CN104122878B - The control method of industrial energy saving emission reduction control device - Google Patents
The control method of industrial energy saving emission reduction control device Download PDFInfo
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- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P80/00—Climate change mitigation technologies for sector-wide applications
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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
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- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/02—Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]
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Abstract
The present invention relates to a kind of control method of industrial energy saving emission reduction control device.Energy scarcity turns into global problems faced with environmental degradation, food industry process is usually constructed with the problems such as a variety of constraintss, multivariable, close coupling, non-linear, large dead time, uncertainty, more control targes, and the realization to Advanced Control Techniques brings very big difficulty.Present invention composition includes：Framework（1）, described framework（1）Inside is provided with sensor（2）, described sensor（2）With logic control device（3）Connection, described logic control device（3）Inside includes controller（4）, logical-arithmetic unit（5）, described controller（4）With logical-arithmetic unit（5）Connection, described logic control device（3）Respectively with Ethernet control circuit（6）, man-machine interface（8）, executing agency（9）Connection, described Ethernet control circuit（6）With industrial computer（7）Connection.The present invention is used for industrial energy saving emission reduction and controlled.
Description
Technical field：
The present invention relates to a kind of industrial energy saving emission reduction control device and control method.
Background technology：
Energy scarcity and environmental degradation have become the greatest problem that the whole world faces, and food industry process be usually constructed with it is more
The problems such as kind constraints, multivariable, close coupling, non-linear, large dead time, uncertainty, more control targes, give Dynamic matrix control skill
The realization of art brings very big difficulty.The problem of China's industrial production still generally existing high energy consumption, height consume, high pollution, steel, has
The highly energy-consuming trade such as color, electric power, chemical industry energy consumption of unit product is higher than advanced international standard by more than 40%.Industrial production enterprise is necessary
While using automatic technology science to ensure the quality of product, cost and predominance, energy conservation is actively developed
Using.And traditional automation less focuses on energy-conservation and environmental issue, with society and expanding economy, green power plant, green
Building and green chemical industry etc. are suggested with energy-conserving and environment-protective related notion, are saved the energy, are reduced raw materials consumption and green ring
The new constraints such as guarantor propose higher requirement to automatic technology.And current energy-conservation has not been the saving of simple meaning and lacked
With the energy, but to lean on using advanced science and technology, advanced management theory etc. to improve the utilization ratio of the energy.Particularly with
In terms of new and high technology is rebuild traditional industry, automation science plays very important work in the operation and development of industrial enterprise
With.In modern production firm, energy-saving and emission-reduction of the Dynamic matrix control for enterprise, Effec-tive Function play a very important role, and have
There is the advantages of many notable.
Industrial energy saving emission reduction Dynamic matrix control device innovation and creation are produced under the overall background of energy-saving and emission-reduction Green Sustainable
Raw.As industrial production increasingly develops towards integrated, maximization direction, the complexity of modern industry procedures system constantly increases
Add, save, lower consumption, the safe and environment-friendly primary goal for turning into automation, and food industry process is usually constructed with a variety of constraint bars
The problems such as part, multivariable, close coupling, non-linear, large dead time, uncertainty, more control targes, the realization to Advanced Control Techniques
Very big difficulty is brought, control targe is primarily due to and carries a variety of constraintss, object is studied inadequate, control program and not enough closed in addition
Caused by the factors such as reason.And these loops exactly influence production efficiency, the key point of energy consumption is reduced.
Can be realized using this industrial energy saving emission reduction Dynamic matrix control device reduces unit value added energy consumption, improves the energy and uses effect
Rate, especially industrial process have the features such as strong coupling, uncertain, non-linear, INFORMATION OF INCOMPLETE and purely retarded, and
In the presence of the constraints of harshness, control targe diversification, variables number increases and in the large-scale control system of correlation enhancing.Pass
The control device and strategy of system can not fully meet requirement, it is necessary to using Dynamic matrix control means, the advanced control of industrial energy saving emission reduction
Device processed is by with boundless application prospect.Considerable economic effect is brought for the Green Sustainable of modern industry
Benefit, social benefit and ecological benefits, have important and far-reaching realistic meaning.
