CN111735620A - Method, device and equipment for detecting shearing state of steel strip - Google Patents
Method, device and equipment for detecting shearing state of steel strip Download PDFInfo
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- CN111735620A CN111735620A CN202010610044.1A CN202010610044A CN111735620A CN 111735620 A CN111735620 A CN 111735620A CN 202010610044 A CN202010610044 A CN 202010610044A CN 111735620 A CN111735620 A CN 111735620A
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B23—MACHINE TOOLS; METAL-WORKING NOT OTHERWISE PROVIDED FOR
- B23Q—DETAILS, COMPONENTS, OR ACCESSORIES FOR MACHINE TOOLS, e.g. ARRANGEMENTS FOR COPYING OR CONTROLLING; MACHINE TOOLS IN GENERAL CHARACTERISED BY THE CONSTRUCTION OF PARTICULAR DETAILS OR COMPONENTS; COMBINATIONS OR ASSOCIATIONS OF METAL-WORKING MACHINES, NOT DIRECTED TO A PARTICULAR RESULT
- B23Q17/00—Arrangements for observing, indicating or measuring on machine tools
- B23Q17/24—Arrangements for observing, indicating or measuring on machine tools using optics or electromagnetic waves
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B23—MACHINE TOOLS; METAL-WORKING NOT OTHERWISE PROVIDED FOR
- B23D—PLANING; SLOTTING; SHEARING; BROACHING; SAWING; FILING; SCRAPING; LIKE OPERATIONS FOR WORKING METAL BY REMOVING MATERIAL, NOT OTHERWISE PROVIDED FOR
- B23D33/00—Accessories for shearing machines or shearing devices
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- Optics & Photonics (AREA)
- Investigating Materials By The Use Of Optical Means Adapted For Particular Applications (AREA)
Abstract
The embodiment of the invention discloses a method, a device and equipment for detecting the shearing state of a steel belt, which can save time and labor. The method for detecting the shearing state of the steel strip comprises the following steps: acquiring a production line state video near a flying shear, which is acquired by an image sensor; and in the period that the flying shear is in the shearing working state, counting the first movement times of the flying shear, which are in accordance with the movement characteristics of the shearing steel strip, through kinematic analysis, if the first movement times are not in accordance with the preset requirement, judging that the shearing state of the steel strip is abnormal, and sending fault prompt information.
Description
Technical Field
The embodiment of the invention relates to the field of image processing and video monitoring, in particular to a method, a device and equipment for detecting the shearing state of a steel strip.
Background
In a steel rolling production line, a steel strip is conveyed by a conveying belt to pass through a rolling mill to carry out flatness processing on the steel strip, the quality of a section of the head of the steel strip is poor, several sections of the head of the steel strip are required to be cut off by a flying shear to be used as waste, and the rear section after the head of the steel strip is cut off enters the next processing procedure.
Fig. 1 is a schematic view showing a state in which scrap is sheared in the vicinity of a flying shear in a steel rolling line, a steel strip 20 is sheared by a predetermined length of scrap by the operation of the flying shear 11, and the scrap is dropped onto a scrap conveyor 14 through a gap between a steel strip conveyor 12 and a downwardly bent output guide 13. Fig. 2 is a schematic diagram showing that a steel strip 20 is transported to the next process in the vicinity of a flying shear on a steel rolling line, and a normal steel strip 20 with scrap cut off is transported to the next process along a conveyor belt, at this time, the flying shear 11 is in a non-operating state, the nearby output guide 13 is adjusted to a non-bending state, the upper surface of the output guide is in contact with the steel strip conveyor belt 12, a gap between the upper surface of the output guide and the steel strip conveyor belt is eliminated, and the steel strip 20 does not drop on the scrap conveyor belt 14.
The operation states shown in fig. 1 and 2 are described when the device is operating normally. In practice, when the flying shear is in a working state in which waste is sheared, an abnormal state as shown in fig. 3 may occur. In general, the flying shear does not shear the whole waste material at one time, but shears the whole waste material into multiple sections in sequence, each time a small section of waste material is sheared, and the total length of the finally sheared waste material can be controlled by setting the shearing times. In the abnormal state shown in fig. 3, the small section of the scrap 21A which has been cut off previously should fall on the scrap conveyor 14 through the gap between the output guide 13 and the steel belt conveyor 12 as required, but it may happen that the scrap 21A is not dropped due to a jam and is pushed above the gap, thereby preventing the next section of the scrap 21B which has been cut off from continuing. In this state, the protection mechanism of the device triggers the flying shears to stop working, and the steel strip stops conveying. In the prior art, the occurrence of the faults needs to be found manually through monitoring videos, then maintenance personnel drive to the site, manually push the waste which does not fall down, and then restart the equipment to continue flying shear operation on the unfinished waste. This method of fault detection is very time consuming and labor intensive.
