Method and system for dynamic optimization of energy consumption of wastewater treatment plant based on water quality monitoring

Abstract

This invention provides a method and system for dynamic optimization of energy consumption in wastewater treatment plants based on water quality monitoring, relating to the field of wastewater treatment plant management technology. The method includes: real-time acquisition of influent water quality parameters and water quality parameters in the reaction tank; determination of water quality disturbance intensity; triggering a high-load response mechanism if the water quality disturbance intensity is greater than or equal to a preset threshold; entering a normal optimization mode if the water quality disturbance intensity is less than the preset threshold; determining a dynamically optimized dissolved oxygen concentration reference value; determining the equilibrium reflux ratio; obtaining the excess sludge discharge flow rate; determining the sludge retention time; and inputting the dynamically optimized dissolved oxygen concentration reference value, the equilibrium reflux ratio, and the sludge retention time into the wastewater treatment plant's central control system to adjust the operating status of aeration equipment, reflux pumps, and sludge discharge pumps. According to this invention, high-load and normal operating conditions can be dynamically distinguished based on disturbance intensity and water quality conditions, and energy consumption optimization schemes for aeration, reflux, and sludge discharge can be formulated.

Description

Technical Field

[0001] This invention relates to the field of wastewater treatment plant management technology, and in particular to a method and system for dynamic optimization of energy consumption in wastewater treatment plants based on water quality monitoring. Background Technology

[0002] Current technologies, while generating total energy consumption optimization schemes through model prediction, do not consider the impact of dynamic fluctuations in actual operating conditions during wastewater treatment on the optimization of main energy consumption. In other words, they cannot formulate energy consumption optimization schemes for aeration, recirculation, and sludge discharge based on the intensity of disturbance and water quality.

[0003] The information disclosed in the background section of this application is intended only to enhance the understanding of the general background of this application and should not be construed as an admission or in any way implying that the information constitutes prior art known to those skilled in the art. Summary of the Invention

[0004] This invention provides a method and system for dynamic optimization of energy consumption in wastewater treatment plants based on water quality monitoring, which can solve the technical problem that related technologies cannot formulate energy consumption optimization schemes for aeration, recirculation and sludge discharge according to the intensity of disturbance and water quality.

[0005] According to a first aspect of the present invention, a method for dynamic optimization of energy consumption in a wastewater treatment plant based on water quality monitoring is provided, comprising: deploying multi-parameter water quality monitoring units at the influent end and each biological reactor of the wastewater treatment plant to collect influent water quality parameters and water quality parameters in the reactors in real time; determining the water quality disturbance intensity, which measures the degree of load fluctuation, at preset intervals based on the influent water quality parameters; triggering a high-load response mechanism if the water quality disturbance intensity is greater than or equal to a preset threshold; and entering a normal optimization mode if the water quality disturbance intensity is less than the preset threshold. Based on the water quality parameters and the water quality parameters in the reaction tank, a dynamic optimized dissolved oxygen concentration reference value representing optimized aeration energy consumption is determined; based on the water quality parameters in the reaction tank, a balanced return ratio representing optimized return energy consumption is determined; the excess sludge discharge flow rate is obtained; based on the influent water quality parameters and the excess sludge discharge flow rate, the sludge retention time representing optimized sludge treatment energy consumption is determined; the dynamic optimized dissolved oxygen concentration reference value, the balanced return ratio, and the sludge retention time are input into the wastewater treatment plant's central control system to adjust the operating status of the aeration equipment, return pump, and sludge discharge pump.

[0006] Further, based on the influent water quality parameters, the water quality disturbance intensity for measuring load fluctuation is determined at preset intervals, including: obtaining the influent chemical oxygen demand (COD), influent flow rate, and influent water temperature based on the influent water quality parameters; obtaining the historical influent COD at the start of the current preset interval; calculating the relative difference between the influent COD and the historical influent COD; calculating the ratio of the influent flow rate to the influent flow rate reference value, and calculating the ratio of the influent water temperature to the water temperature reference value; adding the relative difference, the influent flow rate ratio, and the water temperature ratio to determine the water quality disturbance intensity for measuring load fluctuation.

[0007] Further, based on the influent water quality parameters and the water quality parameters in the reaction tank, a reference value for dynamically optimized dissolved oxygen concentration representing optimized aeration energy consumption is determined, including: obtaining the influent chemical oxygen demand (COD) and influent flow rate based on the influent water quality parameters; obtaining a first function of the influent COD changing with time based on the influent COD within the current preset interval; obtaining a second function of the influent flow rate changing with time based on the influent flow rate within the current preset interval; obtaining the density of active microorganisms based on the water quality parameters in the reaction tank; obtaining the effective volume of the aerobic zone and the nitrate nitrogen concentration of the aerobic zone; and determining the reference value for dynamically optimized dissolved oxygen concentration representing optimized aeration energy consumption through a logarithmic saturated response based on the first function, the second function, the preset interval, the density of active microorganisms, the effective volume of the aerobic zone, and the nitrate nitrogen concentration of the aerobic zone.

[0008] Further, based on the first function, the second function, the preset interval time, the density of active microorganisms, the effective volume of the aerobic zone, and the nitrate nitrogen concentration of the aerobic zone, a reference value for the dynamically optimized dissolved oxygen concentration representing the optimized aeration energy consumption is determined through a logarithmic saturation response, including: according to the formula: Determine the dynamic optimal dissolved oxygen concentration reference value at the current moment. ,in, Based on dissolved oxygen concentration, This represents the current nitrate nitrogen concentration in the aerobic zone. The baseline nitrate nitrogen concentration, For the first function, For the second function, The effective volume of the aerobic zone, The current density of active microorganisms. T is a fixed constant, T is the preset interval time, and t is the current time.

