Metallurgical product quality inspection management system

Abstract

This invention relates to a metallurgical product quality inspection and management system, comprising: a piece-by-piece pushing mechanism for pushing individual metallurgical products produced by the metallurgical product production line from the output end of the production line to the quality inspection station at uniform intervals; and a quality inspection judgment device for issuing a length deviation command when the difference between the on-site distributed length determined by targeted visual analysis and the standard set length exceeds a certain limit. Based on customized image optimization modes and targeted length visual recognition, this metallurgical product quality inspection and management system performs pixel-level high-precision analysis of the on-site distributed length of each metallurgical product, and issues a length deviation command when the difference between the on-site distributed length and the standard set length exceeds or equals a set threshold, thereby achieving targeted screening of metallurgical products with minute dimensional errors.

Description

Technical Field

[0001] This invention relates to the field of metallurgical production, and more particularly to a metallurgical product quality inspection and management system. Background Technology

[0002] Metallurgy refers to the process and technology of extracting metals or metal compounds from minerals and processing them into metallic materials with specific properties using various methods. Metallurgical techniques mainly include pyrometallurgy, hydrometallurgy, and electrometallurgy. With the successful application of physical chemistry in metallurgy, metallurgy has evolved from a process to a science, leading to the development of metallurgical engineering as a major in universities.

[0003] For example, pyrometallurgy is a metallurgical process carried out under high-temperature conditions. Some or all of the minerals in the ore or concentrate undergo a series of physicochemical changes at high temperatures, generating compounds or elements in another form, which are then enriched in gaseous, liquid, or solid products, achieving the separation of the desired metal from gangue and other impurities. The heat energy required for pyrometallurgical processes is usually supplied by fuel combustion, but it can also be supplied by chemical reactions during the process. For example, the oxidative roasting and smelting of sulfide ores do not require fuel heating; the metallothermic reduction process is also autothermal. Pyrometallurgy includes processes such as drying, roasting, calcination, smelting, refining, and distillation.

[0004] However, due to differences in raw materials and production processes, it is difficult for each metallurgical product to maintain within the allowable error range of the standard length. Since metallurgical products are generally used as the base components for subsequent processing parts, even slight length errors can make the manufacturing of subsequent processing parts difficult. However, existing technologies lack an effective detection mechanism for slight length errors in metallurgical products. Summary of the Invention

[0005] To address technical issues in related fields, this invention provides a metallurgical product quality inspection and management system. Based on customized image optimization modes and targeted length visual recognition, it performs high-precision pixel-level analysis of the on-site distributed length of each metallurgical product. When the difference between the on-site distributed length and the standard set length exceeds or equals a set threshold, a length deviation command is issued; when the difference is less than the set threshold, a length compliance command is issued. This enables real-time and effective identification of dimensional errors in metallurgical products.

[0006] According to the present invention, a metallurgical product quality inspection and management system is provided, the system comprising:

[0007] The piece-by-piece pushing mechanism is used to push the individual metallurgical products produced by the metallurgical product production line from the output end of the metallurgical product production line to the quality inspection station at equal intervals over time. Each metallurgical product has the same standard set length.

[0008] The synchronous control mechanism is connected to the piece-by-piece pushing mechanism and the directional capture mechanism respectively, and is used to trigger the single image capture operation of the directional capture mechanism at the same time as the piece-by-piece pushing mechanism completes pushing a single metallurgical product to the top of the quality inspection station.

[0009] A directional capture mechanism is set above the quality inspection station to perform a single image capture operation on the scene of the latest single metallurgical product pushed to the quality inspection station, so as to obtain and output the corresponding product scene image.

[0010] The sequential optimization mechanism includes a front-end optimization unit, a secondary optimization unit, and an end-end optimization unit. The front-end optimization unit is connected to the directional capture mechanism and the secondary optimization unit, respectively. The end-end optimization unit is connected to the secondary optimization unit. The front-end optimization unit performs arithmetic mean filtering on the received product scene image to obtain and output a corresponding front-end optimized image. The secondary optimization unit performs directional blurring on the received front-end optimized image to obtain and output a corresponding secondary optimized image. The end-end optimization unit performs bilateral filtering on the received secondary optimized image to obtain and output a corresponding sequential optimization image.