Dynamic matrix control is with process control computer system（DCS、PLC、FCS）And its host computer is implementing platform, with normal
Based on rule control, using whole process units or essential elements as control object, realize large-scale, complicated, multivariable and constrained
A kind of Optimal Control Strategy of the high performance control of journey, such as Model Predictive Control, intelligent control, fuzzy control.Purpose is solution
The process control problem that certainly conventional control can not tackle, it is overall to lift Control platform；The stationarity of main technologic parameters is improved, is changed
Kind product quality, reduces manipulation strength；Binding operation optimizes, and the safe, high-quality of realization device, high yield, low consumption, saves and subtracts
Row.Advanced control system can adapt to the big universal treating capacity of modern industrial production device, equipment enlarging, heating cooling procedure
It is more, with energy it is big, account for the characteristics of ratio of processing cost is high；The production of modern process industry is continuous, multiple operation, it is multi-level plus
Work process, have the characteristics that upstream and downstream contact is close, degree of being thermally integrated is high；From the angle of process control, the multivariable of process industry,
Close coupling, non-linear, large dead time, multiple constraint, the feature of multiple target are strengthened increasingly, and process uncertain factor and interference source etc.
Also it is increasing, it has also become modern flow industry enterprise realizes the main bugbear of high-quality control and process optimization.
The content of the invention：
It is an object of the invention to provide a kind of industrial energy saving emission reduction control device and control method.
Above-mentioned purpose is realized by following technical scheme：
A kind of industrial energy saving emission reduction control device, its composition include：Framework, described lower portion are provided with sensor,
Described sensor is connected with logic control device, and controller, logical-arithmetic unit, institute are included inside described logic control device
The controller stated is connected with logical-arithmetic unit, described logic control device respectively with executing agency, Ethernet control circuit, people
Machine interface is connected, and described Ethernet control circuit is connected with industrial computer.
Described logical-arithmetic unit is electric with hard measurement circuit, neural control circuit, fuzzy control circuit, matrix majorization respectively
Road, PID control circuits, the connection of PREDICTIVE CONTROL circuit.
One kind utilizes above-mentioned industrial energy saving emission reduction control device and control method,
The first step：The advanced control system engineering construction scheme and step of standardization are initially set up, establishes Dynamic matrix control system
System platform, advanced design control device.
Second step：Limit product lifting and the energy, material consumption height, pollutant row are found from complicated practical engineering application
High root is put, existing Advanced Control Techniques is improved and proposes solution, and advanced control algorithm is integrated in control device.
3rd step：To data analysis, the integrated application of process mechanism, progressively strengthen real-time data analysis and be based on strict machine
The model of reason is combined, and forms complete Dynamic matrix control device.
Beneficial effect：
The present invention be directed to modern industrial production process complexity is high, variable is more, control algolithm is complicated, large time delay, changeable
The features such as amount coupling cause what the problem that energy resource consumption is big, utilization rate is not high and pollutant discharge amount is big proposed, are primarily suitable for
The highly energy-consumings such as metallurgy, food, chemical industry, the energy-saving and emission-reduction in high pollution field production control.
The technical solution adopted for the present invention to solve the technical problems is：Device is using Advanced Control Techniques to rely on, with can
Programmed logic controller is control core, is equipped with all kinds of fuzzy control circuits, neural control circuit, PID control circuits, matrix
The Dynamic matrix controls such as control circuit, Multimode Control, optimal control motor, electric furnace etc. are the production technology of executing agency；Device with
EPA is communication network, is connected with upper industrial computer and transmits industrial process data and control information；Display industry
The state of the art of production process and the time of day of energy resource consumption.
The present invention can pass through elder generation under conditions of the equipment of original technical process, control system hardware, software is not changed
Enter the optimal control production process such as optimization, self-regulation of control algolithm, reach and improve energy use efficiency reduction pollutant emission
So as to improve the purpose of productivity effect.
