An automatic control system for anaerobic ammonium oxidation process

Abstract

The present invention proposes an automatic control system for an anaerobic ammonium oxidation process, including: a denitrification contribution rate calculation subsystem, which is used to determine the denitrification contribution rate of different process denitrification paths; a mathematical model subsystem, which is used to establish a mathematical model between operating parameters and the denitrification contribution rate of the denitrification path of the exogenous anaerobic ammonium oxidation process; an operating condition optimization subsystem, which is used to obtain the control factors of dissolved oxygen, pH, and temperature, and at the same time, take energy consumption reduction measures to control membrane cleaning data and obtain sludge retention data; a mechanism analysis subsystem, which is used for the mechanism analysis of the process denitrification path of the exogenous anaerobic ammonium oxidation; a sludge yield research subsystem; a result analysis subsystem, which is used to determine the operation mode and the best combination mode of the exogenous anaerobic ammonium oxidation process; an energy saving and carbon fixation research subsystem, which is used for the energy saving and carbon fixation research of the exogenous anaerobic ammonium oxidation process. The present invention solves the problem that the parameter values ​​and process flow of the existing exogenous anaerobic ammonium oxidation process are not entirely reasonable.

Description

Technical Field

[0001] The invention relates to the field of anaerobic ammonium oxidation technology, and in particular to an automatic control system for the anaerobic ammonium oxidation technology. Background Art

[0002] At present, eutrophication of water bodies has become the norm. For the treatment of pollutant nitrogen, nitrification-denitrification is generally used to complete nitrogen removal, but continuous aeration is required in this process, which requires a lot of energy and consumes organic carbon sources, thus resulting in higher treatment costs and may also cause secondary pollution. Anaerobic ammonium oxidation technology is a new technology for energy saving and consumption reduction of sewage. This technology can reduce the demand for carbon sources for sewage treatment, save aeration energy consumption, reduce sludge production, and improve efficiency while maintaining low costs.

[0003] Anaerobic ammonia-oxidizing bacteria (AnAOB) are a type of autotrophic microorganism that does not require organic carbon. Under anaerobic conditions, they can convert ammonia nitrogen into nitrogen gas using nitrous oxide as an electron acceptor, thereby achieving the purpose of denitrification. Compared with the traditional biological denitrification process (BNR), the denitrification of the AnAOB pathway has many advantages, such as no need for an external organic carbon source, high nitrogen removal load, low operating cost, low residual sludge production, and no secondary pollution. It can effectively alleviate the problem of organic carbon deficiency caused by energy recovery in urban sewage treatment plants while saving energy. Therefore, the autotrophic denitrification process with AnAOB as the core has become one of the main technical routes for upgrading and transforming the denitrification process of existing urban sewage treatment plants. The denitrification process of the AnAOB pathway mainly includes the PdA process (mainly composed of NB, DNB and AnAOB) and the PNA process (mainly composed of AOB and AnAOB). The latter is more energy-efficient than the former, but the latter requires more stringent water quality chemical conditions and relatively complex operating parameters. Both have been proven to contribute to a certain denitrification rate in the case of urban sewage treatment plants. However, domestic and foreign cases have confirmed that both have unstable operation problems. This is related to the slow growth rate and long doubling time of AnAOB, the key functional bacteria in the denitrification process of the AnAOB pathway. During the long-term operation of urban sewage treatment plants, AnAOB will gradually be lost with the discharge of residual sludge, resulting in a significant decrease in the denitrification contribution rate of the AnAOB pathway or even its complete disappearance. How to ensure the abundance of AnAOB bacteria is the key to process operation.