[0011] A signal resolution device, connected to the sequence optimization mechanism, is used to analyze the geometric shape corresponding to the imaging area occupied by the metallurgical product in the sequence optimization image, and to perform shape analysis on the geometric shape to determine the length curve corresponding to the geometric shape.

[0012] A curve processing device, connected to the signal resolution device, is used to determine the total number of pixels occupied by the length curve corresponding to the metallurgical product in the sequentially optimized image, and at the same time obtain the median value of each depth value corresponding to each pixel in the imaging area corresponding to the metallurgical product.

[0013] A data mapping device, connected to the curve processing device, is used to calculate the field distribution length of the metallurgical product based on the total number of pixels occupied by the length curve corresponding to the metallurgical product in the sequentially optimized image and the median value of each depth value corresponding to each pixel in the imaging area corresponding to the metallurgical product.

[0014] The quality inspection judgment device is connected to the data mapping device and is used to issue a length deviation command when the difference between the on-site distributed length and the standard set length accounts for a proportion of the standard set length that exceeds or equals a set proportion threshold.

[0015] Specifically, the calculated on-site distribution length corresponding to the metallurgical product is positively correlated with the total number of pixels occupied by the length curve corresponding to the metallurgical product in the sequentially optimized image, and the calculated on-site distribution length corresponding to the metallurgical product is positively correlated with the median value of each depth value corresponding to each pixel in the imaging area corresponding to the metallurgical product.

[0016] The metallurgical product quality inspection management system of the present invention is designed to perform high-precision pixel-level analysis of the on-site distribution length of each metallurgical product based on customized image optimization mode and targeted length visual recognition. When the difference between the on-site distribution length and the standard set length exceeds or equals the standard set length in proportion to a set proportion threshold, a length deviation command is issued, thereby realizing targeted screening of metallurgical products with minor dimensional errors. Detailed Implementation

[0017] The embodiments of the metallurgical product quality inspection management system of the present invention will be described in detail below.

[0018] Example 1

[0019] According to Embodiment 1 of the present invention, a metallurgical product quality inspection management system is shown, the system comprising:

[0020] The piece-by-piece pushing mechanism is used to push the individual metallurgical products produced by the metallurgical product production line from the output end of the metallurgical product production line to the quality inspection station at equal intervals over time. Each metallurgical product has the same standard set length.

[0021] For example, the item-by-item pushing mechanism includes a real-time positioning mechanism, a belt conveyor mechanism, and a fixing structure;

[0022] Specifically, the fixing structure is used to uniformly fix each piece of metallurgical product produced by the metallurgical product production line on the belt conveyor mechanism, the belt conveyor mechanism is used to push each piece of metallurgical product produced by the metallurgical product production line from the output end of the metallurgical product production line to the quality inspection station at uniform intervals over time, and the real-time positioning mechanism is used to locate the current transmission position of the belt conveyor mechanism.

[0023] The synchronous control mechanism is connected to the piece-by-piece pushing mechanism and the directional capture mechanism respectively, and is used to trigger the single image capture operation of the directional capture mechanism at the same time as the piece-by-piece pushing mechanism completes pushing a single metallurgical product to the top of the quality inspection station.

[0024] A directional capture mechanism is set above the quality inspection station to perform a single image capture operation on the scene of the latest single metallurgical product pushed to the quality inspection station, so as to obtain and output the corresponding product scene image.

[0025] The sequential optimization mechanism includes a front-end optimization unit, a secondary optimization unit, and an end-end optimization unit. The front-end optimization unit is connected to the directional capture mechanism and the secondary optimization unit, respectively. The end-end optimization unit is connected to the secondary optimization unit. The front-end optimization unit performs arithmetic mean filtering on the received product scene image to obtain and output a corresponding front-end optimized image. The secondary optimization unit performs directional blurring on the received front-end optimized image to obtain and output a corresponding secondary optimized image. The end-end optimization unit performs bilateral filtering on the received secondary optimized image to obtain and output a corresponding sequential optimization image.

