CN104751288A - Segment-based multi-dimensional online quality evaluation system and method for steel coils - Google Patents
Segment-based multi-dimensional online quality evaluation system and method for steel coils Download PDFInfo
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Abstract
The invention belongs to the technical field of metallurgical industry manufacturing and informationization of the metallurgical industry and relates to a segment-based multi-dimensional online quality evaluation system and method for steel coils. production process data and surface detection data for use in quality evaluation are acquired through a data interface; when a steel coil is off a line, the steel coil is divided into a plurality of segments along the length; the acquired data are read; according to business rules and product quality standards, process and surface defect quality results are separately judged; comprehensive level of each segment and quality level of the steel coil are finally acquired. Primary secondary process parameters and instrument defect information are acquired, and the production process data is maximally integrated; the business quality standards and control plan operation procedures are quantitatively and systematically processed, segment-based dimensional evaluation is performed at the moment when products are off the line, comprehensive inspection of the steel coil is achieved, labor for data collection is freed, quality inspectors can be helped to find quality problems in time so as to make following treatment, and product quality and enterprise economic benefit are finally improved.
Description
Technical field
The invention belongs to metallurgy industry manufacture and informationization technology field, particularly relate to the online quality judging system and method for a kind of coil of strip segmentation multidimensional.
Background technology
Quality management is the core of metallurgic product production management, has and leads effect that starts whole body.Traditional Man production and the quality requirement that sampling observation mode cannot adapt to product is completely carried out to finished products.In recent years, the existing infosystem development at different levels of steel industry is swift and violent, and mainly comprise the production operation sexual system such as ERP system, MES system, Basic automation control system, these systems are that supvr at different levels provides a large amount of, complete basic data.But, carry out quality inspection by production system and be generally " after death autopsy " type, be i.e. output inspection.These methods of inspection exist manyly treats drawback and place to be modified:
1. cannot carry out the inspection of volume volume to each product, quality inspection is not comprehensive.
2. cannot carry out prevention and corntrol in process of production, belong to non-value-added activity, be low-quality cost.
3. also resting on hardware check to the grading of defect during Surface testing adds in the classic method of artificial experience, does not have the detection method of the quantification of science.
4. sentence in waste have a lot of just at certain section of existing defects, but cut position cannot be clear and definite, the discarded or artificial uncoiling of most of the time entire volume, causes economic loss and manpower waste.
For Problems existing in above-mentioned quality judging business, the present invention proposes a kind of method of coil of strip being carried out to the online quality judging of segmentation various dimensions, solves above problem.
Summary of the invention
The object of the present invention is to provide a kind of for the online quality judging system and method for coil of strip segmentation multidimensional.Production process data when being judged by data-interface acquisition quality and Surface testing data, when coil of strip rolls off the production line, coil of strip is divided into some sections along volume is long, read the data gathered, judge the quality results of each section of internal procedure and surface imperfection according to business rule and target level of product quality respectively, finally determine the integrated level of each section and the quality grade of coil of strip.
A kind of online quality judging system of coil of strip segmentation multidimensional that is used for comprises mass parameter acquisition module, business rule modular converter, synthetic determination hierarchical management module, segmentation quality judging module.Business rule modular converter comprises surface imperfection business rule modular converter and procedure parameter business rule modular converter.Described segmentation quality judging module is connected with procedure parameter business rule modular converter with mass parameter acquisition module, synthetic determination hierarchical management module, surface imperfection business rule modular converter respectively; Synthetic determination hierarchical management module is connected with procedure parameter business rule modular converter with surface imperfection business rule modular converter.
1. mass parameter acquisition module: gather the data such as steel roll temperature, width, coil of strip number, steel grade, thickness, width desired value upper lower limit value, defect type, position, area, number, the order of severity; As the data of the coil of strip such as temperature, width by can constantly change during milling train; Connect a secondary server and gather production process data, set up interface and gather coil of strip sequence information in MES system, as coil of strip number, steel grade, thickness, width desired value upper lower limit value etc.; Surface imperfection data in data in field instrument equipment (thicknessmeter, template instrument) and surface detecting system, as defect type, position, area, number, the order of severity etc.
