Aeration control method, device and electronic equipment based on process ORP

By using an integrated ORP and pH meter combined with an aeration gas volume calculation model in the continuous flow biochemical treatment process, the control instability problem of the aeration link was solved, energy saving and carbon reduction of the system were achieved, maintenance was simplified, and the accuracy and stability of aeration control were improved.

CN117023802BActive Publication Date: 2025-09-30BEIJING ENTERPRISES WATER GROUP LTD
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Patent Information

Application Number
CN202311193718.2
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2023-09-15
Publication Date
2025-09-30
Estimated Expiration
2043-09-15

AI Technical Summary

Technical Problem

The control effect of the aeration link in the existing continuous flow biochemical treatment process is unstable, and the reliance on a large number of on-site instruments leads to high system maintenance costs, making it difficult to achieve energy conservation and carbon reduction.

Method used

Real-time monitoring is achieved by using an integrated instrument based on redox potential (ORP) and pH value. Combined with the aeration volume calculation model, an aeration volume mapping relationship is constructed through the redox potential Nernst equation and the ammonia nitrogen nitrification rate equation, which simplifies on-site instrument requirements and enables precise control of the aeration fan.

Benefits of technology

It improves the stability of aeration control and the energy-saving efficiency of the system, reduces system maintenance costs, and realizes simple device management.

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Abstract

The present application relates to an aeration control method, device, and electronic device based on process ORP, and belongs to the field of sewage treatment technology. The method of the present application is applied to a continuous flow sewage treatment process system, including: real-time acquisition of first ORP parameter data of the water body at the end of the anoxic tank of the system, and acquisition of second ORP parameter data of the water body at the end of the aerobic tank of the system; calling an aeration gas volume calculation model to calculate a base value of the aeration gas volume based on the first ORP parameter data, and to calculate an adjustment value of the aeration gas volume based on the second ORP parameter data; regulating the system aeration fan according to the superposition of the base value and the adjustment value; wherein the aeration gas volume calculation model is constructed based on the redox potential Nernst equation and the ammonia nitrogen nitrification rate equation, and is used to characterize the mapping relationship between ORP parameters, pH parameters, treated water volume parameters, and aeration gas volume. The present application requires fewer parameters to be monitored, and does not require more field instruments, which is conducive to the stability of the relevant control system.
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Description

Technical Field

[0001] The present application belongs to the technical field of sewage treatment, and specifically relates to an aeration control method, device and electronic equipment based on process ORP. Background Art

[0002] In the daily operation of sewage treatment plants, achieving energy conservation and carbon reduction while meeting emission standards has always been a research hotspot. Currently, intelligent aeration control systems, a key water plant control technology, use activated sludge kinetic models to calculate the oxygen demand of microorganisms in aerobic tanks at different times. This allows for precise control of aeration time, avoiding unnecessary aeration power consumption, and ultimately achieving energy conservation and carbon reduction.

[0003] The development of intelligent aeration control technology has benefited from the improvement of the functions and stability of online detection instruments, and has evolved from traditional control methods to model-based advanced multivariable control. In related technologies, the parameters generally measured include dissolved oxygen (DO), ammonia nitrogen, nitrate nitrogen, phosphate and organic matter. In actual implementation, a large number of instruments need to be installed on the biochemical pool. However, due to the constraints of the on-site application environment, there is a possibility that the instruments will be contaminated, resulting in incorrect test water quality indicators, affecting the actual control effect of the biochemical control system. The use of a large number of instruments increases the probability of this happening, which is not conducive to the stable operation of the relevant control system and also increases the system maintenance cost.

[0004] With technological development, a new technological development direction has emerged: further exploring the inherent relationships between biochemical reactions and establishing a connection between the removal effects of different pollutants and the water quality oxidation-reduction potential (ORP). Using ORP values ​​to express the removal effects of different pollutants and thereby control the start and stop of different biochemical reactions has become a new direction of technological development. For example, in the prior patents "Pulsed Water Inflow SBR Deep Denitrification Process and Process Control Method" (CN1850657A) and "A Two-Stage Short-Cut Nitrification Endogenous Denitrification Phosphorus Removal Process Based on Real-Time Control" (CN110240274A), the reaction time and aeration start and stop status of the denitrification process of the SBR process are controlled by relying on the ORP indicator. However, the control of air volume in this type of technology still requires DO measurement, and there are also problems caused by the large number of on-site instruments. Furthermore, this type of technology is currently mostly used in intermittent biochemical treatment processes.

