CN105159092B - For the fuzzy control method and system of deduster deashing - Google Patents
For the fuzzy control method and system of deduster deashing Download PDFInfo
- Publication number
- CN105159092B CN105159092B CN201510626667.7A CN201510626667A CN105159092B CN 105159092 B CN105159092 B CN 105159092B CN 201510626667 A CN201510626667 A CN 201510626667A CN 105159092 B CN105159092 B CN 105159092B
- Authority
- CN
- China
- Prior art keywords
- deduster
- fuzzy
- input
- control
- bin
- 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.)
- Active
Links
Landscapes
- Processes For Solid Components From Exhaust (AREA)
- Feedback Control In General (AREA)
Abstract
The present invention provides a kind of fuzzy control method and system for deduster deashing, which includes：The detection input quantity that receiving detection device is sent, and the change rate of the deviation between detection input quantity and set-point and deviation is calculated using the input variable as fuzzy control；Input variable is obscured to the Indistinct Input amount that turns to, fuzzy reasoning and decision are carried out based on Indistinct Input amount to obtain fuzzy output amount and by fuzzy output amount defuzzification output quantity in order to control；And control output quantity is exported to duster pulse valve control to control the switch of the pulse valve of deduster, wherein, it detects input quantity and includes deduster inlet outlet pressure differential and each bin inlet outlet pressure differential of deduster, control output quantity is deduster each bin deashing time.The above method and system realize the dust-removing control of each bin to deduster using fuzzy control strategy, can solve the problems, such as in each non-uniform deashing of bin sock filtration load.
Description
Technical field
The present invention relates to flue gas of refuse burning process fields, more particularly to a kind of fuzzy control side for deduster deashing
Method and system.
Background technology
The technique of the comparative maturity of garbage-incineration smoke purifying processing at present is semidry method+dry method+bag-type dust+activated carbon work
Skill, the key equipment of fume treatment include：Semidry method depickling reaction tower, deduster, SNCR, flying dust are collected.Wherein, deduster is used
In collect the fine solid particle in flue gas be collected simultaneously pulverized limestone and activated carbon by the harmful substance in flue gas continue to react into
One step is handled and is filtered to harmful poisonous gas.The running of deduster directly influences the dust concentration of flue gas emission, into
And influence environmental protection etc..Wherein, the deashing process of deduster is one of important running of deduster.In general, it is imported and exported by deduster
Difference signal judges that the load condition of each bin is extremely complex work with each bin differential pressure signal, is controlled using classics
Mode processed is because variable may be difficult to realize too much.
Invention content
On the one hand, the present invention provides a kind of fuzzy control method for deduster deashing, the fuzzy control method packet
It includes：The detection input quantity that receiving detection device is sent, and calculate the deviation between the detection input quantity and set-point and institute
The change rate of deviation is stated using the input variable as fuzzy control；The input variable is obscured to the Indistinct Input amount that turns to, is based on
The Indistinct Input amount carry out fuzzy reasoning and decision using obtain fuzzy output amount and by the fuzzy output amount defuzzification as
Control output quantity；And the control output quantity is exported to duster pulse valve control to control the pulse valve of deduster
Switch.Wherein, the detection input quantity includes deduster inlet outlet pressure differential and each bin inlet outlet pressure differential of deduster, the control
Output quantity processed is deduster each bin deashing time, wherein when the detection input quantity is each bin inlet and outlet pressure of deduster
When poor, only using the deviation of each bin inlet outlet pressure differential of deduster and its set-point as the input variable of fuzzy control.
In one embodiment of the invention, described obscure the input variable turns to Indistinct Input amount including by described in
Input variable mapping transformation is to discrete input domain.
In one embodiment of the invention, the quantization domain grade of the input variable is set as 5.
In one embodiment of the invention, the input variable is quantified according to the following formula：
Wherein, x represents the input variable, and Y represents the input variable after quantization, and a represents the lower limit of the input variable,
B represents the upper limit of the input variable, and n represents quantification gradation.
