CN113256103A - Product quality analysis traceability system based on industry 4.0 - Google Patents
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Abstract
The invention belongs to the field of industry 4.0, relates to a product quality analysis technology, and particularly relates to a product quality analysis and tracing system based on industry 4.0, which comprises a processor, wherein the processor is in communication connection with a feedback analysis module, a quality detection module, an order tracing module, a market research module and a database; the feedback analysis module is used for performing feedback collection on the evaluation of the customer and analyzing the satisfaction degree of the customer on the product through the evaluation of the customer, and the quality detection module is used for detecting the quality of the product through the order information of the quality inspection order. The invention can comprehensively analyze the fiber length uniformity, the fiber impurity rate and the fiber strength of cotton, calculate the mass coefficient of the cotton product, compare the mass coefficient with the mass coefficient threshold value to detect and analyze the quality of the cotton product, and acquire the fiber uniformity by adopting a multi-region simultaneous detection mode, thereby improving the accuracy of the detection result.
Description
Technical Field
The invention belongs to the field of industry 4.0, relates to a product quality analysis technology, and particularly relates to a product quality analysis tracing system based on industry 4.0.
Background
The industry is the division made based on different stages of industrial development. According to the current consensus, the industry 1.0 is a steam engine era, the industry 2.0 is an electrification era, the industry 3.0 is an information era, and the industry 4.0 is an era of promoting industrial transformation by using an information technology, namely, an intelligent era.
The existing cotton industrial production does not have the function of comprehensively inspecting a plurality of quality parameters of cotton when detecting the product quality, so that the cotton quality detection result is not accurate enough.
The invention patent with publication number CN106679720B discloses a cotton detection control system and a measurement and control method thereof, the cotton detection control system and the measurement and control method thereof comprise a sheet hanging module, a weighing module, a sampling module, a seed cotton color grading module, a moisture regain acceptance module, a quality acceptance module and a classification stacking module, the cotton detection control system adopts the sheet hanging module to establish unique information from the beginning of cotton entering a factory, the unique serial number of cotton in the cotton crossing process is ensured, the weighing module adopts an electronic pound mode, the weighing data is directly transmitted to a system server, the manual recording of the weighing data and the manual interference are avoided, the seed cotton moisture regain measurement can be automatically completed through a moisture measuring instrument, and the seed cotton color grade and moisture regain information are automatically uploaded to the system server. Meanwhile, cotton inspection parameters such as fiber length, clothes mark, trash content, micronaire value and the like of cotton are transmitted to a system server in real time through a mobile data acquisition module, and real-time data are displayed on a screen of an off-plant public display through a master control module. In addition, related supervision units, management units and individuals can access the internet through the client to inquire the cotton purchasing detection data in real time, and national cotton growers can measure and calculate according to the data; however, the cotton detection control system and the measurement and control method thereof cannot comprehensively analyze the fiber length uniformity, the fiber impurity content and the fiber strength, so that the accuracy of the detection result is low.
Disclosure of Invention
The invention aims to provide a product quality analysis and tracing system based on industrial 4.0;
the technical problems to be solved by the invention are as follows: how to provide a product quality analysis traceability system which can comprehensively analyze and detect a plurality of parameters of a cotton product.
The purpose of the invention can be realized by the following technical scheme:
a product quality analysis and tracing system based on industry 4.0 comprises a processor, wherein the processor is in communication connection with a feedback analysis module, a quality detection module, an order tracing module, a market research module and a database;
the feedback analysis module is used for performing feedback collection on the evaluation of the customer and analyzing the satisfaction degree of the customer on the product through the evaluation of the customer, and the specific analysis process comprises the following steps:
step S1: the method comprises the following steps that a client sends evaluation grades of an order to a database through a mobile phone terminal, the evaluation grades are divided into three grades of high quality, medium quality and low quality, and the database stores the evaluation grades;
step S2: marking the customers with low-quality evaluation grades as discontent customers, acquiring order numbers corresponding to the low-quality evaluation grades given by the discontent customers, and calling order information corresponding to the order numbers from a database through the order numbers, wherein the order information comprises transaction time, transaction amount and product parameters;
step S3: the method comprises the steps that an order with a transaction amount larger than JJ and transaction time earlier than L days is marked as a retroactive order, the JJ is an amount constant, the L is a time constant, order information and a retroactive signal of the retroactive order are sent to a processor, and the processor receives the order information and the retroactive signal of the retroactive order and then sends the order information and the retroactive signal of the retroactive order to an order retroactive module;
step S4: and marking the order with the transaction amount not greater than JJ or the transaction time not earlier than L days as a quality inspection order, sending order information and a quality inspection signal of the quality inspection order to the processor, and sending the order information and the quality inspection signal of the quality inspection order to the quality detection module after the processor receives the order information and the quality inspection signal of the quality inspection order.