[0004] At present, the process parameters of exogenous anaerobic ammonia oxidation based on energy-saving carbon fixation SMART filler are basically designed with reference to the water quality of high-nitrogen industrial wastewater. Since the urban sewage quality has the characteristics of low ammonia nitrogen concentration and large fluctuations in water temperature with seasons, the parameter values ​​and process flow are not entirely reasonable. Summary of the invention

[0005] In view of the deficiencies in the prior art, the purpose of the present invention is to provide an automatic control system for an anaerobic ammonia oxidation process to solve the problem that the parameter values ​​and process flow are not entirely reasonable due to the characteristics of urban sewage quality such as low ammonia nitrogen concentration and large seasonal fluctuations in water temperature.

[0006] In order to achieve the above object, the technical solution adopted by the present invention is as follows:

[0007] The present invention discloses an automatic control system for an anaerobic ammonium oxidation process, comprising:

[0008] Denitrification contribution rate calculation subsystem, used to determine the denitrification contribution rates of different process denitrification pathways;

[0009] A mathematical model subsystem is used to establish a mathematical model between operating parameters and the denitrification contribution rate of the denitrification pathway of the exogenous anaerobic ammonium oxidation process; the operating parameters include temperature, DO, pH, HRT, SRT, sludge concentration, and sludge load;

[0010] The operating condition optimization subsystem is used to obtain the control factors of dissolved oxygen, pH and temperature, and at the same time, take energy consumption reduction measures to control membrane cleaning data and obtain sludge retention data; the control factors include nitrification and denitrification control factors, short-range nitrification control factors, and anaerobic ammonia oxidation control factors; the membrane cleaning data includes membrane cleaning gas volume, cleaning cycle, and dissolved oxygen;

[0011] The results obtained by the denitrification contribution rate calculation subsystem, the mathematical model subsystem, and the operating condition optimization subsystem are used to optimize the exogenous anaerobic ammonium oxidation process form and operating conditions;

[0012] Mechanistic analysis subsystem, used for mechanistic analysis of the denitrification pathway of exogenous anaerobic ammonium oxidation process;

[0013] The sludge yield research subsystem is used to obtain the sludge yield and operating conditions; analyze the influence of the operating conditions on the properties of activated sludge, the sludge apparent yield coefficient Yobs and extracellular polymers; the operating conditions include the reactor sludge concentration, HRT, SRT;

[0014] The result analysis subsystem is used to determine the operation mode and optimal combination of the exogenous anaerobic ammonium oxidation process according to the results obtained by the denitrification contribution rate calculation subsystem, the mathematical model subsystem, the operation condition optimization subsystem, the mechanism analysis subsystem, and the sludge yield research subsystem;

[0015] The energy-saving and carbon fixation research subsystem is used for energy-saving and carbon fixation research of exogenous anaerobic ammonium oxidation process; for the sewage treatment control reaction system based on exogenous anaerobic ammonium oxidation process, a combination of treatment technologies and operation modes are formulated, and intelligent control and programming are carried out.

[0016] Furthermore, in the denitrification contribution rate calculation subsystem, the specific method for determining the denitrification contribution rates of different process denitrification paths is to adopt 15 The denitrification contribution rate of different denitrification pathways was determined by N isotope labeled membrane injection mass spectrometry.

[0017] Furthermore, the sludge retention data includes sludge retention time, sludge concentration, sludge load data, and microbial population data.

[0018] Furthermore, the mechanism analysis subsystem specifically analyzes the mechanism of denitrification pathway of exogenous anaerobic ammonium oxidation process as follows: using high-throughput sequencing, real-time fluorescence quantitative PCR, and fluorescence in situ hybridization to obtain the bacterial microbial colony structure in sludge at different periods, analyzing the core phylum groups during the stable operation period of the process, and improving the comprehensive denitrification efficiency of the reactor; based on metagenomic analysis, metabolic pathway analysis is performed using Candidatus Kuenenia as a model bacterium to explore differentially expressed genes and differential functional pathways under different environmental conditions in the exogenous anaerobic ammonium oxidation process, and to obtain the mechanism of interaction between the environment and microorganisms.

