Integrated partition denitrification method based on anaerobic ammonia oxidation reaction

Abstract

The invention belongs to the technical field of wastewater denitrification treatment, and particularly relates to an anaerobic ammonia oxidation reaction-based integrated partitioned denitrification method which comprises the following steps: S1, removing high-concentration organic matters and suspended matters in wastewater through coagulating sedimentation or chemical oxidation pretreatment to avoid inhibition on subsequent Anammox; s2, partitioning the integrated reactor, and setting a short-cut nitrification region and an Anammox reaction region; s3, enabling the effluent part of the Anammox reaction zone to flow back to the short-cut nitrification zone, supplementing nitrite and balancing the carbon nitrogen ratio; the Anammox granular sludge flows back to the reaction zone through the settling zone, and the biomass concentration and the reaction efficiency are maintained; s4, a secondary sedimentation tank or a built-in sedimentation zone is arranged to achieve mud-water separation, residual sludge is discharged, and it is guaranteed that effluent reaches the standard, and it is guaranteed that the denitrification efficiency is stable by dynamically adjusting dissolved oxygen of the short-cut nitrification zone and the pH value of the Anammox reaction zone.

Description

Technical Field

[0001] The present invention relates to the technical field of wastewater denitrification treatment, and particularly relates to an integrated partition denitrification method based on anaerobic ammonium oxidation reaction. Background Art

[0002] The integrated partition denitrification process based on anaerobic ammonium oxidation solves the problems of high energy consumption, carbon source dependence, and large floor area of traditional denitrification processes through partition cooperation and precise parameter regulation. It is particularly suitable for the large-scale treatment of high-ammonia-nitrogen and low-carbon-nitrogen-ratio wastewater and is one of the key technologies to achieve the "carbon neutrality" goal in the field of sewage treatment. The bacteria participating in the anaerobic ammonium oxidation process are called anaerobic ammonium oxidizing bacteria. Generally, anaerobic ammonium oxidizing bacteria are considered autotrophic bacteria, using carbon dioxide or carbonate as a carbon source, ammonium salt as an electron donor, and nitrite / nitrate as an electron acceptor. Anaerobic ammonium oxidizing bacteria (Anammox) are a type of bacteria belonging to the phylum Planctomycetes. "Red bacteria" is the common name for anaerobic ammonium oxidizing bacteria in the industry. Through biochemical reactions, they can convert the ammonia nitrogen contained in sewage into nitrogen gas for removal.

[0003] In the prior art, during integrated partition denitrification, the denitrification efficiency cannot be guaranteed to be stable. Therefore, we propose an integrated partition denitrification method based on anaerobic ammonium oxidation reaction to solve the above problems. Summary of the Invention

[0004] The purpose of the present invention is to solve the drawback that the denitrification efficiency cannot be guaranteed to be stable, and to propose an integrated partition denitrification method based on anaerobic ammonium oxidation reaction.

[0005] To achieve the above purpose, the present invention adopts the following technical scheme:

[0006] An integrated partition denitrification method based on anaerobic ammonium oxidation reaction includes the following steps:

[0007] S1. Remove high-concentration organic matter and suspended solids in the wastewater through coagulation sedimentation or chemical oxidation pretreatment to avoid inhibition of subsequent anaerobic ammonium oxidizing bacteria (Anammox);

[0008] S2. Partition the integrated reactor, and set up a shortcut nitrification zone and an Anammox reaction zone;

[0009] S3. Partially return the effluent of the Anammox reaction zone to the shortcut nitrification zone to supplement nitrite and balance the carbon-nitrogen ratio; return the Anammox granular sludge to the reaction zone through the sedimentation zone to maintain the biomass concentration and reaction efficiency;

[0010] S4. Set up a secondary sedimentation tank or an internal sedimentation zone to achieve mud-water separation, discharge the excess sludge, and ensure that the effluent meets the standards;

[0011] S5. Collect COD, ammonia nitrogen, and nitrite parameters in real time through sensors, combine with the LSTM neural network algorithm to predict the water quality fluctuation trend in the next 24 hours, and dynamically adjust the dissolved oxygen in the short-term nitrification zone and the pH value in the Anammox reaction zone to ensure stable denitrification efficiency.

[0012] S6. Use activated sludge simulation software to generate high-precision simulation data, train the model to optimize the hydraulic retention time and temperature parameters of the integrated reactor, and shorten the process commissioning cycle.

[0013] S7. Perform partition collaborative intelligent control, fault warning, and adaptive optimization.

[0014] Preferably, in S7, the partition collaborative intelligent control is as follows: By analyzing the ammonia nitrogen conversion rate in the short-term nitrification zone, automatically adjust the aeration volume and the mixed liquor reflux ratio. The reflux ratio is 30%-50%, and maintain the molar ratio of nitrite to ammonia nitrogen close to 1:1 to provide an ideal substrate for the Anammox reaction; Based on image recognition technology, monitor the particle size distribution of Anammox granular sludge, recommend the best sludge reflux strategy, and prevent the disintegration of granular sludge or the blockage of carrier biofilms.

[0015] Preferably, the fault warning and adaptive optimization are as follows: By monitoring the free ammonia and nitrite concentration thresholds, early warning of the risk of Anammox bacteria activity inhibition, and triggering emergency measures. For the influent fluctuation of high ammonia nitrogen wastewater, AI combines historical data to adaptively optimize the carbon source dosage to balance the synergistic denitrification efficiency of heterotrophic denitrification and autotrophic Anammox.