Further, the quality detection module is used for detecting the quality of the product through order information of a quality inspection order, and the specific detection process comprises the following steps:
step P1: acquiring a storage warehouse of products in the quality inspection order, marking the storage warehouse as a quality inspection warehouse, acquiring product information of products in the same batch in the quality inspection warehouse, and calculating a quality coefficient ZLx of cotton according to the product information of the products in the same batch in the quality inspection warehouse, wherein the product information of the products in the same batch in the quality inspection warehouse comprises fiber length uniformity, fiber impurity rate and fiber strength value;
step P2: acquiring the fiber length uniformity of the same batch of products in a quality inspection warehouse, marking the fiber length uniformity of the same batch of products in the quality inspection warehouse as CJ, acquiring the fiber impurity rate of the same batch of products in the quality inspection warehouse, marking the fiber impurity rate of the same batch of products in the quality inspection warehouse as HZ, acquiring the fiber strength value of the same batch of products in the quality inspection warehouse, and marking the fiber strength value of the same batch of products in the quality inspection warehouse as QD;
step P3: by the formula ZLx ═ β 3 × QD- γ × (β 1 × CJ + β 2 × HZ)eObtaining a quality coefficient ZLx of the same batch of products in the quality inspection warehouse, wherein beta 1, beta 2 and beta 3 are all proportionality coefficients, gamma is a correction factor, e is a natural constant, and the value of e is 2.71828;
step P4: obtaining a quality coefficient threshold value ZLmin through the database, and comparing the quality coefficient ZLx of the same batch of products in the quality inspection warehouse with the quality coefficient threshold value ZLmin:
if ZLx is not more than ZLmin, the quality of the same batch of products in the corresponding quality inspection warehouse is judged not to meet the processing requirement, and the quality inspection module sends a rework signal to the processor;
if ZLx is greater than ZLmin, the quality of the same batch of products in the corresponding quality inspection warehouse is judged to meet the processing requirement, and the quality inspection module sends a quality qualified signal to the processor;
further, the method for obtaining the fiber length uniformity CJ of the same batch of products in the quality inspection warehouse in step P2 includes the following steps:
step P21: dividing a cotton product into a plurality of areas, randomly selecting one area as a detection product, dividing the detection product into detection areas i, i is 1, 2, … …, n, obtaining the average value of the fiber length of the detection area i, and marking the average value of the fiber length of the detection area i as CDi;
step P21: acquiring a fiber length standard value, and marking the fiber length standard value as CDb;
step P23: by the formula
Obtaining a fiber length detection value CQ;
step P24: obtaining the fiber length uniformity CJ of the products in the same batch in the quality inspection warehouse through a formula CJ which is theta multiplied by CQ, wherein theta is a proportionality coefficient, and the value taking process of theta is as follows: obtaining a fiber length detection threshold value CQmax through a database, comparing the fiber length detection value CQ with the fiber length detection threshold value CQmax:
if CQ is less than or equal to CQmax, the value of theta is 1;
if CQ > CQmax, then θ takes on a value of 1.2.
Further, the order tracing module is used for tracing and checking the low-quality products through tracing order information of the order, and the specific working process of the order tracing module comprises the following steps:
step Z1: marking the transaction amount of the retroactive order as JE, and marking the number of days between the current date and the transaction time of the retroactive order as TZ;
step Z2: by the formula
Obtaining a priority coefficient YXx of the retroactive order, wherein both alpha 1 and alpha 2 are proportional coefficients;
step Z3: obtaining a priority coefficient threshold YXmax through a database, and comparing the priority coefficient of the retroactive order with the priority coefficient threshold:
if YXx is less than or equal to YXmax, the corresponding retroactive order is judged to be a normal order;
if YXx is greater than YXmax, the corresponding retroactive order is judged to be an urgent order;
step Z4: and preferably, the emergency order is traced, and the normal order is traced after the emergency order is processed.
