CN111533255B - Method for treating nitrogen-containing wastewater by using controllable bed biological filter - Google Patents

Method for treating nitrogen-containing wastewater by using controllable bed biological filter Download PDF

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CN111533255B
CN111533255B CN202010389168.1A CN202010389168A CN111533255B CN 111533255 B CN111533255 B CN 111533255B CN 202010389168 A CN202010389168 A CN 202010389168A CN 111533255 B CN111533255 B CN 111533255B
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于堃
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Lvyuan Beijing Environmental Equipment Co ltd
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    • CCHEMISTRY; METALLURGY
    • C02TREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
    • C02FTREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
    • C02F3/00Biological treatment of water, waste water, or sewage
    • C02F3/28Anaerobic digestion processes
    • C02F3/2853Anaerobic digestion processes using anaerobic membrane bioreactors
    • CCHEMISTRY; METALLURGY
    • C02TREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
    • C02FTREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
    • C02F2101/00Nature of the contaminant
    • C02F2101/10Inorganic compounds
    • C02F2101/16Nitrogen compounds, e.g. ammonia
    • CCHEMISTRY; METALLURGY
    • C02TREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
    • C02FTREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
    • C02F2209/00Controlling or monitoring parameters in water treatment
    • C02F2209/10Solids, e.g. total solids [TS], total suspended solids [TSS] or volatile solids [VS]
    • CCHEMISTRY; METALLURGY
    • C02TREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
    • C02FTREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
    • C02F2209/00Controlling or monitoring parameters in water treatment
    • C02F2209/16Total nitrogen (tkN-N)
    • CCHEMISTRY; METALLURGY
    • C02TREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
    • C02FTREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
    • C02F2305/00Use of specific compounds during water treatment
    • C02F2305/06Nutrients for stimulating the growth of microorganisms

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Abstract

The invention relates to a method for treating nitrogen-containing wastewater by using a controllable bed biofilter, which utilizes the controllable bed biofilter to execute in-situ multiple denitrification reaction of nitrate nitrogen denitrification-nitrate nitrogen incomplete denitrification to generate nitrite nitrogen-anaerobic ammonia oxidation, realizes deep denitrification of urban wastewater, reduces carbon source input, saves equipment floor area and improves economic benefit of wastewater treatment.

Description

Method for treating nitrogen-containing wastewater by using controllable bed biological filter
Technical Field
The invention relates to the field of wastewater treatment, in particular to a method for treating nitrogen-containing wastewater by using a controllable bed biological filter.
Background
The urbanization process is accelerated, so that the wastewater discharge intensity and the pollutant discharge amount are continuously increased, and particularly, the discharge of nitrogen, phosphorus and other nutrient elements is increased. The increase of the discharge amount of nitrogen in the wastewater not only aggravates the eutrophication of the water body, but also has adverse effects on aquatic organisms and human health, and the pollution of nitrogen in the water body becomes an increasingly serious environmental problem in the current society.
The denitrification technology is a widely applied wastewater denitrification process, heterotrophic denitrifying bacteria use an external carbon source as an electron donor to remove NO under the anoxic condition 3 - Reduction to N 2 And finally, total nitrogen removal is realized. The traditional biological denitrification method has large occupied area, high operation cost and low efficiency, and the application of the traditional biological denitrification method is limited; the deep bed denitrification filter tank developed on the basis is widely applied to the high-efficiency deep denitrification process of wastewater due to small floor area, flexible operation and high automation degree, but the deep bed denitrification filter tank also has the problems of low hydraulic load, easy blockage, low filtering speed, easy filter material loss caused by backwashing, falling of a biological membrane and the like, and influences the effluent effect and the water quality.
Therefore, the existing wastewater denitrification process is usually limited to the denitrification by adopting a single denitrification reaction, and the denitrification effect and the economic benefit are easily limited. In view of the above, the present invention provides a method for treating nitrogen-containing wastewater based on in-situ multiple denitrification reactions, so as to solve the above problems in the prior art.
