Operation decision-making system for biochemical pool process mode judgment and parameter regulation and control

Abstract

The invention relates to an operation decision-making system for process mode judgment and parameter regulation and control of a biochemical pool. The operation decision-making system comprises a parameter input module for acquiring operation parameters; the parameter processing module is used for acquiring first data according to the operation parameters; the process mode judgment module is used for obtaining the actual internal carbon source denitrification rate and the theoretical maximum internal carbon source denitrification rate of the biochemical pool to be detected and judging the process mode of the biochemical pool to be detected; the internal carbon source denitrification relation analysis module is used for acquiring all permutation and combination of operation regulation and control parameters under the target internal carbon source denitrification rate when the process mode tends to generate denitrification mainly for strengthening internal carbon source denitrification and has an optimization space; the first scene parameter regulation and control module is used for acquiring a suitable process mode of the biochemical pool to be detected under the current water quality and a regulation and control range of the optimal permutation and combination of operation regulation and control parameters under the mode; according to the invention, the refinement and intelligence level of sewage treatment is effectively improved.

Description

Technical Field

[0001] The present invention relates to the technical field of sewage treatment, and in particular to an operation decision-making system for judging process modes and regulating parameters of a biochemical pool. Background Art

[0002] With the improvement of my country's sewage treatment discharge standards, in order to achieve stable and efficient denitrification efficiency, designers usually incorporate measures such as filler addition, setting of deoxygenation zones, setting of anoxic / aerobic variable zones, intermittent aeration, and increasing of anoxic areas into traditional AAO, AAOAO and other process forms during design calculations. The typical process after integrating new measures theoretically improves the efficiency of nitrogen and phosphorus removal in biochemical pools while also increasing the probability of denitrification modes such as internal carbon source denitrification and simultaneous nitrification and denitrification. Literature shows that through one or more of the above measures and reasonable operation and control strategies, multiple AAO or AAOAO water plants have experienced different degrees of internal carbon source denitrification, simultaneous nitrification and denitrification, achieving deep denitrification while significantly reducing the amount of commercial carbon source added.

[0003] However, due to the uneven and generally low level of operating personnel in my country's water plants, most operators are unable to effectively adjust the process operation mode and operating parameters based on the actual incoming water quality and the actual design of the biochemical pool. They simply follow extensive measures such as increasing aeration, increasing the reflow ratio, increasing the sludge concentration, and increasing the amount of carbon source added, which causes sludge aging, swelling, and imbalance of functional bacteria species, making it impossible for the inherent biochemical pool to achieve its level of efficient nitrogen removal, and at the same time resulting in high operating costs.

[0004] In order to solve problems such as extensive operating modes, technicians have developed a variety of intelligent management systems or platforms, but most of the existing systems or platforms are intelligent operation management systems or systems for single-point problems in biochemical pools. These systems have greatly improved the management efficiency of drug consumption, electricity consumption, and personnel, but they still cannot guide operators to adjust relevant process modes and specific parameters according to different water qualities and the actual design of the biochemical pool.

[0005] Therefore, there is an urgent need for an operation decision-making system for biochemical pool process mode judgment and parameter regulation. Summary of the invention

[0006] 1. Technical issues to be resolved

[0007] In view of the above-mentioned shortcomings and deficiencies of the prior art, the present invention provides an operation decision system for judging the process mode and regulating parameters of a biochemical pool, which solves the technical problems in the prior art of high operating cost and inability to guide operators to regulate relevant process modes and specific parameters according to different water qualities and the actual design conditions of the biochemical pool.

[0008] (II) Technical solution

[0009] In order to achieve the above object, the main technical solutions adopted by the present invention include:

[0010] The embodiment of the present invention provides an operation decision system for judging process mode and regulating parameters of a biochemical pool, including:

[0011] A parameter input module is used to obtain the design parameters and operation parameters of the water plant involved in the operation decision of the biochemical pool to be tested;

[0012] The design parameters include the civil engineering parameters of the biochemical pool to be tested; the operation parameters include: the operation form, actual parameters and target internal carbon source denitrification rate of the biochemical pool to be tested;

[0013] A parameter processing module, used for inputting the design parameters and operation parameters of the water plant involved in the operation decision of the biochemical pool to be tested into a parameter model constructed in advance to obtain first data;

[0014] A process mode judgment module is used to obtain the actual internal carbon source denitrification rate and the theoretical maximum internal carbon source denitrification rate of the biochemical pool to be tested according to the actual parameter and the first data, and judge the process mode of the biochemical pool to be tested according to the actual internal carbon source denitrification rate and the theoretical maximum internal carbon source denitrification rate of the biochemical pool to be tested;

[0015] The internal carbon source-denitrification relationship analysis module is used to retrieve the target internal carbon source denitrification rate and civil engineering parameters when the process mode tends to occur denitrification mainly based on enhanced internal carbon source denitrification and has optimization space, and input the target internal carbon source denitrification rate and civil engineering parameters into the third internal carbon source denitrification improvement relationship model constructed in advance, so as to obtain all permutations and combinations of operating control parameters under the target internal carbon source denitrification rate;

[0016] The first scenario parameter control module is used to obtain the suitable process mode of the biochemical pool to be tested under the current water quality and the control range of the optimal combination of operating control parameters under this mode according to the process mode of the biochemical pool to be tested and all combinations of operating control parameters under the target internal carbon source denitrification rate.

[0017] Optionally, the operation modes of the biochemical pool to be tested include: AAO process, AAOAO process;

[0018] The civil engineering parameters include: anaerobic tank capacity data, anoxic tank capacity data, aerobic tank capacity data, post-anoxic tank capacity data, post-aerobic tank capacity data, biochemical tank effective water depth data, secondary sedimentation tank capacity data, and secondary sedimentation tank effective water depth data;

[0019] The actual parameters include: daily average influent temperature data, daily treated water volume data, influent pH data, daily average chemical oxygen demand concentration data, daily average five-day biochemical oxygen demand concentration data, daily average total nitrogen concentration data, daily average total phosphorus concentration data, biochemical pool mixed liquor suspended solids concentration data, biochemical pool mixed liquor volatile suspended solids concentration data, external reflow ratio data, internal reflow ratio data, aerobic pool terminal dissolved oxygen data, carbon source dosage data, sludge age data, anaerobic pool outlet Total nitrogen concentration data in water, phosphate concentration data at the end of anaerobic tank, nitrate nitrogen concentration data in anaerobic tank effluent, total nitrogen concentration data in anoxic tank effluent, nitrate nitrogen concentration data in anoxic tank effluent, ammonia nitrogen concentration data at the end of anoxic tank, total nitrogen concentration data in aerobic tank effluent, nitrate nitrogen concentration data in aerobic tank effluent, total nitrogen concentration data in post-anoxic tank effluent, total nitrogen concentration data in post-aerobic tank effluent, total nitrogen concentration data in secondary sedimentation tank effluent, as well as total nitrogen concentration data in external return sludge and suspended solids concentration data in return sludge mixed liquor.

