CN107321801B - Hot-rolled strip steel judgment method and hot-rolled online quality judgment system - Google Patents
Hot-rolled strip steel judgment method and hot-rolled online quality judgment system Download PDFInfo
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- CN107321801B CN107321801B CN201710495184.7A CN201710495184A CN107321801B CN 107321801 B CN107321801 B CN 107321801B CN 201710495184 A CN201710495184 A CN 201710495184A CN 107321801 B CN107321801 B CN 107321801B
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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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- 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
- B21B2261/00—Product parameters
- B21B2261/02—Transverse dimensions
- B21B2261/04—Thickness, gauge
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B21—MECHANICAL METAL-WORKING WITHOUT ESSENTIALLY REMOVING MATERIAL; PUNCHING METAL
- B21B—ROLLING OF METAL
- B21B2261/00—Product parameters
- B21B2261/02—Transverse dimensions
- B21B2261/06—Width
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B21—MECHANICAL METAL-WORKING WITHOUT ESSENTIALLY REMOVING MATERIAL; PUNCHING METAL
- B21B—ROLLING OF METAL
- B21B2261/00—Product parameters
- B21B2261/20—Temperature
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B21—MECHANICAL METAL-WORKING WITHOUT ESSENTIALLY REMOVING MATERIAL; PUNCHING METAL
- B21B—ROLLING OF METAL
- B21B2263/00—Shape of product
- B21B2263/04—Flatness
Abstract
The invention discloses a judging method of hot-rolled strip steel and a hot-rolled online quality judging system, which are characterized in that N key process control parameter curves of the hot-rolled strip steel are firstly obtained, then N parameters in the N key process control parameter curves are judged based on a preset judging rule in the hot-rolled online quality judging system, and a specific judging grade is given, wherein the preset judging rule is a rule verified by using historical data, so that the judging accuracy can be improved when the judging rule is used for judging.
Description
Technical Field
The application relates to the field of hot-rolled strip steel, in particular to a method for judging hot-rolled strip steel and a hot-rolled online quality judging system.
Background
At present, domestic quality judgment of hot rolled coils still stays in a manual judgment stage, and especially for some strip shape parameters such as: the straightness, convexity, wedge shape, etc. are all determined according to the PDO mean (average of the process parameter curves) and cannot meet the increasingly stringent quality requirements of the customers.
The manual judgment method has the following disadvantages:
1) the method can not meet the requirement of complete quality inspection coverage, defects and omission are easy to occur, unqualified products are easy to circulate, and quality objection is caused;
2) the quality inspection result is seriously lagged, and batch quality accidents are easy to happen;
3) when the quality is judged, the subjective consciousness and experience of quality testing personnel are different, so that the judgment results of the same product are different.
For the reasons, a hot rolling online quality judgment system is introduced at present, a hot rolling key process parameter curve is extracted, and the full-length judgment is carried out on the curve according to the judgment rule of the system, but the judgment accuracy of the current hot rolling online quality judgment system is not high, so that the situation of misjudgment is caused frequently.
Disclosure of Invention
The invention provides a method for judging hot-rolled strip steel and a hot-rolled online quality judging system, which aim to solve the technical problem that the judging accuracy of the conventional hot-rolled online quality judging system is not high.
In order to solve the technical problem, the invention provides a method for judging hot-rolled strip steel, which comprises the following steps:
obtaining N key process control parameter curves of the hot-rolled strip steel, wherein N is a positive integer;
and judging N parameters in the N key process control parameter curves based on a preset judgment rule in the hot rolling online quality judgment system, and giving a specific judgment grade, wherein the preset judgment rule is a rule verified by using historical data.
Preferably, the N key process control parameter curves include at least:
width, thickness, convexity, flatness, wedge shape, finish rolling temperature, coiling temperature, and defect information of the hot rolling surface quality detection system.
Preferably, when the N key process control parameter curves include width and thickness,
the preset judgment rule is as follows:
setting the head and the tail not to participate in the judgment for the distance A m;
setting upper and lower control limits;
setting the allowable point of the head part B m exceeding the upper limit C mm not to exceed D% and the allowable point of the middle part exceeding the upper limit not to exceed E% according to a sectional judgment method;
wherein, A takes 3-10, B takes 10-30, C takes 3-8, D takes 0-50, E takes 0-10.