In one embodiment of the invention, the defuzzification carries out according to the following formula：
Wherein, x represents the fuzzy output amount, and Y represents the control output quantity, and a is represented under the fuzzy output amount
Limit, b represent the upper limit of the fuzzy output amount, and n represents quantification gradation.
In one embodiment of the invention, the corresponding input domain of the input variable is set as 6, the fuzzy output
It measures corresponding output domain and is set as 6.
In one embodiment of the invention, the Linguistic Value fuzzy subset of the Indistinct Input amount is [negative big (NB), bears small
(NS), zero (O), just small (PS), honest (PB)].
In one embodiment of the invention, the Linguistic Value fuzzy subset of the fuzzy output amount is [negative big (NB), in bearing
(NM), small (NS) is born, zero (O), just small (PS) is hit exactly (PM), honest (PB)].
In one embodiment of the invention, the membership function of the Linguistic Value fuzzy subset of the Indistinct Input amount and described
The membership function of the Linguistic Value fuzzy subset of fuzzy output amount is triangular function.
On the other hand, the present invention also provides a kind of Fuzzy control system for deduster deashing, the fuzzy control systems
System includes：Input module for the detection input quantity that receiving detection device is sent, and calculates the detection input quantity and set-point
Between deviation and the deviation change rate using the input variable as fuzzy control；Processing module, for will be described defeated
Enter variable to obscure the Indistinct Input amount that turns to, carry out fuzzy reasoning and decision based on the Indistinct Input amount to obtain fuzzy output
It measures and by fuzzy output amount defuzzification output quantity in order to control；And output module, for the control output quantity is defeated
Go out to duster pulse valve control to control the switch of the pulse valve of deduster.Wherein, the detection input quantity includes dedusting
Device inlet outlet pressure differential and each bin inlet outlet pressure differential of deduster, when the control output quantity is deduster each bin deashing
Between, wherein when detection input quantity bin inlet outlet pressure differential each for deduster, only each bin of deduster is imported and exported
Input variable of the deviation of pressure difference and its set-point as fuzzy control.
Above-mentioned fuzzy control method and system for deduster deashing is realized each to deduster using fuzzy control strategy
The dust-removing control of a bin, overcomes each bin load uneven and disturbance of the various system noises to system, realizes large-scale pocket type
The automatic spraying of deduster extends the service life of filter bag.
Description of the drawings
The drawings below of the present invention is used to understand the present invention in this as the part of the present invention.Shown in the drawings of this hair
Bright embodiment and its description, principle used to explain the present invention.
In attached drawing：
Fig. 1 shows the flow chart of fuzzy control method according to an embodiment of the invention, for deduster deashing；
Fig. 2 shows it is according to an embodiment of the invention, for deduster deashing fuzzy control method be applied to example
Signal data flow graph during property scene；And
Fig. 3 shows the structure diagram of Fuzzy control system according to an embodiment of the invention, for deduster deashing.
Specific embodiment
In the following description, a large amount of concrete details are given in order to provide more thorough understanding of the invention.So
And it is obvious to the skilled person that the present invention may not need one or more of these details and be able to
Implement.In other examples, in order to avoid with the present invention obscure, for some technical characteristics well known in the art not into
Row description.
In order to thoroughly understand the present invention, detailed method and step and/or structure will be proposed in following description.Obviously,
The execution of the present invention is not limited to specific details appreciated by those skilled in the art.Presently preferred embodiments of the present invention is detailed
It is described as follows, however other than these detailed descriptions, the present invention can also have other embodiment.
It should be understood that it when the term " comprising " and/or " including " is used in this specification, indicates described in presence
Feature, entirety, step, operation, element and/or component, but do not preclude the presence or addition of other one or more features, entirety,
Step, operation, element, component and/or combination thereof.
According to an aspect of the present invention, a kind of fuzzy control method for deduster deashing is provided.Fig. 1 shows root
According to the flow chart of the fuzzy control method 100 for deduster deashing of the embodiment of the present invention.As shown in Figure 1, method 100 is wrapped
Include following steps：
Step 101：The detection input quantity that receiving detection device is sent, and calculate inclined between detection input quantity and set-point
The change rate of difference and the deviation is using the input variable as fuzzy control.
