Wastewater Treatment System Based on AI-Controlled MBBR-DAF Process with Enhanced Treatment Efficiency

Abstract

The present invention relates to an artificial intelligence-based MBBR-DAF-based wastewater treatment system with improved treatment efficiency, and is configured to improve the uniformity of mixing inside the treatment tank and reduce the variation in the concentration of the mixed liquid and the occurrence of stagnant areas by including a stirrer (100) with a variable blade inclination angle. The stirrer (100) includes a rotating shaft (110), a plurality of blades (120), an angle adjustment unit (130), a first blade (124), and a second blade (126), and is configured so that the blade inclination angle and folding state vary according to changes in the viscosity and flow rate of the wastewater.

Description

Technology Field

[0001] The present invention relates to the field of wastewater treatment technology, and more specifically, to an artificial intelligence-based MBBR-DAF-based wastewater treatment system with improved treatment efficiency that is equipped with a stirrer having a variable blade inclination angle inside an MBBR reactor to improve mixing uniformity and mixing stability inside the treatment tank and maintain a stable mixing state in response to changes in wastewater viscosity. Background Technology

[0002] Generally, industrial wastewater and domestic sewage contain organic matter, nitrogen, phosphorus, suspended solids (SS), oil, and fine sludge, and various biological and physicochemical treatment processes are used to remove these pollutants. Recently, MBBR-DAF-based wastewater treatment systems, which combine the MBBR (Moving Bed Biofilm Reactor) process using a mobile bed carrier and the DAF (Dissolved Air Flotation) process using pressurized flotation separation, are widely used to improve treatment efficiency and reduce installation area.

[0003] The above MBBR process is a method in which a plurality of media are introduced into a reactor to form a microbial film on the surface of the media, and organic matter and nitrogen removal are performed using this. Compared to the activated sludge process, the MBBR process has the advantages of maintaining a high microbial concentration, excellent stability against load fluctuations, and relatively low sludge generation. In addition, the DAF process is a method of separating suspended solids, oil, and sludge by flotation using microbubbles generated by depressurizing pressurized dissolved air, and has the advantages of excellent solid removal efficiency and reducing the load on downstream processes.

[0004] However, conventional MBBR-DAF-based wastewater treatment systems had problems such as localized uneven distribution of the carrier or the formation of dead zones within the reactor due to insufficient flow control within the reactor. In particular, under conditions of high concentration MLSS (activated sludge suspended solids, hereinafter MLSS) or high viscosity industrial wastewater, the dispersion of the carrier was uneven, which could lead to reduced activity of the microbial film, reduced mixing stability, and reduced treatment efficiency.

[0005] Furthermore, most conventional agitators consist of a simple rotating structure with a fixed blade angle, which presented a problem in that it was difficult to actively respond to changes in wastewater viscosity or operating conditions. Consequently, problems such as insufficient mixing in specific areas, variations in the concentration of the mixed liquid, and the formation of dead zones occurred in some regions.

[0006] In particular, when the concentration of activated sludge increases, the viscosity of the mixture rises, which can lead to a decrease in mixing efficiency and biological treatment efficiency; conventional structures had limitations in that it was difficult to properly adjust the blade inclination angle and mixing state in response to such viscosity changes.

[0007] Meanwhile, in the DAF process, sludge floated by microbubbles accumulates at the top of the treatment tank. If the sludge removal efficiency is insufficient, sludge is re-mixed or flow imbalance occurs, leading to an increased load on the downstream biological treatment process. Additionally, there was a problem where the high moisture content of the floating sludge increased sludge treatment costs.

[0008] In particular, conventional technology has not sufficiently presented stirring structures and control technologies that comprehensively consider carrier flow control, improved mixing stability, sludge removal stability in the DAF process, and energy efficiency of the entire process. Furthermore, artificial intelligence-based control technology that dynamically adjusts the operating conditions of the stirrer by analyzing changes in wastewater characteristics, influent load changes, and the internal state of the treatment tank in real time has also been insufficient.

[0009] Therefore, there is a need to develop a new type of MBBR-DAF-based wastewater treatment system that can actively control the flow-forming ability of the agitator according to changes in wastewater flow rate, viscosity, organic load, and carrier concentration, while also improving carrier dispersion uniformity and mixing stability, and improving sludge removal efficiency and overall process stability of the DAF process.

[0011] [Prior Art Literature]

[0012] [Patent Literature]

[0013] Korean Patent Publication No. 10-2012-0069587 (June 28, 2012) The problem to be solved

[0014] The present invention aims to solve the aforementioned problems, and the objective of the present invention is to provide an MBBR-DAF-based wastewater treatment system capable of improving the uniformity of mixing inside the treatment tank and reducing variations in the concentration of the mixed liquid and the occurrence of stagnant areas by including a stirrer in which the inclination angle of the blade can be adjusted in response to changes in the viscosity and flow rate of the wastewater.

[0015] Furthermore, the objective of the present invention is to provide an MBBR-DAF-based wastewater treatment system capable of maintaining a stable mixing state under various operating conditions by applying a blade structure that folds and returns according to fluid resistance.

[0016] Furthermore, the objective of the present invention is to provide an MBBR-DAF-based wastewater treatment system capable of improving mixing stability by analyzing operating conditions such as COD (Chemical Oxygen Demand), SS (Suspended Solids), viscosity, and flow rate of wastewater in real time, and controlling the rotational speed and blade inclination angle of the agitator based on artificial intelligence accordingly.

[0017] The problems to be solved by the present invention are not limited to those mentioned above, and other problems not mentioned will be clearly understood by those skilled in the art from the description below. means of solving the problem

[0018] The technical problem of the present invention as described above is achieved by the following means.

[0019] (1) In an MBBR-DAF-based wastewater treatment system for removing organic matter, nitrogen components, suspended solids and oil contained in influent wastewater,

[0020] A homogenizing tank (10) for influent characteristics that reduces load fluctuations in downstream processes by mitigating deviations in flow rate, viscosity, SS concentration and organic matter concentration;

[0021] A DAF flotation separation tank (20) that separates suspended solids and oil by flotation using fine bubbles from wastewater that has passed through the above-mentioned influent homogenization tank (10);

[0022] An MBBR reactor (30) equipped with an internal stirrer (100) and performing organic matter oxidation and nitrogen removal using a carrier on wastewater that has passed through the DAF flotation separation tank (20);

[0023] A solid-liquid separation unit (40) for separating treated water and sludge from the mixture treated in the above MBBR reactor (30);

[0024] A treatment tank (50) for storing the treated water that has passed through the solid-liquid separation unit (40); and

[0025] It includes an artificial intelligence control unit (300) that controls the operating state of the agitator (100) according to changes in the characteristics of the wastewater, and

[0026] The above stirrer (100) is,

[0027] A rotating shaft (110) that transmits rotational force;

[0028] A plurality of blades (120) coupled to the above-mentioned rotating shaft (110) to form a fluid flow; and

[0029] It includes a rotation drive unit (140) that rotates the above rotation shaft (110), and

[0030] The blade (120) has a blade shaft (122) as its central axis, and the blade shaft (122) is installed to be rotatable about the rotation axis (110).