Preferably, when the N key process control parameter curves include convexity, wedge, flatness,
the preset judgment rule is as follows:
setting the head and the tail not to participate in the judgment for the distance A m;
the wedge is judged by adopting a difference method according to a sectional judgment method, the wedge difference of B meters at the head and the tail is set to be not more than C micrometers, and the wedge difference of the middle part is set to be not more than D micrometers;
setting a flatness control interval E and a convexity control interval F, wherein the exceeding control interval is less than G m or the exceeding proportion is less than H%;
wherein, A takes 5-10, B takes 10-30, C takes 45-80, D takes 30-60, E takes the subset in the range of [ -150,150], F takes the subset in the range of [0,100], G takes 0-50, F takes 0-30.
Preferably, when the N key process control parameter curves include: finish rolling and coiling temperature;
the preset judgment rule is as follows:
setting the head and the tail not to participate in the judgment for the distance A m;
setting a temperature control interval as plus or minus 30 degrees based on a target value, wherein the exceeding control interval is less than B meters or the exceeding proportion is less than C%;
wherein, A takes 10-20, B takes 30-100, C takes 10-30.
Preferably, when the N key process control parameter curves include defect information of the hot-rolled surface quality inspection system, the preset determination rule is:
the distance between the head and the tail which do not participate in the judgment is set to be 2-10 m, and the judgment is carried out according to the size, the area, the density and the distance between the head and the tail and the edge of the defect.
The invention discloses a hot rolling online quality judgment system, which comprises:
the obtaining module is used for obtaining N key process control parameter curves of the hot-rolled strip steel, wherein N is a positive integer;
and the judging module is used for judging N parameters in the N key process control parameter curves based on a judging rule preset in the hot rolling online quality judging system and giving a specific judging grade.
Preferably, the N key process control parameter curves include at least:
width, thickness, convexity, flatness, wedge shape, finish rolling temperature, coiling temperature, and defect information of the hot rolling surface quality detection system.
Preferably, when the N key process control parameter curves include width and thickness,
the preset judgment rule is as follows:
setting the head and the tail not to participate in the judgment for the distance A m;
setting upper and lower control limits;
setting the allowable point of the head part B m exceeding the upper limit C mm not to exceed D% and the allowable point of the middle part exceeding the upper limit not to exceed E% according to a sectional judgment method;
wherein, A takes 3-10, B takes 10-30, C takes 3-8, D takes 0-50, E takes 0-10.
Preferably, when the N key process control parameter curves include convexity, wedge, flatness,
the preset judgment rule is as follows:
setting the head and the tail not to participate in the judgment for the distance A m;
the wedge is judged by adopting a difference method according to a sectional judgment method, the wedge difference of B meters at the head and the tail is set to be not more than C micrometers, and the wedge difference of the middle part is set to be not more than D micrometers;
setting a flatness control interval E and a convexity control interval F, wherein the exceeding control interval is less than G m or the exceeding proportion is less than H%;
wherein, A takes 5-10, B takes 10-30, C takes 45-80, D takes 30-60, E takes the subset in the range of [ -150,150], F takes the subset in the range of [0,100], G takes 0-50, F takes 0-30.
Preferably, coiling and finishing temperatures: and judging to be blocked if the target temperature fluctuates within plus or minus 30 ℃ and exceeds 50 meters. The performance is basically not influenced by tracking the final rolling and coiling temperature change by plus or minus 30 degrees, so that the plus or minus 30 degrees is used as the upper and lower control limits.
Preferably, the surface quality: and judging according to the size, the area, the density and the distance from the head, the tail and the edge of the defect. The holes and edge crack defects are blocked when appearing, the number of scratch defects is larger than 100, the number of iron sheet defects is larger than 30, the area of roll mark defects is larger than 300mm2I.e. lockout.
Through one or more technical schemes of the invention, the invention has the following beneficial effects or advantages:
the invention discloses a judging method of hot-rolled strip steel, which comprises the steps of firstly obtaining N key process control parameter curves of the hot-rolled strip steel, then judging N parameters in the N key process control parameter curves based on a preset judging rule in a hot-rolled online quality judging system, and giving a specific judging grade, wherein the preset judging rule is a rule verified by using historical data, so that the judging accuracy can be improved when the judging rule is used for judging.
Drawings
FIG. 1 is a flowchart of a method for determining a hot rolled strip according to an embodiment of the present invention;
FIG. 2 is a schematic diagram showing the composition of an in-line hot rolling quality determination system according to an embodiment of the present invention.