[0016] Preferably, in S1, remove high-concentration organic matter and suspended solids in the wastewater through coagulation precipitation or chemical oxidation pretreatment to avoid inhibiting the subsequent anaerobic ammonium oxidation bacteria (Anammox); Retain the ammonia nitrogen in the wastewater as the substrate for the Anammox reaction, and supplement nitrite or generate nitrite through short-term nitrification when necessary.

[0017] Preferably, in S2, the integrated reactor is partitioned, and a short-term nitrification zone and an Anammox reaction zone are set. Short-term nitrification zone: Under aerobic conditions, by controlling the dissolved oxygen (DO < 0.5mg / L) and short hydraulic retention time, oxidize part of the ammonia nitrogen to nitrite to avoid complete nitrification to produce nitrate; Anammox reaction zone: Under strict anaerobic conditions, Anammox bacteria use ammonia nitrogen as the electron donor and nitrite as the electron acceptor to directly convert it into nitrogen gas.

[0018] Preferably, in S4, a secondary sedimentation tank or an in-built sedimentation area is provided to achieve sludge-water separation, the excess sludge is discharged, and the effluent quality meets the standards. The effluent indicators are as follows: the total nitrogen removal rate reaches 80%-90%, and the concentrations of residual ammonia nitrogen and nitrite are both lower than 10 mg / L.

[0019] Preferably, in S2, the operating temperature of the Anammox reaction zone is 34-36 °C, and the pH is 7.0-8.0.

[0020] Preferably, in S5, the steps for dynamically adjusting the dissolved oxygen in the shortcut nitrification zone are as follows: install an on-line dissolved oxygen sensor and an ammonia nitrogen sensor, collect the data of the dissolved oxygen concentration and ammonia nitrogen concentration in the shortcut nitrification zone every 5 minutes to ensure the real-time nature of the data. Combine the shortcut nitrification target, and about 55% of the ammonia nitrogen is converted into nitrite. Set the dissolved oxygen control threshold to 0.3-0.5 mg / L. When the ammonia nitrogen concentration is higher than the set threshold, start the aeration equipment through the PLC controller to increase the dissolved oxygen to 0.5 mg / L to accelerate the activity of ammonia-oxidizing bacteria. When the ammonia nitrogen concentration drops to the target value, gradually reduce the aeration volume to make the dissolved oxygen stable at 0.3-0.4 mg / L to inhibit the activity of nitrite-oxidizing bacteria.

[0021] Preferably, the steps for dynamically adjusting the pH value of the Anammox reaction zone are as follows: install a high-precision pH probe in the Anammox reaction zone to monitor the pH fluctuation range in real time. The pH fluctuation range is 7.0-8.0. When the pH is lower than 7.0, automatically start the sodium bicarbonate dosing system, and dose 50-100 mg / L NaHCO3 for every 0.1 pH unit decrease to maintain an alkaline environment. Dynamically adjust the buffer dosing amount according to the influent ammonia nitrogen load and nitrite concentration, and increase the dosing amount by 20%-30% to offset the H + , generated by the Anammox reaction. When the pH rises abnormally, link the mixed liquor reflux system to introduce the weakly acidic effluent from the shortcut nitrification zone for neutralization. If the pH continues to get out of control, trigger the emergency acid addition module and fine-tune it at a gradient of 0.1 mL / L to avoid impacting the activity of Anammox bacteria.

[0022] Preferably, in S6, use the activated sludge simulation software BioWin to build an integrated reactor model, define the reactor structure, input the actual influent data, set the initial hydraulic retention time and temperature parameters, calibrate the model parameters to ensure that the error between the simulated value and the measured value is <10%. Then, conduct multi-scenario simulations, perform steady-state and dynamic simulations through the software, and generate a process data set covering different combinations of HRT (6-15 hours) and temperature (25-45 °C), including: steady-state data: the effluent TN, NH4 +-N concentration and sludge sedimentation performance; Dynamic data: Simulate the system response under extreme conditions such as inlet load fluctuations (±30%) and sudden temperature changes (±5°C / day); Normalize the simulation data to eliminate the dimensional difference, screen key characteristic variables as model inputs, and use the TN removal rate of the effluent as the optimization target. Adopt the LSTM neural network or random forest algorithm to establish a non-linear mapping relationship between temperature and denitrification performance. Input the optimized parameters into the simulation software for verification, compare the deviation between the simulated value and the predicted value, collect actual operation data, continuously update the model weights, establish a historical optimization case library, and recommend the best initial parameters through similarity matching to reduce the number of trial and error times.

[0023] Compared with the prior art, the advantages of the present invention are as follows:

[0024] Collect COD, ammonia nitrogen, and nitrite parameters in real time through sensors, combine with the LSTM neural network algorithm to predict the water quality fluctuation trend in the next 24 hours, and dynamically adjust the dissolved oxygen in the short-term nitrification zone and the pH value in the Anammox reaction zone to ensure stable denitrification efficiency.

[0025] By monitoring the free ammonia and nitrite concentration thresholds, early warning of the risk of Anammox bacteria activity inhibition is triggered, and emergency measures are taken. For the inlet fluctuations of high ammonia nitrogen wastewater, AI combines historical data to adaptively optimize the carbon source dosage to balance the synergistic denitrification efficiency of heterotrophic denitrification and autotrophic Anammox.

