CN106054951B - A kind of control method and system of dissolved oxygen concentration - Google Patents

A kind of control method and system of dissolved oxygen concentration Download PDF

Info

Publication number
CN106054951B
CN106054951B CN201610465040.2A CN201610465040A CN106054951B CN 106054951 B CN106054951 B CN 106054951B CN 201610465040 A CN201610465040 A CN 201610465040A CN 106054951 B CN106054951 B CN 106054951B
Authority
CN
China
Prior art keywords
oxygen concentration
dissolved oxygen
value
current
aeration
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Expired - Fee Related
Application number
CN201610465040.2A
Other languages
Chinese (zh)
Other versions
CN106054951A (en
Inventor
林梅金
苏彩红
伍俊
戚景亮
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Foshan University
Original Assignee
Foshan University
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Foshan University filed Critical Foshan University
Priority to CN201610465040.2A priority Critical patent/CN106054951B/en
Publication of CN106054951A publication Critical patent/CN106054951A/en
Application granted granted Critical
Publication of CN106054951B publication Critical patent/CN106054951B/en
Expired - Fee Related legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05DSYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
    • G05D11/00Control of flow ratio
    • G05D11/02Controlling ratio of two or more flows of fluid or fluent material
    • G05D11/13Controlling ratio of two or more flows of fluid or fluent material characterised by the use of electric means
    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B13/00Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion
    • G05B13/02Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric
    • G05B13/04Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric involving the use of models or simulators
    • G05B13/042Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric involving the use of models or simulators in which a parameter or coefficient is automatically adjusted to optimise the performance

Abstract

A kind of control method and system of dissolved oxygen concentration.Wherein, method includes the following steps: obtaining the current aeration control amount of aerobic tank and current dissolved oxygen concentration in real time;The related parameter values in preset prediction model are updated according to current aeration control amount, calculate the dissolved oxygen concentration predicted value of prediction model;By current dissolved oxygen concentration and dissolved oxygen concentration predictor calculation prediction deviation, dissolved oxygen concentration predicted value is corrected according to prediction deviation, obtains dissolved oxygen concentration corrected value;Based on default majorized function and dissolved oxygen concentration corrected value, rolling optimization is carried out, calculates aeration control increment;Current aeration control amount and aeration control increment are subjected to summation operation, output aeration control value is to being aerated execution module.The application adjusts aeration control value in real time, achievees the purpose that adaptively to adjust tracking, to improve the control precision of dissolved oxygen concentration.

