CN102699300A - Method and system for controlling continuous casting technique by using computer - Google Patents
Method and system for controlling continuous casting technique by using computer Download PDFInfo
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- CN102699300A CN102699300A CN2012101599891A CN201210159989A CN102699300A CN 102699300 A CN102699300 A CN 102699300A CN 2012101599891 A CN2012101599891 A CN 2012101599891A CN 201210159989 A CN201210159989 A CN 201210159989A CN 102699300 A CN102699300 A CN 102699300A
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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 mainly is to carry out respectively from two aspects that the continuous casting billet end product quality is improved: be abstract mode on the one hand; As shown in Figure 1, promptly generate managing computer system the continuous casting billet end product quality being added up, analyzed and concludes than long duration, more finished product batch, in a big way through continuous casting, draw relevant in the recent period certain type or a few types of right quality problems in continuous casting billet finished products what aspect of existence; Proposition is improved general orientation how; This process must be by relevant quality analysis technical staff, often be to participate in down senior continuous casting expert, accomplish by the continuous casting production process data that production management computer system is collected, whole process time is longer; Cost is higher; And the conclusion that provides is many qualitatively, and quantitative lacks, and analyze and the result that judges and the improvement direction that provides not necessarily accurate.
Be direct mode on the other hand; As shown in Figure 2; Promptly the technological operating personnel through being responsible for conticaster production are according to the procedural information that shows on the continuous casting control picture with to the direct observed result (like conspicuous phenomenons such as casting billet surface blackout, casting blank bulging, water chestnut changes) of online continuous casting billet; Knowhow according to the operating technology personnel is directly made amendment to the main setup parameter (like pulling rate, injection flow rate etc.) that conticaster is produced, and when the anomaly that observes disappears, just no longer makes amendment.The full frame experience of such mode; Lack in theory and describe accurately; Experience is difficult to quantize and can not progressively accumulate; In case objective condition has changed (for example conticaster equipment aging, the production operation staff redeployment of depreciation etc.) gradually, original method just is 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 realizing above-mentioned purpose, one embodiment of the present of invention provide a kind of continuous casting process computer control method, comprising:
Call the conticaster automated system and gather the on-the-spot production process data of continuous casting process;
The production process data that collects is carried out the video recording formula handle, to reappear the production control process;
According to the target of quality improvement, from the production control process of reappearing, collect qualitative data;
The qualitative data of said collection is input in the learning-oriented Expert System Model of quality, flow process self-definition model and the neural network model, draws quality improvement scheme parameter, and generate program and the data of upgrading;
With the program and transfer of data to the conticaster automated system of said renewal, so that said conticaster automated system is controlled the production process of conticaster according to the program and the data of this renewal.
Preferably, comprise a plurality of subsystem models in the said flow process self-definition model, carry out correlation analysis between said a plurality of subsystem models.
Preferably; Said flow process self-definition model comprises crystallizer breakout prediction model and dynamic water allocation model; Said crystallizer breakout prediction model flows shell thickness according to the casting that the regional process data of crystallizer calculates the crystallizer outlet side, and said dynamic water allocation model carries out water yield set-up and calculated, the calculating of two cool region shell thicknesses according to the casting stream shell thickness that said crystallizer breakout prediction Model Calculation goes out.
On the other hand, the present invention also provides a kind of continuous casting process computer control system, comprising:
The production process data acquisition module is used to call the conticaster automated system and gathers the on-the-spot production process data of continuous casting process;
The production process playback module is used for that the production process data that collects is carried out the video recording formula and handles, to reappear the production control process;
The qualitative data collection module is used for the target according to quality improvement, from the production process of reappearing, collects qualitative data;
Quality improvement modules; Be used for the qualitative data of said collection is input to the learning-oriented Expert System Model of quality, flow process custom block and neural network model; Draw quality improvement scheme parameter; And generate program and the data of upgrading, and transfer in the conticaster automated system, so that said conticaster automated system is controlled the production process of conticaster according to the program and the data of this renewal.
Preferably, comprise a plurality of subsystem models in the said flow process self-definition model, carry out correlation analysis between said a plurality of subsystem models.
Preferably; Comprise crystallizer breakout prediction model and dynamic water allocation model in the said flow process self-definition model; Said crystallizer breakout prediction model flows shell thickness according to the casting that the regional process data of crystallizer calculates the crystallizer outlet side, and the bleed-out shell thickness that said dynamic water allocation model goes out according to said crystallizer breakout prediction Model Calculation carries out calculating and the calculating of two cool region shell thicknesses that the water yield is set.
