High-efficiency air floatation device based on low-carbon intelligent control technology

Abstract

The present application relates to the field of sewage treatment, and particularly relates to a high-efficiency air flotation device based on low-carbon intelligent control technology. The high-efficiency air flotation device comprises an air flotation treatment module, a particle trapping module, a non-disturbance mud scraping module, a sludge production defoaming module, a real-time feedback module and an intelligent control module. The present application can solve the inherent problems of high energy consumption caused by the inability of the existing air flotation technology to accurately control the dosing amount and the backflow amount, as well as some defects existing in the actual operation process. By reducing energy consumption, the present application breaks the great obstacle to the popularization and application of air flotation technology under the double-carbon background. The present application can automatically switch the operating conditions according to real-time water quality data without manual intervention, and has the advantages of intelligence, low carbon, energy saving and high efficiency. Meanwhile, the present application provides multiple control modes and has the functions of self-adaptation and self-learning.

Description

Technical Field

[0001] This invention relates to the field of wastewater treatment, and specifically to a high-efficiency air flotation device based on low-carbon intelligent control technology. Background Technology

[0002] Air flotation technology boasts advantages such as high hydraulic loading, compact tank design, and excellent phosphorus removal efficiency. With my country's increasingly stringent requirements for total phosphorus (TP) levels in wastewater treatment effluent, its application in the wastewater treatment field is becoming increasingly widespread. However, in recent years, the high energy consumption of air flotation devices has become a growing concern under the backdrop of dual carbon emissions, severely hindering its development. Currently, inventions in this field mainly focus on air flotation structural design, improved dissolved air methods, and energy reuse, rather than utilizing water quality feedback for refined control to achieve energy conservation and emission reduction at the source.

[0003] Furthermore, the dissolved air flotation (DAF) process has several drawbacks in actual operation. Scum at the end of the separation zone tends to settle, affecting effluent quality; the scraper of the sludge discharge machine easily disturbs the sludge, causing particles to settle; although the suspended solids (SS) in the effluent meet standards, it often contains a small amount of visible particulate matter; and the gas content in the produced sludge leads to unstable operation and low efficiency of the dewatering machine. These problems significantly hinder the widespread application of DAF in wastewater treatment.

[0004] This invention employs a series of innovative methods, combining intelligent control technology, particle capture technology, undisturbed sludge pushing technology, and sludge defoaming technology, to develop a new type of high-efficiency, low-carbon air flotation device that is completely different from traditional air flotation facilities. Summary of the Invention

[0005] The purpose of this invention is to provide a high-efficiency air flotation device based on low-carbon intelligent control technology, which mainly solves a series of problems in the background technology.

[0006] To achieve the above objectives, the technical solution of this invention is: a high-efficiency air flotation device based on low-carbon intelligent control technology. The high-efficiency air flotation device includes an air flotation treatment module, a particle collection module, a undisturbed sludge scraping module, a sludge defoaming module, a real-time feedback module, and an intelligent control module. The air flotation treatment module is divided along the water flow direction into an inlet pipe, a coagulation zone, a flocculation zone, an inflow zone, a separation zone, a product water zone, a sludge discharge zone, and a return dissolved air unit. The particle collection module has a particle collection plate and a discharge pipe in the separation zone. The undisturbed sludge scraping module optimizes the angle between the scraper and the machine body of the sludge discharge machine in the separation zone to 45°-75°. The sludge defoaming module has a defoaming stirring device in the sludge discharge zone, and the sludge discharge pump is centrally placed at the end. The real-time feedback module has TP detection devices installed in the inlet and outlet pipes respectively. The intelligent control module connects to the TP detection device at one end via a transmission cable, and controls the coagulant dosing pump and the product water return pump at the other end. The system has a built-in control model and multiple energy-saving operating conditions. The control model has a hierarchical control mode, an adaptive fine control mode, and a big data intelligent control mode.

[0007] Furthermore, the particle collection plate has a length of 800-1200mm, an angle of 45°-65° with the wall, and its bottom position is 500-800mm higher than the product water collection pipe.

