CN109188899A - Accurate aeration control system and fuzzy control method for sewage treatment blurring - Google Patents
Accurate aeration control system and fuzzy control method for sewage treatment blurring Download PDFInfo
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- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B13/00—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion
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Abstract
The invention belongs to municipal wastewater technical fields, disclose a kind of accurate aeration control system for sewage treatment blurring, including front end instrument, frequency conversion system and rear end control system, end control system includes PLC control system, touch screen and fuzzy controller after described, and the programmable logic controller (PLC) of PLC control system is connect with fuzzy controller and touch panel communication respectively；And a kind of fuzzy control method based on accurate aeration control system fuzzy controller；It is high that the present invention solves traditional control system energy consumption, fluctuated the work of conference interference biosystem, after a certain instrument in system breaks down, the failure of entire control system is caused, and the problem of the systematic survey parameter of inaccuracy causes the control output of mistake.
Description
Technical field
The invention belongs to municipal wastewater technical fields, and in particular to a kind of accurate aeration control for sewage treatment blurring
System processed and fuzzy control method.
Background technique
The certain sewage treatment plant of scale, the utilization of the energy according to its position, concentration of wastewater, processing depth, reuse in factory,
Process choice and operational mode and have marked difference, therefore propose that blanket sewage treatment plant's energy consumption grade is not practical
, generally conventional bio-oxidation pond and land treatment system be energy consumption is changed it is insensitive.Advanced processes technique often needs
Want a large amount of non-renewable energy, it is also desirable to a large amount of chemical agents and related secondary energy sources.Influent concentration, water project situation, in factory
The factors such as the design and operational mode of energy regenerating are affected to the consumption of electric power energy and fuel energy.
Most of sewage treatment plants, aerating system power consumption occupy very big specific gravity in total energy consumption, improve aerating system
Operation is to reduce one of sewage treatment plant's energy consumption cost optimal path.The oxygen demand of activated sludge process is with processing water and sewage
Organic loading variation and change.Usually in the variation of sewage treatment plant's daily flow, every morning is with the discharge of sewage and oxygen supply
Amount demand also increases simultaneously.On the contrary, air demand should also be reduced when night flow is reduced.Improve dissolved oxygen automatic control controlled level
The energy of 10%-35% can be saved than manually controlling.
The typical aeration control type of sewage treatment plant's tradition mainly has two major classes:
The first kind is to directly control blower, and system acquisition is mounted on the dissolved oxygen that the dissolved oxygen analytic instrument in aerobic tank measures
Value, is compared with the setting value (this setting value can be set by the user) of system, if practical dissolved oxygen value is bigger than setting value,
Then reduce rotation speed of fan, to reduce aeration quantity, gradually declines the dissolved oxygen of aerobic tank, it is finally consistent with setting value, if
Practical dissolved oxygen value is smaller than setting value, then increases rotation speed of fan, to increase aeration quantity, on the dissolved oxygen for gradually making aerobic tank
It rises, finally consistent with setting value, for this control mode, the air pressure of aerated conduit has certain fluctuation, is unfavorable for exposing
The control of gas is generally used for the aeration control of small sewage treatment plant.
Second class is to directly control valve, and system acquisition is mounted on the dissolved oxygen that the dissolved oxygen analytic instrument in aerobic tank measures
Value, is compared with the setting value of system, goes control valve aperture according to the control mode of the above-mentioned first kind, meanwhile, system is adopted
Collect the pressure of aerated conduit, and compared with pressure set points, if actual pressure is bigger than setting value, reduces rotation speed of fan；Such as
Fruit border pressure ratio set value is small, then increases rotation speed of fan；Finally keep constant the pressure of aerated conduit, for this control
Mode, in the case where aerated conduit pressure is constant, the linear relationship of valve opening and aeration quantity is relatively good, can preferably control
Aeration quantity processed is generally used for the aeration control of large and medium-sized sewage treatment plant.
The shortcomings that both the above traditional control method, is:
A. due to time delay, i.e., from start aeration to DO in pond (dissolved oxygen) variation need a period of time, cause to dissolve
The control fluctuation of oxygen is very big；
B. conventional method energy consumption is high, and in order to guarantee to be safely operated, the DO setting value of system can only be maintained at higher numerical value
On, it maintains excessive remaining and causes to waste；
C. excessive fluctuation meeting interferes the work of biosystem so that the biotic environment in pond is unstable；
D. aeration tank dissolved oxygen is excessively high will lead to activated sludge oxygen poisoning, and aeration tank water outlet COD is caused to increase.
