Strip steel quality detection system and method

By designing a strip quality inspection system, the performance and chemical composition of steel are comprehensively detected, and the problem that the existing technology cannot fully detect steel quality is solved, the detection accuracy is improved, the appearance of defective products is reduced, the normal production is ensured, and the processing technology is improved.

CN119804110APending Publication Date: 2025-04-11CHANGSHU EVERBRIGHT MATERIAL TECH CO LTD
View PDF 1 Cites 0 Cited by

Patent Information

Application Number
CN202411877511.1
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-12-19
Publication Date
2025-04-11

AI Technical Summary

Technical Problem

The existing strip quality inspection technology can only detect the appearance defects of the steel, and cannot comprehensively detect the performance and chemical composition of the steel, resulting in the failure to detect defective products in a timely manner, resulting in production losses, and the reasons for the defective products cannot be analyzed to improve processing technology.

Method used

A strip steel quality inspection system is designed, including a central control module, sampling module, detection module, defective product analysis module and judgment module. By conducting performance and composition testing of the test samples, unqualified products are counted, the pass rate is calculated, and the reasons for the occurrence of defective products are analyzed.

Benefits of technology

It improves the accuracy of steel inspection, reduces the occurrence of defective products, ensures the normal production, and improves processing technology by analyzing the causes of defective products.

✦ Generated by Eureka AI based on patent content.

Smart Images

  • Figure CN119804110A_ABST
    Figure CN119804110A_ABST
Patent Text Reader

Abstract

The invention discloses a strip steel quality detection system and method, and belongs to the technical field of strip steel quality detection.The strip steel quality detection system comprises a central control module, a sampling module, a detection module, a defective product analysis module and a judgment module; the central control module is connected with the sampling module, the detection module, the defective product analysis module and the judgment module; and the detection module is connected with the defective product analysis module and the judgment module. By means of the mode, the performance and chemical components of the steel are detected, the accuracy of steel detection is improved, defective products are reduced, multiple test samples are sampled for detection, the accuracy of the detection result is effectively improved, and normal production is guaranteed; according to the method, the reasons of the defective products can be analyzed according to the performance and chemical components of the defective steel products, so that the steel processing technology is improved.
Need to check novelty before this filing date? Find Prior Art

Description

Technical Field

[0001] The present invention relates to the technical field of strip steel quality detection, and in particular to a strip steel quality detection system and method. Background Art

[0002] With the advancement of technology and the intensification of market competition, domestic steel mills have worked hard on product quality to meet customers' stringent quality requirements, especially home appliance board products have put forward higher requirements on board surface quality. Each steel mill has established a complete quality management system and conducts comprehensive inspections on finished products, including appearance quality, mechanical properties, chemical composition, etc., to ensure that the products meet relevant standard requirements.

[0003] For example, Chinese patent CN205430414U discloses an image acquisition device for a strip steel surface quality detection system, including an industrial camera, a convex lens and a camera frame, wherein the industrial camera is arranged on the camera frame, and the convex lens is correspondingly arranged on the camera frame between the industrial camera and the strip steel.

[0004] The device can identify small defects through the image processing system; however, the technology only detects the appearance of steel through image recognition, and does not detect the performance and chemical composition of steel, which will result in some defective steel products not being detected and flowing into the next process, ultimately resulting in the production of defective products after the next process is put into use and downgrading, causing significant losses;

[0005] Furthermore, the above technology cannot analyze the causes of defective products, and cannot improve the processing technology based on the causes of defective products.

[0006] Based on this, the present invention designs a strip steel quality detection system and method to solve the above problems. Summary of the invention

[0007] In view of the above-mentioned shortcomings of the prior art, the present invention provides a strip steel quality detection system and method.

[0008] To achieve the above objectives, the present invention is implemented through the following technical solutions:

[0009] A strip steel quality detection system, comprising a central control module, a sampling module, a detection module, a defective product analysis module and a judgment module;

[0010] The central control module is connected to the sampling module, the detection module, the defective product analysis module, and the judgment module; the detection module is connected to the defective product analysis module and the judgment module;

[0011] A sampling module, used for receiving control instructions from the central control module to sample N test samples from a batch of strip steel and place them in the detection module;

[0012] The detection module is used to receive the control instruction of the central control module to perform performance and composition detection on the test sample, and the central control module is connected with the detection module;

