A sports shoe eco-design management system based on forward-looking life cycle thinking

Abstract

The present application relates to a sports shoe ecological design management system based on forward-looking life cycle thinking, including: a data collection module for acquiring sports shoe product data; a data processing module for data cleaning, verification, integration and inspection, and establishing an empirical model; a life cycle evaluation module for conducting ex ante and ex post evaluation of the environmental impact of the sports shoe product over its entire life cycle based on life cycle inventory data and environmental impact factor data; the life cycle inventory data includes design data, estimated data and measured data; a full life cycle cost evaluation module for conducting ex ante evaluation of the full life cycle cost of sports shoe products in the design stage based on sports shoe product data and empirical models; a user interface module for receiving user operations to access other modules; the system of the present application can assist in the design optimization of sports shoe products, and provide tools for enterprises to control the environmental impact and economic cost of products over their entire life cycle from the source of product design.

Description

Technical Field

[0001] The present application relates to the field of product eco-design management, and in particular to a sports shoe eco-design management system based on forward-looking life cycle thinking. Background Art

[0002] Sports shoes are lightweight, stylish, comfortable, durable, easy to maintain, and applicable to many scenarios, and have a wide range of consumer audiences. In 2020, the sales volume of sports shoes in China reached 330 million pairs, and sports shoes have become a necessity for most consumers. However, the huge demand for sports shoes has brought about environmental pollution and resource consumption problems. With the gradual promotion of green consumption and the continuous enhancement of consumers' low-carbon and environmental awareness, the green attributes of sports shoes products will occupy an increasingly important position in consumers' selection criteria.

[0003] Sports shoes have different structures, a wide variety of raw materials, and different amounts of materials. The main components include uppers, soles, and packaging for shoe sales, among which the soles can be further divided into outsoles, midsoles, trusses, gels, and sock linings; the main materials include thermoplastic elastomers, nylon, rubber, polyurethane, polyolefin-polyester copolymers, carbon black, pulp, polypropylene glycol, and other synthetic materials. Studies have shown that early product design determines more than 70% of product material resource consumption and product costs. Therefore, when designing and manufacturing new shoes, considering the environmental impact of the entire life cycle of sports shoes, choosing environmentally friendly, economical, and simple footwear materials, new shoe structures, manufacturing processes, and recycling processes, that is, conducting ecological design and cost control of sports shoes in the early stages, is an important measure to reduce the environmental impact of sports shoes, help companies control sports shoe costs, and improve corporate competitiveness.

[0004] However, at present, the complexity of the sports shoe supply chain and the products themselves makes it difficult to collect and analyze data throughout the life cycle, conduct environmental impact assessments, and control product costs in the early design stages of the product. There are multiple challenges such as complex process flows, labor-intensive factories, complex cross-regional supply networks, difficult management of waste disposal of footwear products, and large deviations between actual production and the design stage after production. There is an urgent need to establish a scientific, accurate, complete, reliable, and feasible sports shoe ecological design management system to assist companies in controlling the economic cost and environmental impact of the product throughout its life cycle from the source of product design, and to support the sustainable development of the sports shoe industry. Summary of the invention

[0005] In view of this, the present application proposes a sports shoe ecological design management system, device, electronic device and storage medium based on a forward-looking life cycle concept, which can conduct a prior evaluation of the environmental impact of sports shoe products in the design stage during their entire life cycle and a prior assessment of the costs during the entire life cycle. It can assist designers in optimizing the design of sports shoe products, and can assist enterprises in controlling the environmental impact and economic cost of products throughout their entire life cycle from the source of product design.

[0006] According to one aspect of the present application, a sports shoe ecological design management system based on a forward-looking life cycle concept is provided, including: a data collection module for acquiring sports shoe product data; the sports shoe product data includes raw material data, manufacturing data, transportation data, usage data and processing and disposal data; the raw material data includes data on raw materials used in sports shoe products; the manufacturing data includes data during the manufacturing process of sports shoe products; the transportation data includes data during the transportation process of sports shoe products; the usage data includes data during the use of sports shoe products; the processing and disposal data includes data on the processing and recycling of used sports shoe products; a data processing module is used to clean the sports shoe product data , verify, integrate and check, and establish an empirical model based on the raw material data and the manufacturing data; the empirical model includes a labor time learning curve, a material consumption learning curve and an energy consumption learning curve; the labor time learning curve is used to represent the change of the labor time of workers in producing sports shoes products with the number of sports shoes products produced; the material consumption learning curve is used to represent the change of material consumption in the sports shoe product manufacturing process with the number of sports shoe products produced; the energy consumption learning curve is used to represent the change of energy consumption in the sports shoe product manufacturing process with the number of sports shoe products produced; a life cycle assessment module is used to, based on the first life cycle inventory data and the environmental impact factor data, The method is used to evaluate the environmental impact of each life cycle stage of the sports shoe product in the design stage during the entire life cycle to obtain a life cycle ex ante evaluation result; the first life cycle inventory data is obtained according to the design data of the sports shoe product in the design stage, the empirical model and the sports shoe product data corresponding to the existing sports shoe product; the environmental impact factor data includes environmental impact factors of different environmental emissions or resource consumption for different environmental impact categories; the environmental impact factor is used to reflect the contribution of different environmental emissions or resource consumption to different environmental impact categories; a full life cycle cost evaluation module is used to evaluate the environmental impact of the sports shoe product according to the sports shoe product data, the labor time learning curve, the material consumption learning curve and the energy consumption The learning curve evaluates the cost of the sports shoe product in the design stage over its entire life cycle to obtain a full life cycle cost estimation result; the full life cycle cost estimation result includes the estimation results of the raw material procurement cost, manufacturing cost, transportation cost, use cost, processing and disposal cost, labor cost, material consumption cost and energy consumption cost of the sports shoe product in the design stage; the life cycle ex ante evaluation result and the full life cycle cost estimation result are used to assist designers in designing the sports shoe product in the design stage; a user interface module is used to receive a first operation from a user to access the data collection module, the data processing module, the life cycle evaluation module and the full life cycle cost evaluation module.

[0007] In a possible implementation, the formula of the labor time learning curve is: Among them, T(n,m,i T ) indicates that the worker number is i T The labor time required for the workers to produce the nth unit of sports shoes in the mth production section; T Indicates that worker number is i T The labor time required for the mth production section of the worker to produce the first unit of sports shoes; b T represents the labor time learning rate, b T It is obtained by fitting the manufacturing data; the production section is obtained by dividing the production process of sports shoes products; the formula of the material consumption learning curve is: Among them, Q(n,m,i Q ) represents the i-th production section in the m-th production section producing the n-th unit of sports shoes. Q The consumption of a material; Q Indicates the production of the first unit of sports shoes in the mth production section. Q The consumption of the material; b Q represents the material consumption learning rate, b Q The energy consumption learning curve is obtained by fitting the raw material data and the manufacturing data: Among them, E(n,m,i E ) represents the i-th production section in the m-th production section producing the n-th unit of sports shoes. E The consumption of energy; E Indicates the production of the first unit of sports shoes in the mth production section. E The consumption of energy; E represents the energy consumption learning rate, b E It is obtained by fitting according to the manufacturing data.

[0008] In a possible implementation, the life cycle cost assessment module is further used to: calculate the estimated result of the labor cost according to the labor time learning curve by the following formula: Among them, C T Represents the estimated result of the labor cost; T(n,m,i T ) indicates that the worker number is i T The labor time required for the mth production section of the worker to produce the nth unit of sports shoes; Trepresents the total number of workers; N represents the total number of sports shoes produced; M represents the total number of production sections; S represents the wage per unit time; according to the material consumption learning curve, the estimated result of the material consumption cost is calculated by the following formula: Among them, C Q represents the estimated result of the material consumption cost; Q(n,m,i Q ) represents the i-th production section in the m-th production section producing the n-th unit of sports shoes. Q The consumption of the material; Q represents the total number of material types; N represents the total number of sports shoes produced; M represents the total number of production sections; c Q (i Q ) represents the i-th Q The unit price of the material; according to the energy consumption learning curve, the estimated result of the energy consumption cost is calculated by the following formula: Among them, C E represents the estimated result of the energy consumption cost; E(n,m,i E ) represents the i-th production section in the m-th production section producing the n-th unit of sports shoes. E The consumption of energy; E represents the total number of energy types; N represents the total number of sports shoes produced; M represents the total number of production sections; c E (i E ) represents the i-th E The unit price of energy.

[0009] In a possible implementation, the life cycle ex ante evaluation result includes an environmental impact result; the environmental impact result includes the contribution of each life cycle stage to different environmental impact categories during the entire life cycle of the sports shoe product in the design stage; the life cycle evaluation module is further used to: obtain the environmental impact result according to the formula F=I·E; wherein the entire life cycle includes h life cycle stages, each life cycle stage includes p types of environmental emissions or resource consumption, and the number of environmental impact categories is q; F represents a matrix of size h×q, and the element F in the i-th row and k-th column of the F matrix ik represents the contribution of the i-th life cycle stage to the k-th environmental impact category; I represents a matrix of size h×p, and the element I in the i-th row and j-th column of the matrix I ij represents the amount of the jth environmental emission or resource consumption in the i-th life cycle stage; the I matrix is ​​obtained according to the first life cycle inventory data; E represents a matrix of size p×q, and the element E in the j-th row and k-th column of the E matrix jk It represents the environmental impact factor of the j-th environmental emission or resource consumption on the k-th environmental impact category.

[0010] In a possible implementation, the environmental impact factor data also includes a data quality score of each of the environmental impact factors; the data quality score is negatively correlated with the data quality of the environmental impact factor; the E matrix includes an E1 matrix, an E2 matrix, and an E3 matrix; the F matrix includes an F1 matrix, an F2 matrix, and an F3 matrix; the element E in the jth row and kth column of the E1 matrix jk1 is the environmental impact factor with the lowest data quality score among multiple environmental impact factors of the jth environmental emission or resource consumption on the kth environmental impact category in the environmental impact factor data; the element E in the jth row and kth column of the E2 matrix jk2 is the environmental impact factor with the largest value among multiple environmental impact factors of the j-th environmental emission or resource consumption on the k-th environmental impact category in the environmental impact factor data; the element E in the j-th row and k-th column of the E3 matrix jk3 It is the environmental impact factor with the smallest value among multiple environmental impact factors of the j-th environmental emission or resource consumption on the k-th environmental impact category in the environmental impact factor data; the life cycle assessment module is also used to: calculate F1=I·E1, and the F1 matrix is ​​used to represent the environmental impact result with the highest data quality; calculate F2=I·E2, and the F2 matrix is ​​used to represent the environmental impact result with the greatest environmental impact; calculate F3=I·E3, and the F3 matrix is ​​used to represent the environmental impact result with the smallest environmental impact.

[0011] In a possible implementation, the life cycle ex ante evaluation result also includes the monetization results of the environmental impact of each life cycle stage in the entire life cycle of the sports shoe product in the design stage; the monetization results of the environmental impact of each life cycle stage are used to evaluate the economic value of the environmental impact of each life cycle stage; the life cycle evaluation module is also used to: obtain the monetization results of the environmental impact of each life cycle stage according to the formula N=F·W; wherein N represents a matrix of size h×1, and the element N in the i-th row of the matrix N is i represents the monetization result of the environmental impact of the i-th life cycle stage; W represents a matrix of size q×1, and the element W in the k-th row of the matrix W k Represents the weight of the kth environmental impact category.

[0012] In one possible implementation, the estimated result of the raw material procurement cost is obtained based on the raw material data; the estimated result of the manufacturing cost is obtained based on the manufacturing data; the estimated result of the transportation cost is obtained based on the transportation data; the estimated result of the usage cost is obtained based on the usage data; and the estimated result of the processing and disposal cost is obtained based on the processing and disposal data.

[0013] In a possible implementation, the user interface module is further used to receive a second operation from the user to perform scenario setting; the scenario setting includes setting the materials, structures, manufacturing processes, transportation routes, and post-use disposal methods of different design schemes of the sports shoe product in the design stage; the life cycle assessment module is further used to evaluate the environmental impact of each life cycle stage of the sports shoe product in the design stage under different scenario settings; the life cycle cost assessment module is further used to evaluate the cost of the sports shoe product in the design stage over its entire life cycle under different scenario settings.

[0014] In a possible implementation, the data collection module is further used to obtain sports shoe product data corresponding to the sports shoe product in the design stage after the sports shoe product in the design stage is put into production; the life cycle assessment module is further used to evaluate the environmental impact of each life cycle stage in the entire life cycle of the sports shoe product in the design stage after production based on the second life cycle inventory data and the environmental impact factor data, based on the life cycle assessment method, to obtain a post-life cycle evaluation result; the second life cycle inventory data is obtained based on the sports shoe product data corresponding to the sports shoe product in the design stage after production; the data processing module is further used to adjust the empirical model according to the ex ante life cycle evaluation result and the post-life cycle evaluation result.