[0020] Optionally, the system further comprises:

[0021] The traditional external carbon source denitrification operation analysis module is used to obtain actual related indicators according to the operation parameters when the process mode tends to be denitrification mainly based on external carbon source denitrification, and compare the actual related indicators with the theoretical related indicators to determine whether the denitrification capacity of the biochemical pool to be tested is normal;

[0022] The second scenario parameter control module is used to obtain the recommended operating values ​​of various related indicators as specific values ​​of adjustable parameters when the denitrification capacity of the biochemical pool to be tested is abnormal;

[0023] The relevant indicators include: the amount of nitrate nitrogen removed from the anoxic pool, the internal reflow ratio, the external reflow ratio, the denitrification rate and the amount of external carbon source added.

[0024] Optionally, in the traditional external carbon source operation analysis module, judging whether the denitrification capacity of the biochemical pool to be tested is normal includes:

[0025] When the actual value of any value of the denitrification rate and the nitrate nitrogen removal amount in the anoxic tank is more than 20% lower than the theoretical value, and the actual value of any value of the external reflow ratio, internal reflow ratio, and external carbon source dosage is more than 20% higher than the theoretical value, the assessment result is abnormal; otherwise, the assessment is normal.

[0026] Optionally, the process mode judgment module includes:

[0027] The actual internal carbon source denitrification rate acquisition unit is used to input the actual parameters into the following formula to obtain the actual internal carbon source denitrification rate of the biochemical pool to be tested:

[0028]

[0029] Among them, A is the actual internal carbon source denitrification rate, R is the external reflow ratio, r is the internal reflow ratio, TN 1 is the total nitrogen concentration data of the anoxic pool effluent, TN 2 is the total nitrogen concentration data of the aerobic pool effluent, TN 3 is the total nitrogen concentration data of the effluent from the post-aerobic pool, TN 4 is the total nitrogen concentration in the effluent from the secondary sedimentation tank, TN 5 is the total nitrogen concentration data of the external return sludge, TN 进水 The average daily total nitrogen concentration data of the influent;

[0030] A theoretical maximum internal carbon source denitrification rate acquisition unit is used to retrieve the design parameters and operation parameters and the first data into a first internal carbon source denitrification general relationship model constructed in advance to obtain a theoretical maximum internal carbon source denitrification rate;

[0031] The judgment unit is used to judge the process mode of the biochemical pool to be tested according to the pre-built judgment rules.

[0032] Optionally, in the judgment unit, the pre-constructed judgment rule is:

[0033] When the actual internal carbon source denitrification rate and the theoretical maximum internal carbon source denitrification rate are both less than 20%, denitrification tends to be mainly based on traditional external carbon source denitrification.

[0034] When the actual internal carbon source denitrification rate is higher than 20% and higher than the theoretical maximum internal carbon source denitrification rate, denitrification mainly based on enhanced internal carbon source denitrification tends to occur and the current operating parameters are optimal;

[0035] When the theoretical maximum internal carbon source denitrification rate is higher than 20% and higher than the actual internal carbon source denitrification rate, denitrification mainly based on enhanced internal carbon source denitrification tends to occur and there is room for optimization.

[0036] Optionally, the system further comprises:

[0037] A model training module is used to train the first internal carbon source denitrification general relationship model using the first training data set to obtain the trained first internal carbon source denitrification general relationship model; use the second training data set to perform secondary training on the trained first internal carbon source denitrification general relationship model to obtain the second internal carbon source denitrification specific relationship model; use the third training data set to train the second internal carbon source denitrification specific relationship model again to obtain the third internal carbon source denitrification perfect relationship model;

[0038] The first training data set is the historical actual parameters and historical actual internal carbon source denitrification rate of any water plant participating in the operation decision-making of the biochemical pool to be tested for the past six months to one year;

[0039] The second training data set is the historical actual parameters of the water plant currently involved in the operation decision of the biochemical pool to be tested for more than half a year to one year and the historical actual internal carbon source denitrification rate;

[0040] The third training data set is the historical actual parameters and historical actual internal carbon source denitrification rates corresponding to all water plants participating in the operation decision-making of the biochemical pool to be tested in the past two years when denitrification mainly based on enhanced internal carbon source denitrification tended to occur and the current operation parameters were optimal;

[0041] The first internal carbon source denitrification general relationship model, the second internal carbon source denitrification specific relationship model and the third internal carbon source denitrification perfect relationship model are deep learning models.

[0042] Optionally, when the process mode tends to produce denitrification mainly by enhancing internal carbon source denitrification and the current operating parameters are optimal, the current actual parameters are obtained, and the current actual parameters and the current actual internal carbon source denitrification rate are used as a set of data of the third training data set to train the second internal carbon source denitrification specific relationship model.

[0043] Optionally, the first scene parameter control module includes:

[0044] The adjustable parameter sorting unit is used to screen all the permutations and combinations of the operating control parameters under the target internal carbon source denitrification rate according to the adjustable parameter interval to obtain the optimal permutation and combination according to all the permutations and combinations of the operating control parameters under the target internal carbon source denitrification rate and the operating business scenario of the biochemical pool to be tested;

[0045] All operation control parameters include: suspended solids concentration of biochemical pool mixed liquor, volatile suspended solids concentration of biochemical pool mixed liquor, external reflow ratio, internal reflow ratio, dissolved oxygen concentration, carbon source dosage and sludge age;

[0046] The adjustable parameter interval acquisition unit is used to input the optimal combination into the adjustable parameter interval operation model set in advance to obtain the control range of the optimal combination of operation control parameters under the target internal carbon source denitrification rate.

