CN116611746A - Product quality management method based on industrial Internet - Google Patents
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Abstract
The invention relates to the technical field of product quality control, and discloses a product quality management method and device based on industrial Internet, comprising the following steps: dividing the production stage, obtaining a reference quality parameter set of the production stage b, constructing a quality evaluation relation based on the reference quality parameter set, obtaining a target product set of the production stage b, calculating an evaluation quality value of a z-th product in the target product set according to the quality evaluation relation, screening the target product set based on the evaluation quality value and a quality screening method to obtain a qualified product set, and calculating the qualification rate of the target product of the production stage b based on the number of the target products and the number of the qualified products. The invention can solve the problem of untimely and inaccurate monitoring of the product quality.
Description
Technical Field
The invention relates to the field of product monitoring, in particular to a product quality management method and device based on an industrial Internet.
Background
Along with the high-speed development of the internet, in order to meet the requirements of social development, the traditional industrial processing needs to innovate a processing method, the quality of a product can be influenced by the innovations of the processing method, and correspondingly, the timely observation of the change condition of the quality of the product is particularly important. In general, when the quality of the product is analyzed, the change of the quality of the product is combined with the prior art, so that the analysis effect of expressing the quality of the product can be realized simply and clearly. In particular to a product quality analysis method and an identification analysis technology.
Identification resolution techniques refer to the process of mapping object identifications to information required for an actual information service, such as addresses, items, spatial locations, etc. For example, by resolving the identity of an item, a server address storing information associated therewith may be obtained. The identification analysis is a technical process of 'information transformation' capable of accurately and efficiently acquiring information corresponding to the object identification in a complex network environment. The identification analysis technology can connect all production elements such as equipment, machines and materials in industry by establishing a unified identification system, and realizes the grasp of information such as sources, flowing processes and purposes of data by connecting the fractured data and application through the analysis system. And from the longitudinal direction, products, machines, workshops and factories can be opened, the data sharing among the scale and information systems of the bottom layer identification data is realized, and the identification data is analyzed and applied. From the transverse direction, the system can be transversely connected with own upstream and downstream enterprises, and data can be inquired as required by utilizing identification analysis; the medium and small enterprises can be transversely connected into a platform, and the data can be shared as required by utilizing identification analysis. From end to end, the full life cycle of design, manufacture, logistics and use can be opened, and real full life cycle management is realized.
The current analytical methods for product quality include: and obtaining the total number of products and the number of qualified products, calculating the qualification rate of the products based on the total number of products and the number of qualified products, and judging whether the products are qualified or not by comparing the qualification rate of the products with a preset reference qualification rate.
The method can analyze the quality of the product, but the problems of untimely and inaccurate monitoring of the quality of the product are caused by not considering the mutual influence between the steps of the product in the processing process and the product.
Disclosure of Invention
The invention provides a product quality management method and device based on an industrial Internet and a computer readable storage medium, and mainly aims to solve the problems of untimely and inaccurate monitoring of product quality.
In order to achieve the above object, the present invention provides a product quality management method based on industrial internet, comprising:
receiving a quality management instruction, acquiring a product production procedure based on the quality management instruction to obtain m product production procedures, wherein m is an integer greater than or equal to 1, dividing production stages of the product by the product production procedure to obtain one or more production stages;
obtaining a reference quality parameter set in a b production stage, wherein b is an integer which is less than or equal to m and more than or equal to 1, and the reference quality parameter set is as follows:
wherein ,for the reference quality parameter set, < >>Is the reference quality parameter set +.>Reference quality parameters and->For a data vector of q dimensions,>indicating that the reference quality parameter set contains +.>A plurality of reference quality parameters;
constructing an initial reference relation based on the reference quality parameter set, calculating the radius of the minimum hypersphere based on the initial reference relation, and constructing a quality assessment relation based on the radius of the minimum hypersphere, wherein the initial reference relation is as follows:
wherein ,for the initial reference relation->Is->Lagrangian multiplier>Is the sphere center of the minimum super sphere;
obtaining a target product set in the production stage b, calculating an evaluation quality value of a z-th product in the target product set according to the quality evaluation relation, and screening the target product set based on the evaluation quality value and a pre-constructed quality screening method to obtain a qualified product set;
obtaining the target product number and the qualified product number, wherein the target product number and the qualified product number are respectively the number of products contained in a target product set and a qualified product set, and calculating the target product qualification rate in the production stage b based on the target product number and the qualified product number;
and confirming that the product qualification rate in the b production stage reaches the standard according to the preset reference product qualification rate and target product qualification rate, and confirming that the product qualification rate reaches the standard according to the reference product qualification rate and the target product qualification rate after confirming that the b production stage is the production stage of the final product production process based on the m and b sizes, so as to realize the management of the product quality.
Optionally, the calculating the minimum hypersphere radius based on the initial reference relation includes:
constructing a target reference relation based on the initial reference relation, and calculating the minimum hypersphere radius according to the target reference relation;
the target reference relation is:
wherein ,representing the target reference relation->Representing the inner product of the variables->Is the reference quality parameter set +.>Reference quality parameters->Is->A Lagrangian multiplier;
the minimum hypersphere radius is:
wherein R is the minimum hypersphere radius.
Optionally, the quality assessment relation is:
wherein ,for quality evaluation relation, ++>Representing a step function +.>Is a data vector of the target quality parameter in the target quality parameter set and the target quality parameter is q dimension.
Optionally, the screening the target product set based on the evaluation quality value and the pre-constructed quality screening method to obtain a qualified product set includes:
acquiring a manufacturing process error of a b production stage, constructing a stage transfer error relational expression based on the manufacturing process error, and constructing a product quality target relational expression according to the stage transfer error relational expression;
sequentially extracting target products from the target product set, and executing the following operations on each extracted target product:
Calculating the rated quality value of the z-th product in the target product set according to the quality rated relational expression;
comparing the relation between the evaluation quality value and 1, and judging whether the z-th product in the target product set is a defective product or not;
if the evaluation quality value is equal to 1, the z-th product in the target product set is an initial defective product;
if the evaluation quality value is not equal to 1, the z-th product in the target product set is a first qualified product;
calculating the final quality of the initial defective product based on a product quality target relation, and confirming that the initial defective product is a second qualified product by utilizing the preset reference quality and the final quality;
and summarizing the first qualified products and the second qualified products to obtain a qualified product set.
Optionally, the phase transfer error relation is:
wherein ,indicate->Production phase->The phase transfer error relationship for each process feature,representing from->Stage of production to->Production phase->Mass transfer errors due to individual process characteristics, +.>Indicate->Manufacturing process errors during the production phase, +.>Is->Systematic errors in the production phase.
Optionally, the constructing a product quality target relation according to the phase transfer error relation includes:
constructing a product quality index relational expression according to the phase transfer error relational expression, and constructing a product quality target relational expression based on the product quality index relational expression;
The product quality index relation is as follows:
wherein ,indicate->Stage product->Product quality index relation of individual quality indexes, < ->Is->Production phase->Weight coefficient of each process feature, +.>Indicate->Random errors of production phase,/->，；
The product quality target relation is as follows:
wherein ,for the product quality target relation->Representing transformation relationship(s)>Indicate->Stage to the firstProduct at stage->Product quality index of individual quality index.
Optionally, the determining that the initial defective product is the second qualified product by using the preset reference quality and the final quality includes:
comparing the reference mass with the final mass;
if the final quality is smaller than the reference quality, prompting that the initial defective product is not the second qualified product;
and if the final quality is greater than or equal to the reference quality, confirming that the initial defective product is a second qualified product.
Optionally, after confirming that the b-th production stage is the production stage of the final product production process based on the m and b sizes, the method includes:
comparing the sizes of m and b;
if b is equal to m, confirming that the b production stage is the production stage of the last product production process;
if b is less than m, prompting to enter the (b+1) th production stage.
Optionally, the step of confirming that the product qualification rate in the b production stage meets the standard according to the preset reference product qualification rate and the target product qualification rate includes:
the calculation formula of the qualification rate of the target product is as follows:
wherein ,for the qualification rate of the target product, < > and->For the number of qualified products, < > for>The number of target products;
comparing the qualification rate of the reference product and the qualification rate of the target product;
if the qualification rate of the target product is greater than or equal to the qualification rate of the reference product, confirming that the qualification rate of the product in the production stage b reaches the standard;
if the qualification rate of the target product is smaller than the qualification rate of the reference product, prompting that the product in the production stage b is unqualified.
In order to solve the above problems, the present invention also provides an industrial internet-based product quality management apparatus, comprising:
the instruction receiving and stage dividing module is used for receiving a quality management instruction, acquiring a product production procedure based on the quality management instruction to obtain m product production procedures, wherein m is an integer greater than or equal to 1, and dividing the production stages of the product by the product production procedure to obtain one or more production stages;
the quality evaluation construction module is used for acquiring a reference quality parameter set in the production stage b, wherein b is an integer which is less than or equal to m and more than or equal to 1, and the reference quality parameter set is as follows:
wherein ,for the reference quality parameter set, < >>Is the reference quality parameter set +.>Reference quality parameters and->For a data vector of q dimensions,>indicating that the reference quality parameter set contains +.>A plurality of reference quality parameters;
constructing an initial reference relation based on the reference quality parameter set, calculating the radius of the minimum hypersphere based on the initial reference relation, and constructing a quality assessment relation based on the radius of the minimum hypersphere, wherein the initial reference relation is as follows:
wherein ,for the initial reference relation->Is->Lagrangian multiplier>Is the sphere center of the minimum super sphere;
the target product processing module is used for acquiring a target product set in the production stage b, calculating the evaluation quality value of the z-th product in the target product set according to the quality evaluation relation, and screening the target product set based on the evaluation quality value and a pre-constructed quality screening method to obtain a qualified product set;
the product quality evaluation module is used for acquiring the target product number and the qualified product number, wherein the target product number and the qualified product number are respectively the number of products contained in a target product set and a qualified product set, and the target product qualification rate in the production stage b is calculated based on the target product number and the qualified product number;
And confirming that the product qualification rate in the b production stage reaches the standard according to the preset reference product qualification rate and target product qualification rate, and confirming that the product qualification rate reaches the standard according to the reference product qualification rate and the target product qualification rate after confirming that the b production stage is the production stage of the final product production process based on the m and b sizes, so as to realize the management of the product quality.
In order to solve the above-mentioned problems, the present invention also provides an electronic apparatus including:
a memory storing at least one instruction; and
And the processor executes the instructions stored in the memory to realize the product quality management method based on the industrial Internet.
In order to solve the above problems, the present invention also provides a computer-readable storage medium having at least one instruction stored therein, the at least one instruction being executed by a processor in an electronic device to implement the above-described industrial internet-based product quality management method.
In order to solve the problems described in the background art, the embodiment of the invention receives a quality management instruction, obtains a product production procedure based on the quality management instruction, and divides production stages of a product by the product production procedure to obtain one or more production stages; therefore, the embodiment of the invention divides the production process of the product based on the production stage of the product, rather than simply considering the production result of the product, and lays a foundation for the subsequent stepwise analysis of the product. The method comprises the steps of obtaining a reference quality parameter set in a b production stage, constructing an initial reference relation based on the reference quality parameter set, calculating the radius of the minimum hypersphere based on the initial reference relation, and constructing a quality assessment relation based on the radius of the minimum hypersphere. Further, accuracy of product quality monitoring is improved. The target product set is screened based on the evaluation quality value and the pre-constructed quality screening method to obtain the qualified product set, and therefore the influence among the product production procedures is considered in the embodiment of the invention, and the target product set is further screened. And confirming that the product percent of pass of the b production stage reaches the standard according to the preset reference product percent of pass and target product percent of pass, and confirming that the product percent of pass reaches the standard according to the reference product percent of pass and the target product percent of pass after confirming that the b production stage is the production stage of the last product production procedure based on the m and b sizes. Therefore, the embodiment of the invention monitors the product quality in a staged way, and further improves the problem of untimely product quality monitoring. Therefore, the product quality management method, the device, the electronic equipment and the computer readable storage medium based on the industrial Internet can solve the problems of untimely and inaccurate monitoring of the product quality.