[0009] Further, based on the water quality parameters in the reaction tank, the equilibrium reflux ratio representing optimized reflux energy consumption is determined, including: obtaining the ammonia nitrogen concentration at the inlet of the anoxic zone and the ammonia nitrogen concentration at the outlet of the anoxic zone based on the water quality parameters in the reaction tank; obtaining the oxidation-reduction potential of the anoxic zone and obtaining a reference value for the oxidation-reduction potential; and determining the equilibrium reflux ratio representing optimized reflux energy consumption based on the ammonia nitrogen concentration at the inlet of the anoxic zone, the ammonia nitrogen concentration at the outlet of the anoxic zone, the oxidation-reduction potential, and the reference value for the oxidation-reduction potential.

[0010] Further, based on the ammonia nitrogen concentration at the inlet of the anoxic zone, the ammonia nitrogen concentration at the outlet of the anoxic zone, the redox potential, and the redox potential reference value, a balance reflux ratio representing optimized reflux energy consumption is determined, including: using the ratio of the ammonia nitrogen concentration at the outlet of the anoxic zone to the ammonia nitrogen concentration at the inlet of the anoxic zone as a first ratio to measure the degree of ammonia nitrogen consumption along the path within the anoxic zone; using the ratio of the redox potential to the redox potential reference value as a second ratio representing the normalized potential deviation; taking the second ratio as a natural exponential function to obtain a nonlinear amplification factor representing the degree of deviation of the redox environment; and multiplying the first ratio by the nonlinear amplification factor to determine the balance reflux ratio representing optimized reflux energy consumption.

[0011] Further, based on the influent water quality parameters and the excess sludge discharge flow rate, the sludge retention time representing the optimized sludge treatment energy consumption is determined, including: obtaining the influent suspended solids concentration and influent total phosphorus concentration based on the influent water quality parameters; obtaining the total volume of the bioreactor; using the ratio of the influent suspended solids concentration to the influent total phosphorus concentration as a concentration ratio representing the relative loading relationship between carbon-source suspended solids and phosphorus in the influent; dividing the total volume of the bioreactor by the excess sludge discharge flow rate as the theoretical sludge retention time in the reactor under the current discharge flow rate condition; and multiplying the concentration ratio by the theoretical retention time to determine the sludge retention time representing the optimized sludge treatment energy consumption.

[0012] According to a second aspect of the present invention, a dynamic energy consumption optimization system for wastewater treatment plants based on water quality monitoring is provided, comprising: a parameter acquisition module for deploying multi-parameter water quality monitoring units at the influent end and each biological reactor of the wastewater treatment plant to collect influent water quality parameters and reactor water quality parameters in real time; a water quality disturbance intensity module for determining the water quality disturbance intensity, which measures the degree of load fluctuation, at preset intervals based on the influent water quality parameters; a high-load response mechanism module for triggering a high-load response mechanism if the water quality disturbance intensity is greater than or equal to a preset threshold; a normal optimization mode module for entering a normal optimization mode if the water quality disturbance intensity is less than a preset threshold; and a dynamic optimization dissolved oxygen concentration reference value module. The system comprises the following modules: a module for determining a dynamically optimized dissolved oxygen concentration reference value representing optimized aeration energy consumption based on the influent water quality parameters and the water quality parameters in the reaction tank; a balance return ratio module for determining a balance return ratio representing optimized return energy consumption based on the water quality parameters in the reaction tank; a waste sludge discharge flow rate module for obtaining the waste sludge discharge flow rate; a sludge retention time module for determining a sludge retention time representing optimized sludge treatment energy consumption based on the influent water quality parameters and the waste sludge discharge flow rate; and an adjustment module for inputting the dynamically optimized dissolved oxygen concentration reference value, the balance return ratio, and the sludge retention time into the wastewater treatment plant's central control system to adjust the operating status of the aeration equipment, return pump, and sludge discharge pump.

[0013] Technical Effects: According to this invention, by calculating the intensity of water quality disturbance and comparing it with a preset threshold, the system automatically distinguishes between high-load response mechanisms and conventional optimization modes, reducing energy waste. Real-time water quality data drives precise control, enabling dynamic optimization of the three energy-consuming stages: aeration, recirculation, and sludge removal. Specifically, by dynamically optimizing the dissolved oxygen concentration reference value, the balanced recirculation ratio, and sludge retention time, the actual water load is precisely matched, reducing the long-term high-energy-consumption operation of aeration equipment, recirculation pumps, and sludge pumps. When determining the dynamically optimized dissolved oxygen concentration reference value, a ratio can be calculated between the organic load pressure and the system's biodegradation capacity. This ratio is then weighted and corrected using the current nitrification level to comprehensively quantify the system's actual demand for dissolved oxygen. Finally, a logarithmic saturation function is used to transform this ratio into a dynamically optimized dissolved oxygen concentration reference value that meets treatment requirements while reducing aeration energy waste.