[0005] Therefore, in order to achieve energy saving and carbon reduction in the aeration link in the continuous flow biochemical treatment process, how to propose an aeration control method with stable control effect, simple implementation, and convenient maintenance of related equipment systems has become a technical problem that needs to be solved urgently. Summary of the Invention

[0006] In order to overcome the problems existing in the related art to at least a certain extent, the present application provides an aeration control method, device and electronic equipment based on process ORP to solve the technical problem of unstable actual control effect in the aeration link control in the existing continuous flow biochemical treatment process.

[0007] To achieve the above objectives, this application adopts the following technical solutions:

[0008] Firstly,

[0009] The present application provides an aeration control method based on process ORP, which is applied to a continuous flow sewage treatment process system. The method comprises:

[0010] Real-time acquisition of first ORP parameter data of the water body at the end of the anoxic tank of the system, and acquisition of second ORP parameter data of the water body at the end of the aerobic tank of the system;

[0011] Invoking a pre-built aeration gas volume calculation model to calculate a basic value of the aeration gas volume based on the first ORP parameter data, and to calculate an adjustment value of the aeration gas volume based on the second ORP parameter data;

[0012] According to the superposition value of the basic value and the adjustment value, the aeration fan of the system is regulated;

[0013] The aeration gas volume calculation model is constructed based on the redox potential Nernst equation and the ammonia nitrogen nitrification rate equation, and is used to characterize the mapping relationship between ORP parameters, pH parameters, treated water volume parameters, and aeration gas volume.

[0014] Optionally, the calculating the adjustment value of the aeration gas volume based on the second ORP parameter data includes:

[0015] determining a real-time variation amplitude of the ORP index based on the second ORP parameter data;

[0016] When the real-time change amplitude is greater than a preset value, the aeration gas volume calculation model is called to calculate the adjustment value; otherwise, the adjustment value is set to zero.

[0017] Optionally, the ORP parameter data and pH parameter data required for calculation are obtained based on an ORP&pH integrated instrument.

[0018] Optionally, the pre-construction process of the aeration gas volume calculation model includes:

[0019] Parameter calibration is performed based on the ammonia nitrogen nitrification rate equation of the ammonia nitrogen nitrification process, and the ammonia nitrogen nitrification process description equation in the biochemical reaction is obtained by fitting. The ammonia nitrogen nitrification rate equation of the ammonia nitrogen nitrification process is combined with the biochemical process control conditions to obtain the biochemical ammonia nitrogen rate reaction rate equation based on the biochemical environment;

[0020] Based on the initial ammonia nitrogen concentration parameter, the ammonia nitrogen nitrification process description equation, the biochemical ammonia nitrogen rate reaction rate equation, and the redox potential Nernst equation are connected simultaneously to obtain a first Nernst equation based on process conditions and the ammonia nitrogen nitrification reaction;

[0021] The water quality influencing parameters in the first Nernst equation are optimized and sorted, and the sorted equation is deformed to obtain the aeration gas volume calculation model.

[0022] Optionally, the expression form of the aeration gas volume calculation model is specifically:

[0023]

[0024] in,

[0025] A Q represents the aeration volume, k represents the correction coefficient, Q represents the treated water volume parameter, pH represents the pH value parameter,

[0026] E represents the actual ORP parameter of the process, E0 represents the set ORP value of the process,

[0027] [NH4] indicates the set ammonia nitrogen value of the outlet water, [NO x ] indicates the set nitric nitrogen value of the outlet water.

[0028] D A It represents the oxygen utilization rate of the aeration equipment, and t represents time.