Drawings
FIG. 1 is a schematic flow chart of a product quality management method based on the industrial Internet according to an embodiment of the application;
FIG. 2 is a detailed flow chart of one of the steps shown in FIG. 1;
FIG. 3 is a detailed flow chart of another step of FIG. 1;
FIG. 4 is a functional block diagram of an industrial Internet-based product quality management apparatus according to an embodiment of the present application;
fig. 5 is a schematic structural diagram of an electronic device for implementing the product quality management method based on the industrial internet according to an embodiment of the present application.
The achievement of the objects, functional features and advantages of the present application will be further described with reference to the accompanying drawings, in conjunction with the embodiments.
Description of the embodiments
It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the application.
The embodiment of the application provides a product quality management method based on an industrial Internet. The execution subject of the product quality management method based on the industrial internet comprises, but is not limited to, at least one of a server, a terminal and the like which can be configured to execute the electronic equipment of the method provided by the embodiment of the application. In other words, the industrial internet-based product quality management method may be performed by software or hardware installed in a terminal device or a server device, and the software may be a blockchain platform. The service end includes but is not limited to: a single server, a server cluster, a cloud server or a cloud server cluster, and the like.
Referring to fig. 1, a flow chart of a product quality management method based on the industrial internet according to an embodiment of the invention is shown. In this embodiment, the product quality management method based on the industrial internet includes:
s1, receiving a quality management instruction, acquiring a product production procedure based on the quality management instruction, and obtaining m product production procedures, wherein m is an integer greater than or equal to 1, and dividing production stages of the product by the product production procedure to obtain one or more production stages.
It is understood that the product may undergo multiple steps during the manufacturing process to be processed into a finished product.
Quality management instructions are typically issued by quality management personnel. The product manufacturing process refers to a series of manufacturing activities that are arranged, organized, and controlled according to a certain program during the manufacture of the product. The production stage of the product is the production and manufacturing stage of the product. The production and manufacturing stage refers to processing and manufacturing raw materials according to design schemes and production technical requirements, and comprises a series of procedures of cutting, stamping, welding, polishing, painting, assembling and the like.
For example, when a certain industrial product a is manufactured, 9 working procedures are required to be carried out, the manufacturing process of the product a is divided into 9 production stages by using the 9 working procedures, wherein the stage where the product is in when the first working procedure is carried out is the first production stage.
S2, acquiring a reference quality parameter set in the production stage b, wherein b is an integer which is less than or equal to m and more than or equal to 1, constructing an initial reference relation based on the reference quality parameter set, calculating the minimum hypersphere radius based on the initial reference relation, and constructing a quality assessment relation based on the minimum hypersphere radius.
In detail, the reference quality parameter set is:
wherein ,for the reference quality parameter set, < >>Is the reference quality parameter set +.>Reference quality parameters and->For a data vector of q dimensions,>indicating that the reference quality parameter set contains +.>And a reference quality parameter.
It should be explained that the reference quality parameter set is the standard quality parameter set of the product at the b-th production stage. The standard quality parameter set is obtained from a qualified product set, and can also be generated in a divided qualified parameter range by using a random function. In addition, the reference quality parameter is related to the target quality of the product. The more the reference quality parameters in the reference quality parameter set are, the more accurate the initial reference relation constructed based on the reference quality parameter set is.
For example, a standard quality parameter set of a product of a certain batch of mechanical parts B in the 1 st production stage is obtained, wherein the standard quality parameter is a product quality parameter formed by product quality evaluation standard values based on dimensional errors, distance errors, shape errors, direction errors, position errors, runout errors, surface roughness and the like.
Further, the initial reference relation is:
wherein ,for the initial reference relation->Is->Lagrangian multiplier>Is the sphere center of the minimum hypersphere.
The calculating the minimum hypersphere radius based on the initial reference relation comprises:
constructing a target reference relation based on the initial reference relation, and calculating the minimum hypersphere radius according to the target reference relation;
the target reference relation is:
wherein ,representing the target reference relation->Representing the inner product of the variables->Is the reference quality parameter set +.>Reference quality parameters->Is->A Lagrangian multiplier;
the minimum hypersphere radius is:
wherein R is the minimum hypersphere radius.
The quality evaluation relational expression is as follows:
wherein ,for quality evaluation relation, ++>Representing a step function +.>Is a data vector of the target quality parameter in the target quality parameter set and the target quality parameter is q dimension.
It is understood that the minimum hypersphere is a sphere constructed based on a set of reference quality parameters, wherein all of the reference quality parameters in the set of reference quality parameters are inside or on the surface of the sphere and the radius of the sphere is the smallest. The target quality parameter is calculated by entering the quality parameter of a specific product when participating in calculation.
S3, obtaining a target product set in the production stage b, calculating an evaluation quality value of a z-th product in the target product set according to the quality evaluation relation, and screening the target product set based on the evaluation quality value and a pre-constructed quality screening method to obtain a qualified product set.
It should be explained that the target product set is the set of all products for quality management required in the b-th production stage. In addition, the quality evaluation relation is obtained based on fitting of the reference quality parameter set, so that the feasibility of the quality evaluation relation is related to the number and quality of the reference quality parameters in the reference quality parameter set. The quality rating value serves as a reference value for evaluating the quality of the product.
Further, calculating the quality-rated value of the z-th product in the target product set based on the quality-rated relation, classifying the products in the target product set in the b-th production stage based on only the quality-rated value is prone to errors. Therefore, there is a need to further screen products that do not meet the quality of the assessment.
In detail, referring to fig. 2, the screening the target product set based on the quality evaluation value and the pre-constructed quality screening method to obtain a qualified product set includes:
S31, acquiring a manufacturing process error of a b production stage, constructing a stage transfer error relational expression based on the manufacturing process error, and constructing a product quality target relational expression according to the stage transfer error relational expression;
sequentially extracting target products from the target product set, and executing the following operations on each extracted target product:
s32, calculating the evaluation quality value of the z-th product in the target product set according to the quality evaluation relation;
comparing the relation between the evaluation quality value and 1, and judging whether the z-th product in the target product set is a defective product or not;
s33, if the evaluation quality value is equal to 1, the z-th product in the target product set is an initial defective product;
s34, if the quality value is not equal to 1, the z-th product in the target product set is a first qualified product;
s35, calculating the final quality of the initial defective product based on a product quality target relation, and confirming that the initial defective product is a second qualified product by utilizing the preset reference quality and the final quality;
and summarizing the first qualified products and the second qualified products to obtain a qualified product set.
It will be appreciated that there are various errors in the manufacturing process of the product, and that for an initial defective product, the initial defective product temporarily fails to meet the assessment requirements in certain quality assessment parameters, but the initial defective product may improve the quality of the initial defective product due to errors in the subsequent manufacturing process, making it a good product. Therefore, it is necessary to classify the initial defective products. In addition, a change from a defective product to a qualified product is a small probability event, and thus, when calculating the final quality, a preset reference quality is required as a criterion for dividing the defective product.
Further, the phase transition error relation is:
wherein ,indicate->Production phase->The phase transfer error relationship for each process feature,representing from->Stage of production to->Production phase->Mass transfer errors due to individual process characteristics, +.>Indicate->Manufacturing process errors during the production phase, +.>Is->Systematic errors in the production phase.
It should be explained that the constructing the product quality target relation according to the phase transition error relation includes:
constructing a product quality index relational expression according to the phase transfer error relational expression, and constructing a product quality target relational expression based on the product quality index relational expression;
the product quality index relation is as follows:
wherein ,indicate->Stage product->Product quality index relation of individual quality indexes, < ->Is->Production phase->Weight coefficient of each process feature, +.>Indicate->Random errors of production phase,/->，；
The product quality target relation is as follows:
wherein ,for the product quality target relation->Representing transformation relationship(s)>Indicate->Stage to the firstProduct at stage->Product quality index of individual quality index.
It should be noted that from the first Stage of production to->During the production phase, it is possible that the following->Production phase->The individual process features lead to a product at +.>Errors are generated during processing in the production stage, and the conversion relation between the product quality index relational expressions is not only a simple accumulation relation, but also needs to be analyzed according to specific product quality indexes. Only +.>The conversion relation is represented by a simplified product quality target relation.
Further, the determining that the initial defective product is the second qualified product by using the preset reference quality and the final quality includes:
comparing the reference mass with the final mass;
if the final quality is smaller than the reference quality, prompting that the initial defective product is not the second qualified product;
and if the final quality is greater than or equal to the reference quality, confirming that the initial defective product is a second qualified product.
S4, obtaining the target product number and the qualified product number, wherein the target product number and the qualified product number are respectively the number of products contained in a target product set and a qualified product set, and calculating the target product qualification rate in the production stage b based on the target product number and the qualified product number.
Illustratively, the number of target products in the production stage b is 100, wherein the number of qualified products in the target products is 90, and the qualification rate of the target products in the production stage b is calculated to be 90%.
S5, confirming that the product percent of pass of the b production stage reaches the standard according to the preset reference product percent of pass and target product percent of pass, and confirming that the product percent of pass reaches the standard according to the reference product percent of pass and the target product percent of pass after confirming that the b production stage is the production stage of the last product production procedure based on the m and b sizes, so as to realize the management of the product quality.
In detail, referring to fig. 3, the step of determining that the product qualification rate in the b-th production stage meets the standard according to the preset reference product qualification rate and the target product qualification rate includes:
the calculation formula of the qualification rate of the target product is as follows:
wherein ,for the qualification rate of the target product, < > and->For the number of qualified products, < > for>The number of target products;
s51, comparing the qualification rate of the reference product and the qualification rate of the target product;
s52, if the qualification rate of the target product is greater than or equal to the qualification rate of the reference product, confirming that the qualification rate of the product in the production stage b meets the standard;
and S53, if the qualification rate of the target product is smaller than the qualification rate of the reference product, prompting that the product in the production stage b is unqualified.
Further, after confirming that the b-th production stage is the production stage of the final product production process based on the m and b sizes, the method comprises the following steps:
Comparing the sizes of m and b;
if b is equal to m, confirming that the b production stage is the production stage of the last product production process;
if b is less than m, prompting to enter the (b+1) th production stage.
Further, when quality management is performed on products based on the industrial Internet, quality management can be performed on multiple products and multiple products at the same time. Alternatively, by performing identification analysis on different types and numbers of products, various and multiple products are managed in real time, and the qualification rate of the products in a certain production stage is obtained.
For example, when quality management is performed on products based on the industrial Internet, 3 products are managed simultaneously, and 3 products are identified as an A product, a B product and a C product by using an identification analysis technology, wherein 3 products are provided for the A product, 4 products are provided for the B product and 5 products are provided for the C product. The production procedures of the product A are 6, the production procedures of the product B are 8, and the production procedures of the product C are 10. The first product in the A products can be identified as the following step 2 by the identification analysis technology: the second product in the A-1-2 and B products is identified as B-2-2 in the second procedure. Other kinds of products can produce the same effect when marked, and are not described herein. In addition, the identification analysis technology can be used for concisely and clearly representing a certain production process stage of a certain product, the qualification rate of the product can be expressed in the production process of the product, and the qualification rate can be used for evaluating whether each production step of the product is qualified or not by enterprises.
It is understood that when the product is in a production stage other than the last production process, the product yield cannot meet the preset reference product yield, and the damage should be timely stopped. And (3) improving factors which possibly affect the product quality, such as the processing flow and the processing technology of the product, based on prompting that the product in the production stage b is unqualified, until the preset product qualification rate can be met. The product production process of the product industrial product A is 10, the target product qualification rate in the 6 th production stage is calculated to be 98%, the sizes of 6 and 10 are compared, the 6 th process is confirmed to be not the last process, the target product qualification rate is compared to be 98% and the preset reference product qualification rate is 95%, the product qualification rate in the 6 th production stage is confirmed to reach the standard, and the 7 th production stage is prompted to enter. And if the preset reference product qualification rate is 99%, prompting that the product in the 6 th production stage is unqualified. In addition, if the target product qualification rate in the 10 th production stage is 98% through calculation, the 10 th production stage is confirmed to be the production stage of the last product production procedure, 98% of the target product qualification rate is compared with the preset reference product qualification rate of 95%, and the product qualification rate in the 10 th production stage is confirmed to reach the standard.
In order to solve the problems described in the background art, the embodiment of the invention receives a quality management instruction, obtains a product production procedure based on the quality management instruction, and divides production stages of a product by the product production procedure to obtain one or more production stages; therefore, the embodiment of the invention divides the production process of the product based on the production stage of the product, rather than simply considering the production result of the product, and lays a foundation for the subsequent stepwise analysis of the product. The method comprises the steps of obtaining a reference quality parameter set in a b production stage, constructing an initial reference relation based on the reference quality parameter set, calculating the radius of the minimum hypersphere based on the initial reference relation, and constructing a quality assessment relation based on the radius of the minimum hypersphere. Further, accuracy of product quality monitoring is improved. The target product set is screened based on the evaluation quality value and the pre-constructed quality screening method to obtain the qualified product set, and therefore the influence among the product production procedures is considered in the embodiment of the invention, and the target product set is further screened. And confirming that the product percent of pass of the b production stage reaches the standard according to the preset reference product percent of pass and target product percent of pass, and confirming that the product percent of pass reaches the standard according to the reference product percent of pass and the target product percent of pass after confirming that the b production stage is the production stage of the last product production procedure based on the m and b sizes. Therefore, the embodiment of the invention monitors the product quality in a staged way, and further improves the problem of untimely product quality monitoring. Therefore, the product quality management method, the device, the electronic equipment and the computer readable storage medium based on the industrial Internet can solve the problems of untimely and inaccurate monitoring of the product quality.
Fig. 2 is a functional block diagram of an industrial internet-based product quality management apparatus according to an embodiment of the present invention.
The industrial internet-based product quality management apparatus 100 of the present invention may be installed in an electronic device. Depending on the functions implemented, the industrial internet-based product quality management apparatus 100 may include an instruction receiving and staging module 101, a quality assessment building module 102, a target product processing module 103, and a product quality assessment module 104. The module of the invention, which may also be referred to as a unit, refers to a series of computer program segments, which are stored in the memory of the electronic device, capable of being executed by the processor of the electronic device and of performing a fixed function.
The instruction receiving and stage dividing module 101 is configured to receive a quality management instruction, obtain a product production process based on the quality management instruction, obtain m product production processes, where m is an integer greater than or equal to 1, and divide a production stage of a product by using the product production process to obtain one or more production stages;
the quality evaluation construction module 102 is configured to obtain a reference quality parameter set in a b-th production stage, where b is an integer less than or equal to m and greater than or equal to 1, and the reference quality parameter set is:
wherein ,for the reference quality parameter set, < >>Is the reference quality parameter set +.>Reference quality parameters and->For a data vector of q dimensions,>indicating that the reference quality parameter set contains +.>A plurality of reference quality parameters;
constructing an initial reference relation based on the reference quality parameter set, calculating the radius of the minimum hypersphere based on the initial reference relation, and constructing a quality assessment relation based on the radius of the minimum hypersphere, wherein the initial reference relation is as follows:
wherein ,for the initial reference relation->Is->Lagrangian multiplier>Is the sphere center of the minimum super sphere;
the target product processing module 103 is configured to obtain a target product set in the b-th production stage, calculate an evaluation quality value of a z-th product in the target product set according to the quality evaluation relationship, and screen the target product set based on the evaluation quality value and a pre-constructed quality screening method to obtain a qualified product set;
the product quality evaluation module 104 is configured to obtain the target product number and the qualified product number, where the target product number and the qualified product number are the number of products included in the target product set and the qualified product set, and calculate a target product qualification rate in the production stage b based on the target product number and the qualified product number;
And confirming that the product qualification rate in the b production stage reaches the standard according to the preset reference product qualification rate and target product qualification rate, and confirming that the product qualification rate reaches the standard according to the reference product qualification rate and the target product qualification rate after confirming that the b production stage is the production stage of the final product production process based on the m and b sizes, so as to realize the management of the product quality.
Fig. 5 is a schematic structural diagram of an electronic device for implementing a product quality management method based on the industrial internet according to an embodiment of the present invention.
The electronic device 1 may comprise a processor 10, a memory 11 and a bus, and may further comprise a computer program stored in the memory 11 and executable on the processor 10, such as an industrial internet based product quality management method program 12.
