Strip steel production quality evaluation system

Abstract

The invention relates to the technical field of strip steel quality evaluation, and discloses a strip steel production quality evaluation system. The strip steel production quality evaluation system comprises a strip steel surface flaw acquisition unit, a strip steel production process influence unit, a strip steel physical parameter acquisition unit, a first evaluation module, a second evaluation module and a comprehensive evaluation module. According to the system, image acquisition is carried out on strip steel surface defects, interference factors are synthesized, a defect influence coefficient is output, the fluctuation condition of process parameters of the current batch of strip steel in the production process is obtained, a production process influence coefficient is calculated, and a first evaluation coefficient is obtained through calculation in combination with the defect influence coefficient and physical parameters in a strip steel database; the production process influence coefficient and the physical parameters in the strip steel database are combined, the second evaluation coefficient is obtained through comprehensive calculation, the comprehensive evaluation coefficient is finally obtained, the specific production quality grade of the strip steel of the current batch can be accurately determined, specific causing factors can be better determined when the quality does not reach the standard, and the production efficiency is improved. And a corresponding scheduling worker carries out maintenance.

Description

Technical Field

[0001] The invention relates to the technical field of strip steel quality assessment, in particular to a strip steel production quality assessment system. Background Art

[0002] As one of the main products of the steel industry, the quality of hot-rolled strip steel mainly includes indicators such as size, plate shape, surface quality, and performance. Among them, surface quality has the greatest impact on the quality of the final product due to its complex formation mechanism and high frequency of occurrence. It is one of the most important and difficult to control quality indicators. The comprehensive quality evaluation of the entire roll of hot-rolled strip steel combined with various surface quality defects is conducive to more efficient evaluation of the quality grade of the steel strip;

[0003] The traditional comprehensive quality evaluation of hot-rolled strip steel is to judge whether it is qualified by comparing the quality index of hot-rolled strip steel with the specified values ​​of relevant indexes of national standards or enterprise standards. The current main evaluation method is based on the real-time production data related to the controllable parameters such as dimensional tolerance, curvature, heating temperature, time, speed, etc. in the production process including billet preparation, heating, rough rolling, and finishing rolling, that is, production equipment parameters, combined with the length, width, defect size, position and other parameters of the product, that is, product parameters, and the experience of experts in the field of hot-rolled strip steel and national standards are used to evaluate the surface quality of hot-rolled strip steel. The specific implementation plan is to summarize the corresponding production equipment parameters and product parameters of qualified products by experts in this field and combine them with national standards to form a rule database. When making grade assessment, the expert experience and national standards stored in the rule database are compared with the corresponding batch of products to judge whether the production equipment parameters and product parameters are within the range of the rule data. The evaluation results of this evaluation method are rough and have not achieved a comprehensive multi-level evaluation. Summary of the invention

[0004] In view of the deficiencies in the prior art, the present invention provides a strip steel production quality assessment system, which has the advantages of accurately providing the strip steel production quality and solves the above-mentioned technical problems.

[0005] To achieve the above-mentioned object, the present invention provides the following technical solutions: a strip steel production quality assessment system, comprising a strip steel surface defect collection unit, a strip steel production process influence unit, a strip steel physical parameter collection unit, a first assessment module, a second assessment module and a comprehensive assessment module;

[0006] The strip surface defect acquisition unit is used to acquire images of the strip surface defect points and output the defect influence coefficient after integrating the interference factors;

[0007] The strip steel production process influence unit is used to obtain the fluctuation of process parameters of the current batch of strip steel during the production process and comprehensively calculate the production process influence coefficient;

[0008] The strip steel physical parameter acquisition unit is used to acquire the physical parameters of the current batch of strip steel and build a strip steel database;

[0009] The first evaluation module is used to combine the defect influence coefficient and the physical parameters in the strip database to comprehensively calculate the first evaluation coefficient ;

[0010] The second evaluation module is used to combine the production process influence coefficient and the physical parameters in the strip database to comprehensively calculate the second evaluation coefficient. ;

[0011] The comprehensive evaluation module is used to combine the first evaluation coefficient and the second evaluation coefficient The comprehensive evaluation coefficient is finally obtained by comprehensive calculation The comprehensive evaluation module is based on the comprehensive evaluation coefficient Determine whether to issue an early warning.