Description

A kind of control method and system of dissolved oxygen concentration
Technical field
This application involves sewage treatment field, the control method and system of especially a kind of dissolved oxygen concentration.
Background technique
With the acceleration of industrial process, the living standard of people is improved constantly, but the following environmental problem allows People endure puzzlement to the fullest extent.Promoting industry to develop towards intelligence, green direction has been the inexorable trend in future.
Sewage treatment improves the important measures of environment, has also welcome unprecedented hair as Industrial Green development is promoted Opportunity is opened up, efficient, low energy consumption sewage treatment control technology meets historical development trend, has important practical significance.
In sewage disposal process, the dissolved oxygen concentration of aerobic tank is a key variables for influencing sewage treating efficiency. It is the necessary condition of nitrobacteria growth, affects the efficiency that ammonia in sewage disposal process is converted to nitrate, and dissolved oxygen The control of concentration is mostly realized by aeration effect, and therefore, the control to aeration is the key link of sewage disposal process.
In the prior art, traditional PID control is currently to run a kind of most common Dissolved Oxygen concentration Control mode, it has Have the advantages that structure is simple, stability is good, reliable operation, easy to adjust.However, the change procedure of dissolved oxygen concentration is entered water temperature Various influences such as degree, the discharge of sewage, water-quality constituents and pH value, have the characteristics that nonlinearity and uncertainty, dissolution The structure and parameter of oxygen concentration model cannot be grasped completely, it is necessary to determine by experience and field adjustable, in this case, adopt It is difficult to adaptively adjust control parameter with traditional PID control method, control precision is not high, it is difficult to obtain ideal control effect Fruit.
Summary of the invention
The application provides the control method and system of a kind of dissolved oxygen concentration, solves existing Dissolved Oxygen concentration Control method control The not high problem of precision processed.
According to a first aspect of the present application, the application provides a kind of control method of dissolved oxygen concentration, comprising the following steps: The current aeration control amount K of aerobic tank is obtained in real timeLa(k) and current dissolved oxygen concentration So(k), wherein k is current time;Foundation Current aeration control amount KLa(k) related parameter values in preset prediction model are updated, the dissolved oxygen concentration of prediction model is calculated Predicted valueCalculate current dissolved oxygen concentration So(k) and dissolved oxygen concentration predicted valueIt calculates prediction deviation e (k), root It is predicted that deviation e (k) is to dissolved oxygen concentration predicted valueIt is corrected, obtains dissolved oxygen concentration corrected value Based on default majorized function and dissolved oxygen concentration corrected valueRolling optimization is carried out, aeration control increment Delta is calculated KLa(k);By current aeration control amount KLa(k) with aeration control increment Delta KLa(k) summation operation is carried out, aeration control is exported Value KLa(k+1) is to aeration execution module to change its aeration quantity to aeration control value KLa(k+1)。
Preferably, the prediction model is based on dissolved oxygen concentration model set AallIt establishes, AallExpression formula are as follows:
Wherein,For measurement point number, a=[ai1,…,aiN] indicate ith measurement point under vector model;
The expression formula of the prediction model are as follows:
Wherein,Dissolved oxygen concentration predicted value is tieed up for P;It is initial that dissolved oxygen concentration is tieed up for P to be updated Value;It is made of comprising model information matrix A the vector model under current measurement point;ΔKLa,M(k) aeration control increment is tieed up for M.
Preferably, the expression formula of the majorized function are as follows:
So,refIt is P dimension expectation reference locus;Q is that P × P ties up error weight matrix, realizes the inhibition to tracking error;R be M × M dimension control weight matrix, realizes the inhibition changed to control amount.
Preferably, the prediction deviationIt is described according to prediction deviation e (k) to dissolved oxygen concentration Predicted valueIt is corrected, obtains dissolved oxygen concentration corrected valueThe step of, specifically:
According to prediction deviation e (k), dissolved oxygen concentration predicted value is corrected according to following formula:
Wherein, S and h is design factor.
Preferably, aeration control increment Delta KLa(k) expression formula are as follows:
And aeration control value KLa(k+1)=KLa(k)+ΔKLa(k)。
According to a second aspect of the present application, the application provides a kind of control system of dissolved oxygen concentration, comprising: detection mould Block, for detecting the current aeration control amount K of aerobic tankLa(k) and current dissolved oxygen concentration So(k);Processing module, for obtaining in real time Take the current aeration control amount K of aerobic tankLa(k) and current dissolved oxygen concentration So(k), wherein k is current time;It is exposed according to current Gas control amount KLa(k) related parameter values in preset prediction model are updated, the dissolved oxygen concentration predicted value of prediction model is calculatedCalculate current dissolved oxygen concentration So(k) and dissolved oxygen concentration predicted valueIt calculates prediction deviation e (k), according to prediction Deviation e (k) is to dissolved oxygen concentration predicted valueIt is corrected, obtains dissolved oxygen concentration corrected valueBased on pre- If majorized function and dissolved oxygen concentration corrected valueRolling optimization is carried out, aeration control increment Delta K is calculatedLa(k); By current aeration control amount KLa(k) with aeration control increment Delta KLa(k) summation operation is carried out, aeration control value K is exportedLa(k+ 1) to aeration execution module to change its aeration quantity to aeration control value KLa(k+1);It is aerated execution module, for receiving aeration Measure controlling value KLa(k+1) to change itself aeration quantity.
Preferably, the prediction model is based on dissolved oxygen concentration model set AallIt establishes, AallExpression formula are as follows:
Wherein,For measurement point number, a=[ai1,…,aiN] indicate ith measurement point under vector model;
The expression formula of the prediction model are as follows:
Wherein,Dissolved oxygen concentration predicted value is tieed up for P;It is initial that dissolved oxygen concentration is tieed up for P to be updated Value;It is made of comprising model information matrix A the vector model under current measurement point;ΔKLa,M(k) aeration control increment is tieed up for M.
Preferably, the expression formula of the majorized function are as follows:
So,refIt is P dimension expectation reference locus;Q is that P × P ties up error weight matrix, realizes the inhibition to tracking error;R be M × M dimension control weight matrix, realizes the inhibition changed to control amount.
Preferably, the prediction deviation
Processing module is used for according to prediction deviation e (k), corrects dissolved oxygen concentration predicted value according to following formula:
Wherein, S and h is design factor.
Preferably, aeration control increment Delta KLa(k) expression formula are as follows:
And aeration control value KLa(k+1)=KLa(k)+ΔKLa(k)。
The beneficial effect of the application is, since the application obtains the current aeration control amount K of aerobic tank in real timeLa(k) and it is current Dissolved oxygen concentration So(k), wherein k is current time;According to current aeration control amount KLa(k) it updates in preset prediction model Related parameter values, calculate the dissolved oxygen concentration predicted value of prediction modelCalculate current dissolved oxygen concentration So(k) and it is molten Solve oxygen concentration predicted valueIt calculates prediction deviation e (k), according to prediction deviation e (k) to dissolved oxygen concentration predicted valueInto Row correction, obtains dissolved oxygen concentration corrected valueBased on default majorized function and dissolved oxygen concentration corrected valueRolling optimization is carried out, aeration control increment Delta K is calculatedLa(k);By current aeration control amount KLa(k) it and is aerated Controlling increment Δ KLa(k) summation operation is carried out, aeration control value K is exportedLa(k+1) is to aeration execution module to change its exposure Tolerance is to aeration control value KLa(k+1).Its input data of prediction model real-time update reaches adaptive adjustment tracking, thus Adjustment aeration control value in real time, to improve the control precision of dissolved oxygen concentration.
Detailed description of the invention
Fig. 1 is a kind of flow chart of the control method of dissolved oxygen concentration of the application.
Fig. 2 is a kind of structural schematic diagram of the control method of dissolved oxygen concentration of the application.
