System and method for pre-inspecting quality of products

Abstract

The present application provides a system and method for pre-detecting quality of products, which comprises: an acquisition unit configured to acquire first data related to a production process of a batch of products and second data obtained by performing factory detection on the batch of products; and a control unit configured to determine a quality level of the batch of products based on the first data, the second data, and third data related to a past use record or a past material detection record of the products.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of data processing, and in particular to a system and method for pre-detecting quality of products based on data processing. BACKGROUND

[0002] Incoming Quality Control (IQC) refers to that a product purchaser detects a batch of products that are purchased, and judges whether to accept or return the batch of products according to a detection result.

[0003] In the existing incoming quality control, a sampling inspection manner is usually used to detect the batch of products.

[0004] It should be noted that the above introduction to the technical background is only for the convenience of clearly and completely describing the technical solutions of the present application, and for the convenience of understanding by those skilled in the art. The above technical solutions cannot be considered as known to those skilled in the art only because they are described in the background of the present application. SUMMARY

[0005] The present inventors find that the product purchaser uses the same degree of sampling inspection for each batch of products, which can be unreasonable. If the quality of each batch of products can be pre-detected, the corresponding sampling inspection can be arranged according to the pre-detection result. For example, for products with a higher quality level in the pre-detection result, the sampling inspection can be reduced to improve the efficiency of product warehousing. For products with a lower quality level in the pre-detection result, the sampling inspection can be increased to improve the level of incoming detection. However, in the prior art, there is no technology for pre-detecting the quality of purchased products.

[0006] In order to solve the above problems or other similar problems, the embodiments of the present application provide a system and method for pre-detecting the quality of products. In the system, the quality of a batch of products is pre-detected according to first data related to the production process of the batch of products, second data obtained by performing factory detection on the batch of products, and third data related to past use records and / or detection records of the products. Thereby, the batch of products can be detected in an incoming manner corresponding to the pre-detection result, so as to improve the efficiency and level of incoming detection.

[0007] According to an aspect of an embodiment of the present application, a system for pre-detecting the quality of products is provided, comprising:

[0008] an acquisition unit configured to acquire first data related to the production process of a batch of products and second data obtained by performing factory detection on the batch of products; and

[0009] a control unit configured to determine a quality level of the batch of products according to the first data, the second data, and third data related to past use records and / or past incoming material detection records of the products.

[0010] According to another aspect of the embodiments of the present application, a method for pre-detecting the quality of products is provided, comprising:

[0011] obtaining first data related to the production process of a batch of products and second data obtained by performing factory detection on the batch of products; and

[0012] determining a quality level of the batch of products according to the first data, the second data, and third data related to past use records and / or past incoming material detection records of the products.

[0013] One of the beneficial effects of the embodiments of the present application is that the quality of a batch of products is pre-detected according to first data related to the production process of the batch of products, second data obtained by performing factory detection on the batch of products, and third data related to past use records and / or detection records of the products, so that incoming material detection on the batch of products can be performed in a manner corresponding to the result of the pre-detection, thereby improving the efficiency and level of the incoming material detection.

[0014] The particular implementations of the application described in detail in the disclosure and drawings are considered to be illustrative of the principles of the application. Numerous modifications and adaptations will be apparent to those skilled in the art in view of the disclosure and teachings of this application. This application should be limited only by the scope of the claims appended hereto and equivalents thereof.

[0015] Features described and / or illustrated with respect to one implementation can be used in the same or similar manner in one or more other implementations, in combination with or in place of features in other implementations, or in place of or in addition to features described or illustrated with respect to other implementations.

[0016] It should be emphasized that the term "comprises / comprising" when used in this specification is taken to mean the presence of stated features, integers, steps or components but not the exclusion of one or more other features, integers, steps, components or groups thereof. BRIEF DESCRIPTION OF DRAWINGS

[0017] The accompanying drawings, which are included to provide a further understanding of the application and are incorporated in and constitute a part of this specification, illustrate embodiments of the application and together with the description serve to explain the principles of the application. It is to be understood that the drawings are solely for purposes of illustration to one of ordinary skill in the art, the present application can be obtained from the drawings, without applying creative skills. In the drawings:

[0018] Figure 1 is a schematic diagram of a system for pre-detecting quality of products according to Embodiment 1 of the present application;

[0019] Figure 2 is a schematic diagram of a corresponding relationship according to Embodiment 1 of the present application;

[0020] Figure 3 is an example of applying system 1 to a product incoming detection process;

[0021] Figure 4 is a schematic diagram of a method for pre-detecting quality of products according to Embodiment 2 of the present application. DETAILED DESCRIPTION

[0022] The foregoing and other features of the present application will become apparent to those skilled in the art upon consideration of the following description of specific embodiments of the present application, which are not intended to limit the scope of the application. In describing specific embodiments of the application, specific terminology is used for the sake of clarity. However, the use of such terminology is not intended to limit the scope of the application, since alternative embodiments of the application can employ techniques that are similar to those described in connection with the embodiments described herein. Various embodiments of the present application are described below with reference to the drawings. These embodiments are merely exemplary and are not intended to limit the present application.

[0023] In the embodiments of the present application, the terms "first", "second", and the like are used to distinguish different elements from one another, but do not indicate spatial arrangement or temporal order of the elements, and the elements should not be limited by these terms. The term "and / or" includes any one and all combinations of the associated listed terms. The terms "comprise", "have", and the like are intended to mean the presence of the stated features, elements, components, or assemblies, but do not exclude the presence or addition of one or more other features, elements, components, or assemblies.

[0024] In the embodiments of the present application, the singular forms "a", "an", and "the" include plural referents unless the context clearly dictates otherwise. The term "the" should be construed to mean "at least one" unless the context clearly dictates otherwise. In addition, the term "according to" should be construed as "based at least in part on" unless the context clearly dictates otherwise.

[0025] Embodiment 1

[0026] Embodiment 1 of the present application provides a system for pre-detecting quality of products.

[0027] Figure 1 is a schematic diagram of a system for pre-detecting quality of products according to Embodiment 1 of the present application. As shown in FIG. 1, the system 1 comprises a product quality pre-detection device 10 and a product quality pre-detection database 20. Figure 1As shown, the system 1 for pre-detecting the quality of products comprises an acquisition unit 10 and a control unit 20.

[0028] The acquisition unit 10 is capable of acquiring first data related to the production process of a batch of products and second data obtained by performing factory detection on the batch of products; and the control unit 20 determines the quality of the batch of products according to the first data, the second data, and third data related to the past use records and / or past incoming detection records of the products.

[0029] According to a first aspect of the embodiments of the present application, before a purchasing party of products performs incoming detection on a batch of products, the quality of the batch of products can be pre-detected according to first data related to the production process of the batch of products, second data obtained by performing factory detection on the batch of products, and third data related to the past use records and / or past incoming detection records of the products.

[0030] In this way, the batch of products can be subjected to incoming detection in a manner corresponding to the result of the pre-detection, so as to improve the efficiency and level of the incoming detection: for example, if the result of the pre-detection is that the quality level of the batch of products is high, the intensity of sampling inspection can be reduced for the batch of products, so as to improve the efficiency of warehousing of the batch of products; for another example, if the result of the pre-detection is that the quality level of the batch of products is low, the intensity of sampling inspection can be increased for the batch of products, so as to improve the level of the incoming detection.

[0031] In the present application, the first data related to the production process of the batch of products can include: the running parameters of the production equipment in the production process of the batch of products, and / or the detection conditions of the intermediate stage detection equipment, and / or the detection data of the intermediate stage detection equipment, etc. For example, the batch of products is a printed circuit board, and the production process of the printed circuit board can include a plating process and an oxide film covering process, etc., and the first data can include: the running parameters of each equipment in the plating process and the oxide film covering process, the detection conditions of the detection equipment after the plating process and the oxide film covering process are respectively completed, and the unqualified rate of the intermediate semi-finished products detected by the detection equipment, etc.

[0032] In the present application, the second data obtained by performing factory detection on the batch of products can be final quality control (FQC) data.

[0033] For example, the second data can include: the unqualified rate of the batch of products obtained by performing factory detection on the finished products of the batch of products, and / or unqualified factors, and / or performance detection results of the products, etc. For example, the performance detection results of the products include: the strength of the printed circuit board, and / or the conductivity of the conductive pattern of the printed circuit board, etc.

[0034] In the present application, the first data and the second data can be obtained by the manufacturer of the product setting the corresponding data acquisition instrument to collect the production process and detection results of the product, or can be obtained by manual recording.

[0035] In the present application, as shown in Figure 1 The system 1 for pre-detecting the quality of the product can also include a storage unit 30. The storage unit 30 can store the first data and the second data. For example, the manufacturer of the product can transmit the first data and the second data to the storage unit for storage, and the acquisition unit 10 can obtain the first data and the second data from the storage unit 30. In some embodiments, the storage unit 30 can be a cloud server or the like.

[0036] In addition, the present application can also not have the storage unit 30, so that the first data and the second data can be directly sent to the acquisition unit 10 by the manufacturer of the product.

[0037] In the present application, the third data related to the past use record and / or the past material detection record of the product can include: the complaint record or the praise record related to the product, and / or the product qualification rate or disqualification rate obtained by the buyer of the product when the buyer of the product performs material detection on the product that has been purchased, etc.

[0038] The third data can be collected by the buyer of the batch of products and saved in a database (not shown). Figure 1

[0039] In the present application, as shown in Figure 1 The control unit 20 includes a first detection unit 201.

[0040] The first detection unit 201 can compare the first data and / or the second data with the elements extracted based on the third data, and determine the quality level of the batch of products according to whether the first data or the second data has data matching the elements.

[0041] Among them, the elements extracted based on the third data refer to the elements that have a serious adverse effect on the quality of the product extracted based on the third data, and these elements can also be saved in the database.

[0042] For example, the product is a printed circuit board, and in the third data, the complaint record related to the product exists the situation that the circuit of the printed circuit board is broken or the strength of the printed circuit board is low and easy to bend, etc. Therefore, the elements extracted based on the third data can include: the conductive circuit of the printed circuit board is broken, or the strength of the printed circuit board is lower than a threshold.

[0043] ​If the first detection unit 201 detects data in the first data and / or the second data that matches the above-mentioned elements, it is determined that the batch of products has a first quality level, which means that the batch of products has a higher risk in quality and needs to be strengthened in incoming inspection, or even returned.

[0044] For example, if the first detection unit 201 detects data in the first data about the detection data of the semi-finished product of the printed circuit board that the conductive circuit is broken, or the second data about the strength of the printed circuit board is lower than the above-mentioned threshold value, the first detection unit 201 determines that the batch of products has a first quality level.

[0045] In addition, if the first detection unit 201 does not detect data in the first data and the second data that matches the above-mentioned elements, the batch of products is not determined to have a first quality level.

[0046] As shown in Figure 1 The control unit 20 can further include a second detection unit 202.

[0047] The second detection unit 202 compares the factory quality unqualified rate of the batch of products in the second data with the preset value of the incoming inspection unqualified rate of the product, and determines the quality level of the batch of products according to the comparison result.

[0048] For example, the preset value of the incoming inspection unqualified rate of the product can be the average unqualified rate of the product in the past period of time (for example, within one year), or the preset value can also be set in advance according to actual needs.

[0049] If the second detection unit 202 detects that the factory quality unqualified rate of the batch of products in the second data is N1 times or more than the above-mentioned preset value, the batch of products is determined to have a second quality level; if the second detection unit 202 detects that the factory quality unqualified rate of the batch of products in the second data is N1 times or less than N2 times than the above-mentioned preset value, the batch of products is determined to have a third quality level; if the second detection unit 202 detects that the factory quality unqualified rate of the batch of products in the second data is N2 times or less than the above-mentioned preset value, the batch of products is determined to have a fourth quality level. Wherein N1 is greater than N2, for example, N1 is equal to 5, and N2 is equal to 2.

[0050] The risk of the batch of products corresponding to the second quality level is higher than the risk of the quality corresponding to the third quality level, the risk of the quality corresponding to the third quality level is higher than the risk of the quality corresponding to the fourth quality level, and the risk of the quality corresponding to the second quality level is lower than or equal to the risk of the quality corresponding to the first quality level. The fourth quality level means that the batch of products has the lowest risk in quality, and the strength of incoming inspection can be lighter, or even no incoming inspection is needed. The above-mentioned division method and the number of quality levels are only examples, and the application can not be limited thereto. For example, the first quality level can be set as the lowest risk, and the fourth quality level can be set as the highest risk. For another example, more than four quality levels or less than four quality levels can be set.

[0051] As shown in Figure 1 , the control unit 20 can further include a third detection unit 203.

