CN110490862A - A kind of method and device improving continuous casting flaw detection qualification rate - Google Patents

A kind of method and device improving continuous casting flaw detection qualification rate Download PDF

Info

Publication number
CN110490862A
CN110490862A CN201910777803.0A CN201910777803A CN110490862A CN 110490862 A CN110490862 A CN 110490862A CN 201910777803 A CN201910777803 A CN 201910777803A CN 110490862 A CN110490862 A CN 110490862A
Authority
CN
China
Prior art keywords
continuous casting
casting billet
information
image information
field trash
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
CN201910777803.0A
Other languages
Chinese (zh)
Other versions
CN110490862B (en
Inventor
谷杰
赵小军
蔡雪贞
石晨敏
徐书成
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Lian Feng Steel (zhangjiagang) Co Ltd
Original Assignee
Lian Feng Steel (zhangjiagang) Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Lian Feng Steel (zhangjiagang) Co Ltd filed Critical Lian Feng Steel (zhangjiagang) Co Ltd
Priority to CN201910777803.0A priority Critical patent/CN110490862B/en
Publication of CN110490862A publication Critical patent/CN110490862A/en
Application granted granted Critical
Publication of CN110490862B publication Critical patent/CN110490862B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/0002Inspection of images, e.g. flaw detection
    • G06T7/0004Industrial image inspection
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/20Special algorithmic details
    • G06T2207/20081Training; Learning
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/30Subject of image; Context of image processing
    • G06T2207/30108Industrial image inspection
    • G06T2207/30116Casting
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/30Subject of image; Context of image processing
    • G06T2207/30108Industrial image inspection
    • G06T2207/30136Metal
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02PCLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
    • Y02P90/00Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
    • Y02P90/30Computing systems specially adapted for manufacturing

Landscapes

  • Engineering & Computer Science (AREA)
  • Quality & Reliability (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Image Analysis (AREA)
  • Continuous Casting (AREA)
  • Investigating And Analyzing Materials By Characteristic Methods (AREA)

Abstract

This specification embodiment provides a kind of method and device for improving continuous casting flaw detection qualification rate, training pattern is inputted by the continuous casting billet image information that will be obtained, wherein, the training pattern is obtained by the training of multiple groups training data, and each group of training data in training data in the multiple groups includes: the continuous casting billet image information, mark continuous casting billet center metallographic structure label information and default field trash indication information;Obtain the output information of the training pattern, wherein the output information includes the corresponding continuous casting billet center metallographic structure information of the continuous casting billet image information and field trash information;According to the corresponding continuous casting billet center metallographic structure information of the continuous casting billet image information and field trash information, screening and filtering is carried out to the continuous casting billet image information, obtain the qualified standard continuous casting billet image information of flaw detection, the flaw detection qualification rate for improving continuous casting billet is reached, reduce inclusion content, the internal soundness for guaranteeing continuous casting billet, reduces the technical effect of production cost.