Disclosure of Invention
The invention aims to provide a method for treating nitrogen-containing wastewater by using a controllable bed biofilter, which overcomes the defects of the traditional denitrification process and the deep bed denitrification process, not only can realize the deep denitrification of urban wastewater and ensure the effluent effect and water quality, but also can reduce the carbon source input, save the floor area of equipment, avoid the shedding of a biofilm without backwashing, and comprehensively improve the economic benefit of wastewater treatment.
In order to achieve the above purpose of the present invention, the following technical solutions are adopted:
a method for treating nitrogen-containing wastewater by using a controlled bed biofilter, comprising the following steps:
(1) starting a system to hang membranes: inoculating the return sludge of the secondary sedimentation tank to the quartz sand filler of the controllable bed biological filter, introducing the effluent continuous flow biofilm formation of the secondary sedimentation tank, adding a carbon source to maintain COD/NO 3 - -N is between 1.9 and 2.1: 1, preferably 2:1, controlling the continuous flow film hanging in a first stage without carrying out gas stripping operation, maintaining an anaerobic environment, and carrying out intermittent gas stripping in a second stage, so as to form a biological film comprising complete denitrifying bacteria, incomplete denitrifying bacteria and anaerobic ammonium oxidation bacteria on the surface of the filler quartz sand;
(2) denitrification: nitrogen-containing wastewater is continuously fed into the filter for denitrification, and a carbon source is added to maintain COD/NO 3 - -N is between 2.8 and 3.0: 1, preferably 2.9:1, and simultaneously intermittently stripping gas, controlling dissolved oxygen in the pool to be below 0.2mg/L and ORP to be in the range of-400 to-500 mv and-200 to-250 mv alternately, thereby performing in-situ multiple denitrification reaction of nitrate nitrogen denitrification-nitrate nitrogen incomplete denitrification to generate nitrite nitrogen-anaerobic ammonia oxidation denitrification on the biomembrane of the quartz sand;
(3) effluent water backflow: the denitrification effluent in the step (2) flows back to enter the controllable bed biological filter again for secondary denitrification; preferably, the effluent reflux ratio is 100% to 300%, more preferably 200%.
The method controls the surface of the quartz sand to form a biological film comprising complete denitrifying bacteria, incomplete denitrifying bacteria and anaerobic ammonium oxidation bacteria from outside to inside, and adjusts COD/NO 3 - The method comprises the following steps of establishing a proper denitrification reaction microenvironment according to parameters such as-N, dissolved oxygen and ORP, carrying out nitrate nitrogen denitrification-nitrate nitrogen incomplete denitrification to generate nitrite nitrogen-anaerobic ammonia oxidation denitrification in-situ multiple denitrification reaction on the nitrogenous wastewater from outside to inside on the biomembrane, and simultaneously combining effluent backflow secondary denitrification, so that the nitrogen content of the wastewater can be effectively reduced, the quality of effluent water is ensured, the carbon source input amount can be reduced, the equipment floor area is saved, and the economic benefit of wastewater treatment is improved.
Specifically, firstly, the quartz sand with rough and porous surface and rich hydrophilic groups is used as a film forming material, so that the film forming amount of a biological film can be ensured, and the stable film forming is maintained and is not easy to fall off; meanwhile, the porosity of the quartz sand can reach 0.42 percent, and the quartz sand is suitable for coexistence of aerobic and anaerobic microorganism forms of a biological film. And the carbon source adding proportion is controlled during the biofilm formation, the anaerobic environment is maintained without gas stripping in the first stage of the biofilm formation, and the intermittent gas stripping in the second stage of the biofilm formation promotes the formation of a biofilm containing complete denitrifying bacteria, incomplete denitrifying bacteria and anaerobic ammonium oxidation bacteria on the surface of quartz sand, so that the coexistence of various denitrification forms of the biofilm is ensured.
