CN109976187A - The sewage management platform for being optimized based on biochemical wastewater treatment and being finely aerated - Google Patents
The sewage management platform for being optimized based on biochemical wastewater treatment and being finely aerated Download PDFInfo
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- CN109976187A CN109976187A CN201910153344.9A CN201910153344A CN109976187A CN 109976187 A CN109976187 A CN 109976187A CN 201910153344 A CN201910153344 A CN 201910153344A CN 109976187 A CN109976187 A CN 109976187A
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- C—CHEMISTRY; METALLURGY
- C02—TREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
- C02F—TREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
- C02F7/00—Aeration of stretches of water
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B17/00—Systems involving the use of models or simulators of said systems
- G05B17/02—Systems involving the use of models or simulators of said systems electric
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02W—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO WASTEWATER TREATMENT OR WASTE MANAGEMENT
- Y02W10/00—Technologies for wastewater treatment
- Y02W10/10—Biological treatment of water, waste water, or sewage
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Abstract
The present invention relates to technical field of sewage, specially a kind of sewage management platform optimized based on biochemical wastewater treatment and be finely aerated, including data reception module, database, prediction module, model building module, model parameter setting module, model correction module, process modeling library, prediction scheme analog module, decision-making module and control module.Data reception module is used to receive the parameter information that each sewage treatment plant uploads, and database is used for parameter information;Prediction module is used to predict the variation tendency of each state parameter of sewage;Process modeling inventory contains the process modeling of each sewage treatment plant;Prediction scheme analog module is used for sewage treatment plant the progress prediction scheme simulation of the case where under the action of external disturbance and generates control program model.It is provided by the invention based on biochemical wastewater treatment optimize with the sewage management platform that is finely aerated, can Optimizing Process Parameters, realize the fine-grained management of sewage treatment process, reduce the power consumption for the treatment of process.
Description
Technical field
It is specially a kind of to be optimized based on biochemical wastewater treatment and be finely aerated the present invention relates to technical field of sewage
Sewage management platform.
Background technique
Biological treatment is the sewage disposal technology widely used at present, and process is a complicated biochemical process,
There is also many optimization spaces to expose especially in terms of aeration control during biochemical treatment for existing sewage disposal system
Gas is most heavy in a very important link and the almost all of sewage plant using biological treatment in sewage treatment
The energy consumption link wanted is come from sewage treatment plant's power consumption of some country, and aeration occupies the 50-70% of total power consumption, so
Aerating system is the key link of the energy-saving operation of entire sewage plant.
The aeration control in China is started late, and what many sewage plants used is still that manual operation is combined with automatic monitoring
Mode.Domestic aeration control method mainly has artificial aeration control, semi-automatic aeration control and Full-automatic aeration control at present
System.Manual operation mainly adjusts blower air quantity according to measurement dissolved oxygen concentration and effluent quality, under this operation, stablizes
Property is poor, usually up to standard as far as possible in order to be discharged, aeration quantity can bigger than normal and labor intensity it is big.Even if semi-automatic aeration control is realized
The acquisition and transmission of data, but still remain the big problem of labor intensity.Full-automatic aeration control is future development
Trend, and Full-automatic aeration control at present still has that aeration is not accurate, power consumption is high, be easy to cause the waste of resource.
Summary of the invention
The invention is intended to provide a kind of sewage management platform optimized based on biochemical wastewater treatment and be finely aerated, Neng Gouyou
Change technological parameter, realizes the fine-grained management of sewage treatment process, reduce the power consumption for the treatment of process.
In order to solve the above-mentioned technical problem, the application provides the following technical solutions:
The sewage management platform for being optimized based on biochemical wastewater treatment and being finely aerated, comprising:
Data reception module, the parameter information uploaded for receiving each sewage treatment plant, the parameter information includes water
Prime number evidence and water data;
Database, the database are used to store the parameter current information and history parameters letter of each sewage treatment plant
It ceases, is also stored with prediction related data in the database;
Prediction module, the prediction module are used for according to parameter current information, historical parameter information and prediction dependency number
It is predicted according to the variation tendency of each state parameter of the sewage to each sewage treatment plant and generates prediction result;
Process modeling library, the process modeling inventory contain the process modeling of each sewage treatment plant;
Prediction scheme analog module, the prediction scheme analog module are used for the process modeling according to sewage treatment plant to sewage treatment plant
Prediction scheme analog result is simulated and generated to the prediction scheme for carrying out external disturbance, and the prediction scheme analog module is also used to be simulated according to prediction scheme and tie
The process modeling of fruit and sewage treatment plant generates control program model;
Decision-making module, the decision-making module are used for the prediction result match control scheme model according to prediction module and generate
Parameter configuration scheme, the parameter configuration scheme includes aeration quantity;
Control module, the control module is for setting the sewage treatment of each sewage treatment plant according to parameter configuration scheme
Standby operating parameter is regulated and controled.