Description

A kind of method and device improving continuous casting flaw detection qualification rate
Technical field
This specification embodiment be related to metallurgical technology field more particularly to it is a kind of improve continuous casting flaw detection qualification rate method and Device.
Background technique
Currently, steel industry production cost is high, whole profit is not high, especially cut deal enterprise, is in meagre profit Or loss of capital state.Flaw detection qualification rate is a principal economic indicators of cut deal iron and steel enterprise, and the height of flaw detection qualification rate is direct Determine economic benefit, production cost and the contract encashment ratio of enterprise.Cut deal steel are easy to appear steel in continuous casting production working procedure It is unqualified that plate center portion element segregation, loose and micro-crack lead to roll rear steel plate inspection, therefore, promotes steel plate inspection qualification rate to steel Iron production is of great significance.
But present inventor during inventive technique scheme, has found above-mentioned technology extremely in realizing the embodiment of the present application It has the following technical problems less:
In the prior art since Large Inclusions, micro-crack easily occurs during the rolling process in continuous casting billet, and easily aggravate continuous casting Base center segregation and banded structure cause to detect a flaw unqualified, and can not quickly identify the flaw detection qualification rate of continuous casting billet.
Summary of the invention
This specification embodiment provides and a kind of method and device for improving continuous casting flaw detection qualification rate, solves the prior art In easily occur Large Inclusions, micro-crack during the rolling process due to continuous casting billet, and easily aggravation continuous casting billet center segregation and band-like Tissue, the technical issues of causing to detect a flaw unqualified, and can not quickly identify the flaw detection qualification rate of continuous casting billet, has reached raising continuous casting The flaw detection qualification rate of base reduces inclusion content, guarantees the internal soundness of continuous casting billet, reduce the technical effect of production cost.
In view of the above problems, propose the embodiment of the present application in order to provide it is a kind of improve continuous casting flaw detection qualification rate method and Device.
In a first aspect, this specification embodiment provides a kind of method for improving continuous casting flaw detection qualification rate, the acquisition continuous casting Base image information;The continuous casting billet image information is inputted into training pattern, wherein the training pattern passes through multiple groups training data Training obtains, and each group of training data in training data in the multiple groups includes: the continuous casting billet image information, mark Continuous casting billet center metallographic structure label information and default field trash indication information;The output information of the training pattern is obtained, In, the output information includes the corresponding continuous casting billet center metallographic structure information of the continuous casting billet image information and field trash letter Breath;According to the corresponding continuous casting billet center metallographic structure information of the continuous casting billet image information and field trash information, to the continuous casting Base image information carries out screening and filtering, obtains the qualified standard continuous casting billet image information of flaw detection.
Preferably, the acquisition continuous casting billet image information, comprising: obtain continuous casting billet image information to be detected;To described Continuous casting billet image information to be detected is pre-processed, and the continuous casting billet image information is obtained, wherein the continuous casting billet image letter Breath is size, ratio, the identical image information of pixel.
Preferably, each group of training data in the training data in the multiple groups includes mark continuous casting billet center metallographic group Knit label information, comprising: obtain the crackle in the metallographic structure of continuous casting billet center;Judge in the metallographic structure of the continuous casting billet center Whether crackle meets preassigned image;When the crackle in the metallographic structure of the continuous casting billet center does not meet preassigned image When, obtain mark continuous casting billet center metallographic structure label information;The mark continuous casting billet center metallographic structure label information is made For the first label data, input in each group of training data.
Preferably, each group of training data in the training data in the multiple groups includes default field trash indication information, It include: the content for obtaining the ingredient of the ingredient and field trash of field trash in continuous casting billet;According to the ingredient of the field trash with The content of the ingredient of the field trash obtains the default field trash indication information;Using the default field trash indication information as Second label data inputs in each group of training data.
Preferably, described according to the corresponding continuous casting billet center metallographic structure information of the continuous casting billet image information and field trash Information carries out screening and filtering to the continuous casting billet image information, obtains the qualified standard continuous casting billet image information of flaw detection, comprising: Judge whether the corresponding continuous casting billet center metallographic structure information of the continuous casting billet image information meets preassigned image;If institute It states the corresponding continuous casting billet center metallographic structure information of continuous casting billet image information and meets preassigned image, obtain predetermined field trash threshold Value;If the corresponding continuous casting billet center metallographic structure information of the continuous casting billet image information does not meet preassigned image, by institute Continuous casting billet image information is stated to filter out.
Preferably, after the predetermined field trash threshold value of acquisition, comprising: judge the corresponding folder of the continuous casting billet image information Whether sundries information reaches predetermined field trash threshold value;If the corresponding field trash information of the continuous casting billet image information does not reach Predetermined field trash threshold value obtains the qualified standard continuous casting billet image information of flaw detection;If the continuous casting billet image information is corresponding Field trash information reaches predetermined field trash threshold value, and the continuous casting billet image information is filtered out.
Second aspect, this specification embodiment provide a kind of raising continuous casting flaw detection qualification rate device, and described device includes:
First obtains unit, for obtaining continuous casting billet image information;
First input unit, for the continuous casting billet image information to be inputted training pattern, wherein the training pattern is logical It crosses the training of multiple groups training data to obtain, each group of training data in training data in the multiple groups includes: the continuous casting Base image information, mark continuous casting billet center metallographic structure label information and default field trash indication information;
First output unit, for obtaining the output information of the training pattern, wherein the output information includes described The corresponding continuous casting billet center metallographic structure information of continuous casting billet image information and field trash information;
Second obtaining unit, for according to the corresponding continuous casting billet center metallographic structure information of the continuous casting billet image information and Field trash information carries out screening and filtering to the continuous casting billet image information, obtains the qualified standard continuous casting billet image information of flaw detection.
Preferably, continuous casting billet image information is obtained described in the first obtains unit, comprising:
Third obtaining unit, for obtaining continuous casting billet image information to be detected;
4th obtaining unit obtains the continuous casting for pre-processing to the continuous casting billet image information to be detected Base image information, wherein the continuous casting billet image information is size, ratio, the identical image information of pixel.
Preferably, each group of training data in the training data in multiple groups described in first input unit includes mark Know continuous casting billet center metallographic structure label information, comprising:
5th obtaining unit, for obtaining the crackle in the metallographic structure of continuous casting billet center;
Whether the first judging unit, the crackle for judging in the metallographic structure of the continuous casting billet center meet preassigned figure Picture;
6th obtaining unit, for not meeting preassigned image when the crackle in the metallographic structure of the continuous casting billet center When, obtain mark continuous casting billet center metallographic structure label information;
Second input unit, for using the mark continuous casting billet center metallographic structure label information as the first number of tags According in the input each group of training data.
Preferably, each group of training data in the training data in multiple groups described in first input unit includes pre- If field trash indication information, comprising:
7th obtaining unit, for obtaining the content of the ingredient of the ingredient of field trash and the field trash in continuous casting billet;
8th obtaining unit, for according to the acquisition of the content of the ingredient of the field trash and the ingredient of the field trash Default field trash indication information;
Third input unit, for inputting described every using the default field trash indication information as the second label data In one group of training data.
Preferably, according to the corresponding continuous casting billet center gold of the continuous casting billet image information described in second obtaining unit Phase constitution information and field trash information carry out screening and filtering to the continuous casting billet image information, obtain the qualified standard of flaw detection and connect Slab image information, comprising:
Second judgment unit, for judging that the corresponding continuous casting billet center metallographic structure information of the continuous casting billet image information is It is no to meet preassigned image;
9th obtaining unit, if for the corresponding continuous casting billet center metallographic structure information symbol of the continuous casting billet image information Preassigned image is closed, predetermined field trash threshold value is obtained;
First execution unit, if not for the corresponding continuous casting billet center metallographic structure information of the continuous casting billet image information Meet preassigned image, the continuous casting billet image information is filtered out.
Preferably, after the 9th obtaining unit, comprising:
Third judging unit, for judging whether the corresponding field trash information of the continuous casting billet image information reaches pre- clamp Sundries threshold value;
Tenth obtaining unit, if not reaching pre- clamp for the corresponding field trash information of the continuous casting billet image information Sundries threshold value obtains the qualified standard continuous casting billet image information of flaw detection;
Second execution unit, if reaching predetermined field trash for the corresponding field trash information of the continuous casting billet image information Threshold value filters out the continuous casting billet image information.
The third aspect, the present invention provides a kind of computer readable storage mediums, are stored thereon with computer program, the journey The step of any of the above-described the method is realized when sequence is executed by processor.
Fourth aspect, this specification embodiment provide a kind of device for improving continuous casting flaw detection qualification rate, including memory, place The computer program managing device and storage on a memory and can running on a processor, which is characterized in that the processor executes The step of any of the above-described the method.
Said one or multiple technical solutions in the embodiment of the present application at least have following one or more technology effects Fruit:
The method and device for the raising continuous casting flaw detection qualification rate that this specification embodiment provides, passes through the continuous casting billet that will be obtained Image information inputs training pattern, wherein the training pattern is obtained by the training of multiple groups training data, the instruction in the multiple groups Practicing each group of training data in data includes: the continuous casting billet image information, mark continuous casting billet center metallographic structure label Information and default field trash indication information;By by the mark continuous casting billet center metallographic in continuous casting billet image information and training pattern Tissue label information and default field trash indication information are compared, and obtain the output information of the training pattern, wherein described Output information includes the corresponding continuous casting billet center metallographic structure information of the continuous casting billet image information and field trash information;According to institute The corresponding continuous casting billet center metallographic structure information of continuous casting billet image information and field trash information are stated, to the continuous casting billet image information Screening and filtering is carried out, the qualified standard continuous casting billet image information of flaw detection is obtained, is able to solve due to continuous casting billet during the rolling process Easily there is Large Inclusions, micro-crack, and easily aggravation continuous casting billet center segregation and banded structure, causes to detect a flaw unqualified, and nothing Method quickly identifies the technical issues of flaw detection qualification rate of continuous casting billet, has reached the flaw detection qualification rate for improving continuous casting billet, and reduction is mingled with Object content guarantees the internal soundness of continuous casting billet, reduces the technical effect of production cost.
Detailed description of the invention
Fig. 1 is a kind of method flow diagram of the raising continuous casting flaw detection qualification rate provided in this specification embodiment;
Fig. 2 is a kind of raising continuous casting flaw detection qualification rate schematic device provided in this specification embodiment;
Fig. 3 is another raising continuous casting flaw detection qualification rate schematic device provided in this specification embodiment.
Drawing reference numeral explanation: bus 300, receiver 301, processor 302, transmitter 303, memory 304, bus interface 306。
Specific embodiment
The embodiment of the invention provides a kind of method and devices for improving continuous casting flaw detection qualification rate, for solving existing skill Since Large Inclusions, micro-crack, and easily aggravation continuous casting billet center segregation and band easily occurs during the rolling process in continuous casting billet in art Shape tissue causes to detect a flaw unqualified, and the technical issues of can not quickly identify the flaw detection qualification rate of continuous casting billet, provided by the invention Technical solution general thought is as follows:
In the technical solution of the embodiment of the present invention, by obtaining continuous casting billet image information;The continuous casting billet image is believed Breath input training pattern, wherein the training pattern is obtained by the training of multiple groups training data, the training data in the multiple groups In each group of training data include: the continuous casting billet image information, mark continuous casting billet center metallographic structure label information and Default field trash indication information;Obtain the output information of the training pattern, wherein the output information includes the continuous casting billet The corresponding continuous casting billet center metallographic structure information of image information and field trash information;It is corresponding according to the continuous casting billet image information Continuous casting billet center metallographic structure information and field trash information carry out screening and filtering to the continuous casting billet image information, are detected a flaw Qualified standard continuous casting billet image information.It is able to solve since Large Inclusions, fine fisssure easily occurs during the rolling process in continuous casting billet Line, and easily aggravation continuous casting billet center segregation and banded structure, cause to detect a flaw unqualified, and can not quickly identify the flaw detection of continuous casting billet The technical issues of qualification rate, has reached the flaw detection qualification rate for improving continuous casting billet, reduces inclusion content, guarantees the inside of continuous casting billet Quality reduces the technical effect of production cost.
In order to better understand the above technical scheme, below by attached drawing and specific embodiment to this specification embodiment Technical solution be described in detail, it should be understood that the specific features in this specification embodiment and embodiment are to this explanation The detailed description of book embodiment technical solution, rather than the restriction to this specification technical solution, in the absence of conflict, Technical characteristic in this specification embodiment and embodiment can be combined with each other.
It is only to be not intended to be limiting this public affairs merely for for the purpose of describing particular embodiments the term used is disclosed herein It opens.Packet is also intended to the "an" of singular used in the attached claims, " described " and "the" being disclosed herein Most forms are included, unless the context clearly indicates other meaning.The terms "and/or", only a kind of description association The incidence relation of object indicates may exist three kinds of relationships, for example, A and/or B, can indicate: individualism A exists simultaneously A And B, individualism B these three situations.In addition, character "/" herein, typicallys represent the pass that forward-backward correlation object is a kind of "or" System.
Embodiment one
Fig. 1 is a kind of flow diagram for the method for improving continuous casting flaw detection qualification rate in the embodiment of the present invention.Such as Fig. 1 institute Show.The method is applied to the equipment for improving continuous casting flaw detection qualification rate, the processing equipment for improving continuous casting flaw detection qualification rate Including an input equipment and a display equipment, there is picture input module, picture processing module, storage inside the input equipment Device, signal input module, the equipment that the input equipment can generate output signal with energy-spectrum scanning instrument, scanning electron microscope etc. carry out Connection, the display equipment connect with the input equipment, can will be at the input equipments such as the energy-spectrum scanning instrument, scanning electron microscope The equipment such as the display screen that the image of reason is shown.The method comprising the steps of S101-S104.
S101: continuous casting billet image information is obtained;
Further, the acquisition continuous casting billet image information, comprising: obtain continuous casting billet image information to be detected;To institute It states continuous casting billet image information to be detected to be pre-processed, obtains the continuous casting billet image information, wherein the continuous casting billet image Information is size, ratio, the identical image information of pixel.
Specifically, the embodiment of the present application provides a kind of method for improving continuous casting flaw detection qualification rate, by continuous casting billet Process environment under shooting be scanned to continuous casting billet to be detected using energy-spectrum scanning instrument, scanning electron microscope etc. obtain company to be detected Slab image information, for example, certain steel plant before obtaining continuous casting billet image information to be detected, carries out the continuous casting billet to be detected Slow cooling processing can reduce the micro-flaw of continuous casting billet by slow cooling processing, reduce continuous casting billet center segregation and banded structure, keep away Exempt from the appearance of Large Inclusions, and then can be improved the flaw detection qualification rate of continuous casting billet, wherein flaw detection refers to detection metal material or portion Crackle or defect inside part.The continuous casting billet image information to be detected is pre-processed, image processing software pair is passed through Continuous casting billet image information to be detected is uniformly processed, and the continuous casting billet image information is obtained, wherein the continuous casting billet image Information is size, ratio, the identical image information of pixel, and convenient for training pattern, quickly analysis is handled, and improves the flaw detection of continuous casting billet Qualification rate reduces inclusion content, guarantees the internal soundness of continuous casting billet.
S102: the continuous casting billet image information is inputted into training pattern, wherein the training pattern passes through multiple groups training number It is obtained according to training, each group of training data in training data in the multiple groups includes: the continuous casting billet image information, mark Know continuous casting billet center metallographic structure label information and default field trash indication information;
Further, each group of training data in the training data in the multiple groups includes mark continuous casting billet center metallographic Organize label information, comprising: obtain the crackle in the metallographic structure of continuous casting billet center;Judge in the metallographic structure of the continuous casting billet center Crackle whether meet preassigned image;When the crackle in the metallographic structure of the continuous casting billet center does not meet preassigned image When, obtain mark continuous casting billet center metallographic structure label information;The mark continuous casting billet center metallographic structure label information is made For the first label data, input in each group of training data.