[0026] A signal resolution device, connected to the sequence optimization mechanism, is used to analyze the geometric shape corresponding to the imaging area occupied by the metallurgical product in the sequence optimization image, and to perform shape analysis on the geometric shape to determine the length curve corresponding to the geometric shape.

[0027] A curve processing device, connected to the signal resolution device, is used to determine the total number of pixels occupied by the length curve corresponding to the metallurgical product in the sequentially optimized image, and at the same time obtain the median value of each depth value corresponding to each pixel in the imaging area corresponding to the metallurgical product.

[0028] A data mapping device, connected to the curve processing device, is used to calculate the field distribution length of the metallurgical product based on the total number of pixels occupied by the length curve corresponding to the metallurgical product in the sequentially optimized image and the median value of each depth value corresponding to each pixel in the imaging area corresponding to the metallurgical product.

[0029] The quality inspection judgment device is connected to the data mapping device and is used to issue a length deviation command when the difference between the on-site distributed length and the standard set length accounts for a proportion of the standard set length that exceeds or equals a set proportion threshold.

[0030] Among them, the calculated on-site distribution length corresponding to the metallurgical product is positively correlated with the total number of pixels occupied by the length curve corresponding to the metallurgical product in the sequentially optimized image, and the calculated on-site distribution length corresponding to the metallurgical product is positively correlated with the median value of each depth value corresponding to each pixel in the imaging area corresponding to the metallurgical product.

[0031] The quality inspection judgment device is also used to issue a length compliance command when the difference between the on-site distributed length and the standard set length is less than the set ratio threshold.

[0032] Example 2

[0033] According to Embodiment 2 of the present invention, a metallurgical product quality inspection management system is shown.

[0034] Compared to Example 1, the metallurgical product quality inspection management system in Example 2 may further include:

[0035] An auxiliary lighting device is disposed near the front-end optimization unit, the secondary optimization unit, the terminal optimization unit, and the signal resolution device, and is respectively connected to the front-end optimization unit, the secondary optimization unit, the terminal optimization unit, and the signal resolution device;

[0036] For example, the auxiliary lighting device includes a plurality of auxiliary lighting units, which are respectively disposed near the front-end optimization unit, the secondary-end optimization unit, the end-end optimization unit and the signal resolution device;

[0037] The auxiliary lighting device, which is located near the front-end optimization unit, the secondary optimization unit, the terminal optimization unit, and the signal resolution device and is connected to each of the above units respectively, includes: the auxiliary lighting device being used to provide auxiliary lighting for the respective locations of the front-end optimization unit, the secondary optimization unit, the terminal optimization unit, and the signal resolution device.

[0038] Example 3

[0039] According to Embodiment 3 of the present invention, a metallurgical product quality inspection management system is shown.

[0040] Compared to Example 1, the metallurgical product quality inspection management system in Example 3 may further include:

[0041] A quartz oscillator is disposed near the front-end optimization unit, the secondary optimization unit, the terminal optimization unit, and the signal resolution device, and is connected to the front-end optimization unit, the secondary optimization unit, the terminal optimization unit, and the signal resolution device, respectively.

[0042] The quartz oscillator, disposed near the front-end optimization unit, the secondary optimization unit, the terminal optimization unit, and the signal resolution device, and connected to the front-end optimization unit, the secondary optimization unit, the terminal optimization unit, and the signal resolution device respectively, includes: the quartz oscillator being used to supply the operating clock sequence to the front-end optimization unit, the secondary optimization unit, the terminal optimization unit, and the signal resolution device respectively.

[0043] Next, the specific structure of the metallurgical product quality inspection management system of the present invention will be further described.

[0044] In the metallurgical product quality inspection management system according to various embodiments of the present invention:

[0045] A GPU processing device is used to perform image data processing on the output data of the front-end optimization unit, the secondary optimization unit, the terminal optimization unit, and the signal resolution device to obtain the output processing data corresponding to the front-end optimization unit, the secondary optimization unit, the terminal optimization unit, and the signal resolution device, respectively.

