Product quality management system and method for factory production

Abstract

The invention discloses a product quality management system and method for factory production, relates to the technical field of product quality management, and solves the technical problems that data analysis lacks scientific and rigorous definition, roots are not deeply classified and checked, and potential laws are not mined by associating historical data. The production information acquisition unit captures multi-production-line data in a centralized manner through one-time input and whole-process sharing, seamless connection quality analysis, information barrier breaking and quality control data foundation stone tamping, so that response of each link is more rapid, multi-round sampling is innovated, a production line quality detection value is determined through mean value calculation, the production line quality detection value is compared with a preset value, production line categories are accurately divided, and the production line quality detection efficiency is improved. The abnormity comprehensive analysis unit is used for analyzing paths according to production line state subdivision, mining and classifying abnormity reasons, and counting related defective product quantity sorting and focusing key problems; the source output information of a single abnormal line is quickly checked; and a single normal line skillfully uses historical matching to pre-judge a trend, and variable-condition grading early warning is performed according to the quantity.

Description

Technical Field

[0001] The present invention relates to the technical field of product quality management, and in particular to a product quality management system and method for factory production. Background Art

[0002] As modern manufacturing industry is booming, factory production scale continues to expand and product lines become increasingly complex. The traditional method of controlling product quality by relying on manual experience and scattered sampling is no longer sustainable.

[0003] According to the publication number CN116976749A, a smart factory product quality management system is disclosed. The smart factory product quality management system includes a raw material quality inspection module, a production and processing inspection module, a product quality inspection module, a quality inspection data analysis module, a quality accident investigation module and a quality inspection monitoring and alarm module. The present invention analyzes and determines whether the product to be tested is qualified and records the corresponding reasons and quantity of unqualified products to be tested. The data of product inspection is counted and the types and quantities of reasons for unqualified product quality inspection and the proportion of each reason are calculated. The process and reasons for quality accidents are tracked, investigated and located, thereby realizing real-time monitoring of quality inspection results, display of process flow that causes quality accidents and alarm reminder functions.

[0004] However, when some existing quality management systems are used, on the one hand, the operation rhythm of each production line is accelerated and the output is rising. Different products have significant differences in production processes, process requirements, and quality sensitive points. Food focuses on packaging preservation integrity, mobile phone shells focus on appearance defects and dimensional accuracy, and mobile phone chips focus on stable and efficient performance. The past extensive management cannot meet the diverse quality inspection needs;

[0005] On the other hand, production information is scattered throughout the workshop. The efficiency of data collection and integration, from material input, processing hours to output quantity, finished product specifications, etc., is low. It is difficult for management to grasp the actual production situation in a timely and accurate manner. Quality problem tracing often encounters obstacles, and there is a lack of systematic and comprehensive considerations when analyzing the causes of abnormalities. Key factors are easily missed, resulting in fluctuations in product defective rates that are difficult to control, which seriously restricts the improvement of corporate efficiency and market competitiveness. Summary of the invention

[0006] In view of the deficiencies in the prior art, the present invention provides a product quality management system and method for factory production, which solves the problems of lack of scientific and rigorous definition of data analysis, lack of in-depth classification and investigation of root causes, and lack of correlation with historical data to mine potential rules.

[0007] To achieve the above objectives, the present invention is implemented through the following technical solutions: A product quality management system for factory production, comprising:

[0008] The production information acquisition unit is used to acquire the production information corresponding to different production lines in the factory and transmit the acquired production information to the product quality analysis unit;

[0009] The product quality analysis unit is used to analyze the acquired production information, and analyze the quality of products produced by different production lines by sampling, and further classify the production lines to obtain classification results, and the classification results include normal production lines and abnormal production lines, and transmit the classification results to the abnormal comprehensive analysis unit;

[0010] The abnormal comprehensive analysis unit is used to obtain the unqualified products corresponding to the normal production line and the abnormal production line, and classify the unqualified products according to the abnormal reasons to obtain the classified abnormal reasons, and at the same time obtain the number of unqualified products with the same type of classified abnormal reasons, analyze the number of unqualified products from large to small, analyze according to the abnormal reasons corresponding to the unqualified products, and analyze according to the different production line conditions corresponding to the abnormal reasons, and generate abnormal information in combination with historical data, and transmit the abnormal information to the quality management information output unit;

[0011] The quality management information output unit is used to display the acquired abnormal information to the corresponding operator.