Secondly, the method controls COD/NO in the process of denitrification of wastewater 3 - The parameters of-N, dissolved oxygen, ORP and the like create a microenvironment suitable for the wastewater to carry out in-situ multiple denitrification reaction on the surface of the biological membrane for the controllable bed biological filter. After the nitrogen-containing wastewater enters the filter tank, the outer side of the biological membrane is contacted with the nitrogen-containing wastewater, the environmental condition is consistent with the control condition of the biological filter tank, an anoxic membrane is formed, microorganisms mainly comprise denitrifying bacteria, short-range denitrifying bacteria and the like, and the nitrogen-containing wastewater is subjected to complete denitrification reaction and incomplete denitrification reaction; and with the continuous proliferation of microorganisms, the thickness of the biomembrane is continuously increased, the inside of the biomembrane, which can not be permeated by oxygen, is converted into an anaerobic state to form an anaerobic membrane, the microorganisms are mainly anaerobic ammonium oxidation bacteria, and the nitrogen-containing wastewater is subjected to anaerobic ammonium oxidation reaction inside the biomembrane, so that in-situ multiple denitrification reaction of the wastewater on the quartz sand biomembrane is realized. This multiple denitrification reaction of normal position can carry out degree of depth denitrogenation to nitrogenous waste water, guarantees out water effect and play water quality, simultaneously, compares with current denitrogenation technique, and it can save about 40% carbon source to owing to need not to set up denitrification unit and anaerobic ammonium oxidation unit respectively, practice thrift equipment occupation of land space, thereby reduce cost improves waste water treatment economic benefits.
In some embodiments, the method of the present invention further defines the controllable-bed biofilter as a deep-bed denitrification filter. Preferably, the width-depth ratio of the main body of the controllable bed biological filter is 1: 2.0-2.5, and the depth of the filter is 5.5-6.5 m; more preferably, the width-depth ratio of the main body of the controllable bed biological filter is 1:2.2, and the depth of the filter is 6.0 m.
The method of the invention adopts the deep bed denitrification filter tank in a limited way, and has the advantages of small floor area, flexible operation, adjustable C/N ratio, high automation degree and the like. Meanwhile, continuous water inlet and intermittent ventilation are adopted during denitrification, so that the problems of easy blockage, low filtering speed and the like of the deep bed denitrification filter are effectively avoided, the head loss is greatly reduced, the wastewater treatment efficiency is improved, meanwhile, the back washing is not required to be stopped, the filter material loss and the falling of a biological membrane are not easily caused, and a water tank required during washing is not required to be additionally constructed.
In some specific embodiments, the invention further defines quartz sand parameters for facilitating the formation of a biofilm suitable for multiple denitrification reactions on the surface of the quartz sand, for example, the invention defines the particle size of the quartz sand to be 1.2-2.0 mm, preferably 1.5mm, and the specific surface area of the quartz sand to be 180-220 m 2 Per g, preferably 200m 2 /g。
In some embodiments, the inoculation concentration of the return sludge is 2800-3200 mg/L, and the hydraulic load of the effluent of the secondary sedimentation tank entering the filter tank is 70-100 m 3 /m 2 D, the hydraulic retention time is 0.7-1.0 h.
In some specific embodiments, the inoculation concentration of the return sludge is 3000mg/L, and the hydraulic load of the effluent of the secondary sedimentation tank entering the filter tank is 90m 3 /m 2 D, hydraulic retention time of 0.8 h.
In some embodiments, the water inlet speed of the secondary sedimentation tank in the step (1) is 3.0-4.5 m/h, preferably 4 m/h.
In some embodiments, the first phase in step (1) lasts for 5-7 days, and the second phase lasts from the end of the first phase to the end of biofilm formation.
In some specific embodiments, the biofilm formation in step (1) lasts for 33 to 37 days, preferably 35 days.
The method provided by the invention makes the aforementioned limitations on the water inlet speed and the gas stripping mode, is beneficial to the establishment of a basic membrane on the surface of quartz sand by microorganisms, and then naturally screens denitrifying bacteria and anaerobic ammonium oxidation bacteria to improve the biomass of the membrane.