Disclosure of Invention
The embodiment of the invention provides a method, a device and equipment for detecting the shearing state of a steel belt, which can save time and labor.
In order to achieve the above object, an aspect of the present invention provides a method for detecting a shear state of a steel strip, including:
acquiring a production line state video near a flying shear, which is acquired by an image sensor;
and in the period that the flying shear is in the shearing working state, counting the first movement times of the flying shear, which are in accordance with the movement characteristics of the shearing steel strip, through kinematic analysis, if the first movement times are not in accordance with the preset requirement, judging that the shearing state of the steel strip is abnormal, and sending fault prompt information.
In a preferred embodiment, the statistical flying shear performs a first number of movements according to the movement characteristics of the sheared steel strip, including:
and counting the times of the repeated movement of the flying shear along the first direction, and determining the times as the first movement times.
In a preferred embodiment, the counting the number of times the flying shear is repeatedly moved in the first direction comprises:
and counting the times of the repeated movement of the moving object along the first direction in the position area of the flying shear in the production line state video.
In a preferred embodiment, the statistical flying shear performs a first number of movements according to the movement characteristics of the sheared steel strip, including:
and in the position area of the flying shear in the production line state video, counting the movement times of the moving object which executes the movement characteristics according with the shearing steel belt.
In a preferred embodiment, the area of the locations of the flying shears in the line state video is predefined.
In a preferred embodiment, the area of the position of the flying shear in the production line state video is detected by using an object detection algorithm on the production line state video.
In a preferred embodiment, the method further comprises: the judgment that the flying shear is in the shearing working state period is carried out according to whether the flying shear is in a moving state or not.
In a preferred embodiment, the method further comprises: and detecting whether waste materials appear in a target area or not in a period that the flying shear is in a shearing working state, wherein the target area is an area where the waste materials are not supposed to appear, if the waste materials appear in the target area, judging that the shearing state of the steel belt is abnormal, and sending out fault prompt information.
In another aspect, the present invention further provides a device for detecting a shear state of a steel strip, including:
the video acquisition module is used for acquiring a production line state video near the flying shear, which is acquired by the image sensor;
the statistical module is used for counting the first movement times of the flying shear, which accord with the movement characteristics of the shearing steel strip, through kinematic analysis when the flying shear is in a shearing working state period;
and the state detection module is used for judging that the first movement times do not meet the preset requirement, judging that the steel belt is abnormal in shearing state if the first movement times do not meet the preset requirement, and sending fault prompt information.
Yet another aspect of the present invention provides an apparatus, comprising:
one or more processors;
a storage device for storing one or more programs,
when the one or more programs are executed by the one or more processors, the one or more processors implement the method for detecting a steel strip shearing state as described above.
According to the embodiment of the invention, when the abnormal shearing state of the steel strip is found, the fault prompt message can be automatically sent out, and personnel do not need to keep staring at a monitor or on site.
Drawings
FIG. 1 is a schematic view of a steel rolling line in the vicinity of a flying shear in a state where scrap is sheared;
FIG. 2 is a schematic view of a steel rolling line in the vicinity of a flying shear in which a steel strip is transported to a next process;
FIG. 3 is a schematic diagram of a situation where the vicinity of the flying shear is in a state of cutting waste materials in an abnormal state;
FIG. 4 is a schematic view of the flying shear moving from the home position in a direction opposite to the direction of steel strip travel;
FIG. 5 is a schematic illustration of the flying shear moving in the direction of steel strip transport from the position of FIG. 4;
FIG. 6 is a flowchart of an embodiment of a method for detecting a shearing state of a steel strip according to an embodiment of the present invention;
FIG. 7 is a flowchart of an embodiment of a method for detecting a shearing state of a steel strip according to a second embodiment of the present invention;
fig. 8 is a flowchart of an embodiment of a method for detecting a shearing state of a steel strip according to a third embodiment of the present invention.