[0052] The third detection unit 203 determines the quality level of the batch of products according to the corresponding relationship between the factory quality unqualified rate obtained by the factory inspection of the product in the past and the incoming inspection unqualified rate obtained by the incoming inspection of the product in the past, and the second data. The above-mentioned corresponding relationship is a relationship obtained by fitting the past data, which can be represented as a curve. According to the corresponding relationship, the quality level of the batch of products can be predicted before the incoming inspection. For the specific method of fitting the past data to obtain the corresponding relationship, please refer to the related art.

[0053] For example, the third detection unit 203 determines the incoming inspection unqualified rate corresponding to the factory quality unqualified rate in the second data according to the corresponding relationship, and determines the quality level of the batch of products according to whether the corresponding incoming inspection unqualified rate falls within the predetermined incoming inspection unqualified rate interval.

[0054] Figure 2 is a schematic diagram of the above-mentioned corresponding relationship. As shown in Figure 2 , the horizontal axis represents the factory quality unqualified rate obtained by the factory inspection of the product, and the factory quality unqualified rate increases in the direction of the arrow; the vertical axis represents the incoming inspection unqualified rate obtained by the incoming inspection of the product, and the incoming inspection unqualified rate increases in the direction of the arrow; and the curve 200 is the corresponding relationship between the factory quality unqualified rate and the incoming inspection unqualified rate obtained according to the past data.

[0055] For example, the predetermined incoming inspection unqualified rate interval is that the incoming inspection unqualified rate is greater than B. For the batch of products, if the factory quality unqualified rate in the second data is A1, according to Figure 2the curve 200, the outgoing quality unqualified rate A2 corresponds to a material detection unqualified rate B2, since B2 is less than B, B2 falls outside the predetermined material detection unqualified rate interval, the third detection unit 203 can determine that the quality level of the batch of products is the third quality level or the fourth quality level. In this example, it is also assumed that the fourth quality level has the lowest risk and the first quality level has the highest risk. Figure 2 the curve 200, the outgoing quality unqualified rate A2 corresponds to a material detection unqualified rate B2, since B2 is less than B, B2 falls outside the predetermined material detection unqualified rate interval, the third detection unit 203 can determine that the quality level of the batch of products is the third quality level or the fourth quality level. In this example, it is also assumed that the fourth quality level has the lowest risk and the first quality level has the highest risk.

[0056] In the present application, the predetermined material detection unqualified rate interval used by the third detection unit 203 can be determined by the P control chart for the product, and can also be determined based on other methods. For the meaning and principle of the P control chart, please refer to the related art.

[0057] In the present application, the above-mentioned corresponding relationship used by the third detection unit 203 can be updated. For example, after the material detection of the batch of products is performed, the material detection unqualified rate obtained by the material detection of the batch of products and the outgoing quality unqualified rate in the second data of the batch of products can be added to the past data, the past data is updated, and the above-mentioned corresponding relationship is updated using the updated past data.

[0058] In the present application, as shown in Figure 1 the control unit 20 can further include a data processing and storage unit 204, which can perform data cleaning (i.e. removing useless data) and storage on the first data and the second data obtained by the acquisition unit 10.

[0059] In the present application, as shown in Figure 1 the system 1 for pre-detecting the quality of the product can further include a display 40. The display 40 can display the determination result of the quality level of the batch of products by the control unit 20. Thus, the determination result of the quality level of the batch of products can be presented in a visual manner, thereby facilitating the subsequent material detection work for the batch of products.

[0060] The incoming inspection work can be performed according to the determination result of the control unit 20 on the quality grade of the batch of products, for example, when the determination result of the control unit 20 on the quality grade of the batch of products is the first quality grade, the second quality grade, the third quality grade or the fourth quality grade, the corresponding incoming inspection can be intensive inspection (for example, increasing the number of samples for sampling inspection, or returning the batch of products), normal inspection, reduced intensity inspection (for example, reducing the number of samples for sampling inspection) or exempt from inspection, etc.

[0061] In addition, the determination result of the control unit 20 on the quality grade of the batch of products of the present application can also be fed back to the producer of the batch of products to assist the producer in correcting the production process.

[0062] Figure 3 The system 1 is applied to the product incoming inspection process, for example, printed circuit boards.

[0063] As shown in Figure 3 , at the producer end, the inspector 1 and the inspector 2 obtain the first data (for example, an excel file) and the second data (for example, a DB file, which is directly entered into the database through the production system ERP) of the batch of products, respectively. The first data and the second data can include production data, scrap data and electrical measurement data, etc. Among them, electrical measurement refers to the measurement of the electrical performance of the product during the production process. The batch of products after FQC at the producer side is packaged, warehoused and sent to the buyer. The buyer receives the goods through logistics, and then carries out the process of unloading, inspection, etc. The batch of products reaches the inspector 3, waiting for the inspection of the inspector 3.