In some embodiments, the intermittent gas stripping frequency in the step (2) is controlled to be 0.4-0.6 h/6h, the retention time is 5.4-5.6 h, the interception speed is 3.0-4.5 m/h, and the interception area is 5.5-6.5 m 2 And/or removing suspended matters synchronously with nitrogen removal.
Preferably, the intermittent gas stripping frequency in the step (2) is controlled to be 0.5h/6h, the retention time is 5.5h, the interception speed is 4.0m/h, and the interception area is 5.5-6.5 m 2 Per set, preferably 6m 2 And/or removing suspended matters synchronously with nitrogen removal.
In the method, the stripping and interception parameters in the step (2) are limited in the specific embodiment, and the tank body can realize the deep interception of suspended matters in the whole filter tank under the condition of not stopping nitrogen removal.
In some specific embodiments, the method takes the ammonia nitrogen, the nitrate nitrogen, the ORP in the filter, the amount of the carbon source added and the COD of the outlet water of the filter as input values, and takes the amount of the carbon source added as an output result, and calculates the carbon source adding amount in the step (1) and/or the step (2) based on an intelligent algorithm of a GBDT gradient boosting decision tree.
Heterotrophic denitrification and autotrophic denitrification both require a carbon source as an electron donor to realize denitrification, insufficient denitrification can be caused by too little carbon source, TN does not reach the standard, and excessive carbon source is easy to cause the standard exceeding of COD of effluent. In the above embodiment, the method of the present invention limits the calculation of the carbon source input amount by the intelligent algorithm, and can accurately input in real time, thereby avoiding the problems caused by too much or too little carbon source input.
In some embodiments, the nitrogen-containing wastewater treated according to the invention is effluent from a secondary sedimentation tank of a wastewater treatment plant, the total nitrogen of which is not up to standard.
In some embodiments, the intelligent algorithm specifically includes:
setting a training set sample: t { (x) 1 ,y 1 ),(x 2 ,y 2 ),…,(x m ,y m ) The maximum iteration times is T, a loss function L and the output is a strong learner f (x);
initialization weak learning device
Figure GDA0003694144790000061
Wherein i is a sample, the loss function is L, and c is the mean value of the sample y;
for iteration number T ═ 1,2,3, …, T (where T is the maximum iteration number):
1) for sample i ═ 1,2,3, …, m, a negative gradient was calculated
Figure GDA0003694144790000062
2) By using (x) i ,r ti ) Fitting a CART regression tree with i equal to 1,2,3, … and m to obtain the t regression tree, wherein the corresponding leaf node area is Rtj, and J is equal to 1,2,3, … and J. Wherein J is the number of leaf nodes of the regression tree t;
3) for leaf area J equal to 1,2,3, …, J, the best fit value is calculated
Figure GDA0003694144790000063
Figure GDA0003694144790000071
4) Updating strong learning device
Figure GDA0003694144790000072
Wherein I is an error;
obtaining a strong learner as an output
Figure GDA0003694144790000073
Figure GDA0003694144790000074
Advantageous effects
Compared with the prior art, the invention has the beneficial effects that:
(1) the method adopts a controllable bed biological filter to create a low dissolved oxygen microenvironment beneficial to denitrification reaction, utilizes a biomembrane containing complete denitrifying bacteria, incomplete denitrifying bacteria and anaerobic ammonium oxidation bacteria to execute in-situ multiple denitrification reaction of nitrate nitrogen denitrification-nitrate nitrogen incomplete denitrification to generate nitrite nitrogen-anaerobic ammonium oxidation, realizes the deep denitrification of urban wastewater, removes suspended solids SS, and ensures that the water quality of effluent reaches the first-class A (total nitrogen is less than or equal to 15mg/L) standard or the standard that the total nitrogen is less than or equal to 10mg/L specified in Beijing City. Meanwhile, the method can save 40% of carbon sources, does not need to be provided with a denitrification unit and an anaerobic ammonia oxidation unit respectively, saves the occupied space of equipment, reduces the cost and improves the economic benefit of wastewater treatment.
