CN107808241A - A kind of stainless steel surfaces testing result overall analysis system - Google Patents

A kind of stainless steel surfaces testing result overall analysis system Download PDF

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CN107808241A
CN107808241A CN201710962040.8A CN201710962040A CN107808241A CN 107808241 A CN107808241 A CN 107808241A CN 201710962040 A CN201710962040 A CN 201710962040A CN 107808241 A CN107808241 A CN 107808241A
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defect
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CN107808241B (en
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杨永杰
白晋钢
王志军
杨永超
郎炜昀
赵建伟
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Shanxi Taigang Stainless Steel Co Ltd
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Abstract

A kind of stainless steel surfaces testing result overall analysis system, including:Data back system, data statistic analysis system, data-base recording system, remote access interface system;The data statistic analysis system includes neutral net evaluation system, defect marking evaluation system.Onsite surface quality testing log file is back to data statistic analysis system by data back system automatically;After data statistic analysis system receives file, the evaluation of two sets of methods is performed, and statistic analysis result is transferred to data-base recording system according to neutral net evaluation system, defect marking evaluation system;After data-base recording system receives statistic analysis result, deposited.The present invention improves scientific research personnel with quality inspection personnel to the live rapid integrated evaluation of coil of strip surface quality.

Description

A kind of stainless steel surfaces testing result overall analysis system
Technical field
The invention belongs to stainless steel field, data analysis, Surface testing field.
Background technology
Surface testing is the direct measurement to stainless steel surfaces quality judging, but due to the continuous lifting of industrialization, coil of strip Cross linear velocity to be also substantially improved, therefore only judge with Quality Inspector's bore hole, can not meet the needs of stainless steel surfaces inspection.Examine on surface The application of instrument is surveyed, alleviates the work of Quality Inspector, but is only capable of recording the information of defect, coil of strip can not be carried out according to these information Synthetic determination.
The content of the invention
The present invention seeks to by stainless steel surfaces testing result overall analysis system, to scientific research personnel and quality inspection personnel pair Coil of strip defect makes evaluation.
A kind of stainless steel surfaces testing result overall analysis system enters on the basis of being built upon data analysis identification Capable.Instrument is examined by Maintenance Table to record, steps up the accuracy of table inspection record, and is combined big data and analyzed, can be to every volume Ratio of defects, defect number, defective locations, distribution characteristics are counted, and realize defect by the grading automatical judgement of light and heavy degree.
Technical solution of the present invention:A kind of stainless steel surfaces testing result overall analysis system, it is taken based on linux system Build, using Spring does WEB frameworks, MySQL does data persistence, Shiro does rights management for Mybatis access, uses RESTful styles WebService services, Lucene makees search engine, Quartz does timer-triggered scheduler, BootStrap+HTML5 is done Front end page, supports the access at PC, Android, IOS end, on this system portable to HADOOP big data cluster servers, tool There is scalability.
A kind of stainless steel surfaces testing result overall analysis system, including:Data back system, data statistic analysis system System, data-base recording system, remote access interface system;The data statistic analysis system include neutral net evaluation system, Defect marking evaluation system;
The neutral net evaluation system, every meter of defect number is counted by coil of strip point upper surface, point 1 to 9 places, at 9 more than, totally 10 Individual parameter, lower surface count every meter of defect number, point 1 to 9 places, at 9 more than, totally 10 parameters.With this 20 parameter conducts Nerve network input parameter, totally 26 layers of intermediate layer, output level judge 0-100 1 parameter of level,(Export adding for input component Quan He, i.e. intermediate layer are equal to the weighting of the preceding layer neuron output adjacent with it with the input of any neuron in output layer With);I.e.
In formula, netjFor the input of any neuron j in a certain layer, export as Oj, OiFor with it is any in this layer of adjacent preceding layer The output of neuron;wjiFor the connection weight between neuron j and neuron i;
Wherein: f(netj) be neuron output function, desired output Dpk, reality output Ypk, then the variance exported is:
Wherein N is input sample(Vector)Total number, p are input vector dimension(This programme is 20), k is output vector dimension (This programme is 1).
The defect marking evaluation system, according to defect(Such as:It is mingled with, scratches)It is the average length of attribute, average area, every Rice number by stages is scored, then gets such defect score value by the weighted average of these attributes, last all kinds of defects The weighted average of score value gets the comprehensive grading of this coil of strip, and score range is at 0-100 points.Detailed assessment is as follows:
Average length comments 95 points, weight 0.1 in 0-5mm, and 80 points, weight 0.1 are commented in 5-10mm, and 60 points, weight are commented in 10-15mm 0.1,10 points, weight 0.1 are commented in more than 15mm, weighted score can choose the score value of length attribute;
Average area is in 0-7mm295 points, weight 0.2 are commented, in 7-15mm280 points, weight 0.2 are commented, in 15-25mm2Comment 60 points, power 0.2 is weighed, in 25mm210 points, weight 0.2 are commented above, and weighted score can choose the score value of area attribute;
Every meter of number comments 95 points, weight 0.03 at 0-2, and 80 points, weight 0.07 are commented at 3-4, and 60 points, weight are commented at 5-6 0.1,40 points, weight 0.2 are commented at 7-9,10 points, weight 0.3 are commented more than 10, weighted score can choose every meter of number category The score value of property;
The score value of defect is the score value of average length of defect, the score value three of the score value of average area and every meter of number and.It is comprehensive Weighted average point of the scoring for all kinds of defects is closed, the score value that the score value of inclusion defect is multiplied by 0.6 weight and scuffing defect is multiplied by The sum of 0.4 weight, comprehensive scores are divided in 0-100, comprehensive grading of this score value as current coil of strip surface quality.
The above three levels of appraisement system point, first layer is the score value of each generic attribute of defect, and the second layer is various defects Score value, last layer is comprehensive grading.Wherein, average length value can only fall in a score value section, therefore average length Weight be 0.1;Average area value can only fall in a score value section, therefore the weight of average area is 0.2;Every meter of number There is value in each section, therefore the weight of every meter of number is 0.03+0.07+0.1+0.2+0.3=0.7.Three groups of category more than The weight for such defect that property read group total goes out is 0.1+0.2+0.7=1.The weight that comprehensive grading is calculated by all kinds of defects is 0.6+0.4=1.Above appraisement system, calculating process weight and be 1, each weight are optimization gained;According to actual conditions, defect The interval of each generic attribute can increase and adjust, weight also can adjust, but must ensure weight and for 1.
There are average length, average area and three attributes of every meter of number per a kind of defect, pass through the score value of this three attributes With the score value that can calculate this defect, comprehensive grading can be calculated finally by the weighted sum of all kinds of defect score values, you can as The Comprehensive Assessment of coil of strip surface quality.
The present invention improves scientific research personnel with quality inspection personnel to the live rapid integrated evaluation of coil of strip surface quality.
Embodiment
The root module of the embodiment of the present invention examines data analysis for table, and submodule is table inspection report(Data summarization Diagram), it is mingled with management, scratches management(Two sub- defect management modules), appraisement system(Evaluation system is with new module)Log in system After system, it can be seen that table examines data analysis module and corresponding submodule.I.e. table examines reporting modules, is mingled with management module, is mingled with Management module, scratch management module, appraisement system module.
Onsite surface quality testing log file is back to data statistic analysis system by data back system automatically;Data After statistical analysis system receives file, two sets of methods are performed according to neutral net evaluation system, defect marking evaluation system Evaluation, and statistic analysis result is transferred to data-base recording system;After data-base recording system receives statistic analysis result, enter Row deposit;Interface is remotely accessed, ensures that scientific research personnel remotely accesses the system by browser, reporting modules point production is examined by table Line, steel grade, defect, date carry out statistical analysis, the statistic analysis result of Real Time Observation surface quality, pass through each defect management mould Block can check flaw evaluation score value, defect distribution diagram, normal distribution, evaluating can be changed by appraisement system module, Amendment evaluation system in real time.