[0014] It should be understood that the foregoing general description and the following detailed description are exemplary and explanatory only, and are not intended to limit the invention. Other features and aspects of the invention will become clearer from the following detailed description of exemplary embodiments with reference to the accompanying drawings. Attached Figure Description

[0015] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other embodiments can be obtained based on these drawings without creative effort. Figure 1 An exemplary flowchart of a wastewater treatment plant energy consumption dynamic optimization method based on water quality monitoring according to an embodiment of the present invention is shown. Figure 2 An exemplary flowchart for calculating the intensity of water quality disturbance according to an embodiment of the present invention is shown; Figure 3 An exemplary flowchart illustrating the calculation of dynamically optimized dissolved oxygen concentration reference values ​​according to an embodiment of the present invention is shown; Figure 4 An exemplary flowchart for calculating the equilibrium reflux ratio according to an embodiment of the present invention is shown; Figure 5 An exemplary flowchart for calculating sludge retention time according to an embodiment of the present invention is shown; Figure 6 A block diagram of a wastewater treatment plant energy consumption dynamic optimization system based on water quality monitoring according to an embodiment of the present invention is shown as an example. Detailed Implementation

[0016] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0017] The technical solution of the present invention will be described in detail below with reference to specific embodiments. These specific embodiments can be combined with each other, and the same or similar concepts or processes may not be described again in some embodiments.

[0018] Figure 1 An exemplary flowchart illustrates a method for dynamic optimization of energy consumption in wastewater treatment plants based on water quality monitoring, according to an embodiment of the present invention. The method includes: Step S1: Deploy multi-parameter water quality monitoring units at the inlet of the wastewater treatment plant and in each biological reactor to collect influent water quality parameters and reactor water quality parameters in real time. Step S2: Based on the influent water quality parameters, determine the water quality disturbance intensity at preset intervals to measure the degree of load fluctuation; Step S3: If the intensity of the water quality disturbance is greater than or equal to a preset threshold, a high-load response mechanism is triggered. Step S4: If the water quality disturbance intensity is less than a preset threshold, then enter the normal optimization mode; Step S5: Based on the influent water quality parameters and the water quality parameters in the reaction tank, determine the reference value of the dynamically optimized dissolved oxygen concentration representing the optimized aeration energy consumption; Step S6: Determine the balance reflux ratio, which represents the optimized reflux energy consumption, based on the water quality parameters in the reaction tank. Step S7: Obtain the remaining sludge discharge flow rate; Step S8: Determine the sludge retention time, which represents the optimized energy consumption of sludge treatment, based on the influent water quality parameters and the residual sludge discharge flow rate. Step S9: Input the dynamically optimized dissolved oxygen concentration reference value, the equilibrium reflux ratio, and the sludge retention time into the wastewater treatment plant's central control system to adjust the operating status of the aeration equipment, reflux pump, and sludge discharge pump.

[0019] According to an embodiment of the present invention, the dynamic optimization method for energy consumption of wastewater treatment plants based on water quality monitoring automatically distinguishes between high-load response mechanisms and conventional optimization modes by calculating the intensity of water quality disturbance and comparing it with a preset threshold. This reduces energy waste and drives precise control with real-time water quality data. It can achieve dynamic optimization of the three major energy-consuming links of aeration, recirculation, and sludge discharge according to the water quality conditions. That is, by dynamically optimizing the reference value of dissolved oxygen concentration, the balance recirculation ratio, and the sludge retention time, it accurately matches the actual water quality load and reduces the long-term high-energy-consumption operation of aeration equipment, recirculation pumps, and sludge discharge pumps.

[0020] According to one embodiment of the present invention, in step S1, monitoring devices, such as ammonia nitrogen concentration sensors, are installed at key locations at the inlet of the wastewater treatment plant and inside each biological reactor. The devices continuously collect water quality parameters at the inlet (e.g., chemical oxygen demand, ammonia nitrogen concentration, total phosphorus concentration, etc.) and water quality parameters inside each biological reactor (e.g., dissolved oxygen concentration, mixed liquor suspended solids concentration, oxidation-reduction potential, etc.), and transmit the collected data to the central control system in real time, thereby realizing real-time monitoring of the water quality status throughout the entire wastewater treatment process.

[0021] According to one embodiment of the present invention, in step S2, the preset interval time can be set to half an hour, one hour, etc., and the present invention does not limit this. Based on the currently collected influent water quality parameters, the degree of deviation of the influent water quality from the previous period is quantitatively evaluated. This degree of deviation is the water quality disturbance intensity. The larger the value of the water quality disturbance intensity, the more violent the fluctuation of the influent load; the smaller the value, the more stable the influent load.

[0022] Figure 2An exemplary flowchart for calculating the intensity of water quality disturbance according to an embodiment of the present invention is shown.

[0023] According to an embodiment of the present invention, step S2 includes: step S21, obtaining the influent chemical oxygen demand (COD), influent flow rate, and influent temperature based on the influent water quality parameters; step S22, obtaining the historical COD at the start time of the current preset interval; step S23, calculating the relative difference between the influent COD and the historical COD; step S24, calculating the ratio of the influent flow rate to the influent flow rate reference value, and calculating the ratio of the influent temperature to the water temperature reference value; step S25, multiplying the relative difference, the influent flow rate ratio, and the water temperature ratio to determine the water quality disturbance intensity that measures the degree of load fluctuation.

