CN102699300B - Method and system for controlling continuous casting technique by using computer - Google Patents
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Abstract
The embodiment of the invention provides a method and a system for controlling a continuous casting technique by using a computer. The method comprises the following steps of: calling production process data collected in a continuous casting site by using an automatic system of a continuous casting machine; performing recording type treatment on the collected production process data so as to reproduce the production control process; collecting the quality data from the reproduced production control process according to a target of quality movement; inputting the collected quality data to a quality learning-type expert system module, a process self-defined module and a neural network module so as to obtain the parameters of the quality improvement plan and generate the updated program and data; and transmitting the updated program and data to the automatic system of the continuous casting machine so that the automatic system of the continuous casting machine can control the production process of the continuous casting machine according to the updated program and data.
Description
Technical field
The invention belongs to continuous casting process control field, relate in particular to a kind of continuous casting process computer control method and system.
Background technology
In production history in the past, it is mainly to carry out respectively from two aspects that continuous casting billet end product quality is improved: be abstract mode on the one hand, as shown in Figure 1, by continuous casting, generate managing computer system in longer period of time, more finished product batch, in a big way, continuous casting billet end product quality is added up, analyze and conclude, draw in the recent period and to have the quality problems what aspect is right about certain class or a few class continuous casting billet finished product, how improved general orientation of proposition, this process must be by the quality analysis technical staff who is correlated with, often under senior continuous casting expert participates in, the continuous casting production process data of collecting by production management computer system complete, whole process time is longer, cost is higher, and the conclusion providing is many qualitatively, quantitative lacks, and the result of analyzing and judge and the improvement direction providing are not necessarily accurate.
Direct mode on the other hand, as shown in Figure 2, the technical operation personnel that produce by responsible conticaster are according to the procedural information showing on continuous casting control interface and the direct observed result to online continuous casting billet (as apparent phenomenons such as casting billet surface blackout, casting blank bulging, water chestnut changes), the main setup parameter (as pulling rate, injection flow rate etc.) of directly conticaster being produced according to operating technology personnel's knowhow is modified, when the anomaly observing disappears, just no longer modify.The full frame experience of such mode, lack in theory and describe accurately, experience is difficult to quantize and can not progressively accumulate, such as, once objective condition has changed (continuous casting machine aging, production operation staff redeployment of depreciation etc. gradually), method originally is just difficult to continue, and has to restart according to news.
Summary of the invention
In view of this, the object of the present invention is to provide a kind of continuous casting process computer control method and system, needn't keep at the scene always, but also do not lose crucial production process information.
For achieving the above object, one embodiment of the present of invention provide a kind of continuous casting process computer control method, comprising:
Call the production process data that conticaster automated system gathers continuous casting process scene;
To the production process data the collecting formula processing of recording a video, to reappear production control process;
According to the target of quality improvement, from the production control process of reappearing, collect qualitative data;
The qualitative data of described collection is input in the learning-oriented Expert System Model of quality, user-defined flow model and neural network model, draws quality improvement scheme parameter, and generate program and the data upgraded;
By the program of described renewal and transfer of data to conticaster automated system, so that described conticaster automated system is controlled the production process of conticaster according to the program of this renewal and data.
Preferably, described user-defined flow model comprises multiple subsystem models, between described multiple subsystem models, carries out correlation analysis.
Preferably, described user-defined flow model comprises crystallizer bleedout prediction electric thermo model and dynamic water allocation model, described crystallizer bleedout prediction electric thermo model calculates the casting stream shell thickness of crystallizer outlet side according to the process data in crystallizer region, the casting stream shell thickness that described dynamic water allocation model calculates according to described crystallizer bleedout prediction electric thermo model carries out the water yield and sets calculating, two cool region shell thicknesses calculating.
On the other hand, the present invention also provides a kind of continuous casting process computer control system, comprising:
Production process data acquisition module, for calling the production process data at conticaster automated system collection continuous casting process scene;
Production process playback module, for formula processing that the production process data collecting is recorded a video, to reappear production control process;
Qualitative data collection module for according to the target of quality improvement, is collected qualitative data from the production process of reappearing;
Quality improvement modules, for the qualitative data of described collection is input to the learning-oriented Expert System Model of quality, user-defined flow module and neural network model, draw quality improvement scheme parameter, and program and the data of generation renewal, and transfer in conticaster automated system, so that described conticaster automated system is controlled the production process of conticaster according to the program of this renewal and data.