[0012] As a preferred technical solution of the present invention, the strip surface defect collection unit is used to collect the strip surface defect points and output the defect influence coefficient after integrating the interference factors. The specific steps are as follows:

[0013] Step A1: acquiring image data of the surface of the steel strip acquired by an image acquisition device;

[0014] Step A2: Mark all the defects on the surface of the strip, including the area of ​​each defect and the shortest distance between the defects, and comprehensively calculate the defect impact factor ;

[0015] Step A3: Obtain the interference factors in the image acquisition process of the image acquisition device, and comprehensively calculate the interference influencing factors ;

[0016] Step A4: Based on defect impact factor and interference factors Comprehensive calculation to obtain the defect influence coefficient , the specific expression is as follows:

[0017]

[0018] in, represents the defect influence coefficient, represents the defect impact factor, Represents the interference factor.

[0019] As a preferred technical solution of the present invention, in step A2, all defect points on the surface of the strip are marked, including the area of ​​each defect point and the shortest distance of the defect point, and the defect impact factor is comprehensively calculated. The specific steps are as follows:

[0020]

[0021] in, Indicates the total number of defect points. Indicates The shortest distance between a defect point and the symmetry axis of the narrow side of the strip, Indicates The defect area, Indicates the total area of ​​the filmed strip. Expressing Defective points To sum, Defect impact factor.

[0022] As a preferred technical solution of the present invention, in step A3, interference factors in the image acquisition process of the image acquisition device are obtained, and the interference influence factor is obtained by comprehensive calculation. The specific expression is as follows:

[0023]

[0024] in, Indicates the number of shooting shakes. represents a natural constant, represents the interference factor, Indicates the amount of stains on the strip surface.

[0025] As a preferred technical solution of the present invention, the strip steel production process influencing unit is used to obtain the fluctuation of the process parameters of the current batch of strip steel during the production process, and the specific expression for comprehensively calculating the production process influencing coefficient is as follows:

[0026]

[0027] in, Represents the production process influence coefficient, Indicates the final rolling temperature fluctuation value, Indicates the final rolling temperature fluctuation threshold, Indicates the rolling force fluctuation value, represents the rolling force fluctuation threshold, represents the cooling rate, Indicates the cooling rate threshold.

[0028] As a preferred technical solution of the present invention, the first evaluation module is used to combine the defect influence coefficient and the physical parameters in the strip database to comprehensively calculate the first evaluation coefficient. The specific steps are as follows:

[0029] Step B1: Obtain the strip surface coating damage rate stored in the strip database ;

[0030] Step B2: Comprehensive calculation to obtain the first evaluation coefficient , the specific expression is as follows:

[0031]

[0032] in, represents the defect influence coefficient, represents the first evaluation coefficient, Indicates the damage rate of the coating on the strip surface.

[0033] As a preferred technical solution of the present invention, the second evaluation module is used to combine the production process influence coefficient and the physical parameters in the strip database to comprehensively calculate the second evaluation coefficient. The specific steps are as follows:

[0034] Step C1: Read the thickness of each area of ​​the current batch of strip steel stored in the strip steel database and output the minimum thickness of each area thickness , and calculate the comprehensive thickness evaluation coefficient. The specific expression is as follows:

[0035]

[0036] in, represents the comprehensive thickness evaluation coefficient, Indicates the standard thickness of the strip. Indicates the minimum thickness among the thicknesses of each region. represents a thickness data set, which stores the thickness of each area of ​​the current batch of strip steel obtained by the monitoring device;

[0037] Step C2: Comprehensive calculation to obtain the second evaluation coefficient , the specific expression is as follows:

[0038]

[0039] in, represents the second evaluation coefficient, represents the comprehensive thickness evaluation coefficient, Represents the production process influence coefficient.

[0040] As a preferred technical solution of the present invention, the comprehensive evaluation module is used to combine the first evaluation coefficient and the second evaluation coefficient The comprehensive evaluation coefficient is finally obtained by comprehensive calculation The specific expression is as follows:

[0041]

[0042] in, and They represent two weight coefficients whose sum is 1, represents the first evaluation coefficient, Represents the second evaluation coefficient.

