CN201791938U - Steel leakage prediction system of continuous casting crystallizer - Google Patents
Steel leakage prediction system of continuous casting crystallizer Download PDFInfo
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- CN201791938U CN201791938U CN2010205418779U CN201020541877U CN201791938U CN 201791938 U CN201791938 U CN 201791938U CN 2010205418779 U CN2010205418779 U CN 2010205418779U CN 201020541877 U CN201020541877 U CN 201020541877U CN 201791938 U CN201791938 U CN 201791938U
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Abstract
The utility model provides a steel leakage prediction system of a continuous casting crystallizer. A current sensor is connected to a vibration motor, a steel leakage prediction model is set in a crystallizer PLC (Programmable Logic Controller), the current sensor is in communication with the steel leakage prediction model of the crystallizer PLC, and the crystallizer PLC is also connected with a man-machine interface. In the steel leakage prediction model of the crystallizer PLC, the collected motor real-time current signals are classified and reorganized through the database maintenance model and inquired through the model database, and then learned by the neural network module, followed by database optimization; and simultaneously the genetic algorithm module performs the comparison and judgment, displays the results on the man-machine interface and gives warning and record of the over-threshold results. The steel leakage prediction system achieves the purpose of steel leakage prediction by use of frictional force and has extremely-high sensitivity. Particularly, the prediction accuracy is greatly improved through calculation and judgment based on genetic algorithm; and the sensor is apart from the working site and free from environmental interference, thereby ensuring the prediction accuracy.
Description
Technical field
The utility model belongs to the automaton field, relates in particular to a kind of slab caster mould bleed-out situation forecast system based on frictional force.
Background technology
Chinese patent publication number CN200710093907.7 provides a kind of sheet billet continuous casting breakout prediction control method, settles many heat extractions galvanic couple on crystallizer, carries out pouncing on of representative temperature feature and catches: the representative temperature feature of determining each thermocouple; Determining of bleed-out probability: determine each thermocouple bleed-out probability; Casting rate control:, stop casting when thermocouple bleed-out probability reaches 95%.
Chinese patent publication number CN200710094013.X discloses a kind of prognostication system for steel leakage of continuous casting sheet billet crystallizer, on crystallizer, settle many heat extractions galvanic couple, each thermocouple connects control station by the signal data line, the control station that comprises I/O signal gathering unit, circuit controls unit, sequence control module, fuzzy neural network unit, logic judgment unit connects computer by Ethernet, and control station also connects alarming horn.
More than two kinds of inventions mainly be to detect liquid steel temperature by thermocouple in the crystallizer, reach the purpose of breakout prediction by the variation in temperature field, and the strand variations in temperature is a kind of big inertia, large time delay and highly nonlinearized process in the crystallizer, bleed-out is the result of anomaly such as bonding accumulation, the warning that temperature bleed-out warning system is done comes down to a kind of detection to bleed-out, and the quality of strand has been subjected to king-sized influence when temperature system is reported to the police.But variation has just taken place in the active force of most of bleed-out phenomenon between strand before a few minutes and crystallizer, and just temperature system also can't detect this variation.
Summary of the invention
The purpose of this utility model is exactly at the problems referred to above, provides a kind of simple, reliable and practical, judges by monitoring, calculating and comparison to frictional force between crystallizer and strand, realizes the bleed-out situation is shown the Adaptable System of forecast.
For this reason, the solution taked of the utility model is:
A kind of continuous cast mold breakout prediction system, involving vibrations motor and crystallizer programmable logic control system (crystallizer PLC), it is characterized in that, on vibrating motor, be connected with current sensor, add the breakout prediction model among the crystallizer PLC, current sensor and the communication of crystallizer PLC breakout prediction model, crystallizer PLC also is connected with man-machine interface.
Described breakout prediction model comprises database maintenance module, neural network module and genetic algorithm module.
The course of work of the present utility model and beneficial effect are:
The current sensor that the utility model utilization is connected on the vibrating motor sends motor real-time current signal to crystallizer PLC by the signal data line, breakout prediction model in the crystallizer PLC is with the motor real-time current signal process database maintenance module classified finishing and the model data library searching of collecting, with existing the information of identical data to import neural network module, learn and data base optimization by neural network module.Simultaneously, genetic algorithm module compares, judges the identical data that enters according to predefined deviation standard value, and the result is presented on the man-machine interface, to then being reported to the police and record of overshoot scope.