[0019] Furthermore, the sludge yield research subsystem is specifically as follows: the physical properties of the sludge mixture are represented by measuring the filtration resistance, capillary water absorption time, and particle size distribution, and the particle size distribution is measured by a laser diffraction particle size distribution instrument; the biological properties of the sludge mixture are measured by using denaturing gradient gel electrophoresis and Illumina high-throughput sequencing to obtain the microbial community structure characteristics of the exogenous anaerobic ammonium oxidation process.

[0020] Furthermore, in the result analysis subsystem, the operation mode and the best combination of the exogenous anaerobic ammonium oxidation process are determined by: obtaining the fluid mechanics characteristics inside the reactor or unit equipment through CFD simulation, conducting a deeper analysis of the momentum, heat and mass transfer inside the reactor, and finally determining the optimal parameters.

[0021] Furthermore, in the energy saving and carbon fixation research subsystem, the energy saving and carbon fixation research of the exogenous anaerobic ammonium oxidation process is specifically as follows: the maximum economic flow rate is determined by using TreeAge Pro software, the capital construction cost and the operating cost are determined, and the carbon emission accounting of the process N2O gas emission and CO2 fixation during the process operation is performed. The collected gaseous N2O and CO2 are determined by a Foley GC9790 gas chromatograph equipped with a 63Ni electron capture detector and a PorapakQ chromatographic column, and the dissolved N2O is determined by the upper headspace method.

[0022] An automatic control method for an anaerobic ammonium oxidation process is applied to a sewage treatment control reaction system based on an exogenous anaerobic ammonium oxidation process, comprising the following steps:

[0023] (1) Determine the denitrification contribution rate of different process denitrification pathways;

[0024] (2) establishing a mathematical model between operating parameters and the denitrification contribution rate of the denitrification pathway of the exogenous anaerobic ammonium oxidation process; the operating parameters include temperature, DO, pH, HRT, SRT, sludge concentration, and sludge load;

[0025] (3) obtaining control factors of dissolved oxygen, pH, and temperature, and at the same time, taking energy consumption reduction measures to control membrane cleaning data and obtain sludge retention data; the control factors include nitrification and denitrification control factors, short-range nitrification control factors, and anaerobic ammonium oxidation control factors; the membrane cleaning data includes membrane cleaning gas volume, cleaning cycle, and dissolved oxygen;

[0026] (4) Mechanistic analysis of the denitrification pathway of exogenous anaerobic ammonium oxidation process;

[0027] (5) Obtaining sludge yield and operating conditions; analyzing the effects of operating condition changes on the properties of activated sludge, sludge apparent yield coefficient Yobs and extracellular polymers; the operating conditions include reactor sludge concentration, HRT, and SRT;

[0028] (6) determining the operation mode and optimal combination of the exogenous anaerobic ammonium oxidation process according to the results obtained from step (1) to step (5);

[0029] (7) Research on energy conservation and carbon fixation of exogenous anaerobic ammonium oxidation process, formulate treatment technology combination and operation mode for wastewater treatment control reaction system based on exogenous anaerobic ammonium oxidation process, and carry out intelligent control and programming.

[0030] Compared with the prior art, the present invention has the following beneficial effects:

[0031] (1) The present invention constructs an automatic control system for an anaerobic ammonium oxidation process to treat urban sewage, realizing partial nitrification-anaerobic ammonium oxidation and partial denitrification-anaerobic ammonium oxidation denitrification pathways, thereby effectively alleviating the problem of organic carbon deficiency caused by energy recovery in urban sewage treatment plants while saving energy.

[0032] (2) The present invention studies the process parameters and operating conditions, predicts the flow field within the process through numerical simulation, and conducts a deeper analysis of the momentum, heat and mass transfer inside the reactor by adjusting different operating parameters, and ultimately determines the optimal parameters.