[0031] The above-mentioned stirrer (100) includes an angle adjustment unit (130) that rotates the blade shaft (122) to adjust the inclination angle of the blade (120), and

[0032] The above angle adjustment unit (130) is,

[0033] An operating space (131) formed inside the above-mentioned rotating shaft (110);

[0034] An operating shaft (132) installed to be movable along the above operating space (131);

[0035] A control drive unit (133) that moves the above operating shaft (132) in the longitudinal direction of the operating space;

[0036] A driven gear (134) installed at the end of the blade shaft (122) of the blade (120);

[0037] A drive block (135) coupled to the above-mentioned operating shaft (132) and moved together with it;

[0038] and a rack gear (136) formed in the drive block (135) to mesh with the driven gear (134);

[0039] Includes,

[0040] The above blade (120) is,

[0041] A first blade (124) and a second blade (126) are arranged on both sides based on the blade shaft (122) and formed to be foldable;

[0042] and a blade original position part (128) that returns the folded first blade (124) and second blade (126) to an unfolded state;

[0043] Includes,

[0044] The MBBR-DAF-based wastewater treatment system is characterized in that the first blade (124) and the second blade (126) are each composed of a first blade piece (125) and a second blade piece (127) that are segmented into multiple parts and formed to be individually foldable.

[0045] (2) In the above (1), the artificial intelligence control unit (300) is,

[0046] A properties sensing unit (310) that collects sensing information from sensors installed in an inflow properties homogenization tank (10), a DAF flotation separation tank (20), an MBBR reaction tank (30), a solid-liquid separation unit (40), and a treatment tank (50);

[0047] A process state judgment unit (320) that determines the current process state of each processing tank based on data collected from the above-mentioned shape sensing unit (310);

[0048] A load prediction unit (330) that calculates the expected load to be introduced into the rear MBBR reactor (30);

[0049] A stirring condition calculation unit (340) that calculates the rotational speed of the stirrer (100) and the inclination angle of the blade (120) based on information collected from a sensor installed in the MBBR reactor (30);

[0050] A sludge flotation prediction unit (350) that predicts sludge removal stability based on information received from a sensor installed in a DAF flotation separation tank (20);

[0051] A process interlocking control unit (360) that controls the operating conditions of the inflow homogenization tank (10), DAF flotation separation tank (20), MBBR reaction tank (30), solid-liquid separation unit (40), and treatment tank (50) in an interlocking manner;

[0052] A control signal output unit (370) that outputs the control value calculated by the process linkage control unit (360) and the stirring condition calculation unit (340);

[0053] and an operation data learning unit (380) that stores and learns information collected from the above-mentioned shape sensing unit (310), a judgment result from the process state judgment unit (320), a calculated value from the stirring condition calculation unit (340), and a prediction result from the sludge flotation prediction unit (350) to update the operation conditions and process control values ​​of the stirrer (100);

[0054] MBBR-DAF-based wastewater treatment system characterized by including

[0055] (3) In the above (1),

[0056] The above rotational shaft (110) is composed of a plurality of unit shafts (111) interconnected in series, and

[0057] The above operating shaft (132) is formed by connecting a plurality of unit shafts (132a) in series, and

[0058] The above blade original positioning part (128) includes a torsion spring, and one end of the torsion spring is fixed to the blade shaft (122), and the other end is fixed to the first blade (124) or the second blade (126), characterized by an MBBR-DAF-based wastewater treatment system. Effects of the invention

[0060] According to the present invention, by applying a stirrer with an adjustable blade angle, the mixing state inside the treatment tank can be controlled according to operating conditions, thereby improving mixing uniformity and reducing variation in the concentration of the mixed liquid.

[0061] In addition, according to the present invention, by including a structure in which the first blade and the second blade fold and return according to fluid resistance, there is an effect of maintaining a stable mixing state in response to changes in the viscosity of wastewater.

[0062] In addition, according to the present invention, since a plurality of first blade pieces and second blade pieces can each be individually folded and returned, the mixing stability can be improved even under various operating conditions. Brief explanation of the drawing

[0063] Figure 1 is an overall configuration diagram of an MBBR-DAF-based wastewater treatment system according to the present invention. Figure 2 is an overall configuration diagram of a stirrer according to an embodiment of the present invention. FIG. 3 is a detailed structural diagram of a blade and a blade shaft according to an embodiment of the present invention. FIG. 4 is a structural diagram of a rotation axis and an angle adjustment unit according to an embodiment of the present invention. FIG. 5 is an operating state diagram of a foldable blade according to an embodiment of the present invention. FIG. 6 is a structural diagram of a foldable blade and blade piece according to an embodiment of the present invention. Specific details for implementing the invention

[0064] The advantages and features of the present invention and the methods for achieving them will become clear by referring to the embodiments described below in detail together with the accompanying drawings. However, the present invention is not limited to the embodiments disclosed below but can be implemented in various different forms. These embodiments are provided merely to ensure that the disclosure of the present invention is complete and to fully inform those skilled in the art of the scope of the invention, and the present invention is defined only by the scope of the claims.

[0065] Throughout the specification, when a part is described as "comprising" or "including" a component, this means that, unless specifically stated otherwise, it does not exclude other components but may include additional components. Furthermore, the term "...part" as used in the specification refers to a unit that performs at least one function or operation. Additionally, "one (a or an)," "one," "the," and similar related terms may be used in the context describing the invention (particularly in the context of the following claims) to include both singular and plural forms, unless otherwise indicated in the specification or clearly contradicted by the context.

[0066] In describing the embodiments of the present invention, specific descriptions of known functions or configurations will be omitted if it is determined that such detailed descriptions could unnecessarily obscure the essence of the invention. Furthermore, the terms described below are defined in consideration of their functions in the embodiments of the present invention, and these definitions may vary depending on the intentions or practices of the user or operator. Therefore, such definitions should be based on the content throughout this specification.

[0067] FIG. 1 illustrates the overall configuration of an MBBR-DAF-based wastewater treatment system including a variable flow agitator according to one embodiment of the present invention.