Detailed Description
In order to make the present application more clearly understood by those skilled in the art to which the present application pertains, the following detailed description of the present application is made with reference to the accompanying drawings by way of specific embodiments.
The invention provides a method for judging hot-rolled strip steel, which is used for completely or at least partially solving the problem of low accuracy of the current hot-rolled strip steel judgment and improving the accuracy of the hot-rolled strip steel judgment.
Referring to fig. 1, a process diagram of the method for determining a hot rolled strip according to the present invention is shown, the method including:
and 11, obtaining N key process control parameter curves of the hot-rolled strip steel.
Wherein N is a positive integer.
The key process control parameter curves may have a plurality of parameters, and in the present invention, the N key process control parameter curves include at least: width, thickness, convexity, flatness, wedge shape, finish rolling temperature, coiling temperature, and defect information of the hot rolling surface quality detection system. The major types of defects are judged by selecting several types of scars, warping, foreign matters, holes, edge cracks, iron scales, roll marks and scratches.
The invention selects 8 key process control parameter curves influencing the size, the plate shape, the performance and the surface of the strip steel as parameter bases for online judgment. Wherein, the dimension process parameters are width and thickness, the plate type process parameters are convexity, straightness and wedge, the performance process parameters are finish rolling temperature and coiling temperature, and the surface process parameters are defect information of a hot rolling surface quality detection system.
The invention designs corresponding judgment rules aiming at the parameters, and the hot rolling online quality judgment system judges the hot rolling strip steel by using the judgment rules.
And 12, judging N parameters in the N key process control parameter curves based on a preset judgment rule in the hot rolling online quality judgment system, and giving a specific judgment grade, wherein the preset judgment rule is a rule verified by using historical data. The historical data checking method comprises the following steps: a quality engineer for hot rolling selects the quality information data of 1000 coils from the previous rolling history data, and gives a quality judgment result. These data include 40% for quality failure, 40% for quality pass, and 20% for quality pass and fail margin. And judging by applying the current judgment rule, and judging that the judgment rule has no problem when the judgment accuracy reaches more than 98% by applying historical data, and applying the judgment rule to the actual production process for judgment.
In the specific implementation process, the invention introduces the judgment rule firstly:
when the N key process control parameter curves include a width and a thickness, the preset determination rule is:
setting the head and the tail not to participate in the judgment for the distance A m;
setting upper and lower control limits;
setting the allowable point of the head part B m exceeding the upper limit C mm not to exceed D% and the allowable point of the middle part exceeding the upper limit not to exceed E% according to a sectional judgment method;
wherein, A takes 3-10, B takes 10-30, C takes 3-8, D takes 0-50, E takes 0-10.
When the N key process control parameter curves comprise convexity, wedge and straightness, the preset judgment rule is as follows:
setting the head and the tail not to participate in the judgment for the distance A m;
the wedge is judged by adopting a difference method according to a sectional judgment method, the wedge difference of B meters at the head and the tail is set to be not more than C micrometers, and the wedge difference of the middle part is set to be not more than D micrometers;
setting a flatness control interval E and a convexity control interval F, wherein the exceeding control interval is less than G m or the exceeding proportion is less than H%;
wherein, A takes 5-10, B takes 10-30, C takes 45-80, D takes 30-60, E takes the subset in the range of [ -150,150], F takes the subset in the range of [0,100], G takes 0-50, F takes 0-30.
When the N key process control parameter curves include: finish rolling and coiling temperature; the preset judgment rule is as follows:
setting the head and the tail not to participate in the judgment for the distance A m;
setting a temperature control interval as plus or minus 30 degrees based on a target value, wherein the exceeding control interval is less than B meters or the exceeding proportion is less than C%;
wherein, A takes 10-20, B takes 30-100, C takes 10-30.
When the N key process control parameter curves include defect information of the hot-rolled surface quality inspection system, the preset determination rule is:
the distance between the head and the tail which do not participate in the judgment is set to be 2-10 m, and the judgment is carried out according to the size, the area, the density and the distance between the head and the tail and the edge of the defect.