[0029] Secondly,

[0030] The present application provides an aeration control device based on process ORP, which is applied to a continuous flow sewage treatment process system. The aeration control device includes:

[0031] An acquisition processing module is used to obtain the first ORP parameter data of the water body at the end of the anoxic tank of the system in real time, and to obtain the second ORP parameter data of the water body at the end of the aerobic tank of the system;

[0032] a calculation processing module, configured to call a pre-built aeration gas volume calculation model, calculate a basic value of the aeration gas volume based on the first ORP parameter data, and calculate an adjustment value of the aeration gas volume based on the second ORP parameter data;

[0033] A regulating processing module, configured to regulate the system aeration fan according to the superposition of the basic value and the regulating value;

[0034] The aeration adjustment gas volume calculation model is constructed based on the Nernst equation of the redox potential during the system's ammonia nitrogen nitrification process, and is used to characterize the mapping relationship between ORP parameters, pH parameters, treated water volume parameters, and aeration gas volume.

[0035] Thirdly,

[0036] The present application provides an electronic device, including:

[0037] a memory having an executable program stored therein;

[0038] A processor is used to execute the executable program in the memory to implement the steps of the above method.

[0039] This application adopts the above technical solution, which has at least the following beneficial effects:

[0040] The technical solution of the present application is applied to a continuous flow sewage treatment process system. The method includes: obtaining first ORP parameter data of the water body at the end of the anoxic tank of the system in real time, and obtaining second ORP parameter data of the water body at the end of the aerobic tank of the system; calling a pre-built aeration gas volume calculation model, calculating the basic value of the aeration gas volume based on the first ORP parameter data, and calculating the adjustment value of the aeration gas volume based on the second ORP parameter data; regulating the system aeration fan according to the superposition of the basic value and the adjustment value; wherein the aeration gas volume calculation model is constructed based on the redox potential Nernst equation and the ammonia nitrogen nitrification rate equation, and is used to characterize the mapping relationship between ORP parameters, pH parameters, treated water volume parameters, and aeration gas volume. In the technical solution of the present application, the aeration gas volume calculation model constructed based on the redox potential Nernst equation and the ammonia nitrogen nitrification rate equation is used to control the aeration of the continuous flow sewage treatment process system. In practice, fewer parameters need to be monitored and no more field instruments are required. In the application scenario of the present application, it is conducive to the stability of the relevant control system. On the other hand, it is also simple to implement in practice, which is conducive to the management and maintenance of the relevant device system.

[0041] Other advantages, objects, and features of the present invention will be described in part in the following description and, in part, will be apparent to those skilled in the art based on an examination of the following or may be learned from the practice of the invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] The accompanying drawings are used to provide a further understanding of the technical solution of this application or the prior art and constitute a part of the specification. Among them, the drawings that express the embodiments of this application are used together with the embodiments of this application to explain the technical solution of this application, but do not constitute a limitation of the technical solution of this application.

[0043] Figure 1This is a flow chart of an aeration control method based on process ORP in one embodiment of the present application;

[0044] Figure 2 This is a schematic diagram illustrating the arrangement of a system for applying a process ORP-based aeration control method in one embodiment of the present application;

[0045] Figure 3 This is a schematic structural diagram of an aeration control device based on process ORP in one embodiment of the present application;

[0046] Figure 4 This is a schematic structural diagram of an electronic device in one embodiment of the present application;

[0047] Figure 5 This is a schematic diagram illustrating the energy-saving effect of applying the technical solution of the present application in one embodiment of the present application;

[0048] Figure 6 This is a schematic diagram illustrating the energy-saving effect of applying the technical solution of the present application in one embodiment of the present application.

[0049] In the figure, 1- anaerobic tank; 2- anoxic tank; 3- aerobic tank; 4- degassing tank; 5- inlet online instrument; 6- ORP & pH integrated instrument; 7- outlet nitrate nitrogen instrument; 8- aeration equipment; 9- central control system. DETAILED DESCRIPTION

[0050] To make the purpose, technical solutions, and advantages of this application more clear, the technical solutions of this application will be described in detail below. Obviously, the embodiments described are only some of the embodiments of this application, rather than all of them. Based on the embodiments in this application, all other implementation methods obtained by ordinary technicians in this field without making any creative work are within the scope of protection of this application.