[0024] According to one embodiment of the present invention, the current time is the end time of the current preset interval, and the water quality disturbance intensity at the current time can be determined based on the influent water quality parameters. According to the formula: ,in, This represents the current influent chemical oxygen demand (COD). This refers to the historical influent chemical oxygen demand at the start time of the current preset interval. This is a preset value. This represents the current inflow rate. This is a reference value for the influent flow rate. The current inlet water temperature. Here is the reference water temperature value, T is the preset interval time, and t is the current time. The relative difference between the influent chemical oxygen demand (COD) and the historical influent COD indicates the degree of change in influent COD. The value is a preset value, for example, 0.001 mg / L. The larger the relative difference, the greater the degree of change in the influent chemical oxygen demand, the more drastic the relative fluctuation of the influent chemical oxygen demand within the current preset interval, and the greater the intensity of the disturbance in the concentration of organic pollutants in the influent. The ratio of the influent flow rate to the influent flow rate reference value (e.g., 50% of the design flow rate of the wastewater treatment plant) indicates the degree of deviation of the current influent flow rate from the influent flow rate reference value. The larger the influent flow rate ratio, the greater the degree of change in the influent flow rate, the more drastic the relative fluctuation of the influent flow rate within the current preset interval, and the greater the intensity of the influent flow rate disturbance. This is the ratio of the inlet water temperature to a reference temperature value (e.g., 15°C). It indicates the degree of deviation of the current inlet water temperature from the reference value. The greater the degree of change in the inlet water temperature, the more drastic the relative fluctuation of the inlet water temperature within the current preset interval, and the greater the intensity of the inlet water temperature disturbance. , and Adding these three factors together gives the intensity of water quality disturbance at the current moment. The greater the intensity of water quality disturbance, the more severe the comprehensive fluctuations in the concentration, flow rate, and water temperature of the influent, and the greater the degree of load fluctuation. Accordingly, the operating strategy needs to be adjusted to maintain the stability of the treatment effect.

[0025] According to one embodiment of the present invention, in step S3, if the intensity of water quality disturbance is greater than or equal to a preset threshold (e.g., 1.5), a high-load response mechanism is triggered. That is, the combined fluctuation of the current influent concentration, flow rate, or water temperature exceeds the system's normal tolerance range. The system quickly activates an emergency operation strategy, temporarily abandoning some energy-saving targets and taking emergency control measures such as enhanced aeration, increased recirculation, and accelerated sludge discharge to cope with the high-intensity influent load impact and ensure that the effluent water quality meets the standards. For example, the historical dynamic optimization dissolved oxygen concentration reference value, historical equilibrium recirculation ratio, and historical sludge retention time of the most recent execution of the conventional optimization mode are obtained. The historical dynamic optimization dissolved oxygen concentration reference value is increased by 80% as the dynamic optimization dissolved oxygen concentration reference value, thereby enhancing aeration; the historical equilibrium recirculation ratio is increased by 50% as the equilibrium recirculation ratio, thereby increasing recirculation; and the historical sludge retention time is reduced by 50% as the sludge retention time, thereby accelerating sludge discharge.

[0026] According to one embodiment of the present invention, in step S4, if the intensity of water quality disturbance is less than a preset threshold, the system enters the normal optimization mode. That is, the current influent condition is within the normal fluctuation range that the system can withstand. The system enters the normal optimization mode and performs fine-tuning by dynamically optimizing parameters such as dissolved oxygen concentration reference value, balance reflux ratio and sludge retention time, so as to achieve a balance between energy saving and stable operation.

[0027] According to an embodiment of the present invention, in step S5, a reference value for dynamically optimized dissolved oxygen concentration representing optimized aeration energy consumption is determined based on the influent water quality parameters and the water quality parameters in the reaction tank.

[0028] Figure 3 An exemplary flowchart illustrating the calculation of dynamically optimized dissolved oxygen concentration reference values ​​according to an embodiment of the present invention is shown.

[0029] According to an embodiment of the present invention, step S5 includes: step S51, obtaining the influent chemical oxygen demand (COD) and influent flow rate based on the influent water quality parameters; step S52, obtaining a first function of the influent COD changing with time based on the influent COD within a current preset interval; step S53, obtaining a second function of the influent flow rate changing with time based on the influent flow rate within the current preset interval; step S54, obtaining the density of active microorganisms based on the water quality parameters in the reaction tank; step S55, obtaining the effective volume of the aerobic zone and the nitrate nitrogen concentration of the aerobic zone; step S56, determining a reference value for dynamically optimized dissolved oxygen concentration representing optimized aeration energy consumption through a logarithmic saturated response based on the first function, the second function, the preset interval, the density of active microorganisms, the effective volume of the aerobic zone, and the nitrate nitrogen concentration of the aerobic zone.

[0030] According to one embodiment of the present invention, the influent chemical oxygen demand (COD) values ​​measured in real time within the current preset interval are mathematically fitted to obtain a functional relationship between the influent COD and time, which is the first function. The influent flow rate values ​​measured in real time within the current preset interval are mathematically fitted to obtain a functional relationship between the influent flow rate and time, which is the second function. Based on the wastewater treatment plant design diagram, the effective volume of the aerobic zone represents the treatment capacity. The nitrate nitrogen concentration at the end of the aerobic zone is obtained. The promoting effect of dissolved oxygen concentration on the organic matter degradation rate and nitrification rate is not linearly infinitely increasing, but has a saturation upper limit. Further increasing the dissolved oxygen concentration has a negligible effect on the treatment effect, but energy consumption continues to increase. Therefore, a logarithmic saturation model is used to dynamically calculate the current dynamically optimized dissolved oxygen concentration reference value, thereby minimizing aeration energy consumption while ensuring effluent quality.

[0031] According to one embodiment of the present invention, a reference value for dynamically optimized dissolved oxygen concentration representing optimized aeration energy consumption is determined by logarithmic saturation response based on the first function, the second function, the preset interval time, the density of active microorganisms, the effective volume of the aerobic zone, and the nitrate nitrogen concentration of the aerobic zone, including: determining the reference value for dynamically optimized dissolved oxygen concentration at the current moment according to formula (1). , (1), in, Based on dissolved oxygen concentration, This represents the current nitrate nitrogen concentration in the aerobic zone. The baseline nitrate nitrogen concentration, For the first function, For the second function, The effective volume of the aerobic zone, The current density of active microorganisms. T is a fixed constant, T is the preset interval time, and t is the current time.