[0026] Install online dissolved oxygen sensors and ammonia nitrogen sensors, collect the dissolved oxygen concentration and ammonia nitrogen concentration data in the short-term nitrification zone every 5 minutes to ensure data real-time. Combine with the short-term nitrification target, about 55% of ammonia nitrogen is converted into nitrite. Set the dissolved oxygen control threshold to 0.3 - 0.5 mg / L. When the ammonia nitrogen concentration is higher than the set threshold, start the aeration equipment through the PLC controller to increase the dissolved oxygen to 0.5 mg / L to accelerate the activity of ammonia-oxidizing bacteria. When the ammonia nitrogen concentration drops to the target value, gradually reduce the aeration volume to keep the dissolved oxygen stable at 0.3 - 0.4 mg / L to inhibit the activity of nitrite-oxidizing bacteria.

[0027] Install a high-precision pH probe in the Anammox reaction zone to monitor the pH fluctuation range in real time. The pH fluctuation range is 7.0 - 8.0. When the pH is lower than 7.0, automatically start the sodium bicarbonate dosing system, and add 50 - 100 mg / L NaHCO3 for every 0.1 pH unit decrease to maintain an alkaline environment. Dynamically adjust the buffer dosing amount according to the inlet ammonia nitrogen load and nitrite concentration, and increase the dosing amount by 20% - 30% to offset the H generated by the Anammox reaction. +When the pH abnormally increases, the mixed liquor reflux system is linked to introduce the weakly acidic effluent from the shortcut nitrification zone for neutralization. If the pH continues to get out of control, the emergency acid addition module is triggered and fine-tuned at a gradient of 0.1 mL / L to avoid impacting the activity of Anammox bacteria;

[0028] The present invention ensures stable denitrification efficiency by dynamically adjusting the dissolved oxygen in the shortcut nitrification zone and the pH value in the Anammox reaction zone. Description of the Drawings

[0029] Figure 1 It is a flowchart of an integrated partition denitrification method based on anaerobic ammonium oxidation reaction proposed by the present invention. Detailed Embodiments

[0030] Next, the technical solutions in this embodiment will be clearly and completely described in conjunction with the drawings in this embodiment. Obviously, the described embodiments are only a part of the embodiments of this embodiment, rather than all the embodiments.

[0031] Embodiment 1

[0032] Refer to Figure 1 , an integrated partition denitrification method based on anaerobic ammonium oxidation reaction, including the following steps:

[0033] S1. Remove high-concentration organic matter and suspended solids in the wastewater through coagulation sedimentation or chemical oxidation pretreatment to avoid inhibiting the subsequent anaerobic ammonium oxidation bacteria (Anammox);

[0034] S2. Partition the integrated reactor, and set up a shortcut nitrification zone and an Anammox reaction zone;

[0035] S3. Partially reflux the effluent from the Anammox reaction zone to the shortcut nitrification zone to supplement nitrite and balance the carbon-nitrogen ratio; reflux the Anammox granular sludge to the reaction zone through the sedimentation zone to maintain the biomass concentration and reaction efficiency;

[0036] S4. Set up a secondary sedimentation tank or an internal sedimentation zone to achieve mud-water separation, discharge the excess sludge and ensure the effluent meets the standards;

[0037] S5. Real-time collect COD, ammonia nitrogen, and nitrite parameters through sensors, combine the LSTM neural network algorithm to predict the water quality fluctuation trend in the next 24 hours, and dynamically adjust the dissolved oxygen in the shortcut nitrification zone and the pH value in the Anammox reaction zone to ensure stable denitrification efficiency;

[0038] S6. Use activated sludge simulation software to generate high-precision simulation data, train the model to optimize the hydraulic retention time and temperature parameters of the integrated reactor, and shorten the process commissioning cycle;

[0039] S7. Conduct zonal collaborative intelligent control, fault warning and adaptive optimization.

[0040] In this embodiment, in S7, the zonal collaborative intelligent control is as follows: By analyzing the ammonia nitrogen conversion rate in the short-term nitrification zone, automatically adjust the aeration volume and the mixed liquor reflux ratio. The reflux ratio is 30%-50%, maintaining the molar ratio of nitrite to ammonia nitrogen close to 1:1 to provide an ideal substrate for the Anammox reaction; Based on image recognition technology, monitor the particle size distribution of Anammox granular sludge and recommend the best sludge reflux strategy to prevent the disintegration of granular sludge or the blockage of carrier biofilm.

[0041] In this embodiment, the fault warning and adaptive optimization are as follows: By monitoring the concentration thresholds of free ammonia and nitrite, early warning of the risk of Anammox bacteria activity inhibition is triggered, and emergency measures are taken. For the influent fluctuation of high ammonia nitrogen wastewater, AI combines historical data to adaptively optimize the carbon source dosage to balance the synergistic denitrification efficiency of heterotrophic denitrification and autotrophic Anammox.

[0042] In this embodiment, in S1, remove high-concentration organic matter and suspended solids in the wastewater through coagulation sedimentation or chemical oxidation pretreatment to avoid inhibiting the subsequent anaerobic ammonium oxidation bacteria (Anammox); retain the ammonia nitrogen in the wastewater as the substrate for the Anammox reaction, and supplement nitrite or generate nitrite through short-term nitrification when necessary.