[0015] According to another aspect of the present application, a sports shoe ecological design management method based on a forward-looking life cycle concept is provided, which is applied to the above-mentioned sports shoe ecological design management system based on a forward-looking life cycle concept, and the method comprises: using a data collection module to obtain sports shoe product data; the sports shoe product data comprises raw material data, manufacturing data, transportation data, usage data and processing and disposal data; the raw material data comprises data of raw materials used in sports shoe products; the manufacturing data comprises data in the manufacturing process of sports shoe products; the transportation data comprises data in the transportation process of sports shoe products; the usage data comprises data in the use process of sports shoe products; the processing and disposal data comprises the data of used sports shoe products The invention relates to data processing and recycling of sports shoe products; using a data processing module to clean, verify, integrate and check the sports shoe product data, and establish an empirical model based on the raw material data and the manufacturing data; the empirical model includes a labor time learning curve, a material consumption learning curve and an energy consumption learning curve; the labor time learning curve is used to represent the change of the labor time of workers in producing sports shoe products with the number of sports shoe products produced; the material consumption learning curve is used to represent the change of material consumption in the sports shoe product manufacturing process with the number of sports shoe products produced; the energy consumption learning curve is used to represent the change of energy consumption in the sports shoe product manufacturing process with the number of sports shoe products produced The environmental impact of each life cycle stage of the sports shoe product in the design stage is evaluated based on the life cycle assessment method according to the first life cycle inventory data and the environmental impact factor data to obtain a life cycle ex ante evaluation result; the first life cycle inventory data is obtained according to the design data of the sports shoe product in the design stage, the empirical model and the sports shoe product data corresponding to the existing sports shoe products; the environmental impact factor data includes environmental impact factors of different environmental emissions or resource consumption for different environmental impact categories; the environmental impact factors are used to reflect the contribution of different environmental emissions or resource consumption to different environmental impact categories degree; using the whole life cycle cost evaluation module, the whole life cycle cost of the sports shoe product in the design stage is evaluated according to the sports shoe product data, the labor time learning curve, the material consumption learning curve and the energy consumption learning curve to obtain the whole life cycle cost estimation result; the whole life cycle cost estimation result includes the estimation results of the raw material procurement cost, manufacturing cost, transportation cost, use cost, treatment and disposal cost, labor cost, material consumption cost and energy consumption cost of the sports shoe product in the design stage; the life cycle pre-evaluation result and the whole life cycle cost estimation result are used to assist the designer in designing the sports shoe product in the design stage;Using the user interface module, receiving a first operation of the user to access the data collection module, the data processing module, the life cycle assessment module and the full life cycle cost assessment module. ;

[0016] According to another aspect of the present application, an electronic device is provided, comprising: a processor; a memory for storing processor executable instructions; wherein the processor is configured to implement the above-mentioned sports shoe ecological design management method based on forward-looking life cycle thinking or implement the functions of the above-mentioned sports shoe ecological design management system based on forward-looking life cycle thinking when executing the instructions stored in the memory.

[0017] According to another aspect of the present application, a non-volatile computer-readable storage medium is provided, on which computer program instructions are stored, wherein the computer program instructions, when executed by a processor, implement the above-mentioned sports shoe ecological design management method based on the forward-looking life cycle concept or implement the functions of the above-mentioned sports shoe ecological design management system based on the forward-looking life cycle concept.

[0018] According to another aspect of the present application, a computer program product is provided, including a computer-readable code, or a non-volatile computer-readable storage medium carrying a computer-readable code. When the computer-readable code runs in a processor of an electronic device, the processor in the electronic device executes the above-mentioned sports shoe ecological design management method based on a forward-looking life cycle concept or implements the functions of the above-mentioned sports shoe ecological design management system based on a forward-looking life cycle concept.

[0019] The functions of the sports shoe ecological design management system based on the forward-looking life cycle concept of this application include data collection and analysis, environmental impact assessment and product cost evaluation. It can conduct ex ante evaluation of the environmental impact of sports shoe products in the design stage during their entire life cycle and conduct ex ante evaluation of the costs during the entire life cycle. According to the ex ante evaluation results of the life cycle and the estimated costs of the entire life cycle, it can assist designers to optimize the design of sports shoe products, and assist enterprises to control the environmental impact and economic cost of the product throughout its life cycle from the source of product design, thereby supporting the sustainable development of the sports shoe field.

[0020] Other features and aspects of the present application will become apparent from the following detailed description of exemplary embodiments with reference to the attached drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] The accompanying drawings, which are incorporated in and constitute a part of the specification, illustrate exemplary embodiments, features, and aspects of the present application and, together with the description, serve to explain the principles of the present application.

[0022] Figure 1A schematic structural diagram of a sports shoe ecological design management system based on a forward-looking life cycle concept according to an embodiment of the present application is shown.

[0023] Figure 2 A block diagram of various modules in a sports shoe ecological design management system based on a forward-looking life cycle concept according to an embodiment of the present application is shown.

[0024] Figure 3 A functional logic diagram of each module in a sports shoe ecological design management system based on a forward-looking life cycle concept according to an embodiment of the present application is shown.

[0025] Figure 4 The results of the life cycle ex ante evaluation of two sports shoe products in the design stage by the sports shoe ecological design management system based on the forward-looking life cycle concept according to an embodiment of the present application are shown.

[0026] Figure 5 A flow chart of a sports shoe ecological design management method based on a forward-looking life cycle concept according to an embodiment of the present application is shown.

[0027] Figure 6 A block diagram of an electronic device 1900 according to an embodiment of the present application is shown. DETAILED DESCRIPTION

[0028] Various exemplary embodiments, features and aspects of the present application will be described in detail below with reference to the accompanying drawings. The same reference numerals in the accompanying drawings represent elements with the same or similar functions. Although various aspects of the embodiments are shown in the accompanying drawings, the drawings are not necessarily drawn to scale unless otherwise specified.

[0029] The word “exemplary” is used exclusively herein to mean “serving as an example, example, or illustration.” Any embodiment described herein as “exemplary” is not necessarily to be construed as preferred or advantageous over other embodiments.

[0030] In addition, in order to better illustrate the present application, numerous specific details are given in the following specific embodiments. It should be understood by those skilled in the art that the present application can also be implemented without certain specific details. In some examples, methods, means, components and circuits well known to those skilled in the art are not described in detail in order to highlight the subject matter of the present application.

[0031] Product eco-design refers to the design concept of fully considering the environmental impact of the entire product life cycle during the design stage, thereby helping to determine the decision-making direction of the design and reducing the environmental impact of the product to the minimum through improved design. Regarding the eco-design management of sports shoes, sports shoe companies are currently mainly carrying out qualitative measures such as lightweight shoes and the use of green materials. Existing technologies have been applied in three aspects: data collection and analysis, environmental impact assessment, and product cost control, to assist in the eco-design management of sports shoes. In terms of data collection and analysis, companies usually rely on management systems such as Enterprise Resource Planning (ERP) and Product Lifecycle Management (PLM) to input, update, organize and visualize data such as materials, costs and recycling ratios in the product manufacturing process in real time, and describe the manufacturing, use and recycling characteristics of sports shoes; in terms of environmental impact assessment, companies usually use the Life Cycle Assessment (LCA) method to analyze the environmental impact of sports shoes products throughout their entire life cycle from raw material acquisition, manufacturing, transportation and distribution, use to final disposal, and identify and reduce energy consumption and pollution emissions at each stage; in terms of product cost control, the cost of sports shoes is usually the sum of production costs, R&D costs and operating costs, among which material costs are mainly estimated based on the Bill of Materials (BOM). When pricing sports shoes, companies will consider market, competition and brand value factors on the basis of cost.

[0032] The existing sports shoe eco-design management system mainly conducts post-analysis and only focuses on the stage after product design is completed, including production, transportation, sales, use, recycling, etc., and has not yet extended to product design, which is the earliest stage of the sports shoe product life cycle. In addition, the existing sports shoe eco-design management system has the following shortcomings:

[0033] First, the data management systems of most sports shoe companies are not targeted, comprehensive, or systematic, and have the following shortcomings in data collection and analysis: (1) Data such as material order quantities, factory energy consumption values, and worker working hours are usually factory-level data, lacking targeted data accurate to the shoe model; (2) There are multiple suppliers and factories involved in the manufacturing process of footwear products. The complexity of the supply chain increases the difficulty of data management and coordination, and easily forms data islands, resulting in information asymmetry and incompleteness; (3) There is a lack of end-to-end digital management, and data from various links cannot be effectively integrated. There is a lack of databases with unified data formats and complete data entries, as well as visual, easy-to-operate, and easy-to-query data analysis systems.

[0034] Second, when conducting environmental impact assessments, there are problems such as high data uncertainty, failure to consider scale effects and learning effects, and only ex post evaluation. (1) The material consumption data and energy consumption data currently used in calculations are often roughly estimated based on the material list and the average energy consumption, and the remaining real-life data are difficult to collect. There are differences between international databases and literature information and actual production, and the accuracy of the assessment results needs to be improved. (2) Product life cycle assessments do not consider the comparison of potential environmental impacts of different materials, different processes, and different treatment and disposal methods, which is not conducive to the subsequent identification of optimal design solutions and transportation routes. (3) Existing product life cycle assessments often occur after the fact, while eco-design requires ex ante evaluation, that is, there is a lack of a forward-looking method based on unified specifications to measure and evaluate the potential environmental impacts of sports shoes products after they are put into production in the early design stage.

[0035] Third, most products do not consider the full life cycle cost when calculating costs in the early design stage. The costs of some links (such as waste recycling and environmental treatment) are not considered and are not reflected in product pricing, resulting in sports shoe companies facing additional costs in the later stage, which reduces the enthusiasm of sports shoe companies to process recycled sports shoes. Although environmental protection and sustainability are important demands of today's society, if costs are not effectively controlled, the efforts of companies in environmental protection and sustainability are difficult to improve the market competitiveness of their products.

[0036] In view of this, the present application proposes a sports shoe ecological design management system based on forward-looking life cycle thinking. The forward-looking life cycle thinking is a concept that, in the decision-making process, pre-considers and plans the operation, impact and termination of future policies, products, projects or technologies throughout their life cycle. The present application is based on a digital and intelligent system and combines it with a cloud database to establish a sports shoe ecological design management system. Its functions cover three aspects: data collection and analysis, environmental impact assessment and product cost control. It can conduct a prior evaluation of the environmental impact of sports shoe products in the design stage throughout their life cycle and a prior evaluation of the cost throughout their life cycle. It can effectively overcome the difficulties in data collection and analysis, the lack of environmental impact assessment, and the incomplete product cost estimation faced in the process of sports shoe ecological design, provide a quantitative basis for the sports shoe design process, and assist in the design optimization of sports shoe products.

[0037] Figure 1 A schematic diagram of a sports shoe ecological design management system based on a forward-looking life cycle concept according to an embodiment of the present application is shown. Figure 1 As shown, the system may include a data collection module 101 , a data processing module 102 , a life cycle assessment module 103 , a full life cycle cost assessment module 104 and a user interface module 105 .

[0038] The data collection module 101 is used to obtain sports shoe product data; the sports shoe product data includes raw material data, manufacturing data, transportation data, usage data and processing and disposal data; the raw material data includes data of raw materials used in the sports shoe products; the manufacturing data includes data during the manufacturing process of the sports shoe products; the transportation data includes data during the transportation process of the sports shoe products; the usage data includes data during the use of the sports shoe products; the processing and disposal data includes data on the treatment and recycling of used sports shoe products.

[0039] Exemplarily, the sports shoe product data acquired by the data collection module 101 may be uploaded to a cloud database for storage.

[0040] The data processing module 102 is used to clean, verify, integrate and check the sports shoe product data, and to establish an empirical model based on the raw material data and the manufacturing data; the empirical model includes a labor time learning curve, a material consumption learning curve and an energy consumption learning curve; the labor time learning curve is used to represent the change of the labor time of workers in producing sports shoe products with the number of sports shoe products produced; the material consumption learning curve is used to represent the change of material consumption in the sports shoe product manufacturing process with the number of sports shoe products produced; the energy consumption learning curve is used to represent the change of energy consumption in the sports shoe product manufacturing process with the number of sports shoe products produced.

[0041] Exemplarily, the labor time learning curve is fitted based on manufacturing data; the material consumption learning curve is fitted based on raw material data and manufacturing data; and the energy consumption learning curve is fitted based on manufacturing data.

[0042] The life cycle assessment module 103 is used to evaluate the environmental impact of each life cycle stage of the sports shoe product in the design stage in the whole life cycle based on the life cycle assessment method according to the first life cycle inventory data and the environmental impact factor data, and obtain the life cycle ex ante assessment result; the first life cycle inventory data is obtained according to the design data of the sports shoe product in the design stage, the empirical model and the sports shoe product data corresponding to the existing sports shoe products; the environmental impact factor data includes environmental impact factors of different environmental emissions or resource consumption for different environmental impact categories; the environmental impact factors are used to reflect the contribution degree of different environmental emissions or resource consumption to different environmental impact categories.

[0043] Exemplarily, the entire life cycle of a sports shoe product may include five life cycle stages: raw material stage, manufacturing stage, transportation stage, use stage, and treatment and disposal stage. The evaluation of the environmental impact of a sports shoe product during its life cycle that is in the design stage (including the stage of designing and making samples) can be called a forward-looking life cycle evaluation, or a life cycle ex ante evaluation. The evaluation of the environmental impact of a sports shoe product during its life cycle after production can be called a life cycle ex post evaluation, which is used for comparison with the ex ante evaluation of the life cycle of a sports shoe product in the design stage.

[0044] Exemplarily, the life cycle assessment module 103 can also obtain life cycle inventory data corresponding to the existing sports shoe products based on the sports shoe product data corresponding to the existing sports shoe products (i.e., the sports shoe products after being put into production), and evaluate the environmental impact of each life cycle stage within the entire life cycle of the existing sports shoe products based on the life cycle assessment method according to the life cycle inventory data and environmental impact factor data corresponding to the existing sports shoe products, to obtain the life cycle assessment results corresponding to the existing sports shoe products.