(2) Compared with the whole tank back washing of the deep bed denitrification filter tank, the strength is generally 5-6L/(m) 2 S), the air stripping frequency of the controllable bed biofilter is reduced, and the number of microorganisms is effectively ensured; and a backwashing wastewater pool is not required to be additionally arranged, the occupied space is compact, the space is saved by 70 percent, the construction cost is reduced, and the reconstruction and the extension are easy; meanwhile, the controllable bed biological filter does not need to be backwashed in the whole production halt process in the normal operation process, the energy consumption is saved by 30 percent, the equipment is continuously operated, the efficiency is high, and the operation and maintenance cost is low.
(3) According to the method, the carbon source is accurately fed in real time through an intelligent algorithm, the situation that denitrification is insufficient and TN is not up to standard due to too little carbon source is avoided, the excessive carbon source is easy to cause the excessive COD of the effluent, and the NO of the wastewater in an anaerobic environment is guaranteed 3 - Oxidizing by using an external carbon source to obtain energy required by self life survival and simultaneously oxidizing NO x - Reduction of-N to N 2
Detailed Description
Embodiments of the present invention will be described in detail below with reference to examples, but it will be understood by those skilled in the art that the following examples are only illustrative of the present invention and should not be construed as limiting the scope of the present invention. The examples, in which specific conditions are not specified, were conducted under conventional conditions or conditions recommended by the manufacturer. The reagents or instruments used are not indicated by the manufacturer, and are all conventional products commercially available.
Example 1 start-up biofilm culturing of a controlled bed biofilter
The controllable bed biological filter has wide main body: the depth is 1:2.2, the filter filling material is 1.2-2.0 mm, and the specific surface area is 200m 2 Quartz sand per g, depth of filter bed 6.0m, carbon source according to COD/NO 3 - -N is 2:1, adding the mixture to control the excessive growth of heterotrophic bacteria, and simultaneously forming denitrifying bacteria and anaerobic ammonium oxidation bacteria to ensure the coexistence of various denitrification forms of the biomembrane.
Starting the process for 35 days, inoculating the returned sludge in a secondary sedimentation tank, wherein the concentration of the inoculated sludge is 3000mg/L, discharging the water treated by the secondary sedimentation tank into a controllable bed biological filter, and the hydraulic load is 90m 3 /m 2 D, controlling the hydraulic retention time to be 0.8 h; and (2) adopting a continuous flow biofilm formation mode with the designed flow rate of 4.0m/h, continuously feeding water for 1-5 days after biofilm formation starting, but not carrying out gas stripping operation, after a basic biofilm is constructed in a pure anaerobic environment, continuously feeding water for 6-35 days after biofilm formation starting, simultaneously carrying out intermittent gas stripping operation, naturally screening anaerobic and denitrifying bacteria, improving biomass, and forming a composite biofilm rich in complete denitrifying bacteria, incomplete denitrifying bacteria and anaerobic ammonia oxidizing bacteria on the surface of quartz sand.
Example 2 deep denitrification and synchronous SS removal in a controlled bed biofilter
After the membrane formation is successful in the embodiment 1, the controllable bed biological filter tank normally operates, the system controls continuous water inlet (the effluent of the secondary sedimentation tank of the wastewater treatment plant with the total nitrogen not reaching the standard), the intermittent air stripping is performed, the air stripping frequency is controlled to be 0.5h/6h, the retention time is 5.5h, the interception speed is 4.0m/h, and the interception area is 6m 2 The ORP in the tank body is alternately realized in the range of-400-500 mv to-200-250 mv, and the dissolved oxygen is controlled below 0.2mg/L for denitrification.