Claims (5)

1. a kind of stainless steel surfaces testing result overall analysis system, including:Data back system, data statistic analysis system, Data-base recording system, remote access interface system;The data statistic analysis system includes neutral net evaluation system, defect Marking evaluation system;It is characterized in that the neutral net evaluation system counts every meter of defect number by coil of strip point upper surface, 1 is divided to arrive At 9, at 9 more than, totally 10 parameters, lower surface count every meter of defect number, point 1 to 9 places, at 9 more than, totally 10 parameters;Fortune By the use of this 20 parameters as nerve network input parameter, totally 26 layers of intermediate layer exports and is
In formula, netj is the input of any neuron j in a certain layer, and it is to appoint in the preceding layer adjacent with this layer to export as Oj, Oi The output of one neuron;Connection weights of the wji between neuron j and neuron i;
Wherein:F (netj) is the output function of neuron, and desired output Dpk, reality output Ypk, then the variance exported is:
Wherein N is input sample vector total number, and p is input vector dimension, and k is output vector dimension.
A kind of 2. stainless steel surfaces testing result overall analysis system according to claim 1, it is characterized in that the defect is beaten Divide evaluation system, scored according to the average length of defect attribute, average area, every meter of number by stages, then pass through defect The weighted average of attribute gets such defect score value, and the synthesis that the weighted averages of last all kinds of defect score values gets coil of strip is commented Point, score range is at 0-100 points.
A kind of 3. stainless steel surfaces testing result overall analysis system according to claim 1, it is characterized in that average length exists 0-5mm comments 95 points, weight 0.1, and average length comments 80 points, weight 0.1 in 5-10mm, and average length comments 60 points, power in 10-15mm 0.1 is weighed, average length comments 10 points, weight 0.1 in more than 15mm, and weighted score is the score value of length attribute;
Average area is in 0-7mm295 points, weight 0.2 are commented, average area is in 7-15mm280 points, weight 0.2 are commented, average area exists 15-25mm260 points, weight 0.2 are commented, average area is in 25mm210 points, weight 0.2 are commented above, and weighted score is to choose area category The score value of property;Every meter of number comments 95 points, weight 0.03 at 0-2, and every meter of number comments 80 points, weight 0.07 at 3-4, and every meter individual Number comments 60 points, weight 0.1 at 5-6, and every meter of number comments 40 points, weight 0.2 at 7-9, and every meter of number comments 10 more than 10 Divide, weight 0.3, weighted score is the score value of every meter number attribute.
4. a kind of stainless steel surfaces testing result overall analysis system according to claim 1, it is characterized in that the score value of defect= The score value of the number of the score value of score value+average area of the average length of defect+every meter.
A kind of 5. stainless steel surfaces testing result overall analysis system according to claim 1, it is characterized in that comprehensive grading is The weighted average of all kinds of defects point, the score value of inclusion defect are multiplied by the weight that 0.6 weight is multiplied by 0.4 with scratching the score value of defect Sum.
CN201710962040.8A 2017-10-16 2017-10-16 Stainless steel surface detection result comprehensive analysis system Active CN107808241B (en)

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Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109002974A (en) * 2018-06-29 2018-12-14 首钢京唐钢铁联合有限责任公司 A kind of coil of strip surface quality grading determination method and device
CN109685761A (en) * 2018-11-08 2019-04-26 宁波送变电建设有限公司甬城配电网建设分公司 A kind of power cable defect inspection method and its detection system based on cloud platform
CN115049319A (en) * 2022-08-15 2022-09-13 张家港广大特材股份有限公司 Quality evaluation method and system for steel forging forming

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CN101097581A (en) * 2006-06-27 2008-01-02 宝山钢铁股份有限公司 Processing parameter setting method of tension straightening machine set correct roller
CN102880934A (en) * 2012-09-07 2013-01-16 中国标准化研究院 Integrity evaluation method for food enterprise
CN102968701A (en) * 2012-12-17 2013-03-13 天津职业技术师范大学 Method for assessing teacher practical skills based on neural network technology
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
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* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109002974A (en) * 2018-06-29 2018-12-14 首钢京唐钢铁联合有限责任公司 A kind of coil of strip surface quality grading determination method and device
CN109685761A (en) * 2018-11-08 2019-04-26 宁波送变电建设有限公司甬城配电网建设分公司 A kind of power cable defect inspection method and its detection system based on cloud platform
CN109685761B (en) * 2018-11-08 2020-09-22 宁波送变电建设有限公司甬城配电网建设分公司 Power cable defect detection method and detection system based on cloud platform
CN115049319A (en) * 2022-08-15 2022-09-13 张家港广大特材股份有限公司 Quality evaluation method and system for steel forging forming
CN115049319B (en) * 2022-08-15 2022-12-20 张家港广大特材股份有限公司 Quality evaluation method and system for steel forging forming

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