[0043] In this embodiment, in S2, the integrated reactor is zoned, and a short-term nitrification zone and an Anammox reaction zone are set. Short-term nitrification zone: Under aerobic conditions, by controlling the dissolved oxygen (DO < 0.5mg / L) and short hydraulic retention time, partially oxidize ammonia nitrogen to nitrite to avoid complete nitrification to nitrate; Anammox reaction zone: Under strictly anaerobic conditions, Anammox bacteria use ammonia nitrogen as the electron donor and nitrite as the electron acceptor to directly convert it into nitrogen gas.

[0044] In this embodiment, in S4, set a secondary sedimentation tank or an internal sedimentation area to achieve mud-water separation, discharge the excess sludge and ensure the effluent meets the standards. Effluent index: The total nitrogen removal rate reaches 80%, and the remaining ammonia nitrogen and nitrite concentrations are both lower than 10mg / L.

[0045] In this embodiment, in S2, the operating temperature of the Anammox reaction zone is 34°C, and the PH is 7.0.

[0046] In this embodiment, in S5, the steps for dynamically adjusting the dissolved oxygen in the short-term nitrification zone are as follows: Install an on-line dissolved oxygen sensor and an ammonia nitrogen sensor, collect the dissolved oxygen concentration and ammonia nitrogen concentration data in the short-term nitrification zone every 5 minutes to ensure data real-time. Combining the short-term nitrification target, about 55% of ammonia nitrogen is converted into nitrite. Set the dissolved oxygen control threshold at 0.3 mg / L. When the ammonia nitrogen concentration is higher than the set threshold, start the aeration equipment through the PLC controller to increase the dissolved oxygen to 0.5 mg / L to accelerate the activity of ammonia-oxidizing bacteria. When the ammonia nitrogen concentration drops to the target value, gradually reduce the aeration volume to keep the dissolved oxygen stable at 0.3 mg / L and inhibit the activity of nitrite-oxidizing bacteria.

[0047] In this embodiment, the steps for dynamically adjusting the pH value in the Anammox reaction zone are as follows: Install a high-precision pH probe in the Anammox reaction zone to monitor the pH fluctuation range in real time. The pH fluctuation range is 7.0 - 8.0. When the pH is lower than 7.0, automatically start the sodium bicarbonate dosing system and add 50 mg / L NaHCO3 for every 0.1 pH unit decrease to maintain an alkaline environment. Dynamically adjust the buffer dosing amount according to the influent ammonia nitrogen load and nitrite concentration, and increase the dosing amount by 20% to offset the H + , generated by the Anammox reaction. When the pH rises abnormally, link the mixed liquor return system to introduce the weakly acidic effluent from the short-term nitrification zone for neutralization. If the pH continues to get out of control, trigger the emergency acid addition module and fine-tune it in a gradient of 0.1 mL / L to avoid impacting the activity of Anammox bacteria.

[0048] In this embodiment, in S6, use the activated sludge simulation software BioWin to build an integrated reactor model, define the reactor structure, input the actual influent data, set the initial hydraulic retention time and temperature parameters, calibrate the model parameters to ensure that the error between the simulated value and the measured value is <10%. Then conduct multi-scenario simulations, perform steady-state and dynamic simulations through the software, and generate a process data set covering different combinations of HRT (6 hours) and temperature (25°C), including: Steady-state data: Effluent TN, NH4 + -N concentration and sludge settling performance under different HRTs and temperatures; Dynamic data: System responses under extreme conditions such as simulated influent load fluctuations and sudden temperature changes; Normalize the simulation data to eliminate the dimension difference, screen key characteristic variables as model inputs, use the effluent TN removal rate as the optimization target, adopt the LSTM neural network or random forest algorithm to establish a non-linear mapping relationship between temperature and denitrification performance, input the optimized parameters into the simulation software for verification, compare the deviation between the simulated value and the predicted value, collect actual operation data, continuously update the model weights, establish a historical optimization case library, and recommend the best initial parameters through similarity matching to reduce the number of trial and errors.

[0049] Embodiment 2

[0050] An integrated partition denitrification method based on the anaerobic ammonium oxidation reaction, comprising the following steps:

[0051] S1. Remove high-concentration organic matter and suspended solids in the wastewater through coagulation precipitation or chemical oxidation pretreatment to avoid inhibiting subsequent anaerobic ammonium-oxidizing bacteria (Anammox);

[0052] S2. Partition the integrated reactor, and set up a shortcut nitrification zone and an Anammox reaction zone;

[0053] S3. Partially reflux the effluent of the Anammox reaction zone to the shortcut nitrification zone to supplement nitrite and balance the carbon-nitrogen ratio; reflux the Anammox granular sludge to the reaction zone through the sedimentation zone to maintain the biomass concentration and reaction efficiency;

[0054] S4. Set up a secondary sedimentation tank or an in-built sedimentation zone to achieve sludge-water separation, discharge the excess sludge and ensure that the effluent meets the standards;

[0055] S5. Collect COD, ammonia nitrogen, and nitrite parameters in real time through sensors, combine with the LSTM neural network algorithm to predict the water quality fluctuation trend in the next 24 hours, and dynamically adjust the dissolved oxygen in the shortcut nitrification zone and the pH value in the Anammox reaction zone to ensure stable denitrification efficiency;

[0056] S6. Use activated sludge simulation software to generate high-precision simulation data, train the model to optimize the hydraulic retention time and temperature parameters of the integrated reactor, and shorten the process commissioning cycle;

[0057] S7. Conduct partition collaborative intelligent control, fault warning and adaptive optimization.

