CN113654823A - Automatic intelligent sampling system for cold-rolled strip steel - Google Patents

Automatic intelligent sampling system for cold-rolled strip steel Download PDF

Info

Publication number
CN113654823A
CN113654823A CN202110955926.6A CN202110955926A CN113654823A CN 113654823 A CN113654823 A CN 113654823A CN 202110955926 A CN202110955926 A CN 202110955926A CN 113654823 A CN113654823 A CN 113654823A
Authority
CN
China
Prior art keywords
sample
cutting
cold
sampling
steel
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.)
Pending
Application number
CN202110955926.6A
Other languages
Chinese (zh)
Inventor
宋志超
朱坦华
鲁安平
赵晓萌
祁国强
韩秀敏
田文波
王自学
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.)
Handan Iron and Steel Group Co Ltd
HBIS Co Ltd Handan Branch
Original Assignee
Handan Iron and Steel Group Co Ltd
HBIS Co Ltd Handan Branch
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 Handan Iron and Steel Group Co Ltd, HBIS Co Ltd Handan Branch filed Critical Handan Iron and Steel Group Co Ltd
Priority to CN202110955926.6A priority Critical patent/CN113654823A/en
Publication of CN113654823A publication Critical patent/CN113654823A/en
Pending legal-status Critical Current

Links

Images

Classifications

    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N1/00Sampling; Preparing specimens for investigation
    • G01N1/02Devices for withdrawing samples
    • G01N1/04Devices for withdrawing samples in the solid state, e.g. by cutting

Abstract

The invention relates to an automatic intelligent sampling system for cold-rolled strip steel, and belongs to the technical field of cold-rolled production equipment. The technical scheme of the invention is as follows: the output end of the decision system is connected with the number spraying and cutting system, the sample collecting system is arranged below the number spraying and cutting system, and the automatic detection system is connected with the sample collecting system. The invention has the beneficial effects that: the position, the direction and the type of a sample to be taken are automatically judged through a decision-making system, a final standard sample is directly manufactured on a production unit innovatively, intermediate links such as sample collection, transportation, counting, processing and recording systems are omitted, manual transportation and transportation samples are greatly reduced, the workload of manual counting and processing is reduced, misoperation is reduced, space is saved, interested positions can be automatically sampled and uploaded to the system, and in addition, performance data can be uploaded respectively in each small batch sample detection for special products such as high-strength steel.

