CN105152308B - MBR aerobic tank aeration control method and control system - Google Patents
MBR aerobic tank aeration control method and control system Download PDFInfo
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- CN105152308B CN105152308B CN201510556389.2A CN201510556389A CN105152308B CN 105152308 B CN105152308 B CN 105152308B CN 201510556389 A CN201510556389 A CN 201510556389A CN 105152308 B CN105152308 B CN 105152308B
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Abstract
本发明公开了一种MBR好氧池曝气的控制方法及控制系统，其中，方法包括以下步骤：采集膜池的氨氮浓度信号；获取氨氮浓度信号与氨氮预设浓度值之间的第一残差值；通过第一阶PI算法得到好氧池的溶解氧预设浓度值；采集好氧池的溶解氧浓度信号；获取溶解氧浓度信号与溶解氧预设浓度值之间的第二残差值；通过第二阶PI算法得到好氧池曝气量值；根据好氧池曝气量值与风机性能曲线对多个鼓风机进行控制。本发明实施例的控制方法进一步考虑了膜池的生化作用，提高了控制精确度，更好地实现对MBR生化处理曝气过程的自动控制，稳定出水水质、降低污水处理能耗，简单易实现。
The invention discloses a control method and a control system for aeration of an MBR aerobic tank, wherein the method comprises the following steps: collecting an ammonia nitrogen concentration signal of a membrane tank; acquiring a first residual value between the ammonia nitrogen concentration signal and a preset ammonia nitrogen concentration value difference; obtain the dissolved oxygen preset concentration value of the aerobic tank through the first-order PI algorithm; collect the dissolved oxygen concentration signal of the aerobic tank; obtain the second residual between the dissolved oxygen concentration signal and the dissolved oxygen preset concentration value The aeration value of the aerobic pool is obtained through the second-order PI algorithm; multiple blowers are controlled according to the aeration value of the aerobic pool and the fan performance curve. The control method of the embodiment of the present invention further considers the biochemical effect of the membrane tank, improves the control accuracy, better realizes the automatic control of the aeration process of the MBR biochemical treatment, stabilizes the effluent quality, reduces the energy consumption of the sewage treatment, and is simple and easy to implement .
Description
Technical Field
The invention relates to the technical field of sewage treatment, in particular to a control method and a control system for aeration of an MBR (membrane bioreactor) aerobic tank.
Background
The current MBR (Membrane Bioreactor) engineering operation still has the defects of high energy consumption and the like, and the high energy consumption of the MBR is mainly caused by aeration in a Membrane tank and an aerobic tank. In the operation process of the conventional MBR engineering, the aeration quantity of an aerobic tank is set to be a constant value mainly depending on the experience of operators and is manually adjusted under necessary conditions, so that the problems of excessive aeration quantity when the water inlet load is too low or insufficient aeration quantity when the water inlet load is higher may exist. Therefore, the automatic control of the aeration process of MBR biochemical treatment is realized, and the method has important significance for stabilizing the effluent quality and reducing the integral sewage treatment energy consumption and cost of MBR.
In the related art, the main principle of the existing automatic control technology for sewage treatment aeration is to perform feedback control on the aeration rate by monitoring the dissolved oxygen concentration in an aeration tank. The control algorithm is generally a single-input single-output Proportional Integral (PI) or Proportional Integral Derivative (PID) algorithm. In addition, according to the specific process, a feedforward control taking the quality and quantity of inlet water as output is added on the basis of the specific process, and a control algorithm is a multi-parameter or multi-condition multi-input single-output model algorithm.
However, the following disadvantages exist in the related art:
(1) the development of the related technology is based on the sewage treatment process adopting the traditional activated sludge process, and compared with the traditional activated sludge process, the MBR has the advantages that the membrane tank with high dissolved oxygen concentration is added, the obvious pollutant aerobic degradation process still exists in the membrane tank, and the sludge backflow can influence the running state of the front-end aerobic tank, so the biochemical reaction effect of the membrane tank cannot be ignored in the control of the aeration amount of the aerobic tank.
(2) When single-stage feedback control is adopted, the control point of the dissolved oxygen is generally set by manual experience, and errors are easy to occur. In the control system with feedforward compensation, because the working environment of the water inlet end online instrument is severe, the monitoring data is inaccurate, and the model error causes the error or oscillation of the output dissolved oxygen control point, thereby the control effect on the aeration quantity of the aerobic tank is poor.
