CN105486831A - Steel coil quality detection system - Google Patents
Steel coil quality detection system Download PDFInfo
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- CN105486831A CN105486831A CN201510807547.7A CN201510807547A CN105486831A CN 105486831 A CN105486831 A CN 105486831A CN 201510807547 A CN201510807547 A CN 201510807547A CN 105486831 A CN105486831 A CN 105486831A
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Abstract
The invention provides a steel coil quality detection system. The steel coil quality detection system implements the following steps: acquiring production process data of a steel coil, steel coil surface detection data and production plan data; establishing a steel coil surface defect determination standard database, a steel coil surface defect determination grade definition list, a process parameter determination standard database and a process quality grade definition list; determining the steel coil surface detection data according to the steel coil surface defect determination standard database and the steel coil surface defect determination grade definition list so as to obtain a first quality result; determining the production process data according to the process parameter determination standard database and the process quality grade definition list so as to obtain a second quality result; and determining the first quality result and the second quality result so as to obtain a comprehensive grade configuration table. Thus, the quality of the whole steel coil is determined; and steel coil quality problems can be spotted in time by positioning the surface defects of the steel coil, so scrapping of the whole steel coil due to local surface defects of the steel coil is prevented and product quality is improved.
Description
Technical field
The invention belongs to the technical field of metallurgy industry information automation, particularly relate to a kind of coil of strip quality detecting system.
Background technology
Quality management is the core of metallurgy industry production management, and tradition utilizes manually carries out to finished products the demand that sampling observation mode cannot adapt to product and quality completely.
In recent years, along with developing rapidly of automatization level, the development of steel industry infosystem at different levels is swift and violent, such as, Enterprise Resources Planning (ERP, EnterpriseResourcePlanning) system, manufacturing execution system (MES, ManufacturingExecutionSystem) system, based on production operation systems such as automation control systems.Although it is a large amount of that these systems are that supvr at different levels provides, complete integrated data.But utilize the data in production system to carry out quality inspection and also there is many deficiencies: such as, cannot carry out the inspection of volume volume to each product, quality inspection is not comprehensive; Prevention and corntrol cannot be carried out in process of production to product; During coil of strip Surface testing, the grading of defect is also rested in the classic method of artificial experience, there is no the detection method of the quantification of science; Defective product is difficult to the reason tracked from result production run; Sentence in waste have a lot of just at certain section of existing defects, but cut position cannot be clear and definite, cause the discarded or artificial uncoiling of entire volume, cause economic loss and manpower waste.
Based on this, need a kind of system can carrying out online judgement for the defective locations of coil of strip and Quality Grade at present badly, to solve the problem.
Summary of the invention
For prior art Problems existing, embodiments provide a kind of coil of strip quality detecting system, quantification detection cannot be carried out to coil of strip quality in process of production for solving in prior art, can not position the concrete defective locations in coil of strip surface, causing cannot online to the technical matters that coil of strip quality judges.
Of the present inventionly provide a kind of coil of strip quality detecting system, described system comprises:
Data acquisition module, described data acquisition module is used for the production process data of Real-time Collection coil of strip, coil of strip Surface testing data and production schedule data;
Quality judging standard module, described quality judging standard module is used for setting up coil of strip surface imperfection criterion storehouse, coil of strip surface imperfection judges tier definition table, procedure parameter criterion storehouse and procedure quality tier definition table;
Quality management module, described quality management module is used for judging that tier definition table judges described coil of strip Surface testing data according to described coil of strip surface imperfection criterion storehouse and described coil of strip surface imperfection, obtains the first quality results;
According to described procedure parameter criterion storehouse and described procedure quality tier definition table, described production process data is judged, obtain the second quality results;
Synthetic determination module, described synthetic determination module is used for judging described first quality results and described second quality results, obtains the integrated level allocation list of described coil of strip quality.
In such scheme, described production process data comprises: steel roll temperature, thickness, speed, flatness, convexity, wedge shape, extensibility.
In such scheme, described coil of strip Surface testing data comprise: defect classification, defective locations, area, number.
In such scheme, described production schedule data comprise: the sequence information of coil of strip, steel grade, model, thickness, width target upper lower limit value.