[0064] As shown in Figure 3 , the first data and the second data are integrated by the quality department, and then uploaded to the storage unit 30 periodically. The acquisition unit 10 acquires the first data and the second data from the storage unit 30 periodically and transmits them to the control unit 20. The control unit 20 acquires the third data related to the past use records or past incoming inspection records of the product (for example, printed circuit board) in the database 300 periodically. The control unit 20 performs pre-inspection on the batch of products received by the buyer according to the first data, the second data and the third data, and then determines the quality grade of the batch of products. In addition, the determination result of the control unit 20 can be displayed on the display unit 40, so as to prompt the inspector 3 of the buyer to adopt which incoming inspection mode for the batch of products. The batch of products after inspection by the inspector 3 can carry out the warehousing process.

[0065] As shown in Figure 3 , the incoming inspection data of the past products can be transmitted to the database 300 for storage, so as to update the third data. The database 300 is, for example, SQL SERVER.

[0066] AsFigure 3 As shown, without system 1, the first data and the second data are periodically sent to the data role of the buyer by the quality role, the data is cleaned by the data role of the buyer (for example, data cleaning is performed based on data warehouse technology ETL, etc.), and the cleaned data and the data grabbed from database 300 (for example, every 4 hours, i.e., 4H / return) are all written into a data record table (for example, a file in excel format).

[0067] According to embodiment 1 of the present application, before the purchase of the product by the buyer of the product, the quality of a batch of products can be pre-detected according to the first data related to the production process of the batch of products, the second data obtained by performing factory detection on the batch of products, and the third data related to the past use record and / or the past incoming inspection record of the product.

[0068] Embodiment 2

[0069] Embodiment 2 of the present application provides a method for pre-detecting the quality of a product, which corresponds to system 1 for pre-detecting the quality of a product of embodiment 1.

[0070] Figure 4 is a schematic diagram of the method for pre-detecting the quality of a product of embodiment 2 of the present application. As Figure 4 shown, the method comprises:

[0071] Operation 401, obtaining first data related to the production process of a batch of products and second data obtained by performing factory detection on the batch of products; and

[0072] Operation 402, determining the quality grade of the batch of products according to the first data, the second data, and third data related to the past use record and / or the past incoming inspection record of the product.

[0073] Among them, operation 402 includes: comparing the first data and / or the second data with the elements extracted based on the third data, and determining the quality grade of the batch of products according to whether the first data or the second data has data matching the elements.

[0074] Among them, operation 402 can further include: comparing the factory quality unqualified rate in the second data with the pre-set incoming inspection unqualified rate for the product, and determining the quality grade of the batch of products according to the comparison result.

[0075] The operation 402 can further include determining the quality level of the batch of products according to a correspondence between a factory quality unqualified rate obtained from the factory detection of the products in the past and a material detection unqualified rate obtained from the material detection of the products in the past, and the second data.

[0076] Detailed descriptions of the operations of the method can refer to the descriptions of the components of the system of embodiment 1.

[0077] According to embodiment 2 of the present application, before the purchase party of the products performs the material detection on a batch of products, the quality of the batch of products can be pre-detected according to the first data related to the production process of the batch of products, the second data obtained from the factory detection of the batch of products, and the third data related to the past use record and / or past material detection record of the products.

[0078] The control unit described in combination with the embodiments of the present application can be directly embodied as hardware, a software module executed by a processor, or a combination of both. For example, one or more of the functional block diagrams shown in the drawings and / or a combination of one or more of the functional block diagrams can correspond to each software module of the computer program flow, and can also correspond to each hardware module. The software modules can correspond to the steps shown in embodiment 2, respectively. These hardware modules can be implemented by fixing the software modules by using a field programmable gate array (FPGA), for example.

[0079] The software modules can be located in a RAM memory, a flash memory, a ROM memory, an EPROM memory, an EEPROM memory, a register, a hard disk, a mobile disk, a CD-ROM, or any other form of storage medium known in the art. A storage medium can be coupled to the processor, so that the processor can read information from the storage medium and write information to the storage medium; or the storage medium can be an integral part of the processor. The processor and the storage medium can be located in an ASIC. The software modules can be stored in the memory of the mobile terminal, or in a memory card that can be inserted into the mobile terminal. For example, if the electronic device uses a MEGA-SIM card or a large-capacity flash memory device, the software modules can be stored in the MEGA-SIM card or the large-capacity flash memory device.