(3) When an expert system or an internal model control strategy is adopted, the control effect is greatly influenced by the accuracy of the model and parameter calibration, and the method is difficult to be applied to large-scale practical engineering.
Disclosure of Invention
The present invention is directed to solving, at least to some extent, one of the technical problems in the related art described above.
Therefore, the invention aims to provide a control method for aeration of an MBR aerobic tank, which can improve the control accuracy and is simple and easy to implement.
The invention also aims to provide a control system for aeration of the MBR aerobic tank.
In order to achieve the above object, an embodiment of an aspect of the present invention provides a control method for aeration of an MBR aerobic tank, where the MBR includes a membrane tank, an aerobic tank, and a plurality of blowers, and the control method includes the following steps: collecting an ammonia nitrogen concentration signal of the membrane tank; acquiring a first residual value between the ammonia nitrogen concentration signal and a preset ammonia nitrogen concentration value; obtaining a preset dissolved oxygen concentration value of the aerobic tank through a first-order PI algorithm according to the first residual value; collecting a dissolved oxygen concentration signal of the aerobic tank; obtaining a second residual value between the dissolved oxygen concentration signal and a dissolved oxygen preset concentration value; obtaining an aeration quantity value of the aerobic tank through a second-order PI algorithm according to the second residual value; and controlling the plurality of blowers according to the aeration quantity value of the aerobic tank and the performance curve of the blower.
According to the MBR aerobic tank aeration control method provided by the embodiment of the invention, the preset concentration value of dissolved oxygen is obtained through the first-order PI algorithm, and the aeration quantity value of the aerobic tank is obtained through the second-order PI algorithm, so that a plurality of air blowers are controlled according to the aeration quantity value of the aerobic tank and the performance curve of the air blowers, the biochemical effect of the membrane tank is further considered, the control accuracy is improved, the automatic control of the MBR biochemical treatment aeration process is better realized, the effluent quality is stabilized, the sewage treatment energy consumption is reduced, and the MBR aerobic tank aeration control method is simple and easy to realize.
In addition, the control method for aeration of the MBR aerobic tank according to the above embodiment of the invention can also have the following additional technical characteristics:
further, in an embodiment of the present invention, after the acquiring the ammonia nitrogen concentration signal of the membrane tank and the acquiring the dissolved oxygen concentration signal of the aerobic tank, the method further includes: verifying whether the ammonia nitrogen concentration signal is effective or not according to a first preset range; and verifying whether the dissolved oxygen concentration signal is effective or not according to a second preset range.
Further, in an embodiment of the present invention, the preset concentration value of dissolved oxygen is obtained according to the following formula:
DO_setpoint＝Bias1+Kp1·e_NH+Kp1/τ1·∫e_NH，
among them, Bias1, Kp1And τ1Respectively, a first predetermined coefficient, a second predetermined coefficient and a third predetermined coefficient, e _ NH isThe first residual value.
Further, in an embodiment of the present invention, the aeration amount of the aerobic tank is obtained according to the following formula:
Q_air0＝Bias2+Kp2·e_DO+Kp2/τ2·∫e_DO，
wherein Q _ air0 is the aeration value of the aerobic pool, Bias2 and Kp2And τ2Respectively, a fourth predetermined system, a fifth predetermined system and a sixth predetermined system, and e _ DO is the second residual value.
Further, in an embodiment of the present invention, the method further includes: collecting a water flow signal; and executing corresponding water quantity compensation according to the water quantity flow signal, the preset water quantity flow value, the ammonia nitrogen concentration signal and the preset ammonia nitrogen concentration value.
In another aspect, an embodiment of the present invention provides a control system for aeration of an MBR aerobic tank, where the MBR includes: membrane tank, good oxygen pond and a plurality of air-blower, wherein, control system includes: the first acquisition module is used for acquiring an ammonia nitrogen concentration signal of the membrane pool; the first acquisition module is used for acquiring a first residual value between the ammonia nitrogen concentration signal and a preset ammonia nitrogen concentration value; the first calculation module is used for obtaining a preset dissolved oxygen concentration value of the aerobic tank through a first-order PI algorithm according to the first residual value; the second acquisition module is used for acquiring a dissolved oxygen concentration signal of the aerobic tank; the second obtaining module is used for obtaining a second residual value between the dissolved oxygen concentration signal and a dissolved oxygen preset concentration value; the second calculation module is used for obtaining an aeration quantity value of the aerobic tank through a second-order PI algorithm according to the second residual value; and the control module is used for controlling the plurality of blowers according to the aeration quantity value of the aerobic tank and the performance curve of the blower.