[0068] The MBBR-DAF-based wastewater treatment system according to the present invention may be configured to include an influent homogenization tank (10), a DAF flotation separation tank (20), an MBBR reaction tank (30), a solid-liquid separation unit (40), a treated water tank (50), and an artificial intelligence control unit (300) in order to remove organic matter, nitrogen components, suspended solids, and oil from the influent wastewater.

[0069] The above-mentioned influent characteristic homogenization tank (10) is configured to reduce load fluctuations in the downstream process by mitigating deviations in the flow rate, viscosity, SS concentration, and organic matter concentration of the influent wastewater, and may include a characteristic detection sensor (11) and a selective circulation mixing unit (12) inside. The characteristic detection sensor (11) measures the COD, SS, turbidity, viscosity, and flow rate of the influent wastewater, and the measured values ​​are transmitted to an artificial intelligence control unit (300) and can be used as input values ​​for the rotation speed and blade angle of the stirrer (100) installed in the MBBR reactor (30). Accordingly, it is possible to prevent sudden fluctuations in the influent load from being directly transmitted to the downstream process and to improve carrier dispersion uniformity and bioreaction efficiency.

[0070] The above-mentioned selective circulation mixing unit (12) can be configured to circulate a portion of the mixture inside the inflow homogenization tank (10) to mitigate local deviations in flow rate, COD, SS, viscosity, and turbidity, and to reduce the occurrence of non-uniformity in properties caused by sedimentation or concentration.

[0071] To this end, the selective circulation mixing unit (12) may include a circulation pump, circulation piping, control valve, and a plurality of discharge nozzles for sucking the internal mixture of the inflow homogenization tank (10) and re-discharging it back into the inflow homogenization tank (10). The plurality of discharge nozzles may be arranged to face different heights or different directions of the inflow homogenization tank (10) to mitigate local deviations in COD, SS, viscosity, and turbidity of the inflow wastewater and to reduce the occurrence of sedimentation or stagnation areas. Additionally, the selective circulation mixing unit (12) may be configured to be selectively driven or to have the circulation amount variably controlled when the change in viscosity, SS, turbidity, or flow rate measured by the substance detection sensor (11) is greater than or equal to a reference value, thereby mitigating load fluctuations of the downstream MBBR reaction tank (30).

[0072] In an embodiment of the present invention, the raw water flowing into the inflow homogenization tank (10) may be domestic sewage or industrial wastewater, and may have, for example, COD 200 to 1,200 mg / L, BOD (Biochemical Oxygen Demand, hereinafter BOD) 100 to 700 mg / L, SS 100 to 800 mg / L, Oil & Grease 10 to 150 mg / L, and Total Nitrogen (TN) 20 to 120 mg / L. The inflow homogenization tank (10) may be operated under a hydraulic retention time (HRT) of 0.5 to 4 hours, and the selective circulation mixing unit (12) may be operated under low-speed stirring conditions in the range of 20 to 80 rpm to prevent sedimentation and local concentration.

[0073] The above DAF flotation separation tank (20) is configured to separate floating solids and oil from wastewater that has passed through the above inflow homogenization tank (10) using fine bubbles, and is configured to remove floating solids, oil, and sludge from wastewater.

[0074] The above DAF flotation separation tank (20) typically includes a treatment tank body, a microbubble generating unit, an influent water distribution unit, a sludge collection unit, and a scraper. The microbubble generating unit generates microbubbles of several tens of μm in size by depressurizing pressurized dissolved air, and is configured so that the generated bubbles attach to suspended solids and oil and float to the surface, and the scraper is configured to remove floating sludge formed on the upper part of the DAF flotation separation tank (20).

[0075] The influent water of the above DAF flotation separation tank (20) may have a SS of 80 to 600 mg / L, an oil content of 5 to 120 mg / L, and a turbidity of 100 to 500 NTU, and the pressurized water pressure may be maintained in the range of 3 to 7 bar. In addition, the average particle size of the microbubbles may be formed in the range of 10 to 80 μm, and the retention time may be set in the range of 10 to 60 minutes. Accordingly, the above DAF flotation separation tank (20) can reduce the solid load flowing into the downstream MBBR reactor (30) and suppress excessive sludge attachment on the surface of the carrier.

[0076] The above MBBR reactor (30) is a core bioreactor that performs organic matter oxidation and nitrogen removal using a carrier on wastewater that has passed through the above DAF flotation separation tank (20), and includes a plurality of floating carriers and a variable flow agitator (100) inside.

[0077] The above carrier provides a surface to which a microbial film is attached and is uniformly dispersed inside the reaction vessel according to the mixing flow formed by the stirrer (100). Accordingly, the uniformity of mixing between the carrier surface, wastewater, and air can be improved.

[0078] A stirrer (100) according to the present invention, as shown in FIG. 2, is installed inside the above MBBR reaction tank (30), and the stirrer (100) forms a mixed flow inside the treatment tank to improve the mixing uniformity of the mixed liquid.

[0079] In particular, the above-mentioned stirrer (100) is configured such that the blade inclination angle varies according to changes in the viscosity of wastewater, carrier filling rate, and organic load, thereby reducing the phenomenon of carrier being locally concentrated or deposited and improving the uniformity of mixing.

[0080] The mixture of the above MBBR reactor (30) can be maintained at a COD of 80 to 600 mg / L, a BOD of 40 to 300 mg / L, and a dissolved oxygen (DO) of 1.0 to 5.0 mg / L, and the carrier filling rate can be set to a range of 20 to 70% based on the effective volume of the reactor. In addition, the hydraulic retention time (HRT) of the above MBBR reactor (30) can be maintained at a range of 2 to 10 hours, and the water temperature at a range of 15 to 35℃, and the stirrer (100) can be operated to variably control the rotation speed and blade inclination angle according to changes in the viscosity of the mixture and the carrier concentration.

[0081] The solid-liquid separation unit (40) is configured to separate treated water and sludge from the mixed liquid that has passed through the MBBR reactor (30), and may include a sedimentation tank, a filter, or a membrane separation device. The solid-liquid separation unit (40) is configured to suppress the outflow of residual suspended solids and microbial flocs in the treated water and to reduce the turbidity and SS concentration of the downstream treated water. Additionally, the solid-liquid separation unit (40) may be configured to return a portion of the sludge to the MBBR reactor (30) or the upstream process.

[0082] The above-mentioned treatment tank (50) is configured to store the treated water that has passed through the solid-liquid separation unit (40), and is configured to discharge the treated water externally or supply it to a reuse process. The treated water may have a water quality such as, for example, COD 20 mg / L or less, BOD 5 mg / L or less, SS 10 mg / L or less, and total nitrogen (TN) 10 to 20 mg / L or less. In addition, the above-mentioned treatment tank (50) may further include a sensor for measuring the turbidity, electrical conductivity, and pH of the treated water.