[0013] The detection module includes a performance detection unit, a component detection unit, a first unqualified product counting unit, a second unqualified product counting unit, a counting unit, a qualified rate calculation unit and a total qualified rate calculation unit;

[0014] The performance detection unit is used to receive the control instruction of the central control module to detect the tensile strength of the two ends and the middle of the test sample, and output the detection results of the tensile strength of the two ends and the middle;

[0015] If the tensile strength of the two ends or the middle of the test sample detected by the performance detection unit is unqualified, the unqualified product counting unit receives the test result of the unqualified tensile strength products of the performance detection unit and counts the unqualified tensile strength products; the component detection unit performs component detection on the test sample:

[0016] If the component detection unit detects that the component is unqualified, the test sample is determined to be unqualified, and the unqualified product counting unit 2 counts the unqualified components;

[0017] If the component detection unit detects that the component is qualified, it is sent to the counting unit for counting;

[0018] If the tensile strength of the two ends and the middle of the test sample detected by the performance testing unit are both qualified, the component testing unit will perform component testing on the test sample;

[0019] The component detection unit is used to receive the control instruction of the central control module to detect the proportion of characteristic elements in the composition of the test sample, and output the detection result of whether the proportion of the characteristic elements is qualified;

[0020] If the proportion of the characteristic elements in the components detected by the component detection unit is unqualified, the test sample is determined to be unqualified, and the unqualified product counting unit 2 receives the test result of the proportion of the characteristic elements of the component detection unit and counts the unqualified products. The unqualified product counting unit 2 sends the test number to the counting unit for counting;

[0021] If the proportion of characteristic elements in the component detected by the component detection unit is qualified, it is directly sent to the counting unit, and the counting unit is used to count and determine whether the number of tests of the current test sample is equal to N;

[0022] If the number of samples currently tested is equal to N, it is sent to the judgment module, which determines whether it is the first test of the batch;

[0023] If it is the first test of the batch, the pass rate calculation unit calculates the pass rate of the test samples of the batch and determines whether the pass rate is between 95% and 100%;

[0024] If it is between 95% and 100%, the qualified rate calculation unit determines that the batch of samples is qualified;

[0025] If it is not between 95% and 100%, the qualified rate calculation unit continues to determine whether the qualified rate of the batch of samples is 90% or above;

[0026] If the qualified sample rate is 90% or above, the qualified rate calculation unit sends the data information to the central control module, and the central control module controls the sampling module to continue sampling N test samples from the batch of strip steel and enter the performance detection unit for detection;

[0027] If the qualified sample rate is below 90%, the qualified rate calculation unit determines that the batch of samples is unqualified;

[0028] If the test sample is not tested for the first time, the total qualified rate calculation unit calculates the total qualified rate of the test samples of the batch, and determines whether the total qualified rate of the test samples of the batch is between 95% and 100%;

[0029] If it is between 95% and 100%, the total qualified rate calculation unit determines that the batch of samples is qualified;

[0030] If it is not between 95% and 100%, the total qualified rate calculation unit determines that the batch of samples is unqualified;

[0031] The defective product analysis module is used to receive the judgment results of the qualified rate calculation unit and the total qualified rate calculation unit, and when the qualified rate calculation unit and the total qualified rate calculation unit judge the batch as unqualified, receive the counting results of the unqualified product counting unit 1 and the unqualified product counting unit 2, and analyze the reasons for the generation of defective products;

[0032] The judgment module is connected to the first unqualified product counting unit, the second unqualified product counting unit, the qualified rate calculation unit, and the total qualified rate calculation unit;

[0033] The number of unqualified tensile strength in the unqualified product counting unit 1 received by the defective product analysis module is X; the number of unqualified sulfur content ratio in the unqualified product counting unit 2 received by the defective product analysis module is Y, and the total number of tests for this batch is W;

[0034] like The defective product analysis module determines that the processed raw materials are not mixed evenly and the temperature is uneven;

[0035] like The defective product analysis module determines that the sulfur content in the raw materials exceeds the standard;

[0036] Furthermore, N ≥ 20.

[0037] Furthermore, firstly, the performance testing unit tests whether the tensile strength of both ends of the test sample is qualified;

[0038] If the tensile strength at both ends is unqualified, the test sample is judged to be unqualified;

[0039] If the tensile strength at both ends is qualified, the performance testing unit will test whether the tensile strength in the middle of the test sample is qualified;

[0040] If the tensile strength of the middle part fails to meet the requirements, the test sample is deemed to be unqualified;

[0041] If the tensile strength in the middle is qualified, the test sample is judged to be qualified.