[0008] Furthermore, the discharge pipe is a perforated circular pipe with a diameter of DN300-DN500mm, made of metal or high-strength plastic. Two holes are opened at the top, with a diameter of DN50-DN75; one hole is offset to the left by 22.5°, and the other to the right by 45°. The perforation is non-uniform throughout, with the perforation density gradually decreasing along the sludge discharge direction. The length of the discharge pipe is the distance between the two side walls, and it is placed horizontally on the particle collection plate, with perforations on the end wall for sludge discharge.

[0009] Furthermore, the defoaming and stirring device employs two sets of frame-type stirrers, placed symmetrically. The stirrer speed is 10-50 r / min, the paddle spacing is 20-40 cm, and the length is 80-100 cm.

[0010] Furthermore, both the coagulant dosing pump and the permeate return pump are variable frequency pumps with a frequency range of 0-50Hz.

[0011] Furthermore, the TP detection device employs two identical sets of equipment, with a TP detection range of 0-1.5 mg / L. One set is installed before the inlet pipe outputs a feedback signal, and the other set is installed after the outlet pipe outputs a feedback signal. The feedback signals are transmitted to the intelligent control module via a transmission cable as data input.

[0012] Furthermore, the intelligent control module includes a controller, a server, an operator station computer, a database, and a control model. The front and back feedback data are homogenized; the front feedback is used to determine the baseline values ​​for dosage and reflux ratio, while the back feedback is used for dynamic adjustment of dosage and reflux ratio. Closed-loop control is achieved through the control model to achieve refined and low-carbon operation management.

[0013] Furthermore, the control model quantifies the difference between the actual effluent TP and the designed effluent TP, and executes targeted pump start-up conditions. Under the premise of ensuring that the effluent water quality meets the standards, it maximizes the utilization of the system's processing capacity to achieve the purpose of energy saving and chemical saving.

[0014] Furthermore, the control model has a hierarchical control mode, an adaptive fine control mode, and a big data intelligent control mode. The hierarchical control mode classifies the operating conditions of the flotation tank according to the feedback, and formulates corresponding control strategies for the dosage and permeate return ratio for each level. The adaptive fine control mode establishes a model algorithm based on the present value and trend of the feedback to perform adaptive fine control of the dosage and permeate return ratio. The big data intelligent control mode establishes a flotation tank control database and model, and uses genetic algorithms and big data analysis to realize intelligent control of the flotation tank.

[0015] Furthermore, the control model can be controlled in cycles T. Within each cycle T, the dosage and permeate return ratio are calculated based on real-time feedback and historical data, and then executed. The cycle T can be selected from 5 to 120 minutes.

[0016] Furthermore, the hierarchical control mode includes the following process:

[0017] S1: System input total phosphorus concentration (TP) of influent water in And real-time traffic Q, as basic data;

[0018] S2: Based on the data from S1, calculate the design baseline values ​​for dosage and reflux ratio. The calculation process and parameters can be updated in advance according to the type and concentration of the added reagent.

[0019] S3: Average total phosphorus concentration (TP) of system input effluent out and the designed total phosphorus concentration (TP) of the effluent s This serves as the judgment data. Through quantification of TP... out and TP s Based on the difference between the values, select the corresponding pump start-up condition to minimize the dosage and system energy consumption;

[0020] S4: Based on the parameter values ​​of S3, determine the operating conditions of the coagulant dosing pump and the permeate return pump. The graded control mode sets four operating conditions: (1) When 0 ≤ TP out ≤1 / 4TPs At that time, the overdose coefficient was taken as 1.0, and the permeate reflux ratio was taken as 6.0%;

[0021] (2) When 1 / 4TP s <TP out ≤1 / 2TP s When the dosing excess coefficient is 1.3 and the permeate reflux ratio is 6.7%; (3) when 1 / 2TP s <TP out ≤3 / 4TP s When the dosing excess coefficient is 1.6 and the permeate reflux ratio is 8.3%; (4) when 3 / 4 TP s <TP out ≤TP s At that time, the overdose coefficient was taken as 2.0, and the permeate reflux ratio was taken as 10%.

