CN118180157A - Intelligent grade analysis system for hot-rolled seamless steel tube - Google Patents
Intelligent grade analysis system for hot-rolled seamless steel tube Download PDFInfo
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- CN118180157A CN118180157A CN202410394723.8A CN202410394723A CN118180157A CN 118180157 A CN118180157 A CN 118180157A CN 202410394723 A CN202410394723 A CN 202410394723A CN 118180157 A CN118180157 A CN 118180157A
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- 229910000831 Steel Inorganic materials 0.000 title claims abstract description 116
- 239000010959 steel Substances 0.000 title claims abstract description 116
- 238000001914 filtration Methods 0.000 claims abstract description 68
- 239000000463 material Substances 0.000 claims abstract description 43
- 230000007246 mechanism Effects 0.000 claims abstract description 23
- 230000009471 action Effects 0.000 claims abstract description 12
- 238000000034 method Methods 0.000 claims abstract description 5
- 238000013507 mapping Methods 0.000 claims description 62
- 230000002146 bilateral effect Effects 0.000 claims description 52
- 238000005259 measurement Methods 0.000 claims description 26
- 238000012545 processing Methods 0.000 claims description 26
- 238000003384 imaging method Methods 0.000 claims description 16
- 230000000007 visual effect Effects 0.000 abstract description 6
- 238000001514 detection method Methods 0.000 abstract description 5
- 238000004519 manufacturing process Methods 0.000 description 4
- 238000005098 hot rolling Methods 0.000 description 3
- 238000005096 rolling process Methods 0.000 description 3
- 238000004088 simulation Methods 0.000 description 3
- 238000005266 casting Methods 0.000 description 2
- 230000008569 process Effects 0.000 description 2
- 238000001953 recrystallisation Methods 0.000 description 2
- 238000012360 testing method Methods 0.000 description 2
- 230000004075 alteration Effects 0.000 description 1
- 238000005097 cold rolling Methods 0.000 description 1
- 239000013078 crystal Substances 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 239000002994 raw material Substances 0.000 description 1
- 238000007670 refining Methods 0.000 description 1
Classifications
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B21—MECHANICAL METAL-WORKING WITHOUT ESSENTIALLY REMOVING MATERIAL; PUNCHING METAL
- B21B—ROLLING OF METAL
- B21B37/00—Control devices or methods specially adapted for metal-rolling mills or the work produced thereby
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B21—MECHANICAL METAL-WORKING WITHOUT ESSENTIALLY REMOVING MATERIAL; PUNCHING METAL
- B21B—ROLLING OF METAL
- B21B38/00—Methods or devices for measuring, detecting or monitoring specially adapted for metal-rolling mills, e.g. position detection, inspection of the product
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Abstract
The invention relates to a grade intelligent analysis system for hot-rolled seamless steel pipes, which comprises the following components: a rotary camera mechanism for performing equidistant camera actions on the hot-rolled seamless steel tube from a plurality of different angles around the hot-rolled seamless steel tube; the numerical analysis device is used for intelligently analyzing the surface material uniformity grade of the hot-rolled seamless steel tube; and the grade identification device is used for executing on-site alarm operation corresponding to the uneven surface material of the hot-rolled seamless steel pipe when the uniform grade of the surface material of the hot-rolled seamless steel pipe is less than or equal to the set grade limit. According to the method and the device, each pixel occupied by the hot-rolled seamless steel pipe in the instant filtering image can be analyzed, and further, the surface material uniformity level of the hot-rolled seamless steel pipe is determined based on variance values of a plurality of position data corresponding to the pixels, so that visual detection of the surface material uniformity degree of each hot-rolled seamless steel pipe is completed.
Description
Technical Field
The invention relates to the field of seamless steel pipes, in particular to a grade intelligent analysis system for hot-rolled seamless steel pipes.