[0045] In a possible implementation, the data collection module 101 is further used to obtain sports shoe product data corresponding to the sports shoe product in the design stage after the sports shoe product in the design stage is put into production; the life cycle assessment module 103 is further used to evaluate the environmental impact of each life cycle stage in the whole life cycle of the sports shoe product in the design stage after production based on the second life cycle inventory data and the environmental impact factor data, based on the life cycle assessment method, to obtain a post-life cycle evaluation result; the second life cycle inventory data is obtained based on the sports shoe product data corresponding to the sports shoe product in the design stage after production; the data processing module 102 is further used to adjust the empirical model according to the ex ante life cycle evaluation result and the post-life cycle evaluation result.

[0046] The full life cycle cost assessment module 104 is used to evaluate the full life cycle cost of the sports shoe product in the design stage based on the sports shoe product data, the labor time learning curve, the material consumption learning curve and the energy consumption learning curve to obtain a full life cycle cost estimation result; the full life cycle cost estimation result includes the estimation results of the raw material procurement cost, manufacturing cost, transportation cost, use cost, processing and disposal cost, labor cost, material consumption cost and energy consumption cost of the sports shoe product in the design stage.

[0047] The cost assessment of the entire life cycle of a sports shoe product in the design stage can be called a pre-cost assessment. For example, the estimated result of the raw material procurement cost is obtained based on the raw material data; the estimated result of the manufacturing cost is obtained based on the manufacturing data; the estimated result of the transportation cost is obtained based on the transportation data; the estimated result of the use cost is obtained based on the use data; the estimated result of the treatment and disposal cost is obtained based on the treatment and disposal data; the estimated result of the labor cost is obtained based on the labor time learning curve; the estimated result of the material consumption cost is obtained based on the material consumption learning curve; and the estimated result of the energy consumption cost is obtained based on the energy consumption learning curve.

[0048] Exemplarily, the full life cycle cost evaluation module 104 may also evaluate the cost of existing sports shoe products over their full life cycle based on the sports shoe product data corresponding to the existing sports shoe products.

[0049] The user interface module 105 is used to receive a first operation from a user to access the data collection module, the data processing module, the life cycle assessment module and the full life cycle cost assessment module.

[0050] In a possible implementation, the user interface module 105 is further used to receive a second operation from the user to perform scenario setting; the scenario setting includes setting the material, structure, manufacturing process, and post-use treatment method of different design schemes of the sports shoe product in the design stage; the life cycle assessment module 103 is further used to evaluate the environmental impact of each life cycle stage of the sports shoe product in the design stage under different scenario settings; the life cycle cost assessment module is further used to evaluate the cost of the sports shoe product in the design stage over the entire life cycle under different scenario settings.

[0051] The functions of the sports shoe ecological design management system of the embodiment of the present application cover data collection and analysis, environmental impact assessment and product cost evaluation, and the system of the embodiment of the present application has a forward-looking evaluation function, which can conduct a prior evaluation of the environmental impact of sports shoe products in the design stage during their entire life cycle and a prior evaluation of the costs during the entire life cycle. According to the results of the prior life cycle evaluation and the results of the life cycle cost estimation, it assists designers to optimize the design of sports shoe products, and assists enterprises to control the environmental impact and economic cost of the product throughout its life cycle from the source of product design, thereby supporting the sustainable development of the sports shoe field.

[0052] Figure 2 A block diagram of various modules in a sports shoe ecological design management system based on a forward-looking life cycle concept according to an embodiment of the present application is shown. Figure 3The functional logic diagram of each module in a sports shoe ecological design management system based on a forward-looking life cycle concept according to an embodiment of the present application is shown below. Figure 2 and Figure 3 The functions of each module are introduced in detail.

[0053] The data collection module 101 can obtain data of five parts, namely, raw material data, manufacturing data, transportation data, usage data and processing and disposal data. Each part of the data can be collected and input into the user interface module 105 or imported into the data collection module 101 in batches. The data collection module 101 can organize the data into a unified format and upload it to the cloud database for storage.

[0054] In terms of raw material data collection, the raw materials used in sports shoe products mainly include shoe body materials and packaging materials. Raw material data includes data on materials already in use (i.e. materials used in existing sports shoe products) and data on emerging materials (i.e. materials not used in existing sports shoe products).

[0055] Exemplarily, the input items of raw material data may include: ① material type; ② usage; ③ material description (such as material purpose, properties, etc.); ④ supply chain information (such as supplier, supplier address, etc.); ⑤ material unit price.

[0056] There are generally three sources of raw material data, which are arranged from high to low in terms of data quality: actual product measurement, BOM table, and factory order quantity average. Actual product measurement refers to the use of high-precision weighing tools to accurately measure all materials used in the actual shoe manufacturing process. Due to the subtle individual differences of products, multiple measurements can be performed to obtain the uncertainty interval of material usage. BOM table refers to a detailed list of all materials, parts and components used to manufacture sports shoes. It is an important document for factories to manufacture sports shoes. It basically contains relatively complete raw material-related data and information, such as material specifications, colors, dosage, descriptions, and supplier information. The average factory order quantity is calculated based on the purchase data of relevant materials and the output of sports shoes in a certain period of time. Among the three data sources, actual product measurement requires the input of measurement data and uncertainty intervals one by one, which has high data accuracy but is time-consuming and prone to omissions; directly importing the BOM table of sports shoes products into the system is a more efficient method, which can basically complete the collection of raw material data and ensure data integrity, but the data accuracy is reduced; the uncertainty of the average factory order quantity is the highest, because the factory may produce multiple styles of sports shoes at the same time, and the raw materials need to be calculated and allocated. In addition, tails and scraps will be generated during the production process, resulting in a difference between the average order quantity and the actual usage, and the final calculation result may have a large deviation.

[0057] For example, when collecting raw material data, priority may be given to collecting raw material data obtained through physical measurement of the product. When it is difficult to conduct physical measurement of the product, the raw material data may be obtained through the BOM. For raw material data that is difficult to obtain through both physical measurement of the product and the BOM, the average factory order quantity may be used.

[0058] Exemplarily, supply chain information may include supply chain real-life data. Real-life data comes from actual data in the production process of products and raw materials, processes or systems. Collecting real-life data of the supply chain can ensure the accuracy of the final calculation of the environmental impact of the product life cycle. Real-life data of the supply chain may include information on upstream suppliers of materials already in use and emerging materials, providing a material data basis for ex ante product eco-design. A supplier information section may be added to the raw material data collection part of the data collection module 101 to collect first-level, second-level or even multi-level supplier information. Supplier information may include material consumption data, energy consumption data, material transportation data, production and emission data, etc. of suppliers manufacturing raw materials. The method and content of collecting supplier information are consistent with the form of information collection by sports shoe companies.

[0059] Exemplarily, after the collected supply chain information is imported into the data collection module 101 in a unified format, the system can automatically establish a multi-level material life cycle tree model. The material life cycle tree model can include each raw material and its corresponding supply chain information and environmental impact factors. When the system receives new supply chain information, the multi-level material life cycle tree model can be dynamically updated, and the environmental impact of the entire product life cycle can be automatically recalculated based on the updated material life cycle tree model to ensure the real-time and accuracy of the product life cycle evaluation results. In addition, by tracking and analyzing the detailed data of each link in the supply chain, and calculating the carbon emissions of each link in the supply chain based on the material life cycle tree model, the links with greater environmental impact can be identified, providing enterprises with a basis for management decisions to optimize production processes, select more environmentally friendly materials and suppliers, and further reduce the overall environmental footprint of sports shoes.

[0060] For example, the material description of the raw material data may include, in addition to characteristics such as material usage and properties, information related to material safety, such as environmental risk assessment (ERA) results, to assist designers in making comprehensive considerations in the design of sports shoes.

[0061] For example, the purchase cost of each material (eg, unit price of the material) may be marked to facilitate subsequent cost accounting.

[0062] In terms of manufacturing data collection, manufacturing data may include chemical material consumption data, energy consumption data, solid waste data, wastewater data, factory direct greenhouse gas emission data, worker working hours data and production line shoe output information.

[0063] Chemical material consumption refers to chemicals used in the manufacturing process of sports shoes but not counted in the BOM table, including cleaning agents, treatment agents, adhesives, acids or alkalis used for neutralization, etc. Exemplarily, the entry items of chemical material consumption data may include: ① Chemicals; ② Usage; ③ Chemical description (such as chemical use, properties, etc.); ④ Supply chain information (such as suppliers, supplier addresses, etc.); ⑤ Chemical unit price. Chemical material consumption data can be collected in the following two ways: actual measurement and factory order quantity average. The actual measurement is the actual measurement of the amount of chemicals used for each pair of sports shoes. The average order quantity is the order quantity of the chemical divided by the output of sports shoes over a period of time. Since the usage of this type of chemicals is very small and most of them are difficult to measure, the average factory order quantity is generally used.

[0064] Exemplarily, energy consumption data may include two parts. The first part is the energy data of the factory. The entry items may include: ① energy type and proportion; ② energy consumption; ③ energy source; ④ other related parameters; ⑤ energy unit price; ⑥ time interval. Energy types include electricity, heat, fossil fuels, etc. Factory energy mainly uses electricity, and some electricity may come from photovoltaic power generation, wind power generation, etc. It is necessary to collect the proportion of various energy sources for subsequent calculations. Energy consumption is the consumption of the factory in a certain period of time, and the time period information is recorded in the time interval entry. The proportion of domestic electricity consumption in the factory's electricity consumption can be counted. When calculating the environmental impact in the future, domestic electricity consumption needs to be excluded, but domestic electricity consumption needs to be included in the cost calculation. Other related parameters include fossil fuel carbon oxidation rate, low calorific value, unit calorific value carbon content, and related facility parameters of renewable energy such as photovoltaic or wind power. The unit price of energy from different sources is different, and detailed records need to be made to facilitate cost accounting. The second part is the energy consumption data of a certain shoe model and a certain work section. The entries may include: ① shoe model type and output; ② work section; ③ equipment name; ④ measured energy consumption; ⑤ measurement time; ⑥ equipment nameplate information; ⑦ equipment operation status. This part of the data is used to characterize the energy consumption characteristics of each work section, so as to facilitate the identification of high energy consumption links.

[0065] Exemplarily, the entry items of solid waste data may include: ① type of solid waste; ② amount of solid waste; ③ recycling method; ④ treatment and disposal method; ⑤ other information. Here, solid waste (solid waste) refers to the scraps and tails generated in the manufacturing process of sports shoes, and the type of solid waste refers to the type of material. It is necessary to indicate the recycling method and treatment and disposal method of each solid waste, as well as the proportion of each treatment and disposal method. Recycling methods include physical recycling and chemical recycling. Physical recycling needs to indicate energy consumption, and chemical recycling needs to indicate energy consumption and consumption of chemicals used for recycling. Treatment and disposal methods include incineration and landfill. Incineration needs to indicate the calorific value of the material, related parameters and energy recovery. Other information may include recovery rate, recovery cost, etc.

[0066] Exemplarily, the entry items of wastewater data may include: ① wastewater volume; ② material consumption (including agent types and dosage); ③ energy consumption (including energy composition and consumption); ④ other information. Wastewater is generated during the shoemaking process in the factory, where material consumption refers to the agents added during the wastewater treatment process, and the agent types and dosages need to be entered. If the energy consumed during the wastewater treatment process is different from the factory energy composition, additional explanation is required. Other information may include whether the treated wastewater is reused, the proportion of domestic water in the treated wastewater, and the cost of wastewater treatment.

[0067] Exemplarily, the entries for factory direct greenhouse gas emission data may include: ① the source of greenhouse gases from the factory; ② the types of greenhouse gases directly emitted by the factory; ③ the amount of greenhouse gases directly emitted by the factory. In the manufacturing process of sports shoes, the use of adhesives and solvents will release volatile organic compounds (VOCs), some of which will be converted into greenhouse gases. This is the source of direct greenhouse gas emissions from the factory, so relevant information needs to be collected. The amount of greenhouse gases directly emitted by the factory can be monitored during the actual emission process, such as using a portable gas analyzer or an online monitoring system; it can also be estimated based on literature, industry guidelines, and information provided by chemical suppliers.

[0068] Exemplarily, the entry items of worker labor time data may include: ① the total number of workers in each production section; ② the daily labor time of workers in each production section; ③ the number of working days per week of workers; ④ the average number of working days per year; ⑤ the wages of workers. The production section represents a working stage in the production process of sports shoes products. The production process of sports shoes products can be divided into multiple production sections, each of which is responsible for completing specific production tasks, such as sewing, injection molding, etc. A unit sports shoe product (such as a pair of sports shoes) is produced after passing through all production sections. The labor time of workers can be counted to help fit the learning effect curve and calculate the labor cost.

[0069] For example, the entry items of the shoe model output data of a production line may include: ① production line number; ② time period; ③ name of the shoe model produced by the production line; ④ the shoe model output produced by the production line. The shoe model output of the production line can be counted to determine the allocation principle, help analyze production efficiency, seasonal fluctuations and capacity planning, etc.

[0070] Exemplarily, the sports shoe ecological design management system of the embodiment of the present application may also include a data collection terminal, which may include a material data collector, an energy consumption data collector, a solid waste data collector, a labor time recorder, a wastewater data collector, a greenhouse gas emission data collector, and a production line order data collector.