[0083] The artificial intelligence control unit (300) is configured to control the operating state of the agitator (100) according to changes in the characteristics of the wastewater, and is configured to collect and analyze operating state information such as COD, SS, viscosity, flow rate, and MLSS concentration of the wastewater in real time. The artificial intelligence control unit (300) can be configured to maintain the mixing state inside the treatment tank in an optimal state by controlling the rotational speed and blade inclination angle of the agitator (100) according to the analysis results.

[0084] The artificial intelligence control unit (300) above is configured to analyze the operating state of the MBBR-DAF-based wastewater treatment system according to the present invention and to control the operating conditions of the influent homogenization tank (10), DAF flotation separation tank (20), MBBR reaction tank (30), solid-liquid separation unit (40), treatment tank (50), and stirrer (100) in conjunction with each other.

[0085] Preferably, the artificial intelligence control unit (300) may include a shape sensing unit (310), a process state judgment unit (320), a load prediction unit (330), a stirring condition calculation unit (340), a sludge floating prediction unit (350), a process linkage control unit (360), a control signal output unit (370), and an operation data learning unit (380).

[0086] The above-mentioned characteristic sensing unit (310) is connected to sensors installed in the inflow characteristic homogenization tank (10), DAF flotation separation tank (20), MBBR reaction tank (30), solid-liquid separation unit (40), and treatment tank (50) to collect sensing information including COD, BOD, SS, turbidity, viscosity, flow rate, pH, water temperature, dissolved oxygen, ORP, carrier filling rate, and sludge concentration in real time.

[0087] The process state judgment unit (320) above is configured to determine the current process state of each treatment tank based on collected data. For example, the microbubble dispersion efficiency can be determined by analyzing the turbidity and sludge flotation state of the DAF flotation separation tank (20), and the mixing stability and bioreaction state can be determined based on the DO, viscosity, and carrier distribution state of the MBBR reaction tank (30).

[0088] The load prediction unit (330) can calculate the expected load to be introduced into the downstream MBBR reactor (30) by utilizing the hourly change patterns of the inflow rate, COD, SS, viscosity, and oil concentration. Accordingly, if an increase in load is predicted, the rotational speed of the stirrer (100) and the blade angle can be increased preemptively.

[0089] The above stirring condition calculation unit (340) is configured to calculate the rotational speed and blade inclination angle of the stirrer (100) based on the mixing state, carrier distribution state, viscosity, and dissolved oxygen concentration of the MBBR reactor (30). For example, if an increase in viscosity or carrier bias is detected, the rotational speed can be increased and the blade inclination angle expanded to enhance the mixing flow.

[0090] The above sludge flotation prediction unit (350) is configured to predict sludge removal stability based on the turbidity, sludge accumulation height, and flotation speed of the DAF flotation separation tank (20). The above sludge flotation prediction unit (350) can output a control request to increase the movement speed and operation cycle of the scraper when the amount of sludge accumulation is greater than or equal to a reference value.

[0091] The above process interlocking control unit (360) is configured to control the operating conditions of the inflow homogenization tank (10), DAF flotation separation tank (20), MBBR reaction tank (30), solid-liquid separation unit (40), and treatment tank (50) in an interlocking manner. For example, if the flotation efficiency of the DAF flotation separation tank (20) decreases, the amount of microbubbles generated can be increased, and if the dissolved oxygen of the MBBR reaction tank (30) decreases below a target value, the amount of aeration and the rotation speed of the stirrer (100) can be increased.

[0092] The above control signal output unit (370) is configured to output the control value calculated by the process linkage control unit (360) and the stirring condition calculation unit (340) to the driving device of the stirrer (100), aeration device, circulation pump, and scraper.

[0093] In addition, the above-mentioned operation data learning unit (380) may be configured to store and learn the operation data collected from the above-mentioned appearance sensing unit (310), the judgment result of the process state judgment unit (320), the control value of the stirring condition calculation unit (340), and the prediction result of the sludge flotation prediction unit (350) to update the optimal operation conditions and process control values ​​of the stirrer (100).

[0094] In an embodiment of the present invention, the process state judgment unit (320) can calculate a process state index P to quantitatively determine the operating state of the inflow homogenization tank (10), the DAF flotation separation tank (20), the MBBR reaction tank (30), the solid-liquid separation unit (40), and the treated water tank (50). For example, the process state index P can be calculated by assigning weights to the normalized values ​​of the inflow COD, SS, viscosity, flow rate, oil concentration, dissolved oxygen deviation of the MBBR reaction tank (30), carrier circulation deviation, and turbidity deviation of the DAF flotation separation tank (20), and can be defined by the following formula.

[0095]

[0096] COD here n is the normalized COD value, SS n is the normalized SS value, μn is the normalized viscosity value, Q n is the normalized flow rate value, O n is the normalized oil concentration value, DO dev is the deviation value from the target dissolved oxygen concentration of the MBBR reactor (30), C dev is the deviation value from the target carrier circulation state inside the MBBR reactor (30), Turb dev represents the deviation value from the target turbidity of the DAF flotation separation tank (20) or solid-liquid separation unit (40), and inside represents the weight of each item. The process state judgment unit (320) can determine that at least one of the following has occurred: increased inflow load, unstable DAF flotation separation, reduced carrier circulation, or unstable bioreaction state, when the process state index P is greater than or equal to the reference value.

[0097] The load prediction unit (330) uses inflow characteristic data from the current time and past time to predict the change in inflow load over time, and the predicted load value L pred It can calculate. For example, the above predicted load value L pred It can be calculated using the following formula with the current inflow load L(t), the previous inflow load L(t-1), the rate of change in flow rate ΔQ, the rate of change in viscosity Δμ, the rate of change in SS ΔSS, and the rate of change in oil concentration ΔO.

[0098]

[0099] Here, L(t) represents at least one of the COD load, BOD load, SS load, or oil load at the current time point, L(t-1) represents the corresponding load value at the previous time point, ΔQ represents the rate of change in flow rate, Δμ represents the rate of change in viscosity, ΔSS represents the rate of change in SS, and ΔO represents the rate of change in oil concentration. Also, inside is a prediction coefficient corrected by the driving data learning unit (380). The load prediction unit (330) is the predicted load value L predIf the value is greater than or equal to the reference value, subsequent control values ​​can be generated to preemptively increase the amount of microbubbles generated in the DAF flotation separation tank (20), the operating cycle of the scraper, the amount of aeration in the MBBR reaction tank (30), the rotational speed of the stirrer (100), and the amount of fluid injected.