[0058] In this embodiment, in S7, the partition collaborative intelligent control is specifically as follows: By analyzing the ammonia nitrogen conversion rate in the shortcut nitrification zone, automatically adjust the aeration volume and the mixed liquor reflux ratio. The reflux ratio is 30%-50%, and maintain the molar ratio of nitrite to ammonia nitrogen close to 1:1 to provide an ideal substrate for the Anammox reaction; Based on image recognition technology, monitor the particle size distribution of Anammox granular sludge, recommend the best sludge reflux strategy, and prevent the disintegration of granular sludge or the blockage of carrier biofilm.

[0059] In this embodiment, the fault warning and adaptive optimization are specifically as follows: By monitoring the free ammonia and nitrite concentration thresholds, early warning of the risk of Anammox bacteria activity inhibition, and triggering emergency measures. For the influent fluctuation of high ammonia nitrogen wastewater, AI combines historical data to adaptively optimize the carbon source dosage to balance the synergistic denitrification efficiency of heterotrophic denitrification and autotrophic Anammox.

[0060] In this embodiment, in S1, high-concentration organic matters and suspended solids in the wastewater are removed through coagulation sedimentation or chemical oxidation pretreatment to avoid inhibiting the subsequent anaerobic ammonium oxidation bacteria (Anammox); the ammonia nitrogen in the wastewater is retained as the substrate for the Anammox reaction, and nitrite is supplemented when necessary or generated through shortcut nitrification.

[0061] In this embodiment, in S2, the integrated reactor is partitioned, and a shortcut nitrification zone and an Anammox reaction zone are set up. Shortcut nitrification zone: Under aerobic conditions, by controlling the dissolved oxygen (DO < 0.5 mg / L) and short hydraulic retention time, part of the ammonia nitrogen is oxidized to nitrite to avoid complete nitrification to generate nitrate; Anammox reaction zone: Under strict anaerobic conditions, Anammox bacteria use ammonia nitrogen as the electron donor and nitrite as the electron acceptor to directly convert it into nitrogen gas.

[0062] In this embodiment, in S4, a secondary sedimentation tank or an internal sedimentation zone is set up to achieve mud-water separation, the excess sludge is discharged and the effluent quality is ensured to meet the standards. Effluent index: The total nitrogen removal rate reaches 85%, and the concentrations of the remaining ammonia nitrogen and nitrite are both lower than 10 mg / L.

[0063] In this embodiment, in S2, the operating temperature of the Anammox reaction zone is 35 °C, and the pH is 7.5.

[0064] In this embodiment, in S5, the steps for dynamically adjusting the dissolved oxygen in the shortcut nitrification zone are as follows: Install an on-line dissolved oxygen sensor and an ammonia nitrogen sensor, collect the dissolved oxygen concentration and ammonia nitrogen concentration data in the shortcut nitrification zone every 5 minutes to ensure the real-time nature of the data. Combining with the shortcut nitrification target, about 55% of the ammonia nitrogen is converted into nitrite, and the dissolved oxygen control threshold is set at 0.4 mg / L. When the ammonia nitrogen concentration is higher than the set threshold, the aeration equipment is started through the PLC controller to increase the dissolved oxygen to 0.5 mg / L to accelerate the activity of ammonia-oxidizing bacteria. When the ammonia nitrogen concentration drops to the target value, the aeration volume is gradually reduced to make the dissolved oxygen stable at 0.35 mg / L to inhibit the activity of nitrite-oxidizing bacteria.

[0065] In this embodiment, the steps for dynamically adjusting the pH value of the Anammox reaction zone are as follows: Install a high-precision pH probe in the Anammox reaction zone to monitor the pH fluctuation range in real time. The pH fluctuation range is 7.0 - 8.0. When the pH is lower than 7.0, the sodium bicarbonate dosing system is automatically started, and 70 mg / L of NaHCO3 is dosed for every 0.1 pH unit decrease to maintain an alkaline environment. The buffer dosing amount is dynamically adjusted according to the influent ammonia nitrogen load and nitrite concentration, and the dosing amount is increased by 25% to offset the H generated by the Anammox reaction. +, when the pH abnormally increases, the mixed liquor reflux system is linked to introduce the weakly acidic effluent from the short-cut nitrification zone for neutralization. If the pH continues to get out of control, the emergency acid addition module is triggered and fine-tuned at a gradient of 0.1 mL / L to avoid impacting the activity of Anammox bacteria.

