CN101367114A - Prognostication system for steel leakage of continuous casting sheet billet crystallizer - Google Patents
Prognostication system for steel leakage of continuous casting sheet billet crystallizer Download PDFInfo
- Publication number
- CN101367114A CN101367114A CNA200710094013XA CN200710094013A CN101367114A CN 101367114 A CN101367114 A CN 101367114A CN A200710094013X A CNA200710094013X A CN A200710094013XA CN 200710094013 A CN200710094013 A CN 200710094013A CN 101367114 A CN101367114 A CN 101367114A
- Authority
- CN
- China
- Prior art keywords
- data
- unit
- control station
- steel leakage
- crystallizer
- 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.)
- Pending
Links
Images
Landscapes
- Continuous Casting (AREA)
Abstract
The invention relates to a steel leakage forecast system for a continuous cast slab crystallizer, which aims to solve the technical problem in prior art that the steel leakage is judged only by a data base, and the judgment is unstable. The technical proposal is as follows: in the steel leakage forecast system for the continuously cast slab crystallizer, the crystallizer is provided with a plurality of rows of thermocouples. The technical proposal is characterized in that all thermocouples are connected with a control station by signal data lines, and the control station is connected with a computer by an ethernet, and is also connected with a warning horn. The control station comprises an I/O signal acquisition unit, a loop control unit, an interlock sequence control unit, a fuzzy-neural network unit and a logical judgment unit. The system is mainly applied to the steel leakage forecast of the continuous cast slab crystallizer.
Description
Technical field: the present invention relates to a kind of prognostication system for steel leakage of continuous casting sheet billet crystallizer.
Background technology: guaranteeing of the stable smooth operation of continuous casting production and slab quality is two vital tasks of continuous casting research work, in continuous casting is produced, bleed-out is the production contingency of tool harmfulness, it has not only directly reduced output, influence whole STEELMAKING PRODUCTION plan, and crystallizer and roller-way constituted certain harm, remote-effects the quality of strand, so bleed-out is a big factors that influences continuous casting production and equipment life thereof always.The cohesiveness bleed-out accounts for the overwhelming majority in the bleed-out that a variety of causes causes, bonding steel leakage at first is that molten steel bonds with direct contact of copper coin near causing meniscus for a certain reason, with the vibration of crystallizer and moving down of base shell, below binding part, broken, like this, along with the carrying out that solidifies, fracture constantly moves down, molten steel spills from fracture during to the crystallizer end opening, and fracture also constantly forms break line to the both sides expansion when moving down, the disrumpent feelings source of the bonding of broadside central authorities can expand to narrow limit, even, cause sticker type breakout to another broadside, therefore reducing sticker type breakout is the key point that reduces the continuous casting bleed-out rate.
Operation is with guaranteeing in pulling rate, the crystallizer that the molten steel face is stable meticulously simultaneously except improving the covering slag quality to solve the sticker type breakout problem, and what exploitation breakout prediction device was used for warning bleed-out in advance is than effective measures.In order to forecast the generation of sticker type breakout, the technology of external in recent years exploitation mainly contains thermocouple temperature measurement, the wave analysis of shaking, three kinds of methods of frictional resistance, thermocouple temperature measurement law technology comparative maturity wherein, accuracy is higher relatively, uses very generally in the big production of industry.
The thermocouple temperature measurement method of prediction is exactly the thermocouple that some is set at copper plate of crystallizer, be used to monitor the variations in temperature of copper coin, when continuous casting billet shell and copper plate of crystallizer bonding, certain variation can take place in copper plate temperature, predicts the possibility that sticker type breakout takes place according to the temperature profile of thermocouple.Behind system alarm, by reducing casting speed, increase the negative slip time and make bonding break away from copper coin, fracture forms certain thickness base shell before being incorporated in out crystallizer again, and bleed-out is avoided.
For carry out the judgement of bleed-out according to the temperature data of thermocouple, database certainly will will be set up, patent with normal data library facility has: JP04172160A, JP63115660A, JP05057412A, JP2003266161, JP05269562A, JP61027156A, JP61052972A, JP61052973A, change according to the electric thermo-couple temperature that is installed in crystallizer inside, with the bleed-out historical data comparison in the standard database, or based on neuron, judge whether bleed-out, and on-the-fly modify and improve standard database.But judge that by simple database also there is unsettled phenomenon in bleed-out.Therefore setting up one more fully analyzes and judges just very necessary to thermo-electric couple temperature data.
Summary of the invention: the purpose of this invention is to provide a kind of prognostication system for steel leakage of continuous casting sheet billet crystallizer, mainly solve the existing technical problem that also has unsettled phenomenon by simple database judgement bleed-out.