Background
Hot rolling a seamless steel pipe: the hot rolling is a rolling performed at a temperature lower than the recrystallization temperature, and the hot rolling is a rolling performed at a temperature higher than the recrystallization temperature, relative to the cold rolling. The hot rolled seamless steel pipe has the advantages of destroying the casting structure of the steel ingot, refining the crystal grains of the steel, eliminating the defect of microstructure, compacting the steel structure and improving the mechanical property. This improvement is mainly manifested in the rolling direction so that the steel is no longer isotropic to some extent; bubbles, cracks and looseness formed during casting can also be welded under the action of high temperature and pressure.
For the hot-rolled seamless steel pipe, the surface material uniformity level of the hot-rolled seamless steel pipe determines the manufacturing quality of the hot-rolled seamless steel pipe, and as the hot-rolled seamless steel pipe is a raw material for manufacturing other related products, the surface material uniformity level of the hot-rolled seamless steel pipe also determines the manufacturing quality of the related products of the hot-rolled seamless steel pipe, however, in the prior art, the surface material uniformity level of the hot-rolled seamless steel pipe is judged on the basis of either a manual mode or a rough electronic mode, and the judgment accuracy and speed are difficult to meet the requirements of the existing industrial manufacturing.
Disclosure of Invention
In order to solve the technical problems in the prior art, the invention provides a grade intelligent analysis system for a hot-rolled seamless steel pipe, which can analyze each pixel occupied by the hot-rolled seamless steel pipe in an instant filtering image, acquire each brightness value corresponding to each pixel corresponding to the hot-rolled seamless steel pipe, take the brightness value with the highest occurrence frequency in each brightness value as a reference brightness value, determine a plurality of pixels with the reference brightness value in each pixel corresponding to the hot-rolled seamless steel pipe, determine the uniform grade of the surface material of the hot-rolled seamless steel pipe based on variance values of a plurality of position data corresponding to the pixels respectively, execute on-site alarm operation corresponding to the surface material non-uniformity of the hot-rolled seamless steel pipe when the surface material uniform grade of the hot-rolled seamless steel pipe detected in a targeted visual manner is smaller than or equal to a set grade limit, and otherwise, temporarily execute on-site alarm operation corresponding to the surface material non-uniformity of the hot-rolled seamless steel pipe, thereby completing visual detection of the surface material uniform grade of each hot-rolled seamless steel pipe.
According to the present invention, there is provided a grade intelligent analysis system for hot-rolled seamless steel pipes, the system comprising:
A rotary image pickup mechanism for performing equidistant image pickup actions on the hot rolled seamless steel tube from a plurality of different angles around the hot rolled seamless steel tube to obtain a plurality of different equidistant image pickup pictures, and performing picture combination processing on the plurality of different equidistant image pickup pictures to obtain corresponding combined imaging pictures;
the real-time enhancement device is connected with the rotary camera shooting mechanism and is used for performing image frequency domain enhancement processing on the received combined imaging image so as to obtain and output a corresponding real-time enhanced image;
The bilateral filtering device is connected with the real-time enhancement device and is used for executing bilateral filtering processing on the received real-time enhancement image so as to obtain and output a corresponding bilateral filtering image;
The signal mapping device is connected with the bilateral filtering device and is used for executing impulse noise filtering processing and Gaussian white noise filtering processing on the received image so as to obtain and output a corresponding instant filtering image;
The system comprises a signal mapping device, a numerical analysis device, a reference brightness value, a plurality of pixels with reference brightness value, a surface material uniformity level of the hot-rolled seamless steel pipe, a plurality of position data and a plurality of pixel-to-pixel data processing device, wherein the signal mapping device is connected with the signal analysis device and comprises a pixel analysis device, a coordinate judgment device, the numerical mapping device and a main control chip, the main control chip is used for realizing real-time configuration of working parameters of the pixel analysis device, the coordinate judgment device and the numerical mapping device, the coordinate judgment device is respectively connected with the pixel analysis device and the numerical mapping device, the numerical analysis device is used for analyzing each pixel occupied by the hot-rolled seamless steel pipe in an instant filtering image, acquiring each brightness value corresponding to each pixel of the hot-rolled seamless steel pipe, taking the brightness value with highest occurrence frequency in each brightness value as the reference brightness value, determining a plurality of pixels with the reference brightness value in each pixel corresponding to the hot-rolled seamless steel pipe, and determining the surface material uniformity level of the hot-rolled seamless steel pipe based on variance values of the plurality of position data corresponding to the pixels respectively;
the grade identification device is connected with the numerical analysis device and is used for executing on-site alarm operation corresponding to the non-uniformity of the surface material of the hot-rolled seamless steel pipe when the uniformity grade of the surface material of the received hot-rolled seamless steel pipe is less than or equal to the set grade limit;
wherein performing equidistant image capturing actions on a hot rolled seamless steel pipe from a plurality of different angles around the hot rolled seamless steel pipe to obtain a plurality of different equidistant image capturing pictures, performing picture combining processing on the plurality of different equidistant image capturing pictures to obtain a corresponding combined imaging picture includes: when each angle executes shooting action on the hot-rolled seamless steel tube, the distances from the imaging lens of the rotary shooting mechanism to the hot-rolled seamless steel tube are equal.