Present invention the characteristics of being directed to process industry technical process, as goal in research by taking food industry process as an example,
By furtheing investigate process mechanism, analyzing in detail its operator scheme of food industry, and data of literatures is combined, based on changeable
Measure the Advanced Control Techniques such as PREDICTIVE CONTROL, Multimode Control and hard measurement, whole process simulation and optimisation technique, exploitation is versatile,
The good food industry advanced control system of perfect in shape and function, stability, will solve more in the application of food processing advanced control system
Item problem.
The present invention proposes accumulation prediction error method, Multimode Control and umlti-variable finite elements combination algorithm, and by this two
Kind algorithm is applied in food processing and production；
The present invention proposes the steady control of special area umlti-variable finite elements circuit realiration food processing technology process.
The present invention proposes the correcting algorithm in hard measurement alignment technique, and is applied in continuous food processing soft survey online
In amount.
Brief description of the drawings：
Accompanying drawing 1 is the structural representation of the present invention.
Accompanying drawing 2 is operating system circuit diagram of the present invention.
Accompanying drawing 3 is fuzzy control circuit figure of the present invention.
Accompanying drawing 4 is matrix control circuit figure of the present invention.
Accompanying drawing 5 is the neural electric operation control circuit figure of the present invention.
Accompanying drawing 6 is PREDICTIVE CONTROL circuit diagram of the present invention.
Accompanying drawing 7 is PID electric operation control circuit figures of the present invention.
Accompanying drawing 8 is hard measurement electric operation control circuit figure of the present invention.
Accompanying drawing 9 is the Part I circuit diagram of controller of the present invention.
Accompanying drawing 10 is the Part II circuit diagram of controller of the present invention.
Accompanying drawing 11 is PID algorithm flow charts of the present invention.
Accompanying drawing 12 is FUZZY ALGORITHMS FOR CONTROL flow chart of the present invention.
Accompanying drawing 13 is neural algorithm flow chart of the present invention.
Accompanying drawing 14 is predictive control algorithm flow chart of the present invention.
In figure：Same-sign circuit, which guides, has annexation.
Embodiment：
Embodiment 1：
A kind of industrial energy saving emission reduction control device, its composition include：Framework 1, sensor is installed inside described framework 1
2, described sensor 2 is responsible for collection information, and passes to logic control device 3, and the described inside of logic control device 3 includes
Controller 4, logical-arithmetic unit 5, the described internal logic arithmetic unit of logic control device 3 carries out computing and algorithm calculates, described
Controller 4 pass information to configuration software and handled, while receive the control that described configuration software is assigned
System instruction, and control executing agency 9 to control production process.Described logic control device 3 is logical with Ethernet control circuit 6
Communication network, it is connected with upper industrial computer 7 and transmits industrial process data and control information, host computer installation man-machine interface 8
The state of the art of industrial processes and the time of day of energy resource consumption are shown, meanwhile, described man-machine interface undertakes algorithm pipe
The functions such as reason, the foundation of model, electronic filing, history and real-time data base.As shown in accompanying drawing 1,2,9,10.
Embodiment 2：
Industrial energy saving emission reduction control device according to embodiment 1, described logical-arithmetic unit are electric with hard measurement respectively
Road, neural control circuit, fuzzy control circuit, matrix control circuit, PID control circuits, the connection of PREDICTIVE CONTROL circuit.It is such as attached
Shown in Fig. 3,4,5,6,7,8.