[0071] The material data collector is used to collect material data (including raw material data and chemical material consumption data). It can be installed in the material ordering and inventory management system to record the order quantity, usage and inventory of each material in real time to ensure the timely update and accuracy of material data. The energy consumption data collector is used to collect energy consumption data. It can be installed in the factory's energy management system to monitor and record the energy consumption data of each workshop and equipment in real time, including the consumption of electricity, heat and other energy, to facilitate subsequent energy consumption analysis and cost calculation. The solid waste data collector is used to collect solid waste data. It can record the types, quantities, recycling methods and treatment and disposal methods of various solid wastes generated in the manufacturing process by actual measurement or calculation of differences to ensure the integrity and accuracy of solid waste data. The labor time recorder is used to collect workers' labor time data. It can be deployed in the worker attendance system to record workers' daily labor time and work details in real time, accurate to the production tasks of specific steps of specific shoes, to help calculate labor costs and analyze production efficiency. The wastewater data collector is used to collect wastewater data. It can be installed in the factory's wastewater treatment system, such as at the wastewater discharge port, treatment equipment and monitoring station. It records the amount of wastewater, the type and amount of chemicals used in the wastewater treatment process, and the energy data consumed in the treatment process, ensuring accurate data collection in the wastewater treatment process and providing basic data for environmental impact analysis. The greenhouse gas emission data collector is used to collect factory greenhouse gas direct emission data. It can be installed at various greenhouse gas emission sources in the factory, such as production workshops, boiler rooms, fuel use equipment and other key emission points. Through on-site monitoring, material balance estimation, production and emission coefficients and other methods, the factory greenhouse gas emission sources, types and emissions are recorded to ensure the accuracy and traceability of greenhouse gas emission data. The production line order data collector is used to collect production line shoe production data. It can be installed on various production lines in the production workshop, or in the central control system connected to the production workshop. It collects and records the shoe production data of each production line in real time, including production line number, time period, shoe name and output produced by the production line. These data can be used to determine allocation principles, help analyze production efficiency, seasonal fluctuations and capacity planning, etc. The installation and deployment of these data collectors can ensure that information on the factory's raw material usage, energy consumption, solid waste treatment, labor hours and emission data can be collected and recorded in real time and accurately, providing a solid data foundation for subsequent environmental impact assessments, cost accounting and production efficiency analysis.

[0072] Exemplarily, the sports shoe ecological design management system of the embodiment of the present application may also include a sensor network. In order to achieve comprehensive, real-time and efficient data collection and monitoring, in addition to manual data input at each data collection end, an integrated sensor network can also be deployed in the sports shoe factory. The sensor network can automatically collect and transmit various types of data through the installation and interconnection of various sensor devices, thereby improving the accuracy and timeliness of the data. The sensor network may include: a material consumption sensor network, an energy consumption monitoring sensor network, a solid waste monitoring sensor network, a wastewater monitoring sensor network, a greenhouse gas emission monitoring sensor network, a worker labor time monitoring sensor network, a production line order data sensor network, etc.

[0073] The sensor types in the material consumption sensor network can include electronic scales, flow meters, and radio frequency identification (RFID) tags. The installation locations include warehouses, production lines, and chemical storage areas. The weight of materials entering and leaving the warehouse can be monitored by electronic scales, the usage of liquid materials can be monitored by flow meters, and the whole process of materials from warehouses to production lines can be tracked by RFID tags. The data transmission methods include wireless transmission (such as mobile hotspots (Wi-Fi), Zigbee) and wired transmission (such as Ethernet). The sensor types in the energy consumption monitoring sensor network can include power meters, heat meters, gas meters, smart meters and other equipment. The installation locations include the distribution boxes of each workshop and the energy consumption interfaces of the equipment. The consumption data of electricity, heat and gas can be monitored and recorded in real time, accurate to each device and production link. The data transmission methods include wireless transmission (such as long-range radio (LoRa), narrowband Internet of Things (NB-IoT)) and wired transmission (such as Modbus serial communication protocol). The types of sensors in the solid waste monitoring sensor network may include weight sensors and image recognition sensors. The installation locations include solid waste collection points and waste treatment equipment. The weight of each type of solid waste can be recorded through weight sensors, and different types of solid waste can be automatically classified and counted through image recognition sensors. The data transmission methods include wireless transmission (such as Wi-Fi) and wired transmission (such as RS485 interface). The types of sensors in the wastewater monitoring sensor network may include flow meters, pH sensors, chemical detection sensors, etc. The installation locations include wastewater discharge outlets and wastewater treatment facilities. The discharge volume, pH value, chemical content, etc. of wastewater can be monitored in real time to ensure the accuracy of data in the wastewater treatment process. The data transmission methods include wireless transmission (such as Zigbee) and wired transmission (such as industrial Ethernet). The types of sensors in the greenhouse gas emission monitoring sensor network may include gas analyzers and infrared gas sensors. The installation locations include production workshops and discharge outlets. The types and concentrations of greenhouse gases in the factory can be monitored in real time, and greenhouse gas emission data can be recorded through gas analyzers and infrared gas sensors. The data transmission methods include wireless transmission (such as Wi-Fi, LoRa) and wired transmission (such as Controller Area Network (CAN) bus).The types of sensors in the worker labor time monitoring sensor network may include RFID attendance cards and facial recognition attendance systems. The installation locations include factory entrances and various production workshops. They can record workers' entry and exit times and working hours on each production line in real time, and ensure the accuracy of labor time data through RFID attendance cards and facial recognition systems. Data transmission methods include wireless transmission (such as Zigbee, Wi-Fi) and wired transmission (such as Ethernet). The types of sensors in the production line order data sensor network may include barcode scanners, RFID readers, counting sensors, and programmable logic controllers (PLCs). They can be installed at key nodes of each production line, such as production start and end points, packaging lines, and finished product delivery points.

[0074] For example, wireless transmission networks can be used for data transmission. Based on the Internet of Things technology, wireless transmission protocols such as Wi-Fi and Zigbee can be used for data transmission to ensure real-time transmission and aggregation of various types of data. For cloud data synchronization, cloud computing technology can be used to ensure that data from different factories, suppliers, and production lines can be synchronized to the cloud database in real time.

[0075] In terms of transportation data collection, the transportation of sports shoes products includes the upstream transportation links of the supply chain (including raw material procurement transportation, parts and components transportation, semi-finished product transportation, etc.), the downstream transportation links of the supply chain (including the transportation links involved in the processes from factory to distribution center, distribution center to retailer, transfer between retailers, direct sales, returns, etc.) and the terminal transportation links of the supply chain (including the transportation links involved in the processes of recycling, processing, disposal, reuse, etc.).

[0076] For example, the entry items of transportation data may include: ① transportation route; ② transportation mode; ③ transportation tool; ④ transportation distance; ⑤ transportation weight; ⑥ material consumption and energy consumption at transportation nodes; ⑦ transportation cost. Actual transportation data can be automatically collected by sensors and the Global Positioning System (GPS) system to obtain relevant data of transportation tools, and can be automatically entered into the system and uploaded to the cloud database.

[0077] For example, the transportation route may be an actual transportation route currently available in an existing supply chain. If there is no detailed transportation route, the starting point and the end point may be entered to calculate the average of multiple transportation routes.

[0078] For example, when the life cycle pre-evaluation and full life cycle cost estimation of sports shoes products in the design stage are carried out, the transportation route can use the transportation route of existing sports shoes products or the optimized transportation route to form different schemes and scenarios for evaluation. The transportation route can be predicted and optimized through the existing upstream and downstream supply chain networks of the enterprise. Common nodes of the enterprise supply chain (such as ports, airports, etc.) can be built into the system to assist in generating possible transportation routes. The optimized transportation route can be modeled as a mixed integer linear programming problem (Mixed-integer linear programming, MILP), which can be quickly solved using an approximate solver, or heuristic algorithms such as genetic algorithms and greedy algorithms or heuristic approximate solution algorithms based on machine learning can be used to minimize the cost and environmental impact, etc., to find the optimal or approximate optimal solution, so as to minimize the cost and environmental impact of the optimized transportation route. Further, the application programming interface (Application Programming Interface, API) of a large language model can be called to optimize the solution process of the transportation route through advanced algorithms, improve the efficiency of the algorithm and the quality of the solution, so as to achieve the accurate formulation and efficient execution of the optimization strategy for the entire transportation network.

[0079] For example, the modes of transportation may include air transport, shipping and land transport. The means of transportation may include vehicles, ships, airplanes, trains, etc. When entering the data of the means of transportation, it is necessary to describe the type of tool, tool capacity, fuel type, fuel efficiency, tool status (e.g., fully loaded, empty, etc.), maintenance cost, service life and other information as detailed as possible to facilitate the subsequent matching calculation of cost and environmental impact.

[0080] Exemplarily, the transportation nodes of sports shoes products during transportation mainly include distribution centers and retailers. The material consumption of transportation nodes involves the consumption of materials such as packaging materials, loading materials, label documents, and protective materials. For reusable materials, such as pallets and packaging containers, it is necessary to consider the number of times they are reused, and calculate the consumption through the average use cycle. The energy consumption of transportation nodes mainly includes the consumption of electricity, fuel oil, gas and other types of energy used by each transportation node in normal operation. The material consumption and energy consumption of transportation nodes can be allocated according to the number of pairs of sports shoes stored or sold and the number of days the goods stay at the transportation node to obtain the corresponding material consumption and energy consumption of each shoe model during transportation. The collection method and entry items of material consumption of transportation nodes can refer to the corresponding provisions of chemical material consumption data in the raw material data and manufacturing data collection part, and the collection method and entry items of energy consumption of transportation nodes can refer to the corresponding provisions of energy consumption data in the manufacturing data collection part.

[0081] For example, the transportation cost can be entered as the unit transportation cost, that is, the price of transporting 1 kg of raw materials or products 1 km. The unit transportation cost is directly related to the mode of transportation and the means of transportation, and is also closely related to the highway fees, fuel surcharges and other related fees charged separately on the transportation route.

[0082] In terms of usage data collection, usage data may include material consumption data during the use and maintenance of sports shoes, energy consumption data, wastewater data, and sports shoe service life data.

[0083] Usage data is related to product features and consumer usage habits. For example, consumer behavior can be investigated based on the different shoe models, and usage data corresponding to each shoe model can be obtained based on consumer behavior reports; or the number of times each shoe model is cleaned and maintained during use, the detergents and maintenance agents used, etc. can be determined based on relevant literature and industry average data, so as to obtain usage data corresponding to each shoe model. The uncertainty of usage data is relatively large, but except for environmental impact categories such as freshwater ecotoxicity, the environmental impact of the life cycle stage corresponding to the use process of sports shoes products accounts for a small proportion.

[0084] For example, the use and maintenance of sports shoes include but are not limited to cleaning (e.g., machine washing, water washing), maintenance (e.g., maintenance using antifouling agents, waterproof sprays, etc.), and replacement of shoe body parts (e.g., replacement of shoelaces, shoe buckles, decorative parts, etc.). The collection methods and entry items of relevant material consumption, energy consumption, and wastewater data can refer to the corresponding provisions of the raw material data and chemical material consumption data of the manufacturing data collection part, the energy consumption data of the manufacturing data collection part, and the wastewater data of the manufacturing data collection part.

[0085] For example, the service life of sports shoes is an important indicator of eco-design and product sustainability, and consumer data can be collected and statistically analyzed to obtain data on the service life of sports shoes.

[0086] For example, the usage data may also include the cost of using and maintaining the sports shoes for the consumer.

[0087] In terms of data collection on treatment and disposal, the main treatment and disposal methods for sports shoes include incineration, landfill and recycling. Recycling includes physical recycling and chemical recycling.

[0088] For example, the entry items of treatment and disposal data may include: ① solid waste type; ② solid waste quantity; ③ recycling method; ④ treatment and disposal method; ⑤ scenario setting; ⑥ incineration rate; ⑦ recovery rate; ⑧ cost; ⑨ other information. The entry items of treatment and disposal data are similar to the solid waste data in the manufacturing data collection part, and "scenario setting", "incineration rate", "recovery rate" and "cost" are added separately, and the information is more detailed.

[0089] Exemplarily, scenario setting entries may include the proportions of incineration, recycling, and landfill. By setting the proportions of incineration, recycling, and landfill for sports shoes, different treatment and disposal scenarios can be preset to evaluate the environmental impact of different treatment and disposal methods. The actual treatment and disposal scenarios of existing sports shoe products can be given priority reference, and then optimized, such as increasing the incineration rate and recycling rate. For shoes that can be disassembled and recycled, the data of the recycling part needs to be recorded in detail. The incineration part needs to consider the generated electricity and heat energy. In the early design stage of sports shoe products, materials and structures that are easy to recycle and disassemble can be used, and combined with the empirical data in the system (i.e., the data obtained through the learning curve in the empirical model) and the preset treatment and disposal scenarios, future treatment and disposal methods can be predicted and evaluated.

[0090] Exemplarily, each existing sports shoe product may be associated with its corresponding sports shoe product data in the data collection module 101, so that the data corresponding to the existing sports shoe products may be conveniently obtained.

[0091] Exemplarily, the data collection module 101 may also obtain design data of sports shoe products in the design stage, including design drawings and sample shoe data.

[0092] The data processing module 102 can clean, verify, integrate and check the data obtained by the data collection module 101 and uploaded to the cloud database to ensure the accuracy and consistency of the data, provide a reliable data basis for subsequent life cycle evaluation and cost assessment, and can fit the learning curve based on the historical data of existing sports shoe products obtained by the data collection module 101, establish an empirical model for forward-looking evaluation, and provide a data basis for ex ante environmental impact prediction and economic cost estimation of new sports shoes in the design stage.

[0093] Exemplarily, data cleaning may include removing invalid data, correcting erroneous data, and filling missing values.

[0094] For example, data verification may include verifying the rationality of data using logic checks and data range checks, and verifying information from different data sources through cross-validation to ensure data consistency.

[0095] Exemplarily, data integration may include establishing associations between data, such as associations between material consumption and production batches, energy consumption and production time, and the like.