According to the MBR aerobic tank aeration control system provided by the embodiment of the invention, the preset concentration value of dissolved oxygen is obtained through the first-order PI algorithm, and the aeration quantity value of the aerobic tank is obtained through the second-order PI algorithm, so that a plurality of air blowers are controlled according to the aeration quantity value of the aerobic tank and the performance curve of the air blowers, the biochemical effect of the membrane tank is further considered, the control accuracy is improved, the automatic control of the MBR biochemical treatment aeration process is better realized, the effluent quality is stabilized, the sewage treatment energy consumption is reduced, and the MBR aerobic tank aeration control system is simple and easy to realize.
In addition, the control system for aeration of the MBR aerobic tank according to the above embodiment of the invention can also have the following additional technical characteristics:
further, in an embodiment of the present invention, the system further includes: the first verification module is used for verifying whether the ammonia nitrogen concentration signal is effective or not according to a first preset range; and the second verification module is used for verifying whether the dissolved oxygen concentration signal is effective or not according to a second preset range.
Further, in an embodiment of the present invention, the preset concentration value of dissolved oxygen is obtained according to the following formula:
DO_setpoint＝Bias1+Kp1·e_NH+Kp1/τ1·∫e_NH，
among them, Bias1, Kp1And τ1Respectively, a first preset coefficient, a second preset coefficient and a third preset coefficient, and e _ NH is the first residual value.
Further, in an embodiment of the present invention, the aeration amount of the aerobic tank is obtained according to the following formula:
Q_air0＝Bias2+Kp2·e_DO+Kp2/τ2·∫e_DO，
wherein Q _ air0 is the aeration value of the aerobic pool, Bias2 and Kp2And τ2Respectively, a fourth preset coefficient, a fifth preset coefficient and a sixth preset coefficient, and e _ DO is the second residual value.
Further, in an embodiment of the present invention, the system further includes: the third acquisition module is used for acquiring water flow signals; and the compensation module is used for executing corresponding water quantity compensation according to the water quantity flow signal, the preset water quantity flow value, the ammonia nitrogen concentration signal and the preset ammonia nitrogen concentration value.
Additional aspects and advantages of the invention will be set forth in part in the description which follows and, in part, will be obvious from the description, or may be learned by practice of the invention.
Drawings
The above and/or additional aspects and advantages of the present invention will become apparent and readily appreciated from the following description of the embodiments, taken in conjunction with the accompanying drawings of which:
FIG. 1 is a flow chart of a control method for aeration of an MBR aerobic tank according to an embodiment of the present invention;
FIG. 2 is a flow chart of a control method for aeration of an MBR aerobic tank, according to one embodiment of the present invention;
FIG. 3 is a schematic structural diagram of a control system for aeration of an MBR aerobic tank, according to one embodiment of the present invention.
Detailed Description
Reference will now be made in detail to embodiments of the present invention, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to the same or similar elements or elements having the same or similar function throughout. The embodiments described below with reference to the drawings are illustrative and intended to be illustrative of the invention and are not to be construed as limiting the invention.
Furthermore, the terms "first", "second" and "first" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature. In the description of the present invention, "a plurality" means two or more unless specifically defined otherwise.
In the present invention, unless otherwise expressly specified or limited, the terms "mounted," "connected," "secured," and the like are to be construed broadly and can, for example, be fixedly connected, detachably connected, or integrally connected; can be mechanically or electrically connected; they may be connected directly or indirectly through intervening media, or they may be interconnected between two elements. The specific meanings of the above terms in the present invention can be understood by those skilled in the art according to specific situations.
In the present invention, unless otherwise expressly stated or limited, "above" or "below" a first feature means that the first and second features are in direct contact, or that the first and second features are not in direct contact but are in contact with each other via another feature therebetween. Also, the first feature being "on," "above" and "over" the second feature includes the first feature being directly on and obliquely above the second feature, or merely indicating that the first feature is at a higher level than the second feature. A first feature being "under," "below," and "beneath" a second feature includes the first feature being directly under and obliquely below the second feature, or simply meaning that the first feature is at a lesser elevation than the second feature.
The control method and the control system for aeration of the MBR aerobic tank provided by the embodiment of the invention are described below with reference to the attached drawings, and firstly, the control method for aeration of the MBR aerobic tank provided by the embodiment of the invention is described with reference to the attached drawings. Wherein, MBR includes: the control method comprises the following steps of:
and S101, collecting ammonia nitrogen concentration signals of the membrane pool.