[0033] (3) The exogenous anaerobic ammonium oxidation process flow and operating conditions of the present invention are optimized by conducting corresponding research through the mechanism analysis subsystem, sludge yield research subsystem, result analysis subsystem, and energy saving and carbon fixation research subsystem, effectively reducing process energy consumption measures and optimal economic flow, formulating a combination of treatment technologies and operating methods for the sewage treatment control reaction system based on the exogenous anaerobic ammonium oxidation process, and performing intelligent control and programming to ensure the abundance of AnAOB bacteria. The research and development of the exogenous anaerobic ammonium oxidation process control system includes data acquisition, system development, and software integration, and special programming is performed for the demonstration project to form a special control system to solve the problem that the urban sewage quality has the characteristics of low ammonia nitrogen concentration and large seasonal fluctuations in water temperature, which leads to unreasonable parameter values ​​and process flows. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative labor.

[0035] Figure 1 The figure is a block diagram of the working principle of an embodiment of the present invention. DETAILED DESCRIPTION

[0036] The embodiments of the present disclosure are described in detail below with reference to the accompanying drawings.

[0037] The following describes the embodiments of the present invention through specific examples, and those skilled in the art can easily understand other advantages and effects of the present invention from the contents disclosed in this specification. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all of the embodiments. The present invention can also be implemented or applied through other different specific embodiments, and the details in this specification can also be modified or changed in various ways based on different viewpoints and applications without departing from the spirit of the present invention. It should be noted that the following embodiments and features in the embodiments can be combined with each other without conflict. Based on the embodiments in the present disclosure, all other embodiments obtained by ordinary technicians in the field without making creative work are within the scope of protection of the present disclosure.

[0038] The embodiment of the present invention is based on an exogenous anaerobic ammonia oxidation process with independent intellectual property rights to establish a 1000m3 / d demonstration project in a sewage treatment plant, focusing on solving key technology problems such as key parameter control of the process, process energy saving and carbon fixation, and intelligent control of the entire process.

[0039] The inoculated sludge was taken from the traditional aerobic sludge and denitrification sludge in the biochemical reaction tank of the sewage treatment plant; AnAOB was taken from the sludge cultivated by the project team in the laboratory, which had good sludge activity and was red in color.

[0040] The experimental water used in the embodiment of the present invention comes from urban sewage from a sewage treatment plant to control the DO in the reaction system.

[0041] like Figure 1 As shown, an automatic control system of an anaerobic ammonium oxidation process according to an embodiment of the present invention comprises:

[0042] The denitrification contribution rate calculation subsystem is used to determine the denitrification contribution rate of different process denitrification paths. In the denitrification contribution rate calculation subsystem, the specific method for determining the denitrification contribution rate of different process denitrification paths is to use 15 The denitrification contribution rate of different denitrification pathways was determined by N isotope labeled membrane injection mass spectrometry.

[0043] The mathematical model subsystem is used to establish a mathematical model between the operating parameters and the denitrification contribution rate of the exogenous anaerobic ammonium oxidation process denitrification pathway. The operating parameters include temperature, DO, pH, HRT, SRT, sludge concentration, and sludge load.

[0044] The operating condition optimization subsystem is used to obtain the control factors of dissolved oxygen, pH, and temperature. At the same time, energy consumption reduction measures are taken to control membrane cleaning data and obtain sludge retention data. The control factors include nitrification and denitrification control factors, short-range nitrification control factors, and anaerobic ammonia oxidation control factors. Membrane cleaning data include membrane cleaning gas volume, cleaning cycle, and dissolved oxygen; sludge retention data include sludge retention time, sludge concentration, sludge load data, and microbial population data.