[0042] Furthermore, the method for judging the tensile strength of the performance detection unit is as follows:

[0043] The performance detection unit sets the tensile strength threshold value as Q, and the tensile strength of the test sample detected by the performance detection unit is a;

[0044] If a≥Q, the tensile strength of the test sample is judged to be qualified;

[0045] If a<Q, it is judged that the tensile strength of the test sample is unqualified, and the test sample is judged to be unqualified.

[0046] Furthermore, preferably, the characteristic element is sulfur.

[0047] Furthermore, preferably, the method for determining whether the sulfur content is qualified is:

[0048] The component detection unit sets the sulfur component ratio threshold range to (b1, b2), and the component detection unit detects the sulfur component ratio to be b;

[0049] If b1≤b≤b2, the sulfur content is considered qualified;

[0050] If b is not between (b1, b2), it is determined that the sulfur content ratio is unqualified and the test sample is unqualified.

[0051] Furthermore, the component detection unit is a chemical component detector.

[0052] Furthermore, W takes the value N or 2N;

[0053] Furthermore, if the judgment module determines that it is the first detection, W takes the value N;

[0054] If the judgment module determines that it is the second detection, W takes the value 2N;

[0055] In order to better achieve the purpose of the present invention, the present invention also provides a strip quality detection method, comprising the following steps:

[0056] Step 1: The sampling module samples N test samples from a batch of strip steel, and sends the sampling completion data information to the central control module, and the central control module controls the detection module to start;

[0057] Step 2: First, the performance testing unit tests whether the tensile strength of both ends of the test sample is qualified;

[0058] If the tensile strength at both ends is unqualified, the test sample is determined to be unqualified, and the unqualified product counting unit 1 counts the unqualified products, and the process proceeds to step 3;

[0059] If the tensile strength at both ends is qualified, the performance testing unit will test whether the tensile strength in the middle of the test sample is qualified;

[0060] If the tensile strength of the middle part is unqualified, the test sample is determined to be unqualified, and the unqualified product counting unit 1 counts the unqualified products, and the process goes to step 3;

[0061] If the tensile strength of the middle part is qualified, proceed to step 3;

[0062] Step 3: The component detection unit detects whether the sulfur content of the test sample is qualified;

[0063] If the sulfur content is unqualified, the test sample is determined to be unqualified, and the unqualified product counting unit 2 counts the unqualified products, and then proceeds to step 4;

[0064] If the sulfur content is qualified, proceed to step 4;

[0065] Step 4: The counting unit determines whether the number of test samples in the current batch is N;

[0066] If it is N, go to step 5;

[0067] If it is not N, go back to step 2;

[0068] Step 5: The judgment module judges whether the test sample is tested for the first time;

[0069] If it is the first detection, go to step 6;

[0070] If it is not the first detection, proceed to step 7;

[0071] Step 6: The qualified rate calculation unit calculates the qualified rate of the current batch and determines whether the qualified sample rate is between 95% and 100%;

[0072] If it is between 95% and 100%, the qualified rate calculation unit determines that the batch of samples is qualified;

[0073] If it is not between 95% and 100%, the qualified rate calculation unit continues to determine whether the qualified rate of the batch of samples is 90% or above;

[0074] If the qualified sample rate is 90% or above, the qualified rate calculation unit sends the data information to the central control module and returns to step 1;

[0075] If the qualified sample rate is below 90%, the qualified rate calculation unit determines that the batch of samples is unqualified;

[0076] Step 7: The total qualified rate calculation unit calculates the total qualified rate of the batch of test samples, and determines whether the total qualified rate of the batch of test samples is between 95% and 100%;

[0077] If it is between 95% and 100%, the total qualified rate calculation unit determines that the batch of samples is qualified;

[0078] If it is not between 95% and 100%, the total qualified rate calculation unit determines that the batch of samples is unqualified;

[0079] Step 8: After the batch inspection is completed, the defective product analysis module receives the judgment results from the pass rate calculation unit and the total pass rate calculation unit, and when the pass rate calculation unit and the total pass rate calculation unit judge the batch as unqualified, it receives the counting results from the unqualified product counting unit 1 and the unqualified product counting unit 2 to analyze the causes of the defective products.

