Supply chain product data collection and distribution system and method based on cloud platform

Abstract

The invention discloses a supply chain product data collection and distribution system and method based on a cloud platform, and solves the problems of universality and professionality of data collection through dual-mode information collection, solves the problems of data multiplexing and collaboration through autonomous distribution, solves the problems of data quality and credibility through mapping storage and log management, and improves the data quality and reliability. And the flexibility requirement of management is met through the layered supplier pool. Finally, an efficient, reliable and collaborative supply chain carbon data management ecology is constructed, and a powerful data infrastructure and a decision support tool are provided for enterprises to realize full-life-cycle carbon management and cope with trade barriers such as carbon deal tax. The problems that a supply chain product life cycle data collection mode is low in efficiency, many in repetitive work, inconvenient in supplier management and difficult in data filling and reporting are effectively solved, and the data collection efficiency and quality are improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of environmental impact assessment, in particular to a supply chain product data collection and distribution system and method based on a cloud platform. BACKGROUND

[0002] In today's supply chain management, the collection of product life cycle assessment data is of great significance for enterprises to achieve low-carbon development, meet environmental protection requirements, and make scientific decisions. However, the existing technology has many deficiencies in data collection.

[0003] The traditional supply chain carbon data collection method is mostly single-point collection, that is, for each data collection object, a link is sent to the corresponding supplier, and the supplier logs in to fill in the relevant information and submits it. This method has obvious low efficiency problem, the supplier needs to repeat filling similar data for different customers, which not only increases the work burden of the supplier, but also leads to a lot of repetitive work.

[0004] At the same time, in terms of supplier management, if a one-to-one supplier mode is adopted, a supplier needs to create an account multiple times if he supplies goods to multiple enterprises, which not only brings inconvenience to the supplier, but also is not conducive to the platform to uniformly manage and maintain the supplier information, making the supplier information scattered and difficult to achieve efficient data collection and integration.

[0005] In addition, the existing technology also has certain limitations in terms of data collection methods and scope. The data collection method is relatively single and difficult to meet the data collection needs in different scenarios; for the pain points of different abilities of the reporting personnel in the supply chain data collection scene (such as some suppliers lack of life cycle assessment (LCA) professional knowledge, and some suppliers do not have the ability to fill in the model), it is difficult to accurately match the needs of reporting personnel with different ability levels through differentiated design.

[0006] Therefore, it is a problem for those skilled in the art to provide a supply chain product data collection and distribution system and method based on a cloud platform to solve the above technical problems. SUMMARY

[0007] The purpose of the present application is to provide a supply chain product data collection and distribution system based on a cloud platform, which has a simple structure, is safe, effective, reliable and easy to operate, and can effectively solve the problems of low efficiency, repetitive work, inconvenient supplier management and difficult data filling in the life cycle data collection method, and improve the data collection efficiency and quality.

[0008] To achieve the above purpose, the technical scheme provided by the present application is as follows: A supply chain product data collection and distribution system based on a cloud platform, comprising: a supplier pool management module for managing a public supplier pool and a private supplier pool; a registration and authentication module for enabling a supplier to register an account and submit information to enter the public supplier pool, and supporting an authenticated company account access for online authentication and report evidence; a data collection initiation module for enabling an enterprise user to select a supplier from the enterprise private supplier pool and configure data collection task parameters; a data filing and sending module for enabling a supplier to file data according to a corresponding data collection method initiated by an enterprise, and send the filed data to the enterprise for auditing; an autonomous filing and distribution module for enabling a supplier to autonomously select a data collection method to create a product data file, and distribute the completed data to a designated receiving enterprise; a data mapping and storage module for mapping the data filed by a supplier to a corresponding life cycle model unit process after the enterprise's auditing, and calculating and generating a life cycle impact assessment result for storage; a log management module for recording whole-process log information of data from application, sending to receiving.

[0009] Preferably, the public supplier pool is used to store the information of suppliers who pass the auditing; the private supplier pool is composed of cooperative suppliers selected by an enterprise from the public supplier pool according to the supplier information.

[0010] Preferably, the collection task parameters include a data collection method; the data collection method includes a table collection mode or a model collection mode.