Thus, the present invention has at least the following four important aspects:
First place: introducing a numerical analysis device comprising a pixel analysis device, a coordinate judgment device, a numerical mapping device and a main control chip, wherein the main control chip is used for realizing real-time configuration of working parameters of the pixel analysis device, the coordinate judgment device and the numerical mapping device, and the coordinate judgment device is respectively connected with the pixel analysis device and the numerical mapping device, so that a hardware platform with targeted design is built for the uniform-grade identification of surface materials of the hot-rolled seamless steel tube;
second place: analyzing each pixel occupied by the hot-rolled seamless steel tube in the instant filtering image, obtaining each brightness value corresponding to each pixel corresponding to the hot-rolled seamless steel tube, taking the brightness value with highest occurrence frequency in each brightness value as a reference brightness value, determining a plurality of pixels with the reference brightness value in each pixel corresponding to the hot-rolled seamless steel tube, and determining the surface material uniformity level of the hot-rolled seamless steel tube based on the variance values of a plurality of position data corresponding to the pixels respectively, wherein the determined surface material uniformity level of the hot-rolled seamless steel tube is inversely related to the variance values of the plurality of position data corresponding to the pixels respectively;
Third place: the grade identification device is used for executing field alarm operation corresponding to the surface material non-uniformity of the hot-rolled seamless steel pipe when the surface material uniformity grade of the hot-rolled seamless steel pipe detected in a targeted visual mode is smaller than or equal to a set grade limit, otherwise, suspending executing the field alarm operation corresponding to the surface material non-uniformity of the hot-rolled seamless steel pipe, and thus completing visual detection of the surface material uniformity degree of each hot-rolled seamless steel pipe;
Fourth place: the rotary image pick-up mechanism is used for carrying out equidistant image pick-up actions on the hot rolled seamless steel tube from a plurality of different angles around the hot rolled seamless steel tube so as to obtain a plurality of different equidistant image pick-up images, and carrying out image combination processing on the plurality of different equidistant image pick-up images so as to obtain corresponding combined imaging images, thereby obtaining imaging data of the whole surface of the hot rolled seamless steel tube and providing more comprehensive basic information for detecting the uniformity degree of surface materials of the subsequent hot rolled seamless steel tube.
Detailed Description
An embodiment of the grade intelligent analysis system for hot rolled seamless steel pipe according to the present invention will be described in detail.