And adding a carbon source, fully mixing the wastewater and the carbon source, then slowly penetrating through the quartz sand filter material, and carrying out complete denitrification reaction, incomplete denitrification reaction and anaerobic ammoxidation reaction by utilizing a surface biomembrane of the carbon source from outside to inside, so as to reduce the nitrogen content of the wastewater, and meanwhile, intercepting solid matters in the depth of the filter tank, thereby realizing the function of removing suspended solids.
Example 3 carbon dosing System Regulation in a controlled bed biofilter
On the basis of an automatic control system of a controllable bed biological filter, an intelligent algorithm based on a GBDT gradient lifting decision tree is designed to calculate the carbon source adding amount in the processes of biofilm formation and denitrification (examples 1 and 2).
GBDT (gradient Boosting decision Tree) is an iterative decision tree algorithm, which is composed of a plurality of decision trees, and the conclusions of all the trees are accumulated to be used as the output result of a model. The ammonia nitrogen and the nitrate nitrogen in the inlet water of the controllable bed biological filter, the ORP in the system, the amount of the external carbon source and the COD concentration of the outlet water are used as input values, and the amount of the external carbon source is used as an output result. The specific algorithm is as follows:
setting a training set sample: t { (x) 1 ,y 1 ),(x 2 ,y 2 ),…,(x m ,y m ) The maximum iteration times is T, and the output is a strong learner f (x);
initialization weak learning device
Figure GDA0003694144790000091
Where i is the sample, L is the loss function, and c is the mean of the sample outputs y.
For the iteration number T ═ 1,2,3, …, T:
1) for sample i ═ 1,2,3, …, m, a negative gradient was calculated:
Figure GDA0003694144790000101
2) by using (x) i ,r ti ) Fitting a CART regression tree with i equal to 1,2,3, … and m to obtain the t regression tree, wherein the corresponding leaf node area is Rtj, and J is equal to 1,2,3, … and J. Wherein J is the number of leaf nodes of the regression tree t.
3) For leaf area J equal to 1,2,3, …, J, the best fit value is calculated:
Figure GDA0003694144790000102
4) updating strong learning device
Figure GDA0003694144790000103
Obtaining strong learner f (x) expression as output
Figure GDA0003694144790000104
EXAMPLE 4 effluent Return to controlled bed biofilter
Example 2 denitrification of the effluent: the effluent reflux ratio is 200%, and nitrite nitrogen and nitrate nitrogen remained in the effluent enter the system again through reflux to carry out secondary deep reaction, so that the effluent total nitrogen is ensured to reach the standard. The total nitrogen of the effluent of the secondary sedimentation tank is further removed by 5mg/L through denitrification and interception of the controllable bed biological filter, the concentration of the total nitrogen of the effluent of the controllable bed biological filter is lower than 5mg/L, the SS of the effluent is lower than 10mg/L, and the effluent stably reaches the first-class A discharge standard of pollutant discharge Standard of municipal wastewater treatment plant (GB 18918-2002).
Finally, it should be noted that: the above embodiments are only used to illustrate the technical solution of the present invention, and not to limit the same; while the invention has been described in detail and with reference to the foregoing embodiments, it will be understood by those skilled in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the technical features may be equivalently replaced; and the modifications or the substitutions do not make the essence of the corresponding technical solutions depart from the scope of the technical solutions of the embodiments of the present invention.

