Product quality control standard determination method and device, equipment, medium and program product

Abstract

The embodiment of the invention provides a product quality control standard determination method and device, equipment, a medium and a program product. The method comprises the steps of determining a quality control standard generation rule for a to-be-determined product according to a produced quantity by obtaining the produced quantity of the to-be-determined product and product index data of the produced product, and calculating the product index data according to the quality control standard generation rule and the latest configuration value of configurable parameters contained in the quality control standard generation rule; and determining the quality control standard of the to-be-determined product in the production amount. Through the mode, the quality control standard can be automatically determined according to the product index data under the condition of different production quantities of products only by configuring the quality control standard generation rule into a computer program, manual calculation is not needed, and the quality control standard can be automatically iterated according to the change of the production quantities of the products, so that the generation efficiency of the quality control standard can be improved; and the overall quality control efficiency is improved.

Description

Technical Field

[0001] The present application relates to the field of product testing, and in particular to a method, device, equipment, medium and program product for determining a product's quality control standard. Background Art

[0002] Product quality control refers to the process of controlling product quality through a series of technologies and rules during the production process to ensure that product quality meets the predetermined standards. There may be multiple quality control standards for the same product, such as unified quality control standards within the industry or internal quality control standards set by the company according to its own needs.

[0003] The quality control of many products is a dynamic process, which requires constant changes in quality control standards to control product quality based on factors such as technology and demand. However, quality control standards usually need to be calculated manually based on factors such as the characteristics and production conditions of each product, which is inefficient. Summary of the invention

[0004] The embodiments of the present application provide a method, device, equipment, medium and program product for determining the quality control standard of a product, so as to improve the efficiency of determining the quality control standard.

[0005] In a first aspect, an embodiment of the present application provides a method for determining a quality control standard of a product, comprising:

[0006] Obtain the production quantity of the product to be determined and the product indicator data of the produced product;

[0007] Determine, according to the produced quantity, a quality control standard generation rule for the product to be determined, wherein different ranges of produced quantities correspond to different quality control standard generation rules;

[0008] Determine whether the quality control standard generation rule includes configurable parameters, and if so, obtain the latest configuration value of the configurable parameter;

[0009] The quality control standard for the product to be determined at the produced quantity is determined according to the latest configuration value, the quality control standard generation rule and the product indicator data.

[0010] In a possible implementation, the quality control standard generation rule includes a screening condition, and determining the quality control standard for the product to be determined at the produced volume according to the latest configuration value, the quality control standard generation rule, and the product indicator data includes:

[0011] Determining a target product that meets the screening condition from the produced products;

[0012] Calculating a first characteristic value based on the product indicator data of the target product;

[0013] A mathematical operation is performed on the first characteristic value and the latest configuration value to obtain a quality control standard for the product to be determined at the produced quantity.

[0014] In a possible implementation manner, the screening condition includes a first time condition, and determining the target product that meets the screening condition from all produced products includes:

[0015] Obtaining the production time of the produced product;

[0016] For any produced product, if the production time of the produced product meets the first time condition, the produced product is determined to be a target product.

[0017] In a possible implementation, the screening condition includes a first quantity threshold, and determining the target product that meets the screening condition from all produced products includes:

[0018] Determine a quantitative relationship between the produced quantity of the to-be-determined product and the first quantity threshold;

[0019] If the produced quantity is less than the first quantity threshold, selecting a second quantity of products from the produced products as target products;

[0020] If the produced quantity is not less than the first quantity threshold, a third quantity of products with the most recent production time is selected from the produced products as target products, and the third quantity is less than the first quantity threshold.

[0021] In a possible implementation manner, the first characteristic value is a combination of one or more of a mean value, a median, a mode, a variance and a standard deviation.

[0022] In a possible implementation, it further includes:

[0023] If the quality control standard generation rule does not include configurable parameters, the quality control standard for the product to be determined at the produced quantity is determined according to the quality control standard generation rule and the product indicator data.