The grade intelligent analysis system for hot-rolled seamless steel pipes according to the embodiment A of the invention comprises:
A rotary image pickup mechanism for performing equidistant image pickup actions on the hot rolled seamless steel tube from a plurality of different angles around the hot rolled seamless steel tube to obtain a plurality of different equidistant image pickup pictures, and performing picture combination processing on the plurality of different equidistant image pickup pictures to obtain corresponding combined imaging pictures;
the real-time enhancement device is connected with the rotary camera shooting mechanism and is used for performing image frequency domain enhancement processing on the received combined imaging image so as to obtain and output a corresponding real-time enhanced image;
Specifically, the real-time enhancement device, connected to the rotary camera mechanism, is configured to perform image frequency domain enhancement processing on the received combined imaging image, so as to obtain and output a corresponding real-time enhanced image, and includes: selecting MATLAB tool box to realize image frequency domain enhancement processing of the received combined imaging image so as to obtain and output simulation and test of the data processing process of the corresponding real-time enhanced image;
The bilateral filtering device is connected with the real-time enhancement device and is used for executing bilateral filtering processing on the received real-time enhancement image so as to obtain and output a corresponding bilateral filtering image;
The signal mapping device is connected with the bilateral filtering device and is used for executing impulse noise filtering processing and Gaussian white noise filtering processing on the received image so as to obtain and output a corresponding instant filtering image;
The system comprises a signal mapping device, a numerical analysis device, a reference brightness value, a plurality of pixels with reference brightness value, a surface material uniformity level of the hot-rolled seamless steel pipe, a plurality of position data and a plurality of pixel-to-pixel data processing device, wherein the signal mapping device is connected with the signal analysis device and comprises a pixel analysis device, a coordinate judgment device, the numerical mapping device and a main control chip, the main control chip is used for realizing real-time configuration of working parameters of the pixel analysis device, the coordinate judgment device and the numerical mapping device, the coordinate judgment device is respectively connected with the pixel analysis device and the numerical mapping device, the numerical analysis device is used for analyzing each pixel occupied by the hot-rolled seamless steel pipe in an instant filtering image, acquiring each brightness value corresponding to each pixel of the hot-rolled seamless steel pipe, taking the brightness value with highest occurrence frequency in each brightness value as the reference brightness value, determining a plurality of pixels with the reference brightness value in each pixel corresponding to the hot-rolled seamless steel pipe, and determining the surface material uniformity level of the hot-rolled seamless steel pipe based on variance values of the plurality of position data corresponding to the pixels respectively;
the grade identification device is connected with the numerical analysis device and is used for executing on-site alarm operation corresponding to the non-uniformity of the surface material of the hot-rolled seamless steel pipe when the uniformity grade of the surface material of the received hot-rolled seamless steel pipe is less than or equal to the set grade limit;
Wherein performing equidistant image capturing actions on a hot rolled seamless steel pipe from a plurality of different angles around the hot rolled seamless steel pipe to obtain a plurality of different equidistant image capturing pictures, performing picture combining processing on the plurality of different equidistant image capturing pictures to obtain a corresponding combined imaging picture includes: when each angle executes shooting action on the hot-rolled seamless steel tube, the distances from an imaging lens of a rotary shooting mechanism to the hot-rolled seamless steel tube are equal;
the grade identification device is also used for suspending to execute the site alarm operation corresponding to the uneven surface material of the hot-rolled seamless steel pipe when the received uniform grade of the surface material of the hot-rolled seamless steel pipe is larger than the set grade limit.