Summary of the invention
In order to solve the above problems existing in the present technology, it is fuzzy for sewage treatment that it is an object of that present invention to provide one kind
The accurate aeration control system and fuzzy control method changed, it is high for solving traditional control system energy consumption, fluctuated conference interference
The work of biosystem after a certain instrument in system breaks down, causes the failure of entire control system, and inaccuracy
Systematic survey parameter cause mistake control output the problem of.
The technical scheme adopted by the invention is as follows:
It is a kind of for sewage treatment blurring accurate aeration control system, including front end instrument, frequency conversion system and after
End control system, it is described after end control system include PLC control system, touch screen and fuzzy controller, PLC control system
Programmable logic controller (PLC) is connect with fuzzy controller and touch panel communication respectively；
The input terminal of programmable logic controller (PLC) and the output end of front end instrument communicate to connect；The output end of fuzzy controller
It is communicated to connect with the control terminal of frequency conversion system；
Front end instrument is set at aeration tank, and frequency conversion system is set at Aeration fan.
Further, front end instrument includes surveying with the electromagnetic flowmeter of programmable logic controller (PLC) communication connection, ammonia nitrogen
Determine instrument, COD detector, dissolved oxygen control instrument, pressure transmitter, gas flowmeter and ultrasonic level gage；COD detector packet
Influent COD detector and water outlet COD detector are included, ammonia nitrogen determination instrument includes influent ammonia nitrogen analyzer and water outlet ammonia nitrogen determination instrument；
Electromagnetic flowmeter, influent ammonia nitrogen analyzer and influent COD detector are set to aeration tank water inlet；
Water outlet ammonia nitrogen determination instrument and water outlet COD detector are set to aeration tank water outlet；
Gas flowmeter and pressure transmitter are set at the aeration inlet manifold of aeration tank；
Front end instrument includes three dissolved oxygen control instruments, is respectively arranged at water inlet end, the middle section of aeration tank aerobic zone
And water outlet；
Ultrasonic level gage is set at the aerobic zone of aeration tank.
Further, frequency conversion system includes frequency converter, is gone out positioned at the reactor of frequency converter end of incoming cables, positioned at frequency converter
The outlet reactor of line end and related low-voltage component, frequency converter are set at Aeration fan, are connected with Aeration fan control terminal
It connects, and the output end of its control terminal and fuzzy controller communicates to connect；
Accurate aeration control system further includes regulating valve, and regulating valve is located at the aeration air hose of aeration tank, and its control terminal
It is communicated to connect with the output end of fuzzy controller.
Further, fuzzy controller includes sequentially connected defuzzification interface module, fuzzy algorithmic approach module, is blurred and sentences
Certainly module and process control module；The programmable logic controller (PLC) of the arrival end PLC control system of defuzzification interface module
Output end communication connection；Process control module is communicated to connect with the control terminal of regulating valve and the control terminal of frequency converter respectively.
Further, defuzzification interface module, for receive PLC control system input variable and accurate aeration control system
The output variable of system obtains suitable corresponding domain and realizes blurring, converts input data into corresponding language variable, and structure
At fuzzy set；
Fuzzy algorithmic approach module is made of database and Linguistic control law library two parts, for providing corresponding control target
Data, history blurring judgement data and blurring algorithm data；
It is blurred judging module, for making decisions to fuzzy control process, and obtains fuzzy output；
Process control module, for converting corresponding domain for the magnitude range of fuzzy output variable, by fuzzy control
Amount is converted into precise control amount, and controls to adjust valve and frequency converter according to precise control amount.
Further, PLC control system further includes wireless communication module, wireless communication module respectively with programmable logic control
Device and monitoring center communication connection processed.
A kind of fuzzy control method based on accurate aeration control system fuzzy controller, fuzzy controller include blurring
Interface module, fuzzy algorithmic approach module, blurring judging module and process control module, fuzzy control method include following step
It is rapid:
S1: the input data received according to defuzzification interface module carries out precise volume blurring, obtains fuzzy quantity；
S2: establishing fuzzy control rule, and according to fuzzy quantity and fuzzy control rule, carries out fuzzy discrimination, obscured
Query result；
S3: fuzzy quantity is carried out non-Defuzzication processing by use process control module, and according to fuzzy query as a result, obtaining
Precise control amount；
S4: it according to precise control amount, controls to adjust valve regulation valve opening and control frequency converter adjusts blower frequency, adjust
Aeration tank air demand.