In technical solution of the present invention, the parameter information by receiving each sewage treatment plant constructs a perfect sewage
Database is handled, prediction module is realized by big data analysis means to each sewage according to the data of sewage treatment database
Each state parameter of the sewage for the treatment of plant, such as water quality, the variation tendency of water are predicted, and then can be determined in advance
Plan and deployment, by prediction scheme analog module, using process modeling library, to each sewage treatment plant under the action of external disturbance
Situation is simulated and emulates such as the case where Sewage shock or emergency event, generates prediction scheme analog result, and be directed to prediction scheme
Analog result is analyzed, and the control program model for being directed to different external disturbances is generated, and decision-making module is then based on prediction module
Prediction result, make corresponding aid decision suggestion, generate parameter configuration scheme, and by control module remotely to each sewage
The sewage disposal device for the treatment of plant is regulated and controled, and then auto-control equipment running status, reach adjustment and Optimizing Process Parameters,
Realize the purpose of factory's group's scheduling and fining control., can be to the regulation that aeration quantity is refined during this, it can be with
Optimal parameter configuration is made for various external disturbances, aeration efficiency is improved, reduces aeration energy consumption.
Further, the prediction scheme simulation includes temperature change simulation, water change modeling and sludge loading amount changing pattern
It is quasi-.Prediction scheme simulation is carried out in terms of temperature, water and sludge loading amount three, can be covered common all kinds of external disturbances and be made
At emergency case.
Further, the state parameter includes temperature data, water data and sludge loading amount data, from temperature, water
Three aspects of amount and sludge loading amount are predicted, are adapted with prediction scheme simulation.
Further, the water quality data includes temperature data, pH data, DO data, SS data, COD data, ammonia nitrogen number
According to, total nitrogen data and total phosphorus data, the water quality condition of sewage can be more comprehensively reacted.
It further, further include model building module and model parameter setting module, the model building module is used for for pipe
Reason personnel create process modeling, and the model parameter setting module is used to set the parameters of process modeling for user, convenient
Administrative staff create process modeling.
It further, further include model correction module, the model correction module includes parameter calibration analysis module and sensitivity
Property analysis module, the model correction module for process modeling of the administrative staff to sewage treatment plant for being corrected.It can be with
Process modeling is corrected, so that prediction scheme simulation is more accurate.
Further, the process modeling uses ASM2D model.ASM2D model includes multiple biochemical reaction processes, model group
Point, Chemical Measurement constant and kinetic parameter, biology can be simulated except processes such as carbon, denitrogenation and dephosphorization, be widely used in
Sewage treatment field.
Detailed description of the invention
Fig. 1 is that the present invention is based on the logical boxs of biochemical wastewater treatment optimization and the sewage management platform embodiment being finely aerated
Figure;
Fig. 2 is that the present invention is based on aerators in factory's group's monitoring water quality and the sewage management platform embodiment two of modelling management
Structure sectional view.
Specific embodiment
It is further described below by specific embodiment:
Appended drawing reference in Figure of description include: installing pipe 1, mounting base 2, installation set 3, connecting tube 4, the first jet pipe 5,
Aeration plate 6, tension spring 7, motor 8, first gear 9, the second spline 10, the first spline 11.
Embodiment one
As shown in Figure 1, the disclosed sewage management platform optimized based on biochemical wastewater treatment and be finely aerated of the present embodiment,
Including data reception module, database, prediction module, model building module, model parameter setting module, model correction module,
Process modeling library, prediction scheme analog module, decision-making module and control module.Wherein:
Data reception module is used to receive the parameter information that each sewage treatment plant uploads, and parameter information includes water quality number
According to, water data and equipment operating data.Database is used to store the parameter current information and history of each sewage treatment plant
Parameter information is also stored with prediction related data in database.In this implementation, water quality data includes temperature data, pH data, DO
Data, SS data, COD data, ammonia nitrogen data, total nitrogen data and total phosphorus data.Predict that related data includes sewage treatment plant
Geographical location, geography and climate, history rainfall information, the weather forecast information in location etc..