Utilized the production process playback technology in continuous casting process computer control system that the embodiment of the invention provides and the method; The use of this technology has made quality improvement be operated in to have reproduced truly under the off-line case the on-the-spot production status of conticaster; Make technical scheme of the present invention both have the advantage of quality problems being carried out off-line analysis; As collection, extraction and the analytical work two of data or, needn't keep at the scene always, can repeatedly repeat; The live effect that has the conticaster production scene is not again lost crucial production process information.
The embedding of the learning-oriented expert system of quality, flow process self-definition model and neural network model in the system of the present invention in addition makes technical scheme of the present invention be the basis, can carry out the characteristics of Continual Improvement to the continuous casting billet end product quality with advanced metallurgy and technology theory with what abstract mode technology had again.The long-term accumulation of the knowhow that the confrontation amount temperature is analyzed 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, and fully computerization has clear and definite improvement target; Improvement project has very strong operability; Improving the result can assess accurately, also can sum up improvement effect easily, further revises on this basis.
Description of drawings
In order to be illustrated more clearly in the embodiment of the invention or technical scheme of the prior art; To do to introduce simply to the accompanying drawing of required use in embodiment or the description of the Prior Art below; Obviously, the accompanying drawing in describing below is some embodiments of the present invention, for those of ordinary skills; Under the prerequisite of not paying creative work, can also obtain other accompanying drawing according to these accompanying drawings.
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 sketch map of the continuous casting process computer control method that provides of the embodiment of the invention;
Fig. 4 is the correlation analysis sketch map between crystallizer breakout prediction model and the dynamic water allocation model in the embodiment of the invention.
The specific embodiment
For the purpose, technical scheme and the advantage that make the embodiment of the invention clearer; To combine the accompanying drawing in the embodiment of the invention below; Technical scheme in the embodiment of the invention is carried out clear, intactly description; Obviously, described embodiment is the present invention's part embodiment, rather than whole embodiment.Based on the embodiment among the present invention, those of ordinary skills are not making the every other embodiment that is obtained under the creative work prerequisite, all belong to the scope of the present invention's protection.
Continuous casting process computer control method and system among the present invention have realized the combination with abstract mode and direct mode, can have long-term lot of data Collection and analysis function, can draw quickly again to 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, this method comprises the steps:
Step S301: call the conticaster automated system and gather the on-the-spot creation data of continuous casting process.
The conticaster automated system is to be used for controlling the control system that conticaster carries out work.
Step S302: the production process data that collects is carried out the video recording formula handle, to reappear the production control process.
Production process data can be carried out the processing of video recording formula after collecting, this process has reappeared the production and the control procedure of conticaster at that time fully and really, also can be called like " production process playback " among Fig. 3.
Step S303:, from the production control process of reappearing, collect qualitative data according to the target of quality improvement.
In step S303, according to the quality problems that current needs solve emphatically, give prominence to the procedural information of certain link selectively, emphasis is collected and is handled.For example, if the bleed-out phenomenon of crystallizer is more in the nearest production, then 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, flow process self-definition model and the neural network model, draws quality improvement scheme parameter, and generates program and the data of upgrading.
Step S305: with program and transfer of data to the conticaster automated system upgraded.
Step S306: the conticaster automated system is controlled the production process of conticaster according to the program and the data of this renewal.
In a preferred embodiment, comprise a plurality of subsystem models in the above-mentioned flow process self-definition model, carry out correlation analysis between a plurality of 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 owing to each link relevance.
Below specify correlation analysis with a concrete example.For example; In the flow process self-definition model, comprise crystallizer breakout prediction model and dynamic water allocation model; Crystallizer breakout prediction model flows shell thickness according to the casting that the regional process data of crystallizer calculates the crystallizer outlet side, and said dynamic water allocation model carries out water yield set-up and calculated, the calculating of two cool region shell thicknesses according to the casting stream shell thickness that said crystallizer breakout prediction Model Calculation goes out.
It will be apparent to those skilled in the art that in continuous casting production process, open water after; The arrogant bag of molten steel flows into tundish, flows into crystallizer from tundish again, when molten steel flows into crystallizer; The crystallizer wall is connected with recirculated cooling water; Begin molten steel is cooled off, this section cooled region is called " one cold section ", and one cold section cooling water 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, mold oscillation parameter (for example vibration frequency, amplitude etc.).