[0043] As a preferred technical solution of the present invention, the comprehensive evaluation module is based on the comprehensive evaluation coefficient The specific steps to determine whether to issue an early warning are as follows:

[0044] Step D1: If the comprehensive evaluation coefficient Does not exceed the comprehensive assessment threshold Execute step D2. If the comprehensive evaluation coefficient Exceeding the comprehensive assessment threshold Execute step D3;

[0045] Step D2: terminating the step, judging the current batch as qualified, and recording it in the comprehensive evaluation module;

[0046] Step D3: Determine that the current batch is unqualified, dispatch staff, and determine the first evaluation coefficient Whether it exceeds the first evaluation threshold , determine the second evaluation coefficient Exceeding the second evaluation threshold , and the first evaluation coefficient of the two that exceeds the corresponding threshold or the second evaluation coefficient Sent to the dispatching staff.

[0047] As a preferred technical solution of the present invention, the comprehensive evaluation module is also used to calculate the daily pass rate, and the specific expression is as follows:

[0048]

[0049] in, Indicates the pass rate for the day, Indicates the total number of productions at that time, Indicates the number of qualified times.

[0050] Compared with the prior art, the present invention provides a strip steel production quality assessment system, which has the following beneficial effects:

[0051] The present invention collects images of defect points on the surface of the steel strip and integrates interference factors to output the defect influence coefficient, obtains the fluctuation of process parameters of the current batch of steel strip in the production process, and comprehensively calculates the production process influence coefficient. The first evaluation coefficient is obtained by comprehensive calculation based on the defect influence coefficient and the physical parameters in the steel strip database. The second evaluation coefficient is obtained by comprehensive calculation based on the production process influence coefficient and the physical parameters in the steel strip database. The comprehensive calculation finally obtains the comprehensive evaluation coefficient, so that the quality grade of the specific production of the current batch of steel strip can be accurately determined. When the quality does not meet the standards, the specific factors causing the problem can be better determined, and the corresponding dispatching staff can perform maintenance. BRIEF DESCRIPTION OF THE DRAWINGS

[0052] Figure 1 Schematic diagram of the system framework of the present invention. DETAILED DESCRIPTION

[0053] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0054] See also Figure 1 , a strip steel production quality assessment system, comprising a strip steel surface defect collection unit, a strip steel production process influence unit, a strip steel physical parameter collection unit, a first assessment module, a second assessment module and a comprehensive assessment module;

[0055] The strip surface defect acquisition unit is used to acquire images of the strip surface defect points and output the defect influence coefficient after integrating the interference factors;

[0056] The strip steel production process influence unit is used to obtain the fluctuation of process parameters of the current batch of strip steel during the production process and comprehensively calculate the production process influence coefficient;

[0057] The strip steel physical parameter acquisition unit is used to acquire the physical parameters of the current batch of strip steel and build a strip steel database;

[0058] The first evaluation module is used to combine the defect influence coefficient and the physical parameters in the strip database to comprehensively calculate the first evaluation coefficient ;

[0059] The second evaluation module is used to combine the production process influence coefficient and the physical parameters in the strip database to comprehensively calculate the second evaluation coefficient ;

[0060] The comprehensive evaluation module is used to combine the first evaluation coefficient and the second evaluation coefficient The comprehensive evaluation coefficient is finally obtained by comprehensive calculation , the comprehensive evaluation module is based on the comprehensive evaluation coefficient Determine whether to issue an early warning.

[0061] The strip surface defect collection unit is used to collect the strip surface defect points and integrate the interference factors to output the defect influence coefficient. The specific steps are as follows:

[0062] Step A1: acquiring image data of the surface of the steel strip acquired by an image acquisition device;

[0063] Step A2: Mark all the defects on the surface of the strip, including the area of ​​each defect and the shortest distance between the defects, and comprehensively calculate the defect impact factor The defect point does not refer to the concept of a macroscopic point, but actually refers to the area where there are defects, such as cracks. The area covered by a crack or other defect phenomena is regarded as a defect point. The shortest distance of the defect point here actually means the distance between the center point of the defect area and the symmetry axis of the strip.