[0100] The above stirring condition calculation unit (340) calculates the rotational speed N of the stirrer (100) and the inclination angle of the blade (120) based on the mixing state, carrier circulation state, viscosity, dissolved oxygen concentration, and inflow load information of the MBBR reactor (30). It can be calculated. For example, the stirring condition calculation unit (340) can calculate control variables such that the following objective function J is minimized.

[0101]

[0102] Here, H is the mixing uniformity of the MBBR reactor (30), F is the carrier bias or mixing non-uniformity, C is the carrier circulation index, DO dev represents the deviation from the target dissolved oxygen concentration, and E represents the energy consumption index, and inside represents the weight of each item. The stirring condition calculation unit (340) increases the mixing uniformity H and carrier circulation index C, and the carrier bias or mixing non-uniformity F and the deviation DO from the target dissolved oxygen concentration. dev A combination of rotational speed N and blade inclination angle θ that minimizes the objective function J to reduce the energy consumption index E can be selected and set as the driving condition of the stirrer (100).

[0103] The above stirring condition calculation unit (340) does not simply increase the inclination angle θ of the blade (120), but rather a target inclination angle θ corresponding to the current viscosity, carrier filling rate, flow rate, and dissolved oxygen conditions. opt It can be calculated to approximate. For example, the above target slope angle θ opt It can be calculated by the following formula.

[0104]

[0105] Here, θ0 is the reference slope angle, μ n is the normalized viscosity value, C filla is the normalized carrier packing ratio, Q n is the normalized flow rate value, DO n represents the normalized dissolved oxygen concentration, and inside represents a correction coefficient to reflect the influence of each variable. The stirring condition calculation unit (340) determines the target inclination angle θ in the case where there is a possibility that carrier circulation will decrease due to an increase in viscosity or carrier filling rate. opt Increase , and conversely, when dissolved oxygen concentration is sufficient or excessive turbulence is expected, set the target inclination angle θ opt It can be calculated to reduce.

[0106] The above stirring condition calculation unit (340) can calculate a carrier circulation index C to quantitatively evaluate the carrier circulation state of the MBBR reactor (30). In one embodiment, the carrier circulation index C can be defined by the following equation.

[0107]

[0108] Here, V carriern is the normalized carrier average migration speed, D carriern E is the carrier distribution uniformity measured in multiple regions inside the reactor, H is the mixing uniformity, and S deadn is the normalized congestion area or congestion occurrence index, C dev represents the deviation from the target carrier circulation state. Also inside represents a weighting coefficient to reflect the influence of each variable. The carrier circulation index C can be calculated as a value that increases as the carrier circulates uniformly within the MBBR reactor (30) and is not concentrated or deposited in a specific area.

[0109] The above stirring condition calculation unit (340) can calculate the carrier bias or mixing non-uniformity F inside the MBBR reactor (30). In one embodiment, the carrier bias or mixing non-uniformity F can be defined by the following equation.

[0110]

[0111] Here, ΔCarrier refers to the carrier concentration or carrier distribution deviation value measured at multiple locations of the MBBR reactor (30), and μ n is the normalized viscosity value of the mixture, SS n is the normalized SS concentration value, θ is the current inclination angle of the blade (120), θ opt represents the target inclination angle under current viscosity, carrier filling rate, flow rate, and dissolved oxygen conditions, N represents the rotational speed of the stirrer (100), H represents the mixing uniformity index calculated based on the MLSS deviation at multiple points inside the MBBR reactor (30), and C represents the carrier circulation index. Also, inside represents a weighting coefficient to reflect the influence of each variable.

[0112] The above stirring condition calculation unit (340) may determine that if the carrier bias or mixing non-uniformity F increases above a reference value, there is a high probability that carrier bias, carrier sedimentation, localized stagnation areas, or reduced oxygen transfer will occur inside the MBBR reactor (30). Accordingly, the above process linkage control unit (360) may increase the rotational speed N of the stirrer (100) or change the inclination angle θ of the blade (120) to a target inclination angle θ opt It is possible to control the carrier circulation index C and mixing uniformity H to be improved by adjusting them to be close to [value].

[0113] The above sludge flotation prediction unit (350) can calculate the sludge flotation instability S to quantitatively evaluate the flotation sludge removal stability of the DAF flotation separation tank (20). In one embodiment, the sludge flotation instability S can be defined by the following equation.

[0114]

[0115] Turb here DAFn Hs is the normalized value of the effluent turbidity or treated water turbidity of the DAF flotation separation tank (20). n is the normalized flotation sludge accumulation height, V dev is the deviation between the target injury speed and the actual injury speed, O n is normalized oil concentration, SS n is the normalized SS concentration, B n ε is the normalized microbubble generation amount or microbubble dispersion index, R scrn represents the scraper's normalized removal contribution. Also inside represents a weighting coefficient to reflect the influence of each variable.

[0116] The above sludge flotation prediction unit (350) can determine that when the sludge flotation instability S increases above a reference value, there is a high probability that excessive accumulation of flotation sludge, sludge re-mixing, reduced microbubble attachment efficiency, or increased turbidity of effluent will occur inside the DAF flotation separation tank (20). Accordingly, the above process interlocking control unit (360) can control the DAF flotation separation tank (20) to improve flotation separation stability by increasing the air supply amount or pressurized water supply amount of the microbubble generation unit, increasing the movement speed and operation cycle of the scraper, or adjusting the selective circulation mixing conditions of the inflow homogenization tank (10).

[0117] The above process linkage control unit (360) determines the circulation amount Q of the inflow characteristics homogenization tank (10) based on the state value of each treatment tank. r , amount of microbubbles Q generated in the DAF flotation separation tank (20) b , Scraper's movement speed V s , aeration amount Q of the MBBR reactor (30) aThe stirrer rotation speed N and the blade inclination angle θ can be controlled in conjunction. For example, if the inflow COD, SS, or oil concentration is above a reference value, the circulation amount Q of the inflow homogenization tank (10) r and increase the amount of microbubbles Qb generated in the DAF flotation separation tank (20), and if the sludge flotation instability S of the DAF flotation separation tank (20) is greater than or equal to a reference value, the movement speed V of the scraper s Or, increase the operating cycle, and if the carrier bias or mixing non-uniformity F of the MBBR reactor (30) is greater than or equal to a reference value, increase the rotational speed N of the stirrer (100) or change the blade inclination angle θ to a target inclination angle θ opt It can be controlled to adjust to be close to.