Prediction module be used for according to parameter current information, historical parameter information and prediction related data to each sewage at
The variation tendency for managing each state parameter of the sewage of factory is predicted and generates prediction result.In the present embodiment, state parameter
Including temperature data, water data and sludge loading amount data, prediction module using existing BP neural network technology come into
Row prediction specifically constructs one three layers of BP neural network model, including input layer, hidden layer and output layer, this implementation first
In example, using the parameter information of sewage treatment plant and prediction related data as the input of input layer, therefore input layer has 13
Node, and output is the prediction to temperature, water and sludge loading amount, therefore shares 3 nodes;It is directed to hidden layer, this reality
It applies example and has used following formula to determine the quantity of hidden node:Wherein l is the number of nodes of hidden layer, and n is
The number of nodes of input layer, m are the number of nodes of output layer, and a is a number between 1 to 10, are taken as 3 in the present embodiment, therefore hidden
Layer shares 7 nodes.BP neural network generallys use the excitation function of Sigmoid differentiable function and linear function as network.
Excitation function of the S type tangent function tansig as hidden neuron is selected herein.Prediction model chooses S type logarithmic function
Excitation function of the tansig as output layer neuron.After the building of BP network model, the history parameters of database are utilized
Information and prediction related data are trained model as sample, due to being stored with data over the years in database,
The model obtained after the completion of training can obtain accurate prediction result.
Process modeling inventory contains the process modeling of each sewage treatment plant;Model building module is used to create for administrative staff
Process modeling is built, model parameter setting module is used to set the parameters of process modeling for user.Model correction module includes
Parameter calibration analysis module and sensitivity analysis module, model correction module are used for for administrative staff to the technique of sewage treatment plant
Model is corrected.In this implementation, process modeling uses ASM2D model.ASM2D includes 21 biochemical reaction processes, 19 kinds of moulds
Type component, 22 Chemical Measurement constants and 42 kinetic parameters can simulate biology and remove the processes such as carbon, denitrogenation and dephosphorization,
It is widely used in sewage treatment field, in the present embodiment, by taking AAO process modeling as an example, user selects AAO when creating model
Process modeling, the layout for then drawing each equipment in sewage treatment plant are completed model creation, are then set by model parameter
Cover half block is configured the parameters of process modeling, parameter, the volume of node, oxygen mass transfer coefficient, row of node of such as intaking
The parameters such as mud amount, interior regurgitant volume.After process modeling creates, for effluent quality result and the actual conditions phase for obtaining model
Symbol, it is also necessary to check and checking research be carried out to model, the model correction module in the present embodiment can pass through parameter for user
Calibration and sensitivity analysis are corrected model, parameter calibration refer to parameter substitute into model obtains calculated result, then
Calculated result is compared with measured data, is adjusted according to calculated result to parameter, so that measured data and calculating data
Difference is minimum, such as the calibration for the parameter for component of intaking, then is sampled and tests according to table one.
Table one
In the present embodiment, sensitivity analysis module can for user to model carry out sensitivity analysis, and then to model into
Row checks work.
Prediction scheme analog module be used for according to the process modeling of sewage treatment plant to sewage treatment plant external disturbance effect
Under situation carry out prediction scheme simulation and generate prediction scheme analog result, prediction scheme simulation includes temperature change simulation, water change modeling
And sludge loading amount change modeling, prediction scheme analog module are also used to the technique mould according to prediction scheme analog result and sewage treatment plant
Type generates control program model.Control program model includes match parameter and regulation parameter, and match parameter includes the control program
The parameter area of model applicable sewage quality and water, including water data, temperature data and sludge loading amount parameter, are adjusted
Controlling parameter includes the parameters such as aeration quantity, aeration time, interior return flow.
Decision-making module is obtained for being matched according to the prediction result of prediction module with the match parameter of control program model
To most matched control program model and using the regulation parameter of control program model as parameter configuration scheme.
Control module is used for according to parameter configuration scheme to the operating parameter of the sewage disposal device of each sewage treatment plant
Regulated and controled.