[0064] In step A2, all the defect points on the surface of the strip are marked, including the area of ​​each defect point and the shortest distance of the defect point, and the defect impact factor is comprehensively calculated. The specific steps are as follows:

[0065]

[0066] in, Indicates the total number of defect points. Indicates The shortest distance between a defect point and the symmetry axis of the narrow side of the strip, Indicates The defect area, Indicates the total area of ​​the filmed strip. Expressing Defective points To sum, represents the defect impact factor;

[0067] Step A3: Obtain the interference factors in the image acquisition process of the image acquisition device, and comprehensively calculate the interference influencing factors , where the interference factors include the number of shakes during the shooting process and the number of surface stains, which can be automatically identified by the shooting equipment, or can be obtained by the staff judging whether there is shaking during the shooting process or counting the number of surface stains;

[0068] In step A3, interference factors in the image acquisition process are obtained, and the interference influencing factors are obtained by comprehensive calculation. The specific expression is as follows:

[0069]

[0070] in, Indicates the number of shooting shakes. represents a natural constant, represents the interference factor, Indicates the number of stains on the strip surface. Used to avoid the denominator being 0;

[0071] Step A4: Based on defect impact factor and interference factors Comprehensive calculation to obtain the defect influence coefficient , the specific expression is as follows:

[0072]

[0073] in, represents the defect influence coefficient, represents the defect impact factor, Represents the interference factor.

[0074] The strip steel production process influence unit is used to obtain the fluctuation of process parameters of the current batch of strip steel during the production process, and comprehensively calculate the specific expression of the production process influence coefficient as follows:

[0075]

[0076] in, Represents the production process influence coefficient, Indicates the final rolling temperature fluctuation value, Indicates the final rolling temperature fluctuation threshold, Indicates the rolling force fluctuation value, represents the rolling force fluctuation threshold, represents the cooling rate, Indicates the cooling rate threshold.

[0077] The first evaluation module is used to combine the defect influence coefficient and the physical parameters in the strip database. The first evaluation coefficient usually focuses on geometric defects (such as scratches and pits), while the coating damage rate directly reflects the anti-corrosion performance. The combination of the two can simultaneously evaluate the mechanical integrity and functional protection capabilities, and the first evaluation coefficient is obtained by comprehensive calculation. The specific steps are as follows:

[0078] Step B1: Obtain the strip surface coating damage rate stored in the strip database ;

[0079] Step B2: Comprehensive calculation to obtain the first evaluation coefficient , the specific expression is as follows:

[0080]

[0081] in, represents the defect influence coefficient, represents the first evaluation coefficient, Indicates the damage rate of the coating on the strip surface.

[0082] The second evaluation module is used to combine the production process influence coefficient and the physical parameters in the strip database to comprehensively calculate the second evaluation coefficient The specific steps are as follows:

[0083] Step C1: Read the thickness of each area of ​​the current batch of strip steel stored in the strip steel database and output the minimum thickness of each area thickness , and calculate the comprehensive thickness evaluation coefficient. The specific expression is as follows:

[0084]

[0085] in, represents the comprehensive thickness evaluation coefficient, Indicates the standard thickness of the strip. Indicates the minimum thickness among the thicknesses of each region. represents a thickness data set, which stores the thickness of each area of ​​the current batch of strip steel obtained by the monitoring device;

[0086] Step C2: Comprehensive calculation to obtain the second evaluation coefficient , the specific expression is as follows:

[0087]

[0088] in, represents the second evaluation coefficient, represents the comprehensive thickness evaluation coefficient, Represents the production process influence coefficient.

[0089] The comprehensive evaluation module is used to combine the first evaluation coefficient and the second evaluation coefficient The comprehensive evaluation coefficient is finally obtained by comprehensive calculation The specific expression is as follows:

[0090]

[0091] in, and They represent two weight coefficients whose sum is 1, represents the first evaluation coefficient, Represents the second evaluation coefficient.

[0092] Comprehensive evaluation module based on comprehensive evaluation coefficient The specific steps to determine whether to issue an early warning are as follows:

[0093] Step D1: If the comprehensive evaluation coefficient Does not exceed the comprehensive assessment threshold Execute step D2. If the comprehensive evaluation coefficient Exceeding the comprehensive assessment threshold Execute step D3;

[0094] Step D2: terminating the step, judging the current batch as qualified, and recording it in the comprehensive evaluation module;

[0095] Step D3: Determine that the current batch is unqualified, dispatch staff, and determine the first evaluation coefficient Whether it exceeds the first evaluation threshold , determine the second evaluation coefficient Exceeding the second evaluation threshold , and the first evaluation coefficient of the two that exceeds the corresponding threshold or the second evaluation coefficient Sent to the dispatching staff.