[0022] S5: Based on the execution conditions determined in S4, formulate corresponding control strategies for coagulant dosage and permeate return ratio, and generate corresponding control instructions;

[0023] S6: The controller automatically sends control commands to the coagulant dosing pump and the permeate return pump, enabling precise control of the dosing amount and the permeate return pump.

[0024] S7: Managers can manually adjust the operating parameters based on the actual operation of the strategy and the quality of the effluent.

[0025] Furthermore, the adaptive fine control mode sets the coagulant dosage control algorithm:

[0026]

[0027] In the formula, m is the controlled dosage, in mg / L;

[0028] m0 is the design coagulant dosage calculated based on the current influent flow rate and influent TP, which is related to the type and concentration of the agent.

[0029] TP s The target value for the designed effluent is mg / L;

[0030] TP n The current and subsequent feedback TP detection values ​​are in mg / L.

[0031] TP n-1 The TP detection value, in mg / L, is the feedback value from the previous stage.

[0032] 2.0 is the overdose coefficient for pesticide application, which is the actual dosage / theoretical dosage.

[0033] k is a manual correction system that can be entered manually; the default value is 1.

[0034] This serves as the correction coefficient for the difference between TP and the target value in the post-feedback analysis.

[0035] This is a post-feedback TP trend correction system.

[0036] Furthermore, the adaptive fine control mode sets the product water reflux ratio control algorithm:

[0037]

[0038] In the formula, n is the permeate reflux ratio, %.

[0039] TP s The target value for the designed effluent is mg / L;

[0040] TP n The current and subsequent feedback TP detection values ​​are in mg / L.

[0041] TP n-1 The TP detection value, in mg / L, is the feedback value from the previous stage.

[0042] 10% is the baseline coefficient for the product water reflux ratio;

[0043] k is a manual correction system that can be entered manually; the default value is 1.

[0044] This serves as the correction coefficient for the difference between TP and the target value in the post-feedback analysis.

[0045] This is the TP trend correction coefficient for post-feedback.

[0046] Furthermore, the big data intelligent control mode includes a method for establishing a standard database:

[0047] S1: Setting parameter F n Let TP' be the influent flow rate at a certain time t. n Let TP be the influent TP value at a certain time t. n Let TP be the effluent TP value at a certain time t. n +1 represents the effluent TP detection value at time t+1 (the time difference between t+1 and time t is adjustable, generally representing the time it takes for the control strategy to take effect), mn represents the control dosage at a certain time t, and n... n The control product water recirculation ratio at a certain time t;

[0048] S2: F n ,TP' n TP n TP n+1 m n n nData objects composed of time t are stored to establish a basic database;

[0049] S3: Set up a validation model, validate the model against the base database, and store validated data objects into the standard database. The validation model is as follows:

[0050]

[0051] In the formula, TP tar The designed effluent TP (total phosphorus) concentration is mg / L.

[0052] j% is the lower limit of the validation model's judgment value, which is adjustable;

[0053] i% is the upper limit of the discrimination value of the validation model, which is adjustable;

[0054] S4: The dosage and permeate reflux ratio in the standard database can be manually corrected, adjusted and stored to further improve the standard database.

[0055] Furthermore, the big data intelligent control mode includes the following operation process:

[0056] S1: Collect the influent flow rate F under real-time operating condition P. p Total phosphorus concentration (TP) in influent p and total phosphorus concentration (TP) in effluent p ;

[0057] S2: Search the standard database, if F p ,TP' p TP p The value of F is compared with that of a certain data object O in the standard database. o ,TP' o TP o If the error of the value is within ±y%, the current working condition is considered to be the same as the working condition of O in the standard database; otherwise, the search continues. Among them, ±y% is the working condition similarity, and the recommended value range is ±5% to ±10%.

[0058] S3: When an operating condition O that is the same as operating condition P is found, the control strategy of the corresponding object O is executed.

[0059] S4: If the standard database is traversed and no working condition identical to working condition P is found, the automatic execution hierarchical control mode, adaptive fine control mode, or manual addition of control strategies can be set.

[0060] S5: The data information of working condition P is automatically stored in the basic database and the model is verified. If it meets the standard, it is stored in the standard database for future reference.