Detailed Description
The present invention will be described in further detail with reference to the accompanying drawings and examples. It is to be understood that the specific embodiments described herein are merely illustrative of the invention and are not limiting of the invention. It should be further noted that, for the convenience of description, only some of the structures related to the present invention are shown in the drawings, not all of the structures.
Example one
Fig. 6 is a flowchart illustrating an embodiment of a method for detecting a shearing state of a steel strip according to an embodiment of the present invention, and as shown in fig. 6, the method includes the following steps:
step S101: and acquiring a production line state video near the flying shear acquired by the image sensor.
The type of image sensor may be a camera or the like. The image sensor can be fixedly erected obliquely above a production line near the flying shear so as to completely shoot a scene at a proper angle. Fig. 4 shows a frame of image of the production line status video, and it can be seen from the image that, in the present invention, the shooting angle and range of the video should at least satisfy: the flying shear 11, and a portion of the steel belt conveyor 12 near the flying shear 11 are within the image.
Step S102: and judging whether the flying shear in the video is in a motion state, and if so, determining that the flying shear is in a shearing working state.
Since the video includes not only the flying shear 11 but also other objects such as the steel belt 12, etc., the judgment as to whether the flying shear is in motion cannot be determined simply by calculating the motion information of the entire area of the entire video image. In one embodiment, an area within the video where the flying shear is located may be first determined, and then a motion analysis may be performed on pixels within the area, the result of the motion analysis being approximately equal to the result of the motion of the flying shear. In the present invention, the area in which the flying shear is located may be predefined, i.e. fixed. This is because in most deployment scenarios, the image sensor is fixedly installed at a position, the position of the production line in the video is almost unchanged, and the flying shear still moves within a fixed range in the shearing operation state. Therefore, the area range of the flying shears in the video can be marked in advance through the manual analysis of the video content, and the marking result is used as the preset flying shear area and is effective for the subsequent video analysis.
Step S103: and when the flying shear is in the shearing working state period, counting the first movement times of the flying shear according with the movement characteristics of the shearing steel strip through kinematic analysis.
The inventors have analyzed that a flying shear performs 1 operation of shearing a steel strip, typically going from the state of fig. 1 to the state of fig. 4, then to the state of fig. 5, and finally back to the state of fig. 1. The overall motion trend exhibited in video is: the flying shear 11 moves from the initial position shown in fig. 1 in the direction opposite to the direction of strip transport with the action of pushing the shear downwards, and then the flying shear 11 moves from the position shown in fig. 4 in the direction of strip advance and pushes the sheared strip scrap forward, causing the scrap to fall from the gap between the output guide 13 and the strip conveyor 12 onto the scrap conveyor 14, and the flying shear 11 reaches the position shown in fig. 5. In the whole process, the flying shear integrally makes one-time repeated movement along the conveying direction of the steel strip, and the more specific description is as follows: first in the opposite direction to the direction of conveyance of the steel strip and then in the direction of conveyance of the steel strip.
Since the image sensor is fixedly installed at a position, the steel belt conveying direction is also a fixed direction in the video, and the steel belt conveying direction is preferably along the direction of an approximate X axis in the video.
Therefore, the number of times that the flying shear performs the first movement according to the movement characteristics of the sheared steel strip can be counted, and particularly, the number of times that the flying shear repeatedly moves in the first direction can be counted. In a preferred embodiment, the first direction is selected to be the direction of steel strip transport in video, which in some scenarios approximately coincides with the video horizontal direction (X-axis direction).
The analysis of the motion of the flying shear can be performed by analyzing the motion of the region of the position of the flying shear, and in one embodiment, the analysis of the light stream method of the region of the position of the flying shear in the video stream can be performed.