Compared to embodiment a of the present invention, the grade intelligent analysis system for hot rolled seamless steel pipes according to embodiment B of the present invention may further include:
the width sensing device is respectively connected with the real-time enhancement device, the bilateral filtering device signal, the signal mapping device and the numerical analysis device and is used for respectively measuring the current real-time width values of the real-time enhancement device, the bilateral filtering device signal, the signal mapping device and the numerical analysis device;
The width sensing device is respectively connected with the real-time enhancement device, the bilateral filtering device signal, the signal mapping device and the numerical analysis device, and is used for respectively measuring the current real-time width values of the real-time enhancement device, the bilateral filtering device signal, the signal mapping device and the numerical analysis device, wherein the current real-time width values comprise: the width sensing device comprises a plurality of width measuring units which are respectively connected with the real-time enhancement device, the bilateral filtering device signal, the signal mapping device and the numerical analysis device to finish the respective measurement of the current real-time width values of the real-time enhancement device, the bilateral filtering device signal, the signal mapping device and the numerical analysis device;
The width sensing device comprises a plurality of width measuring units, which are respectively connected with the real-time enhancement device, the bilateral filtering device signal, the signal mapping device and the numerical analysis device to finish the respective measurement of the current real-time width values of the real-time enhancement device, the bilateral filtering device signal, the signal mapping device and the numerical analysis device, wherein the respective measurement comprises the following steps: the width measuring units are a plurality of width sensors and are used for being respectively connected with the real-time enhancement equipment, the bilateral filtering equipment signals, the signal mapping equipment and the numerical analysis device so as to finish the respective measurement of the current real-time width values of the real-time enhancement equipment, the bilateral filtering equipment signals, the signal mapping equipment and the numerical analysis device;
The width measurement units are a plurality of width sensors, and are used for being respectively connected with the real-time enhancement device, the bilateral filtering device signal, the signal mapping device and the numerical analysis device, so as to finish the respective measurement of the current real-time width values of the real-time enhancement device, the bilateral filtering device signal, the signal mapping device and the numerical analysis device, and the respective measurement comprises the following steps: the plurality of width sensors have the same structure;
The plurality of width measurement units are a plurality of width sensors, and are used for being respectively connected with the real-time enhancement device, the bilateral filtering device signal, the signal mapping device and the numerical analysis device, so as to finish respective measurement of respective current real-time width values of the real-time enhancement device, the bilateral filtering device signal, the signal mapping device and the numerical analysis device, and the method further comprises the following steps: the plurality of width sensors have the same width measurement upper limit value and width measurement lower limit value.
Compared to embodiment a of the present invention, the grade intelligent analysis system for hot rolled seamless steel pipes according to embodiment C of the present invention may further include:
The width display mechanism is respectively connected with the real-time enhancement device, the bilateral filtering device signal, the signal mapping device and the plurality of width measurement units of the numerical analysis device and is used for synchronously displaying the current real-time width values of the real-time enhancement device, the bilateral filtering device signal, the signal mapping device and the numerical analysis device;
the width display mechanism is respectively connected with the real-time enhancement device, the bilateral filtering device signal, the signal mapping device and a plurality of width measurement units of the numerical analysis device, and is used for synchronously displaying the current real-time width values of the real-time enhancement device, the bilateral filtering device signal, the signal mapping device and the numerical analysis device, wherein the current real-time width values of the signal mapping device and the numerical analysis device respectively comprise: the width display mechanism is an LED display array;
And a width display mechanism, respectively connected to the real-time enhancement device, the bilateral filtering device signal, the signal mapping device and the plurality of width measurement units of the numerical analysis device, and configured to synchronously display current real-time width values of the real-time enhancement device, the bilateral filtering device signal, the signal mapping device and the numerical analysis device, where the current real-time width values include: the width display mechanism is an LCD display array.
In addition, in the grade intelligent analysis system for a hot-rolled seamless steel pipe, determining a plurality of pixels having the reference brightness value in each pixel corresponding to the hot-rolled seamless steel pipe, and determining a surface material uniformity grade of the hot-rolled seamless steel pipe based on variance values of a plurality of position data corresponding to each of the plurality of pixels, wherein the determining the surface material uniformity grade of the hot-rolled seamless steel pipe inversely correlates with the variance values of the plurality of position data corresponding to each of the plurality of pixels comprises: and adopting a numerical simulation mode to realize the test and simulation of the data processing process of determining the uniform grade of the surface material of the hot-rolled seamless steel pipe based on the variance values of the position data corresponding to the pixels.
The grade intelligent analysis system for the hot-rolled seamless steel tube is used for solving the technical problem that a high-precision and targeted detection mechanism for the uniformity degree of the surface material of the hot-rolled seamless steel tube is lacking in the prior art, analyzing each pixel occupied by the hot-rolled seamless steel tube in an instant filtering image, and further determining the uniformity grade of the surface material of the hot-rolled seamless steel tube based on variance values of a plurality of position data corresponding to the pixels, so that the visual detection for the uniformity degree of the surface material of each hot-rolled seamless steel tube is completed.