In an embodiment of the present invention, the ammonia nitrogen concentration signal may be collected by an online ammonia nitrogen concentration meter.
S102, obtaining a first residual value between the ammonia nitrogen concentration signal and a preset ammonia nitrogen concentration value.
In the embodiment of the invention, the preset ammonia nitrogen concentration value, namely the ammonia nitrogen set value can be set according to the actual situation.
S103, obtaining a preset dissolved oxygen concentration value of the aerobic tank through a first-order PI algorithm according to the first residual value.
Further, in an embodiment of the present invention, the preset concentration value of dissolved oxygen is obtained according to the following formula:
DO_setpoint＝Bias1+Kp1·e_NH+Kp1/τ1·∫e_NH，
among them, Bias1, Kp1And τ1Are respectively a first predetermined coefficientA second preset coefficient and a third preset coefficient, and e _ NH is a first residual value.
The first preset coefficient, the second preset coefficient and the third preset coefficient can be determined through debugging.
And S104, collecting a dissolved oxygen concentration signal of the aerobic tank.
In one embodiment of the present invention, the embodiment of the present invention may collect a dissolved oxygen concentration signal through an online dissolved oxygen concentration meter.
In a preferred embodiment of the invention, after collecting the ammonia nitrogen concentration signal of the membrane pool and collecting the dissolved oxygen concentration signal of the aerobic pool, the method further comprises the following steps: verifying whether the ammonia nitrogen concentration signal is effective or not according to a first preset range; and verifying whether the dissolved oxygen concentration signal is effective or not according to the second preset range.
Specifically, the first preset range and the second preset range can be both numerical value ranges set artificially, so that the data quality is judged according to the numerical value ranges set artificially, and the acquired ammonia nitrogen concentration signal and the acquired dissolved oxygen concentration signal are verified.
And S105, acquiring a second residual value between the dissolved oxygen concentration signal and the dissolved oxygen preset concentration value.
And S106, obtaining the aeration quantity value of the aerobic tank through a second-order PI algorithm according to the second residual value.
Further, in an embodiment of the present invention, the aeration amount value of the aerobic tank is obtained according to the following formula:
Q_air0＝Bias2+Kp2·e_DO+Kp2/τ2·∫e_DO，
wherein Q _ air0 is aeration value of aerobic pool, Bias2 and Kp2And τ2Respectively, a fourth preset coefficient, a fifth preset coefficient and a sixth preset coefficient, and e _ DO is a second residual value.
The fourth preset coefficient, the fifth preset coefficient and the sixth preset coefficient can be determined through debugging.
And S107, controlling a plurality of blowers according to the aeration quantity value of the aerobic tank and the performance curve of the blowers.
Specifically, the total opening degree of the fan required is calculated according to the aeration quantity, namely the aeration quantity value of the aerobic tank and the performance curve of the fan, and the action of the blower is adjusted according to the total opening degree of the fan.
Further, in an embodiment of the present invention, the control method of the embodiment of the present invention further includes: collecting a water flow signal; and executing corresponding water quantity compensation according to the water quantity flow signal, the preset water quantity flow value, the ammonia nitrogen concentration signal and the preset ammonia nitrogen concentration value.
In one embodiment of the invention, the water inlet end of the water-saving device is provided with a flow meter to collect water flow signals.
It should be understood that the setting of steps S101 to S107 is only for convenience of description, and is not intended to limit the execution order of the method.
In one embodiment of the invention, the MBR comprises: biological treatment and separation units (aerobic tank and membrane tank), an online water inlet instrument, a central controller, a blower and a controller thereof. Wherein, an online ammonia nitrogen concentration meter and an online dissolved oxygen concentration meter are arranged on the biological treatment and separation unit, and a flow meter is arranged at the water inlet end. The data monitored by the online instruments are transmitted to the central controller through the ring network, control signals are output after calculation according to specific algorithms, then the control signals are transmitted to the blower controller through the ring network, the blower controller adjusts the number of the on/off of the blowers and the opening degree of guide vanes of each blower.