Further, each group of training data in the training data in the multiple groups includes default field trash index letter Breath, comprising: obtain the content of the ingredient of the ingredient and field trash of field trash in continuous casting billet;According to the ingredient of the field trash The default field trash indication information is obtained with the content of the ingredient of the field trash;The default field trash indication information is made For the second label data, input in each group of training data.
Specifically, the continuous casting billet image information of acquisition is inputted training pattern, wherein the training pattern passes through The training of multiple groups training data obtains, that is to say, that each group of training in the training data in the multiple groups in training pattern Data include: the continuous casting billet image information, mark continuous casting billet center metallographic structure label information and default field trash index Information.In order to improve the flaw detection qualification rate of continuous casting billet, width, the size, depth of the inside micro-flaw of continuous casting billet need to be limited, with And the composition of inclusions and content of continuous casting billet.Firstly, passing through the label letter of micro-flaw in mark continuous casting billet center metallographic structure Breath, wherein influence continuous casting billet inside micro-flaw because being known as continuous casting billet center segregation and banded structure.Pass through energy-spectrum scanning instrument The micro-flaw in the metallographic structure of continuous casting billet center is obtained with scanning electron microscope, judges splitting in the metallographic structure of the continuous casting billet center Whether line meets preassigned image, wherein the preassigned image is the width of the qualified crackle of continuous casting billet flaw detection, size And the predetermined threshold of depth.When the crackle in the metallographic structure of the continuous casting billet center does not meet preassigned image, marked Know continuous casting billet center metallographic structure label information, the i.e. underproof label of continuous casting billet flaw detection.By the mark continuous casting billet center gold Phase constitution label information inputs in each group of training data as the first label data, can with inputted in training pattern The continuous casting billet image information compares training.Secondly, by default field trash indication information as each in training pattern One of group training data.By obtaining the content of the ingredient of the ingredient and field trash of field trash in continuous casting billet, such as certain steel It is higher at middle Al, Ca, O content, find that line inclusion is aluminium calcium oxide in the steel by energy spectrum analysis.According to described The content of the ingredient of the ingredient of field trash and the field trash obtains the default field trash indication information, i.e., the described field trash When the content of the ingredient of ingredient and the field trash is more than identification standard, it is unqualified which will cause flaw detection, by such The content of the ingredient of the ingredient of field trash and the field trash is set as field trash indication information.By the default field trash index Information inputs in each group of training data as the second label data, can be with the continuous casting billet that inputs in training pattern Image information compares training.
S103: the output information of the training pattern is obtained, wherein the output information includes the continuous casting billet image letter Cease corresponding continuous casting billet center metallographic structure information and field trash information;
Specifically, through the above steps S102 by the continuous casting billet image information input training pattern compare training Afterwards, the output information of the training pattern is obtained.The output information includes the corresponding continuous casting billet of the continuous casting billet image information Center metallographic structure information and the corresponding field trash information of the continuous casting billet image information, i.e., the described continuous casting billet image information and mark Continuous casting billet center metallographic structure information, the continuous casting billet image information after knowing the comparison of continuous casting billet center metallographic structure label information With the field trash information after the comparison of default field trash indication information.
S104: according to the corresponding continuous casting billet center metallographic structure information of the continuous casting billet image information and field trash information, Screening and filtering is carried out to the continuous casting billet image information, obtains the qualified standard continuous casting billet image information of flaw detection.
Further, described according to the corresponding continuous casting billet center metallographic structure information of the continuous casting billet image information and being mingled with Object information carries out screening and filtering to the continuous casting billet image information, obtains the qualified standard continuous casting billet image information of flaw detection, packet It includes: judging whether the corresponding continuous casting billet center metallographic structure information of the continuous casting billet image information meets preassigned image;Such as The corresponding continuous casting billet center metallographic structure information of continuous casting billet image information described in fruit meets preassigned image, obtains predetermined be mingled with Object threshold value;If the corresponding continuous casting billet center metallographic structure information of the continuous casting billet image information does not meet preassigned image, The continuous casting billet image information is filtered out.
Further, after the predetermined field trash threshold value of acquisition, comprising: judge that the continuous casting billet image information is corresponding Whether field trash information reaches predetermined field trash threshold value;If the corresponding field trash information of the continuous casting billet image information does not reach To predetermined field trash threshold value, the qualified standard continuous casting billet image information of flaw detection is obtained;If the continuous casting billet image information is corresponding Field trash information reach predetermined field trash threshold value, the continuous casting billet image information is filtered out.
Specifically, by judging whether the corresponding continuous casting billet center metallographic structure information of the continuous casting billet image information accords with Close preassigned image, wherein the preassigned image is width, size and the depth of the qualified crackle of continuous casting billet flaw detection Predetermined threshold.Wherein, the corresponding continuous casting billet center metallographic structure information of the continuous casting billet image information is divided into two kinds of situations, and first Kind, if the corresponding continuous casting billet center metallographic structure information of the continuous casting billet image information meets preassigned image, obtain pre- Clamp sundries threshold value, that is to say, that the crackle in the corresponding continuous casting billet center metallographic structure information of the continuous casting billet image information It is more subtle, meet flaw detection qualification rate, is so as to further compare ingredient and the content of the field trash in the continuous casting billet It is no to will affect flaw detection qualification rate.Second, if the corresponding continuous casting billet center metallographic structure information of the continuous casting billet image information Preassigned image is not met, i.e., more apparent crackle occurs in the inside of the described continuous casting billet, and the data of the crackle have been more than institute Width, size and the depth of crackle specified in preassigned image are stated, therefore the continuous casting billet image information is filtered out, is filtered out The continuous casting billet is that flaw detection is underproof.Such as, there is subtle disconnected or continuous micro-flaw not in certain continuous casting billet center image Meet preassigned image, which is filtered out.Meanwhile in the corresponding continuous casting billet of the continuous casting billet image information In the first situation that metallographic structure information in center occurs, the subtle influence to flaw detection of the underbead crack of the continuous casting billet is little, The field trash in the continuous casting billet need to further be probed into.After obtaining predetermined field trash threshold value, the continuous casting billet image letter is judged It ceases corresponding field trash information and whether reaches predetermined field trash threshold value and be also classified into two kinds of situations, the first, if the continuous casting billet The corresponding field trash information of image information does not reach predetermined field trash threshold value, obtains the qualified standard continuous casting billet image letter of flaw detection The content of breath, i.e., the corresponding field trash of described continuous casting billet image information is lower, will not be because of extension in subsequent rolling process Large Inclusions are formed, therefore such continuous casting billet image information belongs to flaw detection qualification.Second, if the continuous casting billet image information Corresponding field trash information reaches predetermined field trash threshold value, and the continuous casting billet image information is filtered out, e.g., in certain continuous casting billet ingredient Al, Ca, O, Mg content are higher, these elements are exclusive for covering slag, and continuous casting billet extends in the subsequent operation of rolling, easy shape It is unqualified so as to cause detecting a flaw at multilayer chain Large Inclusions at center, therefore such continuous casting billet image information is filtered out.
Embodiment two
Based on inventive concept same as the raising method of continuous casting flaw detection qualification rate a kind of in previous embodiment, the present invention is also A kind of raising continuous casting flaw detection qualification rate device is provided, as shown in Figure 2, comprising:
First obtains unit 11, for obtaining continuous casting billet image information;
First input unit 12, for the continuous casting billet image information to be inputted training pattern, wherein the training pattern It is obtained by the training of multiple groups training data, each group of training data in training data in the multiple groups includes: the company Slab image information, mark continuous casting billet center metallographic structure label information and default field trash indication information;
First output unit 13, for obtaining the output information of the training pattern, wherein the output information includes institute State the corresponding continuous casting billet center metallographic structure information of continuous casting billet image information and field trash information;