The invention may be embodied and practiced in different forms without departing from the spirit or essential characteristics thereof. The described embodiments are, therefore, to be considered in all respects as illustrative and not restrictive. The scope of the invention is indicated by the appended claims rather than by the foregoing description. It is intended to include all modifications and alterations insofar as they come within the scope of the appended claims.
Claims (9)
1. A grade intelligent analysis system for hot rolled seamless steel tubes, the system comprising:
A rotary image pickup mechanism for performing equidistant image pickup actions on the hot rolled seamless steel tube from a plurality of different angles around the hot rolled seamless steel tube to obtain a plurality of different equidistant image pickup pictures, and performing picture combination processing on the plurality of different equidistant image pickup pictures to obtain corresponding combined imaging pictures;
the real-time enhancement device is connected with the rotary camera shooting mechanism and is used for performing image frequency domain enhancement processing on the received combined imaging image so as to obtain and output a corresponding real-time enhanced image;
The bilateral filtering device is connected with the real-time enhancement device and is used for executing bilateral filtering processing on the received real-time enhancement image so as to obtain and output a corresponding bilateral filtering image;
The signal mapping device is connected with the bilateral filtering device and is used for executing impulse noise filtering processing and Gaussian white noise filtering processing on the received image so as to obtain and output a corresponding instant filtering image;
The system comprises a signal mapping device, a numerical analysis device, a reference brightness value, a plurality of pixels with reference brightness value, a surface material uniformity level of the hot-rolled seamless steel pipe, a plurality of position data and a plurality of pixel-to-pixel data processing device, wherein the signal mapping device is connected with the signal analysis device and comprises a pixel analysis device, a coordinate judgment device, the numerical mapping device and a main control chip, the main control chip is used for realizing real-time configuration of working parameters of the pixel analysis device, the coordinate judgment device and the numerical mapping device, the coordinate judgment device is respectively connected with the pixel analysis device and the numerical mapping device, the numerical analysis device is used for analyzing each pixel occupied by the hot-rolled seamless steel pipe in an instant filtering image, acquiring each brightness value corresponding to each pixel of the hot-rolled seamless steel pipe, taking the brightness value with highest occurrence frequency in each brightness value as the reference brightness value, determining a plurality of pixels with the reference brightness value in each pixel corresponding to the hot-rolled seamless steel pipe, and determining the surface material uniformity level of the hot-rolled seamless steel pipe based on variance values of the plurality of position data corresponding to the pixels respectively;
the grade identification device is connected with the numerical analysis device and is used for executing on-site alarm operation corresponding to the non-uniformity of the surface material of the hot-rolled seamless steel pipe when the uniformity grade of the surface material of the received hot-rolled seamless steel pipe is less than or equal to the set grade limit;
wherein performing equidistant image capturing actions on a hot rolled seamless steel pipe from a plurality of different angles around the hot rolled seamless steel pipe to obtain a plurality of different equidistant image capturing pictures, performing picture combining processing on the plurality of different equidistant image capturing pictures to obtain a corresponding combined imaging picture includes: when each angle executes shooting action on the hot-rolled seamless steel tube, the distances from the imaging lens of the rotary shooting mechanism to the hot-rolled seamless steel tube are equal.
2. The grade intelligent analysis system for hot rolled seamless steel tubes according to claim 1, wherein:
The grade identification device is also used for suspending to execute the site alarm operation corresponding to the uneven surface material of the hot-rolled seamless steel pipe when the received uniform grade of the surface material of the hot-rolled seamless steel pipe is larger than the set grade limit.