Fig. 3 is the experiment effect figure for applying the control method of dissolved oxygen concentration of the application.
Specific embodiment
Below by specific embodiment combination attached drawing, invention is further described in detail.
A kind of control method of dissolved oxygen concentration, this method are applied to the processing module of the control system of dissolved oxygen concentration, As shown in Figure 1, comprising the following steps:
S101: the current aeration control amount K of aerobic tank is obtained in real timeLa(k) and current dissolved oxygen concentration So(k), wherein k is Current time.
Aeration quantity and current dissolved oxygen concentration are obtained after over-sampling and removal noise, can be right in order to remove noise Measurement data carries out smooth treatment, prevents the interference of noise.Since prediction model includes multiple measurement points, in the present embodiment, when Preceding aeration control amount KLa(k) and current dissolved oxygen concentration SoIt (k) is resulting based on current measurement point.Wherein, current aeration control Amount K processedLa(k) and current dissolved oxygen concentration So(k) it is not single numerical value, is the function of a real-time change, each moment A corresponding numerical value.Wherein, k is current time, refers to the current time of the control system of dissolved oxygen concentration of the invention.Dissolution The control system of oxygen concentration has the preset duty cycle, is subsequent time K+1 after a duty cycle.
S102: according to current aeration control amount KLa(k) related parameter values in preset prediction model are updated, prediction is calculated The dissolved oxygen concentration predicted value of model
Specifically, measuring dissolved oxygen concentration in advance, its sampled value a is obtainedi=a (iT), i=1,2 ..., T are sampling week Phase.Have the characteristics that asymptotically stability in view of the dissolved oxygen concentration input/output relation in biochemical wastewater treatment system, therefore, N step Dissolved oxygen concentration output later tends towards stability, i.e. aN=as=a (∞).In order to remove measurement noise, light has been carried out to measurement data Sliding processing, sets vector a=[a1,…,aN]TReferred to as vector model, N are modeling time domain.Due in biochemical processing procedure of sewage, Since violent fluctuation occurs at any time for the flow water quality that sewage enters water, the dissolved oxygen concentration in aerobic tank is caused to become therewith Change, moreover, dissolved oxygen concentration model has the characteristics that nonlinearity, therefore, in step response sampling step, needs to establish Vector model set A under multi-operating pointsall
AallExpression formula are as follows:
Wherein,For measurement point number, a=[ai1,…,aiN] indicate ith measurement point under vector model.Predict mould Type is based on dissolved oxygen concentration model set AallIt establishes,
The expression formula of the prediction model are as follows:
Above formula can specifically be write as:
Wherein,Dissolved oxygen concentration predicted value is tieed up for P;It is initial that dissolved oxygen concentration is tieed up for P to be updated Value;It is made of comprising model information matrix A the vector model under current measurement point;ΔKLa,M(k) aeration control increment is tieed up for M.
There are certain corresponding relationships with dissolved oxygen concentration for aeration quantity, dense by acquiring the dissolved oxygen under different aeration quantity in advance Degree evidence constitutes the data of aeration quantity and dissolved oxygen concentration to (KLa, So), get current aeration control amount KLa(k) after, foundation Above-mentioned data are to can obtain dissolved oxygen concentration.P dimension dissolved oxygen concentration initial value is updated againAccording to above-mentioned expression formula Acquire dissolved oxygen concentration predicted value
S103: current dissolved oxygen concentration S is calculatedo(k) and dissolved oxygen concentration predicted valueIt calculates prediction deviation e (k), root It is predicted that deviation e (k) is to dissolved oxygen concentration predicted valueIt is corrected, obtains dissolved oxygen concentration corrected value
Specifically, prediction deviationAccording to prediction deviation e (k), according to following formula school Positive dissolved oxygen concentration predicted value:
Wherein, S and h is design factor.
Can value h=[1 0.86 ... 0.86],
S104: based on default majorized function and dissolved oxygen concentration corrected valueRolling optimization is carried out, calculates and exposes Gas control increment Delta KLa(k);