[0096] The comprehensive evaluation module is also used to calculate the daily pass rate. The specific expression is as follows:

[0097]

[0098] in, Indicates the pass rate for the day, Indicates the total number of productions at that time, Indicates the number of qualified times.

[0099] Example:

[0100] The defect points and corresponding areas of the image data of the strip surface acquired by the image acquisition device in this implementation process, as well as the interference factors in the acquisition process of the image acquisition device are shown in Table 1 below;

[0101] Table 1

[0102] parameter Numeric #timg# 3.52 #timg# 1.58 #timg# 3 #timg# 13 #timg# 260 #timg# 2 #timg# 0

[0103] At this time, the calculation , =0.08, and the defect influence coefficient is calculated ;

[0104] The data collected by the strip production process influence unit are shown in Table 2 below;

[0105] Table 2

[0106] parameter Numeric #timg# 0.17 #timg# 0.26 #timg# 0.17 #timg# 0.15 #timg# 0.25 #timg# 0.12

[0107] At this time, the calculation ;

[0108] The first evaluation module obtains the strip surface coating damage rate stored in the strip database , ;

[0109] The sampling thickness of the strip steel in this embodiment is shown in Table 3 below:

[0110] Table 3

[0111] area thickness A 2.05 B 1.98 C 2.00 D 2.02 E 1.95 #timg# 2.00

[0112] at this time , ;

[0113] At this time, the second evaluation coefficient is calculated , in this embodiment =0.45 and =0.55, 5>Comprehensive evaluation threshold , at this time, the current batch is judged to be unqualified, and the staff is dispatched, and the first evaluation coefficient The first evaluation threshold is not exceeded =0.15, the second evaluation coefficient Exceeding the second evaluation threshold =1, in this case, the output abnormal factor is the impact of the production process, so that the quality level of the current batch of strip steel can be accurately determined, and the specific factors causing the problem can be better determined when the quality does not meet the standard;

[0114] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A strip steel production quality assessment system, characterized in that: It includes a strip steel surface defect collection unit, a strip steel production process influence unit, a strip steel physical parameter collection unit, a first evaluation module, a second evaluation module and a comprehensive evaluation module; The strip surface defect acquisition unit is used to acquire images of the strip surface defect points and output the defect influence coefficient after integrating the interference factors; The strip steel production process influence unit is used to obtain the fluctuation of process parameters of the current batch of strip steel during the production process and comprehensively calculate the production process influence coefficient; The strip steel physical parameter acquisition unit is used to acquire the physical parameters of the current batch of strip steel and build a strip steel database; The first evaluation module is used to combine the defect influence coefficient and the physical parameters in the strip database to comprehensively calculate the first evaluation coefficient ; The second evaluation module is used to combine the production process influence coefficient and the physical parameters in the strip database to comprehensively calculate the second evaluation coefficient. ; The comprehensive evaluation module is used to combine the first evaluation coefficient and the second evaluation coefficient The comprehensive evaluation coefficient is finally obtained by comprehensive calculation The comprehensive evaluation module is based on the comprehensive evaluation coefficient Determine whether to issue an early warning.

2. A strip steel production quality assessment system according to claim 1, characterized in that: The specific steps of the strip surface defect collection unit for collecting the strip surface defect points and outputting the defect influence coefficient after integrating the interference factors are as follows: Step A1: acquiring image data of the surface of the steel strip acquired by an image acquisition device; Step A2: Mark all the defects on the surface of the strip, including the area of ​​each defect and the shortest distance between the defects, and comprehensively calculate the defect impact factor ; Step A3: Obtain the interference factors in the image acquisition process of the image acquisition device, and comprehensively calculate the interference influencing factors ; Step A4: Based on defect impact factor and interference factors Comprehensive calculation to obtain the defect influence coefficient , the specific expression is as follows: in, represents the defect influence coefficient, represents the defect impact factor, Represents the interference factor.