[0045] The mechanism analysis subsystem is used for the mechanism analysis of the process denitrification pathway of exogenous anaerobic ammonium oxidation. The mechanism analysis subsystem is used for the mechanism analysis of the process denitrification pathway of exogenous anaerobic ammonium oxidation. Specifically, high-throughput sequencing, real-time fluorescence quantitative PCR, and fluorescence in situ hybridization are used to obtain the bacterial microbial colony structure in the sludge at different periods, analyze the core phylum groups during the stable operation period of the process, and improve the comprehensive denitrification efficiency of the reactor; based on metagenomic analysis, Candidatus Kuenenia is used as a model bacterium for metabolic pathway analysis, to explore the differentially expressed genes and differential functional pathways under different environmental conditions in the exogenous anaerobic ammonium oxidation process, and to obtain the mechanism of interaction between the environment and microorganisms. The mechanism analysis subsystem focuses on the influence of typical single factor and complex multi-factor control conditions on the cooperative mechanism of the microbial community during the startup and stable operation of the exogenous anaerobic ammonium oxidation process, as well as the spatiotemporal distribution and dynamic changes of the microbial community.

[0046] The sludge yield research subsystem is used to obtain the sludge yield and operating conditions; analyze the effects of operating condition changes on the properties of activated sludge, sludge apparent yield coefficient Yobs and extracellular polymers; the operating conditions include reactor sludge concentration, HRT, and SRT; the sludge yield research subsystem is specifically as follows: the physical properties of the sludge mixture are expressed by measuring the filtration resistance, capillary water absorption time, and particle size distribution, and the particle size distribution is measured using a laser diffraction particle size distribution instrument; the biological properties of the sludge mixture are measured by using denaturing gradient gel electrophoresis and Illumina high-throughput sequencing to obtain the microbial community structure characteristics of the exogenous anaerobic ammonium oxidation process.

[0047] The result analysis subsystem is used to determine the operation mode and optimal combination of the exogenous anaerobic ammonium oxidation process; in the result analysis subsystem, the operation mode and optimal combination of the exogenous anaerobic ammonium oxidation process are determined as follows: through CFD simulation, the fluid mechanics characteristics inside the reactor or unit equipment are obtained, and the momentum, heat and mass transfer inside the reactor are analyzed in depth to finally determine the optimal parameters.

[0048] The energy-saving and carbon fixation research subsystem is used for the energy-saving and carbon fixation research of the exogenous anaerobic ammonium oxidation process. In the energy-saving and carbon fixation research subsystem, the energy-saving and carbon fixation research of the exogenous anaerobic ammonium oxidation process is specifically as follows: the maximum economic flow rate, the capital construction cost and the operating cost are determined using TreeAge Pro software, and the carbon emission accounting of the process N2O gas emission and CO2 fixation is performed during the process operation. The collected gaseous N2O and CO2 are measured by a Foley GC9790 gas chromatograph equipped with a 63Ni electron capture detector and a PorapakQ chromatographic column, and the dissolved N2O is measured by the upper headspace method.

[0049] An automatic control method of an anaerobic ammonium oxidation process according to an embodiment of the present invention is applied to a sewage treatment control reaction system based on an exogenous anaerobic ammonium oxidation process, and comprises the following steps:

[0050] (1) Determine the denitrification contribution rate of different process denitrification paths. In the denitrification contribution rate calculation subsystem, the specific method for determining the denitrification contribution rate of different process denitrification paths is to use 15 The denitrification contribution rate of different denitrification pathways was determined by N isotope labeled membrane injection mass spectrometry.

[0051] (2) Establish a mathematical model between operating parameters and the denitrification contribution rate of the exogenous anaerobic ammonium oxidation process denitrification pathway. The operating parameters include temperature, DO, pH, HRT, SRT, sludge concentration, and sludge load;

[0052] (3) obtaining control factors of dissolved oxygen, pH, and temperature, and at the same time, taking energy consumption reduction measures to control membrane cleaning data and obtain sludge retention data; the control factors include nitrification and denitrification control factors, short-range nitrification control factors, and anaerobic ammonium oxidation control factors; the membrane cleaning data includes membrane cleaning gas volume, cleaning cycle, and dissolved oxygen;