[0061] Compared with existing technologies in the same field, this invention has the following innovations and significant advantages:

[0062] 1. This invention proposes particle capture technology, undisturbed sludge discharge technology, and sludge defoaming technology, which can solve typical problems that occur in the actual operation of existing air flotation facilities and further improve water and sludge quality.

[0063] 2. This invention utilizes intelligent control technology to precisely regulate the dosage and reflux ratio, thereby achieving the goal of low-carbon operation.

[0064] 3. This invention is the first to propose determining the degree of excessive chemical dosing by quantifying the difference between the actual effluent TP and the designed effluent TP, and formulating corresponding control strategies to maximize the system's processing capacity and achieve energy and chemical savings from the source.

[0065] 4. This invention establishes a real-time control model based on water quality feedback, and provides three control modes. It has adaptive and self-learning functions and can be widely applied to the air flotation process in the field of wastewater treatment.

[0066] 5. This invention allows for manual or automatic switching of operating conditions according to actual needs, and automatically adjusts parameters based on real-time water quality data, further improving the level of intelligent management. Attached Figure Description

[0067] The accompanying drawings are for illustrative purposes only and should not be construed as limiting the scope of this patent. To better illustrate this embodiment, some components in the drawings may be omitted, enlarged, or reduced, and do not represent actual dimensions. It is understandable to those skilled in the art that some well-known structures and their descriptions may be omitted in the drawings.

[0068] Figure 1 This is a schematic diagram of the overall structure of a specific embodiment of the present invention;

[0069] Figure 2 This is a cross-sectional schematic diagram of the particle capture module in a specific embodiment of the present invention;

[0070] Figure 3 This is a plan view of the particle capture module in a specific embodiment of the present invention;

[0071] Figure 4 This is a schematic diagram of a non-disturbing sludge scraping module in a specific embodiment of the present invention;

[0072] Figure 5 This is a plan view of the sludge defoaming module in a specific embodiment of the present invention;

[0073] Figure 6 This is a cross-sectional schematic diagram of the defoaming stirring device in a specific embodiment of the present invention;

[0074] Figure 7 This is a schematic diagram of the structure of the intelligent control module in a specific embodiment of the present invention;

[0075] Figure 8 This is a flowchart illustrating a hierarchical control model in a specific embodiment of the present invention.

[0076] Figure label:

[0077] 1-Inlet pipe; 2-Coagulation zone; 3-Flocculation zone; 4-Inflow zone; 5-Separation zone; 6-Product water zone; 7-Outlet pipe; 8-Sludge discharge zone; 9-Inlet TP detection device; 10-Outlet TP detection device; 11-Agitator; 12-Coagulant dosing pump; 13-Dosing pipe; 14-Flocculant dosing pump; 15-Dissolved air water pressurization tank; 16-Gas-liquid transport pipeline; 17-Dissolved air release device; 18-Stable flow uniform water distribution system; 19-Sludge discharge machine; 20-Product water collection pipe; 21-Particle collection plate; 22-Discharge pipe; 23-Defoaming agitator; 24-Sludge discharge pump; 25-Product water return pipeline; 26-Product water return pump; 27-Air compressor; 28-Ventilation pipe; 29-Transmission cable; 30-Intelligent control module. 301 - Operator station computer; 302 - Server; 303 - Controller; 304 - Database; 305 - Control model. Detailed Implementation

[0078] The technical solution of the present invention will now be clearly and completely described with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the implementation of the present invention, and not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0079] This invention discloses a high-efficiency air flotation device based on low-carbon intelligent control technology, which can automatically adjust the operating conditions of the dosing pump and the product water return pump according to real-time TP feedback, while further improving water quality and sludge quality, achieving the purpose of low-carbon operation, energy saving and chemical saving. Figure 1 The diagram shown is an overall structural schematic of a specific embodiment of the present invention, which consists of an air flotation treatment module, a particle collection module, a undisturbed sludge scraping module, a sludge defoaming module, a real-time feedback module, and an intelligent control module.