Above formula is the expression formula of majorized function, wherein So,refIt is P dimension expectation reference locus;Q is that P × P ties up error power square Battle array realizes the inhibition to tracking error;R is M × M dimension control weight matrix, realizes the inhibition changed to control amount.
Determine aeration control increment Delta KLa(k) the step of, is as follows:
It can obtain:
By extreme value necessary condition dJ (k)/d Δ KLa,M(k)=0 the aeration control increment inscribed when can obtain M is following formula:
Above formula gives Δ KLa(k),…,ΔKLa(k+M-1) optimal value, then the expression formula of aeration control increment is as follows:
Wherein, M ties up row vector cT=[1 0 ... 0] Expression takes the operation of header element, and Q takes the unit matrix of P × P, and R=0.00001*I, I are M × M unit matrix.
S105: by current aeration control amount KLa(k) with aeration control increment Delta KLa(k) it sums up, exports aeration quantity control Value K processedLa(k+1) is to aeration execution module to change its aeration quantity to aeration control value KLa(k+1)。
By current aeration control amount KLa(k) with aeration control increment Delta KLa(k) it sums up, obtains aeration control value Expression formula are as follows: KLa(k+1)=KLa(k)+ΔKLa(k).The aeration control value is output to aeration execution module, so that exposing Gas execution module changes its aeration quantity, and then adjusts dissolved oxygen concentration in aerobic tank, reaches the control to dissolved oxygen concentration.Together When, prediction model output is updated in subsequent time:To which adjustment is aerated in real time Controlling value is measured, to improve the control precision of dissolved oxygen concentration, while also there is better real-time and stability.
The present invention also provides a kind of control systems of dissolved oxygen concentration, as shown in Fig. 2, comprising: detection module 101, place Manage module 102 and aeration execution module 103.
Detection module 101 is arranged in aerobic tank, is used to detect the current aeration control amount K of aerobic tankLa(k) and it is current molten Solve oxygen concentration So(k)。
Processing module 102 for obtaining the current aeration control amount K of aerobic tank in real timeLa(k) and current dissolved oxygen concentration So (k), wherein k is current time;According to current aeration control amount KLa(k) dissolved oxygen concentration phase in preset prediction model is updated Pass value calculates the dissolved oxygen concentration predicted value of prediction modelCalculate current dissolved oxygen concentration So(k) and dissolved oxygen concentration Predicted valueIt calculates prediction deviation e (k), according to prediction deviation e (k) to dissolved oxygen concentration predicted valueIt is corrected, Obtain dissolved oxygen concentration corrected valueBased on default majorized function to dissolved oxygen concentration corrected valueInto Row optimization, and calculate aeration control increment Delta KLa(k);By current aeration control amount KLa(k) with aeration control increment Delta KLa(k) It sums up, exports aeration control value KLa(k+1)。
Aeration execution module 103 is for receiving aeration control value KLa(k+1) to change itself aeration quantity.
Fig. 3 is a kind of exemplary effect picture of the invention.
In this example, there are preposition two isometric anaerobic reation pool V1=V2=1000m3And one of postposition is aerobic Reaction tank V3=3999m3.In order to embody the validity of proposed Dissolved Oxygen concentration Control method, selected two kinds it is typical right Than algorithm, it is fixed dynamic matrix Dissolved Oxygen concentration Control method (C1) that one is models, and another kind is common PI control method (C2).Wherein, under C1 control, model is in operating point KLaIt is established on=135, algorithm other parameters are referring to " specific embodiment party The explanation of formula " part.Under C2 control, control parameter is set as KP=25, Ti=0.002.
In order to compare the running effect under different control method effects, we have selected performance indicator IAE, and (deviation is exhausted To value integrate) and the calculated value of IAE (deviation integrated square) compare and analyze.
From figure 3, it can be seen that tracking error changes very little based on self-adaptive dynamic model of the invention, have more preferable Stability and real-time.
The above content is specific embodiment is combined, further detailed description of the invention, and it cannot be said that this hair Bright specific implementation is only limited to these instructions.For those of ordinary skill in the art to which the present invention belongs, it is not taking off Under the premise of from present inventive concept, a number of simple deductions or replacements can also be made.