Molten steel gets into two cold-zones very soon after crystallizer flows out.Two cold-zones generally are made up 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 got into secondary cooling zone, secondary cooling zone nozzle ejection cooling water cooled off the molten steel casting stream that gets into two cold-zones, and the conventional type of cooling of secondary cooling zone is the parameter water distribution, and the general at present water distribution mode that adopts is a dynamic water allocation.So-called dynamic water allocation is meant according to the process for making of Ferrous Metallurgy theoretical; The liquid core thickness that the molten steel casting that gets into two cold-zones is flowed calculates; Obtain the setting injection flow rate of two each cooling section of cold-zone; Water spray through setting the water yield is controlled the surface temperature of secondary cooling zone casting stream, makes the temperature of each temperature control point of casting stream surface remain on the optimum.After casting stream surface temperature is controlled, just can farthest reduce the various inside and the blemish of continuous casting billet, just be hopeful to obtain best finished product continuous casting billet.Control further is then when using dynamic water allocation; Adopt and dynamically gently depress model, the casting flow liquid core thickness through the dynamic water allocation Model Calculation goes out in position carries out shallow draft through screwdown gear to casting stream; Further reduce liquid core thickness; Defectives such as the shrinkage cavity at minimizing casting stream center, implosion make that this place's liquid core further homogenizes, and improve continuous casting billet quality.
The main effect of crystallizer breakout prediction model is the disturbance of in time finding fluctuation of the abnormal temperature of molten steel in mold and molten steel magazine, avoids the generation of anomalous mass incidents such as steel bonding, bleed-out.The main effect of dynamic water allocation model is according to metallurgical theory cooling of the stream of the casting in the continuous casting production and process of setting to be portrayed and controlled.In production process in the past, these two models all are to realize respectively controlling with discrete.In fact; Can find out in conjunction with Fig. 4; The breakout prediction model is except the steel bonding of accomplishing the crystallizer zone, the early warning of bleed-out incident, and the process data in the crystallizer zone that it can also collect according to this model is like electric thermo-couple temperature; Calculate the heat-exchange power between crystallizer inwall and the molten steel in mold easily, 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 for the solidification zone of follow-up dynamic water allocation Model Calculation two cool regions considerable reference value is arranged then.If with the discrete layout of each model, then carry out separately in the process of independent control, the dynamic water allocation model will can not get this important parameters.
And in this preferred mode; The casting stream shell thickness of the crystallizer outlet side that the breakout prediction Model Calculation goes out will send the dynamic water allocation model to; When this section casting stream that is in the crystallizer exit region carries out two cool regions; The dynamic water allocation model will be taken into account the shell thickness of this Duan Zhuliu through the crystallizer outlet time when calculating; Like this, the 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.
The present invention is also corresponding in addition provides a kind of continuous casting process computer control system, and this system comprises:
The production process data acquisition module is used to call the conticaster automated system and gathers the on-the-spot production process data of continuous casting process;
The production process playback module is used for that the production process data that collects is carried out the video recording formula and handles, to reappear the production control process;
The qualitative data collection module is used for the target according to quality improvement, from the production process of reappearing, collects qualitative data;
Quality improvement modules; Be used for the qualitative data of said collection is input to the learning-oriented Expert System Model of quality, flow process custom block and neural network model; Draw quality improvement scheme parameter; And generate program and the data of upgrading, and transfer in the conticaster automated system, so that said conticaster automated system is controlled the production process of conticaster according to the program and the data of this renewal.
Wherein, can comprise a plurality of subsystem models in the flow process self-definition model, carry out correlation analysis between a plurality of subsystem models.
For example; Can comprise crystallizer breakout prediction model and dynamic water allocation model in the flow process self-definition model; Crystallizer breakout prediction model flows shell thickness according to the casting that the regional process data of crystallizer calculates the crystallizer outlet side, and the bleed-out shell thickness that the dynamic water allocation model goes out according to said crystallizer breakout prediction Model Calculation carries out calculating and the calculating of two cool region shell thicknesses that the water yield is set.