[0080] The air flotation treatment module includes an inlet pipe 1, a coagulation zone 2, a flocculation zone 3, an inflow zone 4, a separation zone 5, a product water zone 6, an outlet pipe 7, a sludge discharge zone 8, and a reflux dissolved air unit. The coagulation zone 2 is equipped with an agitator 11, and coagulants such as PAC are added through the coagulant dosing pump 12 and the dosing pipe 13. The flocculation zone 3 is equipped with an agitator 11, and flocculants such as PAM are added through the flocculant dosing pump 14 and the dosing pipe 13. The inflow zone 4 uses the gas-liquid transport pipeline 16 to transfer the dissolved air water in the dissolved air water pressurization tank 15, and completes the bubble release process through the dissolved air release device 17 and the steady flow uniform water distribution system 18. The separation zone 5 carries out the air flotation separation process. The product water flows to the product water zone 6 through the product water collection pipe 20, and the scum is transported to the sludge discharge zone 8 through the sludge discharge machine 19. The product sludge in the sludge discharge zone 8 is discharged through the sludge discharge pump 24. The return dissolved air unit lifts part of the product water to the dissolved air water pressurization tank 15 through the product water return pipeline 25 and the product water return pump 26. At the same time, the air compressor 27 and the air pipe 28 are used to dissolve high-pressure air into the product water to form dissolved air water.

[0081] like Figure 2 , 3 As shown, the particle collection module includes a particle collection plate 21 and a discharge pipe 22. During operation, scum often settles at the end of the separation zone 5, resulting in a small amount of visible particles in the produced water. By adding a particle collection plate 21 to the end wall, the settling scum is effectively intercepted, and the discharge pipe 22 collects and removes the scum, further improving the effluent quality. The discharge pipe 22 has a diameter of DN300-DN500mm and is made of metal or high-strength plastic. It has two upward-facing holes at the top, with a diameter of DN50-DN75. One hole is offset to the left by 22.5°, and the other is offset to the right by 45°. The holes are non-uniformly distributed throughout, with the hole density gradually decreasing along the scum discharge direction. Through this design, effective collection and removal of settling scum are achieved.

[0082] like Figure 4 As shown, the optimized setting of the undisturbed sludge scraping module is that the angle between the scraper and the machine body of the sludge discharge machine in the separation zone is 45°-75°. Traditional sludge discharge machines have a scraper angle of 90° with the machine body. During the sludge pushing process, some scum moves downwards and backwards with the water flow, resulting in incomplete scum removal and affecting the quality of the effluent. This invention adjusts the angle between the scraper and the machine body to 45°-75°, utilizing water flow to gather the scum within the angled space, preventing the scum from dispersing and sinking.

[0083] like Figure 5 , 6As shown, the sludge defoaming module employs two sets of frame-type agitators, symmetrically placed. The agitator speed is 10-50 r / min, the paddle spacing is 20-40 cm, and the length is 80-100 cm. In actual operation, the sludge produced by air flotation often contains a certain amount of air bubbles, leading to unstable and inefficient subsequent dewatering. This invention uses frame-type agitators to remove excess air bubbles from the sludge, further improving the quality of the sludge.

[0084] The real-time feedback module includes TP detection devices 9 and 10 and a matching transmission cable 29. TP detection devices 9 and 10 are installed on the inlet pipe 1 and outlet pipe 7 respectively, and transmit signals to the intelligent control module 30 via the transmission cable 29 for real-time feedback on water quality fluctuations at the inlet and outlet. TP detection device 9 generates a pre-feedback signal for determining the baseline values ​​for chemical dosage and reflux ratio, while TP detection device 10 generates a post-feedback signal for dynamic adjustment of chemical dosage and reflux ratio. In actual operation, excessive chemical dosage often occurs, resulting in effluent water quality far below design standards, leading to energy and chemical waste. This invention, through pre- and post-feedback settings, accurately calculates the appropriate chemical dosage: First, based on the inlet TP, the baseline values ​​for chemical dosage and reflux ratio are determined to ensure the minimum chemical dosage; then, based on the difference between the quantified actual effluent TP and the designed effluent TP, the degree of chemical overdosing is judged, and a corresponding control strategy is formulated. While ensuring effluent meets standards, the system's processing capacity is fully utilized to achieve energy and chemical savings.