3. A strip steel production quality assessment system according to claim 2, characterized in that: In step A2, all the defect points on the surface of the strip are marked, including the area of ​​each defect point and the shortest distance of the defect point, and the defect impact factor is comprehensively calculated. The specific steps are as follows: in, Indicates the total number of defect points. Indicates The shortest distance between a defect point and the symmetry axis of the narrow side of the strip, Indicates The defect area, Indicates the total area of ​​the filmed strip. Expressing Defective points To sum, Defect impact factor.

4. A strip steel production quality assessment system according to claim 3, characterized in that: In step A3, interference factors in the image acquisition process of the image acquisition device are obtained, and the interference influence factor is obtained by comprehensive calculation. The specific expression is as follows: in, Indicates the number of shooting shakes. represents a natural constant, represents the interference factor, Indicates the amount of stains on the strip surface.

5. A strip steel production quality assessment system according to claim 4, characterized in that: The strip steel production process influence unit is used to obtain the fluctuation of process parameters of the current batch of strip steel during the production process, and comprehensively calculate the specific expression of the production process influence coefficient as follows: in, Represents the production process influence coefficient, Indicates the final rolling temperature fluctuation value, Indicates the final rolling temperature fluctuation threshold, Indicates the rolling force fluctuation value, represents the rolling force fluctuation threshold, represents the cooling rate, Indicates the cooling rate threshold.

6. A strip steel production quality assessment system according to claim 5, characterized in that: The first evaluation module is used to combine the defect influence coefficient and the physical parameters in the strip database to comprehensively calculate the first evaluation coefficient The specific steps are as follows: Step B1: Obtain the strip surface coating damage rate stored in the strip database ; Step B2: Comprehensive calculation to obtain the first evaluation coefficient , the specific expression is as follows: in, represents the defect influence coefficient, represents the first evaluation coefficient, Indicates the damage rate of the coating on the strip surface.

7. A strip steel production quality assessment system according to claim 6, characterized in that: The second evaluation module is used to combine the production process influence coefficient and the physical parameters in the strip database to comprehensively calculate the second evaluation coefficient. The specific steps are as follows: Step C1: Read the thickness of each area of ​​the current batch of strip steel stored in the strip steel database and output the minimum thickness of each area thickness , and calculate the comprehensive thickness evaluation coefficient. The specific expression is as follows: in, represents the comprehensive thickness evaluation coefficient, Indicates the standard thickness of the strip. Indicates the minimum thickness among the thicknesses of each region. represents a thickness data set, which stores the thickness of each area of ​​the current batch of strip steel obtained by the monitoring device; Step C2: Comprehensive calculation to obtain the second evaluation coefficient , the specific expression is as follows: in, represents the second evaluation coefficient, represents the comprehensive thickness evaluation coefficient, Represents the production process influence coefficient.

8. The strip steel production quality assessment system according to claim 1, characterized in that: The comprehensive evaluation module is used to combine the first evaluation coefficient and the second evaluation coefficient The comprehensive evaluation coefficient is finally obtained by comprehensive calculation The specific expression is as follows: in, and They represent two weight coefficients whose sum is 1, represents the first evaluation coefficient, Represents the second evaluation coefficient.

9. A strip steel production quality assessment system according to claim 1, characterized in that: The comprehensive evaluation module is based on the comprehensive evaluation coefficient The specific steps to determine whether to issue an early warning are as follows: Step D1: If the comprehensive evaluation coefficient Does not exceed the comprehensive assessment threshold Execute step D2. If the comprehensive evaluation coefficient Exceeding the comprehensive assessment threshold Execute step D3; Step D2: terminating the step, judging the current batch as qualified, and recording it in the comprehensive evaluation module; Step D3: Determine that the current batch is unqualified, dispatch staff, and determine the first evaluation coefficient Whether it exceeds the first evaluation threshold , determine the second evaluation coefficient Exceeding the second evaluation threshold , and the first evaluation coefficient of the two that exceeds the corresponding threshold or the second evaluation coefficient Sent to the dispatching staff.

10. A strip steel production quality assessment system according to claim 9, characterized in that: The comprehensive evaluation module is also used to calculate the daily pass rate, and the specific expression is as follows: in, Indicates the pass rate for the day, Indicates the total number of productions at that time, Indicates the number of qualified times.

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