In the casting process; improper when the covering slag that uses, the covering slag fusion is undesirable or when carrying out other abnormal operations; cause the direct effect of base shell and crystallizer inwall; frictional force between crystallizer and the strand just responds at once, thus frictional force to the reaction of bleed-out than temperature many to the reaction sensitivity of bleed-out.Before most of bleed-out situations took place, frictional force all will shift to an earlier date 3-5 minute made a response, and therefore utilized frictional force to carry out breakout prediction, and its sensitivity is higher.For preventing wrong report, the utility model employing genetic algorithm is calculated and is judged, has greatly improved the accuracy of forecast, and because sensor is installed in electric panel room, away from operation site, has avoided the interference of adverse circumstances, has guaranteed accuracy of the forecast.
Description of drawings
Accompanying drawing is a continuous cast mold breakout prediction system architecture diagram.
The specific embodiment
By continuous cast mold breakout prediction system architecture diagram as seen, the continuous cast mold breakout prediction system of the utility model, utilize original vibrating motor and crystallizer programmable logic control system (crystallizer PLC), simultaneously vibrating motor is connected current sensor, in crystallizer PLC, add the breakout prediction model, and man-machine interface is set in terminal, comprise database maintenance module, neural network module and genetic algorithm module in the breakout prediction model.
The connected mode of this continuous cast mold breakout prediction system is: the current sensor that is installed in electric panel room is connected with vibrating motor, and current sensor is connected with crystallizer PLC simultaneously, and crystallizer PLC also is connected with man-machine interface.
Claims (2)
1. continuous cast mold breakout prediction system, involving vibrations motor and crystallizer programmable logic control system are crystallizer PLC, it is characterized in that, current sensor is installed on vibrating motor, add the breakout prediction model among the crystallizer PLC, current sensor and the communication of crystallizer PLC breakout prediction model, crystallizer PLC also is connected with man-machine interface.
2. continuous cast mold breakout prediction according to claim 1 system is characterized in that described breakout prediction model comprises database maintenance module, neural network module and genetic algorithm module.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN2010205418779U CN201791938U (en) | 2010-09-26 | 2010-09-26 | Steel leakage prediction system of continuous casting crystallizer |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN2010205418779U CN201791938U (en) | 2010-09-26 | 2010-09-26 | Steel leakage prediction system of continuous casting crystallizer |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN201791938U true CN201791938U (en) | 2011-04-13 |
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| Application Number | Title | Priority Date | Filing Date |
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| CN2010205418779U Expired - Fee Related CN201791938U (en) | 2010-09-26 | 2010-09-26 | Steel leakage prediction system of continuous casting crystallizer |
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102252783A (en) * | 2011-06-21 | 2011-11-23 | 北京首钢自动化信息技术有限公司 | Installation and detection method of MoldExpert thermocouple |
| CN102688995A (en) * | 2012-06-13 | 2012-09-26 | 鞍钢股份有限公司 | Parameter control method for vibrating table of continuous casting crystallizer |
| CN105328155A (en) * | 2015-10-08 | 2016-02-17 | 东北电力大学 | Steel leakage visualized characteristic forecasting method based on improved neural network |
-
2010
- 2010-09-26 CN CN2010205418779U patent/CN201791938U/en not_active Expired - Fee Related
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102252783A (en) * | 2011-06-21 | 2011-11-23 | 北京首钢自动化信息技术有限公司 | Installation and detection method of MoldExpert thermocouple |
| CN102688995A (en) * | 2012-06-13 | 2012-09-26 | 鞍钢股份有限公司 | Parameter control method for vibrating table of continuous casting crystallizer |
| CN102688995B (en) * | 2012-06-13 | 2013-12-11 | 鞍钢股份有限公司 | Parameter control method for vibrating table of continuous casting crystallizer |
| CN105328155A (en) * | 2015-10-08 | 2016-02-17 | 东北电力大学 | Steel leakage visualized characteristic forecasting method based on improved neural network |
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Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C14 | Grant of patent or utility model | ||
| GR01 | Patent grant | ||
| CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20110413 Termination date: 20160926 |
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| CF01 | Termination of patent right due to non-payment of annual fee |