3. The grade intelligent analysis system for hot rolled seamless steel pipe according to claim 2, further comprising:
the width sensing device is respectively connected with the real-time enhancement device, the bilateral filtering device signal, the signal mapping device and the numerical analysis device and is used for respectively measuring the current real-time width values of the real-time enhancement device, the bilateral filtering device signal, the signal mapping device and the numerical analysis device;
The width sensing device is respectively connected with the real-time enhancement device, the bilateral filtering device signal, the signal mapping device and the numerical analysis device, and is used for respectively measuring the current real-time width values of the real-time enhancement device, the bilateral filtering device signal, the signal mapping device and the numerical analysis device, wherein the current real-time width values comprise: the width sensing device comprises a plurality of width measuring units which are respectively connected with the real-time enhancement device, the bilateral filtering device signal, the signal mapping device and the numerical analysis device so as to finish the respective measurement of the current real-time width values of the real-time enhancement device, the bilateral filtering device signal, the signal mapping device and the numerical analysis device.
4. A grade intelligent analysis system for hot rolled seamless steel pipe according to claim 3, wherein:
The width sensing device comprises a plurality of width measuring units, which are respectively connected with the real-time enhancement device, the bilateral filtering device signal, the signal mapping device and the numerical analysis device to finish the respective measurement of the current real-time width values of the real-time enhancement device, the bilateral filtering device signal, the signal mapping device and the numerical analysis device, wherein the respective measurement comprises the following steps: the width measuring units are a plurality of width sensors and are used for being respectively connected with the real-time enhancement equipment, the bilateral filtering equipment signals, the signal mapping equipment and the numerical analysis device so as to finish the respective measurement of the current real-time width values of the real-time enhancement equipment, the bilateral filtering equipment signals, the signal mapping equipment and the numerical analysis device.
5. The grade intelligent analysis system for hot rolled seamless steel tubes according to claim 4, wherein:
The width measuring units are a plurality of width sensors and are used for being respectively connected with the real-time enhancement equipment, the bilateral filtering equipment signal, the signal mapping equipment and the numerical analysis device so as to finish the respective measurement of the current real-time width values of the real-time enhancement equipment, the bilateral filtering equipment signal, the signal mapping equipment and the numerical analysis device, and the respective measurement comprises the following steps: the plurality of width sensors are identical in structure.
6. The grade intelligent analysis system for hot rolled seamless steel tubes according to claim 5, wherein:
The width measuring units are width sensors and are used for being respectively connected with the real-time enhancement device, the bilateral filtering device signal, the signal mapping device and the numerical analysis device to finish the respective measurement of the current real-time width values of the real-time enhancement device, the bilateral filtering device signal, the signal mapping device and the numerical analysis device, and the method further comprises the following steps: the plurality of width sensors have the same width measurement upper limit value and width measurement lower limit value.
7. The grade intelligent analysis system for hot rolled seamless steel tube according to any one of claims 3-6, further comprising:
The width display mechanism is respectively connected with the real-time enhancement device, the bilateral filtering device signal, the signal mapping device and the plurality of width measurement units of the numerical analysis device and is used for synchronously displaying the current real-time width values of the real-time enhancement device, the bilateral filtering device signal, the signal mapping device and the numerical analysis device.
8. The grade intelligent analysis system for hot rolled seamless steel tube according to claim 7, wherein:
The width display mechanism is respectively connected with the real-time enhancement device, the bilateral filtering device signal, the signal mapping device and a plurality of width measurement units of the numerical analysis device, and is used for synchronously displaying the current real-time width values of the real-time enhancement device, the bilateral filtering device signal, the signal mapping device and the numerical analysis device respectively, and comprises the following steps: the width display mechanism is an LED display array.