In such scheme, described quality management module is used for judging that tier definition table judges described coil of strip Surface testing data according to described coil of strip surface imperfection criterion storehouse and described coil of strip surface imperfection, obtains the first quality results and specifically comprises:
Described quality management module traversal needs the defect classification judged, according to the sequence information of coil of strip and steel grade information stating the criterion of coil of strip surface imperfection criterion library lookup surface imperfection, calculates the first defect level according to described surface imperfection criterion; Judge that the quality grade of described Surface testing data determined by tier definition table according to described first defect level and described coil of strip surface imperfection.
In such scheme, described quality management module judges described production process data according to described procedure parameter criterion storehouse and described procedure quality tier definition table, obtains the second quality results and specifically comprises:
All parameter process points of described quality management module traversal production process data, according to the range calibration process time of coil of strip production time, real-time speed, kink amount and coil of strip and outlet, obtain the production run real time data in the time period after calibrating;
According to the sequence information of coil of strip and steel grade information in the criterion of described procedure parameter criterion library lookup procedure parameter, calculate the second defect level in production run real time data according to described procedure parameter criterion, time that described second defect level occurs and the position that described second defect level occurs; The quality grade of described production process data determined by the position occurred according to described second defect level, described second defect level and described procedure quality tier definition table.
In such scheme, described quality management module is also for setting up coil of strip surface imperfection result table, procedure parameter quality results table and defective locations information table.
In such scheme, after described quality management module calculates the first defect level according to described surface imperfection criterion, also for: by described first defect level stored in surface imperfection result table.
In such scheme, described quality management module according to described procedure parameter criterion record second defect level, described second defect level occur time and described second defect level occur position after, also for:
The position that the time occur the number of described second defect level, described second defect level and described second defect level occur is stored in defective locations information table.
The invention provides a kind of coil of strip quality detecting system, described system comprises: data acquisition module, and described data acquisition module is used for the production process data of Real-time Collection coil of strip, coil of strip Surface testing data and production schedule data; Quality judging standard module, described quality judging standard module is used for setting up coil of strip surface imperfection criterion storehouse, coil of strip surface imperfection judges tier definition table, procedure parameter criterion storehouse and procedure quality tier definition table; Quality management module, described quality management module is used for judging that tier definition table judges described coil of strip Surface testing data according to described coil of strip surface imperfection criterion storehouse and described coil of strip surface imperfection, obtains the first quality results; According to described procedure parameter criterion storehouse and described procedure quality tier definition table, described production process data is judged, obtain the second quality results; Synthetic determination module, described synthetic determination module is used for judging described first quality results and described second quality results, obtains the integrated level allocation list of described coil of strip quality; So, quality standard and working specification are carried out quantification treatment, just can judge entire volume steel quality when product just rolls off the production line, achieve comprehensive inspection of coil of strip quality.Can locate coil of strip surface defect positions simultaneously, contribute to Timeliness coverage coil of strip quality problems, avoid, because coil of strip surface local location defect causes sentencing of whole coil of strip useless, reducing rejection number, improving the quality of products.
Accompanying drawing explanation
The coil of strip quality detecting system one-piece construction schematic diagram that Fig. 1 provides for the embodiment of the present invention;
The interface schematic diagram of the inquiry coil of strip quality that Fig. 2 provides for the embodiment of the present invention.
Embodiment
Detect in order to quantification can be carried out to coil of strip quality in process of production, the concrete defective locations in coil of strip surface is positioned, coil of strip quality is judged online, the invention provides a kind of coil of strip quality detecting system, described system comprises: data acquisition module, and described data acquisition module is used for the production process data of Real-time Collection coil of strip, coil of strip Surface testing data and production schedule data; Quality judging standard module, described quality judging standard module is used for setting up coil of strip surface imperfection criterion storehouse, coil of strip surface imperfection judges tier definition table, procedure parameter criterion storehouse and procedure quality tier definition table; Quality management module, described quality management module is used for judging that tier definition table judges described coil of strip Surface testing data according to described coil of strip surface imperfection criterion storehouse and described coil of strip surface imperfection, obtains the first quality results; According to described procedure parameter criterion storehouse and described procedure quality tier definition table, described production process data is judged, obtain the second quality results; Synthetic determination module, described synthetic determination module is used for judging described first quality results and described second quality results, obtains the integrated level allocation list of described coil of strip quality.