Embodiment 3：
Industrial energy saving emission reduction control device according to embodiment 1 or 2, hard measurement circuit are exactly to utilize easily survey process
Variable (often claim auxiliary variable or secondary variable SecondaryVariable, for example, easily measured in industrial process pressure, stream
The procedure parameters such as amount, temperature), according to these variables and it is difficult to process variable to be measured measured directly (frequently referred to leading variable
PrimaryVriable, such as reaction rate, production concentration and product quality etc.) between mathematical relationship (hard measurement mould
Type), by various mathematical computations and method of estimation, final " hard measurement " realized to variable to be measured.With soft-measuring technique
Development, it has been suggested that the methods of many construction hard measurements, and the factor that influences hard measurement performance of analyzing extensively and profoundly and
The problems such as on-line correction technology of hard measurement, soft-measuring technique have obtained successfully should on many actual industrial production devices
With, and its application is also constantly being expanded.The soft-measuring technique of early stage is mainly used in controlled variable or disturbance is immesurable
Occasion, the purpose is to realize the Dynamic matrix control of industrial process, and now this technology oneself need to realize and difficult survey parameter through penetrating into
The every field of on-line measurement, such as decision-making, planning, scheduling etc..Newest progress shows, soft-measuring technique into
For process control and a big study hotspot of process detection field and main developing direction.
Advanced Control Techniques are made to reach the purpose of energy efficiency, it is necessary to complex system modeling and control, non-linear control
Systems Theory processed, discrete event dynamic system, Hybrid System Theory, the theory of large scale system, stochastic system filtering and control, distribution are joined
The various control theories such as number system control, Self Adaptive Control, robust control, intelligent control, optimum control, System Discrimination and modeling
Studied with control technology.Device is directed to multivariable possessed by industrial Complicated Flow type technical process, close coupling, strong non-thread
Property, uncertainty, the production boundary condition change general complexity such as greatly, by control theory and method and intelligent method（It is fuzzy to push away
Reason, neutral net, knowledge excavation, expert system etc.）It is combined, using grinding for traditional conventional control and Dynamic matrix control comparative analysis
Study carefully method, make model prediction technology, Expert Control Technology, fuzzy control technology, soft-measuring technique and based on comprehensive production index
Optimized-control Technique Demonstration Application is obtained in Continuous Industry, and reach energy-conservation, consumption reduction, emission reduction, synergy application effect
Fruit.
Embodiment 4：
Industrial energy saving emission reduction control device according to embodiment 1 or 2 or 3, fuzzy control circuit are a kind of applications
The digital control form of microcomputer simulation human brain fuzzy logic inference, it belongs to nonlinear Control, intelligent control category.It has been at present
Accurate most important, the most widely used intelligence effectively controlled is carried out as to the complex nonlinear object for lacking mathematical models
Can control form.Fuzzy control is the basic thought and theoretical control method using fuzzy mathematics, in traditional control field
In, the whether accurate of control system dynamic mode is to influence the good and bad main key of control, and the dynamic information of system is more detailed,
It then can more reach the purpose accurately controlled.However, for the system of complexity, because variable is too many, it tends to be difficult to correctly description
The dynamic of system, then engineer just using various methods come simplify system dynamic, to reach the purpose of control, but manage not to the utmost
Think.That is, traditional control theory has powerful control ability for clear and definite system, but for excessively complicated or difficult
With the system accurately described, then seem helpless, therefore just attempt to handle these control problems with fuzzy mathematics, such as
Shown in accompanying drawing 12.