[0047] Optionally, in the first scenario parameter control module, the operation business scenario of the biochemical pool to be tested is obtained according to the daily average temperature data and the first data in the actual parameters;

[0048] The first data include: carbon-nitrogen ratio data, carbon-phosphorus ratio data, total nitrogen volumetric load data of anoxic tank, total nitrogen sludge load data of anoxic tank, actual hydraulic retention time data of anaerobic tank, actual hydraulic retention time data of anoxic tank, actual hydraulic retention time data of aerobic tank, actual hydraulic retention time data of post-anoxic tank, actual hydraulic retention time data of post-aerobic tank, actual total hydraulic retention time data of biochemical tank, actual hydraulic retention time data of secondary sedimentation tank, hydraulic load data of secondary sedimentation tank and solid load data of secondary sedimentation tank.

[0049] (III) Beneficial effects

[0050] The beneficial effects of the present invention are as follows: the operation decision-making system for judging the process mode and regulating parameters of a biochemical pool of the present invention adopts a process mode judgment module to judge the process mode of the biochemical pool to be tested, and simultaneously uses the first internal carbon source denitrification general relationship model, the second internal carbon source denitrification specific relationship model and the third internal carbon source denitrification perfect relationship model to obtain the optimal process operation mode and the regulation range of the operation regulation parameters, thereby saving part of the carbon source and improving the denitrification efficiency of the biochemical pool, and effectively improving the refinement and intelligence level of sewage treatment. BRIEF DESCRIPTION OF THE DRAWINGS

[0051] Figure 1 This is a structural diagram of an operation decision-making system for judging process mode and regulating parameters of a biochemical pool according to Embodiment 1 of the present invention;

[0052] Figure 2 This is a schematic diagram of the structure of the parameter input module;

[0053] Figure 3 This is a structural diagram of the process mode judgment and analysis module. DETAILED DESCRIPTION

[0054] In order to better explain the present invention and facilitate understanding, the present invention is described in detail below through specific implementation modes in conjunction with the accompanying drawings.

[0055] AAO process: AAO process is also called anaerobic-anoxic-aerobic process, which includes three main stages:

[0056] In the anaerobic stage, in the absence of molecular oxygen and combined oxygen, polyphosphate bacteria release phosphorus and absorb easily degradable organic matter;

[0057] Anoxic stage: During this stage, denitrifying bacteria use the organic carbon source in the sewage to reduce the nitrate nitrogen in the reflux mixed liquor into nitrogen gas, thus achieving denitrification;

[0058] Aerobic stage: This stage provides sufficient oxygen to oxidize ammonia nitrogen into nitrate (nitrification process), while polyphosphate bacteria take up excessive phosphorus for subsequent removal through the residual sludge system.

[0059] The AAOAO process adds an anoxic section and an aerobic section to the AAO process, forming a more complex five-stage treatment process.

[0060] An operation decision system for judging the process mode and regulating parameters of a biochemical pool proposed in an embodiment of the present invention is designed to solve the technical problem in the prior art that the operating personnel are unable to effectively adjust the process operation mode and operation parameters in combination with the actual water quality of the incoming water and the actual design of the biochemical pool, resulting in high operating costs and low denitrification efficiency. The present invention judges the process mode of the biochemical pool to be tested through a process mode judgment module, and simultaneously uses the first internal carbon source denitrification general relationship model, the second internal carbon source denitrification specific relationship model and the third internal carbon source denitrification perfect relationship model to obtain the optimal process operation mode and the control range of the operation control parameters, thereby saving part of the carbon source and improving the denitrification efficiency of the biochemical pool, thereby effectively improving the refinement and intelligence level of sewage treatment.

[0061] In order to better understand the above technical solution, exemplary embodiments of the present invention will be described in more detail below with reference to the accompanying drawings. Although exemplary embodiments of the present invention are shown in the accompanying drawings, it should be understood that the present invention can be implemented in various forms and should not be limited by the embodiments described herein. On the contrary, these embodiments are provided to enable a clearer and more thorough understanding of the present invention and to fully convey the scope of the present invention to those skilled in the art.

[0062] Example 1

[0063] See also Figure 1 , an operation decision system for judging a biochemical pool process mode and regulating parameters according to an embodiment of the present invention comprises:

[0064] A parameter input module is used to obtain the design parameters and operation parameters of the water plant involved in the operation decision of the biochemical pool to be tested;

[0065] The design parameters include the civil engineering parameters of the biochemical pool to be tested; the operation parameters include: the operation form, actual parameters and target internal carbon source denitrification rate of the biochemical pool to be tested;

[0066] A parameter processing module, used for inputting the design parameters and operation parameters of the water plant involved in the operation decision of the biochemical pool to be tested into a parameter processing model constructed in advance to obtain first data;

[0067] A process mode judgment module is used to obtain the actual internal carbon source denitrification rate and the theoretical maximum internal carbon source denitrification rate of the biochemical pool to be tested according to the actual parameter and the first data, and judge the process mode of the biochemical pool to be tested according to the actual internal carbon source denitrification rate and the theoretical maximum internal carbon source denitrification rate of the biochemical pool to be tested;

[0068] The internal carbon source-denitrification relationship analysis module is used to retrieve the target internal carbon source denitrification rate and civil engineering parameters when the process mode tends to occur denitrification mainly based on enhanced internal carbon source denitrification and has optimization space, and input the target internal carbon source denitrification rate and civil engineering parameters into the third internal carbon source denitrification improvement relationship model constructed in advance, so as to obtain all permutations and combinations of operating control parameters under the target internal carbon source denitrification rate;

[0069] The first scenario parameter control module is used to obtain the suitable process mode of the biochemical pool to be tested under the current water quality and the control range of the optimal combination of operating control parameters under this mode according to the process mode of the biochemical pool to be tested and all combinations of operating control parameters under the target internal carbon source denitrification rate.

[0070] The operation decision system for judging the process mode and regulating parameters of a biochemical pool in the present embodiment provides the operating personnel with the control range of the optimal arrangement and combination of the operation control parameters when the process mode tends to occur denitrification mainly based on enhanced internal carbon source denitrification and has optimization space, thereby saving part of the carbon source and improving the denitrification efficiency of the biochemical pool, thereby obtaining good economic benefits and helping to improve the refined and intelligent operation level of the sewage treatment plant.

[0071] Example 2

[0072] The operation decision-making system of a biochemical pool process mode judgment and parameter regulation of this embodiment includes:

[0073] A parameter input module is used to obtain the design parameters and operation parameters of the water plant involved in the operation decision of the biochemical pool to be tested;

[0074] like Figure 2 As shown, the design parameters in the parameter input module include the civil engineering parameters of the biochemical pool to be tested; the operation parameters include the operation form, actual parameters and target internal carbon source denitrification rate of the biochemical pool to be tested;

[0075] The target internal carbon source denitrification rate refers to the degree of internal carbon source denitrification that the user expects to occur in the biochemical pool in this embodiment under the current water quality and operating conditions. This data is generally between 20% and 50%.