Description

Automatic intelligent sampling system for cold-rolled strip steel
Technical Field
The invention relates to an automatic intelligent sampling system for cold-rolled strip steel, and belongs to the technical field of cold-rolled production equipment.
Background
The quality control of the cold-rolled strip steel product is obtained by manual sampling and detection, namely, in the production process of a steel coil, a section of strip steel sample is manually cut and sent to an inspection center for carrying out related item detection on mechanical property, coating weight and the like. The current sampling mode is to manually operate shearing equipment, shear a section of strip steel and transport the strip steel to an inspection and testing center by using tools such as a forklift. Checking the transmitted sample plate by the staff of the checking and testing center, stamping the sample plate into a standard sample for detecting the tensile size of the mechanical property or the weight of the coating by using special equipment after marking, then carrying out detection tests on the mechanical property or the weight, the adhesion and the like of the zinc layer, and finally uploading the detection result to the system.
The existing cold-rolled strip steel sampling detection method has the following inconveniences: the traditional sampling device needs to be designed with a complicated sample plate and waste material separation (such as a magnetic sorting mechanism) device, a sample collection lifting platform and other mechanisms, and the mechanism occupies a large space and has high equipment failure rate. The manual sampling consumes a large amount of manpower, on one hand, a cold rolling or galvanizing unit needs to manually carry samples and mark the samples (by a label pasting mode) and use a forklift and other tools to convey the samples to an inspection center, on the other hand, the inspection center needs a large amount of personnel to receive and count the samples, then the samples are punched and processed by a milling machine, the samples are marked by a handwriting mode, and then various types of detection are carried out. Because the steps of strip steel sampling, sample feeding, counting, processing, marking and the like are all operated manually, errors are easy to occur. Due to manual sampling, the position information of the sample plate in the whole volume cannot be accurately identified, and accurate information cannot be provided for subsequent big data analysis. According to different standards, the position requirements or sampling direction requirements of samples to be processed are not uniform, and manual operation is easy to cause disorder. The area of the manually sampled plate is large and greatly exceeds the area required by an actual inspection sample, so that material waste is caused; because the sample plate of the cold-rolled steel coil needs to be reserved for a period of time for rechecking, a large number of sample plates can be reserved and accumulated on site, and a large amount of space is occupied.
Disclosure of Invention
The invention aims to provide an automatic intelligent sampling system for cold-rolled strip steel, which automatically judges the position, direction and type of a sample to be taken through a decision-making system, creatively and directly manufactures a final standard sample on a production unit, omits intermediate links such as sample plate collection, transportation, counting, processing, recording and the like, greatly reduces the workload of manual transportation and transportation of the sample plate, counts the processing workload manually, reduces misoperation, saves space, can automatically sample and upload interested positions, can realize that performance data are respectively uploaded for each small coiling sample detection aiming at special products such as high-strength steel and the like, and effectively solves the problems in the background technology.
The technical scheme of the invention is as follows: an automatic intelligent sampling system for cold-rolled strip steel comprises a decision-making system, a number spraying and cutting system, a sample collecting system and an automatic detection system, wherein the output end of the decision-making system is connected with the number spraying and cutting system; the number spraying and cutting system comprises a transverse and longitudinal movable sliding rail device, a cutting unit and a code spraying unit, wherein the cutting unit and the code spraying unit are located on the transverse and longitudinal movable sliding rail device, and strip steel passes through the lower part of the transverse and longitudinal movable sliding rail device; the sample collection system comprises a transmission belt, a chute and a sample collection hopper, wherein the chute is connected with the tail end of the transmission belt and the sample collection hopper; the automatic detection system comprises a two-dimensional code scanning gun and an automatic detection robot.
The decision system a) has the function of on-line prediction of mechanical properties, namely, parameters influencing the properties including chemical components of steel, a rolling process of a hot rolling unit and an annealing process of a cold rolling unit are collected according to a machine learning or deep learning algorithm, and the mechanical properties of the steel coil in the length direction are predicted;
b) according to a preset rule, the steel coil with a qualified common mark or performance prediction is not sampled, and the steel coil with an unqualified performance prediction is subjected to sampling frequency increase;
c) automatically identifying the standard size, the number and the direction of the sample according to a preset rule;
d) and performing differentiated sampling operation on different brands according to a preset rule, such as sampling each sub-coil aiming at the high-strength steel product.
The spraying number and cutting system comprises a) a spraying number mark containing a two-dimensional code, wherein the two-dimensional code information contains a steel coil number, a mark number, a sampling position, width and thickness, and the sampling position comprises X and Y coordinates.
b) Automatically cutting a sample on the marked sample plate, and automatically processing a standard sample by a cutting device, wherein the standard sample comprises but is not limited to a mechanical tensile sample with a gauge length of 80, a mechanical tensile sample with a gauge length of 50 and a standard circular sample plate for zinc layer weight detection;
c) the cutting unit is used for stamping cutting or laser cutting, and can cut standard performance patterns with different directions and different requirements.
The invention has the beneficial effects that: the position, the direction and the type of a sample to be taken are automatically judged through a decision-making system, a final standard sample is directly manufactured on a production unit innovatively, intermediate links such as sample collection, transportation, counting, processing and recording systems are omitted, manual transportation and transportation samples are greatly reduced, the workload of manual counting and processing is reduced, misoperation is reduced, space is saved, interested positions can be automatically sampled and uploaded to the system, and in addition, performance data can be uploaded respectively in each small batch sample detection for special products such as high-strength steel.
Drawings
FIG. 1 is a schematic structural view of the present invention;
FIG. 2 is a schematic diagram of a standard mechanical property test sample surface spray mark provided by an embodiment of the present invention;
in the figure: the device comprises strip steel 1, a transverse and longitudinal moving slide rail device 2, a cutting unit 3, a code spraying unit 4, a first sample 5, a second sample 6, a transmission belt 7, a chute 8 and a sample collecting hopper 9.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the following will clearly and completely describe the technical solutions of the embodiments of the present invention with reference to the drawings of the embodiments, and it is obvious that the described embodiments are a small part of the embodiments of the present invention, rather than all embodiments, and all other embodiments obtained by a person of ordinary skill in the art without creative work based on the embodiments of the present invention belong to the protection scope of the present invention.
An automatic intelligent sampling system for cold-rolled strip steel comprises a decision-making system, a number spraying and cutting system, a sample collecting system and an automatic detection system, wherein the output end of the decision-making system is connected with the number spraying and cutting system; the number spraying and cutting system comprises a transverse and longitudinal movable sliding rail device 2, a cutting unit 3 and a code spraying unit 4, wherein the cutting unit 3 and the code spraying unit 4 are located on the transverse and longitudinal movable sliding rail device 2, and the strip steel 1 passes below the transverse and longitudinal movable sliding rail device 2; the sample collection system comprises a transmission belt 7, a chute 8 and a sample collection hopper 9, wherein the chute 8 is connected with the tail end of the transmission belt 7 and the sample collection hopper 9; the automatic detection system comprises a two-dimensional code scanning gun and an automatic detection robot.
The decision system a) has the function of on-line prediction of mechanical properties, namely, parameters influencing the properties including chemical components of steel, a rolling process of a hot rolling unit and an annealing process of a cold rolling unit are collected according to a machine learning or deep learning algorithm, and the mechanical properties of the steel coil in the length direction are predicted;
b) according to a preset rule, the steel coil with a qualified common mark or performance prediction is not sampled, and the steel coil with an unqualified performance prediction is subjected to sampling frequency increase;
c) automatically identifying the standard size, the number and the direction of the sample according to a preset rule;
d) and performing differentiated sampling operation on different grades according to a preset rule, such as sampling on the high-strength steel product before and after the welding seam and each sub-coil.
The spraying number and cutting system comprises a) a spraying number mark containing a two-dimensional code, wherein the two-dimensional code information contains a steel coil number, a mark number, a sampling position, width and thickness, and the sampling position comprises X and Y coordinates.
b) Automatically cutting a sample on the marked sample plate, and automatically processing a standard sample by a cutting device, wherein the standard sample comprises but is not limited to a mechanical tensile sample with a gauge length of 80, a mechanical tensile sample with a gauge length of 50 and a standard circular sample plate for zinc layer weight detection;
c) the cutting unit is used for stamping cutting or laser cutting, and can cut standard performance patterns with different directions and different requirements.
In practical application, the cutting unit 3 and the code spraying unit 4 are located on the transverse and longitudinal movable slide rail device 2, and the cutting unit 3 and the code spraying unit 4 can cut standard samples in any direction within a certain range of the strip steel 1 under the control of a decision system (the first sample 5 is used for coating weight detection, and the second sample 6 is used for mechanical tensile detection). And meanwhile, spraying numbers at the position of the sheared sample automatically for marking the sample.
The sheared sample falls into a sample collection system comprising a conveyor belt 7, a chute 8 and a sample collection hopper 9.
The full-automatic detection device realizes full-automatic sample identification, automatic performance detection and uploading to the system through the two-dimensional code scanning gun and the automatic detection robot.

