CN113838055B - System and method for detecting surface roughness uniformity of cold-rolled plate - Google Patents
System and method for detecting surface roughness uniformity of cold-rolled plate Download PDFInfo
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- CN113838055B CN113838055B CN202111428247.XA CN202111428247A CN113838055B CN 113838055 B CN113838055 B CN 113838055B CN 202111428247 A CN202111428247 A CN 202111428247A CN 113838055 B CN113838055 B CN 113838055B
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- G06—COMPUTING OR CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
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- G06T7/0002—Inspection of images, e.g. flaw detection
- G06T7/0004—Industrial image inspection
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01B—MEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
- G01B11/00—Measuring arrangements characterised by the use of optical techniques
- G01B11/30—Measuring arrangements characterised by the use of optical techniques for measuring roughness or irregularity of surfaces
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
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Abstract
本发明提出的一种冷轧板表面粗糙度的均匀性检测系统及方法，属于冷轧板检测技术领域，所述系统包括：图像采集模块和均匀性检测主机，所述图像采集模块和均匀性检测主机数据连接；图像采集模块，固定安装在轧机运输辊道上方，用于采集冷轧板表面的图像信息，并上传到均匀性检测主机。均匀性检测主机用于：根据预设时间间隔向图像采集模块发出采集指令；根据图像信息生成图像的形貌曲线，并计算出图像的平均粗糙度；根据粗糙度标准值和前三次图像的平均粗糙度，确定当前冷轧板的实际粗糙度；根据实际粗糙度对后续计算出的图像平均粗糙度进行一致性检测。本发明能够有效的提高了冷轧板表面粗糙度均匀性检测的检测速度和准确性。
A system and method for uniformity detection of the surface roughness of a cold-rolled sheet proposed by the present invention belong to the technical field of cold-rolled sheet detection. The system comprises: an image acquisition module and a uniformity detection host, the image acquisition module and the uniformity detection The data connection of the detection host; the image acquisition module, which is fixedly installed above the conveying roller table of the rolling mill, is used to collect the image information of the surface of the cold-rolled plate and upload it to the uniformity detection host. The uniformity detection host is used to: issue acquisition instructions to the image acquisition module according to the preset time interval; generate the topography curve of the image according to the image information, and calculate the average roughness of the image; according to the roughness standard value and the average of the previous three images Roughness, determine the actual roughness of the current cold-rolled sheet; according to the actual roughness, the average roughness of the subsequently calculated image is checked for consistency. The invention can effectively improve the detection speed and accuracy of the surface roughness uniformity detection of the cold-rolled sheet.
Description
Technical Field
The invention relates to the technical field of cold-rolled sheet detection, in particular to a system and a method for detecting the surface roughness uniformity of a cold-rolled sheet.
Background
The cold rolled thin steel plate is a common carbon structural steel cold rolled plate, also called cold rolled plate, commonly called cold plate, and sometimes wrongly written as cold rolled plate. The cold plate is a steel plate with the thickness less than 4mm which is made by hot rolling a steel strip of common carbon structural steel and further cold rolling. Because rolling at normal temperature does not produce scale, the cold plate has good surface quality and high dimensional precision, and the mechanical property and the processing property of the cold plate are superior to those of a hot rolled thin steel plate by annealing treatment, and the cold plate is gradually used for replacing the hot rolled thin steel plate in many fields, particularly the field of household appliance manufacturing.
The surface roughness is an important index for measuring the surface quality of the cold-rolled strip steel, has important influence on the deformation behavior and the coating performance of the strip steel during stamping, and particularly has strict requirements on the uniformity of the surface roughness of high value-added products such as cold-rolled automobile plates and the like.
Currently, for uniformity detection of surface roughness of a cold-rolled sheet, a method of spot-check measurement is generally adopted to measure the cold-rolled sheet on a rolling mill conveyor belt for multiple times, then the measured surface roughness data are respectively judged, finally, the judgment results are summarized, and a uniformity detection result is obtained according to the summary result. However, this detection method requires many data comparisons and summaries, and the amount of calculation is large. Moreover, all data are judged by the roughness quality standard, and the actual state of the surface roughness of the cold-rolled sheet cannot be intuitively reflected.