[0066] In this embodiment, in S6, the integrated reactor model is built using the activated sludge simulation software BioWin. The reactor structure is defined, the actual influent data is input, the initial hydraulic retention time and temperature parameters are set, the model parameters are calibrated to ensure that the error between the simulated value and the measured value is <10%. Then, multi-scenario simulations are carried out, and steady-state and dynamic simulations are performed through the software to generate a process data set covering different combinations of HRT (10 hours) and temperature (35 °C), including: Steady-state data: the effluent TN, NH4 + -N concentrations and sludge sedimentation performance under different HRTs and temperatures; Dynamic data: the system responses under extreme conditions such as simulated influent load fluctuations and sudden temperature changes; The simulation data is normalized to eliminate the dimension difference, the key characteristic variables are selected as the model inputs, and the effluent TN removal rate is used as the optimization target. The LSTM neural network or random forest algorithm is used to establish the non-linear mapping relationship between temperature and denitrification performance. The optimized parameters are input into the simulation software for verification, the deviation between the simulated value and the predicted value is compared, the actual operation data is collected, the model weights are continuously updated, a historical optimization case library is established, and the best initial parameters are recommended through similarity matching to reduce the number of trial-and-error times.

[0067] Example Three

[0068] An integrated partition denitrification method based on anaerobic ammonium oxidation reaction, comprising the following steps:

[0069] S1. Remove the high-concentration organic matter and suspended solids in the wastewater through coagulation sedimentation or chemical oxidation pretreatment to avoid inhibiting the subsequent anaerobic ammonium oxidation bacteria (Anammox).

[0070] S2. Partition the integrated reactor, and set up a short-cut nitrification zone and an Anammox reaction zone.

[0071] S3. Partially reflux the effluent from the Anammox reaction zone to the short-cut nitrification zone to supplement nitrite and balance the carbon-nitrogen ratio; reflux the Anammox granular sludge to the reaction zone through the sedimentation zone to maintain the biomass concentration and reaction efficiency.

[0072] S4. Set up a secondary sedimentation tank or an internal sedimentation zone to achieve mud-water separation, discharge the excess sludge and ensure the effluent meets the standards.

[0073] S5. Real-time collect COD, ammonia nitrogen, and nitrite parameters through sensors, combine with the LSTM neural network algorithm to predict the water quality fluctuation trend in the next 24 hours, and dynamically adjust the dissolved oxygen in the short-cut nitrification zone and the pH value in the Anammox reaction zone to ensure stable denitrification efficiency;

[0074] S6. Use activated sludge simulation software to generate high-precision simulation data, train the model to optimize the hydraulic retention time and temperature parameters of the integrated reactor, and shorten the process commissioning cycle;

[0075] S7. Conduct zonal collaborative intelligent control, fault warning, and adaptive optimization.

[0076] In this embodiment, in S7, the zonal collaborative intelligent control is specifically as follows: By analyzing the ammonia nitrogen conversion rate in the short-cut nitrification zone, automatically adjust the aeration volume and the mixed liquor reflux ratio. The reflux ratio is 30%-50%, and maintain the molar ratio of nitrite to ammonia nitrogen close to 1:1 to provide an ideal substrate for the Anammox reaction; Based on image recognition technology, monitor the particle size distribution of Anammox granular sludge, and recommend the best sludge reflux strategy to prevent the disintegration of granular sludge or the blockage of carrier biofilms.

[0077] In this embodiment, the fault warning and adaptive optimization are specifically as follows: By monitoring the free ammonia and nitrite concentration thresholds, early warning of the risk of Anammox bacteria activity inhibition, and triggering emergency measures. For the influent fluctuation of high ammonia nitrogen wastewater, AI combines historical data to adaptively optimize the carbon source dosage to balance the synergistic denitrification efficiency of heterotrophic denitrification and autotrophic Anammox.

[0078] In this embodiment, in S1, remove high-concentration organic matter and suspended solids in the wastewater through coagulation sedimentation or chemical oxidation pretreatment to avoid inhibiting the subsequent anaerobic ammonium oxidation bacteria (Anammox); Retain the ammonia nitrogen in the wastewater as the substrate for the Anammox reaction, and supplement nitrite or generate nitrite through short-cut nitrification when necessary.

[0079] In this embodiment, in S2, the integrated reactor is partitioned, and a short-cut nitrification zone and an Anammox reaction zone are set. Short-cut nitrification zone: Under aerobic conditions, by controlling the dissolved oxygen (DO < 0.5mg / L) and short hydraulic retention time, oxidize part of the ammonia nitrogen to nitrite to avoid complete nitrification to generate nitrate; Anammox reaction zone: Under strictly anaerobic conditions, Anammox bacteria use ammonia nitrogen as the electron donor and nitrite as the electron acceptor to directly convert it into nitrogen gas.

[0080] In this embodiment, in S4, set a secondary sedimentation tank or an internal sedimentation area to achieve mud-water separation, discharge the excess sludge and ensure the effluent meets the standards. Effluent index: The total nitrogen removal rate reaches 90%, and the remaining ammonia nitrogen and nitrite concentrations are both lower than 10mg / L.

[0081] In this embodiment, in S2, the operating temperature of the Anammox reaction zone is 36 °C and the pH is 8.0.

[0082] In this embodiment, in S5, the steps for dynamically adjusting the dissolved oxygen in the shortcut nitrification zone are as follows: Install an on-line dissolved oxygen sensor and an ammonia nitrogen sensor, collect the dissolved oxygen concentration and ammonia nitrogen concentration data in the shortcut nitrification zone every 5 minutes to ensure data real-time. Combining the shortcut nitrification target, about 55% of ammonia nitrogen is converted into nitrite. Set the dissolved oxygen control threshold at 0.5 mg / L. When the ammonia nitrogen concentration is higher than the set threshold, start the aeration equipment through the PLC controller to increase the dissolved oxygen to 0.5 mg / L to accelerate the activity of ammonia-oxidizing bacteria. When the ammonia nitrogen concentration drops to the target value, gradually reduce the aeration volume to stabilize the dissolved oxygen at 0.4 mg / L and inhibit the activity of nitrite-oxidizing bacteria.