[0096] Exemplarily, in the data check section, for the data corresponding to each life cycle stage, the material balance and energy balance methods can be used to check the data to ensure the integrity of the data. The product life cycle can be divided into multiple life cycle stages, and each life cycle stage can include multiple unit processes. Material balance ensures that the total amount of input materials in each unit process is equal to the total amount of output products plus the material loss in the production process; energy balance ensures that the input energy is equal to the consumption in the process plus the energy loss of the system.

[0097] The sports shoe manufacturing industry is a labor-intensive industry with a low degree of mechanization and relies heavily on manual operations by workers. For the production of specific sports shoe products, as time goes by, workers accumulate experience and improve their operating skills, and the labor time required to produce a unit of product will gradually decrease. This phenomenon is called the "learning effect." Therefore, by analyzing the worker labor time recorded in the manufacturing data and the output of the production line shoes, the worker labor time learning curve can be fitted.

[0098] In one possible implementation, suppose worker number is i T The labor time required for the mth production stage of a worker to produce the nth unit of product decreases as the learning effect increases. The formula of the labor time learning curve can be shown as follows:

[0099]

[0100] Among them, T(n,m,i T ) indicates that the worker number is i T The labor time required for the workers to produce the nth unit of sports shoes in the mth production section, in h (hours); a T represents the initial labor time (i.e. worker number i T The labor time required for the mth production section of the worker to produce the first unit of sports shoes is h, a T is a constant that can be obtained from manufacturing data; n represents the number of sports shoe products produced; b T represents the labor time learning rate, b T It is obtained by fitting the labor time data of workers of existing sports shoe products and the shoe output data of production lines. For existing sports shoe products, the labor time data of workers corresponding to each shoe model and the shoe output data of production lines can be fitted to obtain the labor time learning curve corresponding to each shoe model.

[0101] In the sports shoe manufacturing industry, there is also a learning effect in material consumption (including raw material consumption and chemical material consumption) and energy consumption. This is mainly because as workers' skills improve and equipment is applied, materials and energy can be used more accurately and efficiently.

[0102] In one possible implementation, the formula for the material consumption learning curve can be as follows:

[0103]

[0104] Among them, Q(n,m,i Q ) represents the i-th production section in the m-th production section producing the n-th unit of sports shoes. Q The consumption of the material, in kg (kilograms); a Q represents the initial material consumption (i.e. the i-th material consumption in the m-th production section of the production of the first unit of sports shoes). Q The consumption of the material is in kg, a Q It can be obtained from raw material data and manufacturing data; n represents the number of sports shoe products produced; b Q Represents the material consumption learning rate, which is obtained by fitting the raw material data and manufacturing data of existing sports shoe products. For existing sports shoe products, the material consumption learning curve corresponding to each shoe model can be obtained by fitting the raw material data and manufacturing data corresponding to each shoe model.

[0105] In one possible implementation, the formula for the energy consumption learning curve can be as follows:

[0106]

[0107] Among them, E(n,m,i E ) represents the i-th production section in the m-th production section producing the n-th unit of sports shoes. E The consumption of energy, in kWh (kilowatt-hour); E represents the initial energy consumption (i.e. the energy consumption of the first unit of sports shoes in the mth production section E The energy consumption of a type of energy is expressed in kWh. E can be obtained from manufacturing data; n represents the number of units of sports shoes produced; b E represents the energy consumption learning rate, which is obtained by fitting the manufacturing data of existing sports shoe products. For existing sports shoe products, the energy consumption learning curve corresponding to each shoe model can be obtained by fitting the manufacturing data corresponding to each shoe model.

[0108] It should be noted that since the equipment and management processes of most sports shoe factories are relatively stable, a single-factor learning curve (the independent variable is the number of sports shoe products produced) is used in the embodiment of this application, focusing on the labor factor, that is, the skill proficiency of the workers. If the sports shoe factory simultaneously optimizes equipment replacement, management and process flow, the learning curve can be fitted using the following multi-factor form to achieve more accurate predictions. The formula of the multi-factor learning curve can be as follows:

[0109]

[0110] Where Y(n,m,i) represents the resources (such as labor time, material consumption or energy consumption) required for the mth stage to produce the nth unit product; i represents the subdivision category of resources; a represents the initial resource consumption; n represents the number of unit sports shoe products produced; X1, X2, ..., X k+1 Indicates influencing factors (such as worker proficiency, equipment performance, etc.), b1, b2, ..., b k+1 Indicates the learning rate corresponding to each influencing factor.

[0111] The life cycle assessment module 103 can utilize the collected and processed data and adopt a life cycle assessment method to evaluate the environmental impact of sports shoe products at each stage of raw materials, manufacturing, transportation, use and treatment and disposal, and provide a scientific basis for design decisions.

[0112] Exemplarily, the life cycle assessment module 103 may include a purpose and scope definition submodule, a life cycle inventory analysis submodule, a life cycle impact assessment submodule, and a result interpretation submodule.

[0113] The purpose and scope definition submodule is used to record relevant information of the life cycle assessment.

[0114] Exemplarily, the entry items of the purpose and scope definition submodule may include: ① functional unit; ② system boundary; ③ data information; ④ whether it is a prior evaluation; ⑤ update time and update frequency; ⑥ other information.

[0115] Exemplarily, the functional unit represents the object of life cycle assessment, which can be a pair of sports shoes of a certain model, and the size and style information need to be indicated. The system boundary represents the scope of the life cycle of the assessment (that is, which life cycle stages are included). The system boundary is generally from cradle to grave (that is, the entire life cycle). If data is missing or there are other application scenarios, only a few of the life cycle stages can be evaluated, that is, from cradle to gate (for example, from the raw material stage to the transportation stage), from gate to gate (for example, from the manufacturing stage to the use stage), etc.

[0116] Exemplarily, data information may include time information, spatial information, and technical information of the life cycle assessment. In order to ensure the timeliness and relevance of the data, it is necessary to clarify the time information of the life cycle assessment, such as the assessment year or a specific time period; since different regions may have different production technologies, energy structures, and environmental regulations, which will affect the results of the life cycle assessment, it is necessary to clarify the geographical information of the life cycle assessment, including the geographical scope and market area; since technological progress and changes (i.e., learning effects) can significantly change the environmental footprint of products, it is necessary to clarify the technical information of the life cycle assessment, including detailed technologies and management methods used for the production, transportation, use, and disposal of current products, such as Technology Readiness Level (TRL), Manufacturing Readiness Levels (MRL), and Market Penetration Rate (MPL).

[0117] Exemplarily, the update time is the time of the last data update or the time of the last life cycle assessment. The update frequency can be determined according to the product life cycle and industry dynamics to ensure the relevance and accuracy of the evaluation results.

[0118] For example, other information may include special methodologies, assumptions or limitations used in the evaluation process, and other key information related to the project, such as partners involved in the project, funding sources, research team, etc. If a life cycle ex ante evaluation is conducted on a sports shoe product that is in the design stage, the scenario setting information (including information such as materials, structures, manufacturing processes, and treatment and disposal methods set for the sports shoe product that is in the design stage) needs to be noted.

[0119] The life cycle inventory analysis submodule is used to perform life cycle inventory (LCI) analysis. Life cycle inventory analysis is the stage in the life cycle assessment process where the inputs and outputs of the product under study throughout its life cycle are compiled and quantified. Life cycle inventory analysis divides the product life cycle into multiple unit processes that are convenient for inventory analysis, and establishes a life cycle inventory and analyzes it based on the input and output data in each unit process; wherein the input of the unit process includes material consumption and energy consumption, and the output includes products, waste to be processed, and environmental emissions. The data processed by the data processing module 102 can be imported from the cloud database into the life cycle inventory analysis submodule to generate a life cycle inventory. The specific method of generating a life cycle inventory can refer to the relevant technology.

[0120] For example, the entries of life cycle inventory data may include: ① life cycle stage; ② category; ③ input / output; ④ unit; ⑤ quantity; ⑥ data source; ⑦ data quality score. Life cycle stage indicates the life cycle stage to which the data belongs; category is the category to which the data belongs, such as material data, energy data or transportation data; input / output indicates whether the data belongs to the input or output of the unit process; unit and quantity indicate the unit and value of the data.

[0121] For example, based on the data information, each life cycle inventory data can be scored from five dimensions: time representativeness, geographical representativeness, technical representativeness, data source, and data accuracy (e.g., 1 to 5 points). The lower the score, the better the data quality. Finally, the arithmetic mean of the five scores is taken as the data quality score of the life cycle inventory data. The scoring methods may include: (1) expert scoring; (2) scoring by combining quantitative and qualitative methods such as comprehensive evaluation matrix, grey correlation analysis, simulation analysis, etc.; (3) when the database training set is sufficient, natural language model and machine learning method can be combined for automatic scoring.

[0122] For example, when conducting a pre-life cycle evaluation of a sports shoe product in the design stage, a life cycle inventory under different scenarios can be generated based on design data (such as design drawings or sample shoe data), different scenario settings (such as different materials, different structures, different manufacturing processes, different treatment and disposal methods), and different data sources. For missing data in generating a life cycle inventory, the learning curve corresponding to similar sports shoe products (such as sports shoe products with similar shoe styles) in the empirical model can be used for estimation, that is, the empirical data of similar sports shoe products can be used to approximately replace the missing data of sports shoe products in the design stage; the relevant data of similar sports shoe products can also be called from the cloud database to approximately replace the missing data.

[0123] For example, when conducting a life cycle assessment on an existing sports shoe product, a life cycle inventory of the existing sports shoe product can be generated based on the sports shoe product data corresponding to the existing sports shoe product. If the data of certain life cycle stages of an existing sports shoe product is missing, the data of similar shoes can be used as an approximate substitute to evaluate the environmental impact of the shoe model throughout its life cycle.

[0124] The life cycle impact assessment submodule is used to calculate the environmental impact of each life cycle stage of sports shoes products based on the environmental impact assessment model, the life cycle inventory data and the environmental impact factor data. The items in the life cycle impact assessment submodule can include: ① environmental impact assessment model; ② environmental impact assessment indicators; ③ environmental impact results; ④ monetization results.

[0125] Exemplarily, the environmental impact of each life cycle stage of a sports shoe product may be calculated using an existing environmental impact assessment model, such as a CML model, a ReCiPe model, etc. Environmental impact assessment indicators (i.e. environmental impact categories) may include global warming potential (GWP), eutrophication potential (EP), acidification potential (AP), ozone layer depletion potential (ODP), freshwater ecotoxicity potential (FAETP), marine ecotoxicity potential (MAETP), terrestrial ecotoxicity potential (TETP), human toxicity potential (HTP), abiotic depletion potential: fossil fuels (ADP fossil), abiotic depletion potential: elements (ultimate reserves), ADP elements), photochemical oxidation potential (POCP) and other indicators.

[0126] Environmental impact factor data include environmental impact factors of different environmental emissions or resource consumption on different environmental impact categories. The priority of the data sources of environmental impact factor data is from high to low: actual measurement, third-party certified supplier report, commercial life cycle assessment database (such as Tiangong database, GaBi software, Simapro software, Ecoinvent database, etc.), environmental impact assessment report, literature, etc.

[0127] Exemplarily, after acquiring or purchasing environmental impact factor data, the environmental impact factor data can be unified into the ILCD format and entered into the cloud database as an environmental impact factor database for easy call during calculation. For the environmental impact factor of a certain environmental emission or resource consumption on a certain environmental impact category, multiple environmental impact factors from different data sources can be obtained and stored in the environmental impact factor database. The relevant information of the environmental impact factor data needs to be stored synchronously for subsequent matching, such as functional units, system boundaries, time, geographic location, data sources, etc. For each data entry in the environmental impact factor database, a data quality score needs to be performed. The data quality score can be negatively correlated with the data quality, that is, the lower the data quality score, the higher the data quality; the scoring method can be the same as the data quality scoring method of the life cycle inventory data.

[0128] For example, when conducting an ex ante life cycle evaluation of a sports shoe product that is in the design stage, the scenario setting function in the integrated assessment model (IAM) can be used to obtain the expected efficiency gains or technology distribution in the future energy portfolio. By establishing a soft link in Python, the expected efficiency gains or technology distribution in the future energy portfolio can be transferred to the environmental impact factor database to obtain the energy (especially electricity) environmental impact factors that change with time. The energy environmental impact factors that change with time can be used as a dynamic background database of environmental impact factors.

[0129] For example, if there is a certain percentage of recycled materials in the raw materials, and some of the materials in the solid waste and discarded shoe bodies are recyclable, the environmental impact involves upstream and downstream distribution. The calculation formula for the environmental impact of raw materials, recycled materials and recyclable materials can be as follows:

[0130] E raw material = (1-R1) × E V (5)

[0131]

[0132] Among them, E 原材料 Indicates the environmental impact of raw materials (not recycled or recyclable materials), E 再生材料 Indicates the environmental impact of recycled materials in raw materials; E 可回收材料It represents the environmental impact of solid waste and recyclable materials in discarded shoe bodies; R1 represents the proportion of recycled materials used in raw materials; R2 represents the proportion of discarded materials used for material recycling; A represents the allocation coefficient, that is, the allocation coefficient of the environmental impact between the life cycle of recycled materials and the life cycle of recyclable materials. It can be simply understood as whether the positive environmental benefits generated by recycled materials belong to the recycled materials processing enterprise or the recycled materials using enterprise. The value range of A is 0.2-0.8, and it is generally taken as 0.5 when supply and demand are balanced; E recycled Represents the environmental impact generated during the material recycling process of a functional unit (i.e. a pair of sports shoes), including the collection, sorting and transportation processes; E recyclingEol It represents the environmental impact generated during the recycling process of discarded materials of a functional unit, including the collection, sorting and transportation processes; E V Indicates the environmental impact of raw material extraction and pretreatment at the beginning of the material life cycle; E V * Represents the environmental impact of the extraction and pre-processing of raw materials replaced by recyclable materials; Q p Indicates the quality level of raw materials; Q sin Indicates the quality level of recycled materials; Q sout Indicates the quality level of recyclable materials. The electricity and heat generated after the incineration of materials can replace part of the electricity and heat in the system, offsetting part of the environmental impact. This part of the environmental impact factor is represented by a negative value. However, the environmental impact generated by the incineration of materials cannot be ignored and needs to be calculated.