The above judgment rule has the advantages compared with the traditional judgment rule: the traditional judgment rule generally judges according to the average value of the quality curve only, and does not consider the overall fluctuation condition of the quality curve, so that the requirement of a client cannot be completely converted into the quality judgment rule, and therefore, even a product with qualified judgment quality cannot completely meet the requirement of the client, and more quality objections are caused. The judgment rule provided by the invention can not only judge the mean value of the curve, but also can realize that the individualized judgment rule is made according to the full-length fluctuation condition of the curve, such as the number of meters which are not judged at the head and the tail, the percentage of the curve which is allowed to exceed the limit, the number of meters which is allowed to exceed the limit by the curve, the extreme value in a certain range of the curve and the like, so that the individualized requirement of a client can be completely converted into the quality judgment rule, the requirement of the client is met, and the accurate judgment of the quality of the strip steel is realized.
In the following embodiments, after the determination rules are determined, the determination rules may be classified and stored, so that when the determination of different hot rolled strips is implemented, the hot rolled online quality determination system may directly call the determination rules in the corresponding categories for determination.
For example, according to the personalized requirements of customers on the quality of the steel grade, the rule groups for judging the quality of the steel grade are divided, and different judgment rules are customized according to different customer requirements. For example, steel grades are divided into regular groups of cold rolled materials, common carbon, pipeline steel, checkered plates, silicon steel and the like. Then, the corresponding rules are divided into corresponding rule groups according to different rule groups, and the same judgment rule may exist between different rule groups. For example, the two rule sets of cold rolled material and common carbon have judgment rules related to width and thickness. The design is convenient for the hot rolling online quality judgment system to conveniently call corresponding rules to carry out rapid judgment when judging different types of hot rolling strip steel.
Of course, the present invention may be divided into other rule groups besides the rule group described above, and the present invention is not limited herein.
After the judgment rule is formulated, in order to ensure the judgment accuracy of the judgment rule, the invention also applies historical data to carry out rule verification and checks whether the formulated judgment rule has problems. And then the automatically judged rule is applied to the actual production process for quality judgment.
In the specific verification process, the verification is performed through historical data, and the specific implementation process is as follows: the historical data checking method comprises the following steps: a quality engineer for hot rolling selects the quality information data of 1000 coils from the previous rolling history data, and gives a quality judgment result. These data include 40% for quality failure, 40% for quality pass, and 20% for quality pass and fail margin. And judging by applying the current judgment rule, and judging that the judgment rule has no problem when the judgment accuracy reaches more than 98% by applying historical data, and applying the judgment rule to the actual production process for judgment.
In one embodiment, the rule setting parameters for the key varieties are summarized in the following table:
TABLE 1
And formulating and optimizing the rules of the high-strength cold rolled material hot rolling online quality judgment system according to the table.
Taking 8 key process control parameter curves of width, thickness, flatness, wedge shape, convexity, finish rolling temperature, coiling temperature and surface quality as the basis of online judgment;
dividing the high-strength cold rolling material into cold rolling material rule groups;
rule making:
size class:
setting the head and the tail not to participate in the judgment for a distance of 3 m;
thickness standard: setting control upper and lower limits according to national standards, and controlling the width according to 0-20;
the width is determined according to a sectional determination method, the point of which the allowable length of the head part is 30 meters exceeds the upper limit of 8 millimeters is not more than 50 percent, and the point of which the middle part exceeds the upper limit is not more than 10 percent;
if the requirement is not met, the blocking is judged to be accepted by manual review.
Because the head and the tail of the hot-rolled strip steel have the defect of certain camber, the width control requirement of 30 meters of the head and the tail is properly widened, the problem that the amount of single-side edge cutting of cold rolling caused by the camber of the head and the tail of the strip is too small is solved, and the phenomenon of cold rolling edge blocking and hanging is reduced.
Plate type:
setting the head and the tail not to participate in the judgment for a distance of 10 meters;
the wedge is judged by adopting a difference method according to a sectional judgment method, the wedge difference of 30 meters at the head and the tail is not more than 60 micrometers, and the wedge difference of the middle part is not more than 45 micrometers;
setting a flatness control interval of +/-100I and a convexity control interval of [10,80], wherein the out-of-control proportion is less than 30%;
if the requirement is not met, the blocking is judged to be accepted by manual review.
By tracking the convexity to be less than 10, the bulge defect is easy to occur, the shape control of high-strength steel is not facilitated, if the convexity is more than 80, the convexity is too large, and unstable factors are increased in the cold rolling process. The defects of deviation and belt breakage of downstream customers are easily caused by tracking the wedge-shaped abrupt change of the head and the tail, so the requirement on the wedge-shaped abrupt change of the head and the tail is strict compared with that of the middle part.
