Intelligent controller and method for aerobic section of AAO (anaerobic-anoxic-oxic) process of sewage treatment plant

Abstract

The invention provides an intelligent controller and method for an AAO process aerobic section of a sewage treatment plant, and the controller comprises a state detection unit which collects the operation states of an air blower and a stirrer in real time through a current sensor or a digital quantity input module; the water quality detection unit is used for detecting real-time water quality data; the control host is used for receiving the state signals of the air blower and the stirrer and the water quality data and executing built-in linkage control logic; and the output control unit controls start and stop of the air blower and the stirrer in a linkage manner. The energy-saving and consumption-reducing effects are remarkable, and the sewage plant can operate more economically. And through interlocking control of the air blower and the stirrer, repeated stirring of the aerobic section water body in a strong aeration state is avoided, and the energy consumption of the stirrer is saved by about 20-30%. Meanwhile, long-time operation of the stirrer in unnecessary time periods can be reduced, mechanical abrasion and motor heating are effectively reduced, and the service life is prolonged.

Description

TECHNICAL FIELD

[0001] The present application belongs to the technical field of sewage treatment, and particularly relates to an intelligent controller and method for an aerobic section of an AAO process of a sewage treatment plant. BACKGROUND

[0002] In the aerobic section of the AAO process of a sewage treatment plant, a blower is usually used for aeration to provide dissolved oxygen, and a stirrer is used to maintain the mixing state of the water body to ensure that microorganisms and pollutants are in sufficient contact. However, in existing engineering applications, the blower and the stirrer are independently controlled. Even when the blower provides a large amount of oxygen and the gas turbulence has a stirring effect, the stirrer is still in a constant-on state, causing problems of energy waste and redundant operation of equipment. There is a lack of an effective linkage control mechanism to avoid the energy consumption superposition caused by the "repeated operation" of the blower and the stirrer. SUMMARY

[0003] The technical problem to be solved by the present application is to provide an intelligent controller and method for an aerobic section of an AAO process of a sewage treatment plant. The method can avoid repeated stirring of the water body in the aerobic section under strong aeration by interlocking control of the blower and the stirrer, save about 20%-30% of the energy consumption of the stirrer, and effectively reduce the power consumption per unit of water quantity.

[0004] To solve the above technical problems, the technical solution adopted by the present application is as follows: An intelligent controller for an aerobic section of an AAO process of a sewage treatment plant, comprising: a state detection unit that acquires the running states of the blower and the stirrer in real time through a current sensor or a digital quantity input module; a water quality detection unit that detects real-time water quality data; a control host that receives the state signals of the blower and the stirrer and the water quality data, and executes an embedded linkage control logic; an output control unit that linkage controls the start and stop of the blower and the stirrer.

[0005] Preferably, the output control unit is a relay or a thyristor.

[0006] Preferably, the control host is a PLC or an embedded chip.

[0007] Preferably, the real-time water quality data includes dissolved oxygen concentration, oxidation-reduction potential, stirring intensity, and influent load coefficient.

[0008] The application also provides an intelligent control method for an aerobic section of an AAO process of a sewage treatment plant, which is performed by using the intelligent controller for the aerobic section of the AAO process of the sewage treatment plant. X(t) = [d(t), o(t), g(t), L(t)]; In the formula, d(t) is the real-time dissolved oxygen concentration (mg / L); o(t) is the real-time oxidation-reduction potential (mV); g(t) is the real-time stirring intensity index; and L(t) is the influent load coefficient, which is dimensionless. The output vector is: Y(t) = [B(t), M(t)]; In the formula, B(t) ∈ {0, 1} represents the state of the air blower, 0 = off, and 1 = on; and M(t) ∈ {0, 1} represents the state of the stirrer, 0 = off, and 1 = on.

[0009] Preferably, the control logic comprises rule one: sufficient dissolved oxygen and sufficient stirring, that is, when the following conditions are met: d(t) > Dhigh, g(t) ≥ Gmin; Execution: B(t) = 0, M(t) = 1; In the formula, Dhigh = 2.5 mg / L, and Gmin = 0.6.

[0010] Preferably, the control logic comprises rule two: insufficient dissolved oxygen or abnormal oxidation-reduction potential, that is, when one of the following conditions is met: d(t) < Dlow, o(t) < Omin; Execution: B(t) = 1, M(t) = 0; In the formula, Dlow = 1.5 mg / L, and Omin = 100 mV.

[0011] Preferably, the control logic comprises rule three: insufficient stirring intensity, that is, when the following condition is met: g(t) < Gcrit; Execution: B(t) = 1, M(t) = 1; In the formula, Gcrit = 0.4.

[0012] Preferably, the control logic comprises a time sequence control rule: When it is detected that B(t) changes from 0 to 1, the controller immediately outputs M(t) = 0, and the response delay is ≤ 50 ms; When it is detected that B(t) changes from 1 to 0, a timer t = 0 is started, and when t ≥ Ns, the default N = 30, M(t) = 1 is output.

[0013] Preferably, it also includes abnormal power failure recovery control rules: After system restart, if d(t) < Dlow, the blower is started first; if d(t) >= Dlow, the agitator is started to maintain mixing.