Surface imperfection business rule modular converter: the decision rule of definition list planar defect, definition list planar defect range of control can be carried out according to different client, steel grade, by the defect classification of each steel clock, defect rank, defect class weight one_to_one corresponding, form the surperficial decision rule grade table of comparisons, the defect weight table of comparisons and defect level and the quality results table of comparisons, surface imperfection is converted into and can quantizes measurable judgment basis.Specific practice is as follows:
Defect classification adds up to r, (classification comprises hole to defect classification Ar, stick up skin, scab and foreign matter, iron scale, while split, scale mark, roll marks etc.), (grade is G=1 respectively for each defect classification defectiveness grade G, 2 n, from 1 to n representative products surface quality by getting well to secondary, the definition of grade is according to product material and purposes, user's particular/special requirement etc. has different decision rules, form the decision rule grade table of comparisons), defect class weight Kr (K1, K2 Kr (1 >=K1, K2 ... .Kr >=0, and K1+K2+ ... Kr=1)), defect class weight is corresponding with defect classification Ar.Defect class weight is also specify by different users and steel grade.Such as, phosphorous high-strength steel requires strict to iron scale, and the weight coefficient that iron scale accounts for is just high; And for IF steel or Automobile Plate, stick up skin, to scab and foreign matter needs the defect paid close attention to, so stick up skin, scab and the weight of foreign matter just high.
Surface quality results is S1, S2 ... Si (general setting i is larger, quality not in proper sequence or order), finally formulates cum rights defect level and the quality results table of comparisons according to company standard, realizes the conversion of defect rank to quality results.This table can adjust according to business change.
2. procedure parameter business rule conversion:
(1) the quality results of definition procedure class parameter.Be defined as P1, P2 ... Pt (t >=1), P1 to Pt represent procedure quality by good to poor.
(2) formulate all kinds of procedure parameter rule list according to different users and steel grade, the fluctuation of implementation procedure parameter is to the conversion of process quality results; The fluctuation of described procedure parameter carries out rule constrain to the conversion opsition dependent of process quality results to procedure parameter, coil of strip is divided into certain length scope and center section end to end, the defect situation for certain length is not end to end considered or the defect situation of certain length is end to end improved a grade at normal defect rank and arranges.
Opsition dependent carries out rule constrain to procedure parameter, and due to the special nature that coil of strip is produced, the overall deviation of quality end to end, this part will be different from pars intermedia and to assign to definition rule.5-10 rice and center section end to end can be divided into.Defect situation for 5-10 rice is not end to end considered or the defect situation of 5-10 rice is end to end improved a grade at normal defect rank and arranges.As: concerning width, 5 meters allow the point of super upper limit 8mm to be judged to be P3 more than 50% end to end, and the point that center section surpasses the upper limit is judged to be P3 more than 10%.
(3) can carry out the above-mentioned rule of refinement by different users and steel grade, forming process parameter rule table.
3. synthetic determination hierarchical management module: by the judgement grade one_to_one corresponding for the process in business rule modular converter and surface, configure final synthetic determination result, forms synthetic determination grade allocation list.
4. segmentation quality judging module: coil of strip is divided into several sections, the grade of every section of difference decision process and surperficial item, draw the process of every section of coil of strip and the grade on surface according to priority, then draw the synthetic determination result of every section and the synthetic determination result of whole coil of strip according to grade allocation list information contrast.
Automatic checking is rolled off the production line the coil of strip be not determined, once find to carry out quality judging immediately, suppose that coil of strip length is X rice, define every Y rice (with reference to the experience of coil of strip speed, general Y >=1) be least unit segmentation, then total X/Y+1 section, judges the surface grade on each section and procedure parameter grade.
(1) table inspection segmentation judges
Calculate the quality results of each section of coil of strip, computation rule is as follows:
In testing process, by the quantity statistics I of each defect rank in each defect classification
arG; Steel plate divides j section, the defect level Zj=∑ Kr × G × I of every section
arG; The quality results of every section of steel plate is obtained according to defect level and the quality results table of comparisons.