In the present embodiment, the parameter information by receiving each sewage treatment plant constructs a perfect sewage treatment number
According to library, prediction module is realized by big data analysis means to each sewage treatment plant according to the data of sewage treatment database
Sewage each state parameter, such as water quality, the variation tendency of water predicted, and then can carry out decision and portion in advance
Administration, by prediction scheme analog module, using process modeling library, to each sewage treatment plant the external disturbance the case where, as sewage rushes
It hits or the case where emergency event, prediction scheme simulation is carried out in terms of temperature, water and sludge loading amount three, can be covered common
All kinds of external disturbances caused by emergency case, then generate prediction scheme analog result, and analyzed for prediction scheme analog result,
The control program model for being directed to different external disturbances is generated, decision-making module then based on the prediction result of prediction module, makes phase
The aid decision suggestion answered generates parameter configuration scheme, and by the control module remotely sewage treatment to each sewage treatment plant
Equipment is regulated and controled, and then auto-control equipment running status, reach adjustment and Optimizing Process Parameters, realize factory's group's scheduling and
Refine the purpose of control.During this, various external disturbances can be directed to the regulation that aeration quantity is refined
Optimal parameter configuration is made, aeration efficiency is improved, reduces aeration energy consumption.
Embodiment two
As shown in Fig. 2, the difference between this embodiment and the first embodiment lies in: it further include aerating system in the present embodiment, institute
Stating aerating system includes control cabinet, aerator and the pipeline for connecting aerator, and array distribution has installation straight up on pipeline
Pipe 1, aerator include installation set 3 and mounting base 2, and mounting base 2 and installing pipe 1 are rotatablely connected, between mounting base 2 and installation set 3
Be fixedly connected, and be equipped with 30 degree of angle between installation set 3 and installing pipe 1, be additionally provided with motor 8 in installing pipe 1, motor 8 it is defeated
Shaft is equipped with first gear 9, and second gear is socketed in mounting base 2, and the motor 8 can control the rotation of mounting base 2, in turn
It can control the inclined direction of installation set 3, installation set 3 is equipped with aeration head, and the aeration head includes aeration plate 6 and connecting tube 4,
Connecting tube 4 is equipped with the first spline 11 and the second spline 10, and installation set 3 is protruded into far from one end of pipeline in one end of connecting tube 4,
It is equipped with Turbo Flora keyway in installation set 3 and is equipped with swivelling chute on the top of Turbo Flora keyway, connecting tube 4 passes through 11 He of the first spline
Second spline 10 is connect with installation set 3, and part of the connecting tube 4 between the first spline 11 and the second spline 10 is equipped with the first spray
Pipe 5 and the second jet pipe, first jet pipe 5 and the second jet pipe are symmetrical arranged and along the eccentric axial of installation set 3 not in same
On straight line, connecting tube 4, which protrudes into, is equipped with tension spring 7 between one end in installation set 3 and installation set 3.
Pipeline connection has aeration blower, and solenoid valve is equipped between each aerator and pipeline, is equipped in the control cabinet
Controller and wireless communication module, controller module and control module data connection, solenoid valve and controller by wireless communication
Connection, configuration parameter relevant to aeration in parameter configuration scheme is sent to controller by control module, by controller to air blast
Machine and solenoid valve are controlled;Control module includes aeration control module, and aeration control module includes occlusion adjustments module, institute
Occlusion adjustments module is stated for judging some region of aeration in biochemical reaction tank according to the received DO data of data reception module
Whether device blocks, and occlusion adjustments module is also used to when detecting that a certain region DO data are too low, controls other surrounding exposures
The motor 8 of gas device rotates, and adjusts the blocked aerator of the inclined direction alignment of these aerators, while controlling blocking region
The corresponding solenoid valve discontinuity opening and closing of aerator.