[0080] One or more of the functional blocks described in the block diagrams of the accompanying drawings and / or combinations of one or more of the functional blocks described in the block diagrams can be implemented as a general -purpose processor, a Digital Signal Processor (DSP), an Application-Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA) or other programmable logic device, discrete gate or transistor logic, discrete hardware components, or any appropriate combination thereof, for performing the functions described in this disclosure. One or more of the functional blocks described in the block diagrams of the accompanying drawings and / or combinations of one or more of the functional blocks described in the block diagrams can also be implemented as a combination of computing devices, such as a combination of a DSP and a microprocessor, multiple microprocessors, one or more microprocessors in conjunction with a DSP core, or any other such configuration.

[0081] The application has been described in conjunction with specific embodiments thereof, but those skilled in the art will appreciate that the description is intended to be illustrative, not limiting. Various modifications and changes can be made by those skilled in the art which will adapt the application to various usages and conditions, without departing from the spirit and scope of the application.

Claims

1. A system for pre-evaluating quality of a product, comprising: an acquisition unit configured to acquire first data related to a production process of a batch of products and second data obtained by performing a factory inspection on the batch of products; and a control unit configured to determine a quality level of the batch of products based on the first data, the second data, and third data related to a past use record and / or a past incoming inspection record of the product, the first data and the second data being obtained from a manufacturer of the product, and the third data being obtained from a purchaser of the product, the control unit including: a first inspection unit configured to compare the first data and / or the second data with an element extracted based on the third data, and determine the quality level of the batch of products based on whether the first data or the second data has data matching the element; and a second inspection unit configured to compare a factory quality failure rate in the second data with a predetermined incoming inspection failure rate for the product, and determine the quality level of the batch of products based on a comparison result, the third data including: a complaint record or a favorable comment record related to the product, and / or a product pass rate or a product failure rate obtained by the purchaser of the product when performing an incoming inspection on the product that has been purchased.

2. The system according to claim 1, wherein the system further includes: a storage unit configured to store the first data and the second data, the acquisition unit is configured to acquire the first data and the second data from the storage unit.

3. The system according to claim 1, wherein the control unit further includes: a third inspection unit configured to determine the quality level of the batch of products based on a correspondence between a factory quality failure rate obtained by a past factory inspection on the product and an incoming inspection failure rate obtained by a past incoming inspection on the product, and the second data.

4. The system according to claim 3, wherein the third inspection unit is configured to determine an incoming inspection failure rate corresponding to the factory quality failure rate in the second data based on the correspondence, and determine the quality level of the batch of products based on whether the corresponding incoming inspection failure rate falls within a predetermined incoming inspection failure rate range.

5. The system according to claim 1, wherein the first data includes: a production equipment operation parameter in the production process of the product, and / or an intermediate stage inspection equipment inspection condition, and / or an intermediate stage inspection equipment inspection data.

6. The system according to claim 1, wherein the system further includes: a display configured to display a determination result of the quality level of the batch of products by the control unit.

7. A method for pre-evaluating quality of a product, comprising: acquiring first data related to a production process of a batch of products and second data obtained by performing a factory inspection on the batch of products; and determining a quality level of the batch of products based on the first data, the second data, and third data related to a past use record and / or a past incoming inspection record of the product. ​ ​ The first data and the second data are from a manufacturing party of the product, and the third data is from a purchasing party of the product, The determining of the quality level of the batch of products comprises: comparing the first data and / or the second data with an element extracted based on the third data, and determining the quality level of the batch of products according to whether the first data or the second data has data matching the element; and comparing a factory quality unqualified rate in the second data with a pre-set incoming inspection unqualified rate for the product, and determining the quality level of the batch of products according to a comparison result, The third data comprises: complaint records or praise records related to the product, and / or a product qualified rate or unqualified rate obtained by the purchasing party of the product when performing incoming inspection on the product that has been purchased.

8. The method of claim 7, wherein The determining of the quality level of the batch of products comprises: determining the quality level of the batch of products according to a correspondence between a factory quality unqualified rate obtained by performing factory inspection on the product in the past and an incoming inspection unqualified rate obtained by performing incoming inspection on the product in the past, and the second data.

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