Specifically, the central controller comprises a feedback cascade PI control module and a feedforward compensation control module. The feedback module firstly collects the numerical value monitored by the on-line ammonia nitrogen concentration instrument of the membrane pool and judges the data quality according to the artificially set numerical value range; and then calculating the residual error between the ammonia nitrogen concentration and the set value of the ammonia nitrogen, and calculating the set value of the dissolved oxygen concentration of the aerobic tank through a first-order PI algorithm according to the residual error. Secondly, a feedback module collects the value monitored by the online dissolved oxygen concentration meter of the aerobic tank and judges the data quality according to the artificially set value range; and then calculating the residual error between the calculated value and the set value calculated by the first-order PI algorithm, and calculating the aeration quantity of the aerobic tank through the second-order PI algorithm according to the residual error. Finally, the required total opening of the fan is calculated according to the aeration quantity and the fan performance curve, and is transmitted to the air blower controller through the ring network, and the air blower controller completes the adjustment of the action of the air blower.
Preferably, the water inlet meter can adopt an electromagnetic flow meter, the online ammonia nitrogen concentration meter can adopt an ion selective electrode method online ammonia nitrogen meter, and the online dissolved oxygen concentration meter can adopt a dissolved oxygen electrode method online dissolved oxygen meter.
In an embodiment of the invention, the control process comprises the steps of:
s1, obtaining an online ammonia nitrogen concentration NH _ RT from the online ammonia nitrogen concentration instrument of the membrane pool, verifying whether the value is in an effective range, and then calculating the residual e _ NH between the value and an ammonia nitrogen concentration set value NH _ setpoint:
e_NH＝NH_setpoint-NH_RT。
s2, calculating a set value DO _ setpoint of the dissolved oxygen concentration through a first-order PI algorithm according to e _ NH:
DO_setpoint＝Bias1+Kp1·e_NH+Kp1/τ1·∫e_NH。
s3, obtaining the online dissolved oxygen concentration DO _ RT from the online dissolved oxygen concentration instrument of the aerobic pool, verifying whether the value is in an effective range, and then calculating the residual error e _ DO between the value and the calculation result DO _ setpoint in S2:
e_DO＝DO_setpoint-DO_RT。
s4, calculating the aeration rate Q _ air0 of the aerobic tank through a second-order PI algorithm according to e _ DO:
Q_air0＝Bias2+Kp2·e_DO+Kp2/τ2·∫e_DO。
s5, obtaining on-line water quantity data from the water inlet water quantity meter, calculating the data and the design flow QdesignWhen the actual inflow flow is higher than the design flow and the online ammonia nitrogen concentration is higher than the ammonia nitrogen set value, or the actual inflow flow is lower than the design flow and the online ammonia nitrogen concentration is lower than the set value, the inflow compensation Q _ airoffset is executed:
e_influent＝Qdesign-Qinfluent，
Q_air＝Q_air0+Q_airoffset，
wherein, NH _ setpoint, QdesignThe value is a manual set value and is determined by actual engineering parameters, operation requirements and the like; bias1, Kp1、τ1、Bias2、Kp2、τ2、KairIs a coefficient, determined by debugging; NH _ RT, DO _ RT, QinfluentFor control algorithm input, obtained from each online meter.
In the embodiment of the invention, the feedback-feedforward comprehensive regulation of the aeration system can be realized, the automatic control of the aeration quantity of the aerobic tank is realized on the premise of stabilizing the effluent quality, and the comprehensive control of feedback cascade and feedforward compensation is completed.
Referring to fig. 2, a detailed description is given of a specific embodiment.
In one embodiment of the invention, reference is made to fig. 2, wherein the meter comprises: an online ammonia nitrogen instrument 1, an online dissolved oxygen instrument 2 and a water inlet flow meter 11; the central controller includes: an ammonia nitrogen residual error calculator 3, an NH-DOPI controller 4, a dissolved oxygen residual error calculator 5, a DO-aeration PI controller 6 and a feed-forward controller 7 for compensating the inflow water quantity; the biochemical reaction unit includes: a membrane tank 8 and an aerobic tank 9; the action unit is a blower and its controller 10.