Optical flow in optical flow is the instantaneous velocity of pixel motion of a spatially moving object on the viewing imaging plane. The optical flow method is a method for calculating motion information of an object between adjacent frames by using the change of pixels in an image sequence in a time domain and the correlation between adjacent frames to find the corresponding relationship between a previous frame and a current frame. The instantaneous rate of change of the gray scale at a particular coordinate point of the two-dimensional image plane is typically defined as an optical flow vector. The so-called optical flow is the instantaneous velocity, and is equivalent to the displacement of the target point when the time interval is small (such as between two consecutive frames of the video). Optical flow field in space, motion can be described by motion fields, while in one image plane, motion of objects is often represented by different image grey-scale distributions in the image sequence, so that the motion fields in space are transferred to the image and are denoted as optical flow fields. The optical flow field is a two-dimensional vector field which reflects the change trend of the gray scale of each point on the image and can be regarded as an instantaneous velocity field generated by the movement of a pixel point with the gray scale on an image plane. The contained information is the instantaneous motion velocity vector information of each image point. The purpose of studying the optical flow field is to approximate motion fields that are not directly available from the sequence images. The optical flow field ideally corresponds to a motion field.
The result of analyzing the motion vector of each pixel in the position area of the flying shear can be obtained by an optical flow method, if it is found that the pixels exceeding the size of the preset area in the consecutive N frames all move in the opposite direction of the first direction, it can be determined that the flying shear has moved in the opposite direction of the first direction 1 time, and N can be determined according to the number of frames normally occupied by the flying shear moving in the opposite direction of the first direction once, and can be, for example, 10. If the pixels exceeding the size of the preset area in the next M consecutive frames are all moving towards the first direction, it can be determined that the flying shear has made 1 subsequent movement towards the first direction, and M can be determined according to the number of frames that the flying shear normally occupies moving towards the first direction once, and can be, for example, 10. If the flying shear continuously makes a motion in the opposite direction of the first direction and a motion in the first direction once, the flying shear is judged to execute 1 first motion which accords with the motion characteristic of the shearing steel strip, and 1 can be accumulated for the first motion times in the current shearing working state period. And finally, after the flying shear finishes the shearing working state period, the accumulated first movement times are equal to: in the period of the shearing working state, the flying shear executes a first movement time which is in accordance with the movement characteristics of the shearing steel strip.
Step S104: and judging whether the first movement frequency meets the preset requirement, if not, judging that the steel belt is abnormal in shearing state, and sending out fault prompt information.
If a problem occurs in the shearing process of the flying shear, whether the waste material is dropped or other types of faults, the shearing working state of the flying shear may be temporarily stopped, and the shearing operation according with the required times is not completed. In the embodiment of the invention, whether the steel strip shearing state is normal is judged by judging whether the first movement times meet the preset requirement, and if not, fault prompt information can be automatically sent out without keeping a person staring at a monitor all the time. The so-called compliance requirements may be: the first number of movements is strictly equal to a preset value; or within a reasonable range before and after a preset numerical value.
Example two
Fig. 7 is a flowchart illustrating a method for detecting a shearing state of a steel strip according to a second embodiment of the present invention, where as shown in fig. 7, the method includes the following steps:
step S801: and acquiring a production line state video near the flying shear acquired by the image sensor.
The type of image sensor may be a camera or the like. The image sensor can be fixedly erected obliquely above a production line near the flying shear so as to completely shoot a scene at a proper angle.
Step S802: and detecting the position area of the flying shear in the production line state video through a target detection algorithm.
The target detection algorithm is used for detecting specific types of objects in the video through an artificial intelligence computer vision algorithm. Through training by using sample data, the detection of the position of the flying shear can be realized.
Step S803: and judging whether the flying shear is in a motion state or not in a position area of the flying shear in the video, and if so, determining that the flying shear is in a shearing working state.
Detection of the state of motion of the flying shear can be obtained by comparing the change in position of the flying shear between frames of video.
Step S804: and in the period that the flying shear is in the shearing working state, counting the first movement times of the flying shear according with the movement characteristics of the shearing steel strip through kinematic analysis.
The implementation of step S804 is substantially similar to that of step S103 in the embodiment, except that: in the kinematic analysis of the flying shear, the position area of the flying shear to be used for the analysis area is determined in real time by the target detection algorithm in step S802, instead of being previously fixedly set.
Step S805: and judging whether the first movement frequency meets the preset requirement, if not, judging that the steel belt is abnormal in shearing state, and sending out fault prompt information.
EXAMPLE III
Fig. 8 is a flowchart illustrating a method for detecting a shearing state of a steel strip according to another embodiment of the present invention.
