a notebook, a PDA and a cloud server. The optimization control terminal device for total nitrogen removal and anaerobic ammonia oxidizing bacteria enrichment in the artificial wetland may include, but is not limited to, a processor and a memory. Those skilled in the art can understand that the composition structure of the optimization control terminal device for total nitrogen removal and anaerobic ammonia oxidizing bacteria enrichment in the above-mentioned artificial wetland is only an example of the optimization control terminal device for total nitrogen removal and anaerobic ammonia oxidizing bacteria enrichment in the artificial wetland, and does not constitute a limitation on the optimization control terminal device for total nitrogen removal and anaerobic ammonia oxidizing bacteria enrichment in the artificial wetland, and may include more or less components than the above, or a combination of certain components, or different components. For example, the optimization control terminal device for total nitrogen removal and anaerobic ammonia oxidizing bacteria enrichment in the artificial wetland may also include input and output devices, network access devices, buses, etc., and the embodiments of the present invention do not limit this.

[0067] Further, as an executable solution, the processor may be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, etc. The general-purpose processor may be a microprocessor or any conventional processor, etc. The processor is the control center of the optimization control terminal device for total nitrogen removal and anaerobic ammonia oxidizing bacteria enrichment in the artificial wetland, and various interfaces and lines are used to connect the various parts of the optimization control terminal device for total nitrogen removal and anaerobic ammonia oxidizing bacteria enrichment in the entire artificial wetland.

[0068] The memory can be used to store the computer program and / or module, and the processor realizes various functions of the optimization control terminal device for total nitrogen removal and anaerobic ammonia oxidizing bacteria enrichment in the artificial wetland by running or executing the computer program and / or module stored in the memory, and calling the data stored in the memory. The memory can mainly include a program storage area and a data storage area, wherein the program storage area can store an operating system and at least one application required for a function; the data storage area can store data created according to the use of the mobile phone, etc. In addition, the memory can include a high-speed random access memory, and can also include a non-volatile memory, such as a hard disk, a memory, a plug-in hard disk, a smart memory card (Smart Media Card, SMC), a secure digital (Secure Digital, SD) card, a flash card (Flash Card), at least one disk storage device, a flash memory device, or other volatile solid-state storage devices.

[0069] The present invention also provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps of the above method in the embodiment of the present invention are implemented.

[0070] If the module / unit integrated in the optimization control terminal device for total nitrogen removal and anaerobic ammonia oxidizing bacteria enrichment in the artificial wetland is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the present invention implements all or part of the processes in the above-mentioned embodiment method, and can also be completed by instructing the relevant hardware through a computer program. The computer program can be stored in a computer-readable storage medium, and the computer program can implement the steps of the above-mentioned various method embodiments when executed by the processor. Among them, the computer program includes computer program code, and the computer program code can be in source code form, object code form, executable file or some intermediate form. The computer-readable medium may include: any entity or device that can carry the computer program code, recording medium, U disk, mobile hard disk, disk, optical disk, computer memory, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory) and software distribution medium, etc.

[0071] The preferred embodiments of the present invention are described in detail above. However, the present invention is not limited to the specific details in the above embodiments. Within the technical concept of the present invention, a variety of simple modifications can be made to the technical solution of the present invention, and these simple modifications all belong to the protection scope of the present invention.

[0072] It should also be noted that the various specific technical features described in the above specific embodiments can be combined in any suitable manner without contradiction. In order to avoid unnecessary repetition, the present invention will not further describe various possible combinations.

[0073] In addition, various embodiments of the present invention may be arbitrarily combined, and as long as they do not violate the concept of the present invention, they should also be regarded as the contents disclosed by the present invention.

Claims

1. An optimization control method for total nitrogen removal and anaerobic ammonium oxidizing bacteria enrichment in artificial wetlands, characterized in that: The following steps are involved: S1. Selecting control factors of artificial wetlands, forming an experimental system using the central coincidence design method, introducing sewage to be treated into the artificial wetlands, monitoring the operation of the artificial wetlands, and collecting data on total nitrogen removal and relative abundance of anaerobic ammonium-oxidizing bacteria; S2. According to the data collected in S1, a model method suitable for data fitting is determined by variance analysis, and then a prediction model of total nitrogen removal efficiency and a prediction model of relative abundance of anaerobic ammonia-oxidizing bacteria are respectively constructed according to the model method; S3. Predict the total nitrogen removal efficiency and the relative abundance of anaerobic ammonium oxidizing bacteria of the artificial wetland using the prediction model of the total nitrogen removal efficiency and / or the prediction model of the relative abundance of anaerobic ammonium oxidizing bacteria obtained in S2, compare the prediction results with the control targets, and optimize the operation and maintenance of the artificial wetland based on the comparison results.