Further, step S1 includes the following steps:
S1-1: the input data received is converted into corresponding language variable using defuzzification interface module, is obscured
Amount, and the quantization of domain is carried out, obtain the practical control amount of fuzzy quantity；
The formula of practical control amount are as follows:
In formula, u, umax、uminRespectively practical control amount, maximum control amount and minimum control amount；z,zmax、zminRespectively
The amount of actually entering, maximum input quantity and minimum input quantity；k3For quantizing factor；
S1-2: according to practical control amount, carrying out fuzzy division, determine fuzzy quantity quantity, and obtains the fuzzy of fuzzy quantity
Set；
S1-3: according to the fuzzy set of fuzzy quantity, fuzzy expression is carried out, the membership function of fuzzy quantity is obtained.
Further, step S2 includes the following steps:
S2-1: according to the fuzzy set of fuzzy quantity, corresponding fuzzy control rule is established；
S2-2: made according to the membership function and fuzzy control rule of fuzzy set, fuzzy quantity using gravity model appoach principle
Fuzzy judgment is carried out with blurring judging module, obtains fuzzy query result.
Further, include: to the calculation formula of aeration quantity progress fuzzy control
Design the calculation formula of sewage oxygen demand are as follows:
In formula,To design sewage oxygen demand；S0For five-day BOD of intaking；SeIt is biochemical aerobic for water outlet five days
Amount；ΔXvFor nitrogen content in the microorganism of aeration tank discharge system；NkFor total Kjeldahl nitrogen amount of intaking；NkeTo be discharged total Kjeldahl nitrogen
Amount；NtFor nitrogen pool of intaking；N0eFor nitrogen pool of intaking；Oxygen amount needed for a, b, c, d are respectively carbon equivalent, aoxidize per kilogram ammonia nitrogen,
The oxygen content and sludge autoxidation rate of bacterial cell；N' is mixed liquor volatile suspended matter solid mean concentration；V is aeration
Pool volume；Q () is the flow of inlet water of aeration tank；
According to design sewage oxygen demand adjustment system parameter and initial threshold is set；
The calculation formula of aeration tank air demand are as follows:
In formula, GsFor aeration tank air demand；RoTo correct aeration quantity, andKoFor aerobic quantity correction coefficient；For aeration quantity；EAFor the transfer ratio of disperser.
The invention has the benefit that
1) blurring control is carried out, according to dissolved oxygen in the variation real-time control pond of dissolved oxygen；
2) precisely aeration control system accurately supplies in due course, and energy saving avoids excessive remaining and causes to waste；
3) fluctuation that dissolved oxygen is excessive in pond is avoided, ensure that bioenvironmental stabilization in pond and biosystem
It works normally；
4) it avoids aeration tank dissolved oxygen excessively high, prevents activated sludge oxygen poisoning, and reduce aeration tank and be discharged COD；
5) wireless communication module is accessed, the service such as remote debugging, diagnosis, maintenance is supported, improves the practicability of system；
6) front end instrument fault according to the collected data, is found in time and is alarmed, and finds pipeline leakage, valve in time
The abnormal phenomenon such as leakage, aeration head blocking；
7) good reliability, maintainability, scalability reduce use cost at a specified future date.
Detailed description of the invention
Fig. 1 is accurate aeration control system structural block diagram；
Fig. 2 is fuzzy controller fuzzy control process block diagram；
Fig. 3 is fuzzy control method flow chart；
Fig. 4 is the membership function curve graph of E, EC, U；
Fig. 5 is fuzzy reasoning process figure；
Fig. 6 is fuzzy reasoning result figure.
Specific embodiment
With reference to the accompanying drawing and specific embodiment does further explaination to the present invention.
Embodiment 1:
As shown in Figure 1, a kind of accurate aeration control system for sewage treatment blurring, including front end instrument, frequency conversion
System and rear end control system, the rear end control system includes PLC control system, touch screen and fuzzy controller, PLC
The programmable logic controller (PLC) of control system is connect with fuzzy controller and touch panel communication respectively；
The input terminal of programmable logic controller (PLC) and the output end of front end instrument communicate to connect；The output end of fuzzy controller
It is communicated to connect with the control terminal of frequency conversion system；
Front end instrument is set at aeration tank, and frequency conversion system is set at Aeration fan；
The model CPU1515SP of programmable logic controller (PLC), touch screen model CPU1515SP.