[0032] According to an embodiment of the present invention, in formula (1), The baseline dissolved oxygen concentration is the minimum oxygen supply available under any circumstances, for example, 2 mg / L. The ratio of nitrate nitrogen concentration in the aerobic zone to the baseline nitrate nitrogen concentration (e.g., 5 mg / L) represents the relative nitrate load ratio in the aerobic zone. A ratio greater than 1 indicates the accumulation of nitrification products, requiring increased aeration. A ratio less than or equal to 1 indicates insufficient nitrification, with the basic aeration already sufficient or slightly reduced. The integral of the product of the first function and the second function over the current preset interval time represents the total mass of organic pollutants entering the aerobic zone during the current preset interval time, i.e., the cumulative influent organic load. The product of the effective volume of the aerobic zone, the current density of active microorganisms, and a fixed constant (e.g., 1000) represents the total mass of active microorganisms in the aerobic zone, i.e., the microbial degradation capacity. The ratio of cumulative influent organic load to microbial degradation capacity represents the organic load borne by a unit of microorganism within the current preset interval. A higher ratio indicates a heavier influent organic load, meaning the microorganisms are overwhelmed and require increased dissolved oxygen concentration to accelerate degradation. Conversely, a higher ratio indicates that the microorganisms have spare capacity, and the dissolved oxygen concentration can be appropriately reduced to save energy, or that basic aeration is sufficient. and Multiplication, that is, coupling the relative nitrate loading ratio in the aerobic zone with the organic loading ratio, comprehensively represents the system's current total demand intensity for dissolved oxygen. When the total demand intensity increases, The logarithmic growth slows down, reflecting the saturation effect; that is, even if the load continues to increase, the dissolved oxygen concentration will not rise indefinitely, thus reducing over-aeration. and By multiplying these values, a dynamically optimized reference value for dissolved oxygen concentration can be obtained, which comprehensively quantifies the system's actual demand for dissolved oxygen, thereby optimizing aeration energy consumption.

[0033] In this way, the ratio of organic load pressure to system biodegradation capacity can be used, and the ratio can be weighted and corrected using the current degree of nitrification. This comprehensively quantifies the system's true demand for dissolved oxygen and transforms it into a dynamically optimized dissolved oxygen concentration reference value that meets treatment requirements while reducing aeration energy waste through a logarithmic saturation function.

[0034] According to an embodiment of the present invention, in step S6, a balance reflux ratio representing optimized reflux energy consumption is determined based on the water quality parameters in the reaction tank.

[0035] Figure 4A flowchart for calculating the equilibrium reflux ratio according to an embodiment of the present invention is shown as an example.

[0036] According to an embodiment of the present invention, step S6 includes: step S61, obtaining the ammonia nitrogen concentration at the inlet of the anoxic zone and the ammonia nitrogen concentration at the outlet of the anoxic zone based on the water quality parameters in the reaction tank; step S62, obtaining the oxidation-reduction potential of the anoxic zone and obtaining a reference value for the oxidation-reduction potential; step S63, determining the balance reflux ratio representing the optimized reflux energy consumption based on the ammonia nitrogen concentration at the inlet of the anoxic zone, the ammonia nitrogen concentration at the outlet of the anoxic zone, the oxidation-reduction potential, and the reference value for the oxidation-reduction potential.

[0037] According to one embodiment of the present invention, the ammonia nitrogen concentration at the inlet of the anoxic zone represents the nitrate nitrogen content after nitrification in the aerobic zone but before entering the anoxic zone for denitrification, representing the total amount of nitrogen source available for denitrification. The ammonia nitrogen concentration at the outlet of the anoxic zone represents the content of remaining unreduced nitrogen after the denitrification reaction in the anoxic zone, representing the actual degree of completion of the denitrification reaction. Oxidation-reduction potential (ORP) is a key indicator for measuring the suitability of the anaerobic / anoxic environment in the anoxic zone. The lower the ORP, the better the anoxic environment, which is more conducive to denitrifying bacteria using nitrate nitrogen as an electron acceptor for denitrification. A high ORP indicates an oxidizing environment, inhibiting denitrification. The reference value for ORP is taken as the standard potential of 50mV in the anoxic zone under complete denitrification conditions.

[0038] According to an embodiment of the present invention, step S63 includes: step S631, taking the ratio of the ammonia nitrogen concentration at the outlet of the anoxic zone to the ammonia nitrogen concentration at the inlet of the anoxic zone as a first ratio to measure the degree of ammonia nitrogen consumption along the path in the anoxic zone; step S632, taking the ratio of the oxidation-reduction potential to the reference value of the oxidation-reduction potential as a second ratio to represent the deviation of the normalized potential; step S633, taking the second ratio as a natural exponential function to obtain a nonlinear amplification factor representing the degree of deviation of the oxidation-reduction environment; step S634, multiplying the first ratio by the nonlinear amplification factor to determine the balanced reflux ratio representing the optimized reflux energy consumption.