Note: because coil of strip general quality end to end can poor, can remove end to end after 5-10 rice, the quality results of entire volume is by removing each section of the poorest the deciding of quality afterwards end to end.
(2) procedure parameter segmentation judges
Travel through all procedure parameter rule lists, judge the grade of every section of procedure parameter, final process grade is by the poorest the deciding of quality in wherein each section of grade.
(3) synthetic determination
The synthetic determination grade of every section is drawn according to synthetic determination grade allocation list.
A kind of for the online quality judging method of coil of strip segmentation multidimensional, concrete steps are as follows:
Step one, determine that surface imperfection can quantize, defect classification adds up to r, (classification comprises hole to defect classification Ar, stick up skin, scab and foreign matter, iron scale, while split, scale mark, roll marks etc.), (grade is G=1 respectively for each defect classification defectiveness grade G, 2 n, from 1 to n representative products surface quality by getting well to secondary, the definition of different brackets is according to product material and purposes, user's particular/special requirement etc. has different decision rules, form the decision rule grade table of comparisons), defect class weight Kr (K1, K2 Kr (1 >=K1, K2 ... .Kr >=0, and K1+K2+ ... Kr=1)), defect class weight is corresponding with defect classification Ar.Defect class weight is also specify by different users and steel grade.Such as, phosphorous high-strength steel requires strict to iron scale, and the weight coefficient that iron scale accounts for is just high; And for IF steel or Automobile Plate, stick up skin, to scab and foreign matter needs the defect paid close attention to, so stick up skin, scab and the weight of foreign matter just high.
Quality results is S1, S2 ... Si (general setting i is larger, quality not in proper sequence or order), finally formulates cum rights defect level and the quality results table of comparisons according to company standard, realizes the conversion of defect rank to quality results.This table can adjust according to business change.
The quality results of step 2, definition procedure class parameter.Process class parametric results is defined as P1, P2 ... Pt (t >=1), P1 to Pt represent procedure quality by good to poor.Rule constrain is carried out to procedure parameter, forming process parameter rule table by position of steel coil implementation procedure parameter fluctuation to the conversion opsition dependent of process quality results.Opsition dependent carries out rule constrain to procedure parameter, and due to the special nature that coil of strip is produced, the overall deviation of quality end to end, this part will be different from pars intermedia and to assign to definition rule.5-10 rice and center section end to end can be divided into.The defect situation of 5 meters is not end to end considered or the defect situation of 5-10 rice is end to end improved a grade at normal defect rank and arrange.As: concerning width, 5 meters allow the point of super upper limit 8mm to be judged to be P3 more than 50% end to end, and the point that center section surpasses the upper limit is judged to be P3 more than 10%.The above-mentioned rule of refinement can be carried out, forming process parameter rule table by different users and steel grade.
Described implementation procedure parameter fluctuation carries out rule constrain to the conversion opsition dependent of process quality results to procedure parameter, coil of strip is divided into certain length scope and center section end to end, the defect situation for certain length is not end to end considered or the defect situation of certain length is end to end improved a grade at normal defect rank and arranges.
Step 3, judgement grade one_to_one corresponding by process and surface, configure final synthetic determination result, forms synthetic determination grade allocation list.
Step 4, automatic checking roll off the production line the coil of strip be not determined, once find to carry out quality judging immediately, suppose that coil of strip length is X rice, define every Y rice (with reference to the experience of coil of strip speed, general Y >=1) be least unit segmentation, then total X/Y+1 section, judges the surface grade on each section and procedure parameter grade.
Table inspection segmentation judges: the quality results calculating each section of coil of strip, computation rule is as follows: in testing process, by the quantity statistics I of each defect rank in each defect classification
arG; Steel plate divides j section, the defect level Zj=∑ Kr × G × I of every section
arG; The quality results of every section of steel plate is obtained according to defect level and the quality results table of comparisons.
Note: because coil of strip general quality end to end can poor, can remove end to end after 5-10 rice, the quality results of entire volume is by removing each section of the poorest the deciding of quality afterwards end to end.