Preferably, front end instrument includes surveying with the electromagnetic flowmeter of programmable logic controller (PLC) communication connection, ammonia nitrogen
Determine instrument, COD detector, dissolved oxygen control instrument, pressure transmitter, gas flowmeter and ultrasonic level gage；COD detector packet
Influent COD detector and water outlet COD detector are included, ammonia nitrogen determination instrument includes influent ammonia nitrogen analyzer and water outlet ammonia nitrogen determination instrument；
Electromagnetic flowmeter, influent ammonia nitrogen analyzer and influent COD detector are set to aeration tank water inlet；
Water outlet ammonia nitrogen determination instrument and water outlet COD detector are set to aeration tank water outlet；
Gas flowmeter and pressure transmitter are set at the aeration inlet manifold of aeration tank；
Front end instrument includes three dissolved oxygen control instruments, is respectively arranged at water inlet end, the middle section of aeration tank aerobic zone
And water outlet；
Ultrasonic level gage is set at the aerobic zone of aeration tank.
Preferably, frequency conversion system includes frequency converter, go out positioned at the reactor of frequency converter end of incoming cables, positioned at frequency converter
The outlet reactor of line end and related low-voltage component, frequency converter are set at Aeration fan, are connected with Aeration fan control terminal
It connects, and the output end of its control terminal and fuzzy controller communicates to connect；
Accurate aeration control system further includes regulating valve, and regulating valve is located at the aeration air hose of aeration tank, and its control terminal
It is communicated to connect with the output end of fuzzy controller.
Preferably, as shown in Fig. 2, fuzzy controller includes sequentially connected defuzzification interface module, fuzzy algorithmic approach mould
Block, blurring judging module and process control module；The programmable of arrival end PLC control system of defuzzification interface module is patrolled
Collect the output end communication connection of controller；Process control module is communicated with the control terminal of the control terminal of regulating valve and frequency converter respectively
Connection.
Preferably, defuzzification interface module, for receive PLC control system input variable and accurate aeration control system
The output variable of system obtains suitable corresponding domain and realizes blurring, converts input data into corresponding language variable, and structure
At fuzzy set；
Fuzzy algorithmic approach module is made of database and Linguistic control law library two parts, for providing corresponding control target
Data, history blurring judgement data and blurring algorithm data；
It is blurred judging module, for making decisions to fuzzy control process, and obtains fuzzy output；
Process control module, for converting corresponding domain for the magnitude range of fuzzy output variable, by fuzzy control
Amount is converted into precise control amount, and controls to adjust valve and frequency converter according to precise control amount.
Preferably, PLC control system further includes wireless communication module, wireless communication module respectively with programmable logic control
Device and monitoring center communication connection processed.
A kind of fuzzy control method based on accurate aeration control system fuzzy controller, fuzzy controller include blurring
Interface module, fuzzy algorithmic approach module, blurring judging module and process control module, as shown in figure 3, fuzzy control method packet
Include following steps:
S1: the input data received according to defuzzification interface module carries out precise volume blurring, obtains fuzzy quantity, wraps
Include following steps:
S1-1: the input data received is converted into corresponding language variable using defuzzification interface module, is obscured
Amount, and the quantization of domain is carried out, obtain the practical control amount of fuzzy quantity；
In fuzzy control, the element of discrete domain generally takes 5-15, due to there is a quantizing process, fuzzy controller have from
Property is dissipated, so it is insensitive to the micromutation of system mode scalar, improve the adaptability and practicability of system；
This control system combines the situation of change of D0 dissolved oxygen concentration in aeration tank, and DO deviation E, output quantity U, deviation are become
The quantification gradation of rate Ec is set to 13, i.e. their discrete domain is respectively as follows:
E:X=(- 6, -5, -4, -3, -2, -1, O ,+l ,+2 ,+3 ,+4 ,+5 ,+6)；
Ec:Y=(- 6, -5, -4, -3, -2, -1, O ,+l ,+2 ,+3 ,+4 ,+5 ,+6)；
U:Z=(- 6, -5, -4, -3, -2,-l, 0 ,+1 ,+2 ,+3 ,+4 ,+5 ,+6)；
It is assumed that the basic domain of E, EC, U of DO respectively [- 2,2], [- 3,3], [500,6500], shown to obtain E, EC, U
Quantizing factor be respectively as follows: k1=6/2=3, k2=6/3=2, k3=(6500-500)/(2*6)=500；
The formula of practical control amount are as follows:
In formula, u, umax、uminRespectively practical control amount, maximum control amount and minimum control amount；z,zmax、zminRespectively
The amount of actually entering, maximum input quantity and minimum input quantity；k3For quantizing factor；
S1-2: according to practical control amount, carrying out fuzzy division, determine fuzzy quantity quantity, and obtains the fuzzy of fuzzy quantity
Set；
Domain, or output domain are inputted in fuzzy control, will take appropriate fuzzy quantity.Given for one has
Domain is limited, determines that the process of fuzzy quantity quantity claims fuzzy division in this domain, in practice, fuzzy division and quantization are that have
Direct relation, i.e., the number of element should be 1.5-2 times of fuzzy quantity in domain.For this control system, the deviation E domain of DO
Element be 13, then the number of fuzzy quantity should take 7, thus can determine fuzzy set, the fuzzy subset including E, Ec and U,
It is respectively as follows:
The fuzzy set of E is (NB, NM, NS, Z0, PS, PM, PB)；
The fuzzy set of Ec is (NB, NM, NS, Z0, PS, PM, PB)；
The fuzzy set of U is (NB, NM, NS, Z0, PS, PM, PB).