[0011] Preferably, the data mapping and storage module further includes a life cycle impact assessment sub-module; the life cycle impact assessment sub-module is used to select a life cycle impact assessment method and an impact category for product life cycle impact assessment based on a product full life cycle model and collected data of a supply chain, and perform contribution degree analysis and sensitivity analysis, and integrate the contribution degree analysis result and the sensitivity analysis result as the life cycle impact assessment result.

[0012] Preferably, the life cycle impact assessment sub-module is realized according to an emission coefficient, a characteristic factor, a reference value, a weighting factor and a preset formula in the process of performing the life cycle impact assessment result generation.

[0013] Preferably, the table collection mode is specifically: The enterprise predefines data items to be collected and filling rules in the system; The supplier fills in the corresponding data in the pre-defined form template.

[0014] Preferably, the model collection mode is specifically: The supplier constructs a corresponding model unit process according to the life cycle model; The related data is filled in and matched with the background data for the model unit process.

[0015] Preferably, when the data mapping and storage module performs data mapping, it includes: For the data filled in the form collection mode, the system matches the corresponding background data and generates the life cycle impact assessment result; For the data filled in the model collection mode, the system data is mapped to the corresponding unit process in the life cycle model, and the life cycle impact assessment result is generated.

[0016] Preferably, the logs recorded by the log management module include: data application logs, data sending logs and data receiving logs.

[0017] A cloud platform-based supply chain product data collection and distribution method, comprising the following steps: The supplier submits registration information, and after being audited, enters the public supplier pool, and the enterprise selects suppliers from the public supplier pool to the private supplier pool; The enterprise selects a supplier from the private supplier pool and configures data collection task parameters; The supplier fills in the data according to the corresponding data collection method initiated by the enterprise and submits it to the enterprise for audit; The supplier independently selects the data collection method to create a product data file, and distributes the filled-in data to the designated receiving enterprise; After the enterprise's audit is passed, the data filled in by the supplier is mapped to the corresponding life cycle model unit process, and the life cycle impact assessment result is calculated and generated for storage; Real-time record the whole process log information from application, sending to receiving.

[0018] Preferably, The data collection task parameters include data collection methods; The data collection method includes a form collection mode or a model collection mode.

[0019] Preferably, When the form collection mode is configured, the enterprise predefines the data items to be collected and the filling rules; When the model collection mode is configured, the enterprise specifies a fixed unit process.

[0020] Preferably, When the table collection mode is selected, the supplier fills in the enterprise pre-defined table template. When the model collection mode is selected, the supplier fills in the relevant data and matches the background data for the enterprise specified model unit process.

[0021] Preferably, the generating the life cycle impact assessment result specifically comprises: Based on the product full life cycle model and the data collected by the supply chain, a life cycle impact assessment method and an impact category are selected for product life cycle impact assessment, and contribution degree analysis and sensitivity analysis are performed, and the contribution degree analysis result and the sensitivity analysis result are integrated as the life cycle impact assessment result.

[0022] Preferably, in the process of generating the life cycle impact assessment result, it is realized according to the emission coefficient, the characteristic factor, the reference value, the weighting factor and the preset formula.

[0023] The application discloses a supply chain product data collection and distribution system based on a cloud platform, solves the universality and professionalism of data collection through a double-mode data collection, solves the data reuse and collaboration through autonomous distribution, solves the data quality and reliability through mapping storage and log management, and meets the flexibility requirement of management through a hierarchical supplier pool. Finally, it builds an efficient, reliable and collaborative supply chain carbon data management ecology, provides a powerful data infrastructure and decision support tool for enterprises to realize full life cycle carbon management and cope with carbon tariffs and other trade barriers, effectively solves the problems of low efficiency, repetitive work, inconvenient supplier management and difficult data filling in the supply chain product life cycle data collection mode, and improves the data collection efficiency and quality.

[0024] The application also discloses a supply chain product data collection and distribution method based on a cloud platform. Since the method and the system belong to the same technical concept, solve the same technical problems, and should have the same beneficial effects, details are not repeated here. BRIEF DESCRIPTION OF DRAWINGS

[0025] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the drawings needed in the embodiment or prior art description will be briefly introduced as follows. Obviously, the drawings in the following description are only some embodiments of the present application, and those skilled in the art can also obtain other drawings according to these drawings without creative labor.