The control method of the embodiment of the invention is described in detail below with reference to the attached drawings, and comprises the following steps:
(1) from the moment 0, acquiring online ammonia nitrogen concentration NH _ RT and online dissolved oxygen concentration DO _ RT from the membrane tank 8 and the aerobic tank 9 every 2min through an online ammonia nitrogen instrument 1 and an online dissolved oxygen instrument 2, and if a plurality of online instruments exist, selecting effective data results (the effective range can be manually set) and averaging;
(2) calculating the ammonia nitrogen concentration residual error e _ NH by an ammonia nitrogen residual error calculator 3, wherein the calculation formula is as follows:
e_NH＝NH_setpoint-NH_RT
wherein, NH _ setpoint is an ammonia nitrogen concentration control point, is an artificial set value and is determined by the operation requirement of the actual engineering;
(3) the NH-DOPI controller 4 operates once every 30min, and the calculation formula is as follows:
DO_setpoint＝Bias1+Kp1·e_NH+Kp1/τ1·∫e_NH
wherein, the left DO _ setpoint of the formula is the controller output, the first term on the right is the initial output of the NH-DOPI controller 4, the second term on the right is the proportional control output, the third term on the right is the integral control output (wherein the integral term is the total of all calculated e _ NH within 30 min), Bias1, Kp1、τ1Determining the controller coefficient through debugging;
(4) the dissolved oxygen concentration residual e _ DO is calculated by the dissolved oxygen residual calculator 5, and the calculation formula is as follows:
e_DO＝DO_setpoint-DO_RT
wherein DO _ setpoint is a dissolved oxygen concentration control point and is calculated and output by the NH-DOPI controller 4;
(5) the DO-aeration PI controller 6 operates once every 30min, and the calculation formula is as follows:
Q_air0＝Bias2+Kp2·e_DO+Kp2/τ2·∫e_DO
wherein, the left Q _ air0 of the formula is the controller output, the first term on the right is the initial output of the DO-aeration PI controller 6, the second term on the right is the proportional control output, the third term on the right is the integral control output (wherein the integral term is the sum of all calculated e _ DO within 30 min), Bias2, Kp2、τ2Determining the controller coefficient through debugging;
(6) the feed-forward controller 7 for water inflow compensation operates every 30min, and the calculation formula is as follows:
e_influent＝Qdesign-Qinfluent
the inflow rate Q is obtained from the inflow flowmeter 11influentCalculating it and the design flow QdesignThe residual e _ underfluent is the same as the ammonia nitrogen concentration residual e _ NHWhen the time is zero (namely the ammonia nitrogen concentration residual error and the water inlet flow residual error are in the same direction with the change requirement of the aeration quantity), the output of the feedforward controller 7 is Kair(Qinfluent/Qdesign-1), no side, the output of the feedforward control 7 is 0, where KairDetermining the controller coefficient through debugging;
(7) and adding the outputs of the DO-aeration PI controller 6 and the feed-water amount compensation feedforward controller 7 to obtain the output Q _ air of the final controller:
Q_air＝Q_air0+Q_airoffset
and Q _ air is transmitted to the blower 10, converted into a fan guide vane opening signal according to a working curve in a blower control system, and the number of the fans which are opened/closed and the guide vane opening of each fan are adjusted within a certain range.
Wherein, online ammonia nitrogen appearance 1 can adopt the online ammonia nitrogen appearance of ion selective electrode method, online dissolved oxygen appearance 2 can adopt the online dissolved oxygen appearance of dissolved oxygen electrode method, and intake flowmeter 11 can adopt the electromagnetic flowmeter.
Additionally, in one embodiment of the present invention, the present invention further contemplates automatic switching of control algorithms based on-line meter signal quality: when the water inlet flowmeter, the online ammonia nitrogen instrument and the online dissolved oxygen instrument work normally, executing second-order cascade PI control and feedforward compensation control; when the water inlet flowmeter has problems, the feedforward compensation control is cancelled; when the online ammonia nitrogen instrument has a problem, the first-order PI control is cancelled, and the dissolved oxygen concentration set point DO _ setpoint of the second-order PI control is a fixed value Bias 1; when the online dissolved oxygen meter has problems, second-order cascade PI control is cancelled, and Q _ air0 is a fixed value Bias2, so that the problem that the signal quality can not meet or can not meet the requirements completely due to the fact that the online meter in an actual sewage plant is in a severe working environment is solved.
In one embodiment of the invention, the sewage plant employs a modified AAO-MBR process, on a scale of 50000m3And d, dividing the improved AAO into 4 series, dividing the membrane separation system into 12 membrane tanks, and totally arranging 2 online ammonia nitrogen instruments, 4 online dissolved oxygen instruments and 1 water inlet flow meter. Using second-order cascadesPI + feedforward compensation control: in the NH-DOPI control process, Bias1 is 1.5mgDO/L, Kp1＝-2(mgDO/L)/(mgN/L)，τ130 min; in the DO-aeration PI control process, Bias2 is 8800m3/h、Kp2＝350(m3/h)/(mgDO/L)、τ215 min; in the feed-forward compensation controller of the water inflow amount, Qdesign＝50000m3/d，Kair＝8000m3H is used as the reference value. Through simulation calculation on model software, NH _ setpoint can be set to be 2.5mg/L in summer, and compared with the traditional constant aeration operation, the aeration rate can be saved by about 30%; NH _ setpoint is set to be 3.5mg/L in winter, and the aeration rate can be saved by about 20 percent relative to the operation with constant aeration rate.