Wherein, the meaning of Fuzzy Linguistic Variable are as follows:
NB=NegativeBig (negative big)
PB=PositiveBig (honest)
NM=NegativeMedium (in negative)
PM=PositiveMedium (center)
NS=NegativeSmall (is born small)
PS=PositiveSmall (just small)
Z0=Zero (zero)
S1-3: according to the fuzzy set of fuzzy quantity, fuzzy expression is carried out, the membership function of fuzzy quantity is obtained；
The membership function shape of fuzzy quantity is known as the fuzzy expression of the fuzzy quantity in domain, and the purpose of fuzzy expression is
The membership function for being best suited for control purpose is obtained, each membership function shape of identical or different input variable can be different,
Commonly used membership function type is triangle, trapezoidal, Gaussian and bell, is influenced each other between each fuzzy set, fuzzy set
Maximum membership degree value is smaller in any two fuzzy subset in conjunction, and reflection controls sensitive seat and strangles tiger height；The value is bigger, Fuzzy Control
Device processed is stronger to the Parameters variation adaptability of controlled process, i.e., robustness is better；
The design uses triangular form for the membership function shape of fuzzy quantity, and assumes that being subordinate to curve width is 1, height
Also be 1, then the membership function curve of E, EC, U of available DO as shown in Figure 4, according to membership function curve list DO E,
The fuzzy membership functions table of EC, U are as shown in table 1；
Table 1
| E | -6 | -5 | -4 | -3 | -2 | -1 | 0 | 1 | 2 | 3 | 4 | 5 | 6 |
| NB | 1 | 0.5 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| NM | 0 | 0.5 | 1 | 0.5 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| NS | 0 | 0 | 0 | 0.5 | 1 | 0.5 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Z0 | 0 | 0 | 0 | 0 | 0 | 0.5 | 1 | 0.5 | 0 | 0 | 0 | 0 | 0 |
| PS | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.5 | 1 | 0.5 | 0 | 0 | 0 |
| PM | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.5 | 1 | 0.5 | 0 |
| PB | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.5 | 1 |
S2: establishing fuzzy control rule, and according to fuzzy quantity and fuzzy control rule, carries out fuzzy discrimination, obscured
Query result, the selection of fuzzy rule are to design the core of fuzzy controller, and fuzzy control is to go to implement with fuzzy control rule
Control, fuzzy control rule table has reached the fuzzy thinking and differentiation process when people executes control to controlled device, and design is
The process gathered is tried repeatedly, and experience induction, correlation method and Reasoning are the effective ways for establishing fuzzy rule, are belonged to
The conventional techniques and common knowledge of those skilled in the art, the format of fuzzy control rule are as follows: if A and B then
C includes the following steps:
S2-1: according to the fuzzy set of fuzzy quantity, corresponding fuzzy control rule is established；
In the present system, according to the case where can meeting in aeration process and system operation data, consider that the deviation E of DO takes
7 Fuzzy Linguistic Variables (NB, NM, NS, Z0, PS, PM, PB)；DO deviation variation rate EC take 5 language side's variables (NB, NS, Z0, PS,
PB)；Output control U takes 7 Fuzzy Linguistic Variables (NB, NM, NS, Z0, PS, PM, PB)；So fuzzy item of fuzzy control rule
Part sentence can be described as: when DO deviation E be negative big DO deviation variation rate EC be also negative big when, at this point, the DO in reactor
Concentration is very low will to improve DO concentration as early as possible, it is necessary to increase aeration quantity, so deviation should be eliminated as early as possible, increase control amount quickly
Add, so output quantity U should take honest, corresponding control rule are as follows: if E=NB AND EC=NB THEN U=PB works as E=
It is as follows that one group of fuzzy control rule can be obtained when NB:
If E=NB AND EC=NB THEN U=PB
If E=NB AND EC=NM THEN U=PB
If E=NB AND EC=NS THEN U=PB
If E=NB AND EC=Z0THEN U=PB
If E=NB AND EC=PS THEN U=PM
If E=NB AND EC=PM THEN U=PS
If E=NB AND EC=PB THEN U=ZE
It is as shown in table 2 to obtain fuzzy control table；
Table 2
S2-2: made according to the membership function and fuzzy control rule of fuzzy set, fuzzy quantity using gravity model appoach principle
Fuzzy judgment is carried out with blurring judging module, obtains fuzzy query result；
By fuzzy reasoning obtain the result is that a fuzzy set or membership function, but in actual use, especially
It is in fuzzy logic control, controlled process can only receive the amount of being accurately controlled, it is necessary to once be converted, be converted