Second obtaining unit 14, for according to the corresponding continuous casting billet center metallographic structure information of the continuous casting billet image information With field trash information, screening and filtering is carried out to the continuous casting billet image information, obtains the qualified standard continuous casting billet image letter of flaw detection Breath.
Further, continuous casting billet image information is obtained described in the first obtains unit, comprising:
Third obtaining unit, for obtaining continuous casting billet image information to be detected;
4th obtaining unit obtains the continuous casting for pre-processing to the continuous casting billet image information to be detected Base image information, wherein the continuous casting billet image information is size, ratio, the identical image information of pixel.
Further, each group of training data in the training data in multiple groups described in first input unit includes Identify continuous casting billet center metallographic structure label information, comprising:
5th obtaining unit, for obtaining the crackle in the metallographic structure of continuous casting billet center;
Whether the first judging unit, the crackle for judging in the metallographic structure of the continuous casting billet center meet preassigned figure Picture;
6th obtaining unit, for not meeting preassigned image when the crackle in the metallographic structure of the continuous casting billet center When, obtain mark continuous casting billet center metallographic structure label information;
Second input unit, for using the mark continuous casting billet center metallographic structure label information as the first number of tags According in the input each group of training data.
Further, each group of training data in the training data in multiple groups described in first input unit includes Default field trash indication information, comprising:
7th obtaining unit, for obtaining the content of the ingredient of the ingredient of field trash and the field trash in continuous casting billet;
8th obtaining unit, for according to the acquisition of the content of the ingredient of the field trash and the ingredient of the field trash Default field trash indication information;
Third input unit, for inputting described every using the default field trash indication information as the second label data In one group of training data.
Further, according to the corresponding continuous casting billet center of the continuous casting billet image information described in second obtaining unit Metallographic structure information and field trash information carry out screening and filtering to the continuous casting billet image information, obtain the qualified standard of flaw detection Continuous casting billet image information, comprising:
Second judgment unit, for judging that the corresponding continuous casting billet center metallographic structure information of the continuous casting billet image information is It is no to meet preassigned image;
9th obtaining unit, if for the corresponding continuous casting billet center metallographic structure information symbol of the continuous casting billet image information Preassigned image is closed, predetermined field trash threshold value is obtained;
First execution unit, if not for the corresponding continuous casting billet center metallographic structure information of the continuous casting billet image information Meet preassigned image, the continuous casting billet image information is filtered out.
Further, after the 9th obtaining unit, comprising:
Third judging unit, for judging whether the corresponding field trash information of the continuous casting billet image information reaches pre- clamp Sundries threshold value;
Tenth obtaining unit, if not reaching pre- clamp for the corresponding field trash information of the continuous casting billet image information Sundries threshold value obtains the qualified standard continuous casting billet image information of flaw detection;
Second execution unit, if reaching predetermined field trash for the corresponding field trash information of the continuous casting billet image information Threshold value filters out the continuous casting billet image information.
One of 1 embodiment one of earlier figures improves the various change mode and specific reality of the method for continuous casting flaw detection qualification rate Example is equally applicable to a kind of raising continuous casting flaw detection qualification rate device of the present embodiment, is closed by aforementioned detect a flaw to a kind of raising continuous casting The detailed description of the method for lattice rate, those skilled in the art are clear that a kind of raising continuous casting flaw detection conjunction in the present embodiment The implementation method of lattice rate device, so this will not be detailed here in order to illustrate the succinct of book.
Embodiment three
Based on inventive concept same as the raising method of continuous casting flaw detection qualification rate a kind of in previous embodiment one, the present invention A kind of computer readable storage medium is also provided, computer program is stored thereon with, before being realized when which is executed by processor A kind of the step of text either method method for improving continuous casting flaw detection qualification rate.
Wherein, in Fig. 3, bus architecture (is represented) with bus 300, and bus 300 may include any number of interconnection Bus and bridge, bus 300 will include the one or more processors represented by processor 302 and what memory 304 represented deposits The various circuits of reservoir link together.Bus 300 can also will peripheral equipment, voltage-stablizer and management circuit etc. it Various other circuits of class link together, and these are all it is known in the art, therefore, no longer carry out further to it herein Description.Bus interface 306 provides interface between bus 300 and receiver 301 and transmitter 303.Receiver 301 and transmitter 303 can be the same element, i.e. transceiver, provide the unit for communicating over a transmission medium with various other devices.Place It manages device 302 and is responsible for management bus 300 and common processing, and memory 304 can be used for storage processor 302 and execute behaviour Used data when making.
Said one or multiple technical solutions in the embodiment of the present application at least have following one or more technology effects Fruit:
The method and device for the raising continuous casting flaw detection qualification rate that this specification embodiment provides, passes through the continuous casting billet that will be obtained Image information inputs training pattern, wherein the training pattern is obtained by the training of multiple groups training data, the instruction in the multiple groups Practicing each group of training data in data includes: the continuous casting billet image information, mark continuous casting billet center metallographic structure label Information and default field trash indication information;By by the mark continuous casting billet center metallographic in continuous casting billet image information and training pattern Tissue label information and default field trash indication information are compared, and obtain the output information of the training pattern, wherein described Output information includes the corresponding continuous casting billet center metallographic structure information of the continuous casting billet image information and field trash information;According to institute The corresponding continuous casting billet center metallographic structure information of continuous casting billet image information and field trash information are stated, to the continuous casting billet image information Screening and filtering is carried out, the qualified standard continuous casting billet image information of flaw detection is obtained, is able to solve due to continuous casting billet during the rolling process Easily there is Large Inclusions, micro-crack, and easily aggravation continuous casting billet center segregation and banded structure, causes to detect a flaw unqualified, and nothing Method quickly identifies the technical issues of flaw detection qualification rate of continuous casting billet, has reached the flaw detection qualification rate for improving continuous casting billet, and reduction is mingled with Object content guarantees the internal soundness of continuous casting billet, reduces the technical effect of production cost.
It should be understood by those skilled in the art that, the embodiment of the present invention can provide as method, system or computer program Product.Therefore, complete hardware embodiment, complete software embodiment or reality combining software and hardware aspects can be used in the present invention Apply the form of example.Moreover, it wherein includes the computer of computer usable program code that the present invention, which can be used in one or more, The computer program implemented in usable storage medium (including but not limited to magnetic disk storage, CD-ROM, optical memory etc.) produces The form of product.
This specification is referring to the method, equipment (system) and computer program product according to this specification embodiment Flowchart and/or the block diagram describes.It should be understood that can be realized by computer program instructions every in flowchart and/or the block diagram The combination of process and/or box in one process and/or box and flowchart and/or the block diagram.It can provide these computers Processor of the program instruction to general purpose computer, special purpose computer, Embedded Processor or other programmable data processing devices To generate a machine, so that generating use by the instruction that computer or the processor of other programmable data processing devices execute In setting for the function that realization is specified in one or more flows of the flowchart and/or one or more blocks of the block diagram It is standby.
These computer program instructions, which may also be stored in, is able to guide computer or other programmable data processing devices with spy Determine in the computer-readable memory that mode works, so that it includes referring to that instruction stored in the computer readable memory, which generates, Enable the manufacture of equipment, the commander equipment realize in one box of one or more flows of the flowchart and/or block diagram or The function of being specified in multiple boxes.
These computer program instructions also can be loaded onto a computer or other programmable data processing device, so that counting Series of operation steps are executed on calculation machine or other programmable devices to generate computer implemented processing, thus in computer or The instruction executed on other programmable devices is provided for realizing in one or more flows of the flowchart and/or block diagram one The step of function of being specified in a box or multiple boxes.
Although the preferred embodiment of this specification has been described, once a person skilled in the art knows basic wounds The property made concept, then additional changes and modifications may be made to these embodiments.So the following claims are intended to be interpreted as includes Preferred embodiment and all change and modification for falling into this specification range.
Obviously, those skilled in the art can carry out various modification and variations without departing from this specification to this specification Spirit and scope.In this way, if these modifications and variations of this specification belong to this specification claim and its equivalent skill Within the scope of art, then this specification is also intended to include these modifications and variations.