Below by drawings and the specific embodiments, technical scheme of the present invention is described in further detail.
The present embodiment provides a kind of coil of strip quality detecting system, and as shown in Figure 1, described system comprises: data acquisition module 1, quality judging standard module 2, quality management module 3 and synthetic determination module 4; Wherein,
Described data acquisition module 1 is for the production process data of Real-time Collection coil of strip, coil of strip Surface testing data and production schedule data.
Particularly, the production process data that described data acquisition module 1 Real-time Collection quality judging needs and coil of strip Surface testing data, by described production process data and coil of strip Surface testing data storing in database server.Described production process data comprises: steel roll temperature, thickness, speed, flatness, convexity, wedge shape, extensibility etc.; Described coil of strip Surface testing data comprise: defect classification, defective locations, area, number.
In addition, described data acquisition module 1 gathers the production schedule data in MES system by data-interface, and by described production schedule data storing in database server; Described production schedule data comprise: the sequence information of coil of strip, steel grade, model, thickness, width target upper lower limit value; Described data-interface is set up in advance, can comprise: PLC technology logic controller (PLC, ProgrammableLogicController) interface; Described database server can comprise sql database server.
After described data acquisition module 1 collects production process data and coil of strip Surface testing data, described quality judging standard module 2 specifically for: set up coil of strip surface imperfection criterion storehouse, coil of strip surface imperfection judge tier definition table, procedure parameter criterion storehouse and procedure quality tier definition table.
Particularly, described quality judging standard module 2 sets up coil of strip surface imperfection criterion storehouse according to the sequence information of coil of strip, steel grade information, described coil of strip surface imperfection criterion storehouse carries out defect rank quantification according to company standard according to the defect number on coil of strip surface and area effects on surface defect, and described surface imperfection criterion storehouse is as shown in table 1; Wherein, described coil of strip surface imperfection criterion storehouse comprises the criterion of multiple coil of strip surface imperfection, during concrete utilization, and the standard that can need according to sequence information and steel grade information searching.In coil of strip surface imperfection criterion storehouse, the corresponding defect rank of each defect classification, described defect rank is as shown in table 2, and defect rank comprises: G1, G2, G3, G4, G5, G6 ... Gn grade.Describedly represent coil of strip surface quality by good to secondary by G1 to Gn; Described defect classification comprises: hole, stick up skin, to scab and foreign matter, iron scale, limit are split and roll marks etc.
Table 1
Table 2
| Sequence number | Defect classification call number | G1 | G2 | G3 | G4 | G5 | G6 |
Further, described quality judging standard module 2 is according to user's sequence information and steel grade information process of establishing parameter decision java standard library and procedure quality tier definition table, and the fluctuation of implementation procedure parameter is to the conversion of process quality results.Wherein, described procedure parameter criterion storehouse is as shown in table 3, can formulate according to the ratio of the overproof standard lines of curve; Described procedure quality tier definition table is as shown in table 4, comprising: P1, P2, P3, P4, P5, P6 ... Pn grade; Wherein, coil of strip quality is represented by good to secondary by P1 to Pn.
Table 3
Table 4
After described quality judging standard module 2 sets up coil of strip surface imperfection criterion storehouse, coil of strip surface imperfection judgement tier definition table, procedure parameter criterion storehouse and procedure quality tier definition table, described quality management module 3, for judging that tier definition table judges described coil of strip Surface testing data according to described coil of strip surface imperfection criterion storehouse and described coil of strip surface imperfection, obtains the first quality results; According to described procedure parameter criterion storehouse and described procedure quality tier definition table, described production process data is judged, obtain the second quality results.Wherein, the grade of described first quality results is divided into S1, S2, S3, S4, S5, S6 ... Sn.
Particularly, detect in the decision process of data at effects on surface, described quality management module 3 travels through the defect classification needing to judge, read Surface testing data, according to the sequence information of coil of strip and steel grade information stating the criterion of coil of strip surface imperfection criterion library lookup surface imperfection, judge whether described Surface testing data meet criterion, if met, it is qualified then to judge, quality grade is designated as S1; If do not met, then calculate the number of the first defect level according to described surface imperfection criterion; By the number of described first defect level stored in surface imperfection result table, then contrast according to the number of described first defect level defect rank and the quality grade that described Surface testing data determined by described coil of strip surface imperfection judgement tier definition table.