[0118] Additionally, the process interlocking control unit (360) can increase the aeration amount Qa when the dissolved oxygen concentration of the MBBR reactor (30) is lower than the target value, and control the rotational speed N of the stirrer (100) and the inclination angle θ of the blade (120) to strengthen the vertical circulation flow and axial flow of the carrier when the carrier circulation index C is lower than the reference value. However, if the energy consumption index E increases above the reference value or excessive turbulence is predicted, the process interlocking control unit (360) can increase the rotational speed N or the aeration amount Q a At least one of them can be limited to control the balance between processing efficiency and energy efficiency.

[0119] The above-mentioned operation data learning unit (380) can correct the weights of each algorithm using the difference between the actual processing result and the predicted result. For example, the operation data learning unit (380) uses the error between the predicted treated water COD, predicted SS, predicted turbidity, predicted dissolved oxygen, predicted sludge flotation instability, and predicted carrier circulation index and the actual measured values ​​to calculate the loss function E loss It is possible to calculate and update each weight and correction coefficient so that the above loss function is reduced.

[0120]

[0121] In the above formula, the subscript pred represents a predicted value predicted by the artificial intelligence control unit (300), and the subscript meas represents an actual value measured through the constellation sensing unit (310) or a sensor installed in each processing tank. COD pred and COD meas represents the predicted treated water COD and the actual measured COD, respectively, and SS pred and SS meas represent predicted SS and actual measured SS, respectively, and Turb pred and Turb meas represent predicted turbidity and actual measured turbidity, respectively. Also, DO pred and DO meas and represent the predicted dissolved oxygen concentration and the actual measured dissolved oxygen concentration, respectively, and S pred and S meas represents the predicted sludge flotation instability and the actual sludge flotation instability, respectively, and C pred and C meas represents the predicted carrier circulation index and the actual carrier circulation index, respectively. inside represents a weight to reflect the importance of each error term.

[0122] Accordingly, the above-mentioned operation data learning unit (380) can repeatedly learn the correlation between the change in the characteristics of the influent wastewater, the sludge flotation state of the DAF flotation separation tank (20), the carrier circulation state of the MBBR reactor (30), the rotation speed of the agitator (100), the inclination angle of the blade (120), the operating conditions of the scraper, and the water quality of the treated water. As a result, the artificial intelligence control unit (300) can calculate an optimal process control value that simultaneously considers the carrier circulation efficiency, oxygen transfer efficiency, flotation separation stability, and water quality of the treated water under the same or similar influent conditions.

[0123] Hereinafter, a stirrer (100) installed inside the MBBR reactor (30) of an MBBR-DAF-based wastewater treatment system according to one embodiment of the present invention will be described in detail.

[0124] As shown in FIG. 2, the above-mentioned stirrer (100) is a device installed inside the MBBR reactor (30) to receive rotational force and stir a mixture containing wastewater and a carrier, and includes a rotating shaft (110) that transmits rotational force by a rotary drive unit (140) and a plurality of blades (120) coupled to the rotating shaft (110) to form a fluid flow.

[0125] The above-mentioned stirrer (100) is configured to improve the uniformity of mixing of the mixture by forming a mixing flow inside the MBBR reaction tank (30) through rotation. Accordingly, the above-mentioned stirrer (100) can perform the function of reducing the variation in the concentration of the mixture inside the MBBR reaction tank (30) and reducing the occurrence of stagnant areas inside the treatment tank.

[0126] As shown in FIGS. 2 and 3, each of the above blades (120) has a blade shaft (122) as its central axis, and the blade shaft (122) is installed to be rotatable on a rotation axis (110).

[0127] Preferably, the blade shaft (122) is installed in the center of the blade (120) and can be rotatably supported with respect to the rotation axis (110) by a bearing. Accordingly, the blade (120) rotates as a whole by the rotation of the rotation axis (110), while the angle of inclination can be adjusted around the blade shaft (122).

[0128] The above-described stirrer (100) further includes an angle adjustment unit (130) that adjusts the inclination angle of the blade (120) by rotating the blade shaft (122). The angle adjustment unit (130) may include an operating space (131), an operating shaft (132), an adjustment drive unit (133), a driven gear (134), a drive block (135), and a rack gear (136).

[0129] The above operating space (131) is formed inside the rotation shaft (110), and the rotation shaft (110) may have a plurality of unit shafts (111) of a certain length connected in series, and in this case, the operating space (131) formed inside each unit shaft (111) may be formed to be in communication with each other.

[0130] The above operating shaft (132) is installed to be movable along the operating space (131) and may be formed as a single unit or may be formed by connecting a plurality of unit shafts (132a) having a certain length in series. The upper end of the above operating shaft (132) may be formed to protrude upward from the rotation axis (110), and the control drive unit (133) is installed adjacent to the upper end of the rotation axis (110) and configured to move the above operating shaft (132) in the longitudinal direction (or vertical direction) of the operating space (131).

[0131] The above-mentioned driven gear (134) is installed at the end of the blade shaft (122) of each blade (120) and can be positioned within the operating space (131) of the rotation axis (110). The above-mentioned driving block (135) is coupled to the operating shaft (132) and moves together with the operating shaft (132), and can be positioned at a location corresponding to each blade (120) installed on the rotation axis (110).

[0132] In the above-mentioned drive block (135), block protrusions (135a) are formed protruding on both sides relative to the driven gear (134), and a rack gear (136) that meshes with the driven gear (134) is formed on the block protrusions (135a).

[0133] As in one embodiment illustrated in FIG. 3, when a plurality of blades (120) are installed radially with respect to a rotation axis (110), a plurality of block protrusions (135a) corresponding to each blade (120) may be formed on the outer circumference of the drive block (135), and a rack gear (136) formed on each block protrusion (135a) may mesh with a corresponding driven gear (134). Accordingly, the inclination angle of the plurality of blades (120) can be adjusted simultaneously or in conjunction by the movement of a single operating shaft (132).

[0134] When examining the operating state of the angle adjustment unit (130) as shown in FIG. 4, when the operating shaft (132) moves along the operating space (131) by the adjustment drive unit (133), the drive block (135) coupled to the operating shaft (132) moves together. At this time, the rack gear (136) of the drive block (135) moves linearly, and the driven gear (134) meshed with the rack gear (136) rotates, and the blade shaft (122) rotates according to the rotation of the driven gear (134), thereby the inclination angle of the blade (120). The stirring direction and stirring intensity of the fluid can be adjusted according to changes in the viscosity, MLSS concentration, flow rate of the wastewater or the viscosity, MLSS concentration, and flow rate of the wastewater.

[0135] In addition, the blade (120) may be configured to variably form a mixing state in response to changes in fluid resistance by means of a folding structure of the first blade (124) and the second blade (126). Accordingly, a stable mixing state can be maintained even when changes in the viscosity of wastewater or the flow rate of the mixed liquid occur, and the formation of local stagnation areas can be reduced.