Claims (9)

1. a kind of method for improving continuous casting flaw detection qualification rate, which is characterized in that the described method includes:
Obtain continuous casting billet image information;
The continuous casting billet image information is inputted into training pattern, wherein the training pattern is obtained by the training of multiple groups training data , each group of training data in the training data in the multiple groups includes: the continuous casting billet image information, mark continuous casting billet Center metallographic structure label information and default field trash indication information;
Obtain the output information of the training pattern, wherein the output information includes that the continuous casting billet image information is corresponding Continuous casting billet center metallographic structure information and field trash information;
According to the corresponding continuous casting billet center metallographic structure information of the continuous casting billet image information and field trash information, to the continuous casting Base image information carries out screening and filtering, obtains the qualified standard continuous casting billet image information of flaw detection.
2. the method as described in claim 1, which is characterized in that the acquisition continuous casting billet image information, comprising:
Obtain continuous casting billet image information to be detected;
The continuous casting billet image information to be detected is pre-processed, obtains the continuous casting billet image information, wherein the company Slab image information is size, ratio, the identical image information of pixel.
3. the method as described in claim 1, which is characterized in that each group of training data in the training data in the multiple groups Including identifying continuous casting billet center metallographic structure label information, comprising:
Obtain the crackle in the metallographic structure of continuous casting billet center;
Judge whether the crackle in the metallographic structure of the continuous casting billet center meets preassigned image;
When the crackle in the metallographic structure of the continuous casting billet center does not meet preassigned image, mark continuous casting billet center gold is obtained Phase constitution label information;
Using the mark continuous casting billet center metallographic structure label information as the first label data, each group of trained number is inputted In.
4. the method as described in claim 1, which is characterized in that each group of training data in the training data in the multiple groups Including presetting field trash indication information, comprising:
Obtain the content of the ingredient of the ingredient and field trash of field trash in continuous casting billet;
The default field trash indication information is obtained according to the content of the ingredient of the field trash and the ingredient of the field trash;
Using the default field trash indication information as the second label data, input in each group of training data.
5. method as claimed in claim 3, which is characterized in that described according to the corresponding continuous casting billet of the continuous casting billet image information Center metallographic structure information and field trash information carry out screening and filtering to the continuous casting billet image information, obtain flaw detection qualification Standard continuous casting billet image information, comprising:
Judge whether the corresponding continuous casting billet center metallographic structure information of the continuous casting billet image information meets preassigned image;
If the corresponding continuous casting billet center metallographic structure information of the continuous casting billet image information meets preassigned image, obtain pre- Clamp sundries threshold value;
If the corresponding continuous casting billet center metallographic structure information of the continuous casting billet image information does not meet preassigned image, by institute Continuous casting billet image information is stated to filter out.
6. method as claimed in claim 5, which is characterized in that after the predetermined field trash threshold value of acquisition, comprising:
Judge whether the corresponding field trash information of the continuous casting billet image information reaches predetermined field trash threshold value;
If the corresponding field trash information of the continuous casting billet image information does not reach predetermined field trash threshold value, it is qualified to obtain flaw detection Standard continuous casting billet image information;
If the corresponding field trash information of the continuous casting billet image information reaches predetermined field trash threshold value, by the continuous casting billet image Information Filtration.
7. a kind of device for improving continuous casting flaw detection qualification rate, which is characterized in that described device includes:
First obtains unit, for obtaining continuous casting billet image information;
First input unit, for the continuous casting billet image information to be inputted training pattern, wherein the training pattern passes through more Group training data training obtains, and each group of training data in training data in the multiple groups includes: the continuous casting billet figure As information, mark continuous casting billet center metallographic structure label information and default field trash indication information;
First output unit, for obtaining the output information of the training pattern, wherein the output information includes the continuous casting The corresponding continuous casting billet center metallographic structure information of base image information and field trash information;
Second obtaining unit, for according to the corresponding continuous casting billet center metallographic structure information of the continuous casting billet image information and being mingled with Object information carries out screening and filtering to the continuous casting billet image information, obtains the qualified standard continuous casting billet image information of flaw detection.
8. a kind of computer readable storage medium, is stored thereon with computer program, which is characterized in that the program is held by processor The step of any one of claim 1-6 the method is realized when row.
9. a kind of device for improving continuous casting flaw detection qualification rate, including memory, processor and storage on a memory and can located The computer program run on reason device, which is characterized in that the processor realizes that claim 1-6 is any when executing described program The step of item the method.
CN201910777803.0A 2019-08-22 2019-08-22 Method and device for improving continuous casting flaw detection qualification rate Active CN110490862B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201910777803.0A CN110490862B (en) 2019-08-22 2019-08-22 Method and device for improving continuous casting flaw detection qualification rate