[0039] According to one embodiment of the present invention, the equilibrium reflux ratio at the current moment can be determined based on the ammonia nitrogen concentration at the inlet of the anoxic zone, the ammonia nitrogen concentration at the outlet of the anoxic zone, the redox potential, and the redox potential reference value. According to the formula: ,in, This represents the current ammonia nitrogen concentration at the outlet of the anoxic zone. This represents the current ammonia nitrogen concentration at the entrance to the anoxic zone. This is a preset value. The redox potential at the current moment. Here is the reference value for the redox potential, and t is the current time. The first ratio is the ratio of the ammonia nitrogen concentration at the outlet of the anoxic zone to the ammonia nitrogen concentration at the inlet of the anoxic zone. It represents the degree of ammonia nitrogen consumption along the process in the anoxic zone, i.e., the denitrification efficiency. A smaller ratio indicates that the current reflux is sufficient, and excess nitrate nitrogen is being fully utilized, so the reflux ratio can be reduced. A larger ratio indicates insufficient reflux, with a large amount of nitrate nitrogen being discharged unused, so the reflux ratio needs to be increased. This is a preset value, for example, 0.001 mg / L. This is the ratio of the redox potential to the reference redox potential, i.e., the second ratio, which represents the deviation of the normalized potential, i.e., the degree to which the denitrification potential deviates from the standard state. The larger this ratio, the higher the potential deviation. The larger the value, i.e. the larger the nonlinear amplification factor, the more insufficient the anoxic environment, the inhibited denitrification, and the more the reflux ratio needs to be increased to improve the environment. The smaller the value, the more likely it is to be an anaerobic environment. The smaller the value, the better the anoxic environment is compared to the target, the better the denitrification conditions are, and the reflux ratio can be appropriately reduced. and Multiplying these values ​​yields the current equilibrium reflux ratio. When both denitrification efficiency and the anoxic environment are unfavorable, the reflux ratio is non-linearly amplified, prioritizing ensuring the effluent meets standards. When both are relatively ideal, the reflux ratio automatically decreases, thus optimizing reflux energy consumption. Specifically, by using the ammonia nitrogen concentration difference between the inlet and outlet of the anoxic zone as a basis to determine the adequacy of denitrification, and by using the deviation between the actual ORP and the reference value as a correction, the suitability of the anoxic environment is determined. These two factors are exponentially coupled, improving total nitrogen removal efficiency while reducing reflux energy consumption and minimizing dissolved oxygen interference caused by excessive reflux.

[0040] According to one embodiment of the present invention, in step S7, an electromagnetic flow meter or an ultrasonic flow meter is installed on the sludge discharge pipe to directly read the instantaneous flow value, that is, the residual sludge discharge flow rate.

[0041] According to one embodiment of the present invention, in step S8, the sludge retention time, representing the energy consumption for optimizing sludge treatment, is determined based on the influent water quality parameters and the residual sludge discharge flow rate.

[0042] Figure 5 A flowchart for calculating sludge retention time according to an embodiment of the present invention is shown as an example.

[0043] According to an embodiment of the present invention, step S8 includes: step S81, obtaining the influent suspended solids concentration and the influent total phosphorus concentration based on the influent water quality parameters; step S82, obtaining the total volume of the bioreactor; step S83, using the ratio of the influent suspended solids concentration to the influent total phosphorus concentration as a concentration ratio representing the relative loading relationship between carbon-source suspended solids and phosphorus in the influent; step S84, dividing the total volume of the bioreactor by the value of the residual sludge discharge flow rate as the theoretical residence time of sludge in the reactor under the current discharge flow rate condition; and step S85, multiplying the concentration ratio by the theoretical residence time to determine the sludge residence time representing the optimized sludge treatment energy consumption.

[0044] According to one embodiment of the present invention, the sludge retention time at the current moment can be determined based on the influent water quality parameters and the excess sludge discharge flow rate. According to the formula: ,in, The current concentration of suspended solids in the influent. This represents the current total phosphorus concentration in the influent. This is a preset value. This refers to the total volume of the biological reactor. Let t represent the current flow rate of the remaining sludge discharge. The concentration ratio is the ratio of influent suspended solids concentration to influent total phosphorus concentration, representing the relative loading relationship between carbon-source suspended solids and phosphorus in the influent. A larger ratio indicates that carbon sources far outweigh phosphorus, resulting in a greater potential for phosphorus adsorption and removal by suspended solids, and allowing for a longer sludge retention time. Conversely, a smaller ratio indicates a shortage of carbon sources, limited phosphorus removal, and a need to shorten the sludge retention time. This is a preset value, for example, 0.001 mg / L. This is the ratio of the total volume of the biological reactor to the excess sludge discharge flow rate, representing the theoretical residence time of the sludge in the reactor under the current discharge flow rate conditions. and Multiplying these values ​​yields the sludge retention time at the current moment. When carbon sources are abundant, the retention time is appropriately extended to allow polyphosphate-accumulating bacteria to fully utilize the carbon source and enhance phosphorus removal. When carbon sources are scarce, the retention time is shortened to reduce sludge treatment energy consumption. When sludge discharge operations change, the sludge retention time is automatically adjusted to dynamically match the sludge discharge strategy with the influent water quality, thereby optimizing sludge treatment energy consumption and reducing sludge treatment energy consumption while improving biological phosphorus removal efficiency.

[0045] According to one embodiment of the present invention, in step S9, the dynamically optimized dissolved oxygen concentration reference value, equilibrium reflux ratio, and sludge retention time are input into the wastewater treatment plant's central control system. The operating status of the aeration equipment, reflux pump, and sludge pump is adjusted in real time via a PLC or SCADA system. For example, the blower frequency converter, electric valve opening controller, reflux pump frequency converter control unit, and sludge pump frequency converter control unit are used to achieve dynamic optimization control of the wastewater treatment plant's energy consumption. If the dynamically optimized dissolved oxygen concentration reference value, equilibrium reflux ratio, and sludge retention time exceed the maximum control value of the control unit, the maximum control value is used for optimization control.