Further, to in the decision process of production process data, first described quality management module 3 travels through all parameter process points of production process data, according to the range calibration process time of coil of strip production time, real-time speed, kink amount and coil of strip and outlet, obtain the production run real time data in the time period after calibration;
Secondly according to the sequence information of coil of strip and steel grade information in the criterion of described procedure parameter criterion library lookup procedure parameter, judge whether production run real time data meets standard, if met, it is qualified then to judge, quality grade is designated as P1, if defective, then according to the position that the number of the second defect level, the time of described second defect level appearance and described second defect level in described procedure parameter criterion calculating production run real time data occur; The quality grade of described production process data determined by the position occurred according to the number of described second defect level, described second defect level and described procedure quality tier definition table.And the position occurred by described second defect level is stored in described defective locations information table.
Wherein, when calculating the defective locations of the second defect level in production process of steel coil real time data, due to the special nature that coil of strip is produced, the overall deviation of quality end to end, can not consider the defect situation of 5-10 rice end to end.
In addition, after described quality management module 3 gets the first quality results and the second quality results, also for setting up coil of strip surface imperfection result table, procedure parameter quality results table and defective locations information table, described first quality results stored in described surface imperfection result table, by described second quality results stored in described procedure parameter quality results table.Wherein, described defective locations information table is as shown in table 5.
Table 5
After described quality management module 3 gets the first quality results and the second quality results, described synthetic determination module 4 for: described first quality results and described second quality results are judged, by described first quality results and described second quality results one_to_one corresponding, obtain the integrated level allocation list of described coil of strip quality; Described integrated level allocation list is the final mass result of coil of strip, and described integrated level allocation list is as shown in table 6.
Table 6
Further, this system can work out coil of strip result of determination and defective locations information report according to user's request, and user is by data query query site coil of strip quality judging result, defect rank and defective locations.
Such as, as shown in Figure 2, user logs on query interface, query interface inputs coil of strip number, plant area, region, start time and end time can inquire the technique information of this coil of strip within this time period.
During practical application, described data acquisition module 1, described quality judging standard module 2, described quality management module 3 and described synthetic determination module 4 can by the central processing unit (CPU in system, CentralProcessingUnit), digital signal processor (DSP, DigtalSignalProcessor), programmable logic array (FPGA, FieldProgrammableGateArray), micro-control unit (MCU, MicroControllerUnit) realizes.
The coil of strip quality detecting system that the embodiment of the present invention provides, carries out quantification treatment by quality standard and working specification, just can judge entire volume steel quality when product just rolls off the production line, and achieves comprehensive inspection of coil of strip quality.Can locate coil of strip surface defect positions simultaneously, contribute to Timeliness coverage coil of strip quality problems, avoid, because coil of strip surface local location defect causes sentencing of whole coil of strip useless, reducing rejection number, improving the quality of products.And can monitor in real time production process data, not only can judge the quality of final products, supervisory role can be played to the stability of process device parameter simultaneously, so that Timeliness coverage quality problems or abnormal conditions, can adjust in time coil of strip technique after this, guarantee product quality.
The above, be only preferred embodiment of the present invention, be not intended to limit protection scope of the present invention, and all any amendments done within the spirit and principles in the present invention, equivalent replacement and improvement etc., all should be included within protection scope of the present invention.
Claims (9)
1. a coil of strip quality detecting system, is characterized in that, described system comprises:
Data acquisition module, described data acquisition module is used for the production process data of Real-time Collection coil of strip, coil of strip Surface testing data and production schedule data;
Quality judging standard module, described quality judging standard module is used for setting up coil of strip surface imperfection criterion storehouse, coil of strip surface imperfection judges tier definition table, procedure parameter criterion storehouse and procedure quality tier definition table;
Quality management module, described quality management module is used for judging that tier definition table judges described coil of strip Surface testing data according to described coil of strip surface imperfection criterion storehouse and described coil of strip surface imperfection, obtains the first quality results;
According to described procedure parameter criterion storehouse and described procedure quality tier definition table, described production process data is judged, obtain the second quality results;
Synthetic determination module, described synthetic determination module is used for judging described first quality results and described second quality results, obtains the integrated level allocation list of described coil of strip quality.
