Method and device for digitally producing textile fabric

Abstract

The invention provides a method and device for digitally producing textile fabrics, and belongs to the technical field of textile production, and the method comprises the steps: obtaining customer order information; obtaining raw material information according to the order information; obtaining raw material inventory information of a raw material manufacturer according to the raw material information; judging whether the raw material inventory information meets the raw material information; if yes, purchase information is obtained; obtaining production equipment information of a manufacturer; acquiring equipment information which can be used for producing the first customer order in the production equipment information and acquiring productivity information of equipment; obtaining production and sales information of a manufacturer; obtaining a production influence degree; and determining a production scheme according to the purchase information, the production influence degree and the customer order information. The technical problem that the production efficiency is low due to the fact that the production scheme is not good in the existing textile fabric production technology is solved, and the technical effects of automatically and efficiently generating the optimal production scheme and improving the production efficiency are achieved.

Description

Technical Field

[0001] The invention relates to the technical field of textile production, and in particular to a method and device for digitally producing textiles. Background Art

[0002] With the digital upgrade of society and industrial transformation, all walks of life have realized production automation, networking and intelligence to meet the high-frequency changes in market demand and the requirements of accelerated product updates. However, the existing textile production plan design process mainly relies on relevant personnel to formulate production plans based on experience to judge customer order content and corporate resource conditions, which can no longer adapt to the requirements of market changes. Summary of the invention

[0003] The embodiments of the present invention provide a method and device for digitally producing textiles, aiming to solve the technical problem of poor production scheme and low production efficiency in the existing textile production technology.

[0004] In view of the above problems, the embodiments of the present application are proposed to provide a method and apparatus for digitally producing textiles.

[0005] In a first aspect, the present invention provides a method for digitally producing textiles, the method comprising: obtaining first customer order information, wherein the first customer order information includes a first textile; obtaining first raw material information based on the first customer order information; obtaining first raw material inventory information of a first raw material manufacturer based on the first raw material information; determining whether the first raw material inventory information satisfies the first raw material information; if the first raw material information is satisfied, obtaining first procurement information of the first manufacturer; obtaining first production equipment information of the first manufacturer; obtaining second production equipment information in the first production equipment information, wherein the second production equipment information is equipment information that can be used to produce the first customer order; obtaining first productivity information of the second production equipment; obtaining first production and sales information of the first manufacturer; obtaining a first production impact based on the first productivity information and the first production and sales information; and determining a first production plan based on the first procurement information, the first production impact, and the first customer order information.

[0006] In a second aspect, the present invention provides a device for digitally producing textiles, the device comprising: a customer order information module for obtaining first customer order information, wherein the first customer order information includes a first textile; a raw material information module for obtaining first raw material information according to the first customer order information; raw material inventory information for obtaining first raw material inventory information of a first raw material manufacturer according to the first raw material information; a raw material information judgment module for judging whether the first raw material inventory information satisfies the first raw material information; a manufacturer procurement information module for obtaining first procurement information of a first manufacturer if the first raw material information is satisfied; a production equipment information module for obtaining first production equipment information of a first manufacturer; an order equipment information module for obtaining second production equipment information in the first production equipment information, wherein the second production equipment information is equipment information that can be used to produce the first customer order; a productivity information equipment module for obtaining first productivity information of the second production equipment; a production and sales information module for obtaining first production and sales information of the first manufacturer; a production influence module for obtaining a first production influence according to the first productivity information and the first production and sales information; and a production plan determination module for determining a first production plan according to the first procurement information, the first production influence, and the first customer order information.

[0007] The above one or more technical solutions in the embodiments of the present application have at least one or more of the following technical effects: The method adopts the method of obtaining first customer order information, wherein the first customer order information includes a first textile; obtaining first raw material information according to the first customer order information; obtaining first raw material inventory information of a first raw material manufacturer according to the first raw material information; judging whether the first raw material inventory information satisfies the first raw material information; if the first raw material information is satisfied, obtaining first procurement information of the first manufacturer; obtaining first production equipment information of the first manufacturer; obtaining second production equipment information in the first production equipment information, wherein the second production equipment information is equipment information that can be used to produce the first customer order; obtaining first productivity information of the second production equipment; obtaining first production and sales information of the first manufacturer; obtaining a first production influence according to the first productivity information and the first production and sales information; determining a first production plan according to the first procurement information, the first production influence and the first customer order information, thereby solving the technical problem of poor production plans and low production efficiency in existing textile production technologies, and achieving the technical effect of automatically and efficiently generating the optimal production plan and improving production efficiency.

[0008] The above description is only an overview of the technical solution of the present invention. In order to more clearly understand the technical means of the present invention, it can be implemented according to the contents of the specification. In order to make the above and other purposes, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are listed below. BRIEF DESCRIPTION OF THE DRAWINGS

[0009] Figure 1 A possible flow chart of a method for digitally producing textiles is provided for an embodiment of the present application; Figure 2 A schematic diagram of a possible flow chart of obtaining a second operation instruction in a method for digitally producing textiles is provided for an embodiment of the present application; Figure 3 A schematic diagram of a possible process of setting the roll properties of a second textile in a method for digitally producing textiles is provided for an embodiment of the present application; Figure 4 A possible structural schematic diagram of a system for digitally producing textiles is provided for an embodiment of the present application.

[0010] Explanation of the accompanying drawings: customer order information module 11, raw material information module 12, raw material inventory information 13, raw material information judgment module 14, manufacturer procurement information module 15, production equipment information module 16, order equipment information module 17, productivity information equipment module 18, production and sales information module 19, production impact module 110, production plan determination module 111. DETAILED DESCRIPTION

[0011] The overall idea of ​​the technical solution provided by this application is as follows: The embodiment of the present application provides a method and device for digitally producing textiles, which automatically generates the optimal production plan by collecting and calculating digital data such as customer order information, raw material information, production equipment information, and productivity and sales information, replacing manual judgment.

[0012] First, the customer's order information is obtained, including the type and quantity of the textiles ordered, and then the required raw material information is determined based on the order information. The system will query the inventory information of the raw material manufacturer and automatically determine whether the order requirements are met. If so, the manufacturer's procurement information is obtained; if not, feedback is promptly provided to the customer and the order is requested to be modified. Secondly, the system obtains the manufacturer's equipment information and production capacity information, and automatically selects the equipment and its production capacity data that can be used for this order production. Combined with historical production and sales information, the impact of this order on the company's production is calculated. Finally, the system comprehensively considers the procurement information, the impact calculation results and the customer's order requirements, and automatically generates a detailed production plan, including material plan, machine equipment selection plan, production process parameters and other contents. This production plan meets the customer's order requirements to the greatest extent, while taking into account the company's production capacity and benefits.

[0013] After introducing the basic principles of the present application, the technical solution of the present application is described in detail through the accompanying drawings and specific embodiments. It should be understood that the embodiments of the present application and the specific features in the embodiments are detailed descriptions of the technical solution of the present application, rather than limitations on the technical solution of the present application. In the absence of conflict, the embodiments of the present application and the technical features in the embodiments can be combined with each other.

[0014] Embodiment 1 Figure 1 FIG. 1 is a flow chart of a method for digitally producing textiles according to an embodiment of the present invention. Figure 1 As shown, an embodiment of the present invention provides a method for digitally producing textiles, which is applied to a big data analysis platform, and the method includes: Step 100: obtaining first customer order information, wherein the first customer order information includes a first textile; Specifically, customers are groups that need to purchase products or services to meet certain needs, that is, individuals or enterprises that have direct economic relations with individuals or enterprises. The first customer is an individual or enterprise that needs textile products, and the order is the order voucher issued by the enterprise's procurement department to the supplier (including the entire procurement process of finished products, raw materials, fuel, parts, office supplies, services, etc.). Therefore, the first customer order is the information sent by the customer to the manufacturer, including information related to the textiles required by the customer, such as the total order volume required by the customer, the application environment, the applicable population, the transaction completion time, etc.

[0015] Step 200: Obtaining first raw material information according to the first customer order information; Specifically, after obtaining the first customer order information, the first raw material information required in the first customer order can be obtained from the first customer order through corresponding analysis on the big data analysis platform, such as cotton, polyester fiber, wool fiber, cotton yarn, blended yarn, polyester yarn, spandex stretch yarn, etc., wherein the big data analysis platform is an intelligent control platform for monitoring and managing the entire process of the first manufacturer before, during and after production.

[0016] Step 300: Obtaining first raw material inventory information of a first raw material manufacturer according to the first raw material information; Specifically, after obtaining the first raw material information, the corresponding inventory information of the first raw material manufacturer can be obtained based on the first raw material information. The first inventory information is the actual quantity of the first raw material stored in the warehouse of the first raw material manufacturer at the current time.

[0017] Step 400: Determine whether the first raw material inventory information satisfies the first raw material information; Step 500: If the first raw material information is satisfied, obtaining first procurement information of a first manufacturer; Specifically, after obtaining the inventory information of the first raw material, it is necessary to determine whether the inventory information of the first raw material satisfies the first raw material information, that is, to determine whether the inventory information of the first raw material can enable the manufacturer to complete the order quantity of the first customer order. Furthermore, when the inventory information of the first raw material satisfies the demand information of the first raw material, it means that the raw material inventory of the raw material manufacturer can complete the order quantity of the first customer, then the first procurement information of the first manufacturer is generated, wherein the first procurement information is a procurement demand order placed by the first manufacturer to the raw material manufacturer, and the company's material demand time plan is issued to the supplier in the form of a purchase order, and the entire logistics process is arranged and tracked to ensure that the materials arrive at the company on time to support the normal operation of the company, thereby achieving the purpose of forming a reasonable procurement plan and not wasting resources.

[0018] Step 600: Obtaining first production equipment information of a first manufacturer; Step 700: obtaining second production equipment information in the first production equipment information, wherein the second production equipment information is equipment information that can be used to produce the first customer order; Specifically, the first production equipment information refers to all the relevant equipment used for production in the production workshop of the first manufacturer, where the production equipment refers to the labor materials or utensils that are operated by the production workers during the production process and are necessary to directly change the properties, performance, form or enhance the appearance value of the raw materials. Such as blast furnaces, machine tools, reactors, printing and dyeing machines, etc. The quality of production equipment and its technological advancement directly affect the quality, precision, output and production efficiency of the products. As fixed assets, the value consumption of production equipment in the production process is gradually transferred to its products. Then, from the first production equipment, the second production equipment information can be obtained through the big data intelligent analysis platform, where the second production equipment is the production equipment that can be used to produce the first customer order in the first production equipment, that is, the equipment in the first production equipment that can realize the production of the first textile after the current production volume is completed.

[0019] Step 800: Obtaining first productivity information of the second production equipment; Specifically, the first productivity information of the second production equipment is obtained, and the first productivity information is the actual production volume of the product when the second production equipment is used to produce the first customer order. By judging the first productivity, the product production capacity of the manufacturer can be obtained to determine whether the order task volume can be completed on schedule, so as to achieve accurate design and arrangement of the production plan to achieve the purpose of improving customer satisfaction.

[0020] Step 900: Obtaining first production and sales information of the first manufacturer; Furthermore, in order to obtain more accurate first production and sales information to achieve the technical effect of accurately arranging the production plan, step 900 of the embodiment of the present application further includes: Step 910: Obtain a first preset time period; Step 920: obtaining sales information of a second textile within the first preset time period, wherein the second textile has a first similarity with the first textile; Step 930: obtaining first estimated sales information of the first textile according to the sales information of the second textile; Step 940: Obtain first mined customer information according to the first customer order information; Step 950: obtaining first actual ordering customer information from the first mined customer information; Step 960: Obtain the first production and sales information according to the first estimated sales information and the first actual order customer information.

[0021] Specifically, in order to obtain the first production and sales information of the first manufacturer, the specific method is as follows: first, it is necessary to obtain a first preset time period, wherein the first preset time period is a preset period of time, such as a month, a quarter, half a year, etc., which can be set according to actual needs and is not specifically limited in this embodiment. Then, the sales volume of the second textile in the first preset time period is obtained, and at this time, the second textile has a certain similarity with the first textile, and the similarity meets the threshold requirement of the similarity, and then the sales volume of the second textile can be predicted to obtain the first estimated sales volume information of the first textile; further, through the first customer order information, after analyzing the big data, the relevant potential customers of the first manufacturer can be obtained, that is, the first mined customer information can be obtained, and from the first mined customer information, the first actual order customer information can be obtained, that is, the customer information of the potential customers who actually place an order to the first manufacturer, so that the first production and sales information can be obtained from the first estimated sales volume information and the first actual order customer information, so that after analyzing the first production and sales information, the technical effect of arranging the production plan reasonably and standardizedly for the manufacturer can be achieved.

[0022] Step 1000: Obtaining a first production impact according to the first productivity information and the first production and sales information; Step 1100: Determine a first production plan based on the first procurement information, the first production impact, and the first customer order information.

[0023] Specifically, based on the first productivity information and the first production and sales information, we can correspondingly obtain the influence of the first productivity on orders and production plans, as well as the influence of the first production and sales information on orders and production plans. After comprehensive analysis, we can obtain the first production impact on the production plan. Finally, based on the first procurement information, the first production impact and the first customer order information, we can reasonably set the first production plan, thereby achieving the technical effect of formulating production plans scientifically and intelligently and improving the management level of manufacturers.

[0024] Furthermore, in order to accurately generate a product test report to improve the quality of the test and the effect of work efficiency, step 1100 of the embodiment of the present application further includes: Step 1110: Obtaining first textile finished product information according to the first production plan; Step 1120: obtaining first image information, wherein the first image information is standard parameter information of textiles; Step 1130: assembling a first training data set according to the first image information and the first textile finished product information; Step 1140: inputting the first training data set into a first training model, wherein the first training model is obtained by training multiple sets of training data, and each set of training data in the multiple sets of training data includes: the first image information, the first textile finished product information, and identification information used to identify the first output result; Step 1150: Obtain output information of the first training model, wherein the output information includes the first output result, wherein the first output result is production report information of the first textile finished product information.

[0025] Specifically, after the first production plan is formulated, the finished product can be produced according to the first production plan, thereby generating the first textile finished product information, and then obtaining the first image information. The first image information is also the standard requirement information of the first textile. Then, the first textile finished product information and the first image information are combined with the neural network model to output the production report information of the first textile finished product information.

[0026] Furthermore, the training model is a neural network model in a machine learning model, and the machine learning model can continuously learn through a large amount of data, and then continuously correct the model, and finally obtain satisfactory experience to process other data. The machine model is obtained by training with multiple sets of training data, and the process of training the neural network model with training data is essentially a supervised learning process. The training model in the embodiment of the present application is obtained by training with multiple sets of training data using machine learning, and each set of training data in the multiple sets includes: first image information, first textile finished product information, and identification information used to identify the first output result.

[0027] Among them, the identification information of the first output result is used as the supervision data. In each set of training data, the first image information and the first textile finished product information are supervised and learned to determine whether the output information of the training model reaches a convergence state. By comparing the first output result with the output result of the training model, when they are consistent, the supervised learning of this set of data is completed, and the supervised learning of the next set of data is carried out; when they are inconsistent, the training model performs self-correction until its output result is consistent with the identified first output result information, the supervised learning of this set is completed, and the supervised learning of the next set of data is carried out; through the supervised learning of a large amount of data, the output result of the machine learning model reaches a convergence state, and the supervised learning is completed. Through the process of supervised learning of the training model, the first output result information output by the training model is made more accurate, so that the product report of the product can be accurately generated, so as to improve the quality and work efficiency of the detection and ensure the accuracy of the detection.

[0028] Furthermore, after obtaining the first output result of the neural network model, such as Figure 2As shown, step 1150 of the embodiment of the present application also includes: Step 1151: determining whether the first textile finished product needs to be put into storage according to the first output result; Step 1152: if the first textile finished product needs to be put into storage, a first operation instruction is obtained, wherein the first operation instruction is used to mark the first textile finished product with a first storage label; Step 1153: When the first textile finished product needs to be shipped out, a second operation instruction is obtained, wherein the second operation instruction is used to mark the first textile finished product with a first shipping label.

[0029] Specifically, based on the first output result, it is determined whether it is necessary to perform a warehousing operation on the first textile finished product. Specifically: when the product inspection report output by the first output result is a qualified report, the first textile finished product needs to be put into storage; if the product inspection report output by the first output result is an unqualified quality report, the first textile finished product cannot be put into storage. Furthermore, if the inspection report is a qualified report, it is necessary to perform a warehousing operation on the information of the first textile finished product. After the first operation instruction is generated accordingly, the first textile finished product is marked with a first warehousing label under the instruction of the first operation instruction; further, when the first textile finished product needs to be shipped out, a second operation instruction is generated accordingly, and under the instruction of the second operation instruction, the first textile finished product is marked with a first shipping label, thereby achieving the technical effect of facilitating the intelligent management of product shipping and shipping in the warehouse, and facilitating information tracing when problems arise.

[0030] Furthermore, in order to achieve the effect of intelligent management of incoming products, such as Figure 3 As shown, step 1152 of the embodiment of the present application also includes: Step 11521: Obtain first classification information of the first textile finished product information; Step 11522: After classifying the first textile product according to the first classification information, obtain second textile information, wherein the second textile is a rolled textile under the same classification attribute; Step 11523: Obtaining preset roll classification label information; Step 11524: According to the preset roll classification label information, roll attributes of the second textile are set, wherein each roll of the second textile has a different attribute label.

[0031] Specifically, when the first textile finished product needs to be put into storage, the product needs to be specifically classified before being put into storage. First, the first classification information of the first textile finished product information needs to be obtained. The first classification information is the classification of the first textile finished product information according to the product attributes. For example, cotton cloth is classified into one category, polyester cloth is classified into one category, polyester fiber cloth is classified into one category, and so on. In this way, according to the first classification information, the first textile finished product can be classified to obtain the classified second textile information. At this time, the second textile is a roll of textile under the same classification attribute. Then, the preset roll classification label information is obtained, that is, according to the preset The demand for classification standard information of long rolls of textiles, for example, different label attributes for each roll of textiles according to production time and batch, then, the roll attributes of the second textile are set according to the preset roll classification label information, each roll of textiles in the second textile has different attribute labels, from which the relevant information of each roll of products can be obtained, such as factory time, production batch, ingredient composition, etc., to ensure that each roll of qualified products has different labels, so as to achieve the technical effect of being able to quickly and conveniently find and troubleshoot the root causes of any problems when they arise, improve the efficiency of product management, and improve the degree of intelligence of the enterprise.

[0032] Furthermore, in order to be able to intelligently monitor the production process, so as to effectively improve the degree of digitalization and intelligence of enterprise production and reduce the operating costs of the enterprise, step 1100 of the embodiment of the present application also includes: Step 1160: Obtaining first production process information according to the first production plan; Step 1170: determining a first bottleneck device in the second production equipment information according to the first production process information; Step 1180: obtaining a third device in the second production equipment information, wherein the third device is a production device of a previous process of the production process corresponding to the first bottleneck device; Step 1190: Obtain first capacity information of the first bottleneck device and second capacity information of the third device; Step 11100: Obtain a first capacity difference according to the first capacity information and the second capacity information; Step 11110: When the first capacity difference exceeds a preset capacity threshold, obtaining a first adjustment instruction; Step 11120: According to the first adjustment instruction, adjust the second capacity information so that the capacity difference between the second capacity information and the first capacity information is within the preset capacity threshold range.

[0033] Specifically, the first production process information can be obtained from the first production plan, wherein the first production process information is the specific processing technology for producing textiles. Based on the first production process information, the first bottleneck equipment in the second production equipment information can be determined. The first bottleneck equipment is the link with the weakest production capacity in the processing technology, or the link with the longest production time, that is, the process equipment that has a great impact on production efficiency. Then, the third equipment in the second production equipment information is obtained, and the third equipment is the production equipment corresponding to the previous process flow of the production process corresponding to the first bottleneck equipment. Further, the first capacity information of the first bottleneck equipment and the second capacity information of the third equipment are obtained, and then according to the first capacity information and the second capacity information, generally, the capacity corresponding to the first bottleneck equipment is lower than the capacity of the previous process, and then the capacity difference between the two capacities, that is, the first capacity difference, is obtained. When the first capacity difference exceeds the preset capacity threshold, it means that the second capacity of the third equipment is greater than the first capacity of the first bottleneck equipment and exceeds the preset value. Then, a first adjustment instruction needs to be generated, and according to the first adjustment instruction, the second capacity information is adjusted, so that the capacity difference between the second capacity information and the first capacity information is finally within the preset capacity threshold range. For example, controlling the second capacity of the third equipment can ensure the normal operation of the first bottleneck equipment, and at the same time cannot cause the processing flow of the first bottleneck equipment to be interrupted. The capacity portion of the third equipment that exceeds the first bottleneck equipment can be used to process other subsequent process flows, thereby achieving intelligent monitoring of the production process, so as to effectively improve the degree of digitalization and intelligence of enterprise production and reduce the effect of enterprise operating costs.

[0034] Furthermore, in order to be able to intelligently monitor the production process, so as to effectively improve the degree of digitalization and intelligence of enterprise production and reduce the operating costs of the enterprise, step 1160 of the embodiment of the present application also includes: Step 1161: obtaining first real-time video information of the first production process within a second preset time period; Step 1162: Obtaining first production volume information according to the first real-time video information; Step 1163: determining whether the first customer order can be completed within a preset time according to the first production volume information; Step 1164: If the first customer order cannot be completed within the preset time, a first control instruction is obtained, wherein the first control instruction is used to increase the production output of the first production process.

[0035] Specifically, the second preset time period is a pre-set time period, which can be set according to actual needs, so as to obtain the first real-time video information in the first production process within the second preset time period. The first real-time video information is the video information obtained by real-time monitoring of the production and processing process, so as to obtain the first production volume information through the first real-time video information, that is, the production volume information within the second preset time period. In this way, by analyzing the first production volume information, it can be determined whether the manufacturer can complete the first customer order according to the preset time. If the first customer order cannot be completed according to the preset time, a first control instruction is generated, and then under the instruction of the first control instruction, the production plan is adjusted, such as increasing the production output of the first production process, so as to achieve the technical effect of real-time monitoring of the production process and real-time control of the production volume, so as to timely adjust the production plan, improve the production efficiency of the enterprise, and ensure the production capacity.

[0036] Embodiment 2 Based on the same inventive concept as the method for digitally producing textiles in the aforementioned embodiment, the present invention also provides a device for digitally producing textiles, such as Figure 4 As shown, the device comprises: A customer order information module 11 is used to obtain first customer order information, wherein the first customer order information includes a first textile; A raw material information module 12, configured to obtain first raw material information according to the first customer order information; Raw material inventory information 13, used to obtain first raw material inventory information of a first raw material manufacturer according to the first raw material information; A raw material information determination module 14 is used to determine whether the first raw material inventory information satisfies the first raw material information; A manufacturer purchasing information module 15, used for obtaining first purchasing information of a first manufacturer if the first raw material information is satisfied; The production equipment information module 16 is used to obtain the first production equipment information of the first manufacturer; An order equipment information module 17 is used to obtain second production equipment information in the first production equipment information, wherein the second production equipment information is equipment information that can be used to produce the first customer order; A productivity information equipment module 18, used to obtain first productivity information of the second production equipment; A production and sales information module 19, used to obtain first production and sales information of the first manufacturer; The production impact module 110 is used to obtain a first production impact according to the first productivity information and the first production and sales information; The production plan determination module 111 is used to determine a first production plan according to the first procurement information, the first production impact, and the first customer order information.

[0037] Furthermore, the production and sales information module 19 includes the following execution steps: Obtaining a first preset time period; Obtaining sales information of a second textile within the first preset time period, wherein the second textile has a first similarity with the first textile; obtaining first estimated sales information of the first textile according to the sales information of the second textile; Obtaining first mined customer information according to the first customer order information; Obtaining first actual ordering customer information from the first mined customer information; The first production and sales information is obtained according to the first estimated sales volume information and the first actual order customer information.

[0038] Furthermore, the embodiment of the present application also includes a production plan execution module, which includes the following execution steps: According to the first production plan, obtaining first textile finished product information; Obtaining first image information, wherein the first image information is standard parameter information of textiles; assembling a first training data set based on the first image information and the first textile finished product information; Inputting the first training data set into a first training model, wherein the first training model is obtained by training multiple sets of training data, and each set of training data in the multiple sets of training data includes: the first image information, the first textile finished product information, and identification information used to identify the first output result; Output information of the first training model is obtained, wherein the output information includes the first output result, wherein the first output result is production report information of the first textile finished product information.

[0039] Furthermore, the production plan execution module also includes the following execution steps: Determining whether it is necessary to perform a warehousing operation on the first textile finished product according to the first output result; If the first textile finished product needs to be put into storage, a first operation instruction is obtained, wherein the first operation instruction is used to mark the first textile finished product with a first storage label; When the first textile finished product needs to be shipped out, a second operation instruction is obtained, wherein the second operation instruction is used to mark the first textile finished product with a first shipping label.

[0040] Furthermore, the production plan execution module also includes the following execution steps: Obtaining first classification information of the first textile finished product information; After classifying the first textile finished product according to the first classification information, second textile information is obtained, wherein the second textile is a rolled textile under the same classification attribute; Obtain preset roll classification label information; The roll attributes of the second textile are set according to the preset roll classification label information, wherein each roll of the second textile has a different attribute label.

[0041] Furthermore, the embodiment of the present application also includes a production capacity adjustment module, which includes the following execution steps: According to the first production plan, obtaining first production process information; Determine, according to the first production process information, a first bottleneck equipment in the second production equipment information; Obtaining a third device in the second production equipment information, wherein the third device is a production device of a previous process of the production process corresponding to the first bottleneck device; Obtaining first capacity information of the first bottleneck device and second capacity information of the third device; Obtaining a first capacity difference according to the first capacity information and the second capacity information; When the first capacity difference exceeds a preset capacity threshold, obtaining a first adjustment instruction; According to the first adjustment instruction, the second capacity information is adjusted so that the capacity difference between the second capacity information and the first capacity information is within the preset capacity threshold range.

[0042] Furthermore, the production capacity adjustment module also includes the following execution steps: Obtaining first real-time video information of the first production process within a second preset time period; Obtaining first production volume information according to the first real-time video information; Determining, based on the first production volume information, whether the first customer order can be completed within the preset time; If the first customer order cannot be completed within the preset time, a first regulation instruction is obtained, wherein the first regulation instruction is used to increase the production output of the first production process.

[0043] Any step of the method described above can be stored as a computer instruction or program in an unlimited computer memory, and can be called and recognized by an unlimited computer processor to implement any method in the embodiments of the present application, without any unnecessary restrictions.

[0044] Furthermore, the first or second mentioned above may not only represent an order relationship, but may also represent a specific concept, and / or refer to multiple elements that can be selected individually or in full. Obviously, those skilled in the art can make various changes and modifications to the present application without departing from the scope of the present application. Thus, if these modifications and variations of the present application fall within the scope of the present application and its equivalents, the present application intends to include these modifications and variations.

Claims

1. A method for digitally producing textiles, characterized in that: The method comprises: Obtaining first customer order information, wherein the first customer order information includes a first textile; Obtaining first raw material information according to the first customer order information; Obtaining first raw material inventory information of a first raw material manufacturer according to the first raw material information; Determining whether the first raw material inventory information satisfies the first raw material information; If the first raw material information is satisfied, obtaining the first procurement information of the first manufacturer; Obtaining first production equipment information of a first manufacturer; Obtaining second production equipment information from the first production equipment information, wherein the second production equipment information is equipment information that can be used to produce the first customer order; obtaining first productivity information of the second production equipment; Obtaining first production and sales information of the first manufacturer; Obtaining a first production impact according to the first productivity information and the first production and sales information; A first production plan is determined based on the first procurement information, the first production impact, and the first customer order information.

2. The method according to claim 1, characterized in that The method for obtaining the first production and sales information of the first manufacturer comprises: Obtaining a first preset time period; Obtaining sales information of a second textile within the first preset time period, wherein the second textile has a first similarity with the first textile; obtaining first estimated sales information of the first textile according to the sales information of the second textile; Obtaining first mined customer information according to the first customer order information; Obtaining first actual ordering customer information from the first mined customer information; The first production and sales information is obtained according to the first estimated sales volume information and the first actual order customer information.

3. The method according to claim 1, characterized in that After determining the first production plan according to the first procurement information, the first production impact, and the first customer order information, the method includes: According to the first production plan, obtaining first textile finished product information; Obtaining first image information, wherein the first image information is standard parameter information of textiles; assembling a first training data set based on the first image information and the first textile finished product information; Inputting the first training data set into a first training model, wherein the first training model is obtained by training multiple sets of training data, and each set of training data in the multiple sets of training data includes: the first image information, the first textile finished product information, and identification information used to identify the first output result; Output information of the first training model is obtained, wherein the output information includes the first output result, wherein the first output result is production report information of the first textile finished product information.

4. The method according to claim 3, characterized in that The method further comprises: Determining whether it is necessary to perform a warehousing operation on the first textile finished product according to the first output result; If the first textile finished product needs to be put into storage, a first operation instruction is obtained, wherein the first operation instruction is used to mark the first textile finished product with a first storage label; When the first textile finished product needs to be shipped out, a second operation instruction is obtained, wherein the second operation instruction is used to mark the first textile finished product with a first shipping label.

5. The method according to claim 4, characterized in that After the first textile finished product information needs to be stored in the warehouse, the method further includes: Obtaining first classification information of the first textile finished product information; After classifying the first textile finished product according to the first classification information, second textile information is obtained, wherein the second textile is a rolled textile under the same classification attribute; Obtain preset roll classification label information; The roll attributes of the second textile are set according to the preset roll classification label information, wherein each roll of the second textile has a different attribute label.

6. The method according to claim 1, characterized in that The method further comprises: According to the first production plan, obtaining first production process information; Determine, according to the first production process information, a first bottleneck equipment in the second production equipment information; Obtaining a third device in the second production equipment information, wherein the third device is a production device of a previous process of the production process corresponding to the first bottleneck device; Obtaining first capacity information of the first bottleneck device and second capacity information of the third device; Obtaining a first capacity difference according to the first capacity information and the second capacity information; When the first capacity difference exceeds a preset capacity threshold, obtaining a first adjustment instruction; According to the first adjustment instruction, the second capacity information is adjusted so that the capacity difference between the second capacity information and the first capacity information is within the preset capacity threshold range.

7. The method according to claim 6, characterized in that After obtaining the first production process information according to the first production plan, the method further includes: Obtaining first real-time video information of the first production process within a second preset time period; Obtaining first production volume information according to the first real-time video information; Determining, based on the first production volume information, whether the first customer order can be completed within the preset time; If the first customer order cannot be completed within the preset time, a first regulation instruction is obtained, wherein the first regulation instruction is used to increase the production output of the first production process.

8. A device for digitally producing textiles, characterized in that: The device comprises: A customer order information module, the customer order information module is used to obtain first customer order information, wherein the first customer order information includes a first textile; A raw material information module, wherein the raw material information module is used to obtain first raw material information according to the first customer order information; Raw material inventory information, the raw material inventory information is used to obtain first raw material inventory information of a first raw material manufacturer according to the first raw material information; A raw material information determination module, the raw material information determination module is used to determine whether the first raw material inventory information satisfies the first raw material information; A manufacturer purchasing information module, wherein the manufacturer purchasing information module is used to obtain first purchasing information of a first manufacturer if the first raw material information is satisfied; A production equipment information module, the production equipment information module is used to obtain first production equipment information of a first manufacturer; An order equipment information module, the order equipment information module is used to obtain second production equipment information in the first production equipment information, wherein the second production equipment information is equipment information that can be used to produce the first customer order; a productivity information equipment module, the productivity information equipment module being used to obtain first productivity information of the second production equipment; A production and sales information module, the production and sales information module is used to obtain first production and sales information of the first manufacturer; A production impact module, the production impact module is used to obtain a first production impact according to the first productivity information and the first production and sales information; A production plan determination module, wherein the production plan determination module is used to determine a first production plan based on the first procurement information, the first production impact, and the first customer order information.

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