CN113780872A - Product quality evaluation method, system and computer readable storage medium - Google Patents
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Abstract
The invention provides a product quality evaluation method, a system and a computer readable storage medium, wherein the method comprises the following steps: acquiring product maintenance result information of maintenance personnel in a preset evaluation period from a preset database; according to the corresponding relation between the prestored product code and the product type and between the prestored product code and the prestored manufacturer, acquiring product maintenance result information of different manufacturers corresponding to the target product type to be evaluated from the product maintenance result information; and respectively calculating the corresponding evaluation scores of the manufacturers according to the product maintenance result information of the different manufacturers. The method, the system and the computer readable storage medium can solve the problems that the traditional mode for detecting the product quality by spot check is low in efficiency and high in cost, only can be effective to a single batch of products, and each manufacturer cannot make scientific objective evaluation on the product quality because the manufacturer cannot obtain the product quality data of other manufacturers in the same industry and lacks a transverse quality standard-matching means.
Description
Technical Field
The invention relates to the technical field of industrial internet, in particular to a product quality evaluation method, a product quality evaluation system and a computer readable storage medium.
Background
In the traditional quality monitoring system, because the products on the production line of the modern factory workshop are various in types and large in product quantity, the traditional detection method for the product quality is usually to carry out sampling detection in a manual mode, for example, finished products are evaluated in a random sampling mode. However, the method for detecting the product quality by sampling is generally low in efficiency and high in cost, the quality of the evaluation is greatly influenced subjectively, the detection result has certain contingency, the product quality can be really reflected only by the sample size being large enough, the problems of irreconcilable low efficiency and high cost are caused, and the method for sampling is only effective for a single batch of products. In addition, for manufacturers, since the manufacturers cannot learn the product quality data of other manufacturers in the same industry by themselves and lack a transverse quality standard-matching means, the manufacturers cannot make scientific and objective evaluation on the product quality of the manufacturers.
Disclosure of Invention
The technical problem to be solved by the present invention is to provide a method, a system and a computer readable storage medium for evaluating product quality, which are used to solve the problems that the traditional method for detecting product quality by spot check has low efficiency and high cost, and can only be effective for a single batch of products, and each manufacturer cannot make scientific objective evaluation on the product quality because it does not learn the product quality data of other manufacturers in the same industry, and lacks a transverse quality standard-matching means.
In a first aspect, the present invention provides a product quality assessment method applied to an industrial internet identity resolution platform, where the method includes:
product maintenance result information of maintenance personnel in a preset evaluation period is obtained from a preset database, and the product maintenance result information comprises product codes and maintenance result contents;
according to the corresponding relation between the prestored product code and the product type and between the prestored product code and the prestored manufacturer, acquiring product maintenance result information of different manufacturers corresponding to the target product type to be evaluated from the product maintenance result information;
and respectively calculating the corresponding evaluation scores of the manufacturers according to the product maintenance result information of the different manufacturers.
Preferably, before the obtaining of the product maintenance result information of the maintenance personnel in the preset evaluation period from the preset database, the method further includes:
receiving a product identification analysis request which is sent by the maintenance personnel before the maintenance of the product to be maintained and carries the product code;
sending product information corresponding to the product code to the maintenance personnel according to the product identification analysis request; and the number of the first and second groups,
and receiving the product maintenance result information uploaded by the maintenance personnel after the maintenance of the product to be maintained is completed, and storing the product maintenance result information into the preset database.
Preferably, before the obtaining of the product maintenance result information of the maintenance personnel in the preset evaluation period from the preset database, the method further includes:
acquiring product unit prices corresponding to the product codes in all the product maintenance result information in the preset database;
and removing the product maintenance result information corresponding to the product code of which the corresponding product unit price is lower than a preset price threshold value in the preset database.
Preferably, after the product maintenance result information of the maintenance personnel in the preset evaluation period is obtained from the preset database, the method further includes:
converting the maintenance result content in the product maintenance result information into a fault level according to a preset analytical model;
the failure levels are divided into an E0 level, an E1 level, an E2 level and an E3 level according to the severity of the failure, the E0 level is used for indicating the failure caused by improper use of users, the E1 level is used for indicating the failure caused by general problems of products, the E2 level is used for indicating the failure of important parts of products and can be repaired, and the E3 level is used for indicating the failure of important parts of products and can not be repaired.