[0136] Each of the above blades (120) may include a first blade (124), a second blade (126), and a blade original position portion (128), as shown in FIGS. 3 and 5. The first blade (124) and the second blade (126) may be positioned on both sides relative to the blade shaft (122) and may be formed to be foldable according to fluid resistance.

[0137] The above blade original position part (128) is an elastic configuration and performs the function of returning the folded first blade (124) and second blade (126) to an unfolded state (or restoring the position by restoring force).

[0138] Here, the blade return portion (128) uses a torsion spring as shown in FIG. 3 in one embodiment, and one end of the torsion spring is fixed to the blade shaft (122) and the other end is fixed to the first blade (124) or the second blade (126), and is returned to its original position by a force that returns it to its original state after being folded according to the degree of fluid resistance.

[0139] That is, the first blade (124) and the second blade (126) can repeat folding and returning operations based on the blade shaft (122) according to the flow rate, viscosity, and sludge concentration of the wastewater when the stirrer (100) rotates. Since a mixing state corresponding to various mixing conditions inside the treatment tank can be formed by such folding and returning operations, it can contribute to improving the uniformity of mixing inside the MBBR reactor (30) and reducing localized sludge deposition.

[0140] Additionally, as illustrated in FIG. 6, the first blade (124) and the second blade (126) may be composed of a plurality of first blade segments (125) and second blade segments (127). Each of the plurality of first blade segments (125) and second blade segments (127) is formed to be individually foldable and can be returned to its original state by the blade original position part (128). Accordingly, instead of the entire blade being deformed uniformly, individual folding and return can be performed for each part where fluid resistance acts significantly, thereby improving responsiveness to changes in wastewater characteristics.

[0141] As such, the stirrer (100) of the present invention can variably form a mixed flow inside a treatment tank by means of a combination of a rotating shaft (110), a blade (120), an angle adjustment part (130), a first blade (124), a second blade (126), and a first blade piece (125) and a second blade piece (127). Accordingly, the present invention can improve the uniformity of mixing inside the MBBR reaction tank (30) and reduce the variation in the concentration of the mixed liquid and the occurrence of local stagnation areas.

[0142] The operating conditions and treatment results of an MBBR-DAF-based wastewater treatment system according to one embodiment of the present invention are described in more detail below. However, the following embodiments are merely examples to aid in understanding the present invention, and the scope of the present invention is not limited thereto.

[0143] [Example]

[0144] In this embodiment, an MBBR-DAF-based wastewater treatment system is constructed for influent wastewater mixed with domestic sewage and food processing wastewater, comprising an influent homogenization tank (10), a DAF flotation separation tank (20), an MBBR reaction tank (30), a solid-liquid separation unit (40), and a treated water tank (50). An agitator (100) as shown in FIGS. 2 to 6 is installed in the MBBR reaction tank (30), and the agitator (100) is configured to include a blade inclination angle adjustment function and a foldable blade structure.

[0145] The average characteristics of the raw water flowing into the above-mentioned inflow homogenization tank (10) were COD 780 mg / L, BOD 420 mg / L, SS 510 mg / L, total nitrogen (TN) 68 mg / L, oil and grease 74 mg / L, and pH 7.1. The above-mentioned inflow homogenization tank (10) was operated under HRT conditions of 2 hours, and the internal circulation mixing unit (12) was operated under 45 rpm conditions.

[0146] The above DAF flotation separation tank (20) was operated under a pressurized water pressure of 5 bar and was set to form fine bubbles with an average particle size of about 35 μm. In addition, the retention time of the above DAF flotation separation tank (20) was maintained at about 25 minutes. The above scraper (200) was set to operate at a movement speed of 0.12 m / s and was configured so that the movement speed is automatically increased by the artificial intelligence control unit (300) when the sludge accumulation height increases above a reference value.

[0147] The above MBBR reactor (30) was configured with an effective volume of 15 m³, and the filling rate of the carrier (31) was maintained at approximately 45% based on the effective volume of the reactor. The carrier (31) used a floating carrier made of high-density polyethylene (HDPE), and the specific surface area was approximately 650 m² / m³. In addition, the DO concentration of the above MBBR reactor (30) was maintained at 2.5 mg / L.

[0148] The rotational speed of the above-mentioned stirrer (100) is set to be variably controlled in the range of 60 to 140 rpm, and the inclination angle of the blade (120) is configured to be automatically adjusted in the range of 10° to 42° depending on the viscosity of the mixed liquid and the carrier bias state.

[0149] In particular, the artificial intelligence control unit (300) is configured to control the rotational speed and blade inclination angle of the stirrer (100) in real time based on inflow COD, SS, viscosity, carrier filling rate, DO, and turbidity data. For example, if the viscosity of the mixed liquid increases or carrier bias is detected, the rotational speed is increased and the blade inclination angle is expanded to strengthen the mixing state. In addition, if an increase in turbidity or an increase in sludge accumulation in the DAF flotation separation tank (20) is detected, the amount of microbubbles generated and the movement speed of the scraper (200) are controlled to increase.

[0150] As a result of operating continuously for about 90 days under the above conditions, it was confirmed that the localized unevenness of the carrier and the sedimentation at the bottom of the reactor were significantly reduced. In addition, it was confirmed that the circulation flow of the mixed liquid and the carrier inside the MBBR reactor (30) was maintained more uniformly and the DO distribution deviation was reduced.

[0151] In particular, it was confirmed that the variable mixing flow formed by the foldable blade structure reduces the formation of stagnant regions in the carriers and increases flow disturbances caused by collisions between carriers, thereby improving mixing uniformity.

[0152] Operating conditions according to an embodiment of the present invention division Driving conditions Incoming COD 780 mg / L Inflow BOD 420 mg / L Inflow SS 510 mg / L Total nitrogen (TN) inflow 68 mg / L Inflow oil 74 mg / L Inflow pH 7.1 Influent Characteristics Homogenization Tank HRT 2 hr DAF pressurized water pressure 5 bar average particle size of microbubbles 35 μm DAF stay time 25 min Scraper movement speed 0.12 m / s Carrier filling rate 45 % Carrier specific surface area 650 m² / m³ MBBR Reactor DO 2.5 mg / L Stirrer rotation speed 60~140 rpm Blade inclination 10°~42°

[0153] In addition, Table 2 compares the processing results according to the embodiments and comparative examples of the present invention.

[0154] The comparative example was set as a case where a standard stirrer with a fixed blade inclination angle was applied.