Further, the tracing processing procedure in step Z4 specifically includes the following steps:
step Z41: dispatching workers to the receiving places of the unsatisfied users to carry out on-site detection on the products, and if the detection result is qualified, carrying out no treatment; if the detection result is unqualified, carrying out the next step;
step Z42: marking products with unqualified detection results as unqualified products, obtaining production batches of the unqualified products, obtaining order information of products sold in a warehouse corresponding to the production batches, dispatching workers to all receiving places for product sale corresponding to the production batches to carry out on-site detection, marking all products with unqualified detection results as unqualified products, and recovering all unqualified products for rework.
Further, the market research module is used for researching and analyzing the market popularity of the cotton product, and the specific research and analysis process comprises the following steps:
step Q1: obtaining market share of the cotton product, marking the market share of the cotton product as SZ, obtaining favorable rating of the cotton product, marking the favorable rating of the cotton product as HP, obtaining quarterly sales volume of the cotton product, and marking the quarterly sales volume of the cotton product as JX;
step Q2: the popularity coefficient HYx of the cotton product is obtained by the formula HYx ═ w1 × SZ + w2 × HP + w3 × JX, wherein w1, w2 and w3 are all proportionality coefficients, the popularity coefficient HYx represents the popularity of the cotton product, and the higher the value of HYx, the more popular the cotton product.
The invention has the following beneficial effects:
1. the quality detection module can comprehensively analyze the fiber length uniformity, the fiber impurity content and the fiber strength of cotton, calculate the quality coefficient of a cotton product, compare the quality coefficient with a quality coefficient threshold value to detect and analyze the quality of the cotton product, and acquire the quality by adopting a multi-region simultaneous detection mode when acquiring the fiber uniformity, so that the accuracy of a detection result is improved;
2. the method comprises the steps that feedback collection is carried out on evaluation of a client through a feedback analysis module, the satisfaction degree of the client on products is analyzed through the evaluation of the client, order information is analyzed according to poor evaluation given by the client, poor evaluation orders are divided into retrospective order quality inspection orders according to the amount of the orders and the transaction time, the order retrospective module conducts product quality retrospective on the orders, and a quality detection module conducts quality detection on inventory products, so that the quality of cotton products discharged from a warehouse subsequently is guaranteed;
3. the method comprises the steps that an order tracing module is arranged to trace back and inspect products with low quality through order information of a tracing order, the priority of the tracing order is judged through transaction amount and transaction time, an urgent order is processed preferentially, and the tracing process is to dispatch workers to perform local quality inspection and rework all unqualified products;
4. the market popularity of the cotton products is investigated and analyzed through the arranged market investigating module, the popularity coefficient of the cotton products is calculated through the market share, the goodness of appreciation and the quarterly sales volume of the cotton products in the last quarter, the popularity coefficient represents the popularity of the cotton products, and the higher the value of the popularity coefficient, the more popular the cotton products are.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a schematic block diagram of the present invention.
Detailed Description
The technical solutions of the present invention will be described clearly and completely with reference to the following embodiments, and it should be understood that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
As shown in fig. 1, a product quality analysis and traceability system based on industry 4.0 comprises a processor, wherein the processor is in communication connection with a feedback analysis module, a quality detection module, an order traceability module, a market research module and a database;
the feedback analysis module is used for performing feedback collection on the evaluation of the customer and analyzing the satisfaction degree of the customer on the product through the evaluation of the customer, and the specific analysis process comprises the following steps:
step S1: the method comprises the following steps that a client sends evaluation grades of an order to a database through a mobile phone terminal, the evaluation grades are divided into three grades of high quality, medium quality and low quality, and the database stores the evaluation grades;
step S2: marking the customers with low-quality evaluation grades as discontent customers, acquiring order numbers corresponding to the low-quality evaluation grades given by the discontent customers, and calling order information corresponding to the order numbers from a database through the order numbers, wherein the order information comprises transaction time, transaction amount and product parameters;
step S3: the method comprises the steps that an order with a transaction amount larger than JJ and transaction time earlier than L days is marked as a retroactive order, the JJ is an amount constant, the L is a time constant, order information and a retroactive signal of the retroactive order are sent to a processor, and the processor receives the order information and the retroactive signal of the retroactive order and then sends the order information and the retroactive signal of the retroactive order to an order retroactive module;
step S4: and marking the order with the transaction amount not greater than JJ or the transaction time not earlier than L days as a quality inspection order, sending order information and a quality inspection signal of the quality inspection order to the processor, and sending the order information and the quality inspection signal of the quality inspection order to the quality detection module after the processor receives the order information and the quality inspection signal of the quality inspection order.