For clearly digital quantity；Gravity model appoach is to take fuzzy membership functions curve and axis of abscissas surrounds the center of gravity of area as being clearly worth
Method is adopted to element X each in its domain using it as the weighting coefficient of the degree of membership U (X) wait adjudicate output fuzzy set U
It is computationally intensive with gravity model appoach, need in this way it is a large amount of calculate the time, therefore combine offline computing method in the design, will count
The mode that result input PLC application is tabled look-up is calculated, because without occupying the too many time, also having kept control precision, and is originally set
Meter uses Mamdani (Ma Dani) immediate reasoning method, and the characteristics of this method is really to see, and simple operation is quick；It is needed using gravity model appoach
Do following reasoning process:
It is assumed that the domain grade point after deviation E, the deviation variation rate EC of system input DO are quantified is respectively -3,2, from table
3.1 it is found that the input deviation domain value -3 of DO is related with Linguistic Value fuzzy subset NM, NS, i.e. uNM(- 3)=0.5, uNS(- 3)=
0.5 remaining degree of membership is all zero；Deviation variation rate domain value 2 is only related with Linguistic Value fuzzy subset PS, i.e. uPS(2)=1；Cause
And according to 2 fuzzy control rule table of table can proper E=NM, EC=PS when, U=PS；As E=NS, EC=PS, U=ZE, institute
To the input value of current deviation and deviation variation rate, only following two control rules work:
One: if E=NM AND EC=PS THEN U=PS of rule
Two: if E=NS AND EC=PS THEN U=ZE of rule
Fuzzy reasoning is carried out to the above two rules application Mamdani immediate reasoning method, reasoning process is as shown in Figure 5, first
It first takes the minimum of the first two condition to be subordinate to angle value, then result is carried out to take cut set that can obtain:
uPS(- 3,2)=min { 0.5,1 }=0.5
uZE(- 3,2)=min { 0.5,1 }=0.5
Take " simultaneously " set operation to obtain shown in Fig. 6 the above reasoning process as a result, and fuzzy judgment formula are as follows:
In formula, U is output quantity；
When the input domain value of the deviation E of DO is -3, when the input domain value of deviation variation rate EC is 2, output control amount U
Domain be 1, the domain table i.e. fuzzy control search table of all output quantity U can be obtained according to above reasoning process, as shown in table 3；
Table 3
S3: fuzzy quantity is carried out non-Defuzzication processing by use process control module, and according to fuzzy query as a result, obtaining
Precise control amount；
S4: it according to precise control amount, controls to adjust valve regulation valve opening and control frequency converter adjusts blower frequency, adjust
Aeration tank air demand.
Preferably, the calculation formula for carrying out fuzzy control to aeration quantity includes:
Design the calculation formula of sewage oxygen demand are as follows:
In formula,To design sewage oxygen demand；S0For five-day BOD of intaking；SeIt is biochemical aerobic for water outlet five days
Amount；ΔXvFor nitrogen content in the microorganism of aeration tank discharge system；NkFor total Kjeldahl nitrogen amount of intaking；NkeTo be discharged total Kjeldahl nitrogen
Amount；NtFor nitrogen pool of intaking；N0eFor nitrogen pool of intaking；Oxygen amount needed for a, b, c, d are respectively carbon equivalent, aoxidize per kilogram ammonia nitrogen,
The oxygen content and sludge autoxidation rate of bacterial cell；N' is mixed liquor volatile suspended matter solid mean concentration；V is aeration
Pool volume；Q () is the flow of inlet water of aeration tank；
According to design sewage oxygen demand adjustment system parameter and initial threshold is set；
The calculation formula of aeration tank air demand are as follows:
In formula, GsFor aeration tank air demand；RoTo correct aeration quantity, andKoFor aerobic quantity correction coefficient；For aeration quantity；EAFor the transfer ratio of disperser.
The present invention provides a kind of accurate aeration control system and fuzzy control method for sewage treatment blurring, solutions
Traditional control system energy consumption of having determined is high, fluctuates the work of conference interference biosystem, and event occurs in a certain instrument in system
After barrier, the failure of entire control system is caused, and the problem of the systematic survey parameter of inaccuracy causes the control output of mistake.