[0051] As mentioned in the background, the intelligent aeration control system, as the main water plant control technology, calculates the oxygen demand of microorganisms in the aerobic tank at different time periods based on the activated sludge dynamic model, thereby accurately controlling the aeration time, avoiding unnecessary aeration power consumption, and achieving the goal of energy conservation and carbon reduction. The development of intelligent aeration control technology has benefited from the improvement of the functions and stability of online detection instruments, and has evolved from traditional control methods to advanced model-based multivariable control. In related technologies, the parameters generally measured include dissolved oxygen (DO), ammonia nitrogen, nitrate nitrogen, phosphate, and organic matter. In actual implementation, a large number of instruments need to be installed on the biochemical tank. However, due to the constraints of the on-site application environment, there is a possibility that the instruments will be contaminated, resulting in errors in the tested water quality indicators, affecting the actual control effect of the biochemical control system. The use of a large number of instruments increases the probability of this happening, which is not conducive to the stable operation of the relevant control system and also increases the system maintenance cost.

[0052] With the development of technology, by further exploring the intrinsic relationship between biochemical reactions, the connection between the removal effect of different pollutants and the water quality oxidation-reduction potential (ORP) is established. The removal effect of different pollutants is expressed by the ORP value, and the start and stop of different biochemical reactions are controlled, which has become a new technological development direction. However, in related technologies, the control of air volume in this type of technology still requires DO measurement, and there are also problems caused by the large number of on-site instruments. In addition, this type of technology is currently mostly used in intermittent biochemical treatment processes.

[0053] To address this, the present application proposes an aeration control method based on process ORP to solve the technical problem of unstable actual control effect in the aeration link control in the existing continuous flow biochemical treatment process.

[0054] like Figure 1 As shown, in one embodiment, the aeration control method based on process ORP proposed in this application is applied to a continuous flow sewage treatment process system, and the method includes:

[0055] Step S110, obtaining in real time the first ORP parameter data of the water at the end of the anoxic tank of the system, and obtaining the second ORP parameter data of the water at the end of the aerobic tank of the system;

[0056] For example, ORP measuring instruments can be installed at the outlet of the anoxic tank and the outlet of the aerobic tank of an actual water treatment system to monitor and obtain the first ORP parameter data and the second ORP parameter data in real time. It is easy to understand that the ORP parameter data is a time series data. In actual implementation, the real-time change amplitude of the ORP indicator can be determined by calculating the first-order time derivative.

[0057] Step S120, calling a pre-built aeration gas volume calculation model, calculating a basic value of the aeration gas volume based on the first ORP parameter data, and calculating an adjustment value of the aeration gas volume based on the second ORP parameter data;

[0058] It should be noted that the aeration gas volume calculation model in this application is constructed based on the redox potential Nernst equation and the ammonia nitrogen nitrification rate equation, and is used to characterize the mapping relationship between ORP parameters, pH parameters, treated water volume parameters, and aeration gas volume;

[0059] Specifically, for example, the aeration gas volume calculation model constructed in this way is expressed as follows:

[0060]

[0061] In expression (1),

[0062] A Q Indicates aeration volume (m 3 / h), k represents the correction coefficient, Q represents the treated water volume parameter (m 3 / h), pH represents pH parameter (dimensionless), E represents actual ORP parameter of the process (mV), E0 represents set ORP value of the process (mV), [NH4] represents set ammonia nitrogen value of effluent (mg / L), [NO x ] indicates the effluent nitrate nitrogen value (mg / L), D A It represents the oxygen utilization rate of the aeration equipment (%), and t represents the time (min);

[0063] In expression (1), based on different scenarios, the range of E0 is generally 75 to 120 mV, and the outlet water quality setting ammonia nitrogen value and outlet water setting nitrate nitrogen value are used as gas volume adjustment parameters, with a value range of 0.1 to 0.7.