[0080] Compared with the prior art, the present invention has the following beneficial effects: the present invention improves the accuracy of steel testing and reduces the occurrence of defective products by testing the performance and chemical composition of steel, and effectively improves the accuracy of the test results by sampling multiple test samples for testing, thereby ensuring the normal production;

[0081] The present invention can analyze the causes of defective steel products according to their performance and chemical composition, thereby improving the processing technology. BRIEF DESCRIPTION OF THE DRAWINGS

[0082] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the prior art descriptions are briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention, and for ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0083] Figure 1 A connection frame of a strip steel quality detection system of the present invention Figure 1 ;

[0084] Figure 2 A connection frame of a strip steel quality detection system of the present invention Figure 2 ;

[0085] Figure 3 The present invention is a flow chart of a strip steel quality detection method.

[0086] The numbers in the figure represent:

[0087] 1. Central control module; 2. Sampling module; 3. Detection module; 31. Performance detection unit; 32. Component detection unit; 33. Defective product counting unit 1; 34. Defective product counting unit 2; 35. Counting unit; 36. Qualified product rate calculation unit; 37. Total qualified product rate calculation unit; 4. Defective product analysis module; 5. Judgment module. DETAILED DESCRIPTION

[0088] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are 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.

[0089] Embodiment 1: In some embodiments, please refer to the drawings of the specification Figure 1-Figure 3 , a strip steel quality detection system, comprising a central control module 1, a sampling module 2, a detection module 3, a defective product analysis module 4 and a judgment module 5;

[0090] The central control module 1 is connected to the sampling module 2, the detection module 3, the defective product analysis module 4, and the judgment module 5; the detection module 3 is connected to the defective product analysis module 4 and the judgment module 5;

[0091] The sampling module 2 is used to receive the control instruction of the central control module 1 to sample N test samples from a batch of strip steel and place them in the detection module 3;

[0092] Preferably, N≥20.

[0093] The detection module 3 is used to receive the control instruction of the central control module 1 to perform performance and component detection on the test sample. The central control module 1 is connected to the detection module 3;

[0094] The detection module 3 includes a performance detection unit 31, a component detection unit 32, a defective product counting unit 1 33, a defective product counting unit 2 34, a counting unit 35, a pass rate calculation unit 36 ​​and a total pass rate calculation unit 37;

[0095] The performance detection unit 31 is used to receive the control instruction of the central control module 1 to detect the tensile strength of the two ends and the middle of the test sample, and output the detection results of the tensile strength of the two ends and the middle;

[0096] If the tensile strength of the two ends or the middle of the test sample detected by the performance detection unit 31 is unqualified, the unqualified product counting unit 1 33 receives the test result of the unqualified tensile strength of the performance detection unit 31 and counts the unqualified tensile strength products; the component detection unit 32 performs component detection on the test sample:

[0097] If the component detection unit 32 detects that the component is unqualified, the test sample is determined to be unqualified, and the unqualified product counting unit 2 34 counts the unqualified components;

[0098] If the component detection unit 32 detects that the component is qualified, it is sent to the counting unit 35 for counting;

[0099] If the tensile strength of the two ends and the middle of the test sample detected by the performance detection unit 31 is qualified, the component detection unit 32 performs component detection on the test sample;

[0100] Preferably, first, the performance detection unit 31 detects whether the tensile strength of both ends of the test sample is qualified;

[0101] If the tensile strength at both ends is unqualified, the test sample is judged to be unqualified;

[0102] If the tensile strength at both ends is qualified, the performance detection unit 31 detects whether the tensile strength at the middle of the test sample is qualified;

[0103] If the tensile strength of the middle part fails to meet the requirements, the test sample is deemed to be unqualified;

[0104] If the tensile strength of the middle part is qualified, the test sample is judged to be qualified;

[0105] Preferably, the method for determining the tensile strength of the performance detection unit 31 is:

[0106] The performance detection unit 31 sets the tensile strength threshold value as Q, and the tensile strength of the test sample detected by the performance detection unit 31 is a;

[0107] If a≥Q, the tensile strength of the test sample is judged to be qualified;

[0108] If a<Q, it is judged that the tensile strength of the test sample is unqualified, and the test sample is judged to be unqualified.

[0109] The component detection unit 32 is used to receive the control instruction of the central control module 1 to detect the proportion of characteristic elements in the composition of the test sample, and output the detection result of whether the proportion of the characteristic elements is qualified;

[0110] Preferably, the characteristic element is sulfur.