Embodiment 5：
According to the feedback compensation function of 1 or 2 or 3 or 4 model error of embodiment.Model Predictive Control has control
Effect processed is good, can be efficiently against uncertain, the non-linear and relevance of process the advantages that strong robustness, and can easily
The controlled industrial energy saving emission reduction control device of processing procedure, PREDICTIVE CONTROL circuit is a kind of closed optimized control plan based on model
Slightly, its algorithm core is:Dynamic model with predictive processes future behaviour, optimization calculates and rolls implementation repeatedly online
Control action and variable and performance variable in various constraints.At present, PREDICTIVE CONTROL has turned into industrial control field application most
A kind of wide Advanced Control Strategies.In general, linear Model Predictive Control can be divided into three major types：The first kind, based on non-
The predictive control algorithm of parameter model.Representational algorithm has Model Algorithmic contral (MAC) and dynamic matrix control (DMC).This
Finite impulse response model and limited step response model is respectively adopted as course prediction model in class algorithm, without considering model
Structure and order, process time lag can be included in model naturally, be especially suitable for representing the irregular characteristics of objects of dynamic response, fit
Close the control of processing open loop stabilization multivariable process restricted problem.Second class, joined based on input and output such as ARMA or CARIMA
The predictive control algorithm of numberization model.This kind of algorithm is developed by classical Self Adaptive Control, has merged Self-correc ting control and pre-
The advantages of observing and controlling, its feedback compensation reality in a manner of self-correcting the on-line identification of model and the on-line amending of control law
It is existing, wherein most representational is generalized predictive control (GPC) algorithm, it can be used for open-loop unstable, non-minimum phase and when
The object more rambunctious such as time_varying delay, and time lag to system and order is uncertain good robustness；But for multivariable
System, algorithm are implemented more difficult.3rd class, it is referred to as " roll stablized loop " (RHC), in theoretical circles by famous LQ or LQG
Algorithm development, it has been expanded to tracing control and output feedback ontrol.As shown in accompanying drawing 14.
Embodiment 6：
Industrial energy saving emission reduction control device according to embodiment 1 or 2 or 3 or 4 or 5, with artificial intelligence
Expert system technology development, the thought and method of expert system are introduced control by the scholar of automation field, engineer
In systematic research and engineer applied, it is intended to solve to rely solely on a variety of actual controls hard to work of traditional autocontrol method
Problem processed, some are completed with the inefficient complex control task of existing control technology, while promote Theory of Automatic Control and skill
The development of art, so as to generate this novel control method of Multimode Control.The essence of Multimode Control is to make the structure of control system
The various expertises for being all based on controlled device and control law are made and run, and to utilize knowledge in a manner of intelligence,
So that controlled system optimize as far as possible with it is practical.Therefore, Multimode Control is also referred to as Knowledge based engineering control or expert intelligence
Control.The thought source of Multimode Control in expert system, but with expert system again it is incomplete same, according to the complexity of system architecture
Property can be divided into Multimode Control two kinds of forms, i.e. expert control system and Expert Controller.The former system architecture is more complicated, grinds
Cost processed is higher, has preferable technical performance, and for needing device or process compared with high-tech.Expert Controller is also known as
Knowl- edge Control device is given, relatively simple for structure, development tolls are low, and technical performance and can meets typically for industrial stokehold
Ask, thus obtain to compare and be widely applied.Based on the effect of knowledge based controller in the entire system, expert can be controlled
System processed is divided into two kinds of direct expert control system and indirect expert control system.In direct Multimode Control, controller is to being
System provides control signal, and directly controlled process is acted.In indirect expert control system, controller indirectly to by
Control process acts, therefore can be described as monitor-type expert control system or parameter adaptive control system again.Such as accompanying drawing 11,13
It is shown.
Embodiment 7：
Industrial energy saving emission reduction control device according to embodiment 1 or 2 or 3 or 4 or 5 or 6 is establishing standard
The advanced control system engineering construction scheme and step of change, establish advanced control system platform, advanced design control device；From again
Limit product lifting and the energy, material consumption height are found in miscellaneous practical engineering application, the high root of pollutant emission, is improved existing
Advanced Control Techniques propose solution, and advanced control algorithm is integrated in control device；To data analysis, process mechanism
Integrated application, progressively strengthen real-time data analysis and be combined with the model based on exact mechanism, form complete Dynamic matrix control dress
Put.