The memory 11 includes at least one type of readable storage medium, including flash memory, a mobile hard disk, a multimedia card, a card memory (e.g., SD or DX memory, etc.), a magnetic memory, a magnetic disk, an optical disk, etc. The memory 11 may in some embodiments be an internal storage unit of the electronic device 1, such as a removable hard disk of the electronic device 1. The memory 11 may in other embodiments also be an external storage device of the electronic device 1, such as a plug-in mobile hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card) or the like, which are provided on the electronic device 1. Further, the memory 11 may also include both an internal storage unit and an external storage device of the electronic device 1. The memory 11 may be used not only for storing application software installed in the electronic device 1 and various types of data, such as codes of the industrial internet-based product quality management method program 12, but also for temporarily storing data that has been output or is to be output.
The processor 10 may be comprised of integrated circuits in some embodiments, for example, a single packaged integrated circuit, or may be comprised of multiple integrated circuits packaged with the same or different functions, including one or more central processing units (Central Processing unit, CPU), microprocessors, digital processing chips, graphics processors, combinations of various control chips, and the like. The processor 10 is a Control Unit (Control Unit) of the electronic device, connects respective parts of the entire electronic device using various interfaces and lines, executes or executes programs or modules (for example, product quality management method programs based on the industrial internet, etc.) stored in the memory 11, and invokes data stored in the memory 11 to perform various functions of the electronic device 1 and process data.
The bus may be a peripheral component interconnect standard (peripheral component interconnect, PCI) bus or an extended industry standard architecture (extended industry standard architecture, EISA) bus, among others. The bus may be classified as an address bus, a data bus, a control bus, etc. The bus is arranged to enable a connection communication between the memory 11 and at least one processor 10 etc.
Fig. 5 shows only an electronic device with components, it being understood by a person skilled in the art that the structure shown in fig. 5 does not constitute a limitation of the electronic device 1, and may comprise fewer or more components than shown, or may combine certain components, or may be arranged in different components.
For example, although not shown, the electronic device 1 may further include a power source (such as a battery) for supplying power to each component, and preferably, the power source may be logically connected to the at least one processor 10 through a power management device, so that functions of charge management, discharge management, power consumption management, and the like are implemented through the power management device. The power supply may also include one or more of any of a direct current or alternating current power supply, recharging device, power failure detection circuit, power converter or inverter, power status indicator, etc. The electronic device 1 may further include various sensors, bluetooth modules, wi-Fi modules, etc., which will not be described herein.
Further, the electronic device 1 may also comprise a network interface, optionally the network interface may comprise a wired interface and/or a wireless interface (e.g. WI-FI interface, bluetooth interface, etc.), typically used for establishing a communication connection between the electronic device 1 and other electronic devices.
The electronic device 1 may optionally further comprise a user interface, which may be a Display, an input unit, such as a Keyboard (Keyboard), or a standard wired interface, a wireless interface. Alternatively, in some embodiments, the display may be an LED display, a liquid crystal display, a touch-sensitive liquid crystal display, an OLED (Organic Light-Emitting Diode) touch, or the like. The display may also be referred to as a display screen or display unit, as appropriate, for displaying information processed in the electronic device 1 and for displaying a visual user interface.
It should be understood that the embodiments described are for illustrative purposes only and are not limited to this configuration in the scope of the patent application.
The product quality management method program 12 based on the industrial internet stored in the memory 11 in the electronic device 1 is a combination of a plurality of instructions, which when executed in the processor 10, can implement:
receiving a quality management instruction, acquiring a product production procedure based on the quality management instruction to obtain m product production procedures, wherein m is an integer greater than or equal to 1, dividing production stages of the product by the product production procedure to obtain one or more production stages;
Obtaining a reference quality parameter set in a b production stage, wherein b is an integer which is less than or equal to m and more than or equal to 1, and the reference quality parameter set is as follows:
wherein ,for the reference quality parameter set, < >>Is the reference quality parameter set +.>Reference quality parameters and->For a data vector of q dimensions,>indicating that the reference quality parameter set contains +.>A plurality of reference quality parameters;
constructing an initial reference relation based on the reference quality parameter set, calculating the radius of the minimum hypersphere based on the initial reference relation, and constructing a quality assessment relation based on the radius of the minimum hypersphere, wherein the initial reference relation is as follows:
wherein ,for the initial reference relation->Is->Lagrangian multiplier>Is the sphere center of the minimum super sphere;
obtaining a target product set in the production stage b, calculating an evaluation quality value of a z-th product in the target product set according to the quality evaluation relation, and screening the target product set based on the evaluation quality value and a pre-constructed quality screening method to obtain a qualified product set;
obtaining the target product number and the qualified product number, wherein the target product number and the qualified product number are respectively the number of products contained in a target product set and a qualified product set, and calculating the target product qualification rate in the production stage b based on the target product number and the qualified product number;
And confirming that the product qualification rate in the b production stage reaches the standard according to the preset reference product qualification rate and target product qualification rate, and confirming that the product qualification rate reaches the standard according to the reference product qualification rate and the target product qualification rate after confirming that the b production stage is the production stage of the final product production process based on the m and b sizes, so as to realize the management of the product quality.
Specifically, the specific implementation method of the above instructions by the processor 10 may refer to descriptions of related steps in the corresponding embodiments of fig. 1 to 5, which are not repeated herein.
Further, the modules/units integrated in the electronic device 1 may be stored in a computer readable storage medium if implemented in the form of software functional units and sold or used as separate products. The computer readable storage medium may be volatile or nonvolatile. For example, the computer readable medium may include: any entity or device capable of carrying the computer program code, a recording medium, a U disk, a removable hard disk, a magnetic disk, an optical disk, a computer Memory, a Read-Only Memory (ROM).