Technical scheme of the present invention is: prognostication system for steel leakage of continuous casting sheet billet crystallizer, on crystallizer, settle many heat extractions galvanic couple, it is characterized in that: each thermocouple connects control station by the signal data line, and control station connects computer by Ethernet, and control station also connects alarming horn.Described control station comprises: I/O signal gathering unit, circuit controls unit, sequence control module, fuzzy neural network unit, logic judgment unit.
The fuzzy neural network unit, the bleed-out judgement of logic judgment unit may further comprise the steps: at first read on-the-spot all data and be input to the inner buffering area of judging, judge preceding 48 seconds data through the fuzzy neural network unit then, whether there is the shape data of setting to occur, just get back to previous step if not, if then enter logic judgment unit, a plurality of rules of setting are judged data, whether have and satisfy the warning appearance of setting, just get back to previous step if not, if with regard to output alarm, set the relevant register position, write down all data of this section period simultaneously, also the ambient parameter of recording setting.Release signal is prepared to detect next time then.
The invention has the beneficial effects as follows: consider the time of sticker type breakout in crystallizer and the transmission and the retardance in space, constructed the space and differentiated the generation that network is differentiated the bleed-out feature.Adjacent 6 temperature data of employing two rows utilizes historical data study and has constructed space differentiation network, the transmission characteristic when the prediction bleed-out takes place, and more reasonable definite more accurately bleed-out feature, thus reach the effect that improves forecast accuracy.Judge stability in order to increase, the present invention has increased logic judgment unit, becomes an example of a logical method and the integrated application of fuzzy neural network judgment models.Both utilized logical method classification interface clearly advantage data are carried out preliminary treatment, utilize the fuzzy neural network judgment models to carry out intelligentized alarm decision again.
Description of drawings:
Fig. 1 is a structural representation of the present invention
Fig. 2 is a program control flow chart of the present invention
The specific embodiment: with reference to Fig. 1, prognostication system for steel leakage of continuous casting sheet billet crystallizer, on the crystallizer steel plate, settle many heat extractions galvanic couple, adopt the adjacent temperature data of two rows at 6, each thermocouple connects control station by the signal data line, control station connects computer by Ethernet, and control station also connects alarming horn.Described control station comprises: I/O signal gathering unit, circuit controls unit, sequence control module, fuzzy neural network unit, logic judgment unit.With reference to Fig. 2, at first read on-the-spot all data and be input to the inner buffering area of judging, judge preceding 48 seconds data through the fuzzy neural network unit then, whether there is the shape data of setting to occur, just get back to previous step if not, if then enter logic judgment unit, a plurality of rules of setting are judged data, whether have and satisfy the warning appearance of setting, just get back to previous step if not,, set the relevant register position if with regard to output alarm, write down all data of this section period simultaneously, also the ambient parameter of recording setting.Release signal is prepared to detect next time then.The present invention adopts logical method and fuzzy neural network to unite judgement, has improved the accuracy rate and the stability of breakout prediction greatly.
Claims (3)
1. a prognostication system for steel leakage of continuous casting sheet billet crystallizer is settled many heat extractions galvanic couple on crystallizer, and it is characterized in that: each thermocouple connects control station by the signal data line, and control station connects computer by Ethernet, and control station also connects alarming horn.
2. prognostication system for steel leakage of continuous casting sheet billet crystallizer according to claim 1 is characterized in that: described control station comprises: I/O signal gathering unit, circuit controls unit, sequence control module, fuzzy neural network unit, logic judgment unit.