According to the MBR aerobic tank aeration control method provided by the embodiment of the invention, the preset concentration value of dissolved oxygen is obtained through the first-order PI algorithm, and the aeration quantity value of the aerobic tank is obtained through the second-order PI algorithm, so that a plurality of air blowers are controlled according to the aeration quantity value and the fan performance curve of the aerobic tank, and the feedback cascade and feedforward compensation comprehensive control is adopted, so that the feedback-feedforward comprehensive regulation of an aeration system is realized, the biochemical effect of a membrane tank is further considered, the control accuracy is improved, the automatic control of the MBR biochemical treatment aeration process is better realized, the effluent quality is stabilized, the sewage treatment energy consumption is reduced, and the MBR aerobic tank aeration control method is simple and easy to realize.
Next, a control system for aeration of an MBR aerobic tank, which is proposed according to an embodiment of the invention, is described with reference to the accompanying drawings. The MBR comprises: the membrane tank, the aerobic tank and a plurality of blowers are shown in fig. 3, and the control system 10 comprises: a first acquisition module 100, a first acquisition module 200, a first calculation module 300, a second acquisition module 400, a second acquisition module 500, a second calculation module 600, and a control module 700.
Wherein, first collection module 100 is used for gathering the ammonia nitrogen concentration signal of membrane cisterna. The first obtaining module 200 is configured to obtain a first residual value between an ammonia nitrogen concentration signal and a preset ammonia nitrogen concentration value. The first calculation module 300 is configured to obtain a preset dissolved oxygen concentration value of the aerobic tank through a first-order PI algorithm according to the first residual value. The second collecting module 400 is used for collecting the dissolved oxygen concentration signal of the aerobic tank. The second obtaining module 500 is configured to obtain a second residual value between the dissolved oxygen concentration signal and the preset dissolved oxygen concentration value. The second calculation module 600 is configured to obtain an aeration quantity value of the aerobic tank through a second-order PI algorithm according to the second residual value. The control module 700 is used for controlling the plurality of blowers according to the aeration quantity value of the aerobic tank and the performance curve of the blowers. The control system 10 of the embodiment of the invention further considers the biochemical action of the membrane tank, improves the control accuracy, better realizes the automatic control of the aeration process of MBR biochemical treatment, stabilizes the effluent quality and reduces the energy consumption of sewage treatment.
In an embodiment of the present invention, the control system 10 of the embodiment of the present invention further includes: a first authentication module (not specifically shown) and a second authentication module (not specifically shown). The first verification module is used for verifying whether the ammonia nitrogen concentration signal is effective or not according to a first preset range; the second verification module is used for verifying whether the dissolved oxygen concentration signal is effective or not according to a second preset range.
Further, in an embodiment of the present invention, the preset concentration value of dissolved oxygen is obtained according to the following formula:
DO_setpoint＝Bias1+Kp1·e_NH+Kp1/τ1·∫e_NH，
among them, Bias1, Kp1And τ1Respectively, a first preset coefficient, a second preset coefficient and a third preset coefficient, and e _ NH is a first residual value.
Further, in an embodiment of the present invention, the aeration amount value of the aerobic tank is obtained according to the following formula:
Q_air0＝Bias2+Kp2·e_DO+Kp2/τ2·∫e_DO，
wherein Q _ air0 is aeration value of aerobic pool, Bias2 and Kp2And τ2Respectively, a fourth preset coefficient, a fifth preset coefficient and a sixth preset coefficient, and e _ DO is a second residual value.
In addition, in an embodiment of the present invention, the control system 10 of the embodiment of the present invention further includes: a third acquisition module (not specifically shown) and a compensation module (not specifically shown). And the third acquisition module is used for acquiring water flow signals. The compensation module is used for executing corresponding water quantity compensation according to the water quantity flow signal, the preset water quantity flow value, the ammonia nitrogen concentration signal and the preset ammonia nitrogen concentration value.
It should be understood that the specific implementation process of the control system for aeration of the MBR aerobic tank according to the embodiment of the present invention may be the same as the workflow of the control method for aeration of the MBR aerobic tank according to the embodiment of the present invention, and details are not described here.