[0046] The wastewater treatment plant energy consumption dynamic optimization method based on water quality monitoring, according to an embodiment of the present invention, automatically distinguishes between high-load response mechanisms and conventional optimization modes by calculating the intensity of water quality disturbances and comparing them with preset thresholds. This reduces energy waste and uses real-time water quality data to drive precise control. It can dynamically optimize the three energy-consuming processes of aeration, recirculation, and sludge discharge based on water quality conditions. Specifically, by dynamically optimizing the dissolved oxygen concentration reference value, the balance recirculation ratio, and the sludge retention time, it accurately matches the actual water quality load, reducing the long-term high-energy-consumption operation of aeration equipment, recirculation pumps, and sludge pumps. When determining the dynamically optimized dissolved oxygen concentration reference value, a ratio can be calculated between the organic load pressure and the system's biodegradation capacity. This ratio is then weighted and corrected using the current nitrification level to comprehensively quantify the system's actual demand for dissolved oxygen. Finally, a logarithmic saturation function is used to transform this ratio into a dynamically optimized dissolved oxygen concentration reference value that both meets treatment requirements and reduces aeration energy waste.

[0047] Figure 6An exemplary block diagram of a wastewater treatment plant energy consumption dynamic optimization system based on water quality monitoring according to an embodiment of the present invention is shown. The system includes: a parameter acquisition module, used to deploy multi-parameter water quality monitoring units at the influent end of the wastewater treatment plant and each biological reactor to collect influent water quality parameters and reactor water quality parameters in real time; a water quality disturbance intensity module, used to determine the water quality disturbance intensity, which measures the degree of load fluctuation, at preset intervals based on the influent water quality parameters; a high load response mechanism module, used to trigger a high load response mechanism if the water quality disturbance intensity is greater than or equal to a preset threshold; a normal optimization mode module, used to enter a normal optimization mode if the water quality disturbance intensity is less than a preset threshold; and a dynamic optimization of dissolved oxygen concentration parameters. The system comprises the following modules: a reference value module for determining a dynamically optimized dissolved oxygen concentration (DOC) based on the influent water quality parameters and the water quality parameters in the reaction tank; a balance return ratio module for determining a balance return ratio based on the water quality parameters in the reaction tank; a waste sludge discharge flow rate module for acquiring the waste sludge discharge flow rate; a sludge retention time module for determining a sludge retention time based on the influent water quality parameters and the waste sludge discharge flow rate; and an adjustment module for inputting the dynamically optimized DOC reference value, the balance return ratio, and the sludge retention time into the wastewater treatment plant's central control system to adjust the operating status of the aeration equipment, return pump, and sludge discharge pump.

[0048] This invention can be a method, apparatus, system, and / or computer program product. The computer program product may include a computer-readable storage medium having computer-readable program instructions loaded thereon for performing various aspects of the invention.

[0049] Those skilled in the art should understand that the embodiments of the present invention described above and shown in the accompanying drawings are merely examples and do not limit the present invention. The objectives of the present invention have been fully and effectively achieved. The functions and structural principles of the present invention have been demonstrated and explained in the embodiments, and any variations or modifications may be made to the implementation of the present invention without departing from the stated principles.

Claims

1. A method for dynamic optimization of energy consumption in wastewater treatment plants based on water quality monitoring, characterized in that, include: Multi-parameter water quality monitoring units are deployed at the inlet of the wastewater treatment plant and in each biological reactor to collect influent water quality parameters and reactor water quality parameters in real time. Based on the influent water quality parameters, the intensity of water quality disturbance, which measures the degree of load fluctuation, is determined at preset intervals. If the intensity of the water quality disturbance is greater than or equal to a preset threshold, a high-load response mechanism is triggered; If the intensity of the water quality disturbance is less than a preset threshold, then the normal optimization mode is entered; Based on the influent water quality parameters and the water quality parameters in the reaction tank, a reference value for the dynamically optimized dissolved oxygen concentration representing the optimized aeration energy consumption is determined. Based on the water quality parameters in the reaction tank, determine the balance reflux ratio that represents the optimized reflux energy consumption; Obtain the discharge flow rate of the remaining sludge; Based on the influent water quality parameters and the residual sludge discharge flow rate, the sludge retention time, which represents the optimized energy consumption for sludge treatment, is determined. The dynamically optimized dissolved oxygen concentration reference value, the equilibrium reflux ratio, and the sludge retention time are input into the wastewater treatment plant's central control system to adjust the operating status of the aeration equipment, reflux pump, and sludge discharge pump.

2. The method for dynamic optimization of wastewater treatment plant energy consumption based on water quality monitoring according to claim 1, characterized in that, Based on the influent water quality parameters, the intensity of water quality disturbance, used to measure load fluctuations, is determined at preset intervals, including: Based on the influent water quality parameters, obtain the influent chemical oxygen demand, influent flow rate, and influent water temperature; Obtain the historical influent chemical oxygen demand at the start time of the current preset interval; Calculate the relative difference between the influent chemical oxygen demand and the historical influent chemical oxygen demand; Calculate the ratio of the inlet flow rate to the inlet flow rate reference value, and calculate the ratio of the inlet water temperature to the water temperature reference value; The relative difference, the influent flow rate ratio, and the water temperature ratio are added together to determine the water quality disturbance intensity, which measures the degree of load fluctuation.

3. The method for dynamic optimization of wastewater treatment plant energy consumption based on water quality monitoring according to claim 1, characterized in that, Based on the influent water quality parameters and the water quality parameters in the reaction tank, a reference value for the dynamically optimized dissolved oxygen concentration, representing the optimized aeration energy consumption, is determined, including: Based on the aforementioned influent water quality parameters, the influent chemical oxygen demand and influent flow rate are obtained; Based on the influent chemical oxygen demand within the current preset interval, obtain the first function of the change of influent chemical oxygen demand over time; Based on the inflow rate within the current preset interval, obtain a second function showing the change of inflow rate over time; The density of active microorganisms was obtained based on the water quality parameters in the reaction tank. Obtain the effective volume of the aerobic zone and the nitrate nitrogen concentration in the aerobic zone; Based on the first function, the second function, the preset interval time, the density of active microorganisms, the effective volume of the aerobic zone, and the nitrate nitrogen concentration of the aerobic zone, a reference value for dynamically optimized dissolved oxygen concentration representing optimized aeration energy consumption is determined through logarithmic saturation response.