[0076] A parameter processing module, used to input the operation parameters of the water plant involved in the operation decision of the biochemical pool to be tested into a parameter processing model constructed in advance to obtain first data;

[0077] A process mode judgment module is used to obtain the actual internal carbon source denitrification rate and the theoretical maximum internal carbon source denitrification rate of the biochemical pool to be tested according to the actual parameters and the first data, and judge the process mode of the biochemical pool to be tested according to the actual internal carbon source denitrification rate and the theoretical maximum internal carbon source denitrification rate of the biochemical pool to be tested;

[0078] The internal carbon source-denitrification relationship analysis module is used to retrieve the target internal carbon source denitrification rate and civil engineering parameters when the process mode tends to occur denitrification mainly based on enhanced internal carbon source denitrification and has optimization space, and input the target internal carbon source denitrification rate and civil engineering parameters into the third internal carbon source denitrification improvement relationship model constructed in advance to obtain all permutations and combinations of operating control parameters under the target internal carbon source denitrification rate;

[0079] The first scenario parameter control module is used to obtain the suitable process mode of the biochemical pool to be tested under the current water quality and the control range of the optimal combination of operating control parameters under this mode according to the process mode of the biochemical pool to be tested and all combinations of operating control parameters under the target internal carbon source denitrification rate.

[0080] Among them, the operation forms of the biochemical pool to be tested include: AAO process, AAOAO process;

[0081] Civil engineering parameters include: anaerobic tank capacity data, anoxic tank capacity data, aerobic tank capacity data, post-anoxic tank capacity data, post-aerobic tank capacity data, biochemical tank effective water depth data, secondary sedimentation tank capacity data, and secondary sedimentation tank effective water depth data;

[0082] Furthermore, in the operation form and civil engineering parameters of the biochemical pool, the operation mode of the biochemical pool serves to confirm the existence of variable functional areas in each pool of the biochemical pool, mainly including AAO process and AAOAO process selection; the civil engineering parameters include anaerobic pool capacity data, anoxic pool capacity data, aerobic pool capacity data, post-anoxic pool capacity data, post-aerobic pool capacity data, biochemical pool effective water depth data, secondary sedimentation tank capacity data, and secondary sedimentation tank effective water depth data. For biochemical pools with pre-anoxic zones, anoxic zones or facultative anoxic zones, in this operation decision system, the effective pool capacity of the pre-anoxic zone is included in the pool capacity of the anaerobic zone, the pool capacity of the anoxic zone is included in the pool capacity of the aerobic tank, and the pool capacity of the facultative anoxic zone is included in the aerobic zone or post-anoxic zone according to the aerobic or anoxic state of the pool at that time;

[0083] In the specific implementation process, the actual parameters can be divided into inlet-related parameters, biochemical pool core operating parameters and water quality parameters along the process. Among them, the inlet-related parameters include the daily average inlet temperature data, daily treated water volume data, inlet pH data, daily average chemical oxygen demand concentration data, daily average five-day biochemical oxygen demand concentration data, daily average total nitrogen concentration data, and daily average total phosphorus concentration data; the core operating parameters of the biochemical pool include the suspended solids concentration data of the biochemical pool mixed liquor, the volatile suspended solids concentration data of the biochemical pool mixed liquor, the external reflux ratio data, the internal reflux ratio data, and the aerobic pool end Dissolved oxygen data, carbon source dosage data, sludge age data; water quality parameters along the process include total nitrogen concentration data of anaerobic tank effluent, phosphate concentration data at the end of anaerobic tank, nitrate nitrogen concentration data of anaerobic tank effluent, total nitrogen concentration data of anoxic tank effluent, nitrate nitrogen concentration data of anoxic tank effluent, ammonia nitrogen concentration data at the end of anoxic tank, total nitrogen concentration data of aerobic tank effluent, nitrate nitrogen concentration data of aerobic tank effluent, total nitrogen concentration data of post-anoxic tank effluent, total nitrogen concentration data of post-aerobic tank effluent, total nitrogen concentration data of secondary sedimentation tank effluent, as well as total nitrogen concentration data of external return sludge and suspended solids concentration data of return sludge mixed liquor.

[0084] Furthermore, in the parameter processing module, the design parameters and operation parameters of the water plant involved in the operation decision of the biochemical pool to be tested are input into the parameter processing model constructed in advance, and the first data is obtained, including:

[0085] The operating parameters of the water plant involved in the operation decision of the biochemical pool to be tested are respectively input into the following formula to obtain the first data:

[0086] Carbon-nitrogen ratio = average daily chemical oxygen demand concentration of influent / average daily total nitrogen concentration of influent;

[0087] Carbon-phosphorus ratio = average daily chemical oxygen demand concentration of influent / average daily total phosphorus concentration of influent;

[0088] Total nitrogen volumetric load of anoxic tank = (average daily total nitrogen concentration of influent - total nitrogen of effluent from secondary sedimentation tank) × daily treated water volume / (anoxic tank capacity + post-anoxic tank capacity) / 1000;

[0089] Sludge load of anoxic tank = (average daily total nitrogen concentration of influent - total nitrogen of effluent from secondary sedimentation tank) × daily treated water volume / (capacity of anoxic tank + capacity of post-anoxic tank) / suspended solid concentration of mixed liquor in biochemical tank;

[0090] Actual hydraulic retention time of anaerobic tank = anaerobic tank capacity / daily treated water volume × 24;

[0091] Actual hydraulic retention time of anoxic pool = anoxic pool capacity / daily treated water volume × 24;

[0092] Actual hydraulic retention time of aerobic pool = aerobic pool capacity / daily treated water volume × 24;

[0093] Actual hydraulic retention time of the post-anoxic tank = post-anoxic tank capacity / daily treated water volume × 24;

[0094] Actual hydraulic retention time of the post-aerobic pool = post-aerobic pool capacity / daily treated water volume × 24;

[0095] The actual total hydraulic retention time of the biochemical pool = (anaerobic pool capacity + anoxic pool capacity + aerobic pool capacity + post-anoxic pool capacity + post-aerobic pool capacity) / daily water treatment volume × 24;

[0096] Actual hydraulic retention time of secondary sedimentation tank = secondary sedimentation tank capacity / daily treated water volume × 24;

[0097] Hydraulic load of secondary sedimentation tank = daily water treatment volume / 24 / secondary sedimentation tank capacity × effective water depth of secondary sedimentation tank;

[0098] Secondary sedimentation tank solid load = daily treated water volume × (1 + external reflow ratio) × suspended solid concentration of mixed liquor in biochemical pool / secondary sedimentation tank capacity × effective water depth of secondary sedimentation tank;

[0099] The first data specifically includes:

[0100] Carbon-nitrogen ratio data, carbon-phosphorus ratio data, total nitrogen volumetric load data of anoxic tank, total nitrogen sludge load data of anoxic tank, actual hydraulic retention time data of anaerobic tank, actual hydraulic retention time data of anoxic tank, actual hydraulic retention time data of aerobic tank, actual hydraulic retention time data of post-anoxic tank, actual hydraulic retention time data of post-aerobic tank, actual total hydraulic retention time data of biochemical tank, actual hydraulic retention time data of secondary sedimentation tank, hydraulic load data of secondary sedimentation tank and solid load data of secondary sedimentation tank.