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201910777803.0A CN110490862B (en) 2019-08-22 2019-08-22 Method and device for improving continuous casting flaw detection qualification rate

Publications (2)

Publication Number Publication Date
CN110490862A true CN110490862A (en) 2019-11-22
CN110490862B CN110490862B (en) 2022-08-09

Family

ID=68552900

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201910777803.0A Active CN110490862B (en) 2019-08-22 2019-08-22 Method and device for improving continuous casting flaw detection qualification rate

Country Status (1)

Country Link
CN (1) CN110490862B (en)

Cited By (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112182910A (en) * 2020-10-21 2021-01-05 江苏中利集团股份有限公司 Method and device for controlling preparation effect of cross-linked material
CN112182874A (en) * 2020-09-25 2021-01-05 江苏中利集团股份有限公司 Method and device for improving performance of polymer material based on toughness and heat resistance
CN112182979A (en) * 2020-10-21 2021-01-05 江苏中利集团股份有限公司 Method and device for improving compatibility effect of resin and filling aid
CN112331280A (en) * 2020-10-21 2021-02-05 江苏中利集团股份有限公司 Processing method and device for flame retardant modification technology
CN112396131A (en) * 2020-12-11 2021-02-23 广西味豪食品有限公司 Papaya shred quality monitoring method and device
CN112666912A (en) * 2020-12-31 2021-04-16 南通市天赫软件科技有限公司 Dyeing control method and device for textile printing and dyeing
CN112818810A (en) * 2021-01-27 2021-05-18 广西融安蚂蚁农业发展有限公司 Kumquat intelligent sorting method and device based on big data

Citations (14)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP1355145A1 (en) * 2002-04-19 2003-10-22 Central Iron & Steel Research Institute A method for analysing metals in the fundamental state utilizing the statistical distribution of elements
CN1651905A (en) * 2005-02-05 2005-08-10 石家庄钢铁股份有限公司 Quantitative analyzing method for non-metal residue in steel
CN101995489A (en) * 2010-09-29 2011-03-30 山西太钢不锈钢股份有限公司 Method for inspecting inclusion of steel for low temperature pressure vessel
CN102608126A (en) * 2012-02-23 2012-07-25 中冶连铸技术工程股份有限公司 On-line detection method and device for surface defects of high-temperature continuously cast bloom
CN102637258A (en) * 2012-04-01 2012-08-15 首钢总公司 Method for creating online surface quality detection system defect library
CN102937784A (en) * 2012-10-30 2013-02-20 中冶南方工程技术有限公司 Artificial neural network based method for controlling online prediction of casting billet quality
CN103245711A (en) * 2013-04-18 2013-08-14 沈阳理工大学 Neutral network-based molten aluminum nonmetallic inclusion online soft measurement device and method
CN109087280A (en) * 2018-07-02 2018-12-25 北京百度网讯科技有限公司 Continuous casting billet quality detection method, device, control equipment, server and medium
CN109142533A (en) * 2018-10-22 2019-01-04 广东工业大学 A kind of rapid detection method and equipment of internal defect in cast
CN109472798A (en) * 2018-12-10 2019-03-15 重庆理工大学 Live pig fat content detection model training method and live pig fat content detection method
CN109658396A (en) * 2018-12-06 2019-04-19 华中科技大学 A kind of casting x-ray image defect identification method based on selective search and CNN
CN109668897A (en) * 2019-03-04 2019-04-23 南京大学 The vision detection system and its detection method of cyclic annular precision component surface micro defect
CN109743879A (en) * 2016-12-30 2019-05-10 同济大学 A kind of underground pipe gallery leakage detection method based on the processing of Dynamic IR thermography
CN109856359A (en) * 2019-01-31 2019-06-07 江苏省沙钢钢铁研究院有限公司 Method for acquiring continuous casting billet center segregation quantitative standard