[0064] Specifically, in this embodiment, the aeration volume calculation model (as shown in Expression (1)) is used to calculate and determine the basic value of the aeration volume according to the first ORP parameter data and the corresponding pH parameter data at the end of the anoxic zone of the system (based on the principle of biochemical reaction, the ORP parameter value here is generally a negative value), and the adjustment value of the aeration volume is calculated and determined according to the second ORP parameter data and the corresponding pH parameter data at the end of the aerobic zone of the system;

[0065] Furthermore, the process of calculating the adjustment value includes:

[0066] determining a real-time variation amplitude of the ORP indicator based on the second ORP parameter data;

[0067] When the real-time change amplitude is greater than the preset value, the aeration gas volume calculation model is called to calculate the adjustment value, otherwise the adjustment value is set to zero. In other words, when the ORP fluctuation at the aerobic end is large, the aeration gas volume needs to be adjusted;

[0068] For example, if the preset value is 2mV / min, the process can be expressed as follows:

[0069]

[0070] In expression (2), is the first-order derivative of the ORP parameter with respect to time. The corresponding |x| represents the real-time change amplitude of the ORP parameter. When x is a negative value, it indicates that the change trend is decreasing, and when it is a positive value, it indicates that the change trend is increasing.

[0071] And as shown in expression (2), in this embodiment, when the real-time change negative value is less than or equal to the preset value (including the case of no change), the adjustment value is zero, no adjustment is made, and the current aeration state is maintained (i.e., aeration control is performed only at the basic value);

[0072] In this embodiment, as described in step S120, the specific calculation of the adjustment value is performed only when it is determined that the aerobic terminal ORP fluctuation is large. This method is beneficial to unnecessary consumption of computing resources during the control process and is conducive to achieving energy saving effects.

[0073] In step S120, the basic value of the aeration gas volume is directly calculated and determined based on the first ORP parameter data and the corresponding pH parameter data using the calculation model shown in expression (1).

[0074] It should be noted that the construction process of the aeration gas volume calculation model will be explained later and will not be described in detail here.

[0075] After step S120, proceed to step S130 to regulate the system aeration fan according to the superposition value of the basic value and the adjustment value;

[0076] It should be noted here that in this application, the calculated basic value is generally a positive value, and the adjustment value is based on the relationship between the actual second ORP parameter data and the process set ORP value, which may be positive or negative, corresponding to increasing or decreasing the gas volume.

[0077] In actual implementation, Figure 2 As shown, the aeration amount can be adjusted by controlling the frequency and valve opening of the aeration device 8 (such as the aeration fan).

[0078] This application adopts the above technical solution, and constructs an aeration gas volume calculation model based on the redox potential Nernst equation and the ammonia nitrogen nitrification rate equation. This model is applied to perform aeration control of a continuous flow sewage treatment process system. In practice, fewer parameters need to be monitored, and no more field instruments are required. In the application scenario of this application, it is beneficial to the stability of the relevant control system, and on the other hand, it is also simple to implement in practice, which is beneficial to the management and maintenance of related equipment systems.

[0079] Furthermore, as an optimized implementation method, in practice, the ORP parameter data and pH parameter data required for calculation can be obtained based on an ORP & pH integrated instrument, which is conducive to the simplification of the implementation of the relevant control system and reduces the number of on-site instruments;

[0080] For example, if Figure 2 As shown, the ORP & pH integrated meter 6 is installed at the end of the anoxic tank 2 and the end of the aerobic tank 3 of the biochemical system.

[0081] The following is an introduction to the construction process of the aeration gas volume calculation model in the technical solution of this application.

[0082] Specifically, in the technical solution of this application, the pre-construction process of the aeration gas volume calculation model includes:

[0083] First, the parameters of the ammonia nitrogen nitrification process were calibrated according to the ammonia nitrogen nitrification rate equation, and the description equation of the ammonia nitrogen nitrification process in the biochemical reaction was obtained by fitting. The ammonia nitrogen nitrification rate equation of the ammonia nitrogen nitrification process was combined with the biochemical process control conditions to obtain the biochemical ammonia nitrogen rate reaction rate equation based on the biochemical environment.

[0084] Specifically, as known to those skilled in the art, the expression of the ammonia nitrogen nitrification rate equation in the ammonia nitrogen nitrification process is:

[0085]

[0086] In expression (3),

[0087] V represents the ammonia nitrogen nitrification rate, Vmax represents the maximum ammonia nitrogen nitrification rate, and S represents the ammonia nitrogen substance concentration;

[0088] Ks represents the ammonia nitrogen half-saturation parameter, HNO2 represents the nitrite concentration, and Ki represents the nitrite inhibition parameter. Indicates ammonia nitrogen concentration (mg / L).