In the present embodiment, since installation set 3 is obliquely installed, the aeration plate 6 of aerator top surface can be made to tilt, Jin Erke
To allow Parts of deposits to slide from aeration plate 6, when aerator being avoided to be not turned on, accumulative deposit object, tilts simultaneously on aeration plate 6
The aeration plate 6 of setting can make the direction for spraying gas change, and then increase the time of contact of gas and sewage, work as exposure
When gas disk 6 blocks, under the influence of air pressure, aeration head can be moved up along spline, be rotated simultaneously, when the first jet pipe 5
When leaking out with the second jet pipe, the first spline 11 is entered in swivelling chute at this time, due to the first jet pipe 5 and the second jet pipe central symmetry
Distribution, therefore under the reaction of the gas of ejection, on the one hand aeration head rotation, the first jet pipe 5 and the second jet pipe can be used as
Spare spray orifice is aerated the sewage of surrounding after the blocking of aeration plate 6, and on the other hand, the first jet pipe 5 and the second jet pipe make
Aeration head rotation is obtained, aeration head can be cleaned, the opening and closing cooperation tension spring 7 of solenoid valve discontinuity is it is also possible that aeration head
Displacement up and down reciprocatingly occurs, further the deposit on aeration head can be cleared up, is carried out after realizing aerator blocking
Self-cleaning function.When aerator blocking is more serious, surrounding aerator adjusts the direction of aeration plate 6 by motor 8,
Gas is sprayed to the aerator direction of blocking, the sewage of blocking region can be aerated, while water flow being pushed to flow, to stifled
The aeration plate 6 of the aerator of plug is cleared up, and whether can restore according to aerator after cleaning, judges that aerator is internal stifled
Plug or external blocking.
The above are merely the embodiment of the present invention, the common sense such as well known specific structure and characteristic are not made excessively herein in scheme
Description, all common of technical field that the present invention belongs to before one skilled in the art know the applying date or priority date
Technological know-how can know the prior art all in the field, and have using routine experiment means before the date
Ability, one skilled in the art can improve in conjunction with self-ability under the enlightenment that the application provides and implement we
Case, some typical known features or known method should not become the barrier that one skilled in the art implement the application
Hinder.It should be pointed out that for those skilled in the art, without departing from the structure of the invention, if can also make
Dry modification and improvement, these also should be considered as protection scope of the present invention, these all will not influence the effect that the present invention is implemented and
Patent practicability.The scope of protection required by this application should be based on the content of the claims, the specific reality in specification
Applying the records such as mode can be used for explaining the content of claim.
Claims (7)
1. the sewage management platform for being optimized based on biochemical wastewater treatment and being finely aerated, comprising:
Data reception module, the parameter information uploaded for receiving each sewage treatment plant, the parameter information includes water quality number
According to water data;
Database, the database are used to store the parameter current information and historical parameter information of each sewage treatment plant, institute
It states and is also stored with prediction related data in database;
Prediction module, the prediction module are used for according to parameter current information, historical parameter information and prediction related data pair
The variation tendency of each state parameter of the sewage of each sewage treatment plant is predicted and generates prediction result;
Process modeling library, the process modeling inventory contain the process modeling of each sewage treatment plant;
Prediction scheme analog module, the prediction scheme analog module are used for according to the process modeling of sewage treatment plant to sewage treatment plant outside
The case where under the action of portion's interference, carries out prediction scheme simulation and generates prediction scheme analog result, and the prediction scheme analog module is also used to basis
The process modeling of prediction scheme analog result and sewage treatment plant generates control program model;
Decision-making module, the decision-making module are used for the prediction result match control scheme model according to prediction module and generate parameter
Allocation plan, the parameter configuration scheme includes aeration quantity;
Control module, the control module are used for according to parameter configuration scheme to the sewage disposal device of each sewage treatment plant
Operating parameter is regulated and controled.
2. the sewage management platform according to claim 1 optimized based on biochemical wastewater treatment and be finely aerated, feature
Be: the prediction scheme simulation includes temperature change simulation, water change modeling and sludge loading amount change modeling.
3. the sewage management platform according to claim 2 optimized based on biochemical wastewater treatment and be finely aerated, feature
Be: the state parameter includes temperature data, water data and sludge loading amount data.
4. the sewage management platform according to claim 3 optimized based on biochemical wastewater treatment and be finely aerated, feature
Be: the water quality data includes temperature data, pH data, DO data, SS data, COD data, ammonia nitrogen data, total nitrogen data
And total phosphorus data.
5. the sewage management platform according to claim 4 optimized based on biochemical wastewater treatment and be finely aerated, feature
It is: further includes model building module and model parameter setting module, the model building module is used to create for administrative staff
Process modeling, the model parameter setting module are used to set the parameters of process modeling for user.
6. the sewage management platform according to claim 5 optimized based on biochemical wastewater treatment and be finely aerated, feature
It is: further includes model correction module, the model correction module includes parameter calibration analysis module and sensitivity analysis module,
The model correction module for process modeling of the administrative staff to sewage treatment plant for being corrected.
7. the sewage management platform according to claim 6 optimized based on biochemical wastewater treatment and be finely aerated, feature
Be: the process modeling uses ASM2D model.
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