Performance class:
coiling and finishing temperature: and judging to be blocked if the target temperature fluctuates within plus or minus 30 ℃ and exceeds 50 meters. The performance is basically not influenced by tracking the final rolling and coiling temperature change by plus or minus 30 degrees, so that the plus or minus 30 degrees is used as the upper and lower control limits.
Surface quality: and judging according to the size, the area, the density and the distance from the head, the tail and the edge of the defect. The holes and edge crack defects are blocked when appearing, the number of scratch defects is larger than 100, the number of iron sheet defects is larger than 30, the area of roll mark defects is larger than 300mm2I.e. lockout.
The rule is checked by applying historical data, whether the rule is made to be a problem or not is checked, and the judgment rule is accurate after checking.
The rule is applied to actual production to obtain 8 key process control parameter curves of the hot rolled strip steel. And judging the 8 key process control parameter curves by using a preset judgment rule.
And optimizing the judgment rule at any time according to the change of the customer demand to meet the demand of the final customer.
By the method, the online judgment accuracy of the high-strength cold rolled material reaches 98%, and the quality requirements of downstream customers are met.
Based on the unified inventive concept, referring to fig. 2, the invention discloses a hot rolling online quality determination system, comprising:
an obtaining module 21, configured to obtain N key process control parameter curves of the hot-rolled strip steel, where N is a positive integer; the N key process control parameter curves include at least:
width, thickness, convexity, flatness, wedge shape, finish rolling temperature, coiling temperature, and defect information of the hot rolling surface quality detection system.
And the judging module 22 is used for judging the N parameters in the N key process control parameter curves based on a judging rule preset in the hot rolling online quality judging system and giving a specific judging grade.
As an alternative embodiment, when the N key process control parameter curves include width and thickness,
the preset judgment rule is as follows:
setting the head and the tail not to participate in the judgment for the distance A m;
setting upper and lower control limits;
setting the allowable point of the head part B m exceeding the upper limit C mm not to exceed D% and the allowable point of the middle part exceeding the upper limit not to exceed E% according to a sectional judgment method;
wherein, A takes 3-10, B takes 10-30, C takes 3-8, D takes 0-50, E takes 0-10.
As an alternative embodiment, when the N key process control parameter curves include convexity, wedge, flatness,
the preset judgment rule is as follows:
setting the head and the tail not to participate in the judgment for the distance A m;
the wedge is judged by adopting a difference method according to a sectional judgment method, the wedge difference of B meters at the head and the tail is set to be not more than C micrometers, and the wedge difference of the middle part is set to be not more than D micrometers;
setting a flatness control interval E and a convexity control interval F, wherein the exceeding control interval is less than G m or the exceeding proportion is less than H%;
wherein, A takes 5-10, B takes 10-30, C takes 45-80, D takes 30-60, E takes the subset in the range of [ -150,150], F takes the subset in the range of [0,100], G takes 0-50, F takes 0-30.
In practical application, the judgment rule in the system of the invention continuously optimizes the improvement rule by tracking the quality requirement of the client subsequently, thereby meeting the requirement of the final client.
Through one or more embodiments of the present invention, the present invention has the following advantageous effects or advantages:
the invention discloses a judging method of hot-rolled strip steel and a hot-rolled online quality judging system, which are characterized in that N key process control parameter curves of the hot-rolled strip steel are firstly obtained, then N parameters in the N key process control parameter curves are judged based on a preset judging rule in the hot-rolled online quality judging system, and a specific judging grade is given, wherein the preset judging rule is a rule verified by using historical data, so that the judging accuracy can be improved when the judging rule is used for judging.
While the preferred embodiments of the present application have been described, additional variations and modifications in those embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. Therefore, it is intended that the appended claims be interpreted as including preferred embodiments and all alterations and modifications as fall within the scope of the application.
It will be apparent to those skilled in the art that various changes and modifications may be made in the present application without departing from the spirit and scope of the application. Thus, if such modifications and variations of the present application fall within the scope of the claims of the present application and their equivalents, the present application is intended to include such modifications and variations as well.