Procedure parameter segmentation judges: travel through all procedure parameter rule lists, judge the quality results of every section of procedure parameter, and entire volume processes result is by the poorest the deciding of quality in wherein each section of grade.
Synthetic determination: the synthetic determination grade drawing every section according to synthetic determination grade allocation list.The synthetic determination grade of entire volume contrasts integrated level allocation list by the surface quality results of entire volume and procedure quality result and draws.
Beneficial effect of the present invention:
The present invention acquires a Secondary process parameter and table inspection instrument defect information, farthest achieves the integrated of production process data; Quality of service standard and control plan control operation code are achieved quantification and systematization process, and the judgement of segmentation fractional dimension has just been carried out when product just rolls off the production line, achieve coil of strip to check comprehensively, liberate the labour collecting data, contribute to Timeliness coverage quality problems, make subsequent treatment, finally improve the quality of products.The application of the invention reaches following effect:
1. quality inspection coverage rate completely, ensure that product quality.Artificial quality inspection is pick test, and online quality judging is block block check, improves the probability that product defects finds, can more Timeliness coverage quality problems or abnormal conditions, the technique of after this coil of strip is adjusted, avoids same quality problems, ensure that product quality.
2. the monitoring of pair procedural information.The increase of procedure parameter, not only can complete the judgement to end product quality, can play supervisory role simultaneously, ensure that procedure quality to the stability of process device parameter.
3. save the labour collecting data and time.Data from multiple system (comprising: a level two, MES three-level system, table check system, LIMS system), relate to data area wide, data pick-up is timely.The mode of operation that quality inspection staff finishes " rushing about ", substantially increases work efficiency.
4. reduce rejection number.The quality condition of coil of strip every section can be found out according to the result of segmentation judgement, thus can provide according to the situation of every section and cut suggestion in detail, determine the particular location excised, coil of strip after cutting can be assigned to new order according to weight and quality grade situation, the whole coil of strip caused because of portion defect is avoided to sentence useless, greatly reduce rejection number, bring economic benefit.
5. set up enterprise and judge knowledge base.The mode providing science adds up the result of determination of surface and process, utilizes the mode of weighted calculation artificial experience to be effectively fused in decision method and goes.Surface decision rule grade, defect class weight, procedure parameter rule list and synthetic determination grade are all carry out at any time adjusting and adding according to business change and different product, help enterprise and improve to judge knowledge base.
Accompanying drawing explanation
Fig. 1 process flow diagram of the present invention.
The surperficial decision rule grade table of comparisons in Fig. 2 the present invention.
The defect weight table of comparisons in Fig. 3 the present invention.
Defect level and the quality results table of comparisons in Fig. 4 the present invention.
Procedure parameter rule list in Fig. 5 the present invention.
Synthetic determination grade allocation list in Fig. 6 the present invention.
Embodiment
The present invention proposes the online quality judging system and method for a kind of coil of strip segmentation multidimensional, composition graphs 1,2,3,4,5 and example in detail as follows:
1. mass parameter collection: set up the data-interface with a secondary, MES, LIMS and table check system, by the mode that triggers in real time by data integration in online quality judging system.
2. table inspection criterion conversion
(1) surface judges that grade is divided into: G1, G2, G3, G4.Surface quality results is divided into S1, S2, S3, S4.
(2) according to the number of defect and area, defect rank quantification is carried out to it by company standard, form the grade table of comparisons, for hole: hole occurs that once then grade is judged to be G4.See Fig. 2, can according to actual needs all defect be quantized.
(3) specify the weight shared by each defect by different users and steel grade.See Fig. 3, in figure, defect kind, number and weight can adjust at any time according to business reality.
3. procedure parameter traffic criteria conversion
(1) process grade name and priority can be configured by User Defined.Such as can be divided into: P1, P2, P3.The product process quality of P1 to P3 representative is by good to secondary, and priority from low to high.
(2) carry out grade quantizing by company standard to procedure parameter, see Fig. 4, such as, carry out grade quantizing to hot rolling finishing temperature, coiling temperature, width and thickness, standard also can be formulated in the ratio of the overproof standard lines of curve.