[0026] Figure 1A schematic diagram of a cloud-based supply chain product data collection and distribution device provided for an embodiment of the present invention; Figure 2 This is a schematic diagram of the structure of the data mapping and storage module provided in an embodiment of the present invention; Figure 3 A flowchart illustrating a cloud-based supply chain product data collection and distribution method provided in this embodiment of the invention. Detailed Implementation

[0027] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0028] The embodiments of this invention are written in a progressive manner.

[0029] This invention provides a cloud-based supply chain product data collection and distribution system. It primarily addresses the technical problems of inefficient, repetitive, inconvenient supplier management, and difficult data entry methods in existing supply chain product lifecycle data collection technologies.

[0030] like Figure 1 As shown, a cloud-based supply chain product data collection and distribution system includes: The supplier pool management module is used to manage the public supplier pool and the private supplier pool; The registration and authentication module enables suppliers to register accounts and submit information to enter the public supplier pool, and supports access to authentication company accounts for online authentication and report storage. The data collection initiation module enables enterprise users to select suppliers from the enterprise's private supplier pool and configure data collection task parameters; The data entry and sending module enables suppliers to enter data according to the data collection tasks initiated by the enterprise, using the corresponding data collection methods, and then send the entered data to the enterprise for review. The self-reporting and distribution module allows suppliers to independently choose data collection methods to create product data profiles and distribute the completed data to designated receiving companies. The data mapping and storage module is used to map the data submitted by the supplier to the corresponding life cycle model unit process after the enterprise approves it, and to calculate and store the life cycle impact assessment results. The log management module is used to record log information for the entire process of data application, sending, and receiving.

[0031] Among them, the data collection task parameters are the core set of variables configured by enterprises when initiating data collection tasks. They act as a "translator" and "commander" between enterprise data needs and supplier data submissions. Their design directly determines the targeting, efficiency, and quality of data collection. Data submission is the core interactive link connecting all parties in the supply chain (enterprises and suppliers) to achieve carbon data aggregation. Its design directly determines the supplier's willingness to participate, submission efficiency, and the quality of the final data. Data mapping is the "intelligent brain" and "value enhancer" of the entire system. It refers to the process by which the system automatically converts and associates activity data submitted by suppliers in different ways and formats into a unified, standardized life cycle assessment model. This step is the core link in transforming raw data into valuable carbon footprint information. The life cycle model unit process is a core concept in the life cycle assessment methodology and the fundamental guarantee for the system to achieve structured, standardized, and computable carbon data. It refers to the smallest, quantifiable, basic activity units with clear inputs and outputs in the product life cycle. Full-process log information refers to the system automatically and immutably recording every key operational node from data generation to final use. It has built a complete data traceability and audit tracking system.

[0032] In practical application, the cloud-based supply chain product data collection and distribution system manages the public supplier pool and private supplier pool through the supplier pool management module; through the registration and authentication module, suppliers register accounts via email, submit supplier information (such as unified social credit code and category), and enter the public supplier pool after being reviewed and approved by the platform. It supports access from certified company accounts, allowing certified accounts to view pending certification reports and conduct online certification. Upon successful certification, the certification report must be uploaded for record-keeping. The data collection initiation module enables enterprise users to select suppliers from a private supplier pool and configure data collection task parameters on the new data collection object creation page (including fields such as type, name, quantity, unit, supplier, data collection boundary, and collection method). The data entry and sending module allows suppliers to log in and submit data according to the corresponding data collection method. After submission, the supplier sends the data to the enterprise for review. The self-reporting and distribution module allows suppliers to log in, select an appropriate data collection method, and self-report data. After submission, multiple receiving enterprises can be selected via the forwarding function, and relevant information can be modified during distribution for precise data distribution to multiple customers. The data mapping and storage module automatically maps the supplier-submitted data to the corresponding unit process in the lifecycle model after enterprise approval, ultimately generating a lifecycle impact assessment result. The log management module records the entire process of data submission, transmission, and reception.

[0033] Preferably, The public supplier pool is used to store information on approved suppliers; A private supplier pool consists of cooperative suppliers selected by an enterprise from a public supplier pool based on supplier information.

[0034] In practice, the established public supplier pool is used to store information on approved suppliers; enterprises select cooperative suppliers from the public supplier pool to form a private supplier pool based on the supplier information they need. The dual structure of public and private supplier pools cleverly balances the seemingly contradictory needs of platform-level collaborative sharing and enterprise-level privacy and security. The public pool acts as the "soil," nurturing the ecosystem of the entire supply chain network and reducing overall transaction costs. The private pool is the "garden," allowing each enterprise to securely and efficiently cultivate and manage its core partnerships and data. This design is the system's fundamental and strategic advantage in achieving efficient collection and accurate distribution, and in earning the trust of enterprises and suppliers.

[0035] Preferably, The parameters for the data collection task include: the data collection method; Data collection methods include: table-based collection mode or model-based collection mode.

[0036] In practical applications, the data collection task parameters include the data collection method, which is further divided into table collection mode and model collection mode. The essence of this system design lies in parameterizing the data collection method and defining it as a dual-mode system of tables and models. Treating the "data collection method" as a selectable "task parameter" yields multi-layered and positive technical effects: For business: it achieves flexibility and adaptability, covering various data collection scenarios from simple to complex. For efficiency: it significantly optimizes labor and time costs, improving efficiency through automation and human-machine collaboration. For quality: it provides fine-grained control over quality, enabling the optimal trade-off between quality and speed. For the system: it lays the foundation for a modular and scalable architecture, ensuring the system's long-term maintainability and technological vitality. The core value of this technology lies in transforming data collection from a fixed, rigid process into a dynamically configurable, on-demand optimized service.

[0037] like Figure 2 As shown, preferably, the data mapping and storage module further includes a life cycle impact assessment submodule; The Life Cycle Impact Assessment submodule is used to conduct product life cycle impact assessment based on data collected from the product life cycle model and supply chain, select life cycle impact assessment methods and impact categories, perform contribution analysis and sensitivity analysis, and integrate the results of contribution analysis and sensitivity analysis as the life cycle impact assessment result.

[0038] In practical applications, the designed data mapping and storage module includes a life cycle impact assessment submodule. Based on the product life cycle model and data collected from the supply chain, the life cycle impact submodule selects the corresponding life cycle impact assessment method and impact category to conduct product life cycle impact assessment, contribution analysis, and sensitivity analysis, and generates life cycle impact assessment results.

[0039] The life cycle impact assessment submodule, integrating contribution and sensitivity analysis, is the system's true "intelligent brain." It transforms carbon data into carbon insights, telling companies what they should do and what to prioritize. It shifts carbon management from a cost center to a value center, supporting precise decision-making, avoiding ineffective investments, and ultimately achieving a win-win situation of cost reduction and efficiency improvement (energy conservation and emission reduction) and green transformation. This design makes the system not merely a tool to meet current compliance requirements, but a decision support platform that guides companies' future green development strategies, giving them a crucial head start in the low-carbon economy competition.

[0040] Preferably, the life cycle impact assessment submodule generates the life cycle impact assessment results based on emission coefficients, characteristic factors, reference values, weighting factors, and preset formulas.

[0041] In practical applications, the process of generating life cycle impact assessment results is as follows: ; (In one embodiment, if the product consumes 10,000 kWh of electricity during its life cycle (activity data), assuming the CO2 emission factor of electricity is 0.6205 kgCO2e / kWh, the calculation would be: CO2 emissions = 10,000 kWh × 0.6205 kgCO2e / kWh = 6205 kgCO2e) ; (In one embodiment, for climate change, if a product releases 100 kg of carbon dioxide (CO2) and 1 kg of nitrous oxide (N2O) during its life cycle, where the 100-year global warming potential of nitrous oxide (N2O) is 273 times that of carbon dioxide, the calculation is: Climate change result = (100 kg CO2 × 1) + (1 kg N2O × 273) = 373 kg CO2e) ; ; Among them, the emission factor is how much emissions or waste is generated per unit of activity, the characterization factor is a factor that converts a unit of emission into a general impact of a specific environmental impact category, the reference value is usually the regional or global total impact of the same category, and the weighting factor represents the numerical value of the relative importance of each impact category.

[0042] Preferably, the form collection mode is as follows: The enterprise predefines the data items to be collected and the filling rules in the system; Suppliers fill in the corresponding data in a predefined form template.