2. the system as claimed in claim 1, is characterized in that, described production process data comprises: steel roll temperature, thickness, speed, flatness, convexity, wedge shape, extensibility.
3. the system as claimed in claim 1, is characterized in that, described coil of strip Surface testing data comprise: defect classification, defective locations, area, number.
4. the system as claimed in claim 1, is characterized in that, described production schedule data comprise: the sequence information of coil of strip, steel grade, model, thickness, width target upper lower limit value.
5. the system as claimed in claim 1, it is characterized in that, described quality management module is used for judging that tier definition table judges described coil of strip Surface testing data according to described coil of strip surface imperfection criterion storehouse and described coil of strip surface imperfection, obtains the first quality results and specifically comprises:
Described quality management module traversal needs the defect classification judged, according to the sequence information of coil of strip and steel grade information stating the criterion of coil of strip surface imperfection criterion library lookup surface imperfection, calculates the first defect level according to described surface imperfection criterion; Judge that the quality grade of described Surface testing data determined by tier definition table according to described first defect level and described coil of strip surface imperfection.
6. the system as claimed in claim 1, is characterized in that, described quality management module judges described production process data according to described procedure parameter criterion storehouse and described procedure quality tier definition table, obtains the second quality results and specifically comprises:
All parameter process points of described quality management module traversal production process data, according to the range calibration process time of coil of strip production time, real-time speed, kink amount and coil of strip and outlet, obtain the production run real time data in the time period after calibrating;
According to the sequence information of coil of strip and steel grade information in the criterion of described procedure parameter criterion library lookup procedure parameter, calculate the second defect level in production run real time data according to described procedure parameter criterion, time that described second defect level occurs and the position that described second defect level occurs; The quality grade of described production process data determined by the position occurred according to described second defect level, described second defect level and described procedure quality tier definition table.
7. the system as described in claim 5 or 6, is characterized in that, described quality management module is also for setting up coil of strip surface imperfection result table, procedure parameter quality results table and defective locations information table.
8. system as claimed in claim 5, is characterized in that, after described quality management module calculates the first defect level according to described surface imperfection criterion, also for: by described first defect level stored in surface imperfection result table.
9. system as claimed in claim 6, is characterized in that, behind the time that described quality management module occurs according to described procedure parameter criterion record second defect level, described second defect level and the position that described second defect level occurs, also for:
The position that the time occur the number of described second defect level, described second defect level and described second defect level occur is stored in defective locations information table.
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Cited By (14)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107607687A (en) * | 2017-09-05 | 2018-01-19 | 北京首钢冷轧薄板有限公司 | It is a kind of be used for Strip whether the method, apparatus that defect is judged |
| CN108227664A (en) * | 2018-02-05 | 2018-06-29 | 华侨大学 | Control of product quality equipment and method of quality control based on sample data training |
| CN108629465A (en) * | 2017-03-15 | 2018-10-09 | 上海乐钢供应链股份有限公司 | A kind of coil of strip slitting flow quality control method |
| CN109754137A (en) * | 2017-11-03 | 2019-05-14 | 钢铁研究总院 | Determine the quality of steel material product and/or the method and apparatus of grade |