Claims (3)

1. An automatic intelligent sampling system of cold-rolled steel strip is characterized in that: the automatic detection system is connected with the sample collection system; the number spraying and cutting system comprises a transverse and longitudinal movable sliding rail device (2), a cutting unit (3) and a code spraying unit (4), wherein the cutting unit (3) and the code spraying unit (4) are located on the transverse and longitudinal movable sliding rail device (2), and strip steel (1) passes through the lower part of the transverse and longitudinal movable sliding rail device (2); the sample collection system comprises a transmission belt (7), a chute (8) and a sample collection hopper (9), wherein the chute (8) is connected with the tail end of the transmission belt (7) and the sample collection hopper (9); the automatic detection system comprises a two-dimensional code scanning gun and an automatic detection robot.
2. The automatic intelligent sampling system of the cold-rolled steel strip as claimed in claim 1, wherein: the decision system a) has the function of on-line prediction of mechanical properties, namely, parameters influencing the properties including chemical components of steel, a rolling process of a hot rolling unit and an annealing process of a cold rolling unit are collected according to a machine learning or deep learning algorithm, and the mechanical properties of the steel coil in the length direction are predicted;
b) according to a preset rule, the steel coil with a qualified common mark or performance prediction is not sampled, and the steel coil with an unqualified performance prediction is subjected to sampling frequency increase;
c) automatically identifying the standard size, the number and the direction of the sample according to a preset rule;
d) and performing differentiated sampling operation on different grades according to a preset rule, such as sampling on the high-strength steel product before and after the welding seam and each sub-coil.
3. The automatic intelligent sampling system of the cold-rolled steel strip as claimed in claim 1, wherein: in the spraying and cutting system, a) the spraying mark comprises a two-dimensional code, the two-dimensional code information comprises a coil number, a mark number, a sampling position, a width and a thickness of the steel coil, and the sampling position comprises X and Y coordinates;
b) automatically cutting a sample on the marked sample plate, and automatically processing a standard sample by a cutting device, wherein the standard sample comprises but is not limited to a mechanical tensile sample with a gauge length of 80, a mechanical tensile sample with a gauge length of 50 and a standard circular sample plate for zinc layer weight detection;
c) the cutting unit is used for stamping cutting or laser cutting, and can cut standard performance patterns with different directions and different requirements.
CN202110955926.6A 2021-08-19 2021-08-19 Automatic intelligent sampling system for cold-rolled strip steel Pending CN113654823A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202110955926.6A CN113654823A (en) 2021-08-19 2021-08-19 Automatic intelligent sampling system for cold-rolled strip steel

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202110955926.6A CN113654823A (en) 2021-08-19 2021-08-19 Automatic intelligent sampling system for cold-rolled strip steel