Preferably, described user-defined flow model comprises multiple subsystem models, between described multiple subsystem models, carries out correlation analysis.
Preferably, described user-defined flow model comprises crystallizer bleedout prediction electric thermo model and dynamic water allocation model, described crystallizer bleedout prediction electric thermo model calculates the casting stream shell thickness of crystallizer outlet side according to the process data in crystallizer region, calculating and two cool region shell thicknesses that the bleed-out shell thickness that described dynamic water allocation model calculates according to described crystallizer bleedout prediction electric thermo model carries out water yield setting calculate.
In the continuous casting process computer control system that the embodiment of the present invention provides and method, utilized production process playback technology, the use of this technology makes quality improvement be operated in the production status that has reproduced truly conticaster scene under off-line case, technical solution of the present invention had both been had advantages of quality problems are carried out to off-line analysis, as the collection of data, extraction and analytical work two or, needn't keep at the scene always, can repeatedly repeat, there is again the live effect of conticaster production scene, do not lose crucial production process information.
In addition the embedding of the learning-oriented expert system of quality, user-defined flow model and the neural network model in system of the present invention make again that technical scheme of the present invention has with abstract mode technology take advanced metallurgy and technology theory as basis, can carry out to continuous casting billet end product quality the feature of Continual Improvement.The long-term accumulation of the knowhow analyzed of confrontation amount temperature, has the advantage of Continual Improvement conticaster end product quality.
In addition, technical scheme of the present invention is in the process that realizes quality improvement, fully computerization, there is clear and definite improvement target, improvement project has very strong operability, improving result can assess accurately, also can sum up easily improvement effect, further revises on this basis.
Accompanying drawing explanation
In order to be illustrated more clearly in the embodiment of the present invention or technical scheme of the prior art, to the accompanying drawing of required use in embodiment or description of the Prior Art be briefly described below, apparently, accompanying drawing in the following describes is some embodiments of the present invention, for those of ordinary skills, do not paying under the prerequisite of creative work, can also obtain according to these accompanying drawings other accompanying drawing.
Fig. 1 is that the continuous casting billet quality of the abstract mode of available technology adopting is improved one's methods;
Fig. 2 is that the continuous casting billet quality of available technology adopting direct mode is improved one's methods;
Fig. 3 is the schematic diagram of the continuous casting process computer control method that provides of the embodiment of the present invention;
Fig. 4 is the correlation analysis schematic diagram between crystallizer bleedout prediction electric thermo model and dynamic water allocation model in the embodiment of the present invention.
The specific embodiment
For making object, technical scheme and the advantage of the embodiment of the present invention clearer, below in conjunction with the accompanying drawing in the embodiment of the present invention, technical scheme in the embodiment of the present invention is clearly and completely described, obviously, described embodiment is the present invention's part embodiment, rather than whole embodiment.Based on the embodiment in the present invention, those of ordinary skills, not making the every other embodiment obtaining under creative work prerequisite, belong to the scope of protection of the invention.
Continuous casting process computer control method in the present invention and system have realized the combination of abstract mode and direct mode, can have long-term a large amount of data collection and analysis function, can draw quickly again and analyze conclusion and improvement direction from now on.
Fig. 3 shows a kind of continuous casting process computer control method flow chart provided by the invention.As shown in Figure 3, the method comprises the steps:
Step S301: the creation data that calls conticaster automated system collection continuous casting process scene.
Conticaster automated system is the control system of carrying out work for controlling conticaster.
Step S302: to the production process data the collecting formula processing of recording a video, to reappear production control process.
The production process data formula processing of can recording a video after collecting, this process has reappeared production and the control procedure of conticaster at that time completely and really, also can be called as " production process playback " in Fig. 3.
Step S303: according to the target of quality improvement, collect qualitative data from the production control process of reappearing.
In step S303, the quality problems that solve emphatically according to current needs, the procedural information of outstanding certain link selectively, emphasis is collected and is processed.For example, if the bleed-out phenomenon of crystallizer is more in nearest production, can concentrate the relevant process data of extraction crystallizer bleed-out accident to analyze.
Step S304: the qualitative data that step S303 is collected is input in the learning-oriented Expert System Model of quality, user-defined flow model and neural network model, draws quality improvement scheme parameter, and generates program and the data upgraded.
Step S305: by upgrade program and transfer of data to conticaster automated system.
Step S306: conticaster automated system is controlled the production process of conticaster according to the program of this renewal and data.
In a preferred embodiment, above-mentioned user-defined flow model comprises multiple subsystem models, carries out correlation analysis between multiple subsystem models.Therefore this preferred mode has embodied the correlation between each model, and the weakness that each controlling unit is connected mutually carries out correlation analysis, has solved the various knotty problems that cause due to each link relevance.
With a concrete example, describe correlation analysis in detail below.For example, when user-defined flow model comprises crystallizer bleedout prediction electric thermo model and dynamic water allocation model, crystallizer bleedout prediction electric thermo model calculates the casting stream shell thickness of crystallizer outlet side according to the process data in crystallizer region, the casting stream shell thickness that described dynamic water allocation model calculates according to described crystallizer bleedout prediction electric thermo model carries out the water yield and sets calculating, two cool region shell thicknesses calculating.
Those skilled in the art should be clear, in continuous casting production process, after opening and watering, the arrogant bag of molten steel flows into tundish, then flows into crystallizer from tundish, when molten steel flows into crystallizer, crystallizer wall is connected with recirculated cooling water, start molten steel to carry out cooling, this section of cooled region is called " one cold section ", and the cooling water of cold section is called " cold water ".In this process, the continuous casting process procedure parameter that continuous casting billet quality is had a significant effect is: molten steel temperature in tundish and weight, crystallizer cooling water temperature and flow, crystallizer wall frictional force, Oscilation Parameters of Mold (such as vibration frequency, amplitude etc.).
Molten steel, after crystallizer flows out, enters two cold-zones very soon.Two cold-zones are generally comprised of four to five cooling sections, and the upper and lower of each cooling section is provided with many group cooling jets.When molten steel enters secondary cooling zone, secondary cooling zone nozzle ejection cooling water, carries out coolingly to entering the molten steel of two cold-zones, and the type of cooling of secondary cooling zone routine is parameter water distribution, and the general water distribution mode adopting is dynamic water allocation at present.So-called dynamic water allocation refers to the process for making theory according to Ferrous Metallurgy, liquid core thickness to the molten steel that enters two cold-zones calculates, obtain the setting injection flow rate of the two each cooling sections in cold-zone, by the water spray of setting the water yield, the surface temperature of secondary cooling zone casting stream is controlled, the temperature of the surperficial each temperature control point of casting stream is remained on Best Point.After casting stream surface temperature is controlled, just can farthest reduce various inside and the blemish of continuous casting billet, just be hopeful to obtain best finished product continuous casting billet.Further control when using dynamic water allocation, adopt dynamic soft-reduction model, the casting flow liquid core thickness calculating by dynamic water allocation model, in position by screwdown gear, casting stream is carried out to shallow draft, further reduction liquid core thickness, the defect such as shrinkage cavity, implosion that reduces Zhu Liu center, further homogenizes this place's liquid core, improves continuous casting billet quality.
The Main Function of crystallizer bleedout prediction electric thermo model is to find in time the abnormal temperature fluctuation of molten steel in mold and the disturbance of molten steel magazine, avoids the generation of the anomalous mass events such as steel bonding, bleed-out.The Main Function of dynamic water allocation model is to portray and control with process of setting the casting stream in continuous casting production is cooling according to metallurgical theory.In production process in the past, these two models are all what to realize respectively with discrete control.In fact, in conjunction with Fig. 4, can find out, breakout prediction model is except completing the steel bonding, the early warning of bleed-out event in crystallizer region, the process data in the crystallizer region that it can also collect according to this model, as electric thermo-couple temperature, calculate easily the heat-exchange power between crystallizer inwall and molten steel in mold, and then draw the casting stream shell thickness of crystallizer outlet side.The casting stream shell thickness of this crystallizer outlet side is general for the meaning of breakout prediction model, but has considerable reference value for the solidification zone that follow-up dynamic water allocation model calculates two cool regions.If by discrete each model layout, carry out separately in the independent process of controlling, dynamic water allocation model will can not get this important parameter.
And in this preferred mode, the casting stream shell thickness of the crystallizer outlet side that breakout prediction model calculates will send dynamic water allocation model to, when when this section of casting stream of crystallizer exit region carries out two cool regions, dynamic water allocation model will the shell thickness when through crystallizer outlet be taken into account this Duan Zhuliu when calculating, like this, dynamic water allocation model shows in the thick simulation of the solidified shell of two cool regions this Duan Zhuliu will be more accurate, and the two cold setting water yields of calculating also can be more accurate.