Disclosure of Invention
Aiming at the problems in the prior art, the invention aims to provide a system and a method for detecting the surface roughness uniformity of a cold-rolled plate, which can effectively obtain the actual average value of the surface roughness of the cold-rolled plate, carry out uniformity detection standard according to the actual average value and effectively improve the detection efficiency.
In order to achieve the purpose, the invention is realized by the following technical scheme:
a system for detecting the surface roughness uniformity of a cold-rolled plate, comprising: the uniformity detection device comprises an image acquisition module and a uniformity detection host, wherein the image acquisition module is in data connection with the uniformity detection host.
The image acquisition module is fixedly arranged above the rolling mill conveying roller way and used for acquiring image information of the surface of the cold-rolled plate and uploading the image information to the uniformity detection host.
The uniformity detection host computer includes:
the acquisition control module is used for sending an acquisition instruction to the image acquisition module according to a preset time interval;
the image information processing module is used for generating a profile curve of the image according to the image information and calculating the average roughness of the image;
the actual roughness determining module is used for determining the actual roughness of the current cold-rolled sheet according to the roughness standard value and the average roughness of the previous three images;
and the judging module is used for carrying out consistency detection on the subsequently calculated image average roughness according to the actual roughness and marking the images which fail in detection.
Further, the acquisition control module comprises:
the instruction triggering control unit is used for triggering an acquisition instruction by taking preset unit time or the transportation travel time of a rolling mill transportation roller way as a time interval;
and the instruction output unit is used for sending the acquisition instruction to the image acquisition module.
Further, the image information processing module includes:
the image amplifying unit is used for amplifying the image information, dividing the amplified image into a plurality of sub-images and calculating to obtain a morphology curve of each sub-image;
the data conversion unit is used for inputting the morphology curve into a preset confocal laser scanning microscopic program to generate the total roughness of the subimages;
and the calculating unit is used for calculating the average value of the total roughness of all the sub-images as the average roughness of the images.
Further, the actual roughness determination module includes:
the recording unit is used for recording the average roughness of the previous three images as a first roughness, a second roughness and a third roughness respectively;
the first configuration unit is used for comparing the first roughness, the second roughness and the third roughness with the roughness standard value respectively, and taking the maximum value of the first roughness, the second roughness and the third roughness as the actual roughness if the first roughness, the second roughness and the third roughness are smaller than the roughness standard value;
the second configuration unit is used for calculating the average value of any two items less than the roughness standard value if any two items of the first roughness, the second roughness and the third roughness are less than the roughness standard value, and taking the average value as the actual roughness;
and the third configuration unit is used for taking the roughness standard value as the actual roughness if the first roughness, the second roughness and the third roughness are not less than the roughness standard value or only one of the first roughness, the second roughness and the third roughness is less than the roughness standard value.
Correspondingly, the invention also discloses a method for detecting the uniformity of the surface roughness of the cold-rolled sheet, which comprises the following steps:
s1, sending out a collecting instruction according to a preset time interval;
s2, acquiring image information according to the acquisition instruction;
s3, generating a profile curve of the image according to the image information, and calculating the average roughness of the image;
s4, determining the actual roughness of the current cold-rolled sheet according to the roughness standard value and the average roughness of the previous three images;
and S5, carrying out consistency detection on the subsequently calculated image average roughness according to the actual roughness, and marking the images which fail in detection.
Further, step S1 includes:
and triggering an acquisition instruction by taking the preset unit time or the transport travel time of the rolling mill transport roller way as a time interval.
Further, step S3 includes:
amplifying the image information, dividing the amplified image into a plurality of sub-images, and calculating to obtain a morphology curve of each sub-image;
inputting the profile curve into a preset confocal laser scanning microscopic program to generate the total roughness of the subimages;
the average of the total roughness of all sub-images is calculated as the average roughness of the image.