[0014] The present application can achieve the following beneficial effects: The present application has significant energy saving effect, and can make the operation of the sewage plant more economical. Through the interlocking control of the blower and the agitator, repeated stirring of the water body in the strong aeration state in the aerobic section is avoided, the agitator energy consumption is saved by about 20%-30%, the unit water treatment power consumption is effectively reduced, and the green operation of the sewage plant is facilitated.

[0015] The present application has simple structure, easy integration and modification. The controller has exquisite structure and clear modules, without the need to greatly modify the original electric control system, only the current detection module and control output need to be connected in series between the blower and the agitator, so that the linkage can be realized, the installation and debugging period is short, and the cost is low.

[0016] The present application can improve the service life and operation safety of the equipment. The long-time operation of the agitator in unnecessary period is reduced, the mechanical wear and motor heating are effectively reduced, and the service life is prolonged. At the same time, the damage of the equipment caused by working condition contradiction (such as cavitation caused by simultaneous aeration and stirring) is avoided, and the system operation safety and control accuracy are improved. BRIEF DESCRIPTION OF DRAWINGS

[0017] Figure 1 The present application is a system diagram.

[0018] In the figure: 1, state detection unit; 2, control host; 3, output control unit; 4, water quality detection unit. DETAILED DESCRIPTION

[0019] The technical solutions in the embodiments of the present application will be described clearly and completely below in combination with the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor are within the scope of protection of the present application.

[0020] It should be noted that the AAO process described in the present application is a biological denitrification and phosphorus removal sewage treatment process, the full name of which is "anaerobic-anoxic-aerobic process". The process realizes the simultaneous removal of organic matter, nitrogen and phosphorus in sewage by using the metabolic characteristics of different microorganisms through the series connection of anaerobic tank, anoxic tank and aerobic tank, and is one of the main processes commonly used in municipal sewage treatment plants.

[0021] For example, Figure 1As shown, the embodiment provides an intelligent controller for the aerobic section of the AAO process of a sewage treatment plant, comprising: a state detection unit 1, which is connected to a control host 2, and which collects the running states of the blower and the agitator in real time through a current sensor or a digital input module; a water quality detection unit 4, which is connected to the control host 2, and which is used to detect real-time water quality data; the control host 2, which receives the state signals of the blower and the agitator, as well as the water quality data, and executes the built-in linkage control logic; an output control unit 3, which controls the start and stop of the blower and the agitator through the linkage control logic.

[0022] As an option, the output control unit 3 can adopt a relay or a thyristor.

[0023] As an option, the control host 2 is a PLC or an embedded chip.

[0024] In the above embodiment, specifically, the real-time water quality data includes the dissolved oxygen concentration, the oxidation-reduction potential, the stirring intensity, and the influent load coefficient.

[0025] As another preferred embodiment of the present application, the embodiment provides an intelligent control method for the aerobic section of the AAO process of a sewage treatment plant, which is performed by using the intelligent controller for the aerobic section of the AAO process of a sewage treatment plant according to any one of the above embodiments, collects the dissolved oxygen concentration, the oxidation-reduction potential, the stirring intensity, and the influent load coefficient in real time, and controls the opening state of the blower and the agitator by using a multi-parameter input-double-output logic decision model; wherein the input vector is: X(t)=[d(t),o(t),g(t),L(t)] ; wherein d(t) is the real-time dissolved oxygen concentration (mg / L), o(t) is the real-time oxidation-reduction potential (mV), g(t) is the real-time stirring intensity index, and L(t) is the influent load coefficient, which is dimensionless; the output vector is: Y(t)=[B(t),M(t)] ; wherein B(t)∈{0,1} represents the state of the blower, 0=off, 1=on; and M(t)∈{0,1} represents the state of the agitator, 0=off, 1=on.

[0026] As shown in the following table:

[0027] The present application uses the above key monitoring parameters as control logic input, and combines water quality in real time to control the blower and the agitator in linkage, so that the aerobic section is in the best operating state in real time.

[0028] In the control process, the present application includes the following control rules: Rule one: when the dissolved oxygen is sufficient and the agitation is sufficient, i.e. when the following conditions are met: d(t)>Dhigh, g(t)≥Gmin; Execution: B(t)=0, M(t)=1; Wherein: Dhigh=2.5mg / L, Gmin=0.6; Rule two: when the dissolved oxygen is insufficient or the oxidation-reduction potential is abnormal, i.e. when one of the following conditions is met: d(t)<Dlow, o(t)<Omin; Execution: B(t)=1, M(t)=0; Wherein: Dlow=1.5mg / L, Omin=100mV; Rule three: when the agitation intensity is insufficient, i.e. when the following condition is met: g(t)<Gcrit; Execution: B(t)=1, M(t)=1; Wherein: Gcrit=0.4.

[0029] In some preferred embodiments, the timing control rule is further included: When B(t) is detected from 0→1, the controller immediately outputs M(t)=0, and the response delay≤50ms; When B(t) is detected from 1→0, a timer t=0 is started, and when t≥Ns, the default N=30, M(t)=1 is output.