[0133] In one possible implementation, the life cycle inventory data can be combined with the environmental impact factor matrix through matrix operations to calculate the contribution of each life cycle stage of sports shoes products to different environmental impact categories (i.e., environmental impact results). Assuming that there are h life cycle stages or unit processes, each stage has p different environmental emissions or resource consumption (including material consumption and energy consumption), and q different environmental impact categories, the calculation formula for the environmental impact of each life cycle stage can be as follows:

[0134] F=I·E (8)

[0135] Where F is an h×q matrix, and the element F in the i-th row and k-th column of the F matrix is ik represents the total contribution of the i-th life cycle stage to the k-th environmental impact category; I is an h×p matrix, and the element I in the i-th row and j-th column of the I matrix ij represents the amount of the jth environmental emission or resource consumption in the i-th life cycle stage. The I matrix is ​​formed by the transformation of the life cycle inventory. E is a p×q matrix, also known as the environmental satellite matrix. The element E in the j-th row and k-th column of the E matrix jkThe environmental impact factor representing the j-th environmental emission or resource consumption on the k-th environmental impact category can be retrieved in the environmental impact factor database according to the entry of the environmental emission or resource consumption.

[0136] For example, since the environmental impact factors of the same material may be different in different databases or different data sources, three E matrices can be matched for materials with high uncertainty during the calculation process, namely, E1 matrix, E2 matrix and E3 matrix; among which, E1 matrix is ​​composed of environmental impact factors with the highest data quality (i.e., element E1 in row j and column k of E1 matrix). jk1 The E2 matrix is ​​composed of the largest environmental impact factors (i.e., the element E in the jth row and kth column in the E2 matrix). jk2 is the environmental impact factor with the largest value among multiple environmental impact factors of the j-th environmental emission or resource consumption on the k-th environmental impact category in the environmental impact factor database. The E3 matrix is ​​composed of the smallest environmental impact factors (i.e., the element E in the j-th row and k-th column of the E3 matrix). jk3 is the environmental impact factor with the smallest value among multiple environmental impact factors of the j-th environmental emission or resource consumption on the k-th environmental impact category in the environmental impact factor database); let the I matrix be multiplied by the E1 matrix, the E2 matrix, and the E3 matrix respectively to obtain the F1 matrix (i.e., F1=I·E1), the F2 matrix (i.e., F2=I·E2), and the F3 matrix (i.e., F3=I·E3), wherein the value of each element in the F1 matrix is ​​the value of the highest data quality of each element in the F matrix, and the F1 matrix can represent the environmental impact result with the highest overall data quality; the value of each element in the F2 matrix is ​​the maximum value of each element in the F matrix, and the F2 matrix can represent the environmental impact result with the greatest environmental impact (i.e., the worst environmental impact result); the value of each element in the F3 matrix is ​​the minimum value of each element in the F matrix, and the F3 matrix can represent the environmental impact result with the smallest environmental impact (i.e., the optimal environmental impact result).

[0137] For example, due to the complexity of sports shoe products, the material descriptions retrieved from the environmental impact factor database for some material consumption are different from the actual material properties. For these materials, the material production process should be traced back through the supplier as much as possible until an accurate environmental impact factor is calculated. If further tracing is not possible, similar material data can be used as a substitute, but this will increase the uncertainty of the results.

[0138] For example, by decomposing the I matrix and multiplying it with the E matrix, the environmental impacts of different life cycle stages (or different links) and different parts of the sports shoe product can be obtained.

[0139] For example, due to the high uncertainty of the prior evaluation, multiple scenarios can be set for discussion. Different scenarios can obtain different I matrices. By comparing the environmental impact results under multiple different scenarios, designers can be assisted in optimizing the design of sports shoes. For example, different materials (affecting the use of raw materials), different shoe body structures (such as whether the shoe body is easy to disassemble), different recycling methods (affecting the material consumption and energy consumption during the recycling process), and different manufacturing processes (mainly affecting energy consumption) can be set. Comparative analysis of the environmental impact results under different scenarios can assist designers in selecting the best design solution.

[0140] In one possible implementation, the results of the life cycle ex ante assessment also include the monetization results of the environmental impacts of each life cycle stage of the sports shoe product. After calculating the environmental impacts of each life cycle stage of the sports shoe product, the environmental impact results can be monetized based on the monetization method, so that the economic value of environmental impacts at different life cycle stages can be more intuitively and systematically evaluated and compared, which can help decision makers and companies make more informed environmental management and investment decisions. The monetization results of each life cycle stage of the sports shoe product can be calculated according to the following formula:

[0141] N=F·W (9)

[0142] Where N is an h×1 matrix, that is, N=[N1,N2,……,N h ],N i represents the monetization result of the environmental impact of the i-th life cycle stage, 1≤i≤h; W represents the weighting factor matrix, which is a q×1 matrix, that is, W=[W1,W2,……,W q ],W k represents the monetization factor of the kth environmental impact category (i.e., the weight of the kth environmental impact category), 1≤k≤q; the F matrix is ​​obtained according to formula (8). The monetization factor can be obtained from a public database or set by a person skilled in the art according to actual needs.

[0143] Monetization results of the environmental impact of the entire life cycle of sports footwear products total It can be calculated according to the following formula:

[0144]

[0145] Items in the result interpretation submodule may include: ① comprehensive data quality evaluation results; ② scenario analysis; ③ uncertainty analysis and sensitivity analysis; ④ whether it has been certified by a third party.

[0146] Exemplarily, a comprehensive data quality evaluation result can be obtained by taking a weighted average based on the data quality evaluation result of each piece of data and the environmental impact ratio of each life cycle stage.

[0147] Exemplarily, scenario analysis may include: (1) Comparison of different materials: analyzing the differences in the environmental impacts of using different materials on the life cycle of sports shoes products, so as to assist designers in identifying which materials have more environmental advantages; (2) Comparison of different manufacturing processes: evaluating the environmental impacts of the life cycle of sports shoes products under different manufacturing processes, so as to assist designers in determining the optimal manufacturing process; (3) Comparison of different treatment and disposal methods: comparing the environmental impacts under different waste treatment and disposal methods, so as to assist designers in selecting the most suitable treatment and disposal method; (4) Forward-looking design: in ecological design, using life cycle ex ante evaluation, considering possible future design changes and their potential environmental impacts, including the environmental impacts brought about by the selection of different materials, structures, manufacturing processes and treatment and disposal methods; at the same time, the system can predict the environmental impacts of sports shoes products at different stages in the future based on the learning curve in the empirical model and the dynamic background database of environmental impact factors.

[0148] For example, uncertainty analysis can be used to assess the impact of uncertainty in input data and model assumptions on the final life cycle assessment results. The steps of uncertainty analysis may include: (1) determining the uncertainty range of key parameters; (2) using Monte Carlo simulation or other statistical methods to calculate the confidence interval or probability distribution of the life cycle assessment results; (3) analyzing the impact of uncertainty on the life cycle assessment results.

[0149] For example, sensitivity analysis can be used to determine which input parameters have the greatest impact on the life cycle assessment results, thereby identifying the most important factors in the system. The steps of sensitivity analysis may include: (1) selecting key input parameters; (2) adjusting these parameters one by one or in groups to observe the impact on the life cycle assessment results; (3) determining the parameters that are most sensitive to the life cycle assessment results and further optimizing these parameters.

[0150] For example, after a sports shoe product in the design stage is completed and put into production, the actual product data of the sports shoe product can be entered into the data collection module 101 in real time, and the life cycle evaluation module 103 can be used to perform a post-life cycle evaluation on the sports shoe product after production. The post-life cycle evaluation results can be compared with the pre-life cycle evaluation results, so as to adjust the parameters of the learning curve in the empirical model to obtain a more accurate empirical model.

[0151] For example, in addition to matrix operations, life cycle assessment software such as GaBi, Simapro, openLCA, etc. can also be used for modeling calculations to conduct life cycle assessment of sports shoe products.

[0152] For example, the life cycle assessment results of sports shoes can be made public after being confirmed by a third-party assessment agency. If not certified by a third-party assessment agency, the third-party assessment process will be initiated.

[0153] Exemplarily, the calculation results and related analysis during the life cycle assessment process can be uploaded to a cloud database for storage.

[0154] The life cycle cost assessment module 104 can assess the cost of sports shoe products throughout their life cycle, including raw material procurement costs, manufacturing costs, transportation costs, usage costs, processing and disposal costs, labor costs, material consumption costs, and energy consumption costs, to help enterprises with cost management and cost optimization.

[0155] For example, when evaluating the cost of an existing sports shoe product, the sports shoe product data corresponding to the existing sports shoe product can be obtained from the cloud database. The sports shoe product data already contains the cost of each part. The raw material purchase cost (calculated based on the raw material data), manufacturing cost (calculated based on the manufacturing data), transportation cost (calculated based on the transportation data), use cost (calculated based on the use data) and treatment and disposal cost (calculated based on the treatment and disposal data) can be calculated in combination with the life cycle inventory of the existing sports shoe product. If some of the data of the existing sports shoe product is missing, the data of similar shoes can be used to replace the missing data for evaluation.

[0156] Illustratively, when conducting an ex-ante cost assessment of a sports shoe product that is in the design stage, sports shoe product data corresponding to similar sports shoe products can be obtained from a cloud database, and the raw material procurement cost (calculated based on the raw material data of similar sports shoe products), manufacturing cost (calculated based on manufacturing data of similar sports shoe products), transportation cost (calculated based on transportation data of similar sports shoe products), usage cost (calculated based on usage data of similar sports shoe products) and processing and disposal cost (calculated based on processing and disposal data of similar sports shoe products) of the sports shoe product that is in the design stage can be evaluated based on the sports shoe product data corresponding to the similar sports shoe products.

[0157] Since sports shoe manufacturing is a labor-intensive industry, evaluating labor costs in the cost evaluation phase can better optimize decision-making. At the same time, calculating material consumption costs and energy consumption costs can also help companies better optimize costs.

[0158] For example, when conducting a post-evaluation of the costs of existing sports shoe products, labor costs can be calculated using the workers' actual wages, material consumption costs can be calculated based on the material consumption data corresponding to the existing sports shoe products, and energy consumption costs can be calculated based on the energy consumption data corresponding to the existing sports shoe products.

[0159] In one possible implementation, when conducting a cost pre-evaluation of a sports shoe product in the design stage, the estimated labor cost can be obtained based on the labor time learning curve of similar sports shoe products. There is a positive correlation between labor time and labor cost, that is, the labor cost will decrease accordingly as the labor time decreases, and the change trend of labor cost can be simulated based on the labor time learning curve. Assuming that the labor cost is proportional to the labor time, the estimated labor cost can be calculated using the following formula:

[0160]

[0161] Among them, C T It represents the estimated result of labor cost, in RMB; T(n,m,i T ) indicates that the worker number is i T The labor time required by workers to produce the nth unit of sports shoes in the mth production section is expressed in h, T(n,m,i T ) is obtained according to formula (1); I T represents the total number of workers; N represents the total number of sports shoes produced; M represents the total number of production sections; S represents the wage per unit time (also known as the wage rate), in yuan / h. In fact, the wage rate is nonlinear and is affected by many factors such as overtime pay, workers' health, market labor prices, etc. Therefore, it is a complex economic variable and can be written as S(x,y,z,…), where x, y, z,… represent the factors affecting the wage rate. In practical applications, S can be set by technical personnel in this field based on actual experience.

[0162] In a possible implementation, when conducting a pre-cost assessment of a sports shoe product in the design stage, the estimated result of the material consumption cost can be calculated using the following formula based on the material consumption learning curve of similar sports shoe products:

[0163]

[0164] Among them, C Q It indicates the estimated result of material consumption cost, in RMB; Q(n,m,i Q ) represents the i-th production section in the m-th production section producing the n-th unit of sports shoes. Q The consumption of the material is in kg, Q(n,m,i Q ) is obtained according to formula (2); I Q represents the total number of material types; N represents the total number of sports shoes produced; M represents the total number of production sections; c Q (i Q ) represents the i-thQ The unit price of this material is Yuan / kg.

[0165] In a possible implementation, when conducting a cost pre-evaluation for a sports shoe product in the design stage, the estimated result of the energy consumption cost can be calculated using the following formula based on the energy consumption learning curve of similar sports shoe products:

[0166]

[0167] Among them, C E It represents the estimated result of energy consumption cost, in RMB; E(n,m,i E ) represents the i-th production section in the m-th production section producing the n-th unit of sports shoes. E The energy consumption in kWh, E(n,m,i E ) is obtained according to formula (3); I E represents the total number of energy types; N represents the total number of sports shoes produced; M represents the total number of production sections; c E (i E ) represents the i-th E The unit price of this energy is RMB / kWh.

[0168] For example, after conducting a cost assessment, data analysis tools and methods (such as cost-benefit analysis, cost allocation analysis, etc.) can be used to identify the cost structure and changing trends of each link.

[0169] For example, cost saving potential can be evaluated through difference analysis and scenario simulation. Different materials, structures, manufacturing processes, transportation routes, treatment and disposal methods can be set, and the cost evaluation results under different scenario settings can be compared and analyzed to find possible cost saving measures (such as improving manufacturing processes, using alternative materials, optimizing transportation routes, etc.).

[0170] The user interface module 105 may provide an intuitive and user-friendly operating interface through which the user may access and operate other modules, view and analyze data and evaluate results.

[0171] Exemplarily, the user interface module 105 may include a supplier interface for the supplier side and a data collection and processing interface, an eco-design interface, and a product evaluation interface for the enterprise side. Suppliers can enter supplier information through the supplier interface. Enterprises can access the data collection module 101 and the data processing module 102 through the data collection and processing interface to view and analyze data; in the sports shoe design stage, designers can set different design scenarios (for example, set different materials, structures, manufacturing processes, transportation routes, and treatment and disposal methods) through the eco-design interface, and compare and analyze the environmental impacts and economic costs under various design scenarios to select the best design solution; after the designed sports shoe product is put into production, the enterprise can enter the actual product data (data obtained during the actual production-distribution-use-treatment and disposal process) into the data collection module 101 in real time through the product evaluation interface, and conduct a post-life cycle evaluation and a full life cycle cost evaluation on the sports shoe product after production based on the actual product data, and compare the obtained results with the life cycle ex ante evaluation results and the full life cycle cost estimation results, so as to adjust the prediction model.

[0172] Exemplarily, the user interface module 105 also supports exporting data and evaluation results into a report format for reference in decision making.

[0173] The embodiment of the present application is based on the forward-looking life cycle idea, and proposes a sports shoe ecological design management system including a data collection module, a data processing module, a life cycle evaluation module, a full life cycle cost evaluation module and a user interface module, wherein the data collection module and the data processing module are the basis of the life cycle evaluation module and the full life cycle cost evaluation module, the data collection module can collect all the data of existing products and the initial data of the products under design, all the data of existing products are used to establish a basic database and an empirical model, and are stored in a cloud database for easy call, which can provide missing data for forward-looking evaluation, and facilitate simulation of future scenarios; the life cycle evaluation module and the full life cycle cost evaluation module have forward-looking evaluation functions, which can be used in the early design process of designers to match empirical data based on limited design data to perform forward-looking environmental impact evaluation and cost estimation of sports shoe products, and can quantify the environmental impact and economic cost of existing sports shoe products; the user interface module is connected to other modules, and users can access and operate other modules through the user interface module. The system of the embodiment of the present application is transparent, easy to understand and efficient, and can effectively overcome the challenges of data collection and analysis difficulties, lack of environmental impact assessment, and incomplete product cost estimation in the process of sports shoe ecological design, assist enterprises to control the environmental impact and economic cost of the product life cycle from the source of product design, and support the sustainable development of the sports shoe field.

[0174] Figure 4The figure shows the results of the life cycle pre-evaluation of two sports shoe products in the design stage by the sports shoe ecological design management system based on the forward-looking life cycle concept according to one embodiment of the present application. Figure 4 (a) shows the impact of sports shoes A on different environmental impact categories throughout its life cycle. Figure 4 (b) shows the impact of model B sports shoes on different environmental impact categories throughout their life cycle. The larger the value corresponding to the environmental impact category, the greater the impact of the sports shoes on that environmental impact category during their life cycle. Environmental impact categories include: GWP, in kg CO2-eq; EP, in kg PO4-eq; AP, in kg SO2-eq; ODP, in kg CFC-11-eq; FAETP, in kg 1,4-DCB-eq; MAETP, in kg 1,4-DCB-eq; TETP, in kg1,4-DCB-eq; HTP, in kg1,4-DCB-eq; ADP fossil, in MJ; ADP elements, in kg Sb-eq; POCP, in kgethylene-eq.

[0175] The embodiment of the present application also proposes a sports shoe ecological design management method based on a forward-looking life cycle concept, which can be applied to the sports shoe ecological design management system based on a forward-looking life cycle concept proposed in the embodiment of the present application.

[0176] Figure 5 A flowchart of a sports shoe ecological design management method based on a forward-looking life cycle concept according to an embodiment of the present application is shown. Figure 5 As shown, the method may include:

[0177] S501. Utilize the data collection module 101 to obtain sports shoe product data; the sports shoe product data includes raw material data, manufacturing data, transportation data, usage data and processing and disposal data; the raw material data includes data on raw materials used in the sports shoe products; the manufacturing data includes data on the manufacturing process of the sports shoe products; the transportation data includes data on the transportation process of the sports shoe products; the usage data includes data on the use process of the sports shoe products; the processing and disposal data includes data on the treatment and recycling of used sports shoe products.

[0178] S502. Utilize the data processing module 102 to clean, verify, integrate and check the sports shoe product data, and establish an empirical model based on the raw material data and the manufacturing data; the empirical model includes a labor time learning curve, a material consumption learning curve and an energy consumption learning curve; the labor time learning curve is used to represent the change of the labor time of workers in producing sports shoe products with the number of sports shoe products produced; the material consumption learning curve is used to represent the change of material consumption in the sports shoe product manufacturing process with the number of sports shoe products produced; the energy consumption learning curve is used to represent the change of energy consumption in the sports shoe product manufacturing process with the number of sports shoe products produced.

[0179] S503. Utilizing the life cycle assessment module 103, based on the life cycle assessment method and according to the first life cycle inventory data and the environmental impact factor data, the environmental impact of each life cycle stage of the sports shoe product in the design stage is evaluated within the entire life cycle to obtain a life cycle ex ante evaluation result; the first life cycle inventory data is obtained based on the design data of the sports shoe product in the design stage, the empirical model and the sports shoe product data corresponding to the existing sports shoe products; the environmental impact factor data includes environmental impact factors of different environmental emissions or resource consumptions for different environmental impact categories; the environmental impact factors are used to reflect the contribution of different environmental emissions or resource consumptions to different environmental impact categories.

[0180] S504. Utilize the life cycle cost assessment module 104 to assess the cost of the sports shoe product in the design stage over its life cycle according to the sports shoe product data, the labor time learning curve, the material consumption learning curve and the energy consumption learning curve, and obtain a life cycle cost estimation result; the life cycle cost estimation result includes the estimation results of the raw material procurement cost, manufacturing cost, transportation cost, use cost, processing and disposal cost, labor cost, material consumption cost and energy consumption cost of the sports shoe product in the design stage; the life cycle pre-evaluation result and the life cycle cost estimation result are used to assist designers in designing the sports shoe product in the design stage.

[0181] S505 , using the user interface module 105 , receiving a first operation of the user to access the data collection module, the data processing module, the life cycle assessment module and the full life cycle cost assessment module.

[0182] The specific implementation of steps S501 to S505 can refer to the description of the above-mentioned embodiment of the sports shoe ecological design management system based on the forward-looking life cycle concept, which will not be repeated here.

[0183] The sports shoe ecological design management method based on the forward-looking life cycle concept in the embodiment of the present application can conduct a prior evaluation of the environmental impact of the sports shoe product in the design stage during its entire life cycle and a prior assessment of the cost during the entire life cycle. It can assist designers in optimizing the design of sports shoe products based on the life cycle prior evaluation results and the life cycle cost estimation results, and assist enterprises in controlling the environmental impact and economic cost of the product throughout its life cycle from the source of product design, thereby supporting the sustainable development of the sports shoe field.

[0184] An embodiment of the present application also proposes an electronic device, comprising: a processor; a memory for storing instructions executable by the processor; wherein the processor is configured to implement the above-mentioned sports shoe ecological design management method based on the forward-looking life cycle concept or implement the functions of the above-mentioned sports shoe ecological design management system based on the forward-looking life cycle concept when executing the instructions stored in the memory.

[0185] Figure 6 1 is a block diagram of an electronic device 1900 according to an embodiment of the present application. For example, the electronic device 1900 may be provided as a server or a terminal device. Figure 6 , the electronic device 1900 includes a processing component 1922, which further includes one or more processors, and a memory resource represented by a memory 1932 for storing instructions that can be executed by the processing component 1922, such as an application. The application stored in the memory 1932 may include one or more modules, each corresponding to a set of instructions. In addition, the processing component 1922 is configured to execute instructions to perform the above-mentioned sports shoe ecological design management method based on the forward-looking life cycle concept or realize the functions of the above-mentioned sports shoe ecological design management system based on the forward-looking life cycle concept.

[0186] The electronic device 1900 may also include a power supply component 1926 configured to perform power management of the electronic device 1900, a wired or wireless network interface 1950 configured to connect the electronic device 1900 to a network, and an input / output (I / O) interface 1958. The electronic device 1900 may operate based on an operating system stored in the memory 1932, such as Windows Server™, Mac OS X™, Unix™, Linux™, FreeBSD™ or the like.

[0187] The present application also provides a computer-readable storage medium on which computer program instructions are stored. When the computer program instructions are executed by a processor, the method for managing the eco-design of sports shoes based on the forward-looking life cycle concept or the functions of the eco-design management system for sports shoes based on the forward-looking life cycle concept are implemented. The computer-readable storage medium may be a volatile or non-volatile computer-readable storage medium.

[0188] In an exemplary embodiment, a non-volatile computer-readable storage medium is also provided, such as a memory 1932 including computer program instructions. The above-mentioned computer program instructions can be executed by the processing component 1922 of the electronic device 1900 to complete the above-mentioned sports shoe ecological design management method based on the forward-looking life cycle concept or realize the functions of the above-mentioned sports shoe ecological design management system based on the forward-looking life cycle concept.

[0189] An embodiment of the present application also provides a computer program product, including a computer-readable code, or a non-volatile computer-readable storage medium carrying the computer-readable code. When the computer-readable code runs in a processor of an electronic device, the processor in the electronic device executes the above-mentioned sports shoe ecological design management method based on the forward-looking life cycle concept or implements the functions of the above-mentioned sports shoe ecological design management system based on the forward-looking life cycle concept.

[0190] The present application may be a system, a method and / or a computer program product. The computer program product may include a computer-readable storage medium carrying computer-readable program instructions for causing a processor to implement various aspects of the present application.

[0191] A computer-readable storage medium may be a tangible device that can hold and store instructions used by an instruction execution device. A computer-readable storage medium may be, for example, but not limited to, an electrical storage device, a magnetic storage device, an optical storage device, an electromagnetic storage device, a semiconductor storage device, or any suitable combination of the foregoing. More specific examples of computer-readable storage media (a non-exhaustive list) include: a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), a static random access memory (SRAM), a portable compact disk read-only memory (CD-ROM), a digital versatile disk (DVD), a memory stick, a floppy disk, a mechanical encoding device, such as a punch card or a raised structure in a groove on which instructions are stored, and any suitable combination of the foregoing. As used herein, a computer-readable storage medium is not to be interpreted as a transient signal per se, such as a radio wave or other freely propagating electromagnetic wave, an electromagnetic wave propagating through a waveguide or other transmission medium (e.g., a light pulse through a fiber optic cable), or an electrical signal transmitted through a wire.

[0192] The computer-readable program instructions described herein can be downloaded from a computer-readable storage medium to each computing / processing device, or downloaded to an external computer or external storage device via a network, such as the Internet, a local area network, a wide area network, and / or a wireless network. The network can include copper transmission cables, optical fiber transmissions, wireless transmissions, routers, firewalls, switches, gateway computers, and / or edge servers. The network adapter card or network interface in each computing / processing device receives the computer-readable program instructions from the network and forwards the computer-readable program instructions for storage in the computer-readable storage medium in each computing / processing device.

[0193] The computer program instructions for performing the operation of the present application can be assembler instructions, instruction set architecture (ISA) instructions, machine instructions, machine-related instructions, microcode, firmware instructions, state setting data, or source code or object code written in any combination of one or more programming languages, including object-oriented programming languages, such as Smalltalk, C++, etc., and conventional procedural programming languages, such as "C" language or similar programming languages. Computer-readable program instructions can be executed completely on a user's computer, partially on a user's computer, executed as an independent software package, partially on a user's computer, partially on a remote computer, or completely on a remote computer or server. In the case of a remote computer, the remote computer can be connected to the user's computer through any type of network, including a local area network (LAN) or a wide area network (WAN), or can be connected to an external computer (for example, using an Internet service provider to connect through the Internet). In some embodiments, by using the state information of a computer-readable program instruction to personalize an electronic circuit, such as a programmable logic circuit, a field programmable gate array (FPGA) or a programmable logic array (PLA), the electronic circuit can execute a computer-readable program instruction, thereby realizing various aspects of the present application.

[0194] Various aspects of the present application are described herein with reference to the flowcharts and / or block diagrams of the methods, devices (systems) and computer program products according to the embodiments of the present application. It should be understood that each box in the flowchart and / or block diagram and the combination of each box in the flowchart and / or block diagram can be implemented by computer-readable program instructions.

[0195] These computer-readable program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, or other programmable data processing device, thereby producing a machine, so that when these instructions are executed by the processor of the computer or other programmable data processing device, a device that implements the functions / actions specified in one or more boxes in the flowchart and / or block diagram is generated. These computer-readable program instructions can also be stored in a computer-readable storage medium, and these instructions cause the computer, programmable data processing device, and / or other equipment to work in a specific manner, so that the computer-readable medium storing the instructions includes a manufactured product, which includes instructions for implementing various aspects of the functions / actions specified in one or more boxes in the flowchart and / or block diagram.