[0012] As a further solution of the present invention, the specific manner in which the product quality analysis unit analyzes the production information is as follows:

[0013] Get all the production lines and label them as i, where i=1, 2, ..., j, where j represents the number of production lines. Randomly get C products on production line i and test the quality of the products. Classify the products into qualified products and unqualified products according to the test results. Then calculate the product qualification rate of production line i and record it as Gi. Sample production line i multiple times and calculate the corresponding product qualification rates respectively. Then calculate the mean of the corresponding product qualification rates of multiple samples of production line i, and use the calculated mean as the quality test value of production line i and record it as Pi.

[0014] At the same time, the calculated quality detection value Pi is compared with the preset value P1 to classify the production line into a normal production line and an abnormal production line.

[0015] As a further solution of the present invention, the specific manner in which the product quality analysis unit compares the quality detection value with the preset value is:

[0016] If the quality detection value Pi is greater than the preset value P1, it means that the product quality of the corresponding production line is qualified, and the corresponding production line is recorded as a normal production line. Conversely, if the quality detection value Pi is less than the preset value P1, it means that the product quality of the corresponding production line is unqualified, and the corresponding production line is recorded as an abnormal production line. The normal production line and abnormal production line obtained are transmitted to the abnormal comprehensive analysis unit.

[0017] As a further solution of the present invention, the specific method of the abnormal comprehensive analysis unit to obtain the classified abnormal cause is:

[0018] Let the normal production line be denoted as a, and a=1, 2, ..., n; let the abnormal production line be denoted as b, and b=1, 2, ..., m, where n+m=j, and n and m represent the number of normal production lines and abnormal production lines respectively. Then, the unqualified products corresponding to the abnormal production line b are obtained and labeled as k, and k=1, 2, ..., u, where u represents the number of unqualified products of the abnormal production line. At the same time, the abnormal reasons corresponding to the unqualified product k are obtained. Then all the abnormal reasons are obtained, and the abnormal reasons are classified to obtain the classified abnormal reasons, labeled as r, and r=1, 2, ..., v. At the same time, the number of unqualified products corresponding to the classified abnormal reason r is obtained and recorded as Lr, and the unqualified products are sorted from large to small according to the number Lr of unqualified products to generate sorting information.

[0019] As a further solution of the present invention, the specific manner in which the abnormal comprehensive analysis unit analyzes the abnormal causes corresponding to the unqualified products is:

[0020] Obtain the abnormal cause corresponding to the maximum number of unqualified products Lr and record it as the analysis object. At the same time, determine the occurrence position of the analysis object and generate a judgment result, where the judgment result includes a single abnormal production line result, a single normal production line result and a mixed production line result. At the same time, analyze the obtained judgment results separately.

[0021] As a further solution of the present invention, the abnormal comprehensive analysis unit analyzes the results of a single abnormal production line in the following manner:

[0022] Obtain the unqualified products of the corresponding abnormal production line, obtain the abnormal reasons of the corresponding unqualified products, generate abnormal reason information, and then transmit the abnormal reason information to the quality management information output unit.