Preferably, the calculating the evaluation score corresponding to each manufacturer according to the product maintenance result information of different manufacturers includes:
respectively calculating the failure rate of each ten thousand products of each manufacturer within the guarantee period and the failure rate of each ten thousand products outside the guarantee period according to the sale date and the guarantee period corresponding to the product code in the product maintenance result information of each manufacturer;
respectively calculating the E2 grade fault rate and the E3 grade fault rate of each ten thousand products of each manufacturer according to the fault grade in the product maintenance result information of each manufacturer;
and respectively calculating the evaluation scores corresponding to the manufacturers according to the failure rate of each ten thousand products of each manufacturer within the warranty period, the failure rate of each ten thousand products outside the warranty period, the E2 grade failure rate of each ten thousand products and the E3 grade failure rate of each ten thousand products.
Preferably, the failure rate of each ten thousand products in the warranty period is calculated according to the following formula:
p＝G[n]i*10000/N；
the failure rate of each ten thousand products outside the warranty period is calculated according to the following formula:
q＝G[n]j*10000/N；
wherein G [ n ]]iIndicates the total number of failures in the warranty period of the nth manufacturer, N indicates the total number of products of the nth manufacturer, G [ N ]]jRepresenting the total number of faults of the nth manufacturer outside the warranty period;
the E2 grade failure rate per ten thousand products is calculated according to the following formula:
m＝G[n]E2*10000/N；
the E3 grade failure rate per ten thousand products is calculated according to the following formula:
f＝G[n]E3*10000/N；
wherein G [ n ]]E2Indicating the total number of faults corresponding to the fault level of the nth manufacturer as the E2 level, G [ n ]]E3Indicating the total number of faults corresponding to the fault grade of the nth manufacturer as the E3 grade;
the evaluation score is calculated according to the following formula:
S[n]＝(10000-α*p-β*q-γ*m-δ*f)/100；
wherein S [ n ] represents the evaluation score of the nth manufacturer, p, q, m and f are the failure rate of every ten thousand products of the nth manufacturer within the warranty period, the failure rate outside the warranty period, the failure rate of E2 grade and the failure rate of E3 grade respectively, and alpha, beta, gamma and delta are corresponding coefficients respectively.
Preferably, the values of α, β, γ, δ are 2, 0.5, 10, 15, respectively.
Preferably, after the calculating the evaluation scores corresponding to the manufacturers respectively according to the failure rate of each ten thousand products in the warranty period, the failure rate of each ten thousand products out of the warranty period, the failure rate of each ten thousand products in the E2 grade and the failure rate of each ten thousand products in the E3 grade of each manufacturer, the method further comprises:
judging whether the evaluation score corresponding to each manufacturer is lower than the average score of all manufacturers or lower than a preset threshold value;
and if the evaluation score corresponding to a certain manufacturer is lower than the average score of all the manufacturers or lower than the preset threshold, sending early warning information to the enterprise node corresponding to the certain manufacturer.
In a second aspect, the present invention provides a product quality assessment system, which is disposed on an industrial internet identifier parsing platform, and includes:
the system comprises a first acquisition module, a second acquisition module and a maintenance module, wherein the first acquisition module is used for acquiring product maintenance result information of maintenance personnel in a preset evaluation period from a preset database, and the product maintenance result information comprises a product code and maintenance result content;
the second acquisition module is connected with the first acquisition module and used for acquiring product maintenance result information of different manufacturers corresponding to the type of the target product to be evaluated from the product maintenance result information according to the corresponding relation between the prestored product code and the type of the product as well as the manufacturers;
and the evaluation score calculation module is connected with the second acquisition module and is used for calculating the evaluation scores corresponding to the manufacturers respectively according to the product maintenance result information of the different manufacturers.
In a third aspect, the present invention provides a product quality assessment system, comprising a memory and a processor, wherein the memory stores a computer program, and the processor is configured to run the computer program to implement the product quality assessment method according to the first aspect.
In a fourth aspect, the present invention provides a computer-readable storage medium having a computer program stored thereon, the computer program, when executed by a processor, implementing the product quality assessment method of the first aspect.
According to the product quality assessment method, the product quality assessment system and the computer readable storage medium, by utilizing the advantage of identification analysis data of an industrial internet identification analysis platform, the industrial internet identification analysis platform acquires product maintenance result information of maintenance personnel in a preset assessment period from a preset database, wherein the product maintenance result information comprises product codes and maintenance result contents, and according to the corresponding relation between the prestored product codes and product types and manufacturers, the product maintenance result information of different manufacturers corresponding to the target product types to be assessed is acquired from the product maintenance result information; and respectively calculating the corresponding evaluation scores of the manufacturers according to the product maintenance result information of the different manufacturers, thereby realizing the evaluation of the product quality of the different manufacturers, the product quality evaluation method based on the industrial internet identification analysis platform can overcome various defects in the traditional method, can effectively provide objective evaluation basis for the quality evaluation of industrial products and make more accurate evaluation by performing panoramic integration on the product maintenance result information contained in mass identification analysis data, particularly has the industrial product maintenance result information of the whole industry for the first time, solves the problems that the traditional method for detecting the product quality by spot check has low efficiency and high cost and can only be effective for a single batch of products, and each manufacturer cannot obtain the product quality data of other manufacturers in the same industry and lacks a transverse quality calibration means, therefore, the quality of the product can not be scientifically and objectively evaluated.