Claims (6)

1. a kind of control method of dissolved oxygen concentration, it is characterised in that: the following steps are included:
The current aeration control amount K of aerobic tank is obtained in real timeLa(k) and current dissolved oxygen concentration So(k), wherein k is current time;
According to current aeration control amount KLa(k) related parameter values in preset prediction model are updated, the molten of prediction model is calculated Solve oxygen concentration predicted value
Calculate current dissolved oxygen concentration So(k) and dissolved oxygen concentration predicted valueIt calculates prediction deviation e (k), it is inclined according to prediction Poor e (k) is to dissolved oxygen concentration predicted valueIt is corrected, obtains dissolved oxygen concentration corrected value
Based on default majorized function and dissolved oxygen concentration corrected valueRolling optimization is carried out, aeration control increment is calculated ΔKLa(k);
By current aeration control amount KLa(k) with aeration control increment Delta KLa(k) summation operation is carried out, aeration control value is exported KLa(k+1) is to aeration execution module to change its aeration quantity to aeration control value KLa(k+1);
The prediction model is based on dissolved oxygen concentration model set AallIt establishes, AallExpression formula are as follows:
Wherein,For measurement point number, a=[ai1,...,aiN] indicate ith measurement point under vector model;
The expression formula of the prediction model are as follows:
Wherein,Dissolved oxygen concentration predicted value is tieed up for P;Dissolved oxygen concentration initial value is tieed up for P to be updated;Packet Matrix A containing model information is made of the vector model under current measurement point;ΔKLa,M(k) aeration control increment is tieed up for M;
The expression formula of the default majorized function are as follows:
So,refIt is P dimension expectation reference locus;Q is that P × P ties up error weight matrix, realizes the inhibition to tracking error;R is M × M dimension Weight matrix is controlled, realizes the inhibition changed to control amount.
2. method described in any one according to claim 1, it is characterised in that:
The prediction deviation
It is described according to prediction deviation e (k) to dissolved oxygen concentration predicted valueIt is corrected, obtains dissolved oxygen concentration corrected valueThe step of, specifically:
According to prediction deviation e (k), dissolved oxygen concentration predicted value is corrected according to following formula:
Wherein, S and h is design factor.
3. method described in any one according to claim 1, it is characterised in that:
Aeration control increment Delta KLa(k) expression formula are as follows:
And aeration control value KLa(k+1)=KLa(k)+ΔKLa(k)。
4. a kind of control system of dissolved oxygen concentration, it is characterised in that: include:
Detection module, for detecting the current aeration control amount K of aerobic tankLa(k) and current dissolved oxygen concentration So(k);
Processing module obtains the current aeration control amount of aerobic tank and current dissolved oxygen concentration, wherein k is current time in real time;According to The related parameter values in preset prediction model are updated according to current aeration control amount, calculate the dissolved oxygen concentration prediction of prediction model Value;Current dissolved oxygen concentration and dissolved oxygen concentration predictor calculation prediction deviation are calculated, according to prediction deviation to dissolved oxygen concentration Predicted value is corrected, and obtains dissolved oxygen concentration corrected value;Based on default majorized function and dissolved oxygen concentration corrected value, rolled Dynamic optimization, calculates aeration control increment;Current aeration control amount and aeration control increment are subjected to summation operation, export aeration quantity Controlling value is to aeration execution module to change its aeration quantity to aeration control value;
It is aerated execution module, for receiving aeration control value KLa(k+1) to change itself aeration quantity;
Wherein, the prediction model is based on dissolved oxygen concentration model set AallIt establishes, AallExpression formula are as follows:
Wherein,For measurement point number, a=[ai1,...,aiN] indicate ith measurement point under vector model;
The expression formula of the prediction model are as follows:
Wherein,Dissolved oxygen concentration predicted value is tieed up for P;Dissolved oxygen concentration initial value is tieed up for P to be updated;Include Model information matrix A is made of the vector model under current measurement point;ΔKLa,M(k) aeration control increment is tieed up for M;
The expression formula of the majorized function are as follows:
So,refIt is P dimension expectation reference locus;Q is that P × P ties up error weight matrix, realizes the inhibition to tracking error;R is M × M dimension Weight matrix is controlled, realizes the inhibition changed to control amount.
5. according to system described in claim 4 any one, it is characterised in that:
The prediction deviation
Processing module is used for according to prediction deviation e (k), corrects dissolved oxygen concentration predicted value according to following formula:
Wherein, S and h is design factor.
6. according to system described in claim 4 any one, it is characterised in that:
Aeration control increment Delta KLa(k) expression formula are as follows:
And aeration control value KLa(k+1)=KLa(k)+ΔKLa(k)。
CN201610465040.2A 2016-06-22 2016-06-22 A kind of control method and system of dissolved oxygen concentration Expired - Fee Related CN106054951B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201610465040.2A CN106054951B (en) 2016-06-22 2016-06-22 A kind of control method and system of dissolved oxygen concentration