[0101] In the specific implementation process, the operation decision system of this embodiment also includes:

[0102] The traditional external carbon source denitrification operation analysis module is used to obtain actual related indicators according to the operation parameters when the process mode tends to be denitrification mainly based on external carbon source denitrification, and compare the actual related indicators with the theoretical related indicators to determine whether the denitrification capacity of the biochemical pool to be tested is normal;

[0103] The second scenario parameter control module is used to obtain the recommended operating values ​​of various related indicators as specific values ​​of adjustable parameters when the denitrification capacity of the biochemical pool to be tested is abnormal;

[0104] Relevant indicators include: nitrate nitrogen removal in the anoxic tank, internal reflow ratio, external reflow ratio, denitrification rate and external carbon source dosage.

[0105] Among them, in the traditional external carbon source denitrification operation analysis module, the actual relevant indicators obtained according to the operation parameters include:

[0106] Actual denitrification rate = (average daily total nitrogen concentration of influent - total nitrogen concentration of effluent from post-aerobic pool) × daily treated water volume × 24 / (anoxic pool capacity + post-anoxic pool capacity) / suspended solid concentration of mixed liquor in biochemical pool;

[0107] Actual nitrate nitrogen removal in anoxic pool = ((1 + internal reflow ratio) × nitrate nitrogen in aerobic pool effluent + (1 + external reflow ratio) × nitrate nitrogen in anaerobic pool effluent - nitrate nitrogen in anoxic pool effluent) / (1 + internal reflow ratio + external reflow ratio);

[0108] The actual values ​​of the internal reflux ratio, external reflux ratio and external carbon source dosage are all derived from the corresponding index values ​​in the actual parameters in the parameter input module;

[0109] Furthermore, the theoretical related indicators are obtained through the theoretical value calculation algorithm, as follows:

[0110] Theoretical value of denitrification rate = 0.06 × 1.08^(average daily inlet temperature -20) / 1.1;

[0111] Theoretical value of nitrate nitrogen removal in anoxic pool = theoretical value of denitrification rate × actual hydraulic retention time in anoxic pool × suspended solid concentration of mixed liquor in biochemical pool / 1000;

[0112] Theoretical value of external reflow ratio = suspended solids concentration of mixed liquor in biochemical pool / (suspended solids concentration of mixed liquor in return sludge - suspended solids concentration of mixed liquor in biochemical pool);

[0113] Theoretical value of internal reflow ratio = (average daily total nitrogen concentration of influent - total nitrogen concentration of effluent from secondary sedimentation tank) / average daily total nitrogen concentration of influent / (1 - (average daily total nitrogen concentration of influent - total nitrogen concentration of effluent from secondary sedimentation tank) / average daily total nitrogen concentration of influent) - theoretical value of external reflow ratio;

[0114] Theoretical value of external carbon source dosage = (5-carbon-nitrogen ratio) × (daily average total nitrogen concentration of influent - total nitrogen concentration of effluent from secondary sedimentation tank) × daily treated water volume / 1.131 / 200000;

[0115] Specifically, whether the denitrification capacity is normal means: when the actual value of any value of the denitrification rate and the nitrate-nitrogen removal amount in the anoxic tank among the above-mentioned related indicators is more than 20% lower than the theoretical value, and the actual value of any value of the external reflow ratio, the internal reflow ratio, and the external carbon source dosage is more than 20% higher than the theoretical value, the assessment result is abnormal; otherwise, it is assessed as normal.

[0116] When the evaluation result is abnormal, the operation recommended values ​​of each relevant indicator are obtained according to the operation algorithm of each relevant indicator, and the operation recommended values ​​of each relevant indicator are used as the specific values ​​of the adjustable parameters. When the evaluation result is normal, there is no need to adjust the adjustable parameters.

[0117] In this embodiment, see Figure 3, the process mode judgment module includes:

[0118] The actual internal carbon source denitrification rate acquisition unit is used to input the actual parameters into the following formula to obtain the actual internal carbon source denitrification rate of the biochemical pool to be tested:

[0119]

[0120] Among them, A is the actual internal carbon source denitrification rate, R is the external reflow ratio, r is the internal reflow ratio, TN 1 is the total nitrogen concentration data of the anoxic pool effluent, TN 2 is the total nitrogen concentration data of the aerobic pool effluent, TN 3 is the total nitrogen concentration data of the effluent from the post-aerobic pool, TN 4 is the total nitrogen concentration data of the effluent from the secondary sedimentation tank, TN 5 is the total nitrogen concentration data of the external return sludge, TN 进水 The average daily total nitrogen concentration data of the influent;

[0121] A theoretical maximum internal carbon source denitrification rate acquisition unit is used to retrieve the design parameters and operation parameters and the first data into a first internal carbon source denitrification general relationship model constructed in advance to obtain a theoretical maximum internal carbon source denitrification rate;

[0122] The judgment unit is used to judge the process mode of the biochemical pool to be tested according to the pre-built judgment rules.

[0123] In the judgment unit, the pre-built judgment rules are:

[0124] When the actual internal carbon source denitrification rate and the theoretical maximum internal carbon source denitrification rate are both less than 20%, denitrification tends to be mainly based on traditional external carbon source denitrification.

[0125] When the actual internal carbon source denitrification rate is higher than 20% and higher than the theoretical maximum internal carbon source denitrification rate, denitrification mainly based on enhanced internal carbon source denitrification tends to occur and the current operating parameters are optimal;

[0126] When the theoretical maximum internal carbon source denitrification rate is higher than 20% and higher than the actual internal carbon source denitrification rate, denitrification mainly based on enhanced internal carbon source denitrification tends to occur and there is room for optimization.