Publications (1)

Publication Number Publication Date
CN113654823A true CN113654823A (en) 2021-11-16

Family

ID=78481358

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202110955926.6A Pending CN113654823A (en) 2021-08-19 2021-08-19 Automatic intelligent sampling system for cold-rolled strip steel

Country Status (1)

Country Link
CN (1) CN113654823A (en)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114178321A (en) * 2021-11-17 2022-03-15 首钢智新迁安电磁材料有限公司 Method for reducing cold rolling force

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN200962091Y (en) * 2006-09-22 2007-10-17 中国第一重型机械集团公司 Steel board checking device
CN204675331U (en) * 2015-05-13 2015-09-30 中冶南方工程技术有限公司 Band steel sample devices
CN109262143A (en) * 2017-07-12 2019-01-25 上海宝钢工业技术服务有限公司 The intelligent machining system of sheet band steel strip test sample
CN110989510A (en) * 2019-11-12 2020-04-10 邯郸钢铁集团有限责任公司 Hot galvanizing product full-process quality control and grade automatic judgment system
CN112108619A (en) * 2020-11-23 2020-12-22 中国重型机械研究院股份公司 Continuous casting machine waste blank cutting and collecting system and method thereof
CN213445100U (en) * 2020-09-25 2021-06-15 湖南华菱湘潭钢铁有限公司 Automatic collecting device for steel plate sampling

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN200962091Y (en) * 2006-09-22 2007-10-17 中国第一重型机械集团公司 Steel board checking device
CN204675331U (en) * 2015-05-13 2015-09-30 中冶南方工程技术有限公司 Band steel sample devices
CN109262143A (en) * 2017-07-12 2019-01-25 上海宝钢工业技术服务有限公司 The intelligent machining system of sheet band steel strip test sample
CN110989510A (en) * 2019-11-12 2020-04-10 邯郸钢铁集团有限责任公司 Hot galvanizing product full-process quality control and grade automatic judgment system
CN213445100U (en) * 2020-09-25 2021-06-15 湖南华菱湘潭钢铁有限公司 Automatic collecting device for steel plate sampling
CN112108619A (en) * 2020-11-23 2020-12-22 中国重型机械研究院股份公司 Continuous casting machine waste blank cutting and collecting system and method thereof

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
欧鹏 等: "基于性能预报技术减少热轧带钢取样频率的探索" *
武智猛;王怀岐;祁国强;杨松坡;陈宏波;: "汽车外板用热镀锌板表面黑点缺陷形成分析与改进" *

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114178321A (en) * 2021-11-17 2022-03-15 首钢智新迁安电磁材料有限公司 Method for reducing cold rolling force

Similar Documents

Publication Publication Date Title
CN206921161U (en) It is a kind of to include inspection management and defect processing and the intelligent inspection system of examination
CN109709099B (en) Method and device for intelligently identifying surface defects of strip steel
CN109794518A (en) A kind of recognition methods that steel strip thickness is not inconsistent and its device
CN110082544A (en) A kind of concrete crushing strength intelligent detecting method and system
CN111069819A (en) Welding quality prediction system and method based on artificial intelligence
CN113654823A (en) Automatic intelligent sampling system for cold-rolled strip steel
CN102628812A (en) System and method for automatically judging subvolume surface quality grade
CN113743210A (en) Image recognition method and scrap grade recognition method
CN101949865B (en) Method for optimizing Parsytec on-line surface defect detection system
CN110274906A (en) A kind of cable automatic sample detection system and its method
CN106180880B (en) Thin plate detects automatically and cutting system
CN115941529A (en) Cable tunnel detection method and system based on robot
CN109240238A (en) The method that production was inspected and returned automatically to multistation based on AGV by random samples
CN109305428A (en) A kind of drip irrigation zone automatic packaging system and its packing method
CN104966184A (en) Wood-based panel wood raw material Internet of Things electronic weighing and checking integrated management system
CN115456963A (en) Stock yard belt deviation detection method and system based on visual identification
EP3012603B1 (en) Method and computer program for registering and quantification of characteristics of a production process
CN111754737A (en) Online identification and evaluation device and method for installation acceptance of metering device
CN101436066B (en) Real time information management method and system of high-frequency straight welded pipe production line
DE3344944A1 (en) Method of analysing steel during its manufacture and further processing
CN105823537A (en) Axial multi-hole medium automatic weighing, code printing and classification system and method
CN109706466B (en) Intelligent pickling inspection line, equipment arrangement structure and process inspection method for hot-rolled steel coil
US3373584A (en) Means for identifying defective wire and for rejecting articles made therefrom
CN102706296A (en) Detecting device and detecting method for thickness uniformity of silicon steel in width direction
CN211042944U (en) Device for detecting mechanical property on line

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