The present invention also provides a computer readable storage medium storing a computer program which, when executed by a processor of an electronic device, can implement:
Receiving a quality management instruction, acquiring a product production procedure based on the quality management instruction to obtain m product production procedures, wherein m is an integer greater than or equal to 1, dividing production stages of the product by the product production procedure to obtain one or more production stages;
obtaining a reference quality parameter set in a b production stage, wherein b is an integer which is less than or equal to m and more than or equal to 1, and the reference quality parameter set is as follows:
wherein ,for the reference quality parameter set, < >>Is the reference quality parameter set +.>Reference quality parameters and->For a data vector of q dimensions,>indicating that the reference quality parameter set contains +.>Reference massParameters;
constructing an initial reference relation based on the reference quality parameter set, calculating the radius of the minimum hypersphere based on the initial reference relation, and constructing a quality assessment relation based on the radius of the minimum hypersphere, wherein the initial reference relation is as follows:
wherein ,for the initial reference relation->Is->Lagrangian multiplier>Is the sphere center of the minimum super sphere;
obtaining a target product set in the production stage b, calculating an evaluation quality value of a z-th product in the target product set according to the quality evaluation relation, and screening the target product set based on the evaluation quality value and a pre-constructed quality screening method to obtain a qualified product set;
Obtaining the target product number and the qualified product number, wherein the target product number and the qualified product number are respectively the number of products contained in a target product set and a qualified product set, and calculating the target product qualification rate in the production stage b based on the target product number and the qualified product number;
and confirming that the product qualification rate in the b production stage reaches the standard according to the preset reference product qualification rate and target product qualification rate, and confirming that the product qualification rate reaches the standard according to the reference product qualification rate and the target product qualification rate after confirming that the b production stage is the production stage of the final product production process based on the m and b sizes, so as to realize the management of the product quality.
In the several embodiments provided in the present invention, it should be understood that the disclosed apparatus, device and method may be implemented in other manners. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the modules is merely a logical function division, and there may be other manners of division when actually implemented.
The modules described as separate components may or may not be physically separate, and components shown as modules may or may not be physical units, may be located in one place, or may be distributed over multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional module in the embodiments of the present invention may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units can be realized in a form of hardware or a form of hardware and a form of software functional modules.
It will be evident to those skilled in the art that the invention is not limited to the details of the foregoing illustrative embodiments, and that the present invention may be embodied in other specific forms without departing from the spirit or essential characteristics thereof.
The present embodiments are, therefore, to be considered in all respects as illustrative and not restrictive, the scope of the invention being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any reference signs in the claims shall not be construed as limiting the claim concerned.
The blockchain is a novel application mode of computer technologies such as distributed data storage, point-to-point transmission, consensus mechanism, encryption algorithm and the like. The Blockchain (Blockchain), which is essentially a decentralised database, is a string of data blocks that are generated by cryptographic means in association, each data block containing a batch of information of network transactions for verifying the validity of the information (anti-counterfeiting) and generating the next block. The blockchain may include a blockchain underlying platform, a platform product services layer, an application services layer, and the like.
Furthermore, it is evident that the word "comprising" does not exclude other elements or steps, and that the singular does not exclude a plurality. A plurality of units or means recited in the system claims can also be implemented by means of software or hardware by means of one unit or means. The terms second, etc. are used to denote a name, but not any particular order.
Finally, it should be noted that the above-mentioned embodiments are merely for illustrating the technical solution of the present invention and not for limiting the same, and although the present invention has been described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that modifications and equivalents may be made to the technical solution of the present invention without departing from the spirit and scope of the technical solution of the present invention.
Claims (10)
1. A method for product quality management based on the industrial internet, the method comprising:
receiving a quality management instruction, acquiring a product production procedure based on the quality management instruction to obtain m product production procedures, wherein m is an integer greater than or equal to 1, dividing production stages of the product by the product production procedure to obtain one or more production stages;
obtaining a reference quality parameter set in a b production stage, wherein b is an integer which is less than or equal to m and more than or equal to 1, and the reference quality parameter set is as follows: ；
wherein ,for the reference quality parameter set, < >>Is the reference quality parameter set +.>Reference quality parameters and->For a data vector of q dimensions,>indicating that the reference quality parameter set contains +.>A plurality of reference quality parameters;
constructing an initial reference relation based on the reference quality parameter set, calculating the radius of the minimum hypersphere based on the initial reference relation, and constructing a quality assessment relation based on the radius of the minimum hypersphere, wherein the initial reference relation is as follows:；
wherein ,for the initial reference relation->Is->Lagrangian multiplier>Is the sphere center of the minimum super sphere;
obtaining a target product set in the production stage b, calculating an evaluation quality value of a z-th product in the target product set according to the quality evaluation relation, and screening the target product set based on the evaluation quality value and a pre-constructed quality screening method to obtain a qualified product set;
obtaining the target product number and the qualified product number, wherein the target product number and the qualified product number are respectively the number of products contained in a target product set and a qualified product set, and calculating the target product qualification rate in the production stage b based on the target product number and the qualified product number;
and confirming that the product qualification rate in the b production stage reaches the standard according to the preset reference product qualification rate and target product qualification rate, and confirming that the product qualification rate reaches the standard according to the reference product qualification rate and the target product qualification rate after confirming that the b production stage is the production stage of the final product production process based on the m and b sizes, so as to realize the management of the product quality.
2. The industrial internet-based product quality management method of claim 1, wherein the calculating the minimum hypersphere radius based on the initial reference relation comprises:
constructing a target reference relation based on the initial reference relation, and calculating the minimum hypersphere radius according to the target reference relation;
the target reference relation is:；
wherein ,representing the target reference relation->Representing the inner product of the variables->Is the reference quality parameter set +.>Reference quality parameters->Is->A Lagrangian multiplier;
the minimum hypersphere radius is:；
wherein R is the minimum hypersphere radius.
3. The industrial internet-based product quality management method of claim 1, wherein the quality assessment relation is:；
wherein ,for quality evaluation relation, ++>Representing a step function +.>Is a data vector of the target quality parameter in the target quality parameter set and the target quality parameter is q dimension.