[0111] Preferably, the method for determining whether the sulfur content is qualified is:

[0112] The component detection unit 32 sets the sulfur component ratio threshold range to (b1, b2), and the component detection unit 32 detects the sulfur component ratio to be b;

[0113] If b1≤b≤b2, the sulfur content is considered qualified;

[0114] If b is not between (b1, b2), it is determined that the sulfur content ratio is unqualified and the test sample is unqualified.

[0115] Preferably, the component detection unit 32 is a chemical component detector.

[0116] If the proportion of the characteristic elements in the components detected by the component detection unit 32 is unqualified, the test sample is determined to be unqualified, and the unqualified product counting unit 2 34 receives the test result of the proportion of the characteristic elements of the component detection unit 32 and counts the unqualified products. The unqualified product counting unit 2 34 sends the test number to the counting unit 35 for counting;

[0117] If the component detection unit 32 detects that the proportion of characteristic elements in the component is qualified, it is sent to the counting unit 35, and the counting unit 35 is used to count and determine whether the number of tests of the current test sample is equal to N. The component detection unit 32 and the unqualified product counting unit 2 34 are both connected to the counting unit 35;

[0118] If the number of samples currently tested is equal to N, it is sent to the judgment module 5, which determines whether it is the first test of the batch;

[0119] If it is the first test of the batch, the pass rate calculation unit 36 ​​calculates the pass rate of the test samples of the batch and determines whether the pass rate is between 95% and 100%;

[0120] If it is between 95% and 100%, the qualified rate calculation unit 36 ​​determines that the batch of samples is qualified;

[0121] If it is not between 95% and 100%, the qualified rate calculation unit 36 ​​continues to determine whether the qualified rate of the batch of samples is 90% or above;

[0122] If the qualified sample rate is 90% or above, the qualified rate calculation unit 36 ​​sends the data information to the central control module 1, and the central control module 1 controls the sampling module 2 to continue sampling N test samples from the batch of strip steel and enter the performance detection unit 31 for detection;

[0123] If the qualified sample rate is below 90%, the qualified rate calculation unit 36 ​​determines that the batch of samples is unqualified;

[0124] If the test sample is not tested for the first time, the total qualified rate calculation unit 37 calculates the total qualified rate of the test samples of the batch, and determines whether the total qualified rate of the test samples of the batch is between 95% and 100%;

[0125] If it is between 95% and 100%, the total qualified rate calculation unit 37 determines that the batch of samples is qualified;

[0126] If it is not between 95% and 100%, the total qualified rate calculation unit 37 determines that the batch of samples is unqualified;

[0127] The defective product analysis module 4 is used to receive the judgment results of the qualified rate calculation unit 36 ​​and the total qualified rate calculation unit 37, and when the qualified rate calculation unit 36 ​​and the total qualified rate calculation unit 37 judge the batch as unqualified, receive the counting results of the unqualified product counting unit 1 33 and the unqualified product counting unit 2 34, and analyze the reasons for the generation of defective products; the judgment module 5 is connected to the unqualified product counting unit 1 33, the unqualified product counting unit 2 34, the qualified rate calculation unit 36, and the total qualified rate calculation unit 37;

[0128] The number of unqualified tensile strength in the unqualified product counting unit 1 33 received by the defective product analysis module 4 is X; the number of unqualified sulfur content ratio in the unqualified product counting unit 2 34 received by the defective product analysis module 4 is Y, and the total number of tests in this batch is W;

[0129] like The defective product analysis module 4 determines that the processed raw materials are not stirred evenly and the temperature is uneven;

[0130] like Then the defective product analysis module 4 determines that the sulfur content in the raw material exceeds the standard;

[0131] Preferably, W takes the value of N or 2N.

[0132] Preferably, if the judgment module 5 judges that it is the first detection, W takes the value N;

[0133] If the determination module 5 determines that it is the second detection, W takes the value 2N.

[0134] The present invention detects the performance and chemical composition of steel through the performance detection unit 31 and the component detection unit 32, thereby improving the accuracy of steel detection and reducing the occurrence of defective products. In addition, the sampling module 2 samples multiple test samples for detection, thereby effectively improving the accuracy of the detection results and ensuring the normal production.

[0135] The present invention can analyze the performance and chemical composition of defective steel materials according to the defective product analysis module 4, summarize the causes of defective products, and thus improve the processing technology.