Compared with the prior art, the invention has the beneficial effects that: the invention provides a system and a method for detecting the surface roughness uniformity of a cold-rolled plate, which can automatically acquire image information of the surface of the cold-rolled plate, generate a profile curve of an image according to the image information and calculate the average roughness of the image; determining the actual roughness of the current cold-rolled sheet according to the roughness standard value and the average roughness of the previous three images; and the consistency detection is carried out on the subsequently calculated image average roughness according to the actual roughness, and the consistency detection result can be obtained by directly comparing the subsequent image with the actual roughness for one time, so that the detection efficiency is effectively improved.
According to the invention, the average roughness of the previous three images is analyzed to determine the actual roughness of the cold-rolled sheet, which is used as the actual average value of the surface roughness of the cold-rolled sheet and also as the judgment standard for subsequent uniformity detection, so that the actual state of the surface roughness of the cold-rolled sheet can be reflected visually, and the detection speed and accuracy are also improved effectively.
Therefore, compared with the prior art, the invention has prominent substantive features and remarkable progress, and the beneficial effects of the implementation are also obvious.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the provided drawings without creative efforts.
FIG. 1 is a system block diagram of an embodiment of the present invention.
FIG. 2 is a method flow diagram of an embodiment of the present invention.
In the figure, 1 is an image acquisition module, 2 is a uniformity detection host, 3 is an acquisition control module, 4 is an image information processing module, 5 is an actual roughness determination module, 6 is a judgment module, 31 is an instruction trigger control unit, 32 is an instruction output unit, 41 is an image amplification unit, 42 is a data conversion unit, 43 is a calculation unit, 51 is a recording unit, 52 is a first configuration unit, 53 is a second configuration unit, and 54 is a third configuration unit.
Detailed Description
The following description of the embodiments of the present invention will be made with reference to the accompanying drawings.
The system for detecting the uniformity of the surface roughness of the cold-rolled plate shown in FIG. 1 comprises: the device comprises an image acquisition module 1 and a uniformity detection host machine 2, wherein the image acquisition module 1 is in data connection with the uniformity detection host machine 2.
And the image acquisition module 1 is fixedly arranged above the rolling mill conveying roller way and used for acquiring the image information of the surface of the cold-rolled plate and uploading the image information to the uniformity detection host machine 2.
The uniformity detection main body 2 includes: the device comprises an acquisition control module 3, an image information processing module 4, an actual roughness determining module 5 and a judging module 6.
And the acquisition control module 3 is used for sending an acquisition instruction to the image acquisition module according to a preset time interval. And the image information processing module 4 is used for generating a profile curve of the image according to the image information and calculating the average roughness of the image. And the actual roughness determining module 5 is used for determining the actual roughness of the current cold-rolled sheet according to the roughness standard value and the average roughness of the previous three images. And the judging module 6 is used for carrying out consistency detection on the subsequently calculated image average roughness according to the actual roughness and marking the images which fail in detection.
Specifically, the acquisition control module 3 includes: and the instruction triggering control unit 31 is configured to trigger to acquire an instruction by using a preset unit time or a transportation travel time of the rolling mill transportation roller table as a time interval. And the instruction output unit 32 is used for sending the acquisition instruction to the image acquisition module.
The image information processing module 4 includes: and the image amplifying unit 41 is used for amplifying the image information, dividing the amplified image into a plurality of sub-images, and calculating a topographic curve of each sub-image. And the data conversion unit 42 is used for inputting the profile curve into a preset confocal laser scanning microscopic program to generate the total roughness of the sub-images. A calculating unit 43 for calculating an average of the total roughness of all the sub-images as the average roughness of the image.
In the embodiment of the invention, the actual roughness determining module 5 determines the actual roughness of the current cold-rolled sheet in order to realize the average roughness according to the roughness standard value and the previous three images. Also provided with:
and a recording unit 51 for recording the average roughness of the previous three images as a first roughness, a second roughness and a third roughness, respectively.
The first configuration unit 52 is configured to compare the first roughness, the second roughness, and the third roughness with the roughness standard value, and if all of the first roughness, the second roughness, and the third roughness are less than the roughness standard value, take a maximum value among the first roughness, the second roughness, and the third roughness as an actual roughness.