[0127] The operation decision system in this embodiment also includes:

[0128] A model training module is used to train the first internal carbon source denitrification general relationship model using the first training data set to obtain the trained first internal carbon source denitrification general relationship model; use the second training data set to perform secondary training on the trained first internal carbon source denitrification general relationship model to obtain the second internal carbon source denitrification specific relationship model; use the third training data set to train the second internal carbon source denitrification specific relationship model again to obtain the third internal carbon source denitrification perfect relationship model;

[0129] The first training data set is the historical actual parameters and historical actual internal carbon source denitrification rate of any water plant involved in the operation decision-making of the biochemical pool to be tested for the past six months to one year;

[0130] The second training data set is the historical actual parameters of the water plant currently involved in the operation decision-making of the biochemical pool to be tested for more than half a year to one year and the historical actual internal carbon source denitrification rate;

[0131] The third training data set is the historical actual parameters and historical actual internal carbon source denitrification rates of all water plants participating in the operation decision-making of the biochemical pool to be tested in the past two years when the denitrification tended to be mainly based on enhanced internal carbon source denitrification and the current operating parameters were optimal;

[0132] The first internal carbon source denitrification general relationship model, the second internal carbon source denitrification specific relationship model, and the third internal carbon source denitrification perfect relationship model are deep learning models.

[0133] Specifically, the initial model is first trained using the first training data set to obtain the first internal carbon source denitrification general relationship model. This step enables the model to understand the basic dynamics within a single sewage treatment plant and establish basic prediction capabilities;

[0134] Next, the preliminarily trained model is trained again using the second training data set. The purpose is to allow the model to learn from data from multiple sewage treatment plants, enhance its general applicability, and improve its ability to adapt to differences between different water plants.

[0135] Finally, the model is trained again using the third training data set. This training aims to ensure the comprehensiveness of the model and to fine-tune the model to obtain the final comprehensive and high-precision third internal carbon source-denitrification perfect relationship model.

[0136] Through the above three-stage training process and three models, it is possible to reduce the complexity of data processing while improving accuracy and operating efficiency.

[0137] Furthermore, when the process mode tends to occur denitrification mainly by enhancing internal carbon source denitrification and the current operating parameters are optimal, the current actual parameters are obtained, and the current actual parameters and the current actual internal carbon source denitrification rate are used as a set of data in the third training data set to train the second internal carbon source denitrification specific relationship model.

[0138] In this embodiment, the first scene parameter control module includes:

[0139] The adjustable parameter sorting unit is used to re-sort all the permutations and combinations of the operating control parameters under the target internal carbon source denitrification rate according to the adjustable parameter interval to obtain the optimal permutation and combination according to all the permutations and combinations of the operating control parameters under the target internal carbon source denitrification rate and the operating business scenario of the biochemical pool to be tested;

[0140] Operation and control parameters include: suspended solids concentration of biochemical pool mixed liquor, volatile suspended solids concentration of biochemical pool mixed liquor, external reflux ratio, internal reflux ratio, dissolved oxygen concentration, carbon source dosage and sludge age;

[0141] The adjustable parameter interval acquisition unit is used to input the optimal permutation and combination into the adjustable parameter interval operation model set in advance, and obtain the control range of the optimal permutation and combination of the operation control parameters under the target internal carbon source denitrification rate.

[0142] In this embodiment, in the first scene parameter control module,

[0143] The operation business scenario of the biochemical pool to be tested is obtained based on the daily average temperature data and the first data in the actual parameters;

[0144] Specifically, the operation business scenario of the biochemical pool to be tested is obtained according to the average daily temperature data in the actual parameters and the carbon-nitrogen ratio data in the first data; there are nine business scenarios in total, and the order of the operation control parameters under the nine business scenarios refers to the parameter control order that affects the operation control parameters under each business scenario; the nine business scenarios are detailed in Table 1:

[0145]

[0146] Furthermore, in the first scenario parameter control module, after classifying the business scenarios, the sorting results under the current business scenario are obtained, and according to the pre-set adjustable parameter interval operation algorithm, all permutations and combinations of operating control parameters that meet the current water quality conditions and the target internal carbon source denitrification rate expected by the user are calculated according to the sorting results and corresponding gradients, so as to obtain the control range of the operating control parameters and the optimal permutation and combination that meet the current water quality conditions and the target internal carbon source denitrification rate expected by the user.

[0147] The corresponding control gradients of the operating control parameters are shown in the following table:

[0148]

[0149] An operation decision-making system for biochemical pool process mode judgment and parameter regulation in this embodiment further includes: an operation decision-making module for outputting relevant results;

[0150] The output content is any one of the following:

[0151] The process mode is denitrification mainly by enhanced endogenous carbon source denitrification, the current operating parameters are optimal, and the corresponding current actual parameters;

[0152] The process mode is denitrification mainly by enhanced endogenous carbon source denitrification and has room for optimization, and the corresponding operation regulation parameters and the regulation range of the optimal permutation and combination;

[0153] The process mode is denitrification mainly by traditional exogenous carbon source denitrification and the denitrification ability is abnormal, and the operation recommended values of the corresponding relevant indexes;

[0154] The process mode is denitrification mainly by traditional exogenous carbon source denitrification and the denitrification ability is normal.

[0155] An operation decision-making system for biochemical pool process mode judgment and parameter regulation in this embodiment provides the optimal process operation mode of the biochemical treatment unit and the operation parameters of the key controllable indexes under different influent water quality conditions for the operation personnel, improves the denitrification efficiency of the biochemical pool while saving part of the carbon source, obtains good economic benefits, and helps to improve the refined and intelligent operation level of the sewage treatment plant.

[0156] Example 3

[0157] An operation decision-making system for biochemical pool process mode judgment and parameter regulation in this embodiment is any one of the operation decision-making systems for biochemical pool process mode judgment and parameter regulation in Embodiment 1 and Embodiment 2. Details are not described here, and only different situations in the present invention are described.

[0158] The operation decision-making system for biochemical pool process mode judgment and parameter regulation in the embodiment of the present invention includes three situations, which are specifically as follows:

[0159] (1) When the process mode judgment module judges that the process mode is denitrification mainly by enhanced endogenous carbon source denitrification and the current operating parameters are optimal, the current actual parameters are obtained at this time, and the current actual parameters and the current actual endogenous carbon source denitrification rate are used as a set of data in the third training data set to train the second endogenous carbon source denitrification specific relationship model.