[0043] In practice, the data collection method using forms requires companies to select and customize the data items to be collected (the company sets the activity data to be collected) and designate the corresponding suppliers to fill them out. For the "form collection" method, suppliers need to fill in the corresponding activity data.

[0044] This form-based data collection model, through a division of labor where enterprises lead the customization and suppliers fill in the blanks, successfully delegates complex professional tasks to the system and enterprises, while assigning simple execution tasks to suppliers. It is a design with profound user insight, deeply understanding the diversity and capability differences among supply chain participants. It is a pragmatic strategic choice that prioritizes the feasibility and universality of data collection by sacrificing some of the "advanced" aspects of the data (such as the structured nature of the model). This model, through "enterprise-customized templates + supplier fill-in," solves the problem of "not knowing how to fill in the form" or "filling it in inaccurately" caused by a lack of knowledge among non-professionals, ensuring the effective collection of basic carbon data (such as direct emissions and energy consumption) and covering the universal needs of numerous small and medium-sized suppliers in the supply chain.

[0045] Preferably, the model collection mode is as follows: Suppliers construct response model unit processes based on the lifecycle model; For the model unit process, fill in the relevant data and match the background data.

[0046] In practical application, suppliers need to construct corresponding model unit processes (including raw material acquisition, production, distribution, use, and waste disposal) based on actual conditions. For specific unit processes in the model (such as "steel production unit"), they need to fill in activity data (such as output, energy consumption, and emission factors). For the "model collection" method, suppliers need to fill in relevant activity data for the corresponding unit processes and select matching background data, etc.

[0047] The model collection model enhances data value by having suppliers build models and systematically submit data. It's a forward-looking and in-depth design aimed at acquiring the most valuable, high-quality, structured, and reusable carbon data assets from the supply chain. It's an enabling design that not only serves core enterprises but also helps capable suppliers build their inherent carbon management capabilities, enhancing their core competitiveness in the green economy. This model, through "model-guided + structured submission," leverages suppliers' expertise to improve the structuring of data (directly corresponding to model unit processes), meeting the needs of leading companies in the supply chain for high-quality, reusable carbon data.

[0048] Preferably, when the data mapping and storage module performs data mapping, it includes: For data submitted in a table-based collection format, the system matches the corresponding background data and generates a lifecycle impact assessment result; For data submitted using the model collection mode, the system data is mapped to the corresponding unit process in the life cycle model, and life cycle impact assessment results are generated.

[0049] In practical application, a dual-path data mapping system was designed so that data submitted in either mode would generate corresponding lifecycle impact assessment results.

[0050] The dual-path design of the data mapping and storage module is the technological guarantee for the system to achieve its core commitment of "efficient collection and distribution." It connects the flexible data collection strategy at the front end with the unified and rigorous carbon footprint accounting at the back end. It transforms diverse raw data, regardless of its source, into standardized, high-quality carbon information that can be directly used for decision-making. This allows non-professional data to realize its professional value while maximizing the integrated utility of professional data. This design ensures that the system is not a simple data transfer station, but an intelligent platform that can continuously generate deep value and accumulate green digital capital for enterprises.

[0051] Preferably, the logs recorded by the log management module include: data request logs, data sending logs, and data receiving logs.

[0052] In practical application, the three types of logs recorded together constitute a complete and tamper-proof "digital footprint" of data flow within the system. This design goes far beyond simple operation recording; it infuses the supply chain carbon data system with credibility, security, and efficient operational capabilities.

[0053] like Figure 3 As shown, a method for collecting and distributing supply chain product data based on a cloud platform includes the following steps: S1. Suppliers submit registration information, which is reviewed and then enters the public supplier pool. Enterprises select suppliers from the public supplier pool to enter the private supplier pool. S2. The enterprise selects a supplier from its private supplier pool and configures the data collection task parameters; S3. Suppliers shall fill in the data according to the corresponding data collection method and submit it for review by the enterprise based on the task initiated by the enterprise; S4. Suppliers independently select data collection methods to create product data profiles and distribute the completed data to designated receiving companies; S5. After the enterprise approves the data, map the data submitted by the supplier to the corresponding life cycle model unit process, calculate and generate the life cycle impact assessment results and store them; S6. Records real-time log information of the entire process of data application, sending, and receiving.

[0054] Steps S1 to S6 detail the specific implementation of the cloud-based supply chain product data collection and distribution method. These six steps form a closely collaborative, self-reinforcing closed-loop system, ultimately bringing the following strategic benefits to enterprises: Increased efficiency: Through "dual pool management", "dual-mode fund collection" and "autonomous distribution", the data collaboration efficiency of all participants in the upstream and downstream of the supply chain has been greatly improved.

[0055] Cost reduction: Significantly reduces redundant work for suppliers and management and communication costs for enterprises, enabling large-scale and economical operation of supply chain carbon management.

[0056] Quality and credibility assurance: Through automated mapping calculations and full-link logging, the scientific validity, accuracy, and auditability of data results are ensured, producing reliable carbon footprint reports.

[0057] Decision support upgrade: Transform carbon data into in-depth insights, empowering enterprises to transform from passive data collectors into proactive supply chain carbon management strategists.

[0058] Ecological value: This method constructs a sustainable supply chain carbon data ecosystem, encourages suppliers to improve their capabilities, and promotes the entire value chain towards a green, transparent, and collaborative direction.

[0059] Preferably, Data collection task parameters, including data collection methods; Data collection methods include: table-based collection mode or model-based collection mode.

[0060] Preferably, When configuring the form collection mode, the enterprise predefines the data items to be collected and the filling rules; When configuring the model collection mode, the enterprise specifies a fixed unit process.

[0061] Preferably, When the form collection mode is selected, the supplier fills in the company's predefined form template; When the model collection mode is selected, the supplier fills in the relevant data and matches the background data for the model unit process specified by the enterprise.

[0062] Preferably, the life cycle impact assessment results are generated, specifically as follows: Based on the product lifecycle model and data collected from the supply chain, we selected lifecycle impact assessment methods and impact categories to conduct product lifecycle impact assessment, and performed contribution analysis and sensitivity analysis. We then integrated the results of the contribution analysis and sensitivity analysis as the final lifecycle impact assessment result.

[0063] Preferably, the process of generating life cycle impact assessment results is achieved based on emission coefficients, characteristic factors, reference values, weighting factors, and preset formulas.

[0064] In practical application, the data collection model, the content executed by enterprises and suppliers according to the corresponding model, and the generation process of lifecycle impact results are all the same as the aforementioned system design, and will not be repeated here.

[0065] In the embodiments provided in this application, it should be understood that the disclosed methods and systems can be implemented in other ways. The system embodiments described above are merely illustrative. For example, the division of modules is only a logical functional division, and in actual implementation, there may be other division methods, such as: multiple modules or components can be combined, or integrated into another system, or some features can be ignored or not executed. In addition, the coupling, direct coupling, or communication connection between the various components shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or modules, and can be electrical, mechanical, or other forms.

[0066] Furthermore, in the various embodiments of the present invention, each functional module can be fully integrated into a processor, or each module can be a separate device, or two or more modules can be integrated into a device; each functional module in the various embodiments of the present invention can be implemented in hardware or in the form of hardware plus software functional units.

[0067] Those skilled in the art will understand that all or part of the steps of the above method embodiments can be implemented by program instructions and related hardware. The aforementioned program instructions can be stored in a computer-readable storage medium. When the program instructions are executed, they perform the steps of the above method embodiments. The aforementioned storage medium includes various media that can store program code, such as mobile storage devices, read-only memory (ROM), magnetic disks, or optical disks.

[0068] It should be understood that the use of terms such as "system," "device," "unit," and / or "module" in this application is merely one method of distinguishing different components, elements, parts, sections, or assemblies at different levels. However, if other terms can achieve the same purpose, they may be replaced by other expressions.

[0069] As indicated in this application and claims, unless the context clearly indicates otherwise, the words "a," "an," "a," and / or "the" are not specifically singular and may include the plural. Generally, the terms "comprising" and "including" only indicate the inclusion of expressly identified steps and elements, which do not constitute an exclusive list, and the method or apparatus may also include other steps or elements. An element defined by the phrase "comprising an..." does not exclude the presence of other identical elements in the process, method, product, or apparatus that includes the element.