[0089] Based on expression (3), the set values ​​of the influent ammonia nitrogen value NH4(i) and the effluent ammonia nitrogen concentration NH4(f) of the biochemical process are calibrated, and the descriptive equation of the ammonia nitrogen nitrification process in the biochemical reaction is fitted to obtain the following expression:

[0090]

[0091] In expression (4),

[0092] NH 4(i) Indicates the influent ammonia nitrogen concentration (mg / L), NH 4(f) Indicates the ammonia nitrogen concentration of the outlet water (mg / L),

[0093] R AOB represents the oxidation rate of AOB bacteria (unit: mg-O2 / L), Ks(AOB) represents the half-saturation parameter of AOB, and T represents time (h).

[0094] Based on expression (3), the biochemical process control conditions (such as pH value, DO, temperature, etc.) are combined with it (such as the conversion of the half-saturation parameter Ks at different DO and temperature) to form the biochemical ammonia nitrogen rate reaction rate equation based on the biochemical environment, which is expressed as follows:

[0095]

[0096] In expression (5),

[0097] V represents the ammonia nitrogen nitrification reaction rate (mg / L), Ki represents the inhibition constant (generally measured based on experiments), θ represents the Arrhenius constant, PH represents the pH value, T represents the real-time temperature (℃), Tr represents the reference temperature (℃), DO represents the dissolved oxygen (mg / L), Indicates ammonia nitrogen concentration (mg / L), K pO2 represents the oxygen affinity constant, and HNO2 represents the nitrate concentration.

[0098] Then, based on the initial ammonia nitrogen concentration parameter, the ammonia nitrogen nitrification process description equation, the biochemical ammonia nitrogen reaction rate equation, and the redox potential Nernst equation were connected simultaneously to obtain the first Nernst equation based on the process conditions and the ammonia nitrogen nitrification reaction;

[0099] Specifically, as known to those skilled in the art, the redox potential Nernst equation can be represented by the following expression:

[0100] E=E 0 +(RT / nF)ln([Oxi] / [Ord]) (6)

[0101] In expression (6),

[0102] Oxi represents the product after the reaction (mol / L), Ord represents the reactant (mol / L), R represents the gas constant, T represents the temperature (K), n represents the number of moles of electrons exchanged in the electrochemical reaction, F represents the Faraday constant, E 0 represents the standard potential of the reaction product (mV).

[0103] The specific reaction equation of the ammonia nitrogen nitrification process is:

[0104] NH4 + +1.83O2+1.98HCO3 - →0.021C5H7O2N+0.98NO3 - +1.04H2O+1.884H2CO3 (7)

[0105] The ammonia nitrogen nitrification process can be described from a thermodynamic perspective using the Nernst equation, or from a kinetic perspective using the biochemical ammonia nitrogen rate reaction rate equation and derived equations. Both involve the parameter of initial ammonia nitrogen concentration. Based on this as the connection point, in this step, the relevant equations are connected and transformed to obtain the first Nernst equation in the following form:

[0106]

[0107] In expression (8), E represents the process ORP value, E 0 represents the standard value of the product nitrate NO3-N (recorded in relevant literature, the value can be -340mV), RT / nF represents the Nernst equation parameter (see the parameter description part of expression (6)), It represents the ammonia nitrogen concentration after the reaction, DO represents the dissolved oxygen concentration, represents the nitrate concentration, H2O represents the hydrated ion concentration, represents the nitrite concentration, and H represents the hydrogen ion concentration.

[0108] Finally, the water quality influencing parameters in the first Nernst equation were optimized and sorted out, and the sorted equation was deformed to obtain the aeration gas volume calculation model.

[0109] Specifically, the first Nernst equation represented by expression (8) is optimized and sorted out. For example, the values ​​of some constants are brought in, NO2- is directly ignored due to its low content in actual water samples, and the H ion concentration is replaced by pH. The process part (E in the derivation process) 0 Take -340mv) can be expressed as follows:

[0110]

[0111]

[0112] Then, based on the deformation process of expression (10), the aeration gas volume calculation model is obtained:

[0113] Specifically, the deformation process includes: transforming the above expression to achieve the E value and process The relationship between the NO3 value and the E value in the biochemical process and the corresponding dissolved oxygen DO value is further integrated to realize the mapping relationship between the redox potential ORP and the air volume Aq. The process part can be expressed by the following expression:

[0114]

[0115]

[0116]

[0117] By performing integral control on expression (10c), expression (1) can be obtained, and the derivation process ends here.