The present invention is not limited to above-mentioned optional embodiment, anyone can show that other are each under the inspiration of the present invention
The product of kind form.Above-mentioned specific embodiment should not be understood the limitation of pairs of protection scope of the present invention, protection of the invention
Range should be subject to be defined in claims, and specification can be used for interpreting the claims.
Claims (10)
1. a kind of accurate aeration control system for sewage treatment blurring, it is characterised in that: including front end instrument, frequency conversion system
System and rear end control system, it is described after end control system include PLC control system, touch screen and fuzzy controller, it is described
The programmable logic controller (PLC) of PLC control system is connect with fuzzy controller and touch panel communication respectively；
The input terminal of the programmable logic controller (PLC) and the output end of front end instrument communicate to connect；The fuzzy controller it is defeated
Outlet and the control terminal of frequency conversion system communicate to connect；
The front end instrument is set at aeration tank, and the frequency conversion system is set at Aeration fan.
2. the accurate aeration control system according to claim 1 for sewage treatment blurring, it is characterised in that: described
Front end instrument include with the electromagnetic flowmeter of programmable logic controller (PLC) communication connection, ammonia nitrogen determination instrument, COD detector, molten
Solve oxygen controller, pressure transmitter, gas flowmeter and ultrasonic level gage；The COD detector includes influent COD detection
Instrument and water outlet COD detector, the ammonia nitrogen determination instrument include influent ammonia nitrogen analyzer and water outlet ammonia nitrogen determination instrument；
The electromagnetic flowmeter, influent ammonia nitrogen analyzer and influent COD detector are set to aeration tank water inlet；
The water outlet ammonia nitrogen determination instrument and water outlet COD detector are set to aeration tank water outlet；
The gas flowmeter and pressure transmitter are set at the aeration inlet manifold of aeration tank；
The front end instrument includes three dissolved oxygen control instruments, is respectively arranged at water inlet end, the middle section of aeration tank aerobic zone
And water outlet；
The ultrasonic level gage is set at the aerobic zone of aeration tank.
3. the accurate aeration control system according to claim 2 for sewage treatment blurring, it is characterised in that: described
Frequency conversion system includes frequency converter, the reactor positioned at frequency converter end of incoming cables, the outlet reactor positioned at frequency converter leading-out terminal
And related low-voltage component, the frequency converter is set at Aeration fan, connect with Aeration fan control terminal, and its control terminal
It is communicated to connect with the output end of fuzzy controller；
The accurate aeration control system further includes regulating valve, and the regulating valve is located at the aeration air hose of aeration tank, and it is controlled
The communication connection of the output end of end processed and fuzzy controller.
4. the accurate aeration control system according to claim 3 for sewage treatment blurring, it is characterised in that: described
Fuzzy controller includes sequentially connected defuzzification interface module, fuzzy algorithmic approach module, blurring judging module and excessively program-controlled
Molding block；The output end communication link of the programmable logic controller (PLC) of the arrival end PLC control system of the defuzzification interface module
It connects；The process control module is communicated to connect with the control terminal of regulating valve and the control terminal of frequency converter respectively.
5. the accurate aeration control system according to claim 4 for sewage treatment blurring, it is characterised in that: described
Defuzzification interface module is obtained for receiving the input variable of PLC control system and the output variable of accurate aeration control system
Suitable corresponding domain realizes blurring, converts input data into corresponding language variable, and constitute fuzzy set；
The fuzzy algorithmic approach module is made of database and Linguistic control law library two parts, for providing corresponding control target
Data, history blurring judgement data and blurring algorithm data；
The blurring judging module, for making decisions to fuzzy control process, and obtains fuzzy output；
The process control module, for converting corresponding domain for the magnitude range of fuzzy output variable, by fuzzy control
Amount is converted into precise control amount, and controls to adjust valve and frequency converter according to precise control amount.
6. the accurate aeration control system according to claim 5 for sewage treatment blurring, it is characterised in that: described
PLC control system further includes wireless communication module, and the wireless communication module is respectively and in programmable logic controller (PLC) and monitoring
Heart communication connection.
