CN111168028B - Self-adaptive control method for slab weight based on continuous casting thick plate - Google Patents
Self-adaptive control method for slab weight based on continuous casting thick plate Download PDFInfo
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- CN111168028B CN111168028B CN202010071646.4A CN202010071646A CN111168028B CN 111168028 B CN111168028 B CN 111168028B CN 202010071646 A CN202010071646 A CN 202010071646A CN 111168028 B CN111168028 B CN 111168028B
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B22—CASTING; POWDER METALLURGY
- B22D—CASTING OF METALS; CASTING OF OTHER SUBSTANCES BY THE SAME PROCESSES OR DEVICES
- B22D11/00—Continuous casting of metals, i.e. casting in indefinite lengths
- B22D11/16—Controlling or regulating processes or operations
- B22D11/163—Controlling or regulating processes or operations for cutting cast stock
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Abstract
The technology belongs to the field of automatic control of continuous casting thick plate-to-slab production process, and at present, no patent document related to weight self-adaption of thick plates to slabs exists in the same industry. The slab weight self-adaptive cutting model is researched and developed through an information system, slab weight self-adaptation of a continuous casting machine is realized, the comprehensive yield of thick plates can be effectively improved, an industry-advanced slab cutting precision technology is formed, key parameter acquisition is established, and the influence of online key parameter factors on the slab weight is continuously perfected.
Description
Technical Field
The technology belongs to the field of automatic control of continuous casting thick plate direction production process.
Background
When the slab is continuously cast and cut in a steel plant, a command length value is issued by a system according to a three-dimensional size designed by a plan, and a flame cutting machine performs one-time cutting according to the plan requirement. Then the steel plate is sent to the next process according to the flow direction of the plate blank, and the processes comprise hot rolling, thick plate and the like. The continuous casting blank is used as a raw material inlet of a next process, the cutting precision of the continuous casting blank directly influences the feeding amount of the next process, and the sensitivity of each user point is different according to the settlement difference of end products. Hot rolling line products mainly adopt coil weight delivery, are relatively insensitive to slab weight precision, and a large number of products are produced on a thick plate production line to deal with heavy delivery, so that the weight control precision of a continuous casting mother slab is always very much needed to be concerned. The slab supplied by a steel mill is cut by taking the theoretical size as a target, the influence of the difference of the slab on the weight deviation of the slab is difficult to consider, and therefore, the fluctuation of the weight deviation of the mother slab (the difference between the weighing actual performance of the slab and the target weight of the slab) has great influence on the yield index of the next process. In the traditional slab weight management mode, for continuously improving the three-dimensional size precision, the fluctuation of slab weight deviation is still difficult to eliminate along with the influences of equipment, working conditions, operating skills and the like in the actual production process. The method combines the existing informatization means, and performs appropriate correction on subsequent related slabs according to the weight deviation of the produced slabs, thereby realizing slab weight self-adaptation and reducing the negative influence when the weight positive tolerance is larger. .
Disclosure of Invention
The invention aims to correct the length of a plate blank by a method for calculating weight deviation and adjust the plate blank to an optimal length by a self-learning method.