3. prognostication system for steel leakage of continuous casting sheet billet crystallizer according to claim 1, it is characterized in that: the fuzzy neural network unit, the bleed-out judgement of logic judgment unit may further comprise the steps: at first read on-the-spot all data and be input to the inner buffering area of judging, judge preceding 48 seconds data through the fuzzy neural network unit then, whether there is the shape data of setting to occur, just get back to previous step if not, if then enter logic judgment unit, a plurality of rules of setting are judged data, whether have and satisfy the warning appearance of setting, just get back to previous step if not, if with regard to output alarm, set the relevant register position, write down all data of this section period simultaneously, also the ambient parameter of recording setting, release signal is prepared to detect next time then.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CNA200710094013XA CN101367114A (en) | 2007-08-14 | 2007-08-14 | Prognostication system for steel leakage of continuous casting sheet billet crystallizer |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CNA200710094013XA CN101367114A (en) | 2007-08-14 | 2007-08-14 | Prognostication system for steel leakage of continuous casting sheet billet crystallizer |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN101367114A true CN101367114A (en) | 2009-02-18 |
Family
ID=40411191
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CNA200710094013XA Pending CN101367114A (en) | 2007-08-14 | 2007-08-14 | Prognostication system for steel leakage of continuous casting sheet billet crystallizer |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN101367114A (en) |
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101934353A (en) * | 2009-06-30 | 2011-01-05 | 上海宝信软件股份有限公司 | Device and method for breakout prediction during slab continuous casting |
| CN102937784A (en) * | 2012-10-30 | 2013-02-20 | 中冶南方工程技术有限公司 | Artificial neural network based method for controlling online prediction of casting billet quality |
| CN105562643A (en) * | 2016-02-03 | 2016-05-11 | 首钢总公司 | Crystallizer bleed-out treatment method |
| CN105689675A (en) * | 2015-07-24 | 2016-06-22 | 安徽工业大学 | Cure control method for continuous casting steel breakout by sticking |
| CN108907129A (en) * | 2018-07-19 | 2018-11-30 | 首钢集团有限公司 | A kind of bleed-out detection device and method |
| WO2020119156A1 (en) * | 2018-12-11 | 2020-06-18 | 大连理工大学 | Casting mold breakout prediction method based on feature vectors and hierarchical clustering |
-
2007
- 2007-08-14 CN CNA200710094013XA patent/CN101367114A/en active Pending
Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101934353A (en) * | 2009-06-30 | 2011-01-05 | 上海宝信软件股份有限公司 | Device and method for breakout prediction during slab continuous casting |
| CN102937784A (en) * | 2012-10-30 | 2013-02-20 | 中冶南方工程技术有限公司 | Artificial neural network based method for controlling online prediction of casting billet quality |
| CN105689675A (en) * | 2015-07-24 | 2016-06-22 | 安徽工业大学 | Cure control method for continuous casting steel breakout by sticking |
| CN105689675B (en) * | 2015-07-24 | 2017-07-28 | 安徽工业大学 | A kind of healing control method of continuous casting bonding steel leakage |
| CN105562643A (en) * | 2016-02-03 | 2016-05-11 | 首钢总公司 | Crystallizer bleed-out treatment method |
| CN108907129A (en) * | 2018-07-19 | 2018-11-30 | 首钢集团有限公司 | A kind of bleed-out detection device and method |
| WO2020119156A1 (en) * | 2018-12-11 | 2020-06-18 | 大连理工大学 | Casting mold breakout prediction method based on feature vectors and hierarchical clustering |
| US11105758B2 (en) | 2018-12-11 | 2021-08-31 | Dalian University Of Technology | Prediction method for mold breakout based on feature vectors and hierarchical clustering |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN101332499B (en) | Slab continuous-casting bleedout forecast control method | |
| CN101367114A (en) | Prognostication system for steel leakage of continuous casting sheet billet crystallizer | |
| US11105758B2 (en) | Prediction method for mold breakout based on feature vectors and hierarchical clustering | |
| CN102151814B (en) | Bonding alarm method and system during continuous casting production | |
| CN103473928B (en) | Based on the urban traffic blocking method of discrimination of RFID technique | |
| CN105522133B (en) | A kind of continuous casting billet bonds the decision method of behavior with copper plate of crystallizer | |
| US5548520A (en) | Breakout prediction system in a continuous casting process | |
| CN103264149B (en) | A kind of method of carrying out the cutting of continuous casting tail billet optimized sizing | |
| CN103639385A (en) | Bleed-out forecasting method and system based on least squares | |
| CN102019393B (en) | Casting body quality judging method and device for continuous casting machine | |
| CN104698937A (en) | Three-dimensional impact recorder and recording method thereof | |
| CN102343427A (en) | Breakout prediction method for slab continuous casting mold based on withdrawal resistance | |
| CN115533059A (en) | Method for optimizing cutting length of casting blank | |
| CN102416456B (en) | Secondary cooling control system for continuous casting of plate blank and method | |
| CN102950268B (en) | Vibration detecting and breakout predication method for continuous casting crystallizer | |
| CN108705058A (en) | A method of forecast Crystallizer bleed-out is clustered based on K-Means | |
| Merten et al. | Effect of slab width on choice of appropriate casting speed in steel production | |
| CN103624236B (en) | Squeeze casting quantitative pouring device and method | |
| JP2012139713A (en) | Method for predicting breakout | |
| US20240085866A1 (en) | Method and device for intelligent control of heating furnace combustion based on a big data cloud platform | |
| Zhou et al. | Online abnormal interval detection and classification of industrial time series data based on multi-scale deep learning | |
| CN201791938U (en) | Steel leakage prediction system of continuous casting crystallizer | |
| CN113369451B (en) | Automatic monitoring method and device for bleed-out in continuous casting production | |
| Xudong et al. | Development of prediction method for abnormalities in slab continuous casting using artificial neural network models | |
| CN203292450U (en) | Novel continuous casting machine crystallizer cooling water automatic control device |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C02 | Deemed withdrawal of patent application after publication (patent law 2001) | ||
| WD01 | Invention patent application deemed withdrawn after publication |
Open date: 20090218 |