The quality detection module is used for detecting the quality of the product through order information of a quality inspection order, and the specific detection process comprises the following steps:
step P1: acquiring a storage warehouse of products in the quality inspection order, marking the storage warehouse as a quality inspection warehouse, acquiring product information of products in the same batch in the quality inspection warehouse, and calculating a quality coefficient ZLx of cotton according to the product information of the products in the same batch in the quality inspection warehouse, wherein the product information of the products in the same batch in the quality inspection warehouse comprises fiber length uniformity, fiber impurity rate and fiber strength value;
step P2: acquiring the fiber length uniformity of the same batch of products in a quality inspection warehouse, marking the fiber length uniformity of the same batch of products in the quality inspection warehouse as CJ, acquiring the fiber impurity rate of the same batch of products in the quality inspection warehouse, marking the fiber impurity rate of the same batch of products in the quality inspection warehouse as HZ, acquiring the fiber strength value of the same batch of products in the quality inspection warehouse, and marking the fiber strength value of the same batch of products in the quality inspection warehouse as QD;
step P3: by the formula ZLx ═ β 3 × QD- γ × (β 1 × CJ + β 2 × HZ)eObtaining a quality coefficient ZLx of the same batch of products in the quality inspection warehouse, wherein beta 1, beta 2 and beta 3 are all proportionality coefficients, gamma is a correction factor, e is a natural constant, and the value of e is 2.71828;
step P4: obtaining a quality coefficient threshold value ZLmin through the database, and comparing the quality coefficient ZLx of the same batch of products in the quality inspection warehouse with the quality coefficient threshold value ZLmin:
if ZLx is not more than ZLmin, the quality of the same batch of products in the corresponding quality inspection warehouse is judged not to meet the processing requirement, and the quality inspection module sends a rework signal to the processor;
if ZLx is greater than ZLmin, the quality of the same batch of products in the corresponding quality inspection warehouse is judged to meet the processing requirement, and the quality inspection module sends a quality qualified signal to the processor;
the method for obtaining the fiber length uniformity CJ of the products of the same batch in the quality inspection warehouse in the step P2 comprises the following steps:
step P21: dividing a cotton product into a plurality of areas, randomly selecting one area as a detection product, dividing the detection product into detection areas i, i is 1, 2, … …, n, obtaining the average value of the fiber length of the detection area i, and marking the average value of the fiber length of the detection area i as CDi;
step P21: acquiring a fiber length standard value, and marking the fiber length standard value as CDb;
step P23: by the formula
Obtaining a fiber length detection value CQ;
step P24: obtaining the fiber length uniformity CJ of the products in the same batch in the quality inspection warehouse through a formula CJ which is theta multiplied by CQ, wherein theta is a proportionality coefficient, and the value taking process of theta is as follows: obtaining a fiber length detection threshold value CQmax through a database, comparing the fiber length detection value CQ with the fiber length detection threshold value CQmax:
if CQ is less than or equal to CQmax, the value of theta is 1;
if CQ > CQmax, then θ takes on a value of 1.2.
The order tracing module is used for tracing and checking the products with low quality through tracing order information of the order, and the specific working process of the order tracing module comprises the following steps:
step Z1: marking the transaction amount of the retroactive order as JE, and marking the number of days between the current date and the transaction time of the retroactive order as TZ;
step Z2: by the formula
Obtaining a priority coefficient YXx of the retroactive order, wherein both alpha 1 and alpha 2 are proportional coefficients;
step Z3: obtaining a priority coefficient threshold YXmax through a database, and comparing the priority coefficient of the retroactive order with the priority coefficient threshold:
if YXx is less than or equal to YXmax, the corresponding retroactive order is judged to be a normal order;
if YXx is greater than YXmax, the corresponding retroactive order is judged to be an urgent order;
step Z4: and preferably, the emergency order is traced, and the normal order is traced after the emergency order is processed.
The tracing processing procedure in the step Z4 specifically includes the following steps:
step Z41: dispatching workers to the receiving places of the unsatisfied users to carry out on-site detection on the products, and if the detection result is qualified, carrying out no treatment; if the detection result is unqualified, carrying out the next step;
step Z42: marking products with unqualified detection results as unqualified products, obtaining production batches of the unqualified products, obtaining order information of products sold in a warehouse corresponding to the production batches, dispatching workers to all receiving places for product sale corresponding to the production batches to carry out on-site detection, marking all products with unqualified detection results as unqualified products, and recovering all unqualified products for rework.
The market research module is used for researching and analyzing the market popularity of cotton products, and the specific research and analysis process comprises the following steps:
step Q1: obtaining market share of the cotton product, marking the market share of the cotton product as SZ, obtaining favorable rating of the cotton product, marking the favorable rating of the cotton product as HP, obtaining quarterly sales volume of the cotton product, and marking the quarterly sales volume of the cotton product as JX;
step Q2: the popularity coefficient HYx of the cotton product is obtained by the formula HYx ═ w1 × SZ + w2 × HP + w3 × JX, wherein w1, w2 and w3 are all proportionality coefficients, the popularity coefficient HYx represents the popularity of the cotton product, and the higher the value of HYx, the more popular the cotton product.
A product quality analysis traceability system based on industry 4.0 is characterized in that a quality detection module is arranged, the quality coefficient of a cotton product is obtained by calculating through comprehensive analysis on the fiber length uniformity, the fiber impurity rate and the fiber strength of cotton, the quality coefficient is compared with a quality coefficient threshold value to detect and analyze the quality of the cotton product, and when the fiber uniformity is obtained, the quality is obtained by adopting a multi-region simultaneous detection mode, so that the accuracy of a detection result is improved; the method comprises the steps that feedback collection is carried out on evaluation of a client through a feedback analysis module, the satisfaction degree of the client on products is analyzed through the evaluation of the client, order information is analyzed according to poor evaluation given by the client, poor evaluation orders are divided into retrospective order quality inspection orders according to the amount of the orders and the transaction time, the order retrospective module conducts product quality retrospective on the orders, and a quality detection module conducts quality detection on inventory products, so that the quality of cotton products discharged from a warehouse subsequently is guaranteed; the method comprises the steps that an order tracing module is arranged to trace back and inspect products with low quality through order information of a tracing order, the priority of the tracing order is judged through transaction amount and transaction time, an urgent order is processed preferentially, and the tracing process is to dispatch workers to perform local quality inspection and rework all unqualified products; the market popularity of the cotton products is investigated and analyzed through the arranged market investigating module, the popularity coefficient of the cotton products is calculated through the market share, the goodness of appreciation and the quarterly sales volume of the cotton products in the last quarter, the popularity coefficient represents the popularity of the cotton products, and the higher the value of the popularity coefficient, the more popular the cotton products are.
The foregoing is merely exemplary and illustrative of the present invention and various modifications, additions and substitutions may be made by those skilled in the art to the specific embodiments described without departing from the scope of the invention as defined in the following claims.
Furthermore, the terms "first", "second" and "first" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature. In the description of the present invention, "a plurality" means two or more unless specifically defined otherwise.
The specific meanings of the above terms in the present invention can be understood in specific cases by those skilled in the art; the preferred embodiments of the invention disclosed above are intended to be illustrative only. The preferred embodiments are not intended to be exhaustive or to limit the invention to the precise forms disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, to thereby enable others skilled in the art to best utilize the invention. The invention is limited only by the claims and their full scope and equivalents.
The formulas are all calculated by taking the numerical values of the dimensions of the formulas, the formula is a formula of the latest real situation obtained by acquiring a large amount of data and performing software simulation, and the preset parameters in the formula are set by the technical personnel in the field according to the actual situation.