[0023] As a further solution of the present invention, the abnormal comprehensive analysis unit analyzes the results of a single normal production line in the following manner:

[0024] Obtain the unqualified products corresponding to the normal production line, and at the same time obtain the abnormal reasons of the corresponding unqualified products, then obtain the historical data, and obtain all the abnormal historical reasons in the historical data, and at the same time match the abnormal historical reasons with the abnormal reasons. If the abnormal historical reasons match the abnormal reasons, then obtain the number of unqualified products corresponding to the abnormal reasons, and judge the change of the number of unqualified products, and generate a product quantity analysis signal. If the abnormal historical reasons do not match the abnormal reasons, then generate abnormal reason information based on the abnormal reasons, and then transmit the abnormal reason information to the quality management information output unit;

[0025] The product quantity analysis signal is analyzed. If the number of unqualified products increases, abnormal cause warning information is generated. If the number of unqualified products decreases, abnormal cause information is generated, and both are transmitted to the quality management information output unit.

[0026] As a further solution of the present invention, the abnormal comprehensive analysis unit analyzes the mixed production line results in the following manner:

[0027] Obtain the unqualified products corresponding to the normal production line and the abnormal production line respectively, record them as K1 and K2, then obtain the historical data corresponding to the normal production line and the abnormal production line, and take T as the time period, determine the change in the number of unqualified products corresponding to the normal production line and the abnormal production line within the time period T, and calculate the change difference of the unqualified products within the time period T, and compare the calculated difference with the preset difference;

[0028] If the difference is greater than the preset difference, the abnormal reason for the corresponding production of unqualified products is obtained and abnormal warning information is generated. Conversely, if the difference is less than the preset difference, abnormal reason information is generated and both are transmitted to the quality management output unit.

[0029] A method for managing product quality for factory production, the method specifically comprising the following steps:

[0030] Step 1: Obtain production information of different production lines and perform multiple sampling of products from the production lines;

[0031] Step 2: Test the quality of the products sampled multiple times and classify them into qualified products and unqualified products, calculate the qualified rate of the production line products, and classify the production lines into normal production lines and abnormal production according to the qualified rate of the products;

[0032] Step 3: Obtain the unqualified products corresponding to the normal production line and the abnormal production line, and classify the unqualified products according to the abnormal reasons to obtain the classified abnormal reasons, and at the same time obtain the number of unqualified products with the same type of classified abnormal reasons;

[0033] Step 4: Analyze the number of unqualified products from large to small, analyze the abnormal reasons corresponding to the unqualified products, and analyze the different production line conditions corresponding to the abnormal reasons, and generate abnormal information in combination with historical data.

[0034] Beneficial Effects

[0035] The present invention provides a product quality management system and method for factory production. Compared with the prior art, it has the following beneficial effects:

[0036] The present invention uses a production information collection unit to centrally capture data from multiple production lines, "enter once and share throughout the process", seamlessly connect to quality analysis, break down information barriers, consolidate the data foundation of quality control, make each link more responsive, innovate multiple rounds of sampling and mean calculation to determine the quality detection value of the production line, accurately classify the production line by comparing with the preset value, reasonably allocate resources, and improve the overall quality stability;

[0037] The comprehensive abnormal analysis unit breaks down the analysis path according to the status of the production line, explores and classifies the causes of abnormalities, and sorts and statistics the related defective quantities to focus on key issues; it quickly checks the root cause and outputs information for a single abnormal line; it cleverly uses historical matching to predict trends for a single normal line, and gives graded warnings based on quantity changes; mixed production lines set time periods and compare differences to accurately identify hidden dangers, provide all-round protection for production, reduce defective products, improve efficiency, and strengthen market competitiveness. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] Figure 1 This is a block diagram of the system principle of the present invention;

[0039] Figure 2 It is a diagram of the steps of the present invention. DETAILED DESCRIPTION

[0040] 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.

[0041] For example, see Figure 1 The present application provides a product quality management system for factory production, including: a production information collection unit, a product quality analysis unit, an abnormal comprehensive analysis unit and a quality management information output unit, and in combination with the attached Figure 1 It can be known that the above functional units are electrically connected in a unidirectional manner.

[0042] The production information acquisition unit is used to acquire the production information corresponding to different production lines in the factory, and transmit the acquired production information to the product quality analysis unit. The production information acquired here includes the corresponding production quantity, product type and production time.