[0046] In the metallurgical product quality inspection management system according to various embodiments of the present invention:

[0047] Using a GPU processing device to perform image data processing on the output data of the front-end optimization unit, the secondary optimization unit, the terminal optimization unit, and the signal resolution device to obtain the output processing data corresponding to each of the front-end optimization unit, the secondary optimization unit, the terminal optimization unit, and the signal resolution device includes: performing statistical sorting filtering on the output data of the front-end optimization unit, the secondary optimization unit, the terminal optimization unit, and the signal resolution device to obtain the output processing data corresponding to each of the front-end optimization unit, the secondary optimization unit, the terminal optimization unit, and the signal resolution device.

[0048] In the metallurgical product quality inspection management system according to various embodiments of the present invention:

[0049] Using a GPU processing device to perform image data processing on the output data of the front-end optimization unit, the secondary optimization unit, the terminal optimization unit, and the signal resolution device to obtain the output processing data corresponding to each of the front-end optimization unit, the secondary optimization unit, the terminal optimization unit, and the signal resolution device includes: performing cubic polynomial interpolation on the output data of the front-end optimization unit, the secondary optimization unit, the terminal optimization unit, and the signal resolution device to obtain the output processing data corresponding to each of the front-end optimization unit, the secondary optimization unit, the terminal optimization unit, and the signal resolution device.

[0050] In the metallurgical product quality inspection management system according to various embodiments of the present invention:

[0051] Using a GPU processing device to perform image data processing on the output data of the front-end optimization unit, the secondary optimization unit, the terminal optimization unit, and the signal resolution device to obtain the output processing data corresponding to each of the front-end optimization unit, the secondary optimization unit, the terminal optimization unit, and the signal resolution device includes: performing scaling-free transformation blurring on the output data of the front-end optimization unit, the secondary optimization unit, the terminal optimization unit, and the signal resolution device to obtain the output processing data corresponding to each of the front-end optimization unit, the secondary optimization unit, the terminal optimization unit, and the signal resolution device.

[0052] And in the metallurgical product quality inspection management system according to various embodiments of the present invention:

[0053] Using a GPU processing device to perform image data processing on the output data of the front-end optimization unit, the secondary optimization unit, the terminal optimization unit, and the signal resolution device to obtain the output processing data corresponding to each of the front-end optimization unit, the secondary optimization unit, the terminal optimization unit, and the signal resolution device includes: performing Prewitt operator sharpening on the output data of the front-end optimization unit, the secondary optimization unit, the terminal optimization unit, and the signal resolution device to obtain the output processing data corresponding to each of the front-end optimization unit, the secondary optimization unit, the terminal optimization unit, and the signal resolution device.

[0054] In addition, in the metallurgical product quality inspection management system, the analysis of the geometric shape corresponding to the imaging area occupied by the metallurgical product in the sequential optimization image, and the shape analysis of the geometric shape to determine the length curve corresponding to the geometric shape, includes: analyzing the imaging area occupied by the metallurgical product in the sequential optimization image based on the color imaging characteristics of the metal material of the constructed metallurgical product, wherein the color imaging characteristics of the metal material of the constructed metallurgical product are the R value distribution interval, G value distribution interval and B value distribution interval of the metal material of the constructed metallurgical product in the RGB color space, respectively.

[0055] Therefore, the present invention has the following outstanding technical effects:

[0056] Technical effect 1: Analyze the geometric shape corresponding to the imaging area occupied by the metallurgical product in the sequential optimization image, perform shape analysis on the geometric shape to determine the length curve corresponding to the geometric shape, determine the total number of pixels occupied by the length curve corresponding to the metallurgical product in the sequential optimization image, and at the same time obtain the median value of each depth value corresponding to each pixel in the imaging area corresponding to the metallurgical product.

[0057] Technical Effect 2: The field distribution length of the metallurgical product is calculated based on the total number of pixels occupied by the length curve corresponding to the metallurgical product in the sequentially optimized image and the median value of each depth value corresponding to each pixel in the imaging area corresponding to the metallurgical product. The calculated field distribution length of the metallurgical product is positively correlated with the total number of pixels occupied by the length curve corresponding to the metallurgical product in the sequentially optimized image, and the calculated field distribution length of the metallurgical product is positively correlated with the median value of each depth value corresponding to each pixel in the imaging area corresponding to the metallurgical product.