[0083] In this embodiment, the steps for dynamically adjusting the pH value of the Anammox reaction zone are as follows: Install a high-precision pH probe in the Anammox reaction zone to monitor the pH fluctuation range in real time. The pH fluctuation range is 7.0 - 8.0. When the pH is lower than 7.0, automatically start the sodium bicarbonate dosing system and add 100 mg / L NaHCO3 for every 0.1 pH unit decrease to maintain an alkaline environment. Dynamically adjust the buffer dosing amount according to the influent ammonia nitrogen load and nitrite concentration, and increase the dosing amount by 20% - 30% to offset the H + generated by the Anammox reaction. When the pH abnormally increases, link the mixed liquor return system to introduce the weakly acidic effluent from the shortcut nitrification zone for neutralization. If the pH continues to get out of control, trigger the emergency acid addition module and fine-tune it in a 0.1 mL / L gradient to avoid impacting the activity of Anammox bacteria.

[0084] In this embodiment, in S6, use the activated sludge simulation software BioWin to build an integrated reactor model, define the reactor structure, input the actual influent data, set the initial hydraulic retention time and temperature parameters, calibrate the model parameters to ensure that the error between the simulated value and the measured value is <10%. Then perform multi-scenario simulations, conduct steady-state and dynamic simulations through the software, and generate a process data set covering different combinations of HRT (15 hours) and temperature (45 °C), including: steady-state data: effluent TN, NH4 +-N concentration and sludge sedimentation performance; Dynamic data: System responses under extreme conditions such as simulated influent load fluctuations and sudden temperature changes are obtained; The simulation data is normalized to eliminate the dimension difference, and key characteristic variables are selected as model inputs, with the effluent TN removal rate as the optimization objective. The long short-term memory (LSTM) neural network or random forest algorithm is used to establish a non-linear mapping relationship between temperature and denitrification performance. The optimized parameters are input into the simulation software for verification, and the deviation between the simulated value and the predicted value is compared. Actual operation data is collected to continuously update the model weights. A historical optimization case library is established, and the best initial parameters are recommended through similarity matching to reduce the number of trial-and-error attempts.

[0085] As described above, it is only the preferred specific implementation manner of this embodiment, but the protection scope of this embodiment is not limited thereto. Any person skilled in the art within the technical scope disclosed by this embodiment, according to the technical solution and inventive concept of this embodiment, making equivalent substitutions or changes, shall be covered by the protection scope of this embodiment.

Claims

1. An integrated partition denitrification method based on the anaerobic ammonium oxidation reaction, characterized in that, It includes the following steps: S1. Remove high-concentration organic matters and suspended solids in the wastewater through coagulation sedimentation or chemical oxidation pretreatment to avoid inhibiting subsequent Anammox; S2. Divide the integrated reactor into zones, and set up a shortcut nitrification zone and an Anammox reaction zone; S3. Partially return the effluent from the Anammox reaction zone to the shortcut nitrification zone to supplement nitrite and balance the carbon-nitrogen ratio; return the Anammox granular sludge to the reaction zone through the sedimentation zone to maintain the biomass concentration and reaction efficiency; S4. Set up a secondary sedimentation tank or an in-built sedimentation zone to achieve solid-liquid separation, discharge the excess sludge and ensure that the effluent meets the standards; S5. Collect COD, ammonia nitrogen, and nitrite parameters in real time through sensors, combine with the LSTM neural network algorithm to predict the water quality fluctuation trend in the next 24 hours, and dynamically adjust the dissolved oxygen in the shortcut nitrification zone and the pH value in the Anammox reaction zone to ensure stable denitrification efficiency; S6. Use activated sludge simulation software to generate high-precision simulation data, train the model to optimize the hydraulic retention time and temperature parameters of the integrated reactor, and shorten the process commissioning period; S7. Conduct zone collaborative intelligent control, fault warning and adaptive optimization.

2. The integrated partition denitrification method based on anaerobic ammonium oxidation reaction according to claim 1, characterized in that In the above S7, the zone collaborative intelligent control is specifically as follows: by analyzing the ammonia nitrogen conversion rate in the shortcut nitrification zone, automatically adjust the aeration volume and the mixed liquor return ratio. The return ratio is 30%-50% to maintain the molar ratio of nitrite to ammonia nitrogen at 1:1, providing an ideal substrate for the Anammox reaction; based on image recognition technology, monitor the particle size distribution of the Anammox granular sludge, recommend the best sludge return strategy to prevent the disintegration of the granular sludge or the blockage of the carrier biofilm.

3. The integrated partition nitrogen removal method based on the anaerobic ammonium oxidation reaction according to claim 1, characterized in that The above fault warning and adaptive optimization are specifically as follows: by monitoring the concentration thresholds of free ammonia and nitrite, early warning of the risk of inhibiting the activity of Anammox bacteria and triggering emergency measures. For the influent fluctuation of high ammonia nitrogen wastewater, AI combines historical data to adaptively optimize the carbon source dosage to balance the synergistic denitrification efficiency of heterotrophic denitrification and autotrophic Anammox.