In the description herein, references to the description of "one embodiment," "an example," "a specific example" or the like are intended to mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, the schematic representations of the terms used above do not necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
The preferred embodiments of the invention disclosed above are intended to be illustrative only. The preferred embodiments are not intended to be exhaustive or to limit the invention to the precise forms disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, to thereby enable others skilled in the art to best utilize the invention. The invention is limited only by the claims and their full scope and equivalents.
Claims (5)
1. A product quality analysis and tracing system based on industry 4.0 is characterized by comprising a processor, wherein the processor is in communication connection with a feedback analysis module, a quality detection module, an order tracing module, a market research module and a database;
the feedback analysis module is used for performing feedback collection on the evaluation of the customer, analyzing the satisfaction degree of the customer on the product through the evaluation of the customer, and dividing the order with low quality into a quality inspection order and a retroactive order through order information;
the quality detection module is used for detecting the quality of the product through order information of a quality inspection order, and the specific detection process comprises the following steps:
step P1: acquiring a storage warehouse of products in the quality inspection order, marking the storage warehouse as a quality inspection warehouse, and acquiring product information of the products in the same batch in the quality inspection warehouse;
step P2: acquiring the fiber length uniformity of the same batch of products in the quality inspection warehouse, marking the fiber length uniformity as CJ, acquiring the fiber impurity rate of the same batch of products in the quality inspection warehouse, marking the fiber impurity rate as HZ, acquiring the fiber strength value of the same batch of products in the quality inspection warehouse, and marking the fiber strength value as QD;
step P3: by the formula ZLx ═ β 3 × QD- γ × (β 1 × CJ + β 2 × HZ)eObtaining a quality coefficient ZLx of the same batch of products in the quality inspection warehouse, wherein beta 1, beta 2 and beta 3 are all proportionality coefficients, gamma is a correction factor, e is a natural constant, and the value of e is 2.71828;
step P4: and (3) obtaining a quality coefficient threshold value ZLmin through the database, and comparing the quality coefficient ZLx of the same batch of products in the quality inspection warehouse with the quality coefficient threshold value ZLmin.
2. The industrial 4.0-based product quality analysis traceability system of claim 1, wherein said step P2, the way of acquiring the fiber length uniformity CJ of the same batch of products in the quality inspection warehouse comprises the following steps:
step P21: dividing a cotton product into a plurality of areas, randomly selecting one area as a detection product, dividing the detection product into detection areas i, i is 1, 2, … …, n, obtaining the average value of the fiber length of the detection area i, and marking the average value of the fiber length of the detection area i as CDi;
step P21: acquiring a fiber length standard value, and marking the fiber length standard value as CDb;
step P23: by the formula
Obtaining a fiber length detection value CQ;
step P24: obtaining the fiber length uniformity CJ of the products in the same batch in the quality inspection warehouse through a formula CJ which is theta multiplied by CQ, wherein theta is a proportionality coefficient, and the value taking process of theta is as follows: the fiber length detection threshold value CQmax is obtained by the database, and the fiber length detection value CQ is compared with the fiber length detection threshold value CQmax.
3. The industrial 4.0-based product quality analysis traceability system of claim 2, wherein the comparison of the fiber length detection value CQ with the fiber length detection threshold value CQmax in the step P24 comprises:
if CQ is less than or equal to CQmax, the value of theta is 1;
if CQ > CQmax, then θ takes on a value of 1.2.
4. The industrial 4.0-based product quality analysis traceability system of claim 1, wherein the comparison of the quality coefficient ZLx with the quality coefficient threshold ZLmin in the step P4 comprises:
if ZLx is not more than ZLmin, the quality of the same batch of products in the corresponding quality inspection warehouse is judged not to meet the processing requirement, and the quality inspection module sends a rework signal to the processor;
and if ZLx is greater than ZLmin, judging that the quality of the same batch of products in the corresponding quality inspection warehouse meets the processing requirement, and sending a quality qualified signal to the processor by the quality inspection module.
5. The industrial 4.0-based product quality analysis traceability system of claim 1, wherein said market research module is configured to research and analyze the market popularity of cotton products.
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