7. a kind of fuzzy control method based on accurate aeration control system fuzzy controller, it is characterised in that:
The fuzzy controller includes defuzzification interface module, fuzzy algorithmic approach module, blurring judging module and process control
Module, the fuzzy control method include the following steps:
S1: the input data received according to defuzzification interface module carries out precise volume blurring, obtains fuzzy quantity；
S2: establishing fuzzy control rule, and according to fuzzy quantity and fuzzy control rule, carries out fuzzy discrimination, obtain fuzzy query
As a result；
S3: fuzzy quantity is carried out non-Defuzzication processing by use process control module, and according to fuzzy query as a result, obtaining accurate
Control amount；
S4: it according to precise control amount, controls to adjust valve regulation valve opening and control frequency converter adjusts blower frequency, adjust aeration
Pond air demand.
8. the accurate aeration control system according to claim 7 for sewage treatment blurring, it is characterised in that: described
Step S1 includes the following steps:
S1-1: being converted into corresponding language variable for the input data received using defuzzification interface module, obtain fuzzy quantity, and
The quantization for carrying out domain, obtains the practical control amount of fuzzy quantity；
The formula of the practical control amount are as follows:
In formula, u, umax、uminRespectively practical control amount, maximum control amount and minimum control amount；z,zmax、zminIt is respectively practical
Input quantity, maximum input quantity and minimum input quantity；k3For quantizing factor；
S1-2: according to practical control amount, fuzzy division is carried out, determines fuzzy quantity quantity, and obtains the fuzzy set of fuzzy quantity；
S1-3: according to the fuzzy set of fuzzy quantity, fuzzy expression is carried out, the membership function of fuzzy quantity is obtained.
9. the accurate aeration control system according to claim 8 for sewage treatment blurring, it is characterised in that: described
Step S2 includes the following steps:
S2-1: according to the fuzzy set of fuzzy quantity, corresponding fuzzy control rule is established；
S2-2: mould is used using gravity model appoach principle according to the membership function and fuzzy control rule of fuzzy set, fuzzy quantity
It is gelatinized judging module and carries out fuzzy judgment, obtain fuzzy query result.
10. the accurate aeration control system according to claim 9 for sewage treatment blurring, it is characterised in that: right
Aeration quantity carry out fuzzy control calculation formula include:
Design the calculation formula of sewage oxygen demand are as follows:
In formula,To design sewage oxygen demand；S0For five-day BOD of intaking；SeTo be discharged five-day BOD；ΔXv
For nitrogen content in the microorganism of aeration tank discharge system；NkFor total Kjeldahl nitrogen amount of intaking；NkeTo be discharged total Kjeldahl nitrogen amount；NtFor into
Water nitrogen pool；N0eFor nitrogen pool of intaking；A, b, c, d are respectively oxygen amount, bacterial cell needed for carbon equivalent, oxidation per kilogram ammonia nitrogen
Oxygen content and sludge autoxidation rate；N' is mixed liquor volatile suspended matter solid mean concentration；V is aeration pool volume；Q
() is the flow of inlet water of aeration tank；
According to design sewage oxygen demand adjustment system parameter and initial threshold is set；
The calculation formula of aeration tank air demand are as follows:
In formula, GsFor aeration tank air demand；RoTo correct aeration quantity, andKoFor aerobic quantity correction coefficient；
For aeration quantity；EAFor the transfer ratio of disperser.
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| CN109879410A (en) * | 2019-03-27 | 2019-06-14 | 上海西派埃智能化系统有限公司 | Sewage treatment aeration control system |
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| CN109879410B (en) * | 2019-03-27 | 2022-05-13 | 上海西派埃智能化系统有限公司 | Sewage treatment aeration control system |
| CN109879410A (en) * | 2019-03-27 | 2019-06-14 | 上海西派埃智能化系统有限公司 | Sewage treatment aeration control system |
| CN110182977A (en) * | 2019-06-26 | 2019-08-30 | 中国科学院电工研究所无锡分所 | A kind of Intelligent sewage processing aerator |
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| CN115259413A (en) * | 2022-07-25 | 2022-11-01 | 苏州水星环保工业系统有限公司 | Air volume control method for precise aeration system |
| CN115477390A (en) * | 2022-09-27 | 2022-12-16 | 中铁二局集团有限公司 | Technology for treating landfill leachate by combining biological treatment and membrane module |
| CN115477390B (en) * | 2022-09-27 | 2023-08-08 | 中铁二局集团有限公司 | Process for treating garbage leachate by combining biological treatment and membrane assembly |
| CN117348383A (en) * | 2023-12-04 | 2024-01-05 | 广州泛美实验室系统科技股份有限公司 | Fume hood variable air volume control method based on laboratory environment monitoring |
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| CN117923681A (en) * | 2024-03-14 | 2024-04-26 | 深圳市水务科技有限公司 | Intelligent algorithm cooperated dissolved oxygen and ammonia nitrogen feedback control accurate aeration system and method |
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