[0024] In a possible implementation manner, after determining the quality control standard for the product to be determined at the produced quantity, the method further includes:

[0025] Storing the determined quality control standards, and recording the storage time and / or the production volume corresponding to the quality control standards;

[0026] In response to detecting a query request for a quality control standard, at least one quality control standard that meets a condition carried in the query request is output.

[0027] In a possible implementation, it further includes:

[0028] Detecting whether the storage time of the record meets the second time condition, and if so, updating the configurable parameter;

[0029] and / or,

[0030] It is detected whether the recorded produced quantity is not less than a fourth quantity threshold; if it is not less than the fourth quantity threshold, the configurable parameter is updated.

[0031] In a second aspect, an embodiment of the present application provides a device for determining a quality control standard of a product, comprising:

[0032] An acquisition module, used to acquire the production quantity of the product to be determined and the product index data of the produced product;

[0033] A rule determination module, used to determine, according to the produced quantity, a quality control standard generation rule for the product to be determined, wherein different ranges of produced quantities correspond to different quality control standard generation rules;

[0034] A configuration module, used to determine whether the quality control standard generation rule contains configurable parameters, and if so, to obtain the latest configuration value of the configurable parameter;

[0035] The standard determination module is used to determine the quality control standard for the product to be determined at the produced quantity according to the latest configuration value, the quality control standard generation rule and the product indicator data.

[0036] In a third aspect, an embodiment of the present application provides an electronic device, including: a memory, a processor;

[0037] The memory stores computer-executable instructions;

[0038] The processor executes the computer-executable instructions stored in the memory, so that the processor executes the above first aspect and / or various possible implementations of the first aspect.

[0039] In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium, in which computer-executable instructions are stored. When the computer-executable instructions are executed by a processor, they are used to implement the first aspect above and / or various possible implementations of the first aspect.

[0040] In a fifth aspect, an embodiment of the present application provides a computer program product, including a computer program, which, when executed by a processor, implements the above first aspect and / or various possible implementation methods of the first aspect.

[0041] The method, device, equipment, medium and program product for determining the quality control standard of the product provided in the embodiments of the present application can determine the quality control standard generation rules for the product to be determined according to the production volume by obtaining the production volume of the product to be determined and the product index data of the produced product, and can calculate the product index data according to the quality control standard generation rules and the latest configuration values ​​of the configurable parameters contained therein to determine the quality control standard of the product to be determined at the production volume. In this way, it is only necessary to configure the quality control standard generation rules into the computer program, so that the quality control standards can be automatically determined according to the product index data under different production volume conditions of the product without manual calculation. The quality control standards can be automatically iterated according to the changes in the product production volume, thereby improving the generation efficiency of the quality control standards and thus improving the overall quality control efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present application and, together with the description, serve to explain the principles of the present application.

[0043] Figure 1 A flowchart of a method for determining a quality control standard for a product provided in this application;

[0044] Figure 2 A schematic diagram of a process for calculating quality control standards provided for this application;

[0045] Figure 3 A schematic diagram of a process for determining a target product provided in this application;

[0046] Figure 4 A schematic diagram of another process for determining a target product provided for this application;

[0047] Figure 5 A flowchart of a quality control standard query provided for this application;

[0048] Figure 6 A schematic diagram of the structure of a device for determining a quality control standard for a product provided in this application;

[0049] Figure 7 A schematic diagram of the structure of an electronic device provided in this application.

[0050] The above drawings have shown clear embodiments of the present application, which will be described in more detail later. These drawings and text descriptions are not intended to limit the scope of the present application in any way, but to illustrate the concept of the present application to those skilled in the art by referring to specific embodiments. DETAILED DESCRIPTION

[0051] Exemplary embodiments will be described in detail herein, examples of which are shown in the accompanying drawings. When the following description refers to the drawings, the same numbers in different drawings represent the same or similar elements unless otherwise indicated. The implementations described in the following exemplary embodiments do not represent all implementations consistent with the present application. Instead, they are merely examples of devices and methods consistent with some aspects of the present application as detailed in the appended claims.

[0052] The terms "comprises", "includes" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, product or device including a series of elements includes not only those elements, but also includes other elements not explicitly listed, or also includes elements inherent to such process, method, product or device. In the absence of further restrictions, it is not excluded that there are other identical or equivalent elements in the process, method, product or device including the elements. For example, if the words first, second, etc. are used to indicate names, they do not indicate any particular order.

[0053] The technical solution of the present application and how the technical solution of the present application solves the above-mentioned technical problems are described in detail below with specific embodiments. The following specific embodiments can be combined with each other, and the same or similar concepts or processes may not be repeated in some embodiments. The embodiments of the present application will be described below in conjunction with the accompanying drawings.

[0054] Figure 1 A flow chart of the method for determining the quality control standards of the products provided in this application. Figure 1 As shown, the method includes:

[0055] S101. Obtain the production quantity of the product to be determined and product index data of the produced products.

[0056] The product to be determined may be a product for which quality control standards need to be formulated. The product index data may include indicators such as product size, weight or performance.

[0057] For example, for electronic products, the number of assembled electronic products can be obtained in real time, as well as indicator data such as the standby time of each electronic product under preset test conditions.

[0058] S102. Determine, based on the production volume, a quality control standard generation rule for the product to be determined.

[0059] Among them, the quality control standard generation rules corresponding to different ranges of production quantities are different.

[0060] Specifically, it can be determined whether the production volume of the product to be determined is greater than or equal to a preset threshold. If the production volume is less than the preset threshold, a characteristic value is selected from the indicator data as the product quality control standard; if the production volume is greater than or equal to the preset threshold, the indicator data is calculated according to the preset calculation rules to obtain the product quality control standard. The preset threshold can be customized.

[0061] Exemplarily, the preset threshold is 200, and the product indicator data is product weight. If the production volume of the product to be determined is less than 200 pieces, the maximum value can be selected from the product weights of all produced products as the quality control standard; if the production volume exceeds 200 pieces, the product weight can be calculated according to some calculation rules to obtain the quality control standard.

[0062] In some possible implementations, the quality control standard generation rule may include a unilateral control rule and a bilateral control rule. The bilateral control rule may indicate that the product to be determined has both an upper quality control limit and a lower quality control limit. The unilateral control rule may indicate that the product to be determined has one of an upper quality control limit and a lower quality control limit.

[0063] S103: Determine whether the quality control standard generation rule includes configurable parameters. If so, obtain the latest configuration value of the configurable parameter.

[0064] Among them, the configurable parameters can be pre-stored in the database and can be flexibly configured according to requirements.

[0065] S104: Determine the quality control standard for the product to be determined at the production volume according to the latest configuration value, quality control standard generation rules and product indicator data.

[0066] The quality control standard generation rules may include calculation rules such as calculating an average value or calculating a standard deviation. The latest configuration value may be combined with the calculated value obtained according to the quality control standard generation rules and product indicator data to obtain the quality control standard.

[0067] For example, if the product indicator data is product weight, and the latest configuration value is 5%, the average weight of all produced products can be calculated according to the quality control standard generation rule, and the difference between the product weight and the average value within 5% of the average value is used as the quality control standard. This example can be expressed by the following formula: (W ave -W1) / W ave ≤0.05, (W2-W ave ) / W ave ≤0.05. Among them, the quality control standard includes the lower limit W1 and the upper limit W2, W ave Represents the average product weight of all products produced.

[0068] For example, if the product indicator data is product weight and the latest configuration value is 5mg (milligram, weight unit), the average weight of all produced products can be calculated according to the quality control standard generation rule, and the difference between the average value and the latest configuration value is used as the quality control standard. Among them, the quality control standard includes the quality control lower limit W3 and the quality control upper limit W4, W3 = W ave -5mg, W4=W ave +5mg,W ave Represents the average product weight of all products produced.

[0069] In the above embodiment, by obtaining the production volume of the product to be determined and the product index data of the produced product, the quality control standard generation rules for the product to be determined can be determined according to the production volume, and the product index data can be calculated according to the quality control standard generation rules and the latest configuration values ​​of the configurable parameters contained therein to determine the quality control standard of the product to be determined at the production volume. In this way, by simply configuring the quality control standard generation rules into the computer program, the quality control standards can be automatically determined according to the product index data under different production volume conditions of the product without manual calculation. The quality control standards can be automatically iterated according to the changes in the product production volume, thereby improving the generation efficiency of the quality control standards and thus improving the overall quality control efficiency.

[0070] In one embodiment, the quality control standard generation rule includes screening conditions, such as Figure 2 As shown, according to the latest configuration value, quality control standard generation rules and product indicator data, the quality control standard for the product to be determined at the time of production is determined, including:

[0071] S201. Determine target products that meet screening conditions from produced products.

[0072] Exemplarily, the screening condition may be determined based on the production time or production batch of the product, etc. For example, each time the target product is determined based on the produced products, the three most recently produced batches of products may be selected as the target products.

[0073] S202: Calculate a first characteristic value based on product index data of the target product.

[0074] The first eigenvalue is a combination of one or more of the mean, median, mode, variance and standard deviation.

[0075] Exemplarily, the product indicator data is product weight, and the average value and standard deviation of the product weight of all target products can be calculated, and the average value and standard deviation are used as the first eigenvalue.

[0076] S203: Perform mathematical operations on the first characteristic value and the latest configuration value to obtain a quality control standard for the product to be determined when the production volume has been reached.

[0077] Exemplarily, the first characteristic value includes the mean value and standard deviation of the product index data of all target products. The product obtained by multiplying the latest configuration value by the standard deviation can be used as the error value, and then the mean value and the error value are added or subtracted according to the unilateral or bilateral control rule corresponding to the product to be determined to obtain the quality control standard of the product to be determined at the production volume. For example, the latest configuration value is 3, the mean value of the product index data of the target product is A, the standard deviation is B, and the product to be determined has only the lower limit of quality control as the quality control standard according to the unilateral control rule. If S1 is used to represent the lower limit of quality control, then S1 = A-3×B.

[0078] It can be understood that the above examples are only some possible implementations of this embodiment. In other examples, the median and standard deviation can be used as the first eigenvalue, and the median and the error value can be added or subtracted to obtain the quality control standard. Similar examples will not be repeated here.

[0079] In the above embodiment, some target products can be determined from all produced products through screening conditions such as product time data and production batches, and quality control standards can be determined based on the product indicator data of the target products, which can reduce the impact of factors such as production equipment on the quality control standard formulation process.

[0080] In one embodiment, the screening condition includes a first time condition, such as Figure 3 As shown, target products that meet the screening conditions are determined from all produced products, including:

[0081] S301, obtaining the production time of the produced products.

[0082] S302: For any produced product, if the production time of the produced product meets the first time condition, determine that the produced product is the target product.

[0083] Exemplarily, the first time condition is the latest 30 days, and the production time of each produced product can be traversed to determine the produced products with a production time within the latest 30 days as target products that meet the screening condition.

[0084] In one embodiment, the screening condition includes a first quantity threshold, such as Figure 4 As shown, target products that meet the screening conditions are determined from all produced products, including:

[0085] S401: Determine the quantitative relationship between the produced quantity of the product to be determined and a first quantity threshold.

[0086] S402: If the produced quantity is less than the first quantity threshold, select a second quantity of products from the produced products as target products.

[0087] The second quantity may be calculated based on the produced quantity and a preset proportionality coefficient.

[0088] For example, if the produced quantity is 200 and is less than the first quantity threshold, and the proportional coefficient is 0.8, the second quantity is 200×0.8=160, and 160 products can be randomly selected from the 200 produced products as target products.

[0089] For another example, if the produced quantity is 200 and is less than the first quantity threshold, and the proportional coefficient is 1, then all produced products may be selected as target products.

[0090] S403: If the produced quantity is not less than the first quantity threshold, select a third quantity of products with the most recent production time from the produced products as target products.

[0091] The third number is smaller than the first number threshold.

[0092] Exemplarily, the first quantity threshold is 501, and the third quantity is 500. The target product can be selected based on whether the production quantity of the product to be determined is greater than or equal to 501. If the production quantity is less than 501, all produced products will be used as target products. If the production quantity is greater than or equal to 501, the most recently produced 500 products can be selected from all produced products as target products.

[0093] In one embodiment, the method for determining the quality control standard of a product may further include:

[0094] If the quality control standard generation rule does not include configurable parameters, the quality control standard for the product to be determined at the production volume is determined according to the quality control standard generation rule and product indicator data.

[0095] For example, if the quality control standard generation rule does not contain configurable parameters, it can be determined whether the quality control rule of the product to be determined is a unilateral control rule or a bilateral control rule according to the quality control standard generation rule, and characteristic values ​​such as extreme values ​​can be selected from the product indicator data as the quality control standard according to the corresponding control rule.

[0096] In one embodiment, Figure 5 As shown, after determining the quality control standards for the product to be determined at the time of production, it also includes:

[0097] S501. Store the determined quality control standard, and record the storage time and / or the production volume corresponding to the quality control standard.

[0098] For example, after determining the quality control standard of the product at the time of production, the quality control standard can be stored according to a preset storage path, and the storage time can be recorded.

[0099] Exemplarily, if the quality control standard is stored according to a preset storage path, the production volume corresponding to the quality control standard can also be recorded.

[0100] S502: In response to detecting a query request for a quality control standard, output at least one quality control standard that meets a condition carried in the query request.

[0101] The query request carrying condition may correspond to at least one of the storage time and the produced quantity.

[0102] For example, a user may initiate a query request for quality control standards, and the query request may carry a condition of a specific date. Then, a search may be performed in the database based on the specific date, and quality control standards whose records have a storage time that is the same as or close to the specific date may be returned to the user.

[0103] Exemplarily, the query request may also carry a condition of a specific production volume, and a search may be performed in the database based on the production volume to return the recorded production volume with the same or similar quality control standards as the carried condition.

[0104] In some possible implementations, after storing the determined quality control standard, the method may further include: detecting whether the storage time of the record meets a second time condition, and if so, updating the configurable parameters.

[0105] Exemplarily, the second time condition is whether the storage time of the last record is more than one year from now. If it is more than one year, the configurable parameter can be updated.

[0106] In some possible implementations, after storing the determined quality control standard, the method may further include: detecting whether the recorded production volume is not less than a fourth quantity threshold, and if so, updating the configurable parameters.

[0107] Exemplarily, the fourth quantity threshold is 10,000, and if the last recorded produced quantity is greater than or equal to 10,000, the configurable parameter may be updated.

[0108] In some possible implementations, updating configurable parameters may be to improve quality control standards. For example, in one example, the original latest configuration value of the configurable parameter is 3, the average value of the product indicator data of the target product is A, the standard deviation is B, and the product to be determined has only a quality control lower limit as the quality control standard according to the unilateral control rule. If S1 is used to represent the quality control lower limit, then S1 = A-3×B. When updating the configurable parameters, the latest configuration value can be updated to 2, and the quality control standard can be calculated based on the updated configuration value, and a new quality control lower limit S1 = A-2×B can be obtained. It can be seen that the new quality control lower limit is smaller than the range before the update, so that the quality control lower limit can be improved.

[0109] In the actual production process, some products may require companies to appropriately relax quality control standards in the early stages of product production due to factors such as operators being unfamiliar with production equipment. When operators become proficient in operating production equipment, they can improve quality control standards; or companies hope to improve quality control standards after product production reaches a certain stage for reasons such as improving product competitiveness. In response to this situation, the method in the above embodiment is adopted to flexibly adjust quality control standards by setting the second time condition and / or the fourth quantity threshold to meet the needs of product manufacturers.

[0110] Figure 6 A schematic diagram of the structure of the device for determining the quality control standard of the product provided in this application, such as Figure 6 As shown, the device 600 for determining the quality control standard of a product provided in this embodiment may include:

[0111] The acquisition module 601 is used to acquire the production quantity of the product to be determined and the product index data of the produced product.

[0112] The rule determination module 602 is used to determine the quality control standard generation rules for the product to be determined according to the produced quantity, and the quality control standard generation rules corresponding to different ranges of produced quantities are different.

[0113] The configuration module 603 is used to determine whether the quality control standard generation rule contains configurable parameters, and if so, obtain the latest configuration value of the configurable parameter.

[0114] The standard determination module 604 is used to determine the quality control standard for the product to be determined at the produced volume according to the latest configuration value, the quality control standard generation rule and the product indicator data.

[0115] In one embodiment, the quality control standard generation rule includes screening conditions, and the standard determination module 604 may include:

[0116] The screening unit can be used to determine the target products that meet the screening conditions from the produced products.

[0117] The first calculation unit can be used to calculate a first characteristic value based on the product index data of the target product.

[0118] The second calculation unit can be used to perform mathematical operations on the first characteristic value and the latest configuration value to obtain a quality control standard for the product to be determined at the produced quantity.

[0119] In one embodiment, the screening condition includes a first time condition, and the screening unit is further used to: obtain the production time of the produced product; for any produced product, if the production time of the produced product meets the first time condition, determine that the produced product is a target product.

[0120] In one embodiment, the screening condition includes a first quantity threshold, and the screening unit is further used to: determine the quantitative relationship between the production quantity of the product to be determined and the first quantity threshold; if the production quantity is less than the first quantity threshold, select a second quantity of products from the produced products as target products; if the production quantity is not less than the first quantity threshold, select a third quantity of products with the most recent production time from the produced products as target products, and the third quantity is less than the first quantity threshold.

[0121] In one embodiment, the first eigenvalue is a combination of one or more of a mean, a median, a mode, a variance, and a standard deviation.

[0122] In one embodiment, the device 600 for determining the quality control standard of a product may include:

[0123] The first determination module can be used to determine the quality control standard for the product to be determined at the produced volume according to the quality control standard generation rule and the product indicator data when the quality control standard generation rule does not contain configurable parameters.

[0124] In one embodiment, the device 600 for determining the quality control standard of a product may include:

[0125] The storage module can be used to store the determined quality control standard and record the storage time and / or the production volume corresponding to the quality control standard.

[0126] The output module may be configured to, in response to detecting a query request for a quality control standard, output at least one quality control standard that satisfies a condition carried in the query request.

[0127] In one embodiment, the device 600 for determining the quality control standard of a product may include:

[0128] The first updating module may be used to detect whether the storage time of the record meets the second time condition, and if so, update the configurable parameter.

[0129] In one embodiment, the device 600 for determining the quality control standard of a product may include:

[0130] The second updating module may be used to detect whether the recorded produced quantity is not less than a fourth quantity threshold, and if it is not less than the fourth quantity threshold, update the configurable parameter.

[0131] The device for determining the quality control standard of a product provided in this embodiment is used to execute the technical solution in any of the aforementioned method embodiments. Its implementation principle and technical effects are similar and will not be repeated here.

[0132] It should be understood that the above device embodiments are only illustrative, and the device of the present invention can also be implemented in other ways. For example, the division of units / modules in the above embodiments is only a logical function division, and there may be other division methods in actual implementation. For example, multiple units, modules or components can be combined, or can be integrated into another system, or some features can be ignored or not executed.

[0133] In addition, unless otherwise specified, each functional unit / module in each embodiment of the present invention may be integrated into one unit / module, or each unit / module may exist physically separately, or two or more units / modules may be integrated together. The above-mentioned integrated unit / module may be implemented in the form of hardware or in the form of a software program module.

[0134] Figure 7 This is a schematic diagram of the structure of an electronic device provided in this application. Figure 7 The electronic device 70 includes:

[0135] Processor 71, memory 72, and communication interface 73;

[0136] The memory 72 is used to store executable instructions of the processor 71; the executable instructions may be computer-executable instructions;

[0137] The processor 71 is configured to execute the technical solution in any of the aforementioned method embodiments by executing the executable instructions.

[0138] Optionally, the memory 72 can be independent or integrated with the processor 71.

[0139] Optionally, when the memory 72 is a device independent of the processor 71, the electronic device 70 may further include:

[0140] The bus 74 , the memory 72 and the communication interface 73 are connected to the processor 71 via the bus 74 and communicate with each other. The communication interface 73 is used to communicate with other devices.

[0141] Optionally, the communication interface 73 may be implemented by a transceiver. The communication interface is used to implement communication between the database access device and other devices (such as a client, a read-write library, and a read-only library). The memory may include a random access memory (RAM) and may also include a non-volatile memory (non-volatile memory), such as at least one disk storage.

[0142] The bus 74 may be a peripheral component interconnect (PCI) bus or an extended industry standard architecture (EISA) bus, etc. The bus may be divided into an address bus, a data bus, a control bus, etc. For ease of representation, only one line is used in the figure, but it does not mean that there is only one bus or one type of bus.

[0143] The above-mentioned processor can be a general-purpose processor, including a central processing unit CPU, a network processor (NP), etc.; it can also be a digital signal processor DSP, an application-specific integrated circuit ASIC, a field programmable gate array FPGA or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components.

[0144] The electronic device is used to execute the technical solution in any of the aforementioned method embodiments, and its implementation principle and technical effect are similar and will not be repeated here.

[0145] The present application also provides a computer program product, including a computer program, which implements the above method when executed by a processor.

[0146] The present application also provides a computer-readable storage medium, in which computer-executable instructions are stored. When a processor executes the computer-executable instructions, the above method is implemented.

[0147] The above-mentioned readable storage medium can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic disk or optical disk. The readable storage medium can be any available medium that can be accessed by a general or special-purpose computer.

[0148] An exemplary readable storage medium is coupled to a processor so that the processor can read information from the readable storage medium and write information to the readable storage medium. Of course, the readable storage medium can also be a component of the processor. The processor and the readable storage medium can be located in an application specific integrated circuit (Application Specific Integrated Circuits, referred to as: ASIC). Of course, the processor and the readable storage medium can also exist in the device as discrete components.

[0149] The division of units is only a logical function division, and there may be other divisions in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be an indirect coupling or communication connection through some interface, device or unit, which can be electrical, mechanical or other forms.

[0150] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0151] In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit.

[0152] If the function is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application, or the part that contributes to the prior art or the part of the technical solution, can be embodied in the form of a software product, which is stored in a storage medium and includes several instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the various embodiments of the present application. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk, and other media that can store program codes.

[0153] Those skilled in the art can understand that all or part of the steps of implementing the above-mentioned method embodiments can be completed by hardware related to program instructions. The aforementioned program can be stored in a computer-readable storage medium. When the program is executed, the steps of the above-mentioned method embodiments are executed; and the aforementioned storage medium includes: ROM, RAM, disk or optical disk and other media that can store program codes.

[0154] Those skilled in the art will readily appreciate other embodiments of the present application after considering the specification and practicing the invention disclosed herein. The present application is intended to cover any modification, use or adaptation of the present application, which follows the general principles of the present application and includes common knowledge or customary techniques in the art that are not disclosed in the present application. The specification and examples are intended to be exemplary only, and the true scope and spirit of the present application are indicated by the following claims.

[0155] Finally, it should be noted that those skilled in the art will readily conceive of other embodiments of the present invention after considering the specification and practicing the invention disclosed herein. The present invention is intended to cover any variations, uses or adaptations of the present invention, which follow the general principles of the present invention and include common knowledge or customary technical means in the art not disclosed by the present invention, are not limited to the precise structure described above and shown in the drawings, and may be modified and changed in various ways without departing from the scope thereof. The scope of the present invention is limited only by the appended claims.