According to the MBR aerobic tank aeration control system provided by the embodiment of the invention, the preset concentration value of dissolved oxygen is obtained through the first-order PI algorithm, and the aeration quantity value of the aerobic tank is obtained through the second-order PI algorithm, so that a plurality of air blowers are controlled according to the aeration quantity value and the fan performance curve of the aerobic tank, and the feedback cascade and feedforward compensation comprehensive control is adopted, so that the feedback-feedforward comprehensive regulation of the aeration system is realized, the biochemical effect of the membrane tank is further considered, the control accuracy is improved, the automatic control of the MBR biochemical treatment aeration process is better realized, the effluent quality is stabilized, the sewage treatment energy consumption is reduced, and the MBR aerobic tank aeration control system is simple and easy to realize.
Any process or method descriptions in flow charts or otherwise described herein may be understood as representing modules, segments, or portions of code which include one or more executable instructions for implementing specific logical functions or steps of the process, and alternate implementations are included within the scope of the preferred embodiment of the present invention in which functions may be executed out of order from that shown or discussed, including substantially concurrently or in reverse order, depending on the functionality involved, as would be understood by those reasonably skilled in the art of the present invention.
The logic and/or steps represented in the flowcharts or otherwise described herein, e.g., an ordered listing of executable instructions that can be considered to implement logical functions, can be embodied in any computer-readable medium for use by or in connection with an instruction execution system, apparatus, or device, such as a computer-based system, processor-containing system, or other system that can fetch the instructions from the instruction execution system, apparatus, or device and execute the instructions. For the purposes of this description, a "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transport the program for use by or in connection with the instruction execution system, apparatus, or device. More specific examples (a non-exhaustive list) of the computer-readable medium would include the following: an electrical connection (electronic device) having one or more wires, a portable computer diskette (magnetic device), a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disc read-only memory (CDROM). Additionally, the computer-readable medium could even be paper or another suitable medium upon which the program is printed, as the program can be electronically captured, via for instance optical scanning of the paper or other medium, then compiled, interpreted or otherwise processed in a suitable manner if necessary, and then stored in a computer memory.
It should be understood that portions of the present invention may be implemented in hardware, software, firmware, or a combination thereof. In the above embodiments, the various steps or methods may be implemented in software or firmware stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, any one or combination of the following techniques, which are known in the art, may be used: a discrete logic circuit having a logic gate circuit for implementing a logic function on a data signal, an application specific integrated circuit having an appropriate combinational logic gate circuit, a Programmable Gate Array (PGA), a Field Programmable Gate Array (FPGA), or the like.
It will be understood by those skilled in the art that all or part of the steps carried by the method for implementing the above embodiments may be implemented by hardware related to instructions of a program, which may be stored in a computer readable storage medium, and when the program is executed, the program includes one or a combination of the steps of the method embodiments.
In addition, functional units in the embodiments of the present invention may be integrated into one processing module, or each unit may exist alone physically, or two or more units are integrated into one module. The integrated module can be realized in a hardware mode, and can also be realized in a software functional module mode. The integrated module, if implemented in the form of a software functional module and sold or used as a stand-alone product, may also be stored in a computer readable storage medium.
The storage medium mentioned above may be a read-only memory, a magnetic or optical disk, etc.
In the description herein, references to the description of the term "one embodiment," "some embodiments," "an example," "a specific example," or "some examples," etc., mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, the schematic representations of the terms used above do not necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
Although embodiments of the present invention have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting the present invention, and that variations, modifications, substitutions and alterations can be made in the above embodiments by those of ordinary skill in the art without departing from the principle and spirit of the present invention.
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| CN108751401B (en) * | 2018-06-22 | 2020-12-22 | 北京碧水源科技股份有限公司 | MBR (membrane bioreactor) combined process air blowing system and operation method thereof |
| CN210595439U (en) * | 2019-03-26 | 2020-05-22 | 浙江海牛环境科技股份有限公司 | System for effect is carried in consumption reduction suitable for biological denitrogenation of oxidation ditch |
| CN112723526B (en) * | 2020-12-11 | 2022-06-24 | 联合环境技术(天津)有限公司 | Method for adjusting aeration air volume of aerobic tank/section of biochemical system |
| CN113354069B (en) * | 2021-07-09 | 2025-06-24 | 江苏凯米膜科技股份有限公司 | A precise aeration control system and method for MBR process |
| CN118567311B (en) * | 2024-05-15 | 2025-03-14 | 深圳碧水源水务科技有限公司 | MBR process control method and system based on image assistance |
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