Drawings
FIG. 1: is a flow chart of a product quality assessment method of embodiment 1 of the present invention;
FIG. 2: is a schematic structural diagram of a product quality evaluation system in embodiment 2 of the present invention;
FIG. 3: is a schematic structural diagram of a product quality evaluation system in embodiment 3 of the present invention.
Detailed Description
In order to make those skilled in the art better understand the technical solution of the present invention, the following detailed description will be made with reference to the accompanying drawings.
It is to be understood that the specific embodiments and figures described herein are merely illustrative of the invention and are not limiting of the invention.
It is to be understood that the embodiments and features of the embodiments can be combined with each other without conflict.
It is to be understood that, for the convenience of description, only parts related to the present invention are shown in the drawings of the present invention, and parts not related to the present invention are not shown in the drawings.
It should be understood that each unit and module related in the embodiments of the present invention may correspond to only one physical structure, may also be composed of multiple physical structures, or multiple units and modules may also be integrated into one physical structure.
It will be understood that, without conflict, the functions, steps, etc. noted in the flowchart and block diagrams of the present invention may occur in an order different from that noted in the figures.
It is to be understood that the flowchart and block diagrams of the present invention illustrate the architecture, functionality, and operation of possible implementations of systems, apparatus, devices and methods according to various embodiments of the present invention. Each block in the flowchart or block diagrams may represent a unit, module, segment, code, which comprises executable instructions for implementing the specified function(s). Furthermore, each block or combination of blocks in the block diagrams and flowchart illustrations can be implemented by a hardware-based system that performs the specified functions or by a combination of hardware and computer instructions.
It is to be understood that the units and modules involved in the embodiments of the present invention may be implemented by software, and may also be implemented by hardware, for example, the units and modules may be located in a processor.
Summary of the application
The industrial internet identification analysis system is used as a central nerve of the industrial internet, is an important component of an industrial internet network architecture, provides coding, registration and analysis services for physical resources such as industrial equipment, machines, materials, parts and products, and virtual resources such as algorithms, processes and the like, so that unique positioning and information query are carried out on the machines and articles, and is a premise and basis for realizing accurate butt joint of a global supply chain system and an enterprise production system, product full-life-cycle management and intelligent service. China actively lays out the construction of label analysis global root nodes, auxiliary root nodes, national top level nodes, secondary nodes and the like. A large amount of data can be generated in identification analysis of industrial products, valuable information can be deeply mined based on the data, and product quality assessment is a better application direction.
The product quality assessment method based on the industrial internet identification analysis platform is provided aiming at the problems that the traditional spot check detection method is low in efficiency and high in cost, and each manufacturer cannot make scientific objective evaluation on the product quality, and the automatic assessment on the quality of the same type of industrial products of different manufacturers is realized by utilizing the identification analysis data advantages of the industrial internet identification analysis platform.
Having described the general principles of the present application, various non-limiting embodiments of the present application will now be described with reference to the accompanying drawings.
Example 1:
the embodiment provides a product quality evaluation method applied to an industrial internet identifier resolution platform, and as shown in fig. 1, the method includes:
step S102: and acquiring product maintenance result information of maintenance personnel in a preset evaluation period from a preset database, wherein the product maintenance result information comprises product codes and maintenance result contents.
It should be noted that the industrial internet identity resolution platform mainly provides identity resolution service for industries and enterprises, is an important junction for connecting national top-level nodes and enterprises, is an important component of industrial internet identity resolution, and enterprise nodes in the same industry are usually connected to the same second-level node.
In this embodiment, in order to achieve automatic evaluation of the quality of an industrial product, a set of product quality evaluation system (hereinafter referred to as system a) may be separately installed on the industrial internet identification parsing platform, a product with a quality problem is returned to a factory for maintenance, after a maintenance person in a maintenance department takes a product to be maintained, a scanning device is used to scan a two-dimensional code, a product code of the industrial product is read, a product identification parsing request carrying the product code is sent to the industrial internet identification parsing platform, and the industrial internet identification parsing platform responds to the parsing request and returns product information corresponding to the product code to the scanning device of the maintenance person. After the maintenance is finished, maintenance personnel upload product maintenance result information through scanning codes, the industrial internet identification analysis platform transmits the information to the system A, and the preset database of the system A stores the product maintenance result information.
In this embodiment, a manufacturing enterprise assigns a unique code to each industrial product according to a product code rule, and stores the unique code in the form of a two-dimensional code or the like on the industrial product, and a preset database of the system a of the industrial internet identifier resolution platform stores product information corresponding to each product code, including a product name, a product type, a product model, a product batch, a product unit price, a product quantity of the batch, a manufacturer, a production date, a sales area, a warranty period, and the like.
In this embodiment, after the maintenance is completed, a final maintenance result of a product may be sent to the industrial internet identification and analysis platform through a client app installed on the scanning device, where the specific product maintenance result information may be presented in the form of a text or a selection item, and taking a mobile phone as an example, a product fault may be listed in the app in the form of a check box or a radio box, for example: the method comprises the following steps that a mobile phone is locked or disorganized due to improper use of a user, a key fails due to general problems of products, an important part of the mobile phone is broken down but repaired, an important part of the mobile phone is broken down and cannot be repaired, and the like.
In the embodiment, considering that the low-end products are rarely maintained, the collected data coverage is small, so that a higher price threshold is independently set for different types of products, and only the product maintenance result information of the medium-end and high-end products with the unit price higher than the preset price threshold is reserved on the system A. Specifically, product unit prices corresponding to product codes in all product maintenance result information in a preset database are obtained, whether the product unit prices are lower than a preset price threshold value or not is judged, and if yes, the product maintenance result information of the corresponding product is removed.
In this embodiment, the preset evaluation period may be in units of years or seasons, and the a system may extract the product maintenance result information within the preset evaluation period from the preset database.
Optionally, after obtaining product maintenance result information of the maintenance personnel in the preset evaluation period from the preset database, the method may further include:
converting maintenance result contents in the product maintenance result information into fault levels according to a preset analytical model;
the failure grades are divided into an E0 grade, an E1 grade, an E2 grade and an E3 grade according to the severity of the failure, the E0 grade is used for indicating the failure caused by improper use of a user, the E1 grade is used for indicating the failure caused by general problems of a product, the E2 grade is used for indicating that an important part of the product fails but can be repaired, and the E3 grade is used for indicating that the important part of the product fails and cannot be repaired.
In this embodiment, in order to facilitate subsequent evaluation statistics, an analysis model is preset in the system a, and the maintenance result content in the product maintenance result information can be converted into a fault level through the analysis model, so that the maintenance result content is digitized. The failure grades can be classified into four grades, E0, E1, E2 and E3, according to the severity of the failure, wherein the maintenance result content corresponding to the failure grades of different product types can be different, for example, taking a mobile phone as an example, E0: the mobile phone is locked due to improper use of the user; e1: the key failure is caused by the general problem of the product; e3: some important part of the mobile phone is failed but repaired; e4: and some important part of the mobile phone is failed and cannot be repaired, and the like. The system a may save the converted fault level to a corresponding location in a preset database. In one maintenance, if a product has multiple problems, and each problem is kept with one record, for example, a product with a product code of 12345 has two quality problems with failure grades of E1 and E2, the product keeps two failure records.
Step S104: according to the corresponding relation between the prestored product code and the product type and between the prestored product code and the manufacturers, product maintenance result information of different manufacturers corresponding to the target product type to be evaluated is obtained from the product maintenance result information;
step S106: and respectively calculating the corresponding evaluation scores of the manufacturers according to the product maintenance result information of different manufacturers.
In this embodiment, after obtaining the product maintenance result information of the maintenance staff in the preset evaluation period, the system a may classify the product types according to one another, and sequentially use one of the product types as a target product type to be evaluated, and calculate, for each product type, an evaluation score corresponding to each manufacturer under the product type. The product types may for example be: the system A comprises a mobile phone, a tablet personal computer, a refrigerator and the like, wherein if the type of a target product to be evaluated is the mobile phone, the system A firstly acquires product maintenance result information of different manufacturers corresponding to the mobile phone. It should be noted that, in the default case, the unit prices of the target products of different manufacturers are all within a certain unit price range, and as a further preference, the system a may also screen out product maintenance result information in which the unit prices of the target products corresponding to each manufacturer are within a certain price range, and then calculate the evaluation scores corresponding to each manufacturer according to the screened product maintenance result information.