[0196] Computer-readable program instructions may also be loaded onto a computer, other programmable data processing apparatus, or other device so that a series of operating steps are performed on the computer, other programmable data processing apparatus, or other device to produce a computer-implemented process, thereby causing the instructions executed on the computer, other programmable data processing apparatus, or other device to implement the functions / actions specified in one or more boxes in the flowchart and / or block diagram.

[0197] The flow chart and block diagram in the accompanying drawings show the possible architecture, function and operation of the system, method and computer program product according to multiple embodiments of the present application. In this regard, each square box in the flow chart or block diagram can represent a part of a module, program segment or instruction, and a part of the module, program segment or instruction includes one or more executable instructions for realizing the logical function of the specification. In some alternative implementations, the function marked in the square box can also occur in a sequence different from that marked in the accompanying drawings. For example, two continuous square boxes can actually be executed substantially in parallel, and they can also be executed in the opposite order sometimes, depending on the function involved. It should also be noted that each square box in the block diagram and / or flow chart, and the combination of the square boxes in the block diagram and / or flow chart can be realized by a dedicated hardware-based system that performs the function or action of the specification, or can be realized by a combination of special-purpose hardware and computer instructions.

[0198] The embodiments of the present application have been described above, and the above description is exemplary, not exhaustive, and is not limited to the disclosed embodiments. Many modifications and changes will be apparent to those of ordinary skill in the art without departing from the scope and spirit of the described embodiments. The selection of terms used herein is intended to best explain the principles of the embodiments, practical applications, or technical improvements in the market, or to enable other persons of ordinary skill in the art to understand the embodiments disclosed herein.

Claims

1. A sports shoe ecological design management system based on forward-looking life cycle thinking, characterized in that: include: A data collection module is used to obtain sports shoe product data; the sports shoe product data includes raw material data, manufacturing data, transportation data, usage data and processing and disposal data; the raw material data includes data of raw materials used in sports shoe products; the manufacturing data includes data during the manufacturing process of sports shoe products; the transportation data includes data during the transportation process of sports shoe products; the usage data includes data during the use of sports shoe products; the processing and disposal data includes data on the processing and recycling of used sports shoe products; A data processing module, for cleaning, verifying, integrating and checking the sports shoe product data, and establishing an empirical model based on the raw material data and the manufacturing data; the empirical model includes a labor time learning curve, a material consumption learning curve and an energy consumption learning curve; the labor time learning curve is used to represent the change of the labor time of workers in producing sports shoe products with the number of sports shoe products produced; the material consumption learning curve is used to represent the change of material consumption in the sports shoe product manufacturing process with the number of sports shoe products produced; the energy consumption learning curve is used to represent the change of energy consumption in the sports shoe product manufacturing process with the number of sports shoe products produced; A life cycle assessment module is used to evaluate the environmental impact of each life cycle stage of the sports shoe product in the design stage in the whole life cycle based on the life cycle assessment method according to the first life cycle inventory data and the environmental impact factor data, and obtain the life cycle ex ante assessment result; the first life cycle inventory data is obtained according to the design data of the sports shoe product in the design stage, the empirical model and the sports shoe product data corresponding to the existing sports shoe product; the environmental impact factor data includes environmental impact factors of different environmental emissions or resource consumptions on different environmental impact categories; the environmental impact factors are used to reflect the contribution of different environmental emissions or resource consumptions to different environmental impact categories; A full life cycle cost assessment module is used to assess the full life cycle cost of the sports shoe product in the design stage according to the sports shoe product data, the labor time learning curve, the material consumption learning curve and the energy consumption learning curve, and obtain a full life cycle cost estimation result; the full life cycle cost estimation result includes the estimation results of the raw material procurement cost, manufacturing cost, transportation cost, use cost, treatment and disposal cost, labor cost, material consumption cost and energy consumption cost of the sports shoe product in the design stage; the life cycle pre-evaluation result and the full life cycle cost estimation result are used to assist designers in designing the sports shoe product in the design stage; The user interface module is used to receive a first operation from a user to access the data collection module, the data processing module, the life cycle assessment module and the full life cycle cost assessment module.

2. The system according to claim 1, characterized in that The formula for the labor time learning curve is: Among them, T(n,m,i T ) indicates that the worker number is i T The labor time required for the workers to produce the nth unit of sports shoes in the mth production section; T Indicates that the worker number is i T The labor time required for the mth production section of the worker to produce the first unit of sports shoes; b T represents the labor time learning rate, b T The production process is obtained by fitting the manufacturing data; the production process is obtained by dividing the production process of the sports shoe product; The formula for the material consumption learning curve is: Among them, Q(n,m,i Q ) represents the i-th production section in the m-th production section producing the n-th unit of sports shoes. Q The consumption of a material; Q Indicates the i-th production section in the m-th production section producing the first unit of sports shoes Q The consumption of the material; b Q represents the material consumption learning rate, b Q Obtained by fitting the raw material data and the manufacturing data; The formula for the energy consumption learning curve is: Among them, E(n,m,i E ) represents the i-th production section in the m-th production section producing the n-th unit of sports shoes. E The consumption of energy; E Indicates the production of the first unit of sports shoes in the mth production section. E The consumption of energy; E represents the energy consumption learning rate, b E It is obtained by fitting according to the manufacturing data.

3. The system according to claim 2, characterized in that The life cycle cost assessment module is also used to: According to the labor time learning curve, the estimated result of the labor cost is calculated by the following formula: Among them, C T Represents the estimated result of the labor cost; T(n,m,i T ) indicates that the worker number is i T The labor time required for the mth production section of the worker to produce the nth unit of sports shoes; T represents the total number of workers; N represents the total number of sports shoes produced; M represents the total number of production sections; S represents the wage per unit time; According to the material consumption learning curve, the estimated result of the material consumption cost is calculated by the following formula: Among them, C Q represents the estimated result of the material consumption cost; Q(n,m,i Q ) represents the i-th production section in the m-th production section producing the n-th unit of sports shoes. Q The consumption of the material; Q represents the total number of material types; N represents the total number of sports shoes produced; M represents the total number of production sections; c Q (i Q ) represents the i-th Q The unit price of the material; According to the energy consumption learning curve, the estimated result of the energy consumption cost is calculated by the following formula: Among them, C E represents the estimated result of the energy consumption cost; E(n,m,i E ) represents the i-th production section in the m-th production section producing the n-th unit of sports shoes. E The consumption of energy; E represents the total number of energy types; N represents the total number of sports shoes produced; M represents the total number of production sections; c E (i E ) represents the i-th E The unit price of energy.

4. The system according to claim 1, characterized in that The life cycle ex ante evaluation results include environmental impact results; the environmental impact results include the contribution of each life cycle stage to different environmental impact categories during the entire life cycle of the sports shoe product at the design stage; The life cycle assessment module is also used to: According to the formula F=I·E, the environmental impact result is obtained; The whole life cycle includes h life cycle stages, each life cycle stage includes p types of environmental emissions or resource consumption, and the number of environmental impact categories is q; F represents a matrix of size h×q, and the element F in the i-th row and k-th column of the F matrix is ik represents the contribution of the i-th life cycle stage to the k-th environmental impact category; I represents a matrix of size h×p, and the element I in the i-th row and j-th column of the matrix I ij represents the amount of the jth environmental emission or resource consumption in the i-th life cycle stage; the I matrix is ​​obtained according to the first life cycle inventory data; E represents a matrix of size p×q, and the element E in the j-th row and k-th column of the E matrix jk It represents the environmental impact factor of the j-th environmental emission or resource consumption on the k-th environmental impact category.

5. The system according to claim 4, characterized in that The environmental impact factor data also includes the data quality score of each environmental impact factor; the data quality score is negatively correlated with the data quality of the environmental impact factor; the E matrix includes the E1 matrix, the E2 matrix and the E3 matrix; the F matrix includes the F1 matrix, the F2 matrix and the F3 matrix; the element E in the jth row and the kth column of the E1 matrix jk1 is the environmental impact factor with the lowest data quality score among multiple environmental impact factors of the jth environmental emission or resource consumption on the kth environmental impact category in the environmental impact factor data; the element E in the jth row and kth column of the E2 matrix jk2 is the environmental impact factor with the largest value among multiple environmental impact factors of the j-th environmental emission or resource consumption on the k-th environmental impact category in the environmental impact factor data; the element E in the j-th row and k-th column of the E3 matrix jk3 The environmental impact factor with the smallest value among multiple environmental impact factors of the j-th environmental emission or resource consumption on the k-th environmental impact category in the environmental impact factor data; The life cycle assessment module is also used to: Calculate F1=I·E1, where the F1 matrix is ​​used to represent the environmental impact results with the highest data quality; Calculate F2=I·E2, where the F2 matrix is ​​used to represent the environmental impact result with the greatest environmental impact; F3=I·E3 is calculated, and the F3 matrix is ​​used to represent the environmental impact result with the minimum environmental impact.

6. The system according to claim 4 or 5, characterized in that: The life cycle ex ante evaluation results also include the monetization results of the environmental impacts at each life cycle stage during the entire life cycle of the sports shoe product at the design stage; the monetization results of the environmental impacts at each life cycle stage are used to evaluate the economic value of the environmental impacts at each life cycle stage; The life cycle assessment module is also used to: According to the formula N = F·W, the monetization results of the environmental impacts of each life cycle stage are obtained; Where N is a matrix of size h×1, and the element N in the i-th row of the matrix N is i represents the monetization result of the environmental impact of the i-th life cycle stage; W represents a matrix of size q×1, and the element W in the k-th row of the matrix W k Represents the weight of the kth environmental impact category.

7. The system according to claim 1, characterized in that The estimated result of the raw material procurement cost is obtained based on the raw material data; the estimated result of the manufacturing cost is obtained based on the manufacturing data; the estimated result of the transportation cost is obtained based on the transportation data; The estimated result of the usage cost is obtained based on the usage data; the estimated result of the processing and disposal cost is obtained based on the processing and disposal data.

8. The system according to claim 1, characterized in that The user interface module is further used to receive a second operation of the user to perform scenario setting; the scenario setting includes setting the material, structure, manufacturing process, transportation route, and post-use treatment method of different design schemes of the sports shoe product in the design stage; The life cycle assessment module is also used to evaluate the environmental impact of each life cycle stage of the sports shoe product in the design stage in the whole life cycle under different scenario settings; The full life cycle cost assessment module is also used to assess the full life cycle cost of the sports shoe product in the design stage under different scenario settings.

9. The system according to claim 1, characterized in that The data collection module is further used to obtain sports shoe product data corresponding to the sports shoe product in the design stage after the sports shoe product in the design stage is put into production; The life cycle assessment module is further used to evaluate the environmental impact of each life cycle stage of the sports shoe product in the design stage after production based on the second life cycle inventory data and the environmental impact factor data, based on the life cycle assessment method, to obtain a post-life cycle assessment result; the second life cycle inventory data is obtained based on the sports shoe product data corresponding to the sports shoe product in the design stage after production; The data processing module is further used to adjust the empirical model according to the life cycle ex ante evaluation result and the life cycle ex post evaluation result.

10. A sports shoe eco-design management method based on forward-looking life cycle thinking, characterized in that: Applied to the sports shoe ecological design management system based on the forward-looking life cycle concept as described in any one of claims 1 to 9, the method comprises: Using the data collection module, the sports shoe product data is obtained; the sports shoe product data includes raw material data, manufacturing data, transportation data, usage data and processing and disposal data; the raw material data includes data of raw materials used in the sports shoe product; the manufacturing data includes data in the manufacturing process of the sports shoe product; the transportation data includes data in the transportation process of the sports shoe product; the usage data includes data in the use process of the sports shoe product; the processing and disposal data includes data on the processing and recycling of the used sports shoe product; The data processing module is used to clean, verify, integrate and check the sports shoe product data, and an empirical model is established based on the raw material data and the manufacturing data; the empirical model includes a labor time learning curve, a material consumption learning curve and an energy consumption learning curve; the labor time learning curve is used to represent the change of the labor time of workers in producing sports shoe products with the number of sports shoe products produced; the material consumption learning curve is used to represent the change of material consumption in the sports shoe product manufacturing process with the number of sports shoe products produced; the energy consumption learning curve is used to represent the change of energy consumption in the sports shoe product manufacturing process with the number of sports shoe products produced; By using a life cycle assessment module, based on the first life cycle inventory data and the environmental impact factor data, and based on the life cycle assessment method, the environmental impact of each life cycle stage of the sports shoe product in the design stage is evaluated within the entire life cycle to obtain a life cycle ex ante evaluation result; the first life cycle inventory data is obtained based on the design data of the sports shoe product in the design stage, the empirical model and the sports shoe product data corresponding to the existing sports shoe product; the environmental impact factor data includes environmental impact factors of different environmental emissions or resource consumptions on different environmental impact categories; the environmental impact factors are used to reflect the contribution of different environmental emissions or resource consumptions to different environmental impact categories; By using a full life cycle cost assessment module, the cost of the sports shoe product in the design stage in the full life cycle is assessed according to the sports shoe product data, the labor time learning curve, the material consumption learning curve and the energy consumption learning curve to obtain a full life cycle cost estimation result; the full life cycle cost estimation result includes the estimation results of the raw material procurement cost, manufacturing cost, transportation cost, use cost, processing and disposal cost, labor cost, material consumption cost and energy consumption cost of the sports shoe product in the design stage; the life cycle pre-evaluation result and the full life cycle cost estimation result are used to assist designers in designing the sports shoe product in the design stage; By utilizing the user interface module, a first operation of the user is received to access the data collection module, the data processing module, the life cycle assessment module and the full life cycle cost assessment module.

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