[0136] Embodiment 2: In some embodiments, Figure 3 As shown, as a preferred embodiment of the present invention, the present invention also provides a strip steel quality detection method, comprising the following steps:

[0137] Step 1: The sampling module 2 samples N test samples from a batch of strip steel, and sends the sampling completion data information to the central control module 1, and the central control module 1 controls the detection module 3 to start;

[0138] Step 2: First, the performance testing unit 31 tests whether the tensile strength of both ends of the test sample is qualified;

[0139] If the tensile strength at both ends is unqualified, the test sample is determined to be unqualified, and the unqualified product counting unit 1 33 counts the unqualified products, and the process proceeds to step 3;

[0140] If the tensile strength at both ends is qualified, the performance detection unit 31 detects whether the tensile strength at the middle of the test sample is qualified;

[0141] If the tensile strength of the middle part is unqualified, the test sample is determined to be unqualified, and the unqualified product counting unit 1 33 counts the unqualified products, and the process goes to step 3;

[0142] If the tensile strength of the middle part is qualified, proceed to step 3;

[0143] Step 3: The component detection unit 32 detects whether the sulfur component ratio of the test sample is qualified;

[0144] If the sulfur content is unqualified, the test sample is determined to be unqualified, and the unqualified product counting unit 2 34 counts the unqualified products, and then proceeds to step 4;

[0145] If the sulfur content is qualified, proceed to step 4;

[0146] Step 4: The counting unit 35 determines whether the number of test samples in the current batch is N;

[0147] If it is N, go to step 5;

[0148] If it is not N, go back to step 2;

[0149] Step 5: The judgment module 5 judges whether the test sample is tested for the first time;

[0150] If it is the first detection, go to step 6;

[0151] If it is not the first detection, proceed to step seven;

[0152] Step 6: The qualified rate calculation unit 36 ​​calculates the qualified rate of the current batch and determines whether the qualified sample rate is between 95% and 100%;

[0153] If it is between 95% and 100%, the qualified rate calculation unit 36 ​​determines that the batch of samples is qualified;

[0154] If it is not between 95% and 100%, the qualified rate calculation unit 36 ​​continues to determine whether the qualified rate of the batch of samples is 90% or above;

[0155] If the qualified sample rate is 90% or above, the qualified rate calculation unit 36 ​​sends the data information to the central control module 1 and returns to step 1;

[0156] If the qualified sample rate is below 90%, the qualified rate calculation unit 36 ​​determines that the batch of samples is unqualified;

[0157] Step 7: The total qualified rate calculation unit 37 calculates the total qualified rate of the batch of test samples, and determines whether the total qualified rate of the batch of test samples is between 95% and 100%;

[0158] If it is between 95% and 100%, the total qualified rate calculation unit 37 determines that the batch of samples is qualified;

[0159] If it is not between 95% and 100%, the total qualified rate calculation unit 37 determines that the batch of samples is unqualified;

[0160] Step 8: After the batch inspection is completed, the defective product analysis module 4 receives the judgment results from the pass rate calculation unit 36 ​​and the total pass rate calculation unit 37, and when the pass rate calculation unit 36 ​​and the total pass rate calculation unit 37 judge the batch as unqualified, it receives the counting results from the unqualified product counting unit 1 33 and the unqualified product counting unit 2 34 to analyze the causes of the defective products.