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201610465040.2A CN106054951B (en) 2016-06-22 2016-06-22 A kind of control method and system of dissolved oxygen concentration

Publications (2)

Publication Number Publication Date
CN106054951A CN106054951A (en) 2016-10-26
CN106054951B true CN106054951B (en) 2019-10-11

Family

ID=57165496

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201610465040.2A Expired - Fee Related CN106054951B (en) 2016-06-22 2016-06-22 A kind of control method and system of dissolved oxygen concentration

Country Status (1)

Country Link
CN (1) CN106054951B (en)

Families Citing this family (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106645617A (en) * 2016-11-30 2017-05-10 北海职业学院 Automatic correction method of dissolved oxygen instrument for aquiculture
CN108557991B (en) * 2017-12-19 2020-11-03 浙江博世华环保科技有限公司 Method for regulating aeration quantity of MBR (membrane bioreactor) device and method for treating landfill leachate by using MBR device
CN109019892A (en) * 2018-08-13 2018-12-18 重庆工商大学 A kind of regulation method based on data assimilation on-line optimization aeration quantity
CN117645358A (en) * 2024-01-30 2024-03-05 青岛海湾中水有限公司 Method and system for controlling dissolved oxygen concentration of biological pool

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101028956A (en) * 2007-02-06 2007-09-05 北京工业大学 Controller for multi-section water-inlet A/O biological denitrifying dissolved oxygen and carbon-source feed
CN102968058A (en) * 2012-11-13 2013-03-13 天津大学 On-line optimization control system for aeration and oxygenation of landscape water body and control method thereof
CN103197539A (en) * 2013-04-01 2013-07-10 鞍山市海汇自动化有限公司 Wastewater disposal intelligent optimization control aeration quantity method
CN103809557A (en) * 2013-12-30 2014-05-21 北京工业大学 Neural network based sewage disposal process optimal control method

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101028956A (en) * 2007-02-06 2007-09-05 北京工业大学 Controller for multi-section water-inlet A/O biological denitrifying dissolved oxygen and carbon-source feed
CN102968058A (en) * 2012-11-13 2013-03-13 天津大学 On-line optimization control system for aeration and oxygenation of landscape water body and control method thereof
CN103197539A (en) * 2013-04-01 2013-07-10 鞍山市海汇自动化有限公司 Wastewater disposal intelligent optimization control aeration quantity method
CN103809557A (en) * 2013-12-30 2014-05-21 北京工业大学 Neural network based sewage disposal process optimal control method

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
污水处理系统溶解氧的区间预测控制方法;项雷军等;《计算机与应用化学》;20150428;第32卷(第4期);第468-472页 *

Also Published As

Publication number Publication date
CN106054951A (en) 2016-10-26

Similar Documents

Publication Publication Date Title
CN106054951B (en) A kind of control method and system of dissolved oxygen concentration
AU2021101438A4 (en) Adaptive control method and system for aeration process
Bo et al. Online adaptive dynamic programming based on echo state networks for dissolved oxygen control
CN109062053A (en) A kind of denitration spray ammonia control method based on multivariate calibration
CN101576734B (en) Dissolved oxygen control method based on dynamic radial basis function neural network
CN108439580B (en) Dissolved oxygen concentration control system, method and device
US20160140437A1 (en) Method to predict the effluent ammonia-nitrogen concentration based on a recurrent self-organizing neural network
CN110889085A (en) Intelligent wastewater monitoring method and system based on complex network multiple online regression
CN113325702B (en) Aeration control method and device
AU2021100130A4 (en) Intelligent control method and system for sewage treatment aeration based on deep learning
CN108595892A (en) Soft-measuring modeling method based on time difference model
CN111125907B (en) Sewage treatment ammonia nitrogen soft measurement method based on hybrid intelligent model
JP6655975B2 (en) Aeration control device and aeration control method
CN101819409B (en) Chlorination control method and device
JP4700145B2 (en) Model reference automatic controller for water treatment equipment
CN116859839A (en) Industrial control method and device based on model training
US20230004780A1 (en) Multi-time Scale Model Predictive Control of Wastewater Treatment Process
CN113741182B (en) Sewage treatment process control method based on generalized value iteration
CN115754207A (en) Simulation method and system for biological sewage treatment process
CN109165247B (en) Intelligent pretreatment method for sewage measurement data
Pisa et al. LSTM-based IMC approach applied in Wastewater Treatment Plants: performance and stability analysis
Spérandio et al. Online estimation of wastewater nitrifiable nitrogen, nitrification and denitrification rates, using ORP and DO dynamics
CN113076524A (en) Water turbine axis detection data optimization processing method based on ant colony algorithm
CN107247994B (en) Fuzzy modeling method for desulfurization efficiency of tray tower desulfurization device
CN111635071A (en) Leachate treatment intelligent industrial control method based on multivariate data method

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
C10 Entry into substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant
CF01 Termination of patent right due to non-payment of annual fee

Granted publication date: 20191011

Termination date: 20200622

CF01 Termination of patent right due to non-payment of annual fee