| CN110175274A (en) * | 2019-05-22 | 2019-08-27 | 山西太钢不锈钢股份有限公司 | Defect system method and system based on table inspection instrument |
| CN110320337A (en) * | 2019-06-05 | 2019-10-11 | 广州Jfe钢板有限公司 | A kind of automatic evaluating system of strip surface quality and method |
| CN110400099A (en) * | 2019-08-09 | 2019-11-01 | 马鞍山钢铁股份有限公司 | A kind of belt steel product surface quality stage division |
| CN110412040A (en) * | 2019-08-01 | 2019-11-05 | 宁波兰羚钢铁实业有限公司 | A kind of packaging unit coil data tracking system and method based on Beidou navigation |
| CN110989510A (en) * | 2019-11-12 | 2020-04-10 | 邯郸钢铁集团有限责任公司 | Hot galvanizing product full-process quality control and grade automatic judgment system |
| CN111299318A (en) * | 2020-03-02 | 2020-06-19 | 马鞍山钢铁股份有限公司 | Automatic determination method for surface quality of hot-rolled plate strip product |
| CN111353694A (en) * | 2020-02-21 | 2020-06-30 | 湖南华菱涟源钢铁有限公司 | Steel coil quality detection method and device, terminal equipment and storage medium |
| CN111366702A (en) * | 2020-03-24 | 2020-07-03 | 包头钢铁（集团）有限责任公司 | Online intelligent accurate slitting system and online intelligent accurate slitting method for non-oriented silicon steel |
| CN113344730A (en) * | 2021-06-04 | 2021-09-03 | 北京首钢股份有限公司 | Strip steel disposal system and method |
| CN113670941A (en) * | 2021-08-30 | 2021-11-19 | 宝钢湛江钢铁有限公司 | Method for online quantitative evaluation of oxidation color defects on surface of multifunctional continuous annealing strip steel |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2006275802A (en) * | 2005-03-29 | 2006-10-12 | Nippon Steel Corp | Method and device for inspecting defect |
| CN101393228A (en) * | 2008-10-31 | 2009-03-25 | 武汉钢铁(集团)公司 | Steel coil quality analysis system of steel coil production line |
| JP4365536B2 (en) * | 2001-02-19 | 2009-11-18 | Ｊｆｅスチール株式会社 | Steel production process abnormality judgment device |
| CN104751288A (en) * | 2015-03-30 | 2015-07-01 | 北京首钢自动化信息技术有限公司 | Segment-based multi-dimensional online quality evaluation system and method for steel coils |
-
2015
- 2015-11-19 CN CN201510807547.7A patent/CN105486831B/en active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP4365536B2 (en) * | 2001-02-19 | 2009-11-18 | Ｊｆｅスチール株式会社 | Steel production process abnormality judgment device |
| JP2006275802A (en) * | 2005-03-29 | 2006-10-12 | Nippon Steel Corp | Method and device for inspecting defect |
| CN101393228A (en) * | 2008-10-31 | 2009-03-25 | 武汉钢铁(集团)公司 | Steel coil quality analysis system of steel coil production line |
| CN104751288A (en) * | 2015-03-30 | 2015-07-01 | 北京首钢自动化信息技术有限公司 | Segment-based multi-dimensional online quality evaluation system and method for steel coils |
Non-Patent Citations (1)
| Title |
|---|
| 孙静全 等: "表面检测系统在热轧不锈钢质量改进中的应用研究", 《第八届( 2011 )中国钢铁年会论文集》 * |
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| CN107607687A (en) * | 2017-09-05 | 2018-01-19 | 北京首钢冷轧薄板有限公司 | It is a kind of be used for Strip whether the method, apparatus that defect is judged |
| CN109754137A (en) * | 2017-11-03 | 2019-05-14 | 钢铁研究总院 | Determine the quality of steel material product and/or the method and apparatus of grade |
| US11209414B2 (en) | 2017-11-03 | 2021-12-28 | Central Iron And Steel Research Institute | Method for determining quality level of iron and steel product |
| CN108227664A (en) * | 2018-02-05 | 2018-06-29 | 华侨大学 | Control of product quality equipment and method of quality control based on sample data training |
| CN110175274A (en) * | 2019-05-22 | 2019-08-27 | 山西太钢不锈钢股份有限公司 | Defect system method and system based on table inspection instrument |
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| CN110989510A (en) * | 2019-11-12 | 2020-04-10 | 邯郸钢铁集团有限责任公司 | Hot galvanizing product full-process quality control and grade automatic judgment system |
| CN111353694A (en) * | 2020-02-21 | 2020-06-30 | 湖南华菱涟源钢铁有限公司 | Steel coil quality detection method and device, terminal equipment and storage medium |
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| CN111366702A (en) * | 2020-03-24 | 2020-07-03 | 包头钢铁（集团）有限责任公司 | Online intelligent accurate slitting system and online intelligent accurate slitting method for non-oriented silicon steel |
| CN113344730A (en) * | 2021-06-04 | 2021-09-03 | 北京首钢股份有限公司 | Strip steel disposal system and method |
| CN113670941A (en) * | 2021-08-30 | 2021-11-19 | 宝钢湛江钢铁有限公司 | Method for online quantitative evaluation of oxidation color defects on surface of multifunctional continuous annealing strip steel |
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