[0160] (2) The process mode judgment module judges that the process mode tends to be denitrification mainly based on enhanced internal carbon source denitrification and has room for optimization. At this time, the internal carbon source denitrification relationship analysis module is entered to retrieve the target internal carbon source denitrification rate and civil engineering parameters, and input them into the third internal carbon source denitrification improvement relationship model constructed in advance to obtain all permutations and combinations of operating control parameters under the target internal carbon source denitrification rate; then the first scenario parameter control module is entered to obtain the control range of the optimal permutation and combination of operating control parameters under the target internal carbon source denitrification rate.

[0161] (3) The process mode judgment module judges that the process mode is inclined to denitrification mainly based on traditional external carbon source denitrification. At this time, the traditional external carbon source denitrification operation analysis module is entered to determine whether the denitrification capacity of the biochemical pool to be tested is normal. If not, the second scenario parameter control module is entered to obtain the recommended operating values ​​of each relevant indicator as the specific values ​​of the adjustable parameters; if normal, the output is normal operation.

[0162] In this embodiment, by setting up treatment processes under three different situations, not only the refined management level of the denitrification link in the sewage treatment process is improved, but also the existing resources are maximized through precise control and optimization of operation and regulation parameters, thereby reducing costs and improving economic benefits.

[0163] In the description of the present invention, it should be understood that the terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of the features. In the description of the present invention, the meaning of "plurality" is two or more, unless otherwise clearly and specifically defined.

[0164] In the present invention, unless otherwise clearly specified and limited, the terms "installed", "connected", "connected", "fixed" and the like should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection or an indirect connection through an intermediate medium; it can be the internal connection of two elements or the interaction relationship between two elements. For ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0165] In the present invention, unless otherwise clearly specified and limited, when a first feature is “on” or “below” a second feature, it may be that the first and second features are in direct contact, or that the first and second features are in indirect contact through an intermediate medium. Moreover, when a first feature is “above”, “above” or “above” a second feature, it may be that the first feature is directly above or obliquely above the second feature, or it may simply mean that the first feature is higher in level than the second feature. When a first feature is “below”, “below” or “below” a second feature, it may be that the first feature is directly below or obliquely below the second feature, or it may simply mean that the first feature is lower in level than the second feature.

[0166] In the description of this specification, the description of the terms "one embodiment", "some embodiments", "embodiment", "example", "specific example" or "some examples" etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or more embodiments or examples in a suitable manner. In addition, those skilled in the art may combine and combine the different embodiments or examples described in this specification and the features of the different embodiments or examples, unless they are contradictory.

[0167] Although the embodiments of the present invention have been shown and described above, it is to be understood that the above embodiments are exemplary and are not to be construed as limitations of the present invention. A person skilled in the art may alter, modify, replace and modify the above embodiments within the scope of the present invention.

Claims

1. An operation decision-making system for judging process mode and regulating parameters of a biochemical pool, characterized in that: include: A parameter input module is used to obtain the design parameters and operation parameters of the water plant involved in the operation decision of the biochemical pool to be tested; The design parameters include the civil engineering parameters of the biochemical pool to be tested; The operating parameters include: the operating form, actual parameters and target internal carbon source denitrification rate of the biochemical pool to be tested; A parameter processing module, used for inputting the design parameters and operation parameters of the water plant involved in the operation decision of the biochemical pool to be tested into a parameter model constructed in advance to obtain first data; A process mode judgment module is used to obtain the actual internal carbon source denitrification rate and the theoretical maximum internal carbon source denitrification rate of the biochemical pool to be tested according to the actual parameter and the first data, and judge the process mode of the biochemical pool to be tested according to the actual internal carbon source denitrification rate and the theoretical maximum internal carbon source denitrification rate of the biochemical pool to be tested; The internal carbon source-denitrification relationship analysis module is used to retrieve the target internal carbon source denitrification rate and civil engineering parameters when the process mode tends to occur denitrification mainly based on enhanced internal carbon source denitrification and has optimization space, and input the target internal carbon source denitrification rate and civil engineering parameters into the third internal carbon source denitrification improvement relationship model constructed in advance, so as to obtain all permutations and combinations of operating control parameters under the target internal carbon source denitrification rate; The first scenario parameter control module is used to obtain the suitable process mode of the biochemical pool to be tested under the current water quality and the control range of the optimal combination of operating control parameters under this mode according to the process mode of the biochemical pool to be tested and all combinations of operating control parameters under the target internal carbon source denitrification rate.

2. The operation decision system for judging the process mode and regulating parameters of a biochemical pool according to claim 1, characterized in that: The operation modes of the biochemical pool to be tested include: AAO process and AAOAO process; The civil engineering parameters include: anaerobic tank capacity data, anoxic tank capacity data, aerobic tank capacity data, post-anoxic tank capacity data, post-aerobic tank capacity data, biochemical tank effective water depth data, secondary sedimentation tank capacity data, and secondary sedimentation tank effective water depth data; The actual parameters include: daily average influent temperature data, daily treated water volume data, influent pH data, daily average chemical oxygen demand concentration data, daily average five-day biochemical oxygen demand concentration data, daily average total nitrogen concentration data, daily average total phosphorus concentration data, biochemical pool mixed liquor suspended solids concentration data, biochemical pool mixed liquor volatile suspended solids concentration data, external reflow ratio data, internal reflow ratio data, aerobic pool terminal dissolved oxygen data, carbon source dosage data, sludge age data, anaerobic pool outlet Total nitrogen concentration data in water, phosphate concentration data at the end of anaerobic tank, nitrate nitrogen concentration data in anaerobic tank effluent, total nitrogen concentration data in anoxic tank effluent, nitrate nitrogen concentration data in anoxic tank effluent, ammonia nitrogen concentration data at the end of anoxic tank, total nitrogen concentration data in aerobic tank effluent, nitrate nitrogen concentration data in aerobic tank effluent, total nitrogen concentration data in post-anoxic tank effluent, total nitrogen concentration data in post-aerobic tank effluent, total nitrogen concentration data in secondary sedimentation tank effluent, as well as total nitrogen concentration data in external return sludge and suspended solids concentration data in return sludge mixed liquor.