[0058] Technical effect 3: When the difference between the on-site distributed length and the standard set length accounts for a proportion of the standard set length that exceeds or equals a set proportion threshold, a length deviation command is issued; and when the difference between the on-site distributed length and the standard set length accounts for a proportion of the standard set length that is less than the set proportion threshold, a length compliance command is issued.

[0059] Technical Effect 4: Based on the color imaging characteristics of the metal materials of the constructed metallurgical products, the imaging area occupied by the metallurgical products in the sequentially optimized image is analyzed. The color imaging characteristics of the metal materials of the constructed metallurgical products are the R value distribution range, G value distribution range and B value distribution range of the metal materials of the constructed metallurgical products in the RGB color space, respectively.

[0060] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of this disclosure, and not to limit them. Although this disclosure has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some or all of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of this disclosure, and they should all be covered within the scope of the claims and specification of this disclosure.

Claims

1. A metallurgical product quality inspection and management system, characterized in that, The system includes: The piece-by-piece pushing mechanism is used to push the individual metallurgical products produced by the metallurgical product production line from the output end of the metallurgical product production line to the quality inspection station in a timed, uniform, and spaced manner. Each metallurgical product has the same standard set length. The synchronous control mechanism is connected to the piece-by-piece pushing mechanism and the directional capture mechanism respectively, and is used to trigger the single image capture operation of the directional capture mechanism at the same time as the piece-by-piece pushing mechanism completes pushing a single metallurgical product to the top of the quality inspection station. A directional capture mechanism is set above the quality inspection station to perform a single image capture operation on the scene of the latest single metallurgical product pushed to the quality inspection station, so as to obtain and output the corresponding product scene image. The sequential optimization mechanism includes a front-end optimization unit, a secondary optimization unit, and an end-end optimization unit. The front-end optimization unit is connected to the directional capture mechanism and the secondary optimization unit, respectively. The end-end optimization unit is connected to the secondary optimization unit. The front-end optimization unit performs arithmetic mean filtering on the received product scene image to obtain and output a corresponding front-end optimized image. The secondary optimization unit performs directional blurring on the received front-end optimized image to obtain and output a corresponding secondary optimized image. The end-end optimization unit performs bilateral filtering on the received secondary optimized image to obtain and output a corresponding sequential optimization image. A signal resolution device, connected to the sequence optimization mechanism, is used to analyze the geometric shape corresponding to the imaging area occupied by a single metallurgical product in the sequence optimization image, and to perform shape analysis on the geometric shape to determine the length curve corresponding to the geometric shape. A curve processing device, connected to the signal resolution device, is used to determine the total number of pixels occupied by the length curve corresponding to a single metallurgical product in the sequentially optimized image, and to obtain the median value of each depth value corresponding to each pixel in the imaging area corresponding to the single metallurgical product. A data mapping device, connected to the curve processing device, is used to calculate the field distribution length of a single metallurgical product based on the total number of pixels occupied by the length curve corresponding to a single metallurgical product in the sequentially optimized image and the median value of each depth value corresponding to each pixel in the imaging area corresponding to the single metallurgical product. The quality inspection judgment device is connected to the data mapping device and is used to issue a length deviation command when the difference between the on-site distributed length and the standard set length accounts for a proportion of the standard set length that exceeds or equals a set proportion threshold. Among them, the calculated on-site distribution length corresponding to a single metallurgical product is positively correlated with the total number of pixels occupied by the length curve corresponding to the single metallurgical product in the sequentially optimized image, and the calculated on-site distribution length corresponding to a single metallurgical product is positively correlated with the median value of each depth value corresponding to each pixel in the imaging area corresponding to the single metallurgical product.

2. The metallurgical product quality inspection management system as described in claim 1, characterized in that: The quality inspection judgment device is also used to issue a length compliance command when the difference between the on-site distributed length and the standard set length is less than the set ratio threshold.