In addition the present invention is also corresponding provides a kind of continuous casting process computer control system, and this system comprises:
Production process data acquisition module, for calling the production process data at conticaster automated system collection continuous casting process scene;
Production process playback module, for formula processing that the production process data collecting is recorded a video, to reappear production control process;
Qualitative data collection module for according to the target of quality improvement, is collected qualitative data from the production process of reappearing;
Quality improvement modules, for the qualitative data of described collection is input to the learning-oriented Expert System Model of quality, user-defined flow module and neural network model, draw quality improvement scheme parameter, and program and the data of generation renewal, and transfer in conticaster automated system, so that described conticaster automated system is controlled the production process of conticaster according to the program of this renewal and data.
Wherein, in user-defined flow model, can comprise multiple subsystem models, between multiple subsystem models, carry out correlation analysis.
For example, in user-defined flow model, can comprise crystallizer bleedout prediction electric thermo model and dynamic water allocation model, crystallizer bleedout prediction electric thermo model calculates the casting stream shell thickness of crystallizer outlet side according to the process data in crystallizer region, calculating and two cool region shell thicknesses that the bleed-out shell thickness that dynamic water allocation model calculates according to described crystallizer bleedout prediction electric thermo model carries out water yield setting calculate.
Below describe the course of work of the system in the present invention in detail: 1) utilize continuous casting production control Mathematical Modeling, according to the quality objective requirement of continuous casting finished product base, the continuous casting process data of the key link to whole continuous casting production process are extracted and are integrated, form a complete continuous casting quality modified parameters collection, this step realizes by production process playback technology; 2) then by various continuous casting control mathematical models, the learning-oriented expert system of quality and neural network model are analyzed and are concluded actual continuous casting production process, revise quality improvement parameter set, draw the concrete quantization scheme that carries out further quality improvement for current continuous casting production status; Carry out afterwards this quality improvement scheme, collect the result of quality improvement; 3) according to quality improvement result, judge whether ideal, if result is not ideal enough, again get back to 2), again analyze, revise mass parameter collection, if result ideal, this QIP finishes.
As can be seen here, in the continuous casting process computer control system that the embodiment of the present invention provides and method, utilized production process playback technology, the use of this technology makes quality improvement be operated in the production status that has reproduced truly conticaster scene under off-line case, technical solution of the present invention had both been had advantages of quality problems are carried out to off-line analysis, as the collection of data, extraction and analytical work two or, needn't keep at the scene always, can repeatedly repeat, there is again the live effect of conticaster production scene, do not lose crucial production process information.
In addition the embedding of the learning-oriented expert system of quality, user-defined flow model and the neural network model in system of the present invention make again that technical scheme of the present invention has with abstract mode technology take advanced metallurgy and technology theory as basis, can carry out to continuous casting billet end product quality the feature of Continual Improvement.The long-term accumulation of the knowhow analyzed of confrontation amount temperature, has the advantage of Continual Improvement conticaster end product quality.
In addition, technical scheme of the present invention is in the process that realizes quality improvement, fully computerization, there is clear and definite improvement target, improvement project has very strong operability, improving result can assess accurately, also can sum up easily improvement effect, further revises on this basis.
The above is only the preferred embodiment of the present invention; it should be pointed out that for those skilled in the art, under the premise without departing from the principles of the invention; can also make some improvements and modifications, these improvements and modifications also should be considered as protection scope of the present invention.
Claims (2)
1. a continuous casting process computer control method, is characterized in that, comprising:
Call the production process data that conticaster automated system gathers continuous casting process scene;
To the production process data the collecting formula processing of recording a video, to reappear production control process;
According to the target of quality improvement, from the production control process of reappearing, collect qualitative data;
The qualitative data of described collection is input in the learning-oriented Expert System Model of quality, user-defined flow model and neural network model, draws quality improvement scheme parameter, and generate program and the data upgraded; Described user-defined flow model comprises crystallizer bleedout prediction electric thermo model and dynamic water allocation model, described crystallizer bleedout prediction electric thermo model calculates the casting stream shell thickness of crystallizer outlet side according to the process data in crystallizer region, the casting stream shell thickness that described dynamic water allocation model calculates according to described crystallizer bleedout prediction electric thermo model carries out the water yield and sets calculating, two cool region shell thicknesses calculating;
By the program of described renewal and transfer of data to conticaster automated system, so that described conticaster automated system is controlled the production process of conticaster according to the program of this renewal and data.