Claims

1. A method for determining a product quality control standard, characterized in that: include: Obtain the production quantity of the product to be determined and the product indicator data of the produced product; Determine, according to the produced quantity, a quality control standard generation rule for the product to be determined, wherein different ranges of produced quantities correspond to different quality control standard generation rules; Determine whether the quality control standard generation rule includes configurable parameters, and if so, obtain the latest configuration value of the configurable parameter; The quality control standard for the product to be determined at the produced quantity is determined according to the latest configuration value, the quality control standard generation rule and the product indicator data.

2. The method according to claim 1, characterized in that The quality control standard generation rule includes a screening condition, and the determining of the quality control standard for the product to be determined at the produced volume according to the latest configuration value, the quality control standard generation rule and the product indicator data includes: Determining a target product that meets the screening condition from the produced products; Calculating a first characteristic value based on the product indicator data of the target product; A mathematical operation is performed on the first characteristic value and the latest configuration value to obtain a quality control standard for the product to be determined at the produced quantity.

3. The method according to claim 2, characterized in that The screening condition includes a first time condition, and the step of determining a target product that meets the screening condition from all produced products includes: Obtaining the production time of the produced product; For any produced product, if the production time of the produced product meets the first time condition, the produced product is determined to be a target product.

4. The method according to claim 2, characterized in that The screening condition includes a first quantity threshold, and determining a target product that meets the screening condition from all produced products includes: Determine a quantitative relationship between the produced quantity of the to-be-determined product and the first quantity threshold; If the produced quantity is less than the first quantity threshold, selecting a second quantity of products from the produced products as target products; If the produced quantity is not less than the first quantity threshold, a third quantity of products with the most recent production time is selected from the produced products as target products, and the third quantity is less than the first quantity threshold.

5. The method according to any one of claims 2 to 4, characterized in that: The first eigenvalue is a combination of one or more of the following: mean, median, mode, variance and standard deviation.

6. The method according to any one of claims 1 to 4, characterized in that: Also includes: If the quality control standard generation rule does not include configurable parameters, the quality control standard for the product to be determined at the produced quantity is determined according to the quality control standard generation rule and the product indicator data.

7. The method according to any one of claims 1 to 4, characterized in that: After determining the quality control standard for the product to be determined at the produced quantity, the method further includes: Storing the determined quality control standards, and recording the storage time and / or the production volume corresponding to the quality control standards; In response to detecting a query request for a quality control standard, at least one quality control standard that meets a condition carried in the query request is output.

8. The method according to claim 7, characterized in that Also includes: Detecting whether the storage time of the record meets the second time condition, and if so, updating the configurable parameter; and / or, It is detected whether the recorded produced quantity is not less than a fourth quantity threshold; if it is not less than the fourth quantity threshold, the configurable parameter is updated.

9. A device for determining product quality control standards, characterized in that: include: An acquisition module, used to acquire the production quantity of the product to be determined and the product index data of the produced product; A rule determination module, used to determine, according to the produced quantity, a quality control standard generation rule for the product to be determined, wherein different ranges of produced quantities correspond to different quality control standard generation rules; A configuration module, used to determine whether the quality control standard generation rule contains configurable parameters, and if so, to obtain the latest configuration value of the configurable parameter; The standard determination module is used to determine the quality control standard for the product to be determined at the produced quantity according to the latest configuration value, the quality control standard generation rule and the product indicator data.

10. An electronic device, characterized in that: include: A processor, and a memory communicatively connected to the processor; The memory stores computer-executable instructions; The processor executes the computer-executable instructions stored in the memory to implement the method according to any one of claims 1 to 8.

11. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer-executable instructions, which are used to implement the method according to any one of claims 1 to 8 when executed by a processor.

12. A computer program product, characterized in that The invention comprises a computer program, which implements the method according to any one of claims 1 to 8 when being executed by a processor.

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