9. The grade intelligent analysis system for hot rolled seamless steel tube according to claim 7, wherein:
The width display mechanism is respectively connected with the real-time enhancement device, the bilateral filtering device signal, the signal mapping device and a plurality of width measurement units of the numerical analysis device, and is used for synchronously displaying the current real-time width values of the real-time enhancement device, the bilateral filtering device signal, the signal mapping device and the numerical analysis device respectively, and comprises the following steps: the width display mechanism is an LCD display array.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN118294595A (en) * | 2024-04-08 | 2024-07-05 | 南京利奕辽机械科技有限公司 | Directional visual data analysis system for stainless steel gear body |
Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| RU2011103755A (en) * | 2011-02-02 | 2012-08-10 | Открытое акционерное общество "Новокузнецкий металлургический комбинат" (RU) | METHOD FOR DIAGNOSIS OF QUALITY OF SURFACE STRUCTURE OF METAL-ROLLING |
| CN108663376A (en) * | 2018-07-24 | 2018-10-16 | 广西师范大学 | A kind of seamless steel pipe quality detection device and detection method |
| CN112712579A (en) * | 2019-10-27 | 2021-04-27 | 朱秀娈 | Uniform grade data analysis system |
| US20220011241A1 (en) * | 2018-11-30 | 2022-01-13 | Jfe Steel Corporation | Surface-defect detecting method, surface-defect detecting apparatus, steel-material manufacturing method, steel-material quality management method, steel-material manufacturing facility, surface-defect determination model generating method, and surface-defect determination model |
| EP3995222A1 (en) * | 2020-11-05 | 2022-05-11 | Primetals Technologies Japan, Ltd. | Inappropriate quality judgment apparatus and inappropriate quality judgment method |
| CN114998322A (en) * | 2022-07-19 | 2022-09-02 | 南通恒强轧辊有限公司 | Intelligent rolling mill control method and system based on computer vision |
| CN116907373A (en) * | 2023-05-11 | 2023-10-20 | 北京科技大学 | Method and device for detecting three-dimensional morphology of end part of reduced hot-rolled seamless steel tube |
| CN117274252A (en) * | 2023-11-20 | 2023-12-22 | 海澜智云科技有限公司 | Steel product surface flaw detection system based on identification analysis |
-
2024
- 2024-04-02 CN CN202410394723.8A patent/CN118180157A/en active Pending
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| RU2011103755A (en) * | 2011-02-02 | 2012-08-10 | Открытое акционерное общество "Новокузнецкий металлургический комбинат" (RU) | METHOD FOR DIAGNOSIS OF QUALITY OF SURFACE STRUCTURE OF METAL-ROLLING |
| CN108663376A (en) * | 2018-07-24 | 2018-10-16 | 广西师范大学 | A kind of seamless steel pipe quality detection device and detection method |
| US20220011241A1 (en) * | 2018-11-30 | 2022-01-13 | Jfe Steel Corporation | Surface-defect detecting method, surface-defect detecting apparatus, steel-material manufacturing method, steel-material quality management method, steel-material manufacturing facility, surface-defect determination model generating method, and surface-defect determination model |
| CN112712579A (en) * | 2019-10-27 | 2021-04-27 | 朱秀娈 | Uniform grade data analysis system |
| EP3995222A1 (en) * | 2020-11-05 | 2022-05-11 | Primetals Technologies Japan, Ltd. | Inappropriate quality judgment apparatus and inappropriate quality judgment method |
| CN114998322A (en) * | 2022-07-19 | 2022-09-02 | 南通恒强轧辊有限公司 | Intelligent rolling mill control method and system based on computer vision |
| CN116907373A (en) * | 2023-05-11 | 2023-10-20 | 北京科技大学 | Method and device for detecting three-dimensional morphology of end part of reduced hot-rolled seamless steel tube |
| CN117274252A (en) * | 2023-11-20 | 2023-12-22 | 海澜智云科技有限公司 | Steel product surface flaw detection system based on identification analysis |
Non-Patent Citations (2)
| Title |
|---|
| 张婷婷;刘东权;: "基于方向滤波的超声图像边缘增强", 计算机应用与软件, no. 03, 15 March 2013 (2013-03-15) * |
| 徐森;屈尔庆;陈海永;刘坤;孙鹤旭;: "冷轧带钢表面缺陷检测系统设计", 仪表技术与传感器, no. 01, 15 January 2017 (2017-01-15) * |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN118294595A (en) * | 2024-04-08 | 2024-07-05 | 南京利奕辽机械科技有限公司 | Directional visual data analysis system for stainless steel gear body |
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