4. The method for dynamic optimization of wastewater treatment plant energy consumption based on water quality monitoring according to claim 3, characterized in that, Based on the first function, the second function, the preset interval time, the density of active microorganisms, the effective volume of the aerobic zone, and the nitrate nitrogen concentration of the aerobic zone, a reference value for dynamically optimized dissolved oxygen concentration representing optimized aeration energy consumption is determined through logarithmic saturation response, including: According to the formula: Determine the dynamic optimal dissolved oxygen concentration reference value at the current moment. ,in, Based on dissolved oxygen concentration, This represents the current nitrate nitrogen concentration in the aerobic zone. The baseline nitrate nitrogen concentration, For the first function, For the second function, The effective volume of the aerobic zone, The current density of active microorganisms. T is a fixed constant, T is the preset interval time, and t is the current time.

5. The method for dynamic optimization of wastewater treatment plant energy consumption based on water quality monitoring according to claim 1, characterized in that, Based on the water quality parameters in the reaction tank, determine the equilibrium reflux ratio, which represents the optimized reflux energy consumption, including: Based on the water quality parameters in the reaction tank, the ammonia nitrogen concentration at the inlet of the anoxic zone and the ammonia nitrogen concentration at the outlet of the anoxic zone are obtained; Obtain the redox potential of the anoxic region and obtain a reference value for the redox potential; Based on the ammonia nitrogen concentration at the inlet of the anoxic zone, the ammonia nitrogen concentration at the outlet of the anoxic zone, the redox potential, and the reference value of the redox potential, a balanced reflux ratio representing optimized reflux energy consumption is determined.

6. The method for dynamic optimization of wastewater treatment plant energy consumption based on water quality monitoring according to claim 5, characterized in that, Based on the ammonia nitrogen concentration at the inlet of the anoxic zone, the ammonia nitrogen concentration at the outlet of the anoxic zone, the redox potential, and the reference value of the redox potential, a balanced reflux ratio representing optimized reflux energy consumption is determined, including: The ratio of the ammonia nitrogen concentration at the outlet of the anoxic zone to the ammonia nitrogen concentration at the inlet of the anoxic zone is used as the first ratio to measure the degree of ammonia nitrogen consumption along the way in the anoxic zone. The ratio of the redox potential to the redox potential reference value is used as a second ratio to represent the normalized potential deviation. By taking the natural exponential function of the second ratio, a nonlinear amplification factor representing the degree of deviation of the redox environment is obtained; Multiply the first ratio by the nonlinear amplification factor to determine the balanced reflux ratio that represents optimized reflux energy consumption.

7. The method for dynamic optimization of wastewater treatment plant energy consumption based on water quality monitoring according to claim 1, characterized in that, Based on the influent water quality parameters and the residual sludge discharge flow rate, the sludge retention time, representing the optimized energy consumption for sludge treatment, is determined, including: Based on the influent water quality parameters, obtain the influent suspended solids concentration and influent total phosphorus concentration; Obtain the total volume of the bioreactor; The ratio of the influent suspended solids concentration to the influent total phosphorus concentration is used as a concentration ratio representing the relative loading relationship between carbon-source suspended solids and phosphorus in the influent. The total volume of the bioreactor is divided by the residual sludge discharge flow rate to obtain the theoretical residence time of the sludge in the reactor under the current discharge flow rate conditions; the concentration ratio is multiplied by the theoretical residence time to determine the sludge residence time representing the optimized sludge treatment energy consumption.

8. A dynamic energy consumption optimization system for wastewater treatment plants based on water quality monitoring, used to execute the dynamic energy consumption optimization method for wastewater treatment plants based on water quality monitoring as described in any one of claims 1-7, characterized in that, include: The parameter acquisition module is used to deploy multi-parameter water quality monitoring units at the influent end of the wastewater treatment plant and in each biological reactor to collect influent water quality parameters and reactor water quality parameters in real time. The water quality disturbance intensity module is used to determine the water quality disturbance intensity, which measures the degree of load fluctuation, at preset intervals based on the influent water quality parameters. A high-load response mechanism module is used to trigger a high-load response mechanism if the intensity of the water quality disturbance is greater than or equal to a preset threshold. The normal optimization mode module is used to enter the normal optimization mode if the water quality disturbance intensity is less than a preset threshold. The dynamic optimization dissolved oxygen concentration reference value module is used to determine the dynamic optimization dissolved oxygen concentration reference value representing the optimized aeration energy consumption based on the influent water quality parameters and the water quality parameters in the reaction tank. The equilibrium reflux ratio module is used to determine the equilibrium reflux ratio, which represents the optimized reflux energy consumption, based on the water quality parameters in the reaction tank. The residual sludge discharge flow rate module is used to obtain the residual sludge discharge flow rate; The sludge retention time module is used to determine the sludge retention time representing the optimized energy consumption of sludge treatment based on the influent water quality parameters and the residual sludge discharge flow rate. The adjustment module is used to input the dynamically optimized dissolved oxygen concentration reference value, the balance reflux ratio, and the sludge retention time into the wastewater treatment plant's central control system to adjust the operating status of the aeration equipment, reflux pump, and sludge discharge pump.

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