Below specify the course of work of the system among the present invention: 1) utilize continuous casting production control Mathematical Modeling; Quality objective requirement according to continuous casting finished product base; Continuous casting process data to the key link of whole continuous casting production process are extracted and are integrated; Form a complete continuous casting quality and improve parameter set, this step realizes through the production process playback technology; 2) then through various continuous casting mathematics of control models; Learning-oriented expert system of quality and neural network model are analyzed and are concluded the continuous casting production process of reality; Revise the quality improvement parameter set, draw the concrete quantization scheme that carries out further quality improvement to present continuous casting production status; Carry out this quality improvement scheme afterwards, collect the result of quality improvement; 3) according to the quality improvement result, judge whether ideal,, then get back to 2 once more if the result is not ideal enough), analyze once more, revise the mass parameter collection, if the result is desirable, this QIP finishes.
This shows; Utilized the production process playback technology in continuous casting process computer control system that the embodiment of the invention provides and the method; The use of this technology made quality improvement be operated in to have reproduced truly under the off-line case and made technical scheme of the present invention both have the advantage of quality problems being carried out off-line analysis by the on-the-spot production status of conticaster, as collection, extraction and the analytical work two of data or; Needn't keep at the scene always; Can repeatedly repeat, have the live effect of conticaster production scene again, not lose crucial production process information.
The embedding of the learning-oriented expert system of quality, flow process self-definition model and neural network model in the system of the present invention in addition makes technical scheme of the present invention be the basis, can carry out the characteristics of Continual Improvement to the continuous casting billet end product quality with advanced metallurgy and technology theory with what abstract mode technology had again.The long-term accumulation of the knowhow that the confrontation amount temperature is analyzed 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, and fully computerization has clear and definite improvement target; Improvement project has very strong operability; Improving the result can assess accurately, also can sum up improvement effect easily, further revises on this basis.
The above only is a preferred implementation of the present invention; Should be pointed out that for those skilled in the art, under the prerequisite that does not break away from the principle of the invention; Can also make some improvement and retouching, these improvement and retouching also should be regarded as protection scope of the present invention.
Claims (6)
1. a continuous casting process computer control method is characterized in that, comprising:
Call the conticaster automated system and gather the on-the-spot production process data of continuous casting process;
The production process data that collects is carried out the video recording formula handle, to reappear the production control process;
According to the target of quality improvement, from the production control process of reappearing, collect qualitative data;
The qualitative data of said collection is input in the learning-oriented Expert System Model of quality, flow process self-definition model and the neural network model, draws quality improvement scheme parameter, and generate program and the data of upgrading;
With the program and transfer of data to the conticaster automated system of said renewal, so that said conticaster automated system is controlled the production process of conticaster according to the program and the data of this renewal.
2. method according to claim 1 is characterized in that, comprises a plurality of subsystem models in the said flow process self-definition model, carries out correlation analysis between said a plurality of subsystem models.
3. method according to claim 2; It is characterized in that; Said flow process self-definition model comprises crystallizer breakout prediction model and dynamic water allocation model; Said crystallizer breakout prediction model flows shell thickness according to the casting that the regional process data of crystallizer calculates the crystallizer outlet side, and said dynamic water allocation model carries out water yield set-up and calculated, the calculating of two cool region shell thicknesses according to the casting stream shell thickness that said crystallizer breakout prediction Model Calculation goes out.
4. a continuous casting process computer control system is characterized in that, comprising:
The production process data acquisition module is used to call the conticaster automated system and gathers the on-the-spot production process data of continuous casting process;
The production process playback module is used for that the production process data that collects is carried out the video recording formula and handles, to reappear the production control process;
The qualitative data collection module is used for the target according to quality improvement, from the production process of reappearing, collects qualitative data;
Quality improvement modules; Be used for the qualitative data of said collection is input to the learning-oriented Expert System Model of quality, flow process custom block and neural network model; Draw quality improvement scheme parameter; And generate program and the data of upgrading, and transfer in the conticaster automated system, so that said conticaster automated system is controlled the production process of conticaster according to the program and the data of this renewal.
5. system according to claim 4 is characterized in that, comprises a plurality of subsystem models in the said flow process self-definition model, carries out correlation analysis between said a plurality of subsystem models.
6. system according to claim 5; It is characterized in that; Comprise crystallizer breakout prediction model and dynamic water allocation model in the said flow process self-definition model; Said crystallizer breakout prediction model flows shell thickness according to the casting that the regional process data of crystallizer calculates the crystallizer outlet side, and the bleed-out shell thickness that said dynamic water allocation model goes out according to said crystallizer breakout prediction Model Calculation carries out calculating and the calculating of two cool region shell thicknesses that the water yield is set.
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