Patent Citations (14)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP1355145A1 (en) * 2002-04-19 2003-10-22 Central Iron & Steel Research Institute A method for analysing metals in the fundamental state utilizing the statistical distribution of elements
CN1651905A (en) * 2005-02-05 2005-08-10 石家庄钢铁股份有限公司 Quantitative analyzing method for non-metal residue in steel
CN101995489A (en) * 2010-09-29 2011-03-30 山西太钢不锈钢股份有限公司 Method for inspecting inclusion of steel for low temperature pressure vessel
CN102608126A (en) * 2012-02-23 2012-07-25 中冶连铸技术工程股份有限公司 On-line detection method and device for surface defects of high-temperature continuously cast bloom
CN102637258A (en) * 2012-04-01 2012-08-15 首钢总公司 Method for creating online surface quality detection system defect library
CN102937784A (en) * 2012-10-30 2013-02-20 中冶南方工程技术有限公司 Artificial neural network based method for controlling online prediction of casting billet quality
CN103245711A (en) * 2013-04-18 2013-08-14 沈阳理工大学 Neutral network-based molten aluminum nonmetallic inclusion online soft measurement device and method
CN109743879A (en) * 2016-12-30 2019-05-10 同济大学 A kind of underground pipe gallery leakage detection method based on the processing of Dynamic IR thermography
CN109087280A (en) * 2018-07-02 2018-12-25 北京百度网讯科技有限公司 Continuous casting billet quality detection method, device, control equipment, server and medium
CN109142533A (en) * 2018-10-22 2019-01-04 广东工业大学 A kind of rapid detection method and equipment of internal defect in cast
CN109658396A (en) * 2018-12-06 2019-04-19 华中科技大学 A kind of casting x-ray image defect identification method based on selective search and CNN
CN109472798A (en) * 2018-12-10 2019-03-15 重庆理工大学 Live pig fat content detection model training method and live pig fat content detection method
CN109856359A (en) * 2019-01-31 2019-06-07 江苏省沙钢钢铁研究院有限公司 Method for acquiring continuous casting billet center segregation quantitative standard
CN109668897A (en) * 2019-03-04 2019-04-23 南京大学 The vision detection system and its detection method of cyclic annular precision component surface micro defect

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
SHUIGEN WANG 等,: "development and application of CISDI online slab quality diagnosis & analysis system", 《ADVANCED MATERIALS RESEARCH》 *
陈丹,: "钢中夹杂物的高频水浸超声检测与评价方法研究", 《中国博士学位论文全文数据库工程科技Ⅰ辑》 *

Cited By (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112182874A (en) * 2020-09-25 2021-01-05 江苏中利集团股份有限公司 Method and device for improving performance of polymer material based on toughness and heat resistance
CN112182874B (en) * 2020-09-25 2022-12-16 江苏中利集团股份有限公司 Method and device for improving performance of polymer material based on toughness and heat resistance
CN112182910A (en) * 2020-10-21 2021-01-05 江苏中利集团股份有限公司 Method and device for controlling preparation effect of cross-linked material
CN112182979A (en) * 2020-10-21 2021-01-05 江苏中利集团股份有限公司 Method and device for improving compatibility effect of resin and filling aid
CN112331280A (en) * 2020-10-21 2021-02-05 江苏中利集团股份有限公司 Processing method and device for flame retardant modification technology
CN112182910B (en) * 2020-10-21 2022-12-20 江苏中利集团股份有限公司 Method and device for controlling preparation effect of cross-linked material
CN112331280B (en) * 2020-10-21 2023-01-17 江苏中利集团股份有限公司 Processing method and device for flame retardant modification technology
CN112182979B (en) * 2020-10-21 2023-01-17 江苏中利集团股份有限公司 Method and device for improving compatibility effect of resin and filling aid
CN112396131A (en) * 2020-12-11 2021-02-23 广西味豪食品有限公司 Papaya shred quality monitoring method and device
CN112666912A (en) * 2020-12-31 2021-04-16 南通市天赫软件科技有限公司 Dyeing control method and device for textile printing and dyeing
CN112818810A (en) * 2021-01-27 2021-05-18 广西融安蚂蚁农业发展有限公司 Kumquat intelligent sorting method and device based on big data

Also Published As

Publication number Publication date
CN110490862B (en) 2022-08-09

Similar Documents

Publication Publication Date Title
CN110490862A (en) A kind of method and device improving continuous casting flaw detection qualification rate
WO2021036636A1 (en) Vibration detection method and apparatus for lifting device, server and storage medium
CN110503641A (en) A kind of method and apparatus improving continuous casting billet face crack
CN114926463B (en) Production quality detection method suitable for chip circuit board
WO2006063268B1 (en) Computer-implemented methods for detecting and/or sorting defects in a design pattern of a reticle
CN110533032A (en) A kind of method and apparatus obtaining high-purity cryogenic steel
CN106789844B (en) Malicious user identification method and device
CN107240092A (en) A kind of image blur detection method and device
CN109724993A (en) Detection method, device and the storage medium of the degree of image recognition apparatus
CN104749801B (en) High Precision Automatic optical detecting method and system
CN109614873A (en) Train safety sign detection method, server and storage medium neural network based
CN112749735B (en) Converter tapping steel flow identification method, system, medium and terminal based on deep learning
CN104243967A (en) Image detection method and device
CN110394432A (en) A kind of method of inspection and device of continuous casting protection pouring
CN110631475B (en) On-site target size detection method
US20230048649A1 (en) Method of processing image, electronic device, and medium
CN109584224B (en) Method for analyzing and displaying X-ray image of casting
CN110532924A (en) A kind of identifying processing method and device of high heat resistance steel
JP5257063B2 (en) Defect detection method and defect detection apparatus
CN107767372B (en) Chip pin online visual detection system and method for layered parallel computing
CN112650789B (en) Monitoring and early warning system for steel product data channel
CN104463180B (en) The method for identifying conducting particles press mark
CN107578168A (en) A kind of method, apparatus and electronic equipment for the transplanting of defect storehouse
CN114663365A (en) Defect detection method, device and computer storage medium
CN106778675A (en) A kind of recognition methods of target in video image object and device

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant