CN113935654A - Production process selection method and system based on multifunctional home textile product - Google Patents
Production process selection method and system based on multifunctional home textile product Download PDFInfo
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Abstract
The invention provides a production process selection method and a production process selection system based on a multifunctional home textile product, wherein the method comprises the following steps: obtaining basic information of a first home textile; obtaining functional requirement information of the first home textile product; obtaining first market demand information, and obtaining a first distribution weight influence parameter of the functional demand information; obtaining first company investment degree information and obtaining a second distribution weight influence parameter of the functional demand; acquiring an actual function demand parameter of the first home textile; obtaining a first output result; and selecting the production process of the first home textile product according to the first output result. The technical problem that market demands and company characteristics cannot be comprehensively considered to perform intelligent process selection in the prior art is solved, the functional demands of the market are combined, and the technical effect of performing intelligent process selection according to company investment and the emphasis characteristics is achieved.
Description
Technical Field
The invention relates to the technical field of artificial intelligence, in particular to a production process selection method and system based on a multifunctional home textile product.
Background
The production line of the automatic production and processing of home textile products in China today is mostly realized, a cloth belt feeding machine is used for feeding a conveying belt synchronously, the conveying belt is completely matched with a sewing machine, meanwhile, the whole piece of cloth can be sewn, and the computer temperature control printing technology is matched, so that the production line of the automatic home textile equipment is formed in a combined mode. The related technology of the home textile industry comprises the processes of distributing color proportion, determining fabric, determining patterns, determining fabric structure and determining finished products, the production line of automatic home textile equipment only solves the problems in the production aspect, the effect aspect of the finished products is not considered, and the judgment of the effect of the finished products mostly depends on manual work.
However, in the process of implementing the technical solution of the invention in the embodiments of the present application, the inventors of the present application find that the above-mentioned technology has at least the following technical problems:
the technical problem that intelligent process selection cannot be performed by comprehensively considering market demands and company characteristics exists in the prior art.
Disclosure of Invention
The embodiment of the application provides a production process selection method and a production process selection system based on multifunctional home textile products, solves the technical problem that intelligent process selection cannot be performed by comprehensively considering market demands and company characteristics in the prior art, achieves the technical effects of combining functional demands of the market and performing intelligent process selection according to company investment and emphasis characteristics.
In view of the above problems, the embodiments of the present application provide a production process selection method based on a multifunctional home textile product.
A first aspect of an embodiment of the present application provides a method for selecting a production process based on a multifunctional home textile product, where the method is applied to an intelligent process control system, and the method includes: obtaining basic information of a first home textile; acquiring functional demand information of the first home textile product according to the basic information; obtaining first market demand information, and obtaining a first distribution weight influence parameter of the functional demand information according to the first market demand information; obtaining first company investment degree information, and obtaining a second distribution weight influence parameter of the functional requirement according to the first company investment degree information; performing weight distribution on the functional demand information according to the first distribution weight influence parameter and the second distribution weight influence parameter to obtain an actual functional demand parameter of the first home textile; inputting the basic information and the actual function demand parameters into a process parameter distribution model to obtain a first output result; and selecting the production process of the first home textile product according to the first output result.
A second aspect of an embodiment of the present application provides a production process selection system based on a multifunctional home textile product, wherein the system includes: a first obtaining unit: the first obtaining unit is used for obtaining basic information of a first home textile product; a second obtaining unit: the second obtaining unit is used for obtaining the functional requirement information of the first home textile product according to the basic information; a third obtaining unit: the third obtaining unit is used for obtaining first market demand information and obtaining a first distribution weight influence parameter of the functional demand information according to the first market demand information; a fourth obtaining unit: the fourth obtaining unit is used for obtaining first company investment degree information and obtaining a second distribution weight influence parameter of the functional requirement according to the first company investment degree information; a fifth obtaining unit: the fifth obtaining unit is configured to perform weight distribution on the functional requirement information according to the first distribution weight influence parameter and the second distribution weight influence parameter, so as to obtain an actual functional requirement parameter of the first home textile product; a sixth obtaining unit: the sixth obtaining unit is used for inputting the basic information and the actual function demand parameters into a process parameter distribution model to obtain a first output result; a first execution unit: the first execution unit is used for selecting the production process of the first home textile product according to the first output result.
In a third aspect, an embodiment of the present application further provides a device of a production process selection system for a multifunctional home textile product, including a memory, a processor, and a computer program stored in the memory and executable on the processor, where the processor implements the steps of the method according to the first aspect when executing the program.
One or more technical solutions provided in the embodiments of the present application have at least the following technical effects or advantages:
the basic information of the first home textile is obtained; acquiring functional demand information of the first home textile product according to the basic information; obtaining first market demand information, and obtaining a first distribution weight influence parameter of the functional demand information according to the first market demand information; obtaining first company investment degree information, and obtaining a second distribution weight influence parameter of the functional requirement according to the first company investment degree information; performing weight distribution on the functional demand information according to the first distribution weight influence parameter and the second distribution weight influence parameter to obtain an actual functional demand parameter of the first home textile; inputting the basic information and the actual function demand parameters into a process parameter distribution model to obtain a first output result; the technical method for selecting the production process of the first home textile product according to the first output result solves the technical problem that the market demand and the company characteristics cannot be comprehensively considered to perform intelligent process selection in the prior art, and achieves the technical effects of combining the functional demand of the market and performing intelligent process selection according to the company investment and the emphasis characteristics.
The foregoing description is only an overview of the technical solutions of the present application, and the present application can be implemented according to the content of the description in order to make the technical means of the present application more clearly understood, and the following detailed description of the present application is given in order to make the above and other objects, features, and advantages of the present application more clearly understandable.
Drawings
The embodiments of the present invention will be described in conjunction with flow charts and the following brief description:
fig. 1 is a schematic flow chart of a selection method of a production process based on a multifunctional home textile product according to an embodiment of the present application;
fig. 2 is a flowchart of acquiring information of a first company investment degree based on a selection method of a production process of a multifunctional home textile product according to an embodiment of the present application;
fig. 3 is a flow chart of a method for selecting a production process based on a multifunctional home textile product according to an embodiment of the present application, for obtaining adjustment of production process parameters and executing the adjustment;
fig. 4 is a flowchart of the first matching result obtained by the method for selecting the production process based on the multifunctional home textile product according to the embodiment of the present application;
fig. 5 is a flowchart illustrating a method for selecting a production process based on a multifunctional home textile product according to an embodiment of the present application to obtain a first output result and execute the method;
fig. 6 is a flowchart of adjusting the first output result based on the selection method of the production process of the multifunctional home textile product according to the embodiment of the present application;
fig. 7 is a schematic view of the input degree information acquisition process of the multifunctional home textile product-based production process selection method according to the embodiment of the present application;
fig. 8 is a structural diagram of a selection system of a production process based on a multifunctional home textile product according to an embodiment of the present application;
fig. 9 is a schematic hardware configuration operation diagram according to an embodiment of the present application.
Description of reference numerals: a first obtaining unit 11, a second obtaining unit 12, a third obtaining unit 13, a fourth obtaining unit 14, a fifth obtaining unit 15, a sixth obtaining unit 16, a first executing unit 17, an electronic device 300, a memory 301, a processor 302, a communication interface 303, and a bus architecture 304.
Detailed Description
The embodiment of the application provides a production process selection method and a production process selection system based on multifunctional home textile products, solves the technical problem that intelligent process selection cannot be performed by comprehensively considering market demands and company characteristics in the prior art, achieves the technical effects of combining functional demands of the market and performing intelligent process selection according to company investment and emphasis characteristics.
Summary of the application
Most of domestic textile products are produced by automatic production lines, but the textile industry faces the situations of rising raw material cost, rising labor cost and fierce market competition, so that professional textile talents are difficult to cultivate and have the problem of serious outflow of practitioners. The production line of the automatic home textile equipment only solves the problems in the production aspect, the effect of the finished product is not considered, and the judgment of the effect of the finished product mostly depends on manual work. The technical problem that the market demand and the company characteristics cannot be comprehensively considered to carry out intelligent process selection exists in the prior art of home textile processing. In view of the above technical problems, the technical solution provided by the present application has the following general idea:
the embodiment of the application provides a production process selection method based on a multifunctional home textile product, wherein the method is applied to an intelligent process control system, and the method comprises the following steps: obtaining basic information of a first home textile; acquiring functional demand information of the first home textile product according to the basic information; obtaining first market demand information, and obtaining a first distribution weight influence parameter of the functional demand information according to the first market demand information; obtaining first company investment degree information, and obtaining a second distribution weight influence parameter of the functional requirement according to the first company investment degree information; performing weight distribution on the functional demand information according to the first distribution weight influence parameter and the second distribution weight influence parameter to obtain an actual functional demand parameter of the first home textile; inputting the basic information and the actual function demand parameters into a process parameter distribution model to obtain a first output result; and selecting the production process of the first home textile product according to the first output result.
In order to better understand the technical solution, the technical solution will be described in detail with reference to the drawings and the specific embodiments.
Example one
As shown in fig. 1, an embodiment of the present application provides a method for selecting a production process based on a multifunctional home textile product, where the method is applied to an intelligent process control system, and the method includes:
s100: obtaining basic information of a first home textile;
specifically, the first home textile product home textile can be a curtain, a cloth art, a back cushion, a bedding product, a carpet, a bath towel, a kitchen textile, a bed cover, a mosquito net, a summer sleeping mat, a quilt, a blanket, a pillow or any other home textile product, basic information of the first home textile product includes color, fabric, patterns, a fabric structure of the first home textile product, a process of processing a finished product, and technology or other multi-aspect information added for ensuring different functionality in the processing process, the basic information of the first home textile product is obtained, namely, the first home textile product information is centralized from the product, and a foundation is provided for analyzing and obtaining other data information for a subsequent first home textile product.
S200: acquiring functional demand information of the first home textile product according to the basic information;
specifically, the basic information is the basic information after market research of the first home textile product, the functional information of the first home textile product is the information obtained according to the functional requirements of different home textile products after passing through the audience group after market research, and the information comprises air permeability, skin-friendly property, softness, comfort, heat preservation effect, aesthetic property, aroma function, light transmittance, quick-drying technology, antibacterial effect or any other home textile product functions, the functional requirement information of the first home textile product is obtained according to the basic information, namely the functional requirement information of the first home textile product is obtained by combining the basic information of the first home textile product and the functionality of the first home textile product and performing functional preference selection according to the audience of the home textile product, namely the functional requirement information of the first home textile product is obtained by combining the basic information of the first home textile product from the product perspective, the functional demand information of the first home textile product has objectivity, and the reliability of the functional demand information of the first home textile product is guaranteed.
S300: obtaining first market demand information, and obtaining a first distribution weight influence parameter of the functional demand information according to the first market demand information;
specifically, the first market is a market for the first home textile product, and may be a panning, a kyoto, a virtuous ceremony, a piecing together, or other online shopping platform, or may be a selling platform in a suitable home, a large supermarket, a community storefront, or other online places, the first market demand information is a demand of the first home textile product in the first market, and the first market demand information reflects functional characteristics of a user concerning the same home textile product in the selling market in the process of selecting the same home textile product. For example, if a home textile product is selected as a bed sheet, market demand information research is performed in a first market, part of users pay attention to softness and breathability on the bed sheet selection, the other part of users pay attention to mite removal and antibacterial effects on the bed sheet selection, the rest of users pay attention to health care functions such as magnetic therapy, self-heating and the like on the bed sheet selection, and the first distribution weight influence parameter is obtained according to the number of the users. The weight refers to the relative importance degree of a certain factor in the overall evaluation, the higher the weight is, the more important the factor is, the functional requirement information of the first market can be embodied by the first distribution weight influence parameter, different functional requirements correspond to different weights, as in the above-mentioned sheet in the example, the user ratio of softness and air permeability is more than the sum of the ratio of mite removing antibacterial effect and the function user ratio in the health care aspect, that is, for the sheet in the first market, the weight ratio of softness and air permeability in the first distribution weight influence parameter is greater than the weight ratio of mite removing antibacterial effect and the function in the health care aspect, so that different functional requirements of the obtained sheet correspond to different weight ratios, and the later different weight ratio combinations form the first distribution weight influence parameter. The obtained first market demand information has practicability and specificity, and provides a data basis for subsequent data arrangement and analysis.
S400: obtaining first company investment degree information, and obtaining a second distribution weight influence parameter of the functional requirement according to the first company investment degree information;
specifically, the first company investment information is the first company investment cost in the manufacturing and selling process of the first home textile product, and includes labor for producing the first home textile product, cost for producing the first home textile product, loss of a mechanical processing product for producing the first home textile product, power consumption for producing the first home textile product, raw materials required for producing the first home textile product, raw material transportation required for the first home textile product, processing technology required for producing the first home textile product, or cost invested for achieving the functional requirements, in the above-mentioned example, the bed sheet is subjected to wool grinding treatment to achieve softness investment in various aspects, cotton is Xinjiang on the raw materials, the processing technology is subjected to wool grinding treatment, cost generated by technical upgrading of the technology such as bleaching technology, washing technology or whitening technology for improving softness, and the first company investment degree of softness and air permeability in the second distribution weight influence parameter is greater than mite-removing antibacterial agent for the bed sheet First company investments in effects and functions in healthcare, for the same product. However, for different products, such as a curtain, the light-blocking effect is a technique that is considered to be a priority, the degree of input of the first company of the curtain is lower than the degree of input of the first company of the sheet, the degree of input of the first company of the curtain in the light-blocking aspect is higher than the degree of input of the first company of the sheet, and the realization of the light-blocking effect is different from the first company investment cost for the realization of the softness, and the first company investment degree information of the sheet is different from the first company investment degree information of the curtain in the same function, that is, the first company investment degree information of the two products is different. The first company invested degree information obtains a second distribution weight influence parameter of the functional requirements, namely the second distribution weight influence parameter aims to explain that different products correspond to different functional requirements, and the cost of different functions is different from the realization point of view. The first company investment information is based on the functional requirements, so that the first company investment information is more specific and organized, invalid investment caused by mismatching of the first company investment and the functional requirements is avoided, and reliability is improved for subsequent data analysis.
S500: performing weight distribution on the functional demand information according to the first distribution weight influence parameter and the second distribution weight influence parameter to obtain an actual functional demand parameter of the first home textile;
in particular, both distribution weight influencing parameters combine the functional requirements, but the angles are different, as if the same function of the same product is different in the first company investment information and the first market demand information, the weight ratio of the first distribution weight influence parameter corresponding to the same function of the same product to the functional demand information corresponding to the second distribution weight influence parameter is different, for example, the light-blocking effect of the curtain is required, although the light-blocking rate is not required to reach 100% in the current function, the requirements of different positions where the curtain is installed on the light-blocking rate are different, the requirement of the light-blocking rate of a living room is lower than that of a bedroom, the light-blocking rate of the curtain is 60% -80%, the curtain is a common curtain used in the bedroom in the current market, the light-blocking rate is 10% -20% of window screens, the curtain is often used in the living room, and the 100% of light-blocking rate of the curtain is selected by part of people with special requirements. The analysis of the light-blocking effect of the curtain in the angle of the information of the incidence of the first company is to ensure that the basic benefits of the company reach high light-blocking rate, the demand of the light-blocking effect of the curtain in the first market is considered, the variety requirements of the curtain are more considered, the sales conditions of the high light-blocking rate, the common light-blocking rate and the low light-blocking rate in the first market are specific, and the fact that the functional demand information cannot completely represent the actual functional demand parameters is also explained. The actual function demand parameters of the first home textile product are obtained by weighting distribution of two distribution weight influence parameters corresponding to the functional demand information, and the actual function demand parameters of the first home textile product cannot be directly determined through an angle value, so that the obtained actual function demand parameters of the first home textile product are more representative and integral, and the reliability of the data of the actual function demand parameters of the first home textile product is ensured.
S600: inputting the basic information and the actual function demand parameters into a process parameter distribution model to obtain a first output result;
specifically, the process parameter distribution model is a Neural network model in machine learning, and a Neural Network (NN) is a complex Neural network system formed by widely interconnecting a large number of simple processing units (called neurons), reflects many basic features of human brain functions, and is a highly complex nonlinear dynamical learning system. Neural network models are described based on mathematical models of neurons. Artificial Neural Networks (ANN), is a description of the first-order properties of the human brain system. Briefly, it is a mathematical model. Training with a large amount of training data, wherein each set of training data comprises the base information and the actual functional requirement parameters and information for obtaining a first output result. Through supervised learning of the neural network model, the neural network model can process the input information more accurately, and therefore a more scientific and accurate first output result is obtained.
S700: and selecting the production process of the first home textile product according to the first output result.
Specifically, the production process selection of the first home textile is controlled by the first output result, so that the first home textile combines the basic information from the product perspective; obtaining the functional demand information in combination with the first market demand information from a market perspective; the first company investment information is combined from the perspective of a production manufacturer, including the manufacture and sale of a first home textile product and the investment to achieve the functional requirements. The production process selection of the first home textile product is more scientific and integrated, and the technical effect of combining the functional requirements of the market and carrying out intelligent process selection according to the investment and the emphasis characteristics of a company is achieved.
Further, as shown in fig. 2, obtaining the first company investment degree information, where the step S400 includes:
s710: obtaining first main printing product characteristic information of the first company;
s720: acquiring the budget information of the investment unit price of the first textile product of the first company;
s730: evaluating the function achievement degree of the functional demand information according to the first main printing product characteristic information and the investment unit price budget information to obtain a function achievement degree scheme set;
s740: and obtaining the entrance degree information based on the function realization degree scheme set.
Specifically, the first main printing product characteristic information is a product functional characteristic, such as softness and an antibacterial function of a bed sheet, and a non-product basic functional characteristic, such as crease resistance, pilling resistance, deformation resistance and fading resistance, the functional achievement degree of the functional demand information is evaluated according to the first main printing product characteristic information and the input unit price budget information, a functional achievement degree scheme set is obtained, the functional achievement degree of the functional demand information is evaluated according to the first main printing product characteristic information and the input unit price budget information, a specific functional implementation is not represented, the accuracy of obtaining the first company investment degree information can be guaranteed, and the reliability of a first company investment degree information result is guaranteed.
Further, as shown in fig. 3, the intelligent process control system is communicatively connected to the first image capturing device, and the method further includes:
s750: acquiring a production process image corresponding to the first output result through the first image acquisition device to obtain a first image set;
s760: carrying out influence characteristic matching on actual function demand parameters according to the first image set to obtain a first matching result;
s770: and adjusting the production process parameters of the first output result according to the first matching result.
Specifically, the intelligent process control system is in communication connection with a first image acquisition device, and the first image acquisition device is any device capable of acquiring videos, such as a camera device. And acquiring a first image through the first image acquisition device, wherein the first image is acquired by the first output result production process image, namely if the quilt cover processing production process is AB surface (namely quilt surface and close-to-the-skin surface) different materials, the quilt surface is processed by silk weaving, the close-to-the-skin surface is processed by cotton sanding, and the first image is acquired by the processed cloth of the quilt cover in the production process. Acquiring a production process image corresponding to the first output result through the first image acquisition device to obtain a first image set; according to the first image set, influence characteristic matching of actual function demand parameters is carried out, and particularly, when a convolution kernel is used for image processing, given input images are obtained, pixels in a small region of the input images become each corresponding pixel in the output images after weighted averaging, wherein a weight is defined by a function, and the function is called the convolution kernel. The convolution kernel focuses on local features, namely a standard feature is set, the matching degree of the features is evaluated according to the numerical value of the convolution kernel of the local feature part, a first feature is obtained according to a feature extraction result, the first feature is used as a first convolution feature, feature matching is carried out on the image of the first partition result, the matching degree of a target position and the target feature is judged according to the feature convolution results at different positions, and a calculation result of the feature matching degree, namely the first matching result, is obtained. And adjusting the production process parameters of the first output result according to the first matching result, so that the rationality of the production process parameters of the first home textile product is improved, and the intelligent process control system is applied to practice and is improved to practice.
Further, as shown in fig. 4, the embodiment of the present application includes:
s771: constructing a functional influence characteristic set;
s772: obtaining an influence characteristic value set according to the influence degree of each characteristic in the function influence characteristic set on the function;
s773: performing feature matching on the first image set according to the function influence feature set to obtain a first feature matching degree;
s774: and obtaining the first matching result according to the first feature matching degree and the influence feature value set.
Specifically, a functional influence characteristic set is constructed, for example, if a bed sheet is made of cotton, the anti-wrinkle effect needs to be considered, and the functional influence characteristic set specifically refers to common related technical problems in the industry and is obtained from big data as a main reference; obtaining an influence characteristic value set according to the influence degree of each characteristic in the function influence characteristic set on the function, determining the influence degree of each characteristic on the function through big data measurement and calculation by the connecting network according to the influence degree of each characteristic on the function, and performing weighted calculation on the influence degree of each characteristic in the function influence characteristic set on the function to obtain the influence characteristic value set; classifying a plurality of sample images according to a function influence feature set and a big data statistical result, extracting features of different types of materials, obtaining a first feature according to a feature extraction result, wherein the first feature is a feature extraction result of a product with solved function influence features, performing feature matching on the images, judging the matching degree of a target position and a target feature according to a feature convolution result, and obtaining a calculation result of a feature matching degree, namely obtaining the first feature matching degree; and obtaining the first matching result according to the first characteristic matching degree and the influence characteristic value set, so that the first matching result is obtained to be matched with the first output result, the objectivity and comprehensiveness of the first matching result are ensured, the real-time updating of the first output result is facilitated, the continuous improvement of production process parameters is ensured, and the reasonability and reliability of the real-time updating of data are improved.
Further, as shown in fig. 5, the embodiment of the present application includes:
s775: sampling image acquisition is carried out on the first home textile product through the first image acquisition device to obtain a second image set;
s776: performing quality detection on the first home textile product according to the second image set to obtain a first quality detection result;
s777: judging whether the first quality detection result meets a first preset requirement or not;
s778: when the first quality detection result does not meet the first preset requirement, first early warning information is obtained;
s779: and early warning is carried out on the first output result according to the first early warning information.
Specifically, the first image acquisition device is used for acquiring sampling images of the first home textile product to obtain a second image set, the sampling images are acquired to provide samples for sampling inspection, and the sampling inspection is also called sampling inspection, which is a statistical method and a theory for randomly extracting a small amount of products (samples) from a batch of products to inspect so as to judge whether the batch of products is qualified. The first quality detection result is from the perspective of product quality, whether the product meets a qualified standard is judged, the first predetermined requirement is the minimum requirement standard of product qualification, the first predetermined requirement is determined based on an industry qualified standard, and relevant industry standards can be consulted, for example, the GB/T33734-2017 woven infant bedding standard specifies that the woven fabric is used as a main material for processing the infant bedding. The first quality detection result is obtained by comparing the quality of the product, so that the first early warning information can show the quality of the first batch of first home textile products, the first early warning information can measure the quality of the first batch of first home textile products, and has an important reference value for improving the quality of the subsequent first home textile products, so that the quality of the first home textile products is ensured to meet the standard, and the system is also one of the embodiments that the system is different from an automatic production line of home textile products.
Further, as shown in fig. 6, an embodiment of the present application includes:
s7791: performing quality reason analysis on the first quality detection result to obtain a first quality reason analysis result;
s7792: performing production process factor proportion analysis according to the first quality reason analysis result to obtain a first analysis result;
s773: and adjusting the first output result according to the first analysis result.
Specifically, the first quality detection result is subjected to quality reason analysis to obtain a first quality reason analysis result, the first quality detection is passed to indicate that the process of the batch of first home textile products is mature, and the first quality detection is not passed to indicate that the process of the batch of first home textile products is to be optimized and perfected; the factor proportion analysis of the production process shows that the production process has poor crease-resistant effect on the first product quality, and the production process is improved by accurately adding terylene into the cotton product by using a blending technology to improve the crease-resistant effect. And adjusting the first output result according to the first analysis result, and further optimizing the first output result according to the first analysis result, so that the production process of the first home textile product is further improved, the quality of the first home textile product is further improved, the first quality detection result meets a first preset requirement, and the method has important value for further improving the production process of the first home textile product.
Further, as shown in fig. 7, obtaining the entrance degree information based on the function implementation degree scheme set, step S740 includes:
s741: carrying out implementation degree characteristic sequence sorting on the first main printing product characteristic information on the function implementation degree scheme set to obtain a first sorting result set;
s742: obtaining first cost identification information, and performing cost performance calculation according to the first sequencing result set and the first cost identification information to obtain a first cost performance constraint parameter;
s743: and obtaining the input degree information according to the first sequencing result set and the first cost performance constraint parameter.
Specifically, the first main printing product is a home textile product which is intensively input by the first company, and the first cost performance constraint parameter is a cross point of two functions, namely, a function realization degree of the first main printing product and first cost information of the first main printing product, because the higher the function realization degree of the first main printing product is, the higher the first cost of the first main printing product is; the lower the function realization degree of the first main printing product is, the lower the first cost of the first main printing product is, the cross point of the two functions is obtained after the function realization degree of the first main printing product is coordinated with the first cost information of the first main printing product, so that the investment degree information of the first company is optimized, the problem that the function realization degree cannot reach the first quality detection result due to mismatching of the investment degree of the first company is avoided from the aspects of cost and function realization degree, and the accuracy of the investment degree information of the first company is comprehensively, uniformly, specifically and reasonably ensured.
In summary, the method and the system for selecting the production process based on the multifunctional home textile provided by the embodiment of the application have the following technical effects:
1. the basic information of the first home textile is obtained; acquiring functional demand information of the first home textile product according to the basic information; obtaining first market demand information, and obtaining a first distribution weight influence parameter of the functional demand information according to the first market demand information; obtaining first company investment degree information, and obtaining a second distribution weight influence parameter of the functional requirement according to the first company investment degree information; performing weight distribution on the functional demand information according to the first distribution weight influence parameter and the second distribution weight influence parameter to obtain an actual functional demand parameter of the first home textile; inputting the basic information and the actual function demand parameters into a process parameter distribution model to obtain a first output result; the production process of the first home textile product is selected according to the first output result, the technical problem that in the prior art, market requirements and company characteristics cannot be comprehensively considered to perform intelligent process selection is solved, and the technical effects that the intelligent process selection is performed according to the company investment and the emphasis characteristics in combination with the functional requirements of the market are achieved.
2. Acquiring a production process image corresponding to the first output result by using the first image acquisition device to obtain a first image set; carrying out influence characteristic matching on actual function demand parameters according to the first image set to obtain a first matching result; the technical problems that theoretical data cannot be continuously optimized through practice and production process parameters cannot be intelligently allocated in the prior art are solved by adjusting the production process parameters of the first output result according to the first matching result, the rationality of the production process parameters of the first home textile product is improved, the production process parameters of the first home textile product are further optimized, and the intelligent process control system is applied to practice and is improved.
Example two
The embodiment of the present application provides a production process selection system based on a multifunctional home textile product, and based on a production process selection method based on a multifunctional home textile product in the first embodiment, as shown in fig. 8, the system should include:
a first obtaining unit 11 for obtaining basic information of a first home textile;
a second obtaining unit 12, configured to obtain functional requirement information of the first home textile product according to the basic information;
a third obtaining unit 13, configured to obtain first market demand information, and obtain a first distribution weight influence parameter of the functional demand information according to the first market demand information;
a fourth obtaining unit 14, configured to obtain first company investment degree information, and obtain a second distribution weight influence parameter of the functional demand according to the first company investment degree information;
a fifth obtaining unit 15, configured to perform weight distribution on the functional requirement information according to the first distribution weight influence parameter and the second distribution weight influence parameter, so as to obtain an actual functional requirement parameter of the first home textile product;
a sixth obtaining unit 16, configured to input the basic information and the actual function requirement parameter into a process parameter distribution model, and obtain a first output result;
a first execution unit 17, configured to select a production process of the first home textile product according to the first output result.
Further, the system comprises:
a seventh obtaining unit, configured to obtain first master printing product feature information of the first company;
an eighth obtaining unit configured to obtain budget information on an input unit price of the first home textile of the first company;
a ninth obtaining unit, configured to perform function achievement degree evaluation on the functional demand information according to the first main printing feature information and the investment unit price budget information, and obtain a function achievement degree scheme set;
a tenth obtaining unit for obtaining the engagement degree information based on the set of function achievement degree schemes.
Further, the system comprises:
an eleventh obtaining unit, configured to perform production process image acquisition corresponding to the first output result through the first image acquisition device to obtain a first image set;
a twelfth obtaining unit, configured to perform influence feature matching on the actual function demand parameter according to the first image set, and obtain a first matching result;
and the second execution unit is used for adjusting the production process parameters of the first output result according to the first matching result.
Further, the system comprises:
a first construction unit for constructing a set of functional impact features;
a thirteenth obtaining unit, configured to obtain a set of influence feature values according to a degree of influence of each feature in the set of function influence features on the function;
a fourteenth obtaining unit, configured to perform feature matching on the first image set according to the function-affected feature set to obtain a first feature matching degree;
a fifteenth obtaining unit, configured to obtain the first matching result according to the first feature matching degree and the influence feature value set.
Further, the system comprises:
a sixteenth obtaining unit, configured to perform sampling image acquisition on the first home textile product through the first image acquisition device to obtain a second image set;
a seventeenth obtaining unit, configured to perform quality detection on the first home textile according to the second image set, to obtain a first quality detection result;
a first judging unit, configured to judge whether the first quality detection result meets a first predetermined requirement;
an eighteenth obtaining unit, configured to obtain first warning information when the first quality detection result does not meet the first predetermined requirement;
and the third execution unit is used for carrying out early warning on the first output result according to the first early warning information.
Further, the system comprises:
a nineteenth obtaining unit, configured to perform quality cause analysis on the first quality detection result to obtain a first quality cause analysis result;
a twentieth obtaining unit, configured to perform production process factor proportion analysis according to the first quality cause analysis result, and obtain a first analysis result;
a fourth execution unit, configured to perform the first output result adjustment according to the first analysis result.
Further, the system comprises:
a twenty-first obtaining unit, configured to perform implementation degree feature order sorting on the first main printing product feature information on the function implementation degree scheme set to obtain a first sorting result set;
a twenty-second obtaining unit, configured to obtain first cost identification information, perform cost performance calculation according to the first sorting result set and the first cost identification information, and obtain a first cost performance constraint parameter;
a twenty-third obtaining unit, configured to obtain the investment degree information according to the first sorting result set and the first cost performance constraint parameter.
Exemplary electronic device
The electronic device according to an embodiment of the present application is described below with reference to fig. 9, and based on the same inventive concept as the method for selecting a production process based on a multifunctional home textile product according to the foregoing embodiment, the embodiment of the present application further provides a production process system based on a multifunctional home textile product, including: a processor coupled to a memory, the memory for storing a program that, when executed by the processor, causes a system to perform the method of any of the first aspects.
The electronic device 300 includes: processor 302, communication interface 303, memory 301. Optionally, the electronic device 300 may also include a bus architecture 304. Wherein, the communication interface 303, the processor 302 and the memory 301 may be connected to each other through a bus architecture 304; the bus architecture 304 may be a Peripheral Component Interconnect (PCI) bus, an Extended Industry Standard Architecture (EISA) bus, or the like. The bus architecture 304 may be divided into an address bus, a data bus, a control bus, and the like. For ease of illustration, only one thick line is shown in FIG. 9, but this does not indicate only one bus or one type of bus.
The communication interface 303 may be any device, such as a transceiver, for communicating with other devices or communication networks, such as an ethernet, a Radio Access Network (RAN), a Wireless Local Area Network (WLAN), a wired access network, and the like.
The memory 301 may be, but is not limited to, a ROM or other type of static storage device that can store static information and instructions, a RAM or other type of dynamic storage device that can store information and instructions, an electrically erasable Programmable read-only memory (EEPROM), a compact-read-only-memory (CD-ROM) or other optical disk storage, optical disk storage (including compact disk, laser disk, optical disk, digital versatile disk, blu-ray disk, etc.), a magnetic disk storage medium or other magnetic storage device, or any other medium that can be used to carry or store desired program code in the form of instructions or data structures and that can be accessed by a computer. The memory may be self-contained and coupled to the processor through a bus architecture 304. The memory may also be integral to the processor.
The memory 301 is used for storing computer-executable instructions for executing the present application, and is controlled by the processor 302 to execute. The processor 302 is configured to execute the computer-executable instructions stored in the memory 301, so as to implement the method for selecting a production process based on a multifunctional home textile product provided by the above-mentioned embodiments of the present application.
Optionally, the computer-executable instructions in the embodiments of the present application may also be referred to as application program codes, which are not specifically limited in the embodiments of the present application.
The embodiment of the application provides a production process selection method based on a multifunctional home textile product, wherein the method is applied to an intelligent process control system, and the method comprises the following steps: obtaining basic information of a first home textile; acquiring functional demand information of the first home textile product according to the basic information; obtaining first market demand information, and obtaining a first distribution weight influence parameter of the functional demand information according to the first market demand information; obtaining first company investment degree information, and obtaining a second distribution weight influence parameter of the functional requirement according to the first company investment degree information; performing weight distribution on the functional demand information according to the first distribution weight influence parameter and the second distribution weight influence parameter to obtain an actual functional demand parameter of the first home textile; inputting the basic information and the actual function demand parameters into a process parameter distribution model to obtain a first output result; and selecting the production process of the first home textile product according to the first output result.
Those of ordinary skill in the art will understand that: the various numbers of the first, second, etc. mentioned in this application are only used for the convenience of description and are not used to limit the scope of the embodiments of this application, nor to indicate the order of precedence. "and/or" describes the association relationship of the associated objects, meaning that there may be three relationships, e.g., a and/or B, which may mean: a exists alone, A and B exist simultaneously, and B exists alone. The character "/" generally indicates that the former and latter associated objects are in an "or" relationship. "at least one" means one or more. At least two means two or more. "at least one," "any," or similar expressions refer to any combination of these items, including any combination of singular or plural items. For example, at least one (one ) of a, b, or c, may represent: a, b, c, a-b, a-c, b-c, or a-b-c, wherein a, b, c may be single or multiple.
In the above embodiments, the implementation may be wholly or partially realized by software, hardware, firmware, or any combination thereof. When implemented in software, may be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. When loaded and executed on a computer, cause the processes or functions described in accordance with the embodiments of the application to occur, in whole or in part. The computer may be a general purpose computer, a special purpose computer, a network of computers, or other programmable device. The computer instructions may be stored in a computer readable storage medium or transmitted from one computer readable storage medium to another, for example, from one website site, computer, server, or data center to another website site, computer, server, or data center via wired (e.g., coaxial cable, fiber optic, Digital Subscriber Line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.). The computer-readable storage medium can be any available medium that can be accessed by a computer or a data storage device including one or more available media integrated servers, data centers, and the like. The usable medium may be a magnetic medium (e.g., floppy Disk, hard Disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium (e.g., Solid State Disk (SSD)), among others.
The various illustrative logical units and circuits described in this application may be implemented or operated upon by design of a general purpose processor, a digital signal processor, an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA) or other programmable logic device, discrete gate or transistor logic, discrete hardware components, or any combination thereof. A general-purpose processor may be a microprocessor, but in the alternative, the processor may be any conventional processor, controller, microcontroller, or state machine. A processor may also be implemented as a combination of computing devices, e.g., a digital signal processor and a microprocessor, a plurality of microprocessors, one or more microprocessors in conjunction with a digital signal processor core, or any other similar configuration.
The steps of a method or algorithm described in the embodiments herein may be embodied directly in hardware, in a software element executed by a processor, or in a combination of the two. The software cells may be stored in RAM memory, flash memory, ROM memory, EPROM memory, EEPROM memory, registers, hard disk, a removable disk, a CD-ROM, or any other form of storage medium known in the art. For example, a storage medium may be coupled to the processor such the processor can read information from, and write information to, the storage medium. In the alternative, the storage medium may be integral to the processor. The processor and the storage medium may reside in an ASIC, which may be disposed in a terminal. In the alternative, the processor and the storage medium may reside in different components within the terminal. These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
It should be understood that, in the various embodiments of the present application, the sequence numbers of the above-mentioned processes do not mean the execution sequence, and the execution sequence of each process should be determined by its function and inherent logic, and should not constitute any limitation to the implementation process of the embodiments of the present application.
In the several embodiments provided in this application, it should be understood that the disclosed system, and method may be implemented in other ways. For example, the above-described system embodiments are merely illustrative, and for example, the division of the units is only one logical functional division, and other divisions may be realized in practice, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, systems or units, and may be in an electrical, mechanical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit.
Although the present application has been described in conjunction with specific features and embodiments thereof, it will be evident that various modifications and combinations can be made thereto without departing from the spirit and scope of the application. Accordingly, the specification and figures are merely exemplary of the present application as defined in the appended claims and are intended to cover any and all modifications, variations, combinations, or equivalents within the scope of the present application. It will be apparent to those skilled in the art that various changes and modifications may be made in the present application without departing from the scope of the application. Thus, if such modifications and variations of the present application fall within the scope of the claims of the present application and their equivalents, the present application is intended to include such modifications and variations.
Claims (9)
1. A production process selection method based on multifunctional home textile products is applied to an intelligent process control system, and comprises the following steps:
obtaining basic information of a first home textile;
acquiring functional demand information of the first home textile product according to the basic information;
obtaining first market demand information, and obtaining a first distribution weight influence parameter of the functional demand information according to the first market demand information;
obtaining first company investment degree information, and obtaining a second distribution weight influence parameter of the functional requirement according to the first company investment degree information;
performing weight distribution on the functional demand information according to the first distribution weight influence parameter and the second distribution weight influence parameter to obtain an actual functional demand parameter of the first home textile;
inputting the basic information and the actual function demand parameters into a process parameter distribution model to obtain a first output result;
and selecting the production process of the first home textile product according to the first output result.
2. The method of claim 1, wherein the obtaining first corporate engagement information further comprises:
obtaining first main printing product characteristic information of the first company;
acquiring the budget information of the investment unit price of the first textile product of the first company;
evaluating the function achievement degree of the functional demand information according to the first main printing product characteristic information and the investment unit price budget information to obtain a function achievement degree scheme set;
and obtaining the entrance degree information based on the function realization degree scheme set.
3. The method of claim 1, wherein the intelligent process control system is communicatively coupled to a first image acquisition device, the method further comprising:
acquiring a production process image corresponding to the first output result through the first image acquisition device to obtain a first image set;
carrying out influence characteristic matching on actual function demand parameters according to the first image set to obtain a first matching result;
and adjusting the production process parameters of the first output result according to the first matching result.
4. The method of claim 3, wherein the method further comprises:
constructing a functional influence characteristic set;
obtaining an influence characteristic value set according to the influence degree of each characteristic in the function influence characteristic set on the function;
performing feature matching on the first image set according to the function influence feature set to obtain a first feature matching degree;
and obtaining the first matching result according to the first feature matching degree and the influence feature value set.
5. The method of claim 3, wherein the method further comprises:
sampling image acquisition is carried out on the first home textile product through the first image acquisition device to obtain a second image set;
performing quality detection on the first home textile product according to the second image set to obtain a first quality detection result;
judging whether the first quality detection result meets a first preset requirement or not;
when the first quality detection result does not meet the first preset requirement, first early warning information is obtained;
and early warning is carried out on the first output result according to the first early warning information.
6. The method of claim 5, wherein the method further comprises:
performing quality reason analysis on the first quality detection result to obtain a first quality reason analysis result;
performing production process factor proportion analysis according to the first quality reason analysis result to obtain a first analysis result;
and adjusting the first output result according to the first analysis result.
7. The method of claim 2, wherein the obtaining the engagement information based on the set of functional implementation schemes further comprises:
carrying out implementation degree characteristic sequence sorting on the first main printing product characteristic information on the function implementation degree scheme set to obtain a first sorting result set;
obtaining first cost identification information, and performing cost performance calculation according to the first sequencing result set and the first cost identification information to obtain a first cost performance constraint parameter;
and obtaining the input degree information according to the first sequencing result set and the first cost performance constraint parameter.
8. A multifunctional home textile-based production process selection system, wherein the system comprises:
a first obtaining unit: the first obtaining unit is used for obtaining basic information of a first home textile product;
a second obtaining unit: the second obtaining unit is used for obtaining the functional requirement information of the first home textile product according to the basic information;
a third obtaining unit: the third obtaining unit is used for obtaining first market demand information and obtaining a first distribution weight influence parameter of the functional demand information according to the first market demand information;
a fourth obtaining unit: the fourth obtaining unit is used for obtaining first company investment degree information and obtaining a second distribution weight influence parameter of the functional requirement according to the first company investment degree information;
a fifth obtaining unit: the fifth obtaining unit is configured to perform weight distribution on the functional requirement information according to the first distribution weight influence parameter and the second distribution weight influence parameter, so as to obtain an actual functional requirement parameter of the first home textile product;
a sixth obtaining unit: the sixth obtaining unit is used for inputting the basic information and the actual function demand parameters into a process parameter distribution model to obtain a first output result;
a first execution unit: the first execution unit is used for selecting the production process of the first home textile product according to the first output result.
9. An apparatus selected based on a production process of a multifunctional home textile product, comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor implements the steps of the method of any one of claims 1 to 7 when executing the program.
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN114997605A (en) * | 2022-05-16 | 2022-09-02 | 南京惠若化工科技有限公司 | Intelligent planning method and system for degradable resin production route |
| CN114997605B (en) * | 2022-05-16 | 2023-09-12 | 南京惠若化工科技有限公司 | Intelligent planning method and system for degradable resin production route |
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