2. a continuous casting process computer control system, is characterized in that, comprising:
Production process data acquisition module, for calling the production process data at conticaster automated system collection continuous casting process scene;
Production process playback module, for formula processing that the production process data collecting is recorded a video, to reappear production control process;
Qualitative data collection module for according to the target of quality improvement, is collected qualitative data from the production process of reappearing;
Quality improvement modules, for the qualitative data of described collection is input to the learning-oriented Expert System Model of quality, user-defined flow module and neural network model, draw quality improvement scheme parameter, and program and the data of generation renewal, and transfer in conticaster automated system, so that described conticaster automated system is controlled the production process of conticaster according to the program of this renewal and data;
Described user-defined flow model comprises crystallizer bleedout prediction electric thermo model and dynamic water allocation model, described crystallizer bleedout prediction electric thermo model calculates the casting stream shell thickness of crystallizer outlet side according to the process data in crystallizer region, calculating and two cool region shell thicknesses that the bleed-out shell thickness that described dynamic water allocation model calculates according to described crystallizer bleedout prediction electric thermo model carries out water yield setting calculate.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108067599A (en) * | 2016-11-15 | 2018-05-25 | 上海宝信软件股份有限公司 | Slab quality analysis method based on steel-making continuous casting overall process data |
Families Citing this family (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103100678A (en) * | 2013-01-15 | 2013-05-15 | 中冶南方工程技术有限公司 | Online control system and method of influencing parameters of continuous casting defects |
| CN106180619A (en) * | 2016-08-12 | 2016-12-07 | 湖南千盟物联信息技术有限公司 | A kind of system approach of casting process Based Intelligent Control |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101462157A (en) * | 2009-01-16 | 2009-06-24 | 北京航空航天大学 | System and method suitable for quality control of reverse solidification technique |
| CN102114526A (en) * | 2009-12-31 | 2011-07-06 | 湖南镭目科技有限公司 | Casting blank specification monitoring system and method |
| CN102319883A (en) * | 2011-10-09 | 2012-01-18 | 北京首钢自动化信息技术有限公司 | Method for controlling on-line prediction of continuous casting blank quality |
Family Cites Families (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH1034305A (en) * | 1996-07-23 | 1998-02-10 | Nippon Steel Corp | Detection of boiling in mold for continuous casting |
| KR100518325B1 (en) * | 2002-12-14 | 2005-10-04 | 주식회사 포스코 | A Method for Monitoring the Escape of Molten Steel in Continuous Casting Mold |
-
2012
- 2012-05-22 CN CN201210159989.1A patent/CN102699300B/en active Active
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101462157A (en) * | 2009-01-16 | 2009-06-24 | 北京航空航天大学 | System and method suitable for quality control of reverse solidification technique |
| CN102114526A (en) * | 2009-12-31 | 2011-07-06 | 湖南镭目科技有限公司 | Casting blank specification monitoring system and method |
| CN102319883A (en) * | 2011-10-09 | 2012-01-18 | 北京首钢自动化信息技术有限公司 | Method for controlling on-line prediction of continuous casting blank quality |
Non-Patent Citations (4)
| Title |
|---|
| "唐钢FTSC工艺薄板坯连铸机的自动化控制***";杨晓江等;《工业控制计算机》;20060731;第19卷(第7期);第1-2、4页 * |
| "板坯质量判定与产品质量诊断***";高仲等;《炼钢》;20111231;第27卷(第6期);第70-73页 * |
| 杨晓江等."唐钢FTSC工艺薄板坯连铸机的自动化控制***".《工业控制计算机》.2006,第19卷(第7期), |
| 高仲等."板坯质量判定与产品质量诊断***".《炼钢》.2011,第27卷(第6期), |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108067599A (en) * | 2016-11-15 | 2018-05-25 | 上海宝信软件股份有限公司 | Slab quality analysis method based on steel-making continuous casting overall process data |
| CN108067599B (en) * | 2016-11-15 | 2019-09-17 | 上海宝信软件股份有限公司 | Slab quality analysis method based on steel-making continuous casting overall process data |
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