4. An integrated partition denitrification method based on the anaerobic ammonium oxidation reaction according to claim 1, characterized in that, In the above S1, remove high-concentration organic matters and suspended solids in the wastewater through coagulation sedimentation or chemical oxidation pretreatment to avoid inhibiting subsequent anaerobic ammonium oxidation bacteria; retain the ammonia nitrogen in the wastewater as the substrate for the Anammox reaction, and supplement nitrite when necessary or generate nitrite through shortcut nitrification.

5. An integrated partition denitrification method based on the anaerobic ammonium oxidation reaction according to claim 1, characterized in that, In the above S2, divide the integrated reactor into zones, and set up a shortcut nitrification zone and an Anammox reaction zone. Shortcut nitrification zone: under aerobic conditions, by controlling the dissolved oxygen and short hydraulic retention time, oxidize part of the ammonia nitrogen to nitrite to avoid complete nitrification to form nitrate; Anammox reaction zone: under strict anaerobic conditions, Anammox bacteria use ammonia nitrogen as the electron donor and nitrite as the electron acceptor to directly convert it into nitrogen gas.

6. The integrated partition denitrification method based on anaerobic ammonium oxidation reaction according to claim 1, characterized in that, In the above S4, set up a secondary sedimentation tank or an in-built sedimentation zone to achieve solid-liquid separation, discharge the excess sludge and ensure that the effluent meets the standards. Effluent index: the total nitrogen removal rate reaches 80%-90%, and the remaining ammonia nitrogen and nitrite concentrations are both lower than 10 mg / L.

7. An integrated partitioned nitrogen removal method based on the anaerobic ammonium oxidation reaction according to claim 1, characterized in that, In S2, the operating temperature of the Anammox reaction zone is 34 - 36 °C, and the pH is 7.0 - 8.

0.

8. The integrated partition denitrification method based on the anaerobic ammonium oxidation reaction according to claim 1, characterized in that In S5, the steps for dynamically adjusting the dissolved oxygen in the short-cut nitrification zone are as follows: Install an on-line dissolved oxygen sensor and an ammonia nitrogen sensor, collect the data of the dissolved oxygen concentration and ammonia nitrogen concentration in the short-cut nitrification zone every 5 minutes to ensure the real-time nature of the data. Combining with the short-cut nitrification target, 55% of ammonia nitrogen is converted into nitrite. Set the dissolved oxygen control threshold to 0.3 - 0.5 mg / L. When the ammonia nitrogen concentration is higher than the set threshold, start the aeration equipment through the PLC controller to increase the dissolved oxygen to 0.5 mg / L to accelerate the activity of ammonia-oxidizing bacteria. When the ammonia nitrogen concentration drops to the target value, gradually reduce the aeration volume to keep the dissolved oxygen stable at 0.3 - 0.4 mg / L to inhibit the activity of nitrite-oxidizing bacteria.

9. The integrated partition nitrogen removal method based on anaerobic ammonium oxidation reaction according to claim 1, wherein The steps for dynamically adjusting the pH value in the Anammox reaction zone are as follows: Install a high-precision pH probe in the Anammox reaction zone to monitor the pH fluctuation range in real time. The pH fluctuation range is 7.0 - 8.

0. When the pH is lower than 7.0, the sodium bicarbonate dosing system is automatically started, and 50 - 100 mg / L of NaHCO3 is dosed for every 0.1 pH unit decrease to maintain an alkaline environment. The dosing amount of the buffer is dynamically adjusted according to the influent ammonia nitrogen load and nitrite concentration, and the dosing amount is increased by 20% - 30% to offset the H generated by the Anammox reaction. + , when the pH abnormally increases, the mixed liquor reflux system is linked to introduce the weakly acidic effluent from the short-cut nitrification zone for neutralization. If the pH continues to get out of control, the emergency acid addition module is triggered and fine-tuned at a gradient of 0.1 mL / L to avoid impacting the activity of Anammox bacteria.

10. The integrated partition denitrification method based on the anaerobic ammonium oxidation reaction according to claim 1, wherein, In S6, an integrated reactor model is built using the activated sludge simulation software BioWin. The reactor structure is defined, actual influent data is input, initial hydraulic retention time and temperature parameters are set, and the model parameters are calibrated to ensure that the error between the simulated value and the measured value is <10%. Then, multi-scenario simulations are carried out, and steady-state and dynamic simulations are performed through the software to generate a process data set covering different combinations of HRT and temperature, including: Steady-state data: the effluent TN, NH4 + -N concentration and sludge sedimentation performance at different HRTs and temperatures; Dynamic data: the system response under extreme conditions such as simulated influent load fluctuations and sudden temperature changes; The simulation data is normalized to eliminate the dimensional difference, key characteristic variables are selected as model inputs, and the effluent TN removal rate is used as the optimization target. The LSTM neural network or random forest algorithm is used to establish a non-linear mapping relationship between temperature and denitrification performance. The optimized parameters are input into the simulation software for verification, the deviation between the simulated value and the predicted value is compared, actual operation data is collected, the model weights are continuously updated, a historical optimization case library is established, and the best initial parameters are recommended through similarity matching to reduce the number of trial-and-error attempts.

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