And a second configuration unit 53, configured to calculate an average value of any two items smaller than the roughness standard value if any two items of the first roughness, the second roughness, and the third roughness are smaller than the roughness standard value, and use the average value as the actual roughness.
And a third configuration unit 54, configured to take the roughness standard value as an actual roughness if none of the first roughness, the second roughness, and the third roughness is less than the roughness standard value, or only one of the first roughness, the second roughness, and the third roughness is less than the roughness standard value.
Therefore, the actual roughness determining module 5 can analyze the average roughness of the previous three images to determine the actual roughness of the cold-rolled sheet, and the actual roughness is used as the actual average value of the surface roughness of the cold-rolled sheet and also as the subsequent uniformity detection as the judgment standard, so that the actual state of the surface roughness of the cold-rolled sheet can be intuitively reflected, and the subsequent detection speed and accuracy are also effectively improved.
Correspondingly, as shown in fig. 2, the invention also discloses a method for detecting the uniformity of the surface roughness of the cold-rolled sheet, which comprises the following steps:
s1: and sending out a collection instruction according to a preset time interval.
The method specifically comprises the following steps: and triggering an acquisition instruction by taking the preset unit time or the transport travel time of the rolling mill transport roller way as a time interval.
S2: and acquiring image information according to the acquisition instruction.
S3: and generating a profile curve of the image according to the image information, and calculating the average roughness of the image.
In the step, firstly, the image information is amplified, the amplified image is divided into a plurality of sub-images, and a topographic curve of each sub-image is calculated. And inputting the profile curve into a preset confocal laser scanning microscopic program to generate the total roughness of the subimages. Finally, the average of the total roughness of all the sub-images is calculated as the average roughness of the image.
S4: and determining the actual roughness of the current cold-rolled sheet according to the roughness standard value and the average roughness of the previous three images.
S5: and carrying out consistency detection on the subsequently calculated image average roughness according to the actual roughness, and marking the images which fail in detection.
Therefore, the method can automatically acquire the image information of the surface of the cold-rolled plate, generate the appearance curve of the image according to the image information, and calculate the average roughness of the image; determining the actual roughness of the current cold-rolled sheet according to the roughness standard value and the average roughness of the previous three images; and the consistency detection is carried out on the subsequently calculated image average roughness according to the actual roughness, and the consistency detection result can be obtained by directly comparing the subsequent image with the actual roughness for one time, so that the detection efficiency is effectively improved.
Those skilled in the art will readily appreciate that the techniques of the embodiments of the present invention may be implemented as software plus a required general purpose hardware platform. Based on such understanding, the technical solutions in the embodiments of the present invention may be embodied in the form of a software product, where the computer software product is stored in a storage medium, such as a usb disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and the like, and the storage medium can store program codes, and includes instructions for enabling a computer terminal (which may be a personal computer, a server, or a second terminal, a network terminal, and the like) to perform all or part of the steps of the method in the embodiments of the present invention. The same and similar parts in the various embodiments in this specification may be referred to each other. Especially, for the terminal embodiment, since it is basically similar to the method embodiment, the description is relatively simple, and the relevant points can be referred to the description in the method embodiment.
In the embodiments provided by the present invention, it should be understood that the disclosed system, system and method can be implemented in other ways. For example, the above-described system embodiments are merely illustrative, and for example, the division of the units is only one logical functional division, and other divisions may be realized in practice, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, systems or units, and may be in an electrical, mechanical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional modules in the embodiments of the present invention may be integrated into one processing unit, or each module may exist alone physically, or two or more modules are integrated into one unit.
Similarly, each processing unit in the embodiments of the present invention may be integrated into one functional module, or each processing unit may exist physically, or two or more processing units are integrated into one functional module.
The invention is further described with reference to the accompanying drawings and specific embodiments. It should be understood that these examples are for illustrative purposes only and are not intended to limit the scope of the present invention. Further, it should be understood that various changes or modifications of the present invention may be made by those skilled in the art after reading the teaching of the present invention, and these equivalents also fall within the scope of the present application.
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