3. The metallurgical product quality inspection management system as described in claim 2, characterized in that, The system also includes: An auxiliary lighting device is disposed near the front-end optimization unit, the secondary optimization unit, the terminal optimization unit, and the signal resolution device, and is respectively connected to the front-end optimization unit, the secondary optimization unit, the terminal optimization unit, and the signal resolution device; The auxiliary lighting device, which is located near the front-end optimization unit, the secondary optimization unit, the terminal optimization unit, and the signal resolution device and is connected to each of the above units respectively, includes: the auxiliary lighting device being used to provide auxiliary lighting for the respective locations of the front-end optimization unit, the secondary optimization unit, the terminal optimization unit, and the signal resolution device.

4. The metallurgical product quality inspection management system as described in claim 2, characterized in that, The system also includes: A quartz oscillator is disposed near the front-end optimization unit, the secondary optimization unit, the terminal optimization unit, and the signal resolution device, and is connected to the front-end optimization unit, the secondary optimization unit, the terminal optimization unit, and the signal resolution device, respectively. The quartz oscillator, disposed near the front-end optimization unit, the secondary optimization unit, the terminal optimization unit, and the signal resolution device, and connected to the front-end optimization unit, the secondary optimization unit, the terminal optimization unit, and the signal resolution device respectively, includes: the quartz oscillator being used to supply the operating clock sequence to the front-end optimization unit, the secondary optimization unit, the terminal optimization unit, and the signal resolution device respectively.

5. The metallurgical product quality inspection management system as described in any one of claims 2-4, characterized in that: A GPU processing device is used to perform image data processing on the output data of the front-end optimization unit, the secondary optimization unit, the terminal optimization unit, and the signal resolution device to obtain the output processing data corresponding to the front-end optimization unit, the secondary optimization unit, the terminal optimization unit, and the signal resolution device, respectively.

6. The metallurgical product quality inspection management system as described in claim 5, characterized in that: Using a GPU processing device to perform image data processing on the output data of the front-end optimization unit, the secondary optimization unit, the terminal optimization unit, and the signal resolution device to obtain the output processing data corresponding to each of the front-end optimization unit, the secondary optimization unit, the terminal optimization unit, and the signal resolution device includes: performing statistical sorting filtering on the output data of the front-end optimization unit, the secondary optimization unit, the terminal optimization unit, and the signal resolution device to obtain the output processing data corresponding to each of the front-end optimization unit, the secondary optimization unit, the terminal optimization unit, and the signal resolution device.

7. The metallurgical product quality inspection management system as described in claim 5, characterized in that: Using a GPU processing device to perform image data processing on the output data of the front-end optimization unit, the secondary optimization unit, the terminal optimization unit, and the signal resolution device to obtain the output processing data corresponding to each of the front-end optimization unit, the secondary optimization unit, the terminal optimization unit, and the signal resolution device includes: performing cubic polynomial interpolation on the output data of the front-end optimization unit, the secondary optimization unit, the terminal optimization unit, and the signal resolution device to obtain the output processing data corresponding to each of the front-end optimization unit, the secondary optimization unit, the terminal optimization unit, and the signal resolution device.

8. The metallurgical product quality inspection management system as described in claim 5, characterized in that: Using a GPU processing device to perform image data processing on the output data of the front-end optimization unit, the secondary optimization unit, the terminal optimization unit, and the signal resolution device to obtain the output processing data corresponding to each of the front-end optimization unit, the secondary optimization unit, the terminal optimization unit, and the signal resolution device includes: performing scaling-free transformation blurring on the output data of the front-end optimization unit, the secondary optimization unit, the terminal optimization unit, and the signal resolution device to obtain the output processing data corresponding to each of the front-end optimization unit, the secondary optimization unit, the terminal optimization unit, and the signal resolution device.

9. The metallurgical product quality inspection management system as described in claim 5, characterized in that: Using a GPU processing device to perform image data processing on the output data of the front-end optimization unit, the secondary optimization unit, the terminal optimization unit, and the signal resolution device to obtain the output processing data corresponding to each of the front-end optimization unit, the secondary optimization unit, the terminal optimization unit, and the signal resolution device includes: performing Prewitt operator sharpening on the output data of the front-end optimization unit, the secondary optimization unit, the terminal optimization unit, and the signal resolution device to obtain the output processing data corresponding to each of the front-end optimization unit, the secondary optimization unit, the terminal optimization unit, and the signal resolution device.