Claims (9)

1. A method for treating nitrogen-containing wastewater by using a controlled bed biofilter is characterized by comprising the following steps:
(1) starting a system to hang membranes: inoculating the return sludge of the secondary sedimentation tank to the quartz sand filler of the controllable bed biological filter, introducing the effluent continuous flow biofilm formation of the secondary sedimentation tank, adding a carbon source to maintain COD/NO 3 - -N is between 1.9 and 2.1: 1 range, and controlling the first stage of continuous flow film hanging without air stripping operationMaintaining an anaerobic environment, and performing intermittent gas stripping at the second stage so as to form a biological film comprising complete denitrifying bacteria, incomplete denitrifying bacteria and anaerobic ammonium oxidation bacteria on the surface of the filler quartz sand from outside to inside;
(2) denitrification: nitrogen-containing wastewater is continuously fed into the filter for denitrification, and a carbon source is added to maintain COD/NO 3 - -N is between 2.8 and 3.0: 1, simultaneously intermittently stripping gas, and controlling dissolved oxygen in the pool to be below 0.2mg/L and ORP to be-400-500 mv and-200-250 mv alternately, so as to carry out in-situ multiple denitrification reaction of nitrate nitrogen denitrification-nitrate nitrogen incomplete denitrification to generate nitrite nitrogen-anaerobic ammonia oxidation denitrification on the biomembrane of the quartz sand from outside to inside;
(3) effluent water backflow: the denitrification effluent in the step (2) flows back to enter the controllable bed biological filter again for secondary denitrification;
according to the method, the carbon source adding amount in the step (1) and/or the step (2) is calculated based on an intelligent algorithm of a GBDT gradient lifting decision tree by taking the ammonia nitrogen and the nitrate nitrogen in the inlet water of the controllable bed biological filter, the ORP in the filter, the amount of the external carbon source and the COD in the outlet water of the filter as input values and the amount of the external carbon source as an output result.
2. The method according to claim 1, wherein the controllable bed biological filter is a deep bed denitrification filter; the width-depth ratio of the filter body is 1:2.2, the depth of the filter is 6.0m, the particle size of the quartz sand is 1.5mm, and the specific surface area of the quartz sand is 200m 2 /g。
3. The method according to claim 1, wherein the inoculation concentration of the return sludge is 2800-3200 mg/L, and the hydraulic load of the secondary sedimentation tank effluent entering the controlled bed biofilter is 70-100 m 3 /m 2 D, the hydraulic retention time is 0.7-1.0 h.
4. The method according to claim 1, wherein the COD/NO in step (1) is 3 - -N is in the range of 2:1, in the above range.
5. The method according to claim 1, wherein the water inlet speed of the secondary sedimentation tank in the step (1) is 3.0-4.5 m/h, the first stage lasts for 5-7 days, the second stage lasts from the end of the first stage to the end of biofilm formation, and the biofilm formation lasts for 33-37 days.
6. The method according to claim 1, wherein the COD/NO in step (2) is 3 - -N is between 2.9:1, in the above range.
7. The method of claim 1, wherein the intermittent stripping frequency in the step (2) is controlled to be 0.4-0.6 h/6h, the retention time is 5.4-5.6 h, the retention speed is 3.0-4.5 m/h, and the retention area is 5.5-6.5 m 2 And/or removing suspended matters synchronously with nitrogen removal.
8. The method as claimed in claim 1, wherein the effluent reflux ratio of the step (3) is 100-300%.
9. The method according to claim 1, wherein the intelligent algorithm specifically comprises:
setting a training set sample: t { (x) 1 ,y 1 ),(x 2 ,y 2 ),…,(x m ,y m ) The maximum iteration times is T, and the output is a strong learner f (x);
initialization weak learning device
Figure FDA0003694144780000021
Wherein i is a sample, L is a loss function, and c is the average value of sample output y;
for the iteration number T ═ 1,2,3, …, T:
1) for sample i ═ 1,2,3, …, m, a negative gradient was calculated
Figure FDA0003694144780000031
2) By using (x) i ,r ti ) Fitting a CART regression tree to obtain a t regression tree, wherein the corresponding leaf node area of the t regression tree is Rtj, and J is 1,2,3, … and J, wherein J is the number of leaf nodes of the regression tree t;
3) for leaf area J equal to 1,2,3, …, J, the best fit value is calculated
Figure FDA0003694144780000032
Figure FDA0003694144780000033
4) Updating strong learning device
Figure FDA0003694144780000034
Wherein I is an error;
obtaining a strong learner as an output
Figure FDA0003694144780000035
Figure FDA0003694144780000036
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