[0043] The product quality analysis unit is used to analyze the acquired production information, and analyze the quality of products produced by different production lines by sampling, and further classify the production lines to obtain classification results, and the classification results include normal production lines and abnormal production lines, and the classification results are transmitted to the abnormal comprehensive analysis unit.

[0044] Get all the production lines and label them as i, and i=1, 2, ..., j, where j represents the number of production lines. At the same time, randomly get C products on production line i, and test the quality of the products. At the same time, classify the products according to the test results to obtain qualified products and unqualified products. The quality test here includes appearance test, performance test and packaging test. The specific test content is set according to the needs of the product. For example, for food, the packaging of the food is tested. For example, for mobile phone shells, the appearance is tested, and for mobile phone chips, the performance is tested. Then calculate the product qualification rate of production line i and record it as Gi. The qualification rate is obtained by dividing the number of qualified products by the total number of products. At the same time, sample production line i multiple times, and calculate the corresponding product qualification rates respectively. Then calculate the average of the corresponding product qualification rates of multiple samples of production line i, and use the calculated average as the quality test value of production line i and record it as Pi;

[0045] Based on the classification results, the qualified rate of products of each production line Gi is calculated. The calculation method is to divide the number of qualified products by the total number of products 25, that is, the qualified rate of the first sampling products of production line 1 G1 1 ≈0.833(here G1 1 In order to eliminate the interference of accidental factors and obtain more representative production line quality data, multiple (assuming 5) sampling tests are carried out on each production line, and the product qualification rate corresponding to each sampling is calculated respectively. For example, the five sampling product qualification rates of production line 1 are G1 1 ≈0.833, G1 2 ≈0.867 (assuming that there are 26 qualified products in the second sampling), G1 3 ≈0.800, G1 4 ≈0.850, G1 5≈0.883 Then, calculate the mean of the qualified rates of products corresponding to multiple samples of production line i, and use this as the quality inspection value Pi of production line i. The quality inspection value P1 of production line 1 is ≈0.847. Similarly, the quality inspection values ​​of production lines 2, 3, 4, and 5 can be calculated as P2, P3, P4, and P5, respectively (assuming that they are approximately 0.825, 0.900, 0.860, and 0.810, respectively).

[0046] Then the calculated quality inspection value Pi is compared with the preset value P1, and the specific value of the preset value here is set by the operator. If the quality inspection value Pi is greater than the preset value P1, it means that the product quality of the corresponding production line is qualified, and the corresponding production line is recorded as a normal production line. On the contrary, if the quality inspection value Pi is less than the preset value P1, it means that the product quality of the corresponding production line is unqualified, and the corresponding production line is recorded as an abnormal production line, and the obtained normal production line and abnormal production line are transmitted to the abnormal comprehensive analysis unit.

[0047] The abnormal comprehensive analysis unit is used to analyze the obtained classification results. The abnormal causes of all unqualified products are analyzed and classified to obtain the classified abnormal causes. Then the unqualified products corresponding to the classified causes are obtained, and the historical data is combined for analysis to generate abnormal information, and the abnormal information is transmitted to the quality management output unit.

[0048] Obtain the classification result, and record the normal production line as a, and a=1, 2, ..., n, record the abnormal production line as b, and b=1, 2, ..., m, where n+m=j, and n and m represent the number of normal production lines and abnormal production lines respectively. Then obtain the unqualified products corresponding to the abnormal production line b, and the unqualified products here are the total amount of all abnormal production, and are labeled as k, and k=1, 2, ..., u, where u represents the number of unqualified products of the abnormal production line. At the same time, obtain the abnormal cause corresponding to the unqualified product k, then obtain all the abnormal causes, and classify the abnormal causes to obtain the classified abnormal cause label r, and r=1, 2, ..., v. At the same time, obtain the number of unqualified products corresponding to the classified abnormal cause r, and record it as Lr, and generate sorting information according to the number of unqualified products Lr from large to small;