Claims (1)
1. a kind of control method of industrial energy saving emission reduction control device, it is characterized in that：Industrial energy saving emission reduction control device includes frame
Frame, described lower portion are provided with sensor, and described sensor is connected with logic control device, described logic control dress
Putting inside includes controller, logical-arithmetic unit, and described controller is connected with logical-arithmetic unit, described logic control device point
It is not connected with executing agency, Ethernet control circuit, man-machine interface, described Ethernet control circuit connects with industrial computer
Connect；Described logical-arithmetic unit respectively with hard measurement circuit, neural control circuit, fuzzy control circuit, matrix control circuit,
PID control circuits, the connection of PREDICTIVE CONTROL circuit；
The control method of this industrial energy saving emission reduction control device comprises the following steps：
The first step：The advanced control system engineering construction scheme and step of standardization are initially set up, advanced control system is established and puts down
Platform, advanced design control device；
Second step：Limit product lifting and the energy, material consumption height are found from complicated practical engineering application, pollutant emission is high
Root, improve existing Advanced Control Techniques and propose solution, and advanced control algorithm is integrated in control device；
3rd step：To data analysis, the integrated application of process mechanism, progressively strengthen real-time data analysis and based on exact mechanism
Model is combined, and forms complete Dynamic matrix control device；
Described controller passes information to configuration software and handled, while receives under described configuration software
The control instruction reached, and control actuating mechanism controls production process；Described logic control device using EPA system as
Communication network, it is connected with upper industrial computer and transmits industrial process data and control information, host computer installation man-machine interface shows
Show the state of the art of industrial processes and the time of day of energy resource consumption, meanwhile, described man-machine interface undertake algorithm management,
Foundation, electronic filing, history and the real time data library facility of model；
Hard measurement circuit according to these variables and is difficult between process variable to be measured measured directly using process variable is easily surveyed
Mathematical relationship, by various mathematical computations and method of estimation, final " hard measurement " realized to variable to be measured；
PREDICTIVE CONTROL circuit is a kind of closed optimized control strategy based on model, and its algorithm core is:With predictive processes
The dynamic model of future behaviour, optimization is calculated and rolled each in the control action and variable and performance variable of implementation repeatedly online
Kind constraint.
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| CN112631215B (en) * | 2020-12-10 | 2022-06-24 | 东北大学 | Intelligent forecasting method, device, equipment and storage medium for industrial process operation index |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US4253148A (en) * | 1979-05-08 | 1981-02-24 | Forney Engineering Company | Distributed single board computer industrial control system |
| CN101046296A (en) * | 2006-03-31 | 2007-10-03 | 吴仲贤 | Comprehensive energy-saving method for boiler or industrial furnace and kiln |
| CN202092229U (en) * | 2011-05-18 | 2011-12-28 | 天津市亚控自动化仪表安装工程有限公司 | Energy-saving complete control system for intelligentized heat supply |
| CN103336433A (en) * | 2013-04-25 | 2013-10-02 | 常州大学 | Back stepping based mixed adaptive predication control system and predication control method thereof |
| CN103970077A (en) * | 2013-01-30 | 2014-08-06 | 福州福大自动化科技有限公司 | Integrated implementation method and device of advanced control technology in industrial control system |
| CN203982179U (en) * | 2014-08-13 | 2014-12-03 | 黑龙江省科学院自动化研究所 | Industrial energy saving reduces discharging control device |
-
2014
- 2014-08-13 CN CN201410394925.9A patent/CN104122878B/en not_active Expired - Fee Related
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US4253148A (en) * | 1979-05-08 | 1981-02-24 | Forney Engineering Company | Distributed single board computer industrial control system |
| CN101046296A (en) * | 2006-03-31 | 2007-10-03 | 吴仲贤 | Comprehensive energy-saving method for boiler or industrial furnace and kiln |
| CN202092229U (en) * | 2011-05-18 | 2011-12-28 | 天津市亚控自动化仪表安装工程有限公司 | Energy-saving complete control system for intelligentized heat supply |
| CN103970077A (en) * | 2013-01-30 | 2014-08-06 | 福州福大自动化科技有限公司 | Integrated implementation method and device of advanced control technology in industrial control system |
| CN103336433A (en) * | 2013-04-25 | 2013-10-02 | 常州大学 | Back stepping based mixed adaptive predication control system and predication control method thereof |
| CN203982179U (en) * | 2014-08-13 | 2014-12-03 | 黑龙江省科学院自动化研究所 | Industrial energy saving reduces discharging control device |
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