Optionally, the calculating the evaluation score corresponding to each manufacturer according to the product maintenance result information of different manufacturers may specifically include:
respectively calculating the failure rate of each ten thousand products of each manufacturer in the warranty period and the failure rate of each ten thousand products outside the warranty period according to the sale date and the warranty period corresponding to the product code in the product maintenance result information of each manufacturer;
respectively calculating the E2 grade fault rate and the E3 grade fault rate of each ten thousand products of each manufacturer according to the fault grade in the product maintenance result information of each manufacturer;
and respectively calculating the evaluation scores corresponding to the manufacturers according to the failure rate of each ten thousand products of each manufacturer within the warranty period, the failure rate of each ten thousand products outside the warranty period, the E2 grade failure rate of each ten thousand products and the E3 grade failure rate of each ten thousand products.
In this embodiment, whether the product is in or out of the warranty period can be deduced according to the sale date and the warranty period corresponding to the product code. By G [ n ]]Representing the nth manufacturer, calculating the total number of faults occurring in the warranty period and out of the warranty period in the evaluation period, and using G [ n ]]iAnd G [ n ]]jThe total number of products of the nth manufacturer is represented by N, and the failure rate of each ten thousand products in the quality guarantee period is p ═ G [ N [ ]]i10000/N, failure rate outside the warranty period q ═ G [ N%]j*10000/N。
In the embodiment, because the high and low failure rates of the E2 and E3 grades can reflect the quality of products, the two types of failures are classified and added according to the failure grades of E2 and E3, and G [ n ] is used]E2、G[n]E3Respectively representing the total number of faults corresponding to the fault grades of the nth manufacturer E2 and E3, and the fault rate of the E2 grade of each ten thousand products is m-G [ n ]]E210000/N, E3 grade failure rate f ═ G [ N%]E3*10000/N。
In this embodiment, after the system a obtains the failure rate of every ten thousand products within the warranty period, the failure rate of every ten thousand products outside the warranty period, the failure rate of E2 grade of every ten thousand products, and the failure rate of E3 grade of every ten thousand products corresponding to each manufacturer, the system a calculates the evaluation score corresponding to each manufacturer according to the following formula: s [ n ] (10000- α p- β q- γ m- δ f)/100, where S [ n ] represents the evaluation score of the nth manufacturer, p, q, m, f are the failure rate of every ten thousand products of the nth manufacturer within the warranty period, the failure rate outside the warranty period, the failure rate of the E2 grade, and the failure rate of the E3 grade, respectively, and α, β, γ, δ are the corresponding coefficients, respectively, and each system may be adjusted according to actual conditions, and the default values are 2, 0.5, 10, 15, respectively. The product maintenance result information fed back by the maintenance personnel can accurately reflect the quality of the product, so that high-accuracy assessment scores can be obtained according to the product maintenance result information.
In this embodiment, in order to help the manufacturer to know the product gap, the a system feeds back information to the manufacturer with a low evaluation score. Specifically, after the system a obtains the evaluation scores (percentile) corresponding to each manufacturer, further calculates the average score values of all manufacturers, and determines whether the evaluation scores corresponding to each manufacturer are lower than the average scores of all manufacturers or lower than a preset threshold w, if the evaluation scores corresponding to a certain manufacturer are lower than the average scores of all manufacturers or lower than the preset threshold w, sends an early warning message to an enterprise node corresponding to a certain manufacturer to prompt that the enterprise quality evaluation score is low, so that the enterprise can upgrade the product or the production line in time.
According to the product quality assessment method provided by the embodiment of the invention, by utilizing the advantage of identification analysis data of an industrial internet identification analysis platform, the industrial internet identification analysis platform acquires product maintenance result information of maintenance personnel in a preset assessment period from a preset database, wherein the product maintenance result information comprises product codes and maintenance result contents, and according to the corresponding relationship among prestored product codes, product types and manufacturers, the product maintenance result information of different manufacturers corresponding to the target product type to be assessed is acquired from the product maintenance result information; and respectively calculating the corresponding evaluation scores of the manufacturers according to the product maintenance result information of the different manufacturers, thereby realizing the evaluation of the product quality of the different manufacturers, the product quality evaluation method based on the industrial internet identification analysis platform can overcome various defects in the traditional method, can effectively provide objective evaluation basis for the quality evaluation of industrial products and make more accurate evaluation by performing panoramic integration on the product maintenance result information contained in mass identification analysis data, particularly has the industrial product maintenance result information of the whole industry for the first time, solves the problems that the traditional method for detecting the product quality by spot check has low efficiency and high cost and can only be effective for a single batch of products, and each manufacturer cannot obtain the product quality data of other manufacturers in the same industry and lacks a transverse quality calibration means, therefore, the quality of the product can not be scientifically and objectively evaluated.
Example 2:
as shown in fig. 2, the present embodiment provides a product quality evaluation system, which is disposed on an industrial internet identifier parsing platform, and the system includes:
the first obtaining module 12 is configured to obtain product maintenance result information of a maintenance worker in a preset evaluation period from a preset database, where the product maintenance result information includes a product code and maintenance result content;
the second obtaining module 14 is connected to the first obtaining module 12, and is configured to obtain, from the product maintenance result information, product maintenance result information of different manufacturers corresponding to the target product type to be evaluated according to a correspondence between a prestored product code and the product type and the manufacturer;
and the evaluation score calculating module 16 is connected to the second obtaining module 14, and is configured to calculate evaluation scores corresponding to the manufacturers respectively according to the product maintenance result information of the different manufacturers.
Optionally, the method may further include:
the first receiving module is used for receiving a product identification analysis request which is sent by a maintenance worker before a product to be maintained is maintained and carries a product code;
the first sending module is used for sending product information corresponding to the product code to maintenance personnel according to the product identification analysis request;
and the second receiving module is used for receiving the product maintenance result information uploaded by the maintenance personnel after the maintenance of the product to be maintained is finished, and storing the product maintenance result information into a preset database.
Optionally, the method may further include:
the third acquisition module is used for acquiring the unit prices of the products corresponding to the product codes in all the product maintenance result information in the preset database;
and the removing module is used for removing the product maintenance result information corresponding to the product code of which the corresponding product unit price is lower than the preset price threshold value in the preset database.
Optionally, the method may further include:
the fault grade conversion module is used for converting maintenance result contents in the product maintenance result information into fault grades according to a preset analysis model;
the failure grades are divided into an E0 grade, an E1 grade, an E2 grade and an E3 grade according to the severity of the failure, the E0 grade is used for indicating the failure caused by improper use of a user, the E1 grade is used for indicating the failure caused by general problems of a product, the E2 grade is used for indicating that an important part of the product fails but can be repaired, and the E3 grade is used for indicating that the important part of the product fails and cannot be repaired.
Optionally, the evaluation score calculating module 16 may specifically include:
the first calculating unit is used for respectively calculating the failure rate of each ten thousand products of each manufacturer in the quality guarantee period and the failure rate of each ten thousand products outside the quality guarantee period according to the sale date and the quality guarantee period corresponding to the product code in the product maintenance result information of each manufacturer;
the second calculating unit is used for respectively calculating the E2 grade fault rate and the E3 grade fault rate of each ten thousand products of each manufacturer according to the fault grade in the product maintenance result information of each manufacturer;
and the third calculating unit is used for respectively calculating the evaluation scores corresponding to the manufacturers according to the failure rate of each ten thousand products of each manufacturer within the warranty period, the failure rate of each ten thousand products outside the warranty period, the failure rate of the E2 grade of each ten thousand products and the failure rate of the E3 grade of each ten thousand products.
Optionally, the failure rate per ten thousand products over the warranty period is calculated according to the following formula:
p＝G[n]i*10000/N；
optionally, the failure rate of every ten thousand products outside the warranty period is calculated according to the following formula:
q＝G[n]j*10000/N；
wherein G [ n ]]iIndicates the total number of failures in the warranty period of the nth manufacturer, N indicates the total number of products of the nth manufacturer, G [ N ]]jRepresenting the total number of faults of the nth manufacturer outside the warranty period;
alternatively, the E2 level failure rate per ten thousand products is calculated according to the following formula:
m＝G[n]E2*10000/N；
alternatively, the E3 level failure rate per ten thousand products is calculated according to the following formula:
f＝G[n]E3*10000/N；
wherein G [ n ]]E2Indicating the total number of faults corresponding to the fault level of the nth manufacturer as the E2 level, G [ n ]]E3Indicating the total number of faults corresponding to the fault grade of the nth manufacturer as the E3 grade;
optionally, the evaluation score is calculated according to the following formula:
S[n]＝(10000-α*p-β*q-γ*m-δ*f)/100；
wherein S [ n ] represents the evaluation score of the nth manufacturer, p, q, m and f are the failure rate of every ten thousand products of the nth manufacturer within the warranty period, the failure rate outside the warranty period, the failure rate of E2 grade and the failure rate of E3 grade respectively, and alpha, beta, gamma and delta are corresponding coefficients respectively.
Alternatively, the values of α, β, γ, δ are 2, 0.5, 10, 15, respectively.
Optionally, the method may further include:
the judging module is used for judging whether the evaluation score corresponding to each manufacturer is lower than the average score of all manufacturers or lower than a preset threshold value;
and the early warning information sending module is used for sending early warning information to an enterprise node corresponding to a certain manufacturer if the evaluation score corresponding to the certain manufacturer is lower than the average score of all manufacturers or lower than a preset threshold value.
Example 3:
as shown in fig. 3, the present embodiment provides a product quality evaluation system, which includes a memory 21 and a processor 22, wherein the memory 21 stores a computer program, and the processor 22 is configured to run the computer program to execute the product quality evaluation method in embodiment 1.
The memory 21 is connected to the processor 22, the memory 21 may be a flash memory, a read-only memory or other memories, and the processor 22 may be a central processing unit or a single chip microcomputer.
Example 4:
the present embodiment provides a computer-readable storage medium having stored thereon a computer program that, when executed by a processor, implements the product quality evaluation method in embodiment 1 described above.
The computer-readable storage media include volatile or nonvolatile, removable or non-removable media implemented in any method or technology for storage of information such as computer-readable instructions, data structures, computer program modules or other data. Computer-readable storage media include, but are not limited to, RAM (Random Access Memory), ROM (Read-Only Memory), EEPROM (Electrically Erasable Programmable Read-Only Memory), flash Memory or other Memory technology, CD-ROM (Compact disk Read-Only Memory), Digital Versatile Disks (DVD) or other optical disk storage, magnetic cassettes, magnetic tape, magnetic disk storage or other magnetic storage devices, or any other medium which can be used to store the desired information and which can be accessed by a computer.
In the product quality assessment method, the product quality assessment system, and the computer-readable storage medium provided in embodiments 2 to 4, product maintenance result information of a maintenance worker in a preset assessment period is obtained from a preset database by an industrial internet identity resolution platform by using an identity resolution data advantage of the industrial internet identity resolution platform, where the product maintenance result information includes a product code and maintenance result content, and product maintenance result information of different manufacturers corresponding to a target product type to be assessed is obtained from the product maintenance result information according to a correspondence between a prestored product code and a product type and a manufacturer; and respectively calculating the corresponding evaluation scores of the manufacturers according to the product maintenance result information of the different manufacturers, thereby realizing the evaluation of the product quality of the different manufacturers, the product quality evaluation method based on the industrial internet identification analysis platform can overcome various defects in the traditional method, can effectively provide objective evaluation basis for the quality evaluation of industrial products and make more accurate evaluation by performing panoramic integration on the product maintenance result information contained in mass identification analysis data, particularly has the industrial product maintenance result information of the whole industry for the first time, solves the problems that the traditional method for detecting the product quality by spot check has low efficiency and high cost and can only be effective for a single batch of products, and each manufacturer cannot obtain the product quality data of other manufacturers in the same industry and lacks a transverse quality calibration means, therefore, the quality of the product can not be scientifically and objectively evaluated.
It will be understood that the above embodiments are merely exemplary embodiments taken to illustrate the principles of the present invention, which is not limited thereto. It will be apparent to those skilled in the art that various modifications and improvements can be made without departing from the spirit and substance of the invention, and these modifications and improvements are also considered to be within the scope of the invention.
Claims (11)
1. A product quality assessment method is applied to an industrial Internet identification analysis platform, and comprises the following steps:
product maintenance result information of maintenance personnel in a preset evaluation period is obtained from a preset database, and the product maintenance result information comprises product codes and maintenance result contents;
according to the corresponding relation between the prestored product code and the product type and between the prestored product code and the prestored manufacturer, acquiring product maintenance result information of different manufacturers corresponding to the target product type to be evaluated from the product maintenance result information;
and respectively calculating the corresponding evaluation scores of the manufacturers according to the product maintenance result information of the different manufacturers.
2. The product quality assessment method according to claim 1, wherein before the obtaining of the product maintenance result information of the maintenance personnel within the preset assessment period from the preset database, the method further comprises:
receiving a product identification analysis request which is sent by the maintenance personnel before the maintenance of the product to be maintained and carries the product code;
sending product information corresponding to the product code to the maintenance personnel according to the product identification analysis request; and the number of the first and second groups,
and receiving the product maintenance result information uploaded by the maintenance personnel after the maintenance of the product to be maintained is completed, and storing the product maintenance result information into the preset database.
3. The product quality assessment method according to claim 1, wherein before the obtaining of the product maintenance result information of the maintenance personnel within the preset assessment period from the preset database, the method further comprises:
acquiring product unit prices corresponding to the product codes in all the product maintenance result information in the preset database;
and removing the product maintenance result information corresponding to the product code of which the corresponding product unit price is lower than a preset price threshold value in the preset database.