[0053] (4) Mechanistic analysis of the denitrification pathway of exogenous anaerobic ammonium oxidation process;

[0054] (5) Obtaining sludge yield and operating conditions; analyzing the effects of operating condition changes on the properties of activated sludge, sludge apparent yield coefficient Yobs and extracellular polymers; the operating conditions include reactor sludge concentration, HRT, and SRT;

[0055] (6) Determine the operation mode and optimal combination of exogenous anaerobic ammonium oxidation process;

[0056] (7) Research on energy conservation and carbon fixation of exogenous anaerobic ammonium oxidation process, formulate treatment technology combination and operation mode for wastewater treatment control reaction system based on exogenous anaerobic ammonium oxidation process, and carry out intelligent control and programming.

[0057] The above is a detailed introduction to the automatic control system of the anaerobic ammonia oxidation process provided by the present invention. Specific examples are used in this article to illustrate the principles and implementation methods of the present invention. The description of the above embodiments is only used to help understand the method of the present invention and its core idea; at the same time, for those skilled in the art, according to the idea of ​​the present invention, there will be changes in the specific implementation method and application scope. In summary, the content of this specification should not be understood as a limitation on the present invention.

Claims

1. An automatic control system for an anaerobic ammonium oxidation process, characterized in that: include: Denitrification contribution rate calculation subsystem, used to determine the denitrification contribution rates of different process denitrification pathways; A mathematical model subsystem is used to establish a mathematical model between operating parameters and the denitrification contribution rate of the denitrification pathway of the exogenous anaerobic ammonium oxidation process; the operating parameters include temperature, DO, pH, HRT, SRT, sludge concentration, and sludge load; The operating condition optimization subsystem is used to obtain the control factors of dissolved oxygen, pH and temperature, and at the same time, take energy consumption reduction measures to control membrane cleaning data and obtain sludge retention data; the control factors include nitrification and denitrification control factors, short-range nitrification control factors, and anaerobic ammonia oxidation control factors; the membrane cleaning data includes membrane cleaning gas volume, cleaning cycle, and dissolved oxygen; The results obtained by the denitrification contribution rate calculation subsystem, the mathematical model subsystem, and the operating condition optimization subsystem are used to optimize the exogenous anaerobic ammonium oxidation process form and operating conditions; Mechanistic analysis subsystem, used for mechanistic analysis of the denitrification pathway of exogenous anaerobic ammonium oxidation process; Sludge yield research subsystem, used to obtain sludge yield and operating conditions; Analyze the effects of operating condition changes on the properties of activated sludge, sludge apparent yield coefficient Yobs and extracellular polymers; the operating conditions include reactor sludge concentration, HRT, SRT; The result analysis subsystem is used to determine the operation mode and optimal combination of the exogenous anaerobic ammonium oxidation process according to the results obtained by the denitrification contribution rate calculation subsystem, the mathematical model subsystem, the operation condition optimization subsystem, the mechanism analysis subsystem, and the sludge yield research subsystem; The energy-saving and carbon fixation research subsystem is used for energy-saving and carbon fixation research of exogenous anaerobic ammonium oxidation process; for the sewage treatment control reaction system based on exogenous anaerobic ammonium oxidation process, a combination of treatment technologies and operation modes are formulated, and intelligent control and programming are carried out.

2. The automatic control system of an anaerobic ammonium oxidation process according to claim 1, characterized in that: In the denitrification contribution rate calculation subsystem, the specific method for determining the denitrification contribution rates of different process denitrification paths is to use 15 The denitrification contribution rate of different denitrification pathways was determined by N isotope labeled membrane injection mass spectrometry.

3. The automatic control system of an anaerobic ammonium oxidation process according to claim 1, characterized in that: The sludge retention data includes sludge retention time, sludge concentration, sludge load data, and microbial population data.