[0085] The intelligent control strategy automatically calculates the actual dosage of the coagulant based on the total phosphorus concentration in the influent. The calculation model is related to the type and concentration of the added coagulant. Assuming PAC solution is used as the coagulant, the calculation model for the actual dosage is as follows:

[0086]

[0087] In the formula, m is the actual dosage of the drug, in mg / L;

[0088] k is the overdosing coefficient, which is assigned by the intelligent control strategy;

[0089] ΔTP represents the total phosphorus removal amount, in mg / L;

[0090] The molar mass of Al2O3 is taken as 102 g / mol;

[0091] c represents the Al2O3 content in the PAC solution, in mg / L;

[0092] M P The molar mass of phosphorus is 31 g / mol.

[0093] like Figure 7As shown, the intelligent control module 30 includes a controller 303, a server 302, an operator station computer 301, a database 304, and a control model 305. The server 302 receives feedback signals from the TP detection devices 9 and 10 and influent flow data, and performs data homogenization processing as input to the control model 305. The control model 305 has a hierarchical control mode, an adaptive fine control mode, and a big data intelligent control mode, which can be selected by management personnel. Based on the input real-time data, the control model 305 calculates the optimal dosage and reflux ratio, and outputs corresponding control commands. The controller 303 controls the operation of the coagulant dosing pump and the permeate return pump according to the commands, realizing closed-loop control. The database 304 is used for model data accumulation and machine learning to enhance the accuracy of PID data control and improve energy saving and consumption reduction effects.

[0094] Further explanation of the energy-saving and drug-saving effects of the application:

[0095] The influent flow rate under operating conditions is 100,000 m³ / h. 3 The influent TP of the flotation tank is 1.5 mg / L, and the designed effluent TP is 0.3 mg / L. The coagulant used is PAC solution with an Al2O3 content of 10%, priced at 1000 yuan / ton. The tank operates 365 days a year, 24 hours a day, with an electricity cost of 0.8 yuan / kWh.

[0096] 1. Comparison of operating conditions

[0097] Traditional air flotation unit: The entire process operates under condition 4, i.e., an excess chemical dosage coefficient of 2.0 and a permeate reflux ratio of 10.0%. The PAC solution dosage is approximately 162.4 kg / h, and the average flow rate of the permeate reflux pump is 416.7 m³ / h. 3 / h, power 110kW / h.

[0098] The device of this invention operates cyclically under four conditions throughout the entire process: an average excess reagent coefficient of 1.5, an average permeate reflux ratio of 7.8%, a PAC solution dosage of 121.8 kg / h, and an average permeate reflux pump flow rate of 325.0 m³ / h. 3 / h, power 86kW / h.

[0099] 2. Economic Benefit Estimation

[0100]

[0101] Calculations based on operating conditions:

[0102] Annual pesticide savings: 365 × 24 × (162.4 - 121.8) / 1000 = 356 tons;

[0103] Annual energy savings from the reflux pump: 365 × 24 × (110 - 75) / 10000 = 307,000 kWh;

[0104] Annual energy savings of the air compressor: 365 × 24 × (22.5 - 17.5) / 10000 = 44,000 kWh;

[0105] Annual savings: 356 × 1000 × 10 -4 +(30.7+4.4)×0.8=640,000 yuan, accounting for 27% of the total cost. On average, this can save a quarter of the operating cost and reduce CO2 emissions by 305 tons per year.

[0106] Obviously, the above embodiments are merely illustrative examples for clear explanation and are not intended to limit the implementation. Those skilled in the art will recognize that other variations or modifications can be made based on the above description. It is neither necessary nor possible to exhaustively list all possible implementations. However, obvious variations or modifications derived therefrom are still within the scope of protection of this invention. Furthermore, any single innovative element is within the scope of protection of this invention, and all reasonable values ​​of any parameter mentioned in the patent are within the scope of protection of this invention.