Wherein it is possible to the input parameter detected needed for being set based on the demand for control of the design parameter to deduster deashing
And corresponding detection device.For example, in the example of the present invention, need to control deduster inlet outlet pressure differential, then can
Deduster inlet outlet pressure differential is detected to set corresponding sensor.In another example, each bin to deduster is needed
Inlet outlet pressure differential controls, then can set corresponding sensor to detect the inlet outlet pressure differential of each bin of deduster.
Calculating deviation (or be error) of the detection input quantity (such as deduster inlet outlet pressure differential) between set-point
It, can be by detected deduster inlet outlet pressure differential during the E20 and change rate of the deviation (or being error transform rate) DE
Actual value (also referred to as process values) corresponding set-point compare to obtain deviation signal, and differential is carried out to deviation signal
To obtain the change rate of deviation.Fuzzy control can be using both deviation and deviation variation rate as input variable.It is defeated when detecting
When entering the inlet outlet pressure differential that amount is each bin (such as bin 1-8) of deduster, only each bin of deduster can be imported and exported
Input variable of the deviation of pressure difference and its set-point (such as E11, E12 ... E18) as fuzzy control.
Step 102：Input variable is obscured to the Indistinct Input amount that turns to, fuzzy reasoning and decision are carried out based on Indistinct Input amount
To obtain fuzzy output amount and by fuzzy output amount defuzzification output quantity in order to control.
It specifically, can be by input variable mapping transformation to discrete input domain, to obtain Indistinct Input amount.Continue
Above example, if differential pressure tolerance range is [- 500,500], differential pressure tolerance change rate range [- 50,50].Illustratively, it presses
Poor deviation quantization domain grade is 5, and differential pressure tolerance change rate quantization domain grade is 5, and output domain quantization domain grade is 6.
In one embodiment of the invention, input variable can be quantified according to formula (1)：
Wherein, in formula (1), x represents input variable, and Y represents the input variable after quantization, and a is represented under input variable
Limit, b represent the upper limit of input variable, and n represents quantification gradation.
Since deduster pressure difference control system is not high for required precision, as long as ensureing deduster pressure difference in a certain range
It is interior, it is acceptable for operations staff.In one example, 6 are set as input variable domain, variable language
The fuzzy subset of value can be [NB, NS, O, PS, PB].In one example, for output variable, system is shaken in order to prevent,
Output variable domain is set as 6, the fuzzy subset of variable Linguistic Value can be [NB, NM,
NS, O, PS, PM, PB].For input the membership function of output variable relatively simple triangle letter can be used
Number.Wherein NB represents negative big, and during NM represents negative, NS represents negative small, and O represents that zero, PS represents just small, and PM represents center, and PB is represented
It is honest.
According to one embodiment of present invention, the design in Fuzzy strategy library can be as follows：
If E20=PB and DE=PB export=NB；
If E20=PB and DE=PS export=NB；
If E20=PB and DE=O export=NM；
If E20=PB and DE=NS export=NM；
If E20=PB and DE=NB export=NS；
……
Each bin of deduster such as 1 deashing rule base of bin is described in detail below：
If E11=PB ,=NB is exported；
If E11=PS ,=NB is exported；
If E11=O ,=O is exported；
If E11=NS ,=PS is exported；
If E11=NM ,=PB is exported.
Control strategy library can be established based on the practical experience of operations staff.Preferably, fuzzy rule base has online
Change function.Different garbage burning factory actual conditions are different, and by running for a long time, operation operation can all have new
Experience, the online modification function of fuzzy rule base can enable maintenance personnel that these new experiences very easily are added to rule
Then in library.Furthermore, it is possible to man-machine interface is developed for rule base, so as to which debugging, maintenance personnel be facilitated to repair rule base
Change.
According to the membership function of fuzzy language value and Fuzzy strategy library, fuzzy relation can be obtained；Based on Indistinct Input
Amount and fuzzy relation, can obtain fuzzy output amount；Fuzzy output amount can obtain final control output by defuzzification
Amount.