[0118] Figure 3 A schematic diagram of the structure of an aeration control device based on process ORP is provided in one embodiment of the present application, as shown in FIG. Figure 3As shown, the aeration control device 300 is applied to a continuous flow sewage treatment process system, which includes:

[0119] The acquisition processing module 301 is used to obtain the first ORP parameter data of the water body at the end of the anoxic tank of the system in real time, and obtain the second ORP parameter data of the water body at the end of the aerobic tank of the system;

[0120] The calculation processing module 302 is configured to call a pre-built aeration gas volume calculation model to calculate a basic value of the aeration gas volume based on the first ORP parameter data, and to calculate an adjustment value of the aeration gas volume based on the second ORP parameter data;

[0121] An adjustment processing module 303 is used to adjust the system aeration fan according to the superposition value of the basic value and the adjustment value;

[0122] Among them, the aeration adjustment gas volume calculation model is constructed based on the Nernst equation of the redox potential during the system's ammonia nitrogen nitrification process, which is used to characterize the mapping relationship between ORP parameters, pH value parameters, treated water volume parameters, and aeration gas volume.

[0123] Regarding the aeration control device 300 in the above-mentioned related embodiment, the specific manner in which each module performs operations has been described in detail in the embodiment of the method, and will not be elaborated on here.

[0124] Figure 4 A schematic diagram of the structure of an electronic device provided in one embodiment of the present application is shown in FIG. Figure 4 As shown, the electronic device 400 includes:

[0125] Memory 401, on which executable programs are stored;

[0126] The processor 402 is configured to execute the executable program in the memory 401 to implement the steps of the above method.

[0127] Regarding the electronic device 400 in the above embodiment, the specific manner in which its processor 402 executes the program in the memory 401 has been described in detail in the embodiment of the method, and will not be elaborated here.

[0128] Finally, the actual energy-saving effect of the technical solution of this application in application is illustrated by an example.

[0129] In one embodiment, referring to Figure 2The figure shows a schematic diagram of the biochemical layout of the A2O process. An ORP & pH integrated instrument 6 is installed at the outlet of the anoxic tank and the outlet of the aerobic tank, and other field instruments are installed to monitor relevant parameters. The real-time parameters of the relevant instruments are transmitted to the central control system through the network. Based on this, the aeration control method of the present application is used for control. The ORP value (E0 is set to 115mV in this embodiment) is used to accurately control the aeration air volume, which can effectively improve the denitrification energy saving efficiency of the system. The average daily power consumption per ton of water for aeration before implementation is 0.063kWh / t, and after implementation is 0.053kWh / t, saving 15.9% of aeration energy consumption. The relevant comparative data are shown in FIG. Figure 5 shown.

[0130] In another embodiment, referring to Figure 2 The figure shows a schematic diagram of the biochemical layout of the A2O process. An ORP & pH integrated instrument 6 is installed at the outlet of the anoxic tank and the outlet of the aerobic tank, and other field instruments are installed to monitor relevant parameters. The real-time parameters of the relevant instruments are transmitted to the central control system through the network. Based on this, the aeration control method of the present application is used for control. The ORP value (in this case, the ORP is set to E0 of 85mV) is used to achieve precise control of the aeration air volume, thereby improving the energy-saving efficiency of the system's denitrification. Before implementation, the average daily power consumption per ton of water for aeration was 0.053kWh / t, and after implementation, it was 0.042kWh / t, saving 20.7% of aeration energy consumption. The relevant comparative data are shown in FIG. Figure 6 shown.

[0131] The above description is merely a preferred embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any changes or substitutions that can be easily conceived by anyone skilled in the art within the technical scope disclosed in the present invention should be included within the scope of protection of the present invention. Therefore, the scope of protection of the present invention should be based on the scope of protection of the claims.