[0049] The number of unqualified products associated with each classification abnormal reason "r" is counted in detail, recorded as "Lr". Taking the automotive parts company as an example, it was found that there were 20 unqualified products caused by "mold-related problems" (r=1), 15 caused by "heat treatment process deviation" (r=2), 10 caused by "raw material quality defects" (r=3), and 5 due to other miscellaneous reasons (r=4), that is, L1=20, L2=15, L3=10, L4=5. Sorting from large to small according to the Lr value generates clear sorting information: r1 (mold-related problems)>r2 (heat treatment process deviation)>r3 (raw material quality defects)>r4 (other miscellaneous reasons).

[0050] Then, the abnormal reason corresponding to the maximum number of unqualified products Lr is obtained and recorded as the analysis object. At the same time, the appearance position of the analysis object is determined, and here it specifically indicates whether the analysis object appears in a normal production line or an abnormal production line, and a judgment result is generated, wherein the judgment result includes a single abnormal production line result, a single normal production line result and a mixed production line result, and the obtained judgment results are analyzed respectively;

[0051] The method of analyzing the result of a single abnormal production line is: obtaining the unqualified products of the corresponding abnormal production line, obtaining the abnormal reasons of the corresponding unqualified products, generating abnormal reason information, and then transmitting the abnormal reason information to the quality management information output unit;

[0052] The method of analyzing the results of a single normal production line is as follows: obtaining the unqualified products corresponding to the normal production line, and obtaining the abnormal reasons for the corresponding unqualified products, then obtaining the historical data, and obtaining all the abnormal historical reasons in the historical data, and matching the abnormal historical reasons with the abnormal reasons, and the abnormal reasons here are the abnormal reasons that occur in the current normal production line. If the abnormal historical reasons match the abnormal reasons, then the number of unqualified products corresponding to the abnormal reasons is obtained, and the change in the number of unqualified products is determined, and a product quantity analysis signal is generated at the same time. If the abnormal historical reasons do not match the abnormal reasons, then the abnormal reason information is generated based on the abnormal reasons, and then the abnormal reason information is transmitted to the quality management information output unit;

[0053] Analyze the product quantity analysis signal, if the number of unqualified products increases, generate abnormal cause warning information, if the number of unqualified products decreases, generate abnormal cause information, and transmit both to the quality management information output unit;

[0054] The method for analyzing the results of the mixed production line is as follows: obtain the unqualified products corresponding to the normal production line and the abnormal production line, respectively, and record them as K1 and K2, and K1 is the number of unqualified products of the normal production line, and K2 is the number of unqualified products of the abnormal production line. Then obtain the historical data corresponding to the normal production line and the abnormal production line, and take T as the time period, and the value of the time period T is set by the operator, judge the change in the number of unqualified products corresponding to the normal production line and the abnormal production line within the time period T, and calculate the change difference of the unqualified products within the time period T, and here the difference of unqualified products of the normal production line and the abnormal production line is calculated respectively, and the calculated difference is compared with the preset difference. The specific preset difference value is set by the operator. If the difference is greater than the preset difference, it means that the number of unqualified products of the corresponding production line does not meet the normal situation. At the same time, obtain the abnormal reason for the corresponding production of unqualified products, and generate abnormal warning information. On the contrary, if the difference is less than the preset difference, it means that the number of unqualified products of the corresponding production line is an increase, but does not exceed the normal situation, and generate abnormal reason information, and transmit both to the quality management output unit.

[0055] The quality management output unit is used to display the acquired abnormal information to the corresponding operator.