Claims (2)
1. A method of determining a hot rolled strip, the method comprising:
obtaining N key process control parameter curves of the hot-rolled strip steel, wherein the N key process control parameter curves at least comprise: width, thickness, convexity, flatness, wedge shape, finish rolling temperature, coiling temperature, and defect information of a hot rolling surface quality detection system; wherein N is a positive integer;
judging N parameters in the N key process control parameter curves based on a preset judgment rule in a hot rolling online quality judgment system, and giving a specific judgment grade, wherein the preset judgment rule is a rule verified by using historical data; when the N key process control parameter curves include defect information of the hot-rolled surface quality inspection system, the preset determination rule is: setting the distance between the head and the tail which do not participate in the judgment to be 2-10 m, and judging according to the size, the area, the density and the distance between the head and the tail and the edge of the defect;
when the N key process control parameter curves include width and thickness,
the preset judgment rule is as follows:
setting the head and the tail not to participate in the judgment for the distance A m;
setting upper and lower control limits;
setting the allowable point of the head part B m exceeding the upper limit C mm not to exceed D% and the allowable point of the middle part exceeding the upper limit not to exceed E% according to a sectional judgment method;
wherein, A takes 3-10, B takes 10-30, C takes 3-8, D takes 0-50, E takes 0-10;
when the N key process control parameter curves include convexity, wedge, flatness,
the preset judgment rule is as follows:
setting the head and the tail not to participate in the judgment for the distance A m;
the wedge is judged by adopting a difference method according to a sectional judgment method, the wedge difference of B meters at the head and the tail is set to be not more than C micrometers, and the wedge difference of the middle part is set to be not more than D micrometers;
setting a flatness control interval E and a convexity control interval F, wherein the exceeding control interval is less than G m or the exceeding proportion is less than H%;
wherein, A takes the value of 5-10, B takes the value of 10-30, C takes the value of 45-80, D takes the value of 30-60, E takes the subset in the range of [ -150,150], F takes the subset in the range of [0,100], G takes the value of 0-50, H takes the value of 0-30;
when the N key process control parameter curves include: finish rolling and coiling temperature;
the preset judgment rule is as follows:
setting the head and the tail not to participate in the judgment for the distance A m;
setting a temperature control interval as plus or minus 30 degrees based on a target value, wherein the exceeding control interval is less than B meters or the exceeding proportion is less than C%;
wherein, A takes 10-20, B takes 30-100, C takes 10-30.
2. A hot rolling online quality determination system is characterized by comprising:
an obtaining module configured to obtain N key process control parameter curves of the hot-rolled strip steel, where the N key process control parameter curves at least include: width, thickness, convexity, flatness, wedge shape, finish rolling temperature, coiling temperature, and defect information of a hot rolling surface quality detection system; wherein N is a positive integer;
the judging module is used for judging N parameters in the N key process control parameter curves based on a preset judging rule in the hot rolling online quality judging system and giving a specific judging grade, wherein the preset judging rule is a rule verified by using historical data; when the N key process control parameter curves include defect information of the hot-rolled surface quality inspection system, the preset determination rule is: setting the distance between the head and the tail which do not participate in the judgment to be 2-10 m, and judging according to the size, the area, the density and the distance between the head and the tail and the edge of the defect;
when the N key process control parameter curves include width and thickness,
the preset judgment rule is as follows:
setting the head and the tail not to participate in the judgment for the distance A m;
setting upper and lower control limits;
setting the allowable point of the head part B m exceeding the upper limit C mm not to exceed D% and the allowable point of the middle part exceeding the upper limit not to exceed E% according to a sectional judgment method;
wherein, A takes 3-10, B takes 10-30, C takes 3-8, D takes 0-50, E takes 0-10;
when the N key process control parameter curves include convexity, wedge, flatness,
the preset judgment rule is as follows:
setting the head and the tail not to participate in the judgment for the distance A m;
the wedge is judged by adopting a difference method according to a sectional judgment method, the wedge difference of B meters at the head and the tail is set to be not more than C micrometers, and the wedge difference of the middle part is set to be not more than D micrometers;
setting a flatness control interval E and a convexity control interval F, wherein the exceeding control interval is less than G m or the exceeding proportion is less than H%;
wherein, A takes 5-10, B takes 10-30, C takes 45-80, D takes 30-60, E takes the subset in the range of [ -150,150], F takes the subset in the range of [0,100], G takes 0-50, H takes 0-30.
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| CN108152292B (en) * | 2017-12-07 | 2021-03-09 | 北京首钢股份有限公司 | Detection method for edge interference of hot rolling surface quality detection system |
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