[0030] In some other preferred embodiments, the abnormal power failure recovery control rule is further included: After the system is restarted, if d(t)<Dlow is detected, the blower is started first; if d(t)≥Dlow, the agitator is started to maintain mixing.

[0031] As shown in the following table, the control logic of the present application can be expressed as the following table logic.

[0032]

[0033] The intelligent control method based on a mathematical model combines parameters such as DO, ORP, stirring intensity, motor load and the like collected by an online sensor in real time, adopts a fuzzy control or a logic rule judgment strategy, and realizes dynamic optimization linkage control of the blower and the stirrer. The controller comprehensively judges whether to start or stop the blower and the stirrer according to real-time water quality conditions, load changes, stirring efficiency and the like, thereby avoiding the problem of high energy consumption or insufficient stirring caused by the traditional "one start and one stop" logic, and further improving the energy efficiency level and the intelligent control degree.

[0034] Finally, it should be pointed out that the above embodiments are only used to illustrate the technical solutions of the present application and are not limiting. Although the present application has been described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that the technical solutions of the present application can be modified or replaced by equivalents without departing from the purpose and scope of the present application, and they should be covered in the scope of the claims of the present application.

Claims

1. An intelligent controller for the aerobic section of an AAO process in a sewage treatment plant, characterized in that, The utility model relates to an intelligent controller for the aerobic section of the AAO process in a sewage treatment plant, comprising: a state detection unit (1) for real-time acquisition of the operating state of the blower and the agitator via a current sensor or a digital input module; a water quality detection unit (4) for real-time acquisition of water quality data; a control host (2) for receiving the state signals of the blower and the agitator and the water quality data and executing the built-in linkage control logic; an output control unit (3) for linkage control of the start / stop of the blower and the agitator.

2. The intelligent controller for the aerobic section of the AAO process of a sewage treatment plant according to claim 1, characterized in that, The output control unit (3) is a relay or a thyristor.

3. The intelligent controller for the aerobic section of the AAO process of a sewage treatment plant as claimed in claim 1, wherein, The control host (2) is a PLC or an embedded chip.

4. The intelligent controller for the aerobic section of the AAO process of a sewage treatment plant according to claim 1, characterized in that, The real-time water quality data include the dissolved oxygen concentration, the oxidation-reduction potential, the stirring intensity and the influent load coefficient.

5. An intelligent control method for the aerobic section of an AAO process of a sewage treatment plant, characterized in that, The intelligent controller for the aerobic section of the AAO process in a sewage treatment plant according to any one of claims 1-4 is used to acquire the dissolved oxygen concentration, the oxidation-reduction potential, the stirring intensity and the influent load coefficient in real time, and a multi-parameter input-double-output logic decision model is used to control the start state of the blower and the agitator; wherein the input vector is: X(t)=[d(t), o(t), g(t), L(t)]; wherein d(t) is the real-time dissolved oxygen concentration (mg / L), o(t) is the real-time oxidation-reduction potential (mV), g(t) is the real-time stirring intensity index, and L(t) is the influent load coefficient, which is dimensionless; and the output vector is: Y(t)=[B(t), M(t)]; wherein B(t) ∈ {0, 1} represents the state of the blower, 0 = off and 1 = on; and M(t) ∈ {0, 1} represents the state of the agitator, 0 = off and 1 = on.

6. The intelligent control method for the aerobic section of an AAO process in a sewage treatment plant according to claim 5, characterized in that, The control logic includes rule one: sufficient dissolved oxygen and sufficient stirring, i.e. when the following conditions are met: d(t) > Dhigh and g(t) ≥ Gmin; execute: B(t) = 0 and M(t) = 1; 7. The intelligent controller for the aerobic section of the AAO process of a sewage treatment plant as claimed in claim 5, wherein, wherein Dhigh = 2.5 mg / L and Gmin = 0.

6. The control logic includes rule two: insufficient dissolved oxygen or abnormal oxidation-reduction potential, i.e. when one of the following conditions is met: d(t) < Dlow or o(t) < Omin; execute: B(t) = 1 and M(t) = 0; 8.The intelligent control method for the aerobic section of the AAO process of a sewage treatment plant according to claim 1, characterized in that, wherein Dlow = 1.5 mg / L and Omin = 100 mV. The control logic includes rule three: insufficient stirring intensity, i.e. when the following condition is met: g(t) < Gcrit; execute: B(t) = 1 and M(t) = 1; 9.The intelligent control method for the aerobic section of an AAO process in a sewage treatment plant according to claim 1, characterized in that, wherein Gcrit = 0.

4. It also includes a timing control rule: when B(t) is detected to change from 0 to 1, the controller immediately outputs M(t) = 0, and the response delay is ≤ 50 ms; 10.The intelligent control method for the aerobic section of the AAO process of a sewage treatment plant according to claim 1, characterized in that, when B(t) is detected to change from 1 to 0, a timer t = 0 is started, and when t ≥ Ns, by default Ns = 30, M(t) = 1 is output. It also includes an abnormal power failure recovery control rule: after system restart, if d(t) < Dlow is detected, the blower is started first; if d(t) ≥ Dlow, the agitator is started to maintain mixing.

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