Compared with the first embodiment and the second embodiment, the scheme of the embodiment provides a detection scheme particularly for abnormal shearing state caused by abnormal falling of waste materials, and specifically comprises the following steps:
step S901: and acquiring a production line state video near the flying shear acquired by the image sensor.
Step S902: and detecting the position area of the flying shear in the production line state video through a target detection algorithm.
Step S903: and judging whether the flying shear is in a motion state or not in a position area of the flying shear in the video, and if so, determining that the flying shear is in a shearing working state.
Step S904: and detecting whether waste materials appear in a target area or not in a period that the flying shear is in a shearing working state, wherein the target area is an area where the waste materials are not supposed to appear, if the waste materials appear in the target area, judging that the shearing state of the steel belt is abnormal, and sending out fault prompt information.
Referring to fig. 3, the target area may be defined as the area of the steel belt 12 in the video. If the objects such as the steel belt and the like are detected in the area of the steel belt transmission belt 12 in the video by the target detection algorithm in the period that the flying shears are in the shearing working state, it indicates that the objects are not normally dropped onto the waste transmission belt 14 after being sheared by the flying shears 11.
Example four
The embodiment of the invention provides a detection device for the shearing state of a steel strip, which comprises:
the video acquisition module is used for acquiring a production line state video near the flying shear, which is acquired by the image sensor;
the statistical module is used for counting the first movement times of the flying shear, which accord with the movement characteristics of the shearing steel strip, through kinematic analysis when the flying shear is in a shearing working state period;
and the state detection module is used for judging that the first movement times do not meet the preset requirement, judging that the steel belt is abnormal in shearing state if the first movement times do not meet the preset requirement, and sending fault prompt information.
EXAMPLE five
An embodiment of the present invention further provides an apparatus, including:
one or more processors;
a storage device for storing one or more programs,
when the one or more programs are executed by the one or more processors, the one or more processors implement the method for detecting a steel strip shearing state according to the first embodiment, the second embodiment, or the third embodiment.
It is to be noted that the foregoing is only illustrative of the preferred embodiments of the present invention and the technical principles employed. It will be understood by those skilled in the art that the present invention is not limited to the particular embodiments described herein, but is capable of various obvious changes, rearrangements and substitutions as will now become apparent to those skilled in the art without departing from the scope of the invention. Therefore, although the present invention has been described in greater detail by the above embodiments, the present invention is not limited to the above embodiments, and may include other equivalent embodiments without departing from the spirit of the present invention, and the scope of the present invention is determined by the scope of the appended claims.
Claims (10)
1. A method for detecting the shearing state of a steel strip is characterized by comprising the following steps:
acquiring a production line state video near a flying shear, which is acquired by an image sensor;
and in the period that the flying shear is in the shearing working state, counting the first movement times of the flying shear, which are in accordance with the movement characteristics of the shearing steel strip, through kinematic analysis, if the first movement times are not in accordance with the preset requirement, judging that the shearing state of the steel strip is abnormal, and sending fault prompt information.
2. The method of claim 1, wherein said counting the number of times that the flying shear performs a first motion that is consistent with the motion characteristics of the sheared steel strip comprises:
and counting the times of the repeated movement of the flying shear along the first direction, and determining the times as the first movement times.
3. The method of claim 2, wherein counting the number of times the flying shear is repeatedly moved in the first direction comprises:
and counting the times of the repeated movement of the moving object along the first direction in the position area of the flying shear in the production line state video.
4. The method of claim 1, wherein said counting the number of times that the flying shear performs a first motion that is consistent with the motion characteristics of the sheared steel strip comprises:
and in the position area of the flying shear in the production line state video, counting the movement times of the moving object which executes the movement characteristics according with the shearing steel belt.
5. The method of claim 3 or 4, wherein the region of locations of the flying shears in the line status video is predefined.
6. The method of claim 3 or 4, wherein the region of locations of flying shears in the line state video is detected by using an object detection algorithm on the line state video.
7. The method of claim 1, wherein the method further comprises: the judgment that the flying shear is in the shearing working state period is carried out according to whether the flying shear is in a moving state or not.
8. The method of claim 1, wherein the method further comprises: and detecting whether waste materials appear in a target area or not in a period that the flying shear is in a shearing working state, wherein the target area is an area where the waste materials are not supposed to appear, if the waste materials appear in the target area, judging that the shearing state of the steel belt is abnormal, and sending out fault prompt information.