In one embodiment of the invention, the defuzzification of fuzzy output amount can be carried out according to formula (2)：
Wherein, in formula (2), x represents fuzzy output amount, and Y represents control output quantity, and a represents the lower limit of fuzzy output amount,
B represents the upper limit of fuzzy output amount, and n represents quantification gradation.
Step 103：Control output quantity is exported to duster pulse valve control to control opening for the pulse valve of deduster
It closes.The example continued the above, detection input quantity include deduster inlet outlet pressure differential and each bin inlet outlet pressure differential of deduster, control
Output quantity processed is deduster each bin deashing time.The each bin deashing time data of the deduster can be sent to dedusting
Device pulse valve control is to control the switch of the pulse valve of deduster, so as to adjust deduster inlet outlet pressure differential and dedusting in turn
The each bin inlet outlet pressure differential of device.Fig. 2 shows the fuzzy control methods for deduster deashing according to embodiments of the present invention
Signal data flow graph during applied to above-mentioned example can understand the principle of the above method and process with reference to Fig. 2.Wherein, exist
In Fig. 2, deduster is shown as to include 8 bins (1-8 bins), and pulse valve to be controlled includes 14.
According to a further aspect of the invention, a kind of Fuzzy control system for deduster deashing is also provided.Fig. 3 shows root
The structure diagram of Fuzzy control system 300 according to the embodiment of the present invention, for deduster deashing.As shown in figure 3, Fuzzy Control
System 300 processed includes input module 301, processing module 302 and output module 303.
Wherein, input module 301 be used for receiving detection device send detection input quantity, and calculate detection input quantity with to
The change rate of deviation and deviation between definite value is using the input variable as fuzzy control.Processing module 302 is used to input
Variable is obscured the Indistinct Input amount that turns to, fuzzy reasoning and decision is carried out based on Indistinct Input amount to obtain fuzzy output amount and incite somebody to action
Fuzzy output amount defuzzification output quantity in order to control.Output module 303 is used to output quantity will be controlled to export to pulse valve for duster
Controller is to control the switch of the pulse valve of deduster.Wherein, detection input quantity includes deduster inlet outlet pressure differential and deduster
Each bin inlet outlet pressure differential, control output quantity are deduster each bin deashing time, wherein when detection input quantity is dedusting
During each bin inlet outlet pressure differential of device, only using the deviation of each bin inlet outlet pressure differential of deduster and its set-point as Fuzzy Control
The input variable of system.The detailed process for each module operation of embodiment understanding for combining Fig. 1 descriptions can be referred to, it is no longer superfluous herein
It states.
The modules of the embodiment of the present invention can be with hardware realization or to be run on one or more processor
Software module realize or realized with combination thereof.It will be understood by those of skill in the art that it can use in practice
Microprocessor or digital signal processor (DSP) realize the Fuzzy Control for deduster deashing according to embodiments of the present invention
The some or all functions of some or all components in system processed.The present invention is also implemented as performing institute here
The some or all equipment or program of device of the method for description are (for example, computer program and computer program production
Product).Such program for realizing the present invention can may be stored on the computer-readable medium or can have one or more
The form of signal.Such signal can be downloaded from internet website to be obtained either providing or to appoint on memory carrier
What other forms provides.
Above-mentioned fuzzy control method and system for deduster deashing is realized each to deduster using fuzzy control strategy
The dust-removing control of a bin, overcomes each bin load uneven and disturbance of the various system noises to system, realizes large-scale pocket type
The automatic spraying of deduster extends the service life of filter bag.
The present invention is illustrated by above-described embodiment, but it is to be understood that, above-described embodiment is only intended to
Citing and the purpose of explanation, and be not intended to limit the invention in the range of described embodiment.In addition people in the art
It is understood that the invention is not limited in above-described embodiment, introduction according to the present invention can also be made more kinds of member
Variants and modifications, these variants and modifications are all fallen within scope of the present invention.Protection scope of the present invention by
The appended claims and its equivalent scope are defined.
Claims (10)
1. a kind of fuzzy control method for deduster deashing, which is characterized in that the fuzzy control method includes：
The detection input quantity that receiving detection device is sent, and calculate the deviation between the detection input quantity and set-point and institute
The change rate of deviation is stated using the input variable as fuzzy control；
The input variable is obscured to the Indistinct Input amount that turns to, fuzzy reasoning and decision are carried out based on the Indistinct Input amount to obtain
To fuzzy output amount and by fuzzy output amount defuzzification output quantity in order to control；And
The control output quantity is exported to duster pulse valve control to control the switch of the pulse valve of deduster,
Wherein, the detection input quantity includes deduster inlet outlet pressure differential and each bin inlet outlet pressure differential of deduster, the control
Output quantity processed is deduster each bin deashing time, and each bin deashing time is sent to pulse valve for duster control
Device is passed in and out with controlling the switch of the pulse valve of deduster with adjusting deduster inlet outlet pressure differential and each bin of deduster in turn
Mouthful pressure difference, wherein when detection input quantity bin inlet outlet pressure differential each for deduster, only by each bin of deduster into
Export input variable of the deviation of pressure difference and its set-point as fuzzy control.
2. fuzzy control method according to claim 1, which is characterized in that described obscure the input variable turns to mould
Input quantity is pasted to include the input variable mapping transformation to discrete input domain.
3. fuzzy control method according to claim 2, which is characterized in that the quantization domain grade of the input variable is set
It is set to 5.
4. fuzzy control method according to claim 3, which is characterized in that the input variable amount of progress according to the following formula
Change：
Wherein, x represents the input variable, and Y represents the input variable after quantization, and a represents the lower limit of the input variable, b tables
Show the upper limit of the input variable, n represents quantification gradation.
5. fuzzy control method according to claim 1, which is characterized in that the defuzzification carries out according to the following formula：
Wherein, x represents the fuzzy output amount, and Y represents the control output quantity, and a represents the lower limit of the fuzzy output amount, b
Represent the upper limit of the fuzzy output amount, n represents quantification gradation.
6. fuzzy control method according to claim 1, which is characterized in that the corresponding domain that inputs of the input variable is set
6 are set to, the corresponding domain that exports of the fuzzy output amount is set as 6.
7. fuzzy control method according to claim 1, which is characterized in that the Linguistic Value of the Indistinct Input amount obscures son
Collect for [negative big (NB), bear small (NS), zero (O), just small (PS), honest (PB)].
8. fuzzy control method according to claim 1, which is characterized in that the Linguistic Value of the fuzzy output amount obscures son
Collect for [negative big (NB) in bearing (NM), bears small (NS), zero (O), just small (PS), hit exactly (PM), honest (PB)].
9. fuzzy control method according to claim 1, which is characterized in that the Linguistic Value of the Indistinct Input amount obscures son
The membership function of the Linguistic Value fuzzy subset of the membership function of collection and the fuzzy output amount is triangular function.
10. a kind of Fuzzy control system for deduster deashing, which is characterized in that the Fuzzy control system includes：
Input module, for the detection input quantity that receiving detection device is sent, and calculate detection input quantity and the set-point it
Between deviation and the deviation change rate using the input variable as fuzzy control；
Processing module, for the input variable to be obscured to the Indistinct Input amount that turns to, is obscured based on the Indistinct Input amount
Reasoning and decision are to obtain fuzzy output amount and by fuzzy output amount defuzzification output quantity in order to control；And
Output module, for exporting to duster pulse valve control to control the pulse valve of deduster the control output quantity
Switch,
Wherein, the detection input quantity includes deduster inlet outlet pressure differential and each bin inlet outlet pressure differential of deduster, the control
Output quantity processed is deduster each bin deashing time, and each bin deashing time is sent to pulse valve for duster control
Device is passed in and out with controlling the switch of the pulse valve of deduster with adjusting deduster inlet outlet pressure differential and each bin of deduster in turn
Mouthful pressure difference, wherein when detection input quantity bin inlet outlet pressure differential each for deduster, only by each bin of deduster into
Export input variable of the deviation of pressure difference and its set-point as fuzzy control.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510626667.7A CN105159092B (en) | 2015-09-28 | 2015-09-28 | For the fuzzy control method and system of deduster deashing |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510626667.7A CN105159092B (en) | 2015-09-28 | 2015-09-28 | For the fuzzy control method and system of deduster deashing |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN105159092A CN105159092A (en) | 2015-12-16 |
| CN105159092B true CN105159092B (en) | 2018-06-08 |
Family
ID=54799980
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201510626667.7A Active CN105159092B (en) | 2015-09-28 | 2015-09-28 | For the fuzzy control method and system of deduster deashing |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN105159092B (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108873689A (en) * | 2018-08-22 | 2018-11-23 | 任丘市华北油田诚信工业有限公司 | A kind of paraffin removal from oil well method based on fuzzy control |
Families Citing this family (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105827195B (en) * | 2016-03-18 | 2017-11-21 | 许继集团有限公司 | A kind of photovoltaic module cleaning method |
| CN106016295A (en) * | 2016-06-21 | 2016-10-12 | 光大环保技术研究院（深圳）有限公司 | Automatic combustion fuzzy control method and system for incinerator |
| CN107670378B (en) * | 2016-12-12 | 2019-10-11 | 冀小锋 | A kind of filter box system that can judge transmission device validity |
| CN107670377B (en) * | 2016-12-12 | 2019-10-18 | 宝应县有机食品质量监督检验中心 | A kind of filter box system that can judge filter plate validity |
| CN107670384B (en) * | 2016-12-12 | 2019-11-22 | 连江县维佳工业设计有限公司 | A kind of chemical industry pulp separation system of material position judgement |
| CN107272414A (en) * | 2017-07-19 | 2017-10-20 | 光大环保技术研究院（南京）有限公司 | A kind of fuzzy control method, controller and the control system of ammoniacal liquor straying quatity |
| CN109426148B (en) * | 2017-08-25 | 2021-10-19 | 中核兰州铀浓缩有限公司 | Method for realizing automatic adjustment of cycle period time in ash removal process of coal-fired boiler |
| CN107367945A (en) * | 2017-09-06 | 2017-11-21 | 光大环保技术研究院（南京）有限公司 | A kind of fuzzy control method, controller and control system for adjusting delivery rate |
| CN114534383B (en) * | 2022-03-25 | 2023-07-21 | 无锡红旗除尘设备有限公司 | Pulse blowing control method |
| CN117582748B (en) * | 2024-01-18 | 2024-05-14 | 江苏宇梦环保科技有限公司 | Automatic ash removal control method for bag type dust collector |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101876321A (en) * | 2010-06-25 | 2010-11-03 | 中冶北方工程技术有限公司 | Method and device for controlling blower throttle based on fuzzy control |
| CN103028480A (en) * | 2012-12-10 | 2013-04-10 | 上海凯盛节能工程技术有限公司 | Intelligent control system for vertical mill based on fuzzy PID (proportion integration differentiation) algorithm |
| CN103322644A (en) * | 2013-06-07 | 2013-09-25 | 浙江吉利汽车研究院有限公司杭州分公司 | Air purification control device and method |
| CN103521008A (en) * | 2013-11-06 | 2014-01-22 | 山东开泰工业科技有限公司 | Optimization energy-saving dedusting control method and system of cloth bag pulse dust collector |
| CN103691559A (en) * | 2013-12-06 | 2014-04-02 | 江苏科技大学 | Fuzzy control method for high-frequency high-voltage power supply for electrostatic dust collection |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CA2839026C (en) * | 2011-07-14 | 2016-10-04 | Saudi Arabian Oil Company | Detection and classification of process flaws using fuzzy logic |
-
2015
- 2015-09-28 CN CN201510626667.7A patent/CN105159092B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101876321A (en) * | 2010-06-25 | 2010-11-03 | 中冶北方工程技术有限公司 | Method and device for controlling blower throttle based on fuzzy control |
| CN103028480A (en) * | 2012-12-10 | 2013-04-10 | 上海凯盛节能工程技术有限公司 | Intelligent control system for vertical mill based on fuzzy PID (proportion integration differentiation) algorithm |
| CN103322644A (en) * | 2013-06-07 | 2013-09-25 | 浙江吉利汽车研究院有限公司杭州分公司 | Air purification control device and method |
| CN103521008A (en) * | 2013-11-06 | 2014-01-22 | 山东开泰工业科技有限公司 | Optimization energy-saving dedusting control method and system of cloth bag pulse dust collector |
| CN103691559A (en) * | 2013-12-06 | 2014-04-02 | 江苏科技大学 | Fuzzy control method for high-frequency high-voltage power supply for electrostatic dust collection |
Non-Patent Citations (1)
| Title |
|---|
| 模糊控制在袋式除尘系统自动控制中的应用研究;冯斌;《中国优秀硕士学位论文全文数据库》;20020615(第1期);正文第13-15页，正文第27-28页，第33页 * |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108873689A (en) * | 2018-08-22 | 2018-11-23 | 任丘市华北油田诚信工业有限公司 | A kind of paraffin removal from oil well method based on fuzzy control |
Also Published As
| Publication number | Publication date |
|---|---|
| CN105159092A (en) | 2015-12-16 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN105159092B (en) | For the fuzzy control method and system of deduster deashing | |
| CN105278567B (en) | Garbage-incineration smoke purifying control method and system based on fuzzy control | |
| CN100484638C (en) | Static dust collection system | |
| JP6124097B1 (en) | Exhaust gas treatment apparatus and exhaust gas treatment method | |
| CN106054608A (en) | Fuzzy control method and system for waste incineration flue gas denitration SNCR (Selective Non Catalytic Reduction) | |
| CN105731574B (en) | A kind of wet flue gas desulfurization waste water evaporation process control method | |
| CN101660863B (en) | Self-adjustment garbage drier | |
| CN111077869A (en) | Optimization control method and system for big data intelligent control bag-type dust collector | |
| CN104722203A (en) | SCR denitration control system and SCR denitration control method of heating furnace flue gas | |
| CN104715142B (en) | A kind of station boiler NOxDischarge dynamic soft-measuring method | |
| CN105137762A (en) | Fuzzy control method and system for automatic combustion of incinerator | |
| CN113188242A (en) | Group type air purification method and device, air purification robot and computer readable storage medium | |
| CN204557175U (en) | The intelligent coordinated control system of garbage-incineration smoke purifying multi-pollutant | |
| CN110895867A (en) | Tailing conveying pipeline dynamic alarm method based on pressure signals | |
| CN108037748B (en) | The thermal power unit operation optimization method of full working scope, device, equipment | |
| CN118039021B (en) | Sewage pollutant detection and alarm method and system | |
| CN104122906B (en) | The control method of the lime white straying quatity in fume treatment reaction tower | |
| CN107350080A (en) | A kind of high-voltage electrostatic precipitator control system based on PLC | |
| CN107168236A (en) | A kind of fuzzy control method, controller and the control system of lime white straying quatity | |
| CN109426148A (en) | A method of realizing the automatic adjustment of coal-burning boiler ash disposal process circulation time | |
| CN108786428A (en) | A kind of SNCR denitration optimal control system and control method | |
| CN108872487B (en) | Multi-pollutant online automatic monitoring device for atmosphere pollution source | |
| CN106154996A (en) | Environment pollution treatment facility operation gathers and analyzes system and method | |
| CN111855524A (en) | Method for monitoring operation condition of oil fume purification equipment | |
| CN104525377B (en) | A kind of online fault detect of electric cleaner, correction system |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| TA01 | Transfer of patent application right | ||
| TA01 | Transfer of patent application right |
Effective date of registration: 20180418 Address after: Futian District Shenzhen City, Guangdong province 518033 Shennan Road No. 1003 Oriental Xintiandi Plaza A block 2501 Applicant after: Everbright Environmental Technology Research Institute (Shenzhen) Co., Ltd. Applicant after: Everbright Environmental Technology (China) Co., Ltd. Address before: Futian District Shenzhen City, Guangdong province 518033 Shennan Road No. 1003 Oriental Xintiandi Plaza A block 2501 Applicant before: Everbright Environmental Technology Research Institute (Shenzhen) Co., Ltd. |
|
| GR01 | Patent grant | ||
| GR01 | Patent grant |