4. The automatic control system of an anaerobic ammonium oxidation process according to claim 1, characterized in that: The mechanism analysis subsystem specifically analyzes the mechanism of denitrification pathway of exogenous anaerobic ammonium oxidation process by: using high-throughput sequencing, real-time fluorescence quantitative PCR, and fluorescence in situ hybridization to obtain the bacterial microbial colony structure in sludge at different periods, analyzing the core phylum groups during the stable operation period of the process, and improving the comprehensive denitrification efficiency of the reactor; based on metagenomic analysis, metabolic pathway analysis is performed using Candidatus Kuenenia as a model bacterium to explore differentially expressed genes and differential functional pathways under different environmental conditions in the exogenous anaerobic ammonium oxidation process, and to obtain the mechanism of interaction between the environment and microorganisms.

5. The automatic control system of an anaerobic ammonium oxidation process according to claim 1, characterized in that: The sludge yield research subsystem is specifically as follows: the physical properties of the sludge mixture are expressed by measuring the filtration resistance, capillary water absorption time, and particle size distribution, and the particle size distribution is measured by a laser diffraction particle size distribution instrument; the biological properties of the sludge mixture are measured by using denaturing gradient gel electrophoresis and Illumina high-throughput sequencing to obtain the microbial community structure characteristics of the exogenous anaerobic ammonium oxidation process.

6. The automatic control system of an anaerobic ammonium oxidation process according to claim 1, characterized in that: In the result analysis subsystem, the operation mode and the best combination of the exogenous anaerobic ammonium oxidation process are determined by: obtaining the fluid mechanics characteristics inside the reactor or unit equipment through CFD simulation, conducting a deeper analysis of the momentum, heat and mass transfer inside the reactor, and finally determining the optimal parameters.

7. The automatic control system of an anaerobic ammonium oxidation process according to claim 1, characterized in that: In the energy saving and carbon fixation research subsystem, the energy saving and carbon fixation research of the exogenous anaerobic ammonium oxidation process is specifically as follows: the maximum economic flow rate, the capital construction cost and the operating cost are determined by using TreeAge Pro software, and the carbon emission accounting of the process N2O gas emission and CO2 fixation is performed during the process operation. The collected gaseous N2O and CO2 are determined by a Foley GC9790 gas chromatograph equipped with a 63Ni electron capture detector and a PorapakQ chromatographic column, and the dissolved N2O is determined by the upper headspace method.

8. An automatic control method for an anaerobic ammonium oxidation process, applied to a sewage treatment control reaction system based on an exogenous anaerobic ammonium oxidation process, comprising the following steps: (1) Determine the denitrification contribution rate of different process denitrification pathways; (2) establishing a mathematical model between operating parameters and the denitrification contribution rate of the denitrification pathway of the exogenous anaerobic ammonium oxidation process; the operating parameters include temperature, DO, pH, HRT, SRT, sludge concentration, and sludge load; (3) obtaining control factors of dissolved oxygen, pH, and temperature, and at the same time, taking energy consumption reduction measures to control membrane cleaning data and obtain sludge retention data; the control factors include nitrification and denitrification control factors, short-range nitrification control factors, and anaerobic ammonium oxidation control factors; the membrane cleaning data includes membrane cleaning gas volume, cleaning cycle, and dissolved oxygen; (4) Mechanistic analysis of the denitrification pathway of exogenous anaerobic ammonium oxidation process; (5) Obtaining sludge yield and operating conditions; analyzing the effects of operating condition changes on the properties of activated sludge, sludge apparent yield coefficient Yobs and extracellular polymers; the operating conditions include reactor sludge concentration, HRT, and SRT; (6) determining the operation mode and optimal combination of the exogenous anaerobic ammonium oxidation process according to the results obtained from step (1) to step (5); (7) Research on energy conservation and carbon fixation of exogenous anaerobic ammonium oxidation process, formulate treatment technology combination and operation mode for wastewater treatment control reaction system based on exogenous anaerobic ammonium oxidation process, and carry out intelligent control and programming.

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