Claims

1. A high-efficiency air flotation device based on low-carbon intelligent control technology, characterized in that, The high-efficiency air flotation device includes an air flotation treatment module, a particle collection module, a undisturbed sludge scraping module, a sludge defoaming module, a real-time feedback module, and an intelligent control module. The air flotation treatment module is divided along the water flow direction into an inlet pipe, a coagulation zone, a flocculation zone, an inflow zone, a separation zone, a product water zone, a sludge discharge zone, and a reflux dissolved air unit. The particle collection module has a particle collection plate and a discharge pipe in the separation zone. The undisturbed sludge scraping module optimizes the angle between the scraper and the machine body of the sludge discharge machine in the separation zone to 45°-75°. The sludge defoaming module has a defoaming stirring device in the sludge discharge zone, and the sludge discharge pump is centrally located at the end. The real-time feedback module... Do not install TP detection devices on the inlet and outlet water pipes; the intelligent control module connects to the TP detection device at one end via a transmission cable, and controls the coagulant dosing pump and the permeate return pump at the other end. The system has a built-in control model and multiple energy-saving operating conditions; the control model has a hierarchical control mode, an adaptive fine control mode, and a big data intelligent control mode; the intelligent control module includes a controller, a server, an operator station computer, a database, and a control model; it performs homogenization processing on the front and back feedback data, with the front feedback used to determine the baseline values ​​for dosing and return ratio, and the back feedback used for dynamic adjustment of dosing and return ratio, achieving closed-loop control through the control model; The control model has a hierarchical control mode, an adaptive fine control mode, and a big data intelligent control mode. The hierarchical control mode divides the operating conditions of the flotation tank into different levels based on the feedback, and formulates corresponding control strategies for the dosage and permeate return ratio for each level. The adaptive fine control mode establishes a model algorithm based on the present value and trend of the feedback before and after, and performs adaptive fine control on the dosage and the permeate return ratio; the big data intelligent control mode establishes a control database for the flotation tank and uses a verification model and big data analysis to achieve intelligent control of the flotation tank. The hierarchical control mode includes the following process: Input total phosphoric acid concentration (TP) of influent in Real-time traffic Q; Calculate the baseline values ​​for dosage and reflux ratio; Input effluent total phosphorus concentration (TP) out Design effluent concentration TP s ; The overdose coefficient is denoted as k, and the permeate reflux ratio is denoted as R; When 0≤TP out ≤1 / 4TP s At that time, the overdose coefficient was taken as 1.0, and the permeate reflux ratio was taken as 6.0%; When 1 / 4TP s <TP out ≤1 / 2TP s At that time, the overdose coefficient was taken as 1.3, and the permeate reflux ratio was taken as 6.7%; When 1 / 2TP s <TP out ≤3 / 4TP s At that time, the overdose coefficient was taken as 1.6, and the permeate reflux ratio was taken as 8.3%; When 3 / 4TP s <TP out ≤TP s At that time, the overdose coefficient was taken as 2.0, and the permeate reflux ratio was taken as 10%. Outputs coagulant dosage and permeate return flow rate; Automatically regulates the operating conditions of the dosing pump and the permeate return pump; Based on operating conditions and effluent quality, adjustments are made manually to circulate the system until the total phosphorus concentration (TP) in the input and effluent is reached. out Design effluent concentration TP s step; The adaptive fine control mode sets the coagulant dosage control algorithm: The adaptive fine control mode sets the product water reflux ratio control algorithm: In the formula, m is the controlled dosage (mg / L); m0 is the designed coagulant dosage calculated based on the current influent flow rate and influent TP, which is related to the type and concentration of the coagulant; TP s The target values ​​for the designed effluent are mg / L and TP. n The current and subsequent feedback of TP detection values, mg / L; TP n-1 TP detection value after the previous stage, mg / L; 2.0 is the dosing baseline overdose coefficient, which is the actual dosage / theoretical dosage; k is the manual correction coefficient, which is 1 by default and can be manually entered and adjusted. This serves as the correction coefficient for the difference between TP and the target value in the post-feedback analysis. This is the post-feedback TP trend correction coefficient; In the formula, n is the product water recirculation ratio, %; 10% is the product water recirculation ratio baseline coefficient; The length of the particle collection plate is matched with the size of the separation zone and forms a certain angle with the wall. The bottom is a certain distance higher than the product water collection pipe, which facilitates the particle collection function. The discharge pipe is a perforated round pipe with a diameter matching the size of the particle collecting plate. It has two rows of holes facing upwards, with the holes closer to the particle collecting plate forming an angle of 67.5° with the horizontal plane and the holes further away from the particle collecting plate forming an angle of 45° with the horizontal plane. The pipe has non-uniform perforations throughout, with the perforation density gradually decreasing along the sludge discharge direction. The length of the discharge pipe is the distance between the two side walls. It is placed horizontally on the particle collecting plate, with perforations on the end wall for sludge discharge.