3. The operation decision system for judging the process mode and regulating parameters of a biochemical pool according to claim 1, characterized in that: The system further comprises: The traditional external carbon source denitrification operation analysis module is used to obtain actual related indicators according to the operation parameters when the process mode tends to be denitrification mainly based on external carbon source denitrification, and compare the actual related indicators with the theoretical related indicators to determine whether the denitrification capacity of the biochemical pool to be tested is normal; The second scenario parameter control module is used to obtain the recommended operating values ​​of various related indicators as specific values ​​of adjustable parameters when the denitrification capacity of the biochemical pool to be tested is abnormal; The relevant indicators include: the amount of nitrate nitrogen removed from the anoxic pool, the internal reflow ratio, the external reflow ratio, the denitrification rate and the amount of external carbon source added.

4. The operation decision system for judging the process mode and regulating parameters of a biochemical pool according to claim 3, characterized in that: In the conventional external carbon source operation analysis module, judging whether the denitrification capacity of the biochemical pool to be tested is normal includes: When the actual value of any value of the denitrification rate and the nitrate nitrogen removal amount in the anoxic tank is more than 20% lower than the theoretical value, and the actual value of any value of the external reflow ratio, internal reflow ratio, and external carbon source dosage is more than 20% higher than the theoretical value, the assessment result is abnormal; otherwise, the assessment is normal.

5. The operation decision system for judging the process mode and regulating parameters of a biochemical pool according to claim 2, characterized in that: The process mode judgment module includes: The actual internal carbon source denitrification rate acquisition unit is used to input the actual parameters into the following formula to obtain the actual internal carbon source denitrification rate of the biochemical pool to be tested: Among them, A is the actual internal carbon source denitrification rate, R is the external reflow ratio, r is the internal reflow ratio, TN1 is the total nitrogen concentration data of the effluent from the anoxic tank, TN2 is the total nitrogen concentration data of the effluent from the aerobic tank, TN3 is the total nitrogen concentration data of the effluent from the post-aerobic tank, TN4 is the total nitrogen concentration data of the effluent from the secondary sedimentation tank, TN5 is the total nitrogen concentration data of the external reflow sludge, TN 进水 The average daily total nitrogen concentration data of the influent; A theoretical maximum internal carbon source denitrification rate acquisition unit is used to retrieve the design parameters and operation parameters and the first data into a first internal carbon source denitrification general relationship model constructed in advance to obtain a theoretical maximum internal carbon source denitrification rate; The judgment unit is used to judge the process mode of the biochemical pool to be tested according to the pre-built judgment rules.

6. The operation decision system for judging the process mode and regulating parameters of a biochemical pool according to claim 5, characterized in that: In the judgment unit, the pre-built judgment rules are: When the actual internal carbon source denitrification rate and the theoretical maximum internal carbon source denitrification rate are both less than 20%, denitrification tends to be mainly based on traditional external carbon source denitrification. When the actual internal carbon source denitrification rate is higher than 20% and higher than the theoretical maximum internal carbon source denitrification rate, denitrification mainly based on enhanced internal carbon source denitrification tends to occur and the current operating parameters are optimal; When the theoretical maximum internal carbon source denitrification rate is higher than 20% and higher than the actual internal carbon source denitrification rate, denitrification mainly based on enhanced internal carbon source denitrification tends to occur and there is room for optimization.

7. The operation decision system for judging the process mode and regulating parameters of a biochemical pool according to claim 5, characterized in that: The system further comprises: A model training module is used to train the first internal carbon source denitrification general relationship model using the first training data set to obtain the trained first internal carbon source denitrification general relationship model; use the second training data set to perform secondary training on the trained first internal carbon source denitrification general relationship model to obtain the second internal carbon source denitrification specific relationship model; use the third training data set to train the second internal carbon source denitrification specific relationship model again to obtain the third internal carbon source denitrification perfect relationship model; The first training data set is the historical actual parameters and historical actual internal carbon source denitrification rate of any water plant participating in the operation decision-making of the biochemical pool to be tested for the past six months to one year or more; The second training data set is the historical actual parameters of the water plant currently involved in the operation decision of the biochemical pool to be tested for more than half a year to one year and the historical actual internal carbon source denitrification rate; The third training data set is the historical actual parameters and historical actual internal carbon source denitrification rates corresponding to all water plants participating in the operation decision-making of the biochemical pool to be tested in the past two years when denitrification mainly based on enhanced internal carbon source denitrification tended to occur and the current operation parameters were optimal; The first internal carbon source denitrification general relationship model, the second internal carbon source denitrification specific relationship model and the third internal carbon source denitrification perfect relationship model are deep learning models.

8. The operation decision system for judging the process mode and regulating parameters of a biochemical pool according to claim 7, characterized in that: When the process mode tends to denitrification mainly based on enhanced internal carbon source denitrification and the current operating parameters are optimal, the current actual parameters are obtained, and the current actual parameters and the current actual internal carbon source denitrification rate are used as a set of data in the third training data set to train the second internal carbon source denitrification specific relationship model.

9. The operation decision system for judging the process mode and regulating parameters of a biochemical pool according to claim 2, characterized in that: The first scene parameter control module includes: The adjustable parameter sorting unit is used to screen all the permutations and combinations of the operating control parameters under the target internal carbon source denitrification rate according to the adjustable parameter interval to obtain the optimal permutation and combination according to all the permutations and combinations of the operating control parameters under the target internal carbon source denitrification rate and the operating business scenario of the biochemical pool to be tested; All operation control parameters include: suspended solids concentration of biochemical pool mixed liquor, volatile suspended solids concentration of biochemical pool mixed liquor, external reflow ratio, internal reflow ratio, dissolved oxygen concentration, carbon source dosage and sludge age; The adjustable parameter interval acquisition unit is used to input the optimal combination into the adjustable parameter interval operation model set in advance to obtain the control range of the optimal combination of operation control parameters under the target internal carbon source denitrification rate.

10. The operation decision system for judging the process mode and regulating parameters of a biochemical pool according to claim 9, characterized in that: In the first scenario parameter control module, the operation business scenario of the biochemical pool to be tested is obtained according to the daily average temperature data and the first data in the actual parameters; The first data include: carbon-nitrogen ratio data, carbon-phosphorus ratio data, total nitrogen volumetric load data of anoxic tank, total nitrogen sludge load data of anoxic tank, actual hydraulic retention time data of anaerobic tank, actual hydraulic retention time data of anoxic tank, actual hydraulic retention time data of aerobic tank, actual hydraulic retention time data of post-anoxic tank, actual hydraulic retention time data of post-aerobic tank, actual total hydraulic retention time data of biochemical tank, actual hydraulic retention time data of secondary sedimentation tank, hydraulic load data of secondary sedimentation tank and solid load data of secondary sedimentation tank.

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