[0056] For example 2, please refer to Figure 2 The present application provides a method for managing the quality of products used in factory production, which specifically includes the following steps:

[0057] Step 1: Obtain production information of different production lines and perform multiple sampling of products from the production lines;

[0058] Step 2: The quality of the products sampled multiple times is tested and classified into qualified products and unqualified products, and the qualified rate of the production line products is calculated at the same time, and the production line is classified into normal production lines and abnormal production according to the qualified rate of the products, and the classification method here is the same as the processing method of the product quality analysis unit in Example 1;

[0059] Step 3, the unqualified products corresponding to the normal production line and the abnormal production line are obtained, and the abnormal reasons of the unqualified products are classified according to the abnormal reasons to obtain the classified abnormal reasons, and the number of unqualified products with the same type of classified abnormal reasons is obtained at the same time, and the specific analysis method is the same as the processing method of the abnormal comprehensive analysis unit in the first embodiment;

[0060] Step 4: Analyze the number of unqualified products from large to small, analyze according to the abnormal reasons corresponding to the unqualified products, and analyze according to the different production line conditions corresponding to the abnormal reasons, and generate abnormal information in combination with historical data. The specific analysis method is the same as the processing method of the abnormal comprehensive analysis unit in Example 1.

[0061] Meanwhile, the contents not described in detail in this specification belong to the prior art known to those skilled in the art.

[0062] The above embodiments are only used to illustrate the technical method of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical method of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical method of the present invention.

Claims

1. A product quality management system for factory production, characterized in that: include: The production information acquisition unit is used to acquire the production information corresponding to different production lines in the factory and transmit the acquired production information to the product quality analysis unit; The product quality analysis unit is used to analyze the acquired production information, analyze the quality of products produced by different production lines by sampling, and classify the production lines to obtain classification results, and the classification results include normal production lines and abnormal production lines, and transmit the classification results to the abnormal comprehensive analysis unit; The abnormal comprehensive analysis unit is used to obtain the unqualified products corresponding to the normal production line and the abnormal production line, and classify the unqualified products according to the abnormal reasons to obtain the classified abnormal reasons, and at the same time obtain the number of unqualified products with the same type of classified abnormal reasons, analyze the number of unqualified products from large to small, analyze according to the abnormal reasons corresponding to the unqualified products, and analyze according to the different production line conditions corresponding to the abnormal reasons, and generate abnormal information in combination with historical data, and transmit the abnormal information to the quality management information output unit; The quality management information output unit is used to display the acquired abnormal information to the corresponding operator.

2. A product quality management system for factory production according to claim 1, characterized in that: The specific method in which the product quality analysis unit analyzes the production information is as follows: Get all the production lines and label them as i, where i=1, 2, ..., j, where j represents the number of production lines. Randomly get C products on production line i and test the quality of the products. Classify the products into qualified products and unqualified products according to the test results. Then calculate the product qualification rate of production line i and record it as Gi. Sample production line i multiple times and calculate the corresponding product qualification rates respectively. Then calculate the mean of the corresponding product qualification rates of multiple samples of production line i, and use the calculated mean as the quality test value of production line i and record it as Pi. At the same time, the calculated quality detection value Pi is compared with the preset value P1 to classify the production line into a normal production line and an abnormal production line.

3. A product quality management system for factory production according to claim 2, characterized in that: The specific method of comparing the quality detection value with the preset value by the product quality analysis unit is: If the quality detection value Pi is greater than the preset value P1, it means that the product quality of the corresponding production line is qualified, and the corresponding production line is recorded as a normal production line. Conversely, if the quality detection value Pi is less than the preset value P1, it means that the product quality of the corresponding production line is unqualified, and the corresponding production line is recorded as an abnormal production line. The normal production line and abnormal production line obtained are transmitted to the abnormal comprehensive analysis unit.

4. A product quality management system for factory production according to claim 1, characterized in that: The specific method for the abnormal comprehensive analysis unit to obtain the classification abnormality cause is: Let the normal production line be denoted as a, and a=1, 2, ..., n; let the abnormal production line be denoted as b, and b=1, 2, ..., m, where n+m=j, and n and m represent the number of normal production lines and abnormal production lines respectively. Then, the unqualified products corresponding to the abnormal production line b are obtained and labeled as k, and k=1, 2, ..., u, where u represents the number of unqualified products of the abnormal production line. At the same time, the abnormal reasons corresponding to the unqualified product k are obtained. Then all the abnormal reasons are obtained, and the abnormal reasons are classified to obtain the classified abnormal reasons, labeled as r, and r=1, 2, ..., v. At the same time, the number of unqualified products corresponding to the classified abnormal reason r is obtained and recorded as Lr, and the unqualified products are sorted from large to small according to the number Lr of unqualified products to generate sorting information.

5. A product quality management system for factory production according to claim 1, characterized in that: The specific method in which the abnormal comprehensive analysis unit analyzes the abnormal causes corresponding to the unqualified products is as follows: Obtain the abnormal cause corresponding to the maximum number of unqualified products Lr and record it as the analysis object. At the same time, determine the occurrence position of the analysis object and generate a judgment result, where the judgment result includes a single abnormal production line result, a single normal production line result and a mixed production line result. At the same time, analyze the obtained judgment results separately.

6. A product quality management system for factory production according to claim 5, characterized in that: The abnormal comprehensive analysis unit analyzes the results of a single abnormal production line in the following manner: Obtain the unqualified products of the corresponding abnormal production line, obtain the abnormal reasons of the corresponding unqualified products, generate abnormal reason information, and then transmit the abnormal reason information to the quality management information output unit.

7. A product quality management system for factory production according to claim 5, characterized in that: The abnormal comprehensive analysis unit analyzes the results of a single normal production line in the following manner: Obtain the unqualified products corresponding to the normal production line, and at the same time obtain the abnormal reasons of the corresponding unqualified products, then obtain the historical data, and obtain all the abnormal historical reasons in the historical data, and at the same time match the abnormal historical reasons with the abnormal reasons. If the abnormal historical reasons match the abnormal reasons, then obtain the number of unqualified products corresponding to the abnormal reasons, and judge the change of the number of unqualified products, and generate a product quantity analysis signal. If the abnormal historical reasons do not match the abnormal reasons, then generate abnormal reason information based on the abnormal reasons, and then transmit the abnormal reason information to the quality management information output unit; The product quantity analysis signal is analyzed. If the number of unqualified products increases, abnormal cause warning information is generated. If the number of unqualified products decreases, abnormal cause information is generated, and both are transmitted to the quality management information output unit.

8. A product quality management system for factory production according to claim 5, characterized in that: The abnormal comprehensive analysis unit analyzes the mixed production line results in the following manner: Obtain the unqualified products corresponding to the normal production line and the abnormal production line respectively, record them as K1 and K2, then obtain the historical data corresponding to the normal production line and the abnormal production line, and take T as the time period, determine the change in the number of unqualified products corresponding to the normal production line and the abnormal production line within the time period T, and calculate the change difference of the unqualified products within the time period T, and compare the calculated difference with the preset difference; If the difference is greater than the preset difference, the abnormal reason for the corresponding production of unqualified products is obtained and abnormal warning information is generated. Conversely, if the difference is less than the preset difference, abnormal reason information is generated and both are transmitted to the quality management output unit.

9. A method for factory production product quality management, used to implement a factory production product quality management system as claimed in any one of claims 1 to 8, characterized in that: The method specifically comprises the following steps: Step 1: Obtain production information of different production lines and perform multiple sampling of products from the production lines; Step 2: Test the quality of the products sampled multiple times and classify them into qualified products and unqualified products, calculate the qualified rate of the production line products, and classify the production lines into normal production lines and abnormal production according to the qualified rate of the products; Step 3: Obtain the unqualified products corresponding to the normal production line and the abnormal production line, and classify the unqualified products according to the abnormal reasons to obtain the classified abnormal reasons, and at the same time obtain the number of unqualified products with the same type of classified abnormal reasons; Step 4: Analyze the number of unqualified products from large to small, analyze the abnormal reasons corresponding to the unqualified products, and analyze the different production line conditions corresponding to the abnormal reasons, and generate abnormal information in combination with historical data.

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