4. configure synthetic determination grade
For Fig. 5, judge that grade can self-defined title, contrasted one by one in surface and process grade, the mode of formation matrix, configures synthetic determination grade.Can be divided into: qualified, review and close.Qualified volume is let pass, and reviewing volume needs manually to intervene, and closed volume is sentenced useless.
5. segmentation judges
Automatic checking is rolled off the production line the coil of strip be not determined, once find to carry out quality judging immediately, supposes that each meter Jin Hang of cold-rolled low carbon steel to producing judges.50th meter is judged in this section, have pore quantity 1, to scab and foreign matter >=70mm*70mm has 2, (5*5mm2≤defect area <40*40mm2) has 2.The point that the width of this section surpasses upper limit 8mm is 13%, and finishing temperature is 830 DEG C
(1) table inspection segmentation judges
Face decision rule grade table of comparisons table of tabling look-up learns that hole is G4, scabs and foreign matter is respectively G4 and G2, and obtaining hole defect amount is 1*4=4, scabs and foreign matter defect level is 2*4+1*2=10; Look into Fig. 3 defect weight table of comparisons and learn that the weight of hole is 80%, to scab and the weight of foreign matter is 10%, then the cum rights defect level of this section is 4*80%+10*10%=4.2, looks into Fig. 4 defect level and the quality results table of comparisons, and quality results is S2.
(2) procedure parameter segmentation judges
Traversing graph 5 procedure parameter rule list, width is judged to be P3, and finishing temperature is judged to be P1.According to priority principle, the priority of P3 is greater than P1, so this section of procedure quality result is P3.
(3) synthetic determination
Show that the synthetic determination result of this section is for reviewing according to allocation list.
Claims (10)
1. the online quality judging system of coil of strip segmentation multidimensional, is characterized in that: system comprises mass parameter acquisition module, business rule modular converter, synthetic determination hierarchical management module, segmentation quality judging module; Business rule modular converter comprises surface imperfection business rule modular converter and procedure parameter business rule modular converter; Described segmentation quality judging module is connected with procedure parameter business rule modular converter with mass parameter acquisition module, synthetic determination hierarchical management module, surface imperfection business rule modular converter respectively; Synthetic determination hierarchical management module is connected with procedure parameter business rule modular converter with surface imperfection business rule modular converter;
Described mass parameter acquisition module obtains the data of coil of strip by changing during milling train, obtains coil of strip sequence information, obtains surface imperfection data in data in field instrument equipment and surface detecting system;
The decision rule on described surface imperfection business rule modular converter definition surface, definition list planar defect range of control is carried out according to different client, steel grade, by the defect classification of each steel clock, defect rank, defect class weight one_to_one corresponding, make the surperficial decision rule grade table of comparisons and the defect weight table of comparisons; Surface quality results is S1, S2 ... Si, formulates defect class weight and the quality results table of comparisons according to company standard, realizes the conversion of defect rank to quality results;
Quality results P1, the P2 of described procedure parameter business rule modular converter definition procedure class parameter ... Pt, wherein t >=1, P1 to Pt represents procedure quality by good to poor;
Formulate all kinds of procedure parameter rule list according to different users and steel grade, the fluctuation of implementation procedure parameter is to the conversion of process quality results;
Described synthetic determination hierarchical management module: by the judgement grade one_to_one corresponding for the process in business rule modular converter and surface, configure final synthetic determination result, forms synthetic determination grade allocation list;
Coil of strip is divided into several sections by described segmentation quality judging module, the grade of every section of difference decision process and surperficial item, draw the process of every section of coil of strip and the result on surface according to priority, then draw the synthetic determination result of every section and the synthetic determination result of whole coil of strip according to synthetic determination grade allocation list information contrast.
2. the online quality judging system of coil of strip segmentation multidimensional as claimed in claim 1, is characterized in that: described coil of strip comprises steel roll temperature, width, thickness by the data changed during milling train; Described coil of strip sequence information comprises coil of strip number, steel grade, thickness, width target upper lower limit value; Described field instrument equipment is thicknessmeter and template instrument data; Described surface imperfection data comprise defect type, position, area, number, the order of severity.