2. The optimization control method for total nitrogen removal and anaerobic ammonium oxidizing bacteria enrichment in artificial wetlands according to claim 1, characterized in that: The artificial wetland is a vertical subsurface flow artificial wetland or a horizontal subsurface flow artificial wetland with downward water inflow, and the water level control height in the artificial wetland is set between 60-90 cm.

3. The optimization control method for total nitrogen removal and anaerobic ammonium oxidizing bacteria enrichment in artificial wetlands according to claim 2, characterized in that: The sewage to be treated has the following characteristics: the concentration ratio of total organic carbon to total nitrogen is 20%-70%, the total nitrogen concentration range is 300-800 mg / L, the concentration ratio of ammonium nitrogen to nitrite nitrogen in the total nitrogen is between 1:0.8-1:2; the nitrate nitrogen concentration is below 50 mg / L; and the hydraulic load should be 2-10 cm / d.

4. The method for optimizing the removal of total nitrogen and the enrichment of anaerobic ammonium-oxidizing bacteria in a constructed wetland according to any one of claims 1 to 3, characterized in that: The artificial wetland control factors described in S1 include at least two of the concentration ratio of total organic carbon to total nitrogen, the concentration ratio of ammonium nitrogen to nitrite nitrogen in total nitrogen, and hydraulic load.

5. The optimization control method for total nitrogen removal and anaerobic ammonium oxidizing bacteria enrichment in artificial wetlands according to claim 4, characterized in that: In S2, the 2FI model is used to construct the prediction model of the total nitrogen removal efficiency. The total nitrogen removal efficiency of the artificial wetland is % = 12.07-0.08*A+0.57*B+6.52*C+0.00218*A*B+0.02*A*C-0.13*B*C, Wherein A is the water level control height in the artificial wetland, in cm; B is the concentration ratio of total organic carbon to total nitrogen, in %; C is the hydraulic load, in cm / d.

6. The optimization control method for total nitrogen removal and anaerobic ammonium oxidizing bacteria enrichment in artificial wetlands according to claim 4, characterized in that: In S2, a linear model is used to construct a prediction model for the relative abundance of anaerobic ammonium-oxidizing bacteria, where the relative abundance of anaerobic ammonium-oxidizing bacteria % = 8.6 + 0.14*A - 0.18*B + 1.57*C, Wherein A is the water level control height in the artificial wetland, in cm; B is the concentration ratio of total organic carbon to total nitrogen, in %; C is the hydraulic load, in cm / d.

7. The method for optimizing the control of total nitrogen removal and anaerobic ammonium oxidizing bacteria enrichment in a constructed wetland according to claim 5 or 6, characterized in that: In S3, the prediction model of the total nitrogen removal efficiency and the prediction model of the relative abundance of anaerobic ammonium oxidizing bacteria obtained in S2 are selected by a hill climbing algorithm to determine a relatively optimal combination of conditions, thereby achieving a synchronous optimization level of the relative abundance of anaerobic ammonium oxidizing bacteria and the total nitrogen removal efficiency.

8. The method for optimizing the control of total nitrogen removal and anaerobic ammonium oxidizing bacteria enrichment in a constructed wetland according to claim 7, characterized in that: When the concentration ratio of total organic carbon to total nitrogen in the artificial wetland is 20-30%, the water level control height in the artificial wetland is set at 80-90 cm, and the hydraulic load is controlled at 9-10 cm / d, so as to achieve synchronous optimization levels of relative abundance of anaerobic ammonia-oxidizing bacteria and total nitrogen removal efficiency.

9. An optimized control terminal device for total nitrogen removal and anaerobic ammonium oxidizing bacteria enrichment in artificial wetlands, characterized by: The method comprises a processor, a memory and a computer program stored in the memory and running on the processor, wherein the processor implements the steps of the method according to any one of claims 1 to 8 when executing the computer program.

10. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 8 are implemented.

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