[0161] The above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit the same. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features may be replaced by equivalents. Such modifications or replacements will not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A strip steel quality detection system, comprising a central control module (1), characterized in that: It also includes a sampling module (2), a detection module (3), a defective product analysis module (4) and a judgment module (5); The central control module (1) is connected to the sampling module (2), the detection module (3), the defective product analysis module (4), and the judgment module (5); the detection module (3) is connected to the defective product analysis module (4) and the judgment module (5); A sampling module (2) is used to receive a control instruction from the central control module (1) to sample N test samples from a batch of steel strips and place them in a detection module (3); A detection module (3) is used to receive control instructions from the central control module (1) to perform performance and component detection on the test sample, and the central control module (1) is connected to the detection module (3); The detection module (3) comprises a performance detection unit (31), a component detection unit (32), a first unqualified product counting unit (33), a second unqualified product counting unit (34), a counting unit (35), a qualified rate calculation unit (36) and a total qualified rate calculation unit (37); A performance detection unit (31) is used to receive control instructions from the central control module (1) to detect the tensile strength of the two ends and the middle of the test sample, and output the detection results of the tensile strength of the two ends and the middle; If the tensile strength of the two ends or the middle of the test sample detected by the performance detection unit (31) is unqualified, the unqualified product counting unit 1 (33) receives the test result of the tensile strength unqualified products of the performance detection unit (31) and counts the unqualified tensile strength products; the component detection unit (32) performs component detection on the test sample: If the component detection unit (32) detects that the component is unqualified, the test sample is determined to be unqualified, and the unqualified product counting unit 2 (34) counts the unqualified components; If the component detection unit (32) detects that the component is qualified, it is sent to the counting unit (35) for counting; If the tensile strength of the two ends and the middle of the test sample detected by the performance detection unit (31) is qualified, the component detection unit (32) performs component detection on the test sample; A component detection unit (32) is used to receive a control instruction from the central control module (1) to detect the proportion of characteristic elements in the components of the test sample, and output a detection result indicating whether the proportion of the characteristic elements is qualified; If the proportion of characteristic elements in the components detected by the component detection unit (32) is unqualified, the test sample is determined to be unqualified, and the unqualified product counting unit 2 (34) receives the test result of the unqualified product proportion of characteristic elements from the component detection unit (32) and counts the unqualified products. The unqualified product counting unit 2 (34) sends the number of tests to the counting unit (35) for counting; If the proportion of the characteristic elements in the components detected by the component detection unit (32) is qualified, it is directly sent to the counting unit (35), and the counting unit (35) is used to count and determine whether the number of tests of the current test sample is equal to N; If the number of samples currently being tested is equal to N, it is sent to the judgment module (5), and the judgment module (5) determines whether it is the first test of the batch; If it is the first test of the batch, the qualified rate calculation unit (36) calculates the qualified rate of the test samples of the batch and determines whether the qualified rate is between 95% and 100%; If it is between 95% and 100%, the qualified rate calculation unit (36) determines that the batch of samples is qualified; If it is not between 95% and 100%, the qualified rate calculation unit (36) continues to determine whether the qualified rate of the batch of samples is 90% or above; If the qualified sample rate is 90% or above, the qualified rate calculation unit (36) sends the data information to the central control module (1), and the central control module (1) controls the sampling module (2) to continue sampling N test samples from the batch of strip steel and enter the performance detection unit (31) for detection; If the qualified sample rate is below 90%, the qualified rate calculation unit (36) determines that the batch of samples is unqualified; If the test sample is not tested for the first time, the total qualified rate calculation unit (37) calculates the total qualified rate of the test samples of the batch, and determines whether the total qualified rate of the test samples of the batch is between 95% and 100%; If it is between 95% and 100%, the total qualified rate calculation unit (37) determines that the batch of samples is qualified; If it is not within the range of 95%-100%, the total qualified rate calculation unit (37) determines that the batch of samples is unqualified; The defective product analysis module (4) is used to receive the judgment results in the qualified rate calculation unit (36) and the total qualified rate calculation unit (37), and when the qualified rate calculation unit (36) and the total qualified rate calculation unit (37) judge the batch as unqualified, receive the counting results in the unqualified product counting unit 1 (33) and the unqualified product counting unit 2 (34), and analyze the cause of the generation of defective products; the judgment module (5) is connected to the unqualified product counting unit 1 (33), the unqualified product counting unit 2 (34), the qualified rate calculation unit (36), and the total qualified rate calculation unit (37); The number of unqualified tensile strength in the unqualified product counting unit 1 33 received by the defective product analysis module 4 is X; the number of unqualified sulfur content ratio in the unqualified product counting unit 2 34 received by the defective product analysis module 4 is Y, and the total number of tests in this batch is W; like The defective product analysis module (4) determines that the processed raw materials are not mixed evenly and the temperature is uneven; like The defective product analysis module (4) determines that the sulfur content in the raw material exceeds the standard.

2. The strip steel quality detection system according to claim 1, characterized in that: N≥20。 3. The strip steel quality detection system according to claim 2, characterized in that: First, the performance testing unit (31) tests whether the tensile strength of both ends of the test sample is qualified; If the tensile strength at both ends is unqualified, the test sample is judged to be unqualified; If the tensile strength at both ends is qualified, the performance detection unit (31) detects whether the tensile strength at the middle of the test sample is qualified; If the tensile strength of the middle part fails to meet the requirements, the test sample is deemed to be unqualified; If the tensile strength in the middle is qualified, the test sample is judged to be qualified.

4. The strip steel quality inspection system according to claim 3 is characterized in that: The method for judging the tensile strength of the performance detection unit (31) is as follows: The performance detection unit (31) sets the tensile strength threshold value as Q, and the tensile strength of the test sample detected by the performance detection unit (31) is a; If a≥Q, the tensile strength of the test sample is judged to be qualified; If a<Q, it is judged that the tensile strength of the test sample is unqualified, and the test sample is judged to be unqualified.

5. The strip steel quality inspection system according to claim 4, characterized in that: Preferably, the characteristic element is sulfur.

6. The strip steel quality inspection system according to claim 5, characterized in that: Preferably, the method for determining whether the sulfur content is qualified is: The component detection unit (32) sets a sulfur component ratio threshold range as (b1, b2), and the component detection unit (32) detects that the sulfur component ratio is b; If b1≤b≤b2, the sulfur content is considered qualified; If b is not between (b1, b2), it is determined that the sulfur content ratio is unqualified and the test sample is unqualified.

7. The strip steel quality inspection system according to claim 6, characterized in that: The component detection unit (32) is a chemical component detector.

8. The strip steel quality inspection system according to claim 7, characterized in that: W can be N or 2N.

9. The strip steel quality inspection system according to claim 8, characterized in that: If the judgment module (5) determines that it is the first detection, W takes the value N; If the judgment module (5) determines that it is the second detection, then W takes the value 2N.

10. A strip steel quality detection method, used in the strip steel quality detection system according to claim 9, characterized in that: The following steps are involved: Step 1: The sampling module (2) samples N test samples from a batch of strip steel, and sends the data information of the sampling completion to the central control module (1), and the central control module (1) controls the detection module (3) to start; Step 2: First, the performance testing unit (31) tests whether the tensile strength of both ends of the test sample is qualified; If the tensile strength at both ends is unqualified, the test sample is determined to be unqualified, and the unqualified product counting unit 1 (33) counts the unqualified products, and the process proceeds to step 3; If the tensile strength at both ends is qualified, the performance detection unit (31) detects whether the tensile strength at the middle of the test sample is qualified; If the tensile strength of the middle part is unqualified, the test sample is determined to be unqualified, and the unqualified product counting unit 1 (33) counts the unqualified products, and the process goes to step 3; If the tensile strength of the middle part is qualified, proceed to step 3; Step 3: The component detection unit (32) detects whether the sulfur component ratio of the test sample is qualified; If the sulfur content is unqualified, the test sample is determined to be unqualified, and the unqualified product counting unit 2 (34) counts the unqualified products, and then proceeds to step 4; If the sulfur content is qualified, proceed to step 4; Step 4: The counting unit (35) determines whether the number of test samples in the current batch is N; If it is N, go to step 5; If it is not N, go back to step 2; Step 5: The judgment module (5) judges whether the test sample is tested for the first time; If it is the first detection, go to step 6; If it is not the first detection, proceed to step 7; Step 6: The qualified rate calculation unit (36) calculates the qualified rate of the current batch and determines whether the qualified sample rate is between 95% and 100%; If it is between 95% and 100%, the qualified rate calculation unit (36) determines that the batch of samples is qualified; If it is not between 95% and 100%, the qualified rate calculation unit (36) continues to determine whether the qualified rate of the batch of samples is 90% or above; If the qualified sample rate is 90% or above, the qualified rate calculation unit (36) sends the data information to the central control module (1) and returns to step 1; If the qualified sample rate is below 90%, the qualified rate calculation unit (36) determines that the batch of samples is unqualified; Step 7: The total qualified rate calculation unit (37) calculates the total qualified rate of the batch of test samples and determines whether the total qualified rate of the batch of test samples is between 95% and 100%; If it is between 95% and 100%, the total qualified rate calculation unit (37) determines that the batch of samples is qualified; If it is not within the range of 95%-100%, the total qualified rate calculation unit (37) determines that the batch of samples is unqualified; Step 8: After the batch inspection is completed, the defective product analysis module (4) receives the judgment results from the qualified rate calculation unit (36) and the total qualified rate calculation unit (37), and when the qualified rate calculation unit (36) and the total qualified rate calculation unit (37) judge the batch as unqualified, it receives the counting results from the unqualified product counting unit 1 (33) and the unqualified product counting unit 2 (34) to analyze the reasons for the generation of defective products.

Citation Information

Patent Citations

  • Belted steel surface quality detection system image collection system

    CN205430414U