Claims

1. An aeration control method based on process ORP, characterized in that: Applied to continuous flow sewage treatment process systems, including: Real-time acquisition of first ORP parameter data of the water body at the end of the anoxic tank of the system, and acquisition of second ORP parameter data of the water body at the end of the aerobic tank of the system; Invoking a pre-built aeration gas volume calculation model to calculate a basic value of the aeration gas volume based on the first ORP parameter data, and to calculate an adjustment value of the aeration gas volume based on the second ORP parameter data; According to the superposition value of the basic value and the adjustment value, the aeration fan of the system is regulated; The aeration volume calculation model is constructed based on the redox potential Nernst equation and the ammonia nitrogen nitrification rate equation, and is used to characterize the mapping relationship between ORP parameters, pH parameters, treated water volume parameters, and aeration volume. The expression form of the aeration volume calculation model is specifically as follows: Among them, A Q Indicates the aeration volume, k indicates the correction coefficient, Q indicates the treated water volume parameter, pH indicates the pH value parameter, E indicates the actual ORP parameter of the process, E0 indicates the process set ORP value, [NH4] indicates the set ammonia nitrogen value of the effluent, [NO x ] indicates the nitrate nitrogen value of the outlet water, D A represents the oxygen utilization rate of the aeration equipment, and t represents time.

2. The aeration control method according to claim 1, characterized in that: The calculating the adjustment value of the aeration gas volume based on the second ORP parameter data includes: determining a real-time variation amplitude of the ORP index based on the second ORP parameter data; When the real-time change amplitude is greater than a preset value, the aeration gas volume calculation model is called to calculate the adjustment value; otherwise, the adjustment value is set to zero.

3. The aeration control method according to claim 1, characterized in that: Obtain the ORP parameter data and pH value parameter data required for calculation based on the ORP&pH integrated instrument.

4. The aeration control method according to claim 1, characterized in that: The pre-construction process of the aeration gas volume calculation model includes: Parameter calibration is performed based on the ammonia nitrogen nitrification rate equation of the ammonia nitrogen nitrification process, and the ammonia nitrogen nitrification process description equation in the biochemical reaction is obtained by fitting. The ammonia nitrogen nitrification rate equation of the ammonia nitrogen nitrification process is combined with the biochemical process control conditions to obtain the biochemical ammonia nitrogen rate reaction rate equation based on the biochemical environment; Based on the initial ammonia nitrogen concentration parameter, the ammonia nitrogen nitrification process description equation, the biochemical ammonia nitrogen rate reaction rate equation, and the redox potential Nernst equation are connected simultaneously to obtain a first Nernst equation based on process conditions and the ammonia nitrogen nitrification reaction; The water quality influencing parameters in the first Nernst equation are optimized and sorted, and the sorted equation is deformed to obtain the aeration gas volume calculation model.

5. An aeration control device based on process ORP, characterized in that: Applied to a continuous flow sewage treatment process system, the aeration control device includes: An acquisition processing module is used to obtain the first ORP parameter data of the water body at the end of the anoxic tank of the system in real time, and to obtain the second ORP parameter data of the water body at the end of the aerobic tank of the system; a calculation processing module, configured to call a pre-built aeration gas volume calculation model, calculate a basic value of the aeration gas volume based on the first ORP parameter data, and calculate an adjustment value of the aeration gas volume based on the second ORP parameter data; A regulating processing module, configured to regulate the system aeration fan according to the superposition of the basic value and the regulating value; The aeration adjustment gas volume calculation model is constructed based on the Nernst equation of the redox potential during the ammonia nitrogen nitrification process of the system, and is used to characterize the mapping relationship between the ORP parameter, pH value parameter, treated water volume parameter, and the aeration gas volume; the expression form of the aeration gas volume calculation model is specifically as follows: Among them, A Q Indicates the aeration volume, k indicates the correction coefficient, Q indicates the treated water volume parameter, pH indicates the pH value parameter, E indicates the actual ORP parameter of the process, E0 indicates the process set ORP value, [NH4] indicates the set ammonia nitrogen value of the effluent, [NO x ] indicates the nitrate nitrogen value of the outlet water, D A represents the oxygen utilization rate of the aeration equipment, and t represents time.

6. An electronic device, characterized in that: include: a memory having an executable program stored therein; A processor, configured to execute the executable program in the memory to implement the steps of the method according to any one of claims 1 to 4.

Citation Information

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