In order to achieve the purpose, the near-term adaptive control calculation technical scheme adopted by the invention is as follows:
s1: the same CAST and the same steel type group are not B, T billets;
s2: the weight deviation coefficient of the plate blank is E < -1.5%, + 3.0% >; after the weight deviation coefficient of the plate blank is weighing/target weight-1, the compensation value when the current plate blank is cut is considered (subtracted);
s3: weighing the plate blank marked with the mark 1 by the mother blank;
s4: sample screening: selecting a CAST sample which is the same as the newly cut slab;
s5: sample screening: selecting a sample with the absolute value of the theoretical weight of the short ruler blank divided by the target weight minus 1 being less than 3 percent
S6: sample screening: selecting a sample with the weight deviation coefficient of the plate blank within a certain range of the mean value as a final calculation sample
S7: for each sample subjected to sample primary selection, calculating a weight deviation coefficient of a mother blank and a weight deviation coefficient mean value of the existing sample at present, and screening effective samples according to a formula 2;
equation 2: sample value | | | sample mean | | < ═ 0.5%
Eliminating samples which do not meet the calculation formula 2 to ensure that the conditions of the final effective samples meet the formula;
s8: sample determination: on the basis of sample screening, confirming the number of effective samples and calculating a sample average value;
s9: determining an effective weight deviation coefficient according to the number of samples and the sample mean value:
s10: the effective sample n belongs to [0, 3], and compensation calculation is carried out according to the coefficient in the formula 3;
s11: calculating an effective weight deviation coefficient according to a formula 3 by using an effective sample n belonging to [4, 5 ];
s12: calculating an effective weight deviation coefficient according to a formula 4 by using an effective sample n belonging to [6, 7 ];
s13: the effective sample n is more than or equal to 8, and an effective weight deviation coefficient is calculated according to a formula 5;
s14: after the calculation is completed every time, the calculation result is updated to the relevant calculation table so as to facilitate the timely compensation of the model, and the cutting model does not judge and identify the effective sample.
In order to achieve the purpose, the technical scheme of the long-term adaptive control calculation adopted by the invention is as follows:
s1: initially selecting a sample: the steel is divided into the components, flow, thickness and width, the thickness is divided into 0-210, 211-240 and 241-260, and the width is divided into 0-1300, 1301-1500, 1501-1700, 1701-1900, 1901-2100, 2101-2400
S2: and (4) performing fine selection on the primary selection sample collected in the step S1, and meeting the following requirements:
not B, T billets;
the weight deviation coefficient of the plate blank is belonged to-1.5%, + 3.0% >;
thirdly, weighing the plate blank marked with the 1 by the mother blank;
s3: sample target value: the target value of the pipeline steel is set to 0.30 percent, and the target values of low-carbon alloy, alloy-clad steel, alloy-clad alloy, medium carbon, medium-carbon alloy, high carbon and other steel types which are not considered are set to 0.30 percent;
s4: sample determination: on the basis of sample screening, confirming the number of effective samples and calculating a sample average value;
s5: determining an effective weight deviation coefficient according to the number of samples and the average value of the samples;
s6: calculating the effective weight deviation coefficient of the non-pipeline steel according to a formula 6;
s7: the effective weight deviation factor of the non-pipeline steel is calculated according to equation 6.
has the advantages that: at present, the related patent documents of the heavy plate-to-slab weight self-adaption in the same industry do not exist. The slab weight self-adaptive cutting model is researched and developed through an information system, slab weight self-adaptation of a continuous casting machine is realized, the comprehensive yield of thick plates can be effectively improved, an industry-advanced slab cutting precision technology is formed, key parameter acquisition is established, and the influence of online key parameter factors on the slab weight is continuously perfected.
Drawings
Fig. 1 is a flow chart of adaptive control according to the present invention.
Detailed Description
Example (b):
taking 53 billets whose CCNO is 4023291 as an example, the pre-compensation length is 9051mm, the post-compensation length is 8989mm, and the corrected length is 62 mm.
Table 1: the hit rate of the mother blank after production in 2018 in 12 months is increased significantly, and the trend is increased significantly, and the parameter adjustment is more and more significant, and the hit rate is increased to 65% more than dozens of percentage points than the preset 43.7%.
Table 2: the average value of the comprehensive yield after production in 12 months in 2018 is improved by 0.76% compared with the average value before production, and is improved by 0.41% compared with the preset improvement of 0.35%.
TABLE 1 hit rate of the mother blank after 12 months in 2018
Table 2: and the comprehensive yield after production in 12 months in 2018.