[0155] division Examples Comparative example COD removal rate 96.2 % 89.4 % BOD removal rate 98.1 % 91.6 % SS removal rate 97.5 % 88.9 % Total nitrogen (TN) removal rate 82.3 % 71.2 % Frequency of carrier bias Very low height Submersion at the bottom of the reaction tank almost none frequently occurs DO deviation ±0.3 mg / L ±1.2 mg / L Mixing uniformity index 0.93 0.71 Energy usage 12% decrease compared to the baseline Standard level Occurrence of sludge re-incorporation almost none frequent occurrence

[0156] Here, the above mixing uniformity index was calculated based on the MLSS concentration deviation measured at multiple points inside the MBBR reactor (30). The above mixing uniformity index can be calculated by normalizing the standard deviation of the MLSS concentration between measurement points to the average concentration.

[0157] From the above results, it was confirmed that the MBBR-DAF-based wastewater treatment system including the variable flow agitator (100) according to the present invention can improve carrier dispersion stability, mixing stability, organic matter removal efficiency and sludge removal stability, and at the same time reduce energy consumption.

[0158] The foregoing description is merely an illustrative explanation of the technical concept of the present invention, and those skilled in the art to which the present invention pertains will be able to make various modifications and variations within the scope of the essential characteristics of the present invention. Accordingly, the embodiments disclosed in the present invention are intended to explain, not limit, the technical concept of the present invention, and the scope of the technical concept of the present invention is not limited by these embodiments. The scope of protection of the present invention shall be interpreted by the claims below, and all technical concepts within an equivalent scope shall be interpreted as being included within the scope of rights of the present invention. Explanation of the symbols

[0159] 10: Influent Characteristics Homogenization Tank 11 : Star detection sensor 12: Selective Circulation Mixing Unit 20: DAF flotation separator 30 : MBBR reactor 40 : High-value separation section 50 : Treatment tank 100 : Stirrer 110 : Rotation axis 120 : Blade 122 : Blade shaft 124 : 1st Blade 125: The First Blade Arc 126 : 2nd Blade 127: The Second Blade Arc 128 : Blade original position part 130 : Angle adjustment part 131 : Operating space 132 : Operating shaft 133 : Control drive unit 134 : Driven gear 135 : Drive block 135a : Block protrusion 136 : Rack gear 300 : Artificial Intelligence Control Unit 310 : Character Sensing Unit 320 : Process Status Judgment Unit 330 : Load Prediction Unit 340 : Stirring Condition Calculation Unit 350 : Sludge flotation prediction unit 360 : Process Interlock Control Unit 370 : Control signal output section 380 : Driving Data Learning Department

Claims

Claim 1 In an MBBR-DAF-based wastewater treatment system for removing organic matter, nitrogen components, suspended solids, and oil contained in influent wastewater, the system comprises: an influent homogenization tank (10) that reduces load fluctuations in downstream processes by mitigating deviations in flow rate, viscosity, SS concentration, and organic matter concentration; a DAF flotation separation tank (20) that separates suspended solids and oil by flotation using microbubbles from wastewater that has passed through the influent homogenization tank (10); an MBBR reaction tank (30) equipped with an internal agitator (100) and performing organic matter oxidation and nitrogen removal using a carrier on wastewater that has passed through the DAF flotation separation tank (20); a solid-liquid separation unit (40) that separates treated water and sludge from the mixed liquid treated in the MBBR reaction tank (30); and a treated water tank (50) that stores the treated water that has passed through the solid-liquid separation unit (40). It includes an artificial intelligence control unit (300) that controls the operating state of the stirrer (100) according to changes in the characteristics of the wastewater, and the stirrer (100) comprises: a rotating shaft (110) that transmits rotational force; and a plurality of blades (120) coupled to the rotating shaft (110) to form a fluid flow. and a rotary drive unit (140) for rotating a plurality of blades by rotating the rotary shaft (110); wherein the blade (120) has a blade shaft (122) as a central axis, and the blade shaft (122) is installed to be rotatable with respect to the rotary shaft (110); and the stirrer (100) includes an angle adjustment unit (130) for adjusting the inclination angle of the blade (120), wherein the angle adjustment unit (130) comprises: an operating space (131) formed inside the rotary shaft (110); an operating shaft (132) installed to be movable along the operating space (131); an adjustment drive unit (133) for moving the operating shaft (132) in the longitudinal direction of the operating space; a driven gear (134) installed at the end of the blade shaft (122) to rotate the blade shaft; a drive block (135) coupled to the operating shaft (132) and moving together; and the A rack gear (136) formed in the drive block (135) to mesh with the driven gear (134);The invention includes, wherein a plurality of blades (120) are radially installed with respect to the rotation axis (110), and a plurality of block protrusions (135a) corresponding to each blade are formed on the outer circumference of the drive block (135), and a rack gear (136) formed on each block protrusion meshes with a corresponding driven gear (134); the blades (120) include a first blade (124) and a second blade (126) that are formed to be foldable and arranged on both sides with respect to the blade shaft (122); and a blade original position part (128) that returns the folded first blade (124) and second blade (126) to an unfolded state; wherein the first blade (124) and the second blade (126) are each composed of a first blade piece (125) and a second blade piece (127) that are segmented into a plurality and individually formed to be foldable, and the artificial intelligence The control unit (300) comprises: a properties sensing unit (310) that collects sensing information from sensors installed in the inflow properties homogenization tank (10), DAF flotation separation tank (20), MBBR reaction tank (30), solid-liquid separation unit (40), and treatment tank (50); a process status judgment unit (320) that determines the current process status of each treatment tank based on data collected from the properties sensing unit (310); a load prediction unit (330) that calculates the expected load to be introduced into the MBBR reaction tank (30) at the rear end; a stirring condition calculation unit (340) that calculates the rotational speed of the stirrer (100) and the inclination angle of the blade (120) based on information collected from the sensor installed in the MBBR reaction tank (30); a sludge flotation prediction unit (350) that predicts the stability of sludge removal based on information received from the sensor installed in the DAF flotation separation tank (20); and the inflow properties homogenization tank (10), DAF A process linkage control unit (360) that controls the operating conditions of the flotation separation tank (20), MBBR reaction tank (30), solid-liquid separation unit (40), and treatment tank (50) in a mutually linked manner; a control signal output unit (370) that outputs the control value calculated by the process linkage control unit (360) and the stirring condition calculation unit (340);An MBBR-DAF-based wastewater treatment system characterized by including: an operation data learning unit (380) that stores and learns information collected from the above-mentioned properties sensing unit (310), a judgment result from the process state judgment unit (320), a calculated value from the stirring condition calculation unit (340), and a prediction result from the sludge flotation prediction unit (350) to update the operating conditions and process control values ​​of the stirrer (100). Claim 2 delete Claim 3 delete

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