4. The product quality assessment method according to claim 1, wherein after obtaining product maintenance result information of a maintenance person within a preset assessment period from a preset database, the method further comprises:
converting the maintenance result content in the product maintenance result information into a fault level according to a preset analytical model;
the failure levels are divided into an E0 level, an E1 level, an E2 level and an E3 level according to the severity of the failure, the E0 level is used for indicating the failure caused by improper use of users, the E1 level is used for indicating the failure caused by general problems of products, the E2 level is used for indicating the failure of important parts of products and can be repaired, and the E3 level is used for indicating the failure of important parts of products and can not be repaired.
5. The product quality assessment method according to claim 4, wherein the calculating the assessment score corresponding to each of the manufacturers respectively according to the product maintenance result information of the different manufacturers comprises:
respectively calculating the failure rate of each ten thousand products of each manufacturer within the guarantee period and the failure rate of each ten thousand products outside the guarantee period according to the sale date and the guarantee period corresponding to the product code in the product maintenance result information of each manufacturer;
respectively calculating the E2 grade fault rate and the E3 grade fault rate of each ten thousand products of each manufacturer according to the fault grade in the product maintenance result information of each manufacturer;
and respectively calculating the evaluation scores corresponding to the manufacturers according to the failure rate of each ten thousand products of each manufacturer within the warranty period, the failure rate of each ten thousand products outside the warranty period, the E2 grade failure rate of each ten thousand products and the E3 grade failure rate of each ten thousand products.
6. The product quality assessment method according to claim 5, wherein the failure rate per ten thousand products in the warranty period is calculated according to the following formula:
p＝G[n]i*10000/N；
the failure rate of each ten thousand products outside the warranty period is calculated according to the following formula:
q＝G[n]j*10000/N；
wherein G [ n ]]iIndicates the total number of failures in the warranty period of the nth manufacturer, N indicates the total number of products of the nth manufacturer, G [ N ]]jRepresenting the total number of faults of the nth manufacturer outside the warranty period;
the E2 grade failure rate per ten thousand products is calculated according to the following formula:
m＝G[n]E2*10000/N；
the E3 grade failure rate per ten thousand products is calculated according to the following formula:
f＝G[n]E3*10000/N；
wherein G [ n ]]E2Indicating the total number of faults corresponding to the fault level of the nth manufacturer as the E2 level, G [ n ]]E3Indicating the total number of faults corresponding to the fault grade of the nth manufacturer as the E3 grade;
the evaluation score is calculated according to the following formula:
S[n]＝(10000-α*p-β*q-γ*m-δ*f)/100；
wherein S [ n ] represents the evaluation score of the nth manufacturer, p, q, m and f are the failure rate of every ten thousand products of the nth manufacturer within the warranty period, the failure rate outside the warranty period, the failure rate of E2 grade and the failure rate of E3 grade respectively, and alpha, beta, gamma and delta are corresponding coefficients respectively.
7. The product quality evaluation method according to claim 6, wherein the values of α, β, γ, δ are 2, 0.5, 10, 15, respectively.
8. The product quality assessment method according to claim 5, wherein after the respective assessment scores corresponding to the respective manufacturers are calculated according to the failure rates of the ten thousand products of each of the manufacturers within the warranty period, the failure rates of the ten thousand products outside the warranty period, the failure rates of the E2 grades of the ten thousand products, and the failure rates of the E3 grades of the ten thousand products, the method further comprises:
judging whether the evaluation score corresponding to each manufacturer is lower than the average score of all manufacturers or lower than a preset threshold value;
and if the evaluation score corresponding to a certain manufacturer is lower than the average score of all the manufacturers or lower than the preset threshold, sending early warning information to the enterprise node corresponding to the certain manufacturer.
9. The product quality assessment system is characterized by being arranged on an industrial internet identification analysis platform, and comprises:
the system comprises a first acquisition module, a second acquisition module and a maintenance module, wherein the first acquisition module is used for acquiring product maintenance result information of maintenance personnel in a preset evaluation period from a preset database, and the product maintenance result information comprises a product code and maintenance result content;
the second acquisition module is connected with the first acquisition module and used for acquiring product maintenance result information of different manufacturers corresponding to the type of the target product to be evaluated from the product maintenance result information according to the corresponding relation between the prestored product code and the type of the product as well as the manufacturers;
and the evaluation score calculation module is connected with the second acquisition module and is used for calculating the evaluation scores corresponding to the manufacturers respectively according to the product maintenance result information of the different manufacturers.
10. A product quality assessment system comprising a memory and a processor, wherein the memory has stored therein a computer program, the processor being arranged to run the computer program to implement the product quality assessment method according to any one of claims 1-8.
11. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out a product quality assessment method according to any one of claims 1 to 8.
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