3. the online quality judging system of coil of strip segmentation multidimensional as claimed in claim 1, it is characterized in that: described surface imperfection allocation list is for determining that defect classification adds up to r, defect classification Ar, each defect classification defectiveness grade G, defect class weight Kr, wherein 1 >=K1, K2 ... .Kr >=0, and K1+K2+ ... Kr=1, defect class weight Kr is corresponding with defect classification Ar.
4. the online quality judging system of coil of strip segmentation multidimensional as claimed in claim 1, it is characterized in that: the fluctuation of described procedure parameter carries out rule constrain to the conversion opsition dependent of process quality results to procedure parameter, coil of strip is divided into certain length scope and center section end to end, the defect situation for certain length is not end to end considered or the defect situation of certain length is end to end improved a grade at normal defect rank and arranges.
5. the online quality judging system of coil of strip segmentation multidimensional as claimed in claim 3, is characterized in that: described defect classification comprises hole, stick up skin, scab and foreign matter, iron scale, limit are split, scale mark, roll marks.
6. the online quality judging system of coil of strip segmentation multidimensional as claimed in claim 4, is characterized in that: described certain length is end to end 5-10 rice.
7. the online quality judging method of coil of strip segmentation multidimensional, is characterized in that:
Step one, determine that surface imperfection can quantize, defect classification adds up to r, defect classification Ar, each defect classification defectiveness grade G, defect class weight Kr, wherein 1 >=K1, K2 ... .Kr >=0, and K1+K2+ ... Kr=1, defect class weight is corresponding with defect classification Ar; Defect class weight is determined by different users and steel grade;
Quality results is S1, S2 ... Si, formulates defect class weight and the quality results table of comparisons according to company standard, realizes the conversion of defect rank to surface quality results;
The quality results of step 2, definition procedure class parameter, is defined as P1, P2 by process class parametric results ... Pt, t >=1; P1 to Pt represents procedure quality by good to poor; Rule constrain is carried out to procedure parameter, forming process parameter rule table by position of steel coil implementation procedure parameter fluctuation to the conversion opsition dependent of process quality results;
Step 3, judgement grade one_to_one corresponding by process and surface, configure final synthetic determination result, forms synthetic determination grade allocation list;
Step 4, automatic checking roll off the production line the coil of strip be not determined, once find to carry out quality judging immediately, coil of strip length is X rice, and defining every Y rice is least unit segmentation, then total X/Y+1 section, judges the surface grade on each section and procedure parameter grade;
Table inspection segmentation judges: the quality results calculating each section of coil of strip, computation rule is as follows: in testing process, by the quantity statistics I of each defect rank in each defect classification
arG; Steel plate divides j section, the defect level Zj=∑ Kr × G × I of every section
arG; The quality results of every section of steel plate is obtained according to defect level and the quality results table of comparisons; Quality results each section of the poorest deciding of quality of entire volume;
Procedure parameter segmentation judges: travel through all procedure parameter rule lists, judge the quality results of every section of procedure parameter, and entire volume processes result is by the poorest the deciding of quality in wherein each section of grade;
Synthetic determination: the synthetic determination grade drawing every section according to synthetic determination grade allocation list, the synthetic determination grade of entire volume contrasts integrated level allocation list by the surface quality results of entire volume and procedure quality result and draws.
8. the online quality judging method of coil of strip segmentation multidimensional as claimed in claim 7, is characterized in that: described defect classification comprises hole, stick up skin, scab and foreign matter, iron scale, limit are split, scale mark, roll marks.
9. the online quality judging method of coil of strip segmentation multidimensional as claimed in claim 7, it is characterized in that: described implementation procedure parameter fluctuation carries out rule constrain to the conversion opsition dependent of process quality results to procedure parameter, coil of strip is divided into certain length scope and center section end to end, the defect situation for certain length is not end to end considered or the defect situation of certain length is end to end improved a grade at normal defect rank and arranges.
10. the online quality judging method of coil of strip segmentation multidimensional as claimed in claim 9, is characterized in that: described certain length is end to end 5-10 rice.
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