4. The method for product quality management based on industrial internet according to claim 1, wherein the screening the target product set based on the rating quality value and the pre-constructed quality screening method to obtain a qualified product set comprises:
Acquiring a manufacturing process error of a b production stage, constructing a stage transfer error relational expression based on the manufacturing process error, and constructing a product quality target relational expression according to the stage transfer error relational expression;
sequentially extracting target products from the target product set, and executing the following operations on each extracted target product:
calculating the rated quality value of the z-th product in the target product set according to the quality rated relational expression;
comparing the relation between the evaluation quality value and 1, and judging whether the z-th product in the target product set is a defective product or not;
if the evaluation quality value is equal to 1, the z-th product in the target product set is an initial defective product;
if the evaluation quality value is not equal to 1, the z-th product in the target product set is a first qualified product;
calculating the final quality of the initial defective product based on a product quality target relation, and confirming that the initial defective product is a second qualified product by utilizing the preset reference quality and the final quality;
and summarizing the first qualified products and the second qualified products to obtain a qualified product set.
5. The industrial internet-based product quality management method of claim 4, wherein the phase transfer error relationship is:；
wherein ,Indicate->Production phase->Stage transfer error relation of individual process features, +.>Representing from->Stage of production to->Production phase->Mass transfer errors due to individual process characteristics, +.>Indicate->Manufacturing process errors during the production phase, +.>Is->Systematic errors in the production phase.
6. The method for product quality management based on the industrial internet as claimed in claim 4, wherein the constructing a product quality target relation based on the phase transition error relation comprises:
constructing a product quality index relational expression according to the phase transfer error relational expression, and constructing a product quality target relational expression based on the product quality index relational expression;
the product quality index relation is as follows:；
wherein ,indicate->Stage product->Product quality index relation of individual quality indexes, < ->Is->Production phase->Weight coefficient of each process feature, S b Indicate->Random errors in the production phase are used to determine,；
the product quality target relation is as follows:；
wherein ,for the product quality target relation->Representing transformation relationship(s)>Indicate->Stage to->Product at stage->Product quality index of individual quality index.
7. The industrial internet-based product quality management method of claim 4, wherein the determining the initial defective product as the second acceptable product using the preset reference quality and the final quality comprises:
Comparing the reference mass with the final mass;
if the final quality is smaller than the reference quality, prompting that the initial defective product is not the second qualified product;
and if the final quality is greater than or equal to the reference quality, confirming that the initial defective product is a second qualified product.
8. The industrial internet-based product quality management method according to claim 1, wherein the confirming that the b-th production stage is a production stage of the last product production process based on the m and b sizes comprises:
comparing the sizes of m and b;
if b is equal to m, confirming that the b production stage is the production stage of the last product production process;
if b is less than m, prompting to enter the (b+1) th production stage.
9. The industrial internet-based product quality management method of claim 1, wherein the step of confirming that the product yield in the b-th production stage meets the standard according to the preset reference product yield and the target product yield comprises:
the calculation formula of the qualification rate of the target product is as follows:；
wherein ,for the qualification rate of the target product, < > and->For the number of qualified products, < > for>The number of target products;
comparing the qualification rate of the reference product and the qualification rate of the target product;
if the qualification rate of the target product is greater than or equal to the qualification rate of the reference product, confirming that the qualification rate of the product in the production stage b reaches the standard;
If the qualification rate of the target product is smaller than the qualification rate of the reference product, prompting that the product in the production stage b is unqualified.
10. An industrial internet-based product quality management apparatus, the apparatus comprising:
the instruction receiving and stage dividing module is used for receiving a quality management instruction, acquiring a product production procedure based on the quality management instruction to obtain m product production procedures, wherein m is an integer greater than or equal to 1, and dividing the production stages of the product by the product production procedure to obtain one or more production stages;
the quality evaluation construction module is used for acquiring a reference quality parameter set in the production stage b, wherein b is an integer which is less than or equal to m and more than or equal to 1, and the reference quality parameter set is as follows:；
wherein ,for the reference quality parameter set, < >>Is the reference quality parameter set +.>Reference quality parameters and->For a data vector of q dimensions,>indicating that the reference quality parameter set contains +.>A plurality of reference quality parameters;
constructing an initial reference relation based on the reference quality parameter set, calculating the radius of the minimum hypersphere based on the initial reference relation, and constructing a quality assessment relation based on the radius of the minimum hypersphere, wherein the initial reference relation is as follows: ；
wherein ,for the initial reference relation->Is->Lagrangian multiplier>Is the sphere center of the minimum super sphere;
the target product processing module is used for acquiring a target product set in the production stage b, calculating the evaluation quality value of the z-th product in the target product set according to the quality evaluation relation, and screening the target product set based on the evaluation quality value and a pre-constructed quality screening method to obtain a qualified product set;
the product quality evaluation module is used for acquiring the target product number and the qualified product number, wherein the target product number and the qualified product number are respectively the number of products contained in a target product set and a qualified product set, and the target product qualification rate in the production stage b is calculated based on the target product number and the qualified product number;
and confirming that the product qualification rate in the b production stage reaches the standard according to the preset reference product qualification rate and target product qualification rate, and confirming that the product qualification rate reaches the standard according to the reference product qualification rate and the target product qualification rate after confirming that the b production stage is the production stage of the final product production process based on the m and b sizes, so as to realize the management of the product quality.
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| 徐钢;张晓彤;黎敏;徐金梧;: "基于统计过程控制的流程工业工艺规范制定方法", 机械工程学报, no. 08 * |
| 徐钢;张晓彤;黎敏;徐金梧;: "基于软超球体的高维非线性数据异常点识别算法", 工程科学学报, no. 10 * |
| 李鹏飞;秦江涛;刘举胜;: "基于物联网的生产线质量管理研究", 物流工程与管理, no. 10 * |
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