2. The high-efficiency air flotation device based on low-carbon intelligent control technology according to claim 1, characterized in that, The defoaming mixing device uses two sets of frame mixers, placed symmetrically; by setting the mixer speed, paddle spacing and length, the function of rapid defoaming is achieved.

3. The high-efficiency air flotation device based on low-carbon intelligent control technology according to claim 1, characterized in that, Both the coagulant dosing pump and the permeate return pump are variable frequency pumps with a frequency range of 0-50Hz.

4. The high-efficiency air flotation device based on low-carbon intelligent control technology according to claim 1, characterized in that, The TP detection device uses two sets of the same model, with a TP detection range of 0-1.5 mg / L; one set is installed before the water inlet pipe outputs a feedback signal, and the other set is installed after the water outlet pipe outputs a feedback signal.

5. The high-efficiency air flotation device based on low-carbon intelligent control technology according to claim 1, characterized in that, The control model determines the degree of excessive chemical dosage by quantifying the difference between the actual effluent TP and the designed effluent TP, and executes the corresponding pump start-up condition. Under the premise of ensuring that the effluent water quality meets the standards, it maximizes the utilization of the system's processing capacity and achieves the purpose of energy saving and chemical saving.

6. The high-efficiency air flotation device based on low-carbon intelligent control technology according to claim 1, characterized in that, The big data intelligent control mode collects data on the influent flow rate of the flotation tank, the pre-feedback total pressure (TP), the post-feedback TP, and the corresponding dosing and reflux ratio control strategies to establish a control database. A verification model is set up to evaluate the effectiveness of the control strategies in the database or to manually correct them. Control strategies that pass the verification are stored in the control standard database. Using big data analysis, control strategies are automatically generated based on real-time operating conditions to achieve the purpose of intelligent control.

7. The high-efficiency air flotation device based on low-carbon intelligent control technology according to claim 1, characterized in that, The steps for establishing a standard database in the big data intelligent control mode are as follows: Setting parameter F n Let TP' be the influent flow rate at a certain time t. n Let TP be the influent TP value at a certain time t. n Let TP be the effluent TP value at a certain time t. n+1 The effluent TP value at time t+1; m n Let n be the control dosage at a certain time t. n The control product water recirculation ratio at a certain time t; F n ,TP' n TP n TP n+1 m n n n Data objects composed of time t are stored to establish a basic database; Set up a validation model, validate the model against the base database, and store the validated data objects into the standard database. The validation model is as follows: ; The design effluent TP is in mg / L; j% is the lower limit of the validation model, which is adjustable; i% is the upper limit of the validation model, which is adjustable. The dosage and permeate reflux ratio in the standard database are manually corrected, adjusted and stored to further improve the standard database.

8. The high-efficiency air flotation device based on low-carbon intelligent control technology according to claim 1, characterized in that, The operation process of the big data intelligent control mode is as follows: Collect the influent flow rate F under real-time operating condition P p Total phosphorus concentration (TP) in influent p and total phosphorus concentration (TP) in effluent p ; Search the standard database; if F p ,TP' p TP p The value of F is compared with that of a certain data object O in the standard database. o ,TP' o TP o If the error of the value is within ±y%, the current working condition is considered to be the same as the working condition of O in the standard database; otherwise, the search continues. Among them, ±y% is the working condition similarity, and the recommended value range is ±5% to ±10%. When a working condition O that is the same as working condition P is found, the control strategy of the corresponding object O is executed. If the standard database is traversed and no working condition identical to working condition P is found, then the automatic execution hierarchical control mode, adaptive fine control mode, or manual addition of control strategies are set. The data information of working condition P is automatically stored in the basic database and the model is verified. If it meets the standard, it is stored in the standard database for future reference.

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