9. A steel strip shear state detection device, characterized by comprising:
the video acquisition module is used for acquiring a production line state video near the flying shear, which is acquired by the image sensor;
the statistical module is used for counting the first movement times of the flying shear, which accord with the movement characteristics of the shearing steel strip, through kinematic analysis when the flying shear is in a shearing working state period;
and the state detection module is used for judging that the first movement times do not meet the preset requirement, judging that the steel belt is abnormal in shearing state if the first movement times do not meet the preset requirement, and sending fault prompt information.
10. An apparatus, characterized in that the apparatus comprises:
one or more processors;
a storage device for storing one or more programs,
when executed by the one or more processors, cause the one or more processors to implement the method of detecting a steel strip shear state of any one of claims 1-8.
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113625354A (en) * | 2021-07-26 | 2021-11-09 | 北京首钢自动化信息技术有限公司 | Bilateral shear waste chute steel jamming detection system, method and device |
| US20220082472A1 (en) * | 2020-09-10 | 2022-03-17 | Aktiebolaget Skf | Monitoring method for plate billet crank flying shear process |
| CN114951811A (en) * | 2022-05-18 | 2022-08-30 | 广西广盛新材料科技有限公司 | Plate cutting method and device, control equipment and storage medium |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2006272536A (en) * | 2005-03-30 | 2006-10-12 | Jfe Steel Kk | Scrap winding and cutting device |
| CN102773256A (en) * | 2011-05-11 | 2012-11-14 | 上海宝信软件股份有限公司 | Optimal control method for strip tail shear by flying shear at continuous annealing unit inlet |
| CN103084411A (en) * | 2013-01-06 | 2013-05-08 | 北京中远通科技有限公司 | Method and system achieving intermediate slab head and tail shear control |
| CN110992323A (en) * | 2019-11-26 | 2020-04-10 | 中冶赛迪重庆信息技术有限公司 | Steel strip detection method and device based on image processing and steel clamping detection method |
| CN111107326A (en) * | 2020-01-02 | 2020-05-05 | 中冶京诚工程技术有限公司 | Method, device and system for monitoring sample state in sample shear line |
| CN111176218A (en) * | 2020-01-04 | 2020-05-19 | 太原理工大学 | Rolling shear quality monitoring system and method based on laser and visual detection |
-
2020
- 2020-07-03 CN CN202010610044.1A patent/CN111735620A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2006272536A (en) * | 2005-03-30 | 2006-10-12 | Jfe Steel Kk | Scrap winding and cutting device |
| CN102773256A (en) * | 2011-05-11 | 2012-11-14 | 上海宝信软件股份有限公司 | Optimal control method for strip tail shear by flying shear at continuous annealing unit inlet |
| CN103084411A (en) * | 2013-01-06 | 2013-05-08 | 北京中远通科技有限公司 | Method and system achieving intermediate slab head and tail shear control |
| CN110992323A (en) * | 2019-11-26 | 2020-04-10 | 中冶赛迪重庆信息技术有限公司 | Steel strip detection method and device based on image processing and steel clamping detection method |
| CN111107326A (en) * | 2020-01-02 | 2020-05-05 | 中冶京诚工程技术有限公司 | Method, device and system for monitoring sample state in sample shear line |
| CN111176218A (en) * | 2020-01-04 | 2020-05-19 | 太原理工大学 | Rolling shear quality monitoring system and method based on laser and visual detection |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20220082472A1 (en) * | 2020-09-10 | 2022-03-17 | Aktiebolaget Skf | Monitoring method for plate billet crank flying shear process |
| US11579042B2 (en) * | 2020-09-10 | 2023-02-14 | Aktiebolaget Skf | Monitoring method for plate billet crank flying shear process |
| CN113625354A (en) * | 2021-07-26 | 2021-11-09 | 北京首钢自动化信息技术有限公司 | Bilateral shear waste chute steel jamming detection system, method and device |
| CN114951811A (en) * | 2022-05-18 | 2022-08-30 | 广西广盛新材料科技有限公司 | Plate cutting method and device, control equipment and storage medium |
| CN114951811B (en) * | 2022-05-18 | 2024-05-14 | 广西广盛新材料科技有限公司 | Panel cutting method, device, control equipment and storage medium |
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