Claims (2)
1. A self-adaptive control method for the weight of a slab based on a continuous casting thick plate is characterized by comprising the following steps: the method comprises the following steps:
s1: sample screening: selecting a group with the same CAST, the same flow and the same steel type, and a non-B, T billet;
s2: sample screening: correcting the weight deviation coefficient of the plate blank, which belongs to-1.5%, + 3.0% >; subtracting a compensation value when the current plate blank is cut after the weight deviation coefficient of the plate blank is weighing/target weight-1;
s3: sample screening: weighing the slab marked with the mark 1 in the mother blank;
s4: sample screening: selecting a CAST sample which is the same as the newly cut slab;
s5: sample screening: selecting a sample with the absolute value of the theoretical weight of the short ruler blank divided by the target weight minus 1 being less than 3 percent
S6: sample screening: selecting a sample with the weight deviation coefficient of the plate blank within a certain range of the mean value as a final calculation sample
S7: for each sample subjected to sample primary selection, calculating a weight deviation coefficient of a mother blank and a weight deviation coefficient mean value of the existing sample at present, and screening effective samples according to a formula 2;
equation 2: sample value | | | sample mean | | < ═ 0.5%
Eliminating samples which do not meet the calculation formula 2 to ensure that the conditions of the final effective samples meet the formula;
s8: sample determination: on the basis of sample screening, confirming the number of effective samples and calculating a sample average value;
s9: determining an effective weight deviation coefficient according to the number of samples and the sample mean value:
s10: the effective sample n belongs to [0, 3], and compensation calculation is carried out according to the coefficient in the formula 3;
s11: calculating an effective weight deviation coefficient according to a formula 3 by using an effective sample n belonging to [4, 5 ];
s12: calculating an effective weight deviation coefficient according to a formula 4 by using an effective sample n belonging to [6, 7 ];
s13: the effective sample n is more than or equal to 8, and an effective weight deviation coefficient is calculated according to a formula 5;
s14: after the calculation is completed every time, the calculation result is updated to the relevant calculation table so as to facilitate the timely compensation of the model, and the cutting model does not judge and identify the effective sample.
2. The method of claim 1, wherein the method comprises the following steps: for near-term adaptive control calculations.
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CN109047683A (en) * | 2018-09-03 | 2018-12-21 | 中冶连铸技术工程有限责任公司 | A kind of continuous casting billet is intelligent to reset ruler on-line control system surely |
CN109240203A (en) * | 2018-09-03 | 2019-01-18 | 中冶连铸技术工程有限责任公司 | A kind of continuous casting billets of fixed weight control method based on multi-model |
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CN101387868A (en) * | 2007-09-14 | 2009-03-18 | 上海梅山钢铁股份有限公司 | Strip mill model control system and control method for self-adapting different heating-furnace conditions |
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Publication number | Priority date | Publication date | Assignee | Title |
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JPS53148682A (en) * | 1977-05-31 | 1978-12-25 | Nippon Kokan Kk <Nkk> | Optimalizing system of goods circulation for various lines in iron works |
JPH10235540A (en) * | 1997-02-25 | 1998-09-08 | Nippon Steel Corp | Scheduling system for manufacturing process |
CN105014032A (en) * | 2014-04-29 | 2015-11-04 | 宝山钢铁股份有限公司 | Monitoring system and monitoring method for cutting length abnormity of cast blanks |
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CN106077553A (en) * | 2016-08-12 | 2016-11-09 | 山东朋海节能科技有限公司 | Weighing method is determined in continuous casting steel billet weight Based Intelligent Control diced system and continuous casting steel billet cutting |
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 |
CN109047683A (en) * | 2018-09-03 | 2018-12-21 | 中冶连铸技术工程有限责任公司 | A kind of continuous casting billet is intelligent to reset ruler on-line control system surely |
CN109240203A (en) * | 2018-09-03 | 2019-01-18 | 中冶连铸技术工程有限责任公司 | A kind of continuous casting billets of fixed weight control method based on multi-model |
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