[0070] If a flowchart is used in this application, it is used to illustrate the operations performed by the system according to embodiments of this application. It should be understood that the preceding or following operations are not necessarily performed in exact order. Instead, the steps can be processed in reverse order or simultaneously. Furthermore, other operations can be added to these processes, or one or more steps can be removed from them.

[0071] The foregoing has provided a detailed description of a cloud-based supply chain product data collection and distribution device provided by the present invention. The above description of the disclosed embodiments enables those skilled in the art to make or use the present invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the invention. Therefore, the present invention is not to be limited to the embodiments shown herein, but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A cloud-based supply chain product data collection and distribution system, characterized in that, include: The supplier pool management module is used to manage the public supplier pool and the private supplier pool; The registration and authentication module enables suppliers to register accounts and submit information to enter the public supplier pool, and supports access for authentication company accounts to conduct online authentication and report storage. The data collection initiation module is used to enable enterprise users to select suppliers from the enterprise's private supplier pool and configure data collection task parameters; The data entry and sending module enables suppliers to enter data according to the data collection tasks initiated by the enterprise, using the corresponding data collection methods, and then send the entered data to the enterprise for review. The self-reporting and distribution module allows suppliers to independently select the data collection method to create product data files and distribute the completed data to designated receiving companies. The data mapping and storage module is used to map the data submitted by the supplier to the corresponding life cycle model unit process after the enterprise approves it, and to calculate and store the life cycle impact assessment results. The log management module is used to record log information for the entire process of data application, sending, and receiving.

2. The cloud-based supply chain product data collection and distribution system as described in claim 1, characterized in that, The public supplier pool is used to store information on approved suppliers; The private supplier pool consists of cooperative suppliers selected by the enterprise from the public supplier pool based on the supplier information.

3. The cloud-based supply chain product data collection and distribution system as described in claim 1, characterized in that, The data collection task parameters include: data collection method; The data collection methods include: table collection mode or model collection mode.

4. The cloud-based supply chain product data collection and distribution system as described in claim 1, characterized in that, The data mapping and storage module also includes: a life cycle impact assessment submodule; The life cycle impact assessment submodule is used to conduct product life cycle impact assessment based on the product life cycle model and data collected from the supply chain, select life cycle impact assessment methods and impact categories, perform contribution analysis and sensitivity analysis, and integrate the contribution analysis results and sensitivity analysis results as the life cycle impact assessment result.

5. The cloud-based supply chain product data collection and distribution system as described in claim 4, characterized in that, The life cycle impact assessment submodule generates the life cycle impact assessment results based on emission coefficients, characteristic factors, reference values, weighting factors, and preset formulas.

6. The cloud-based supply chain product data collection and distribution system as described in claim 3, characterized in that, The specific form collection mode is as follows: The enterprise predefines the data items to be collected and the filling rules in the system; Suppliers fill in the corresponding data in a predefined form template.

7. The cloud-based supply chain product data collection and distribution system as described in claim 3, characterized in that, The specific model collection mode is as follows: Suppliers construct corresponding model unit processes based on the aforementioned lifecycle model; For the aforementioned model unit process, relevant data is filled in and matched with background data.

8. The cloud-based supply chain product data collection and distribution system as described in claim 3, characterized in that, When the data mapping and storage module performs data mapping, it includes: For data submitted using the aforementioned table collection method, the system matches the corresponding background data and generates the life cycle impact assessment results. For data collected using the model, the system data is mapped to the corresponding unit process in the life cycle model, and the life cycle impact assessment results are generated.

9. The cloud-based supply chain product data collection and distribution system as described in claim 1, characterized in that, The logs recorded by the log management module include: data request logs, data sending logs, and data receiving logs.

10. A method for collecting and distributing supply chain product data based on a cloud platform, characterized in that, Includes the following steps: Suppliers submit registration information, which is then reviewed and entered into a public supplier pool. Enterprises then select suppliers from the public supplier pool to enter their private supplier pool. The enterprise selects a supplier from the private supplier pool and configures the data collection task parameters; Suppliers submit data for review by the company based on the tasks initiated by the company, using the corresponding data collection methods. Suppliers may independently choose the data collection method to create product data profiles and distribute the completed data to designated receiving companies. After the enterprise approves the data, the data submitted by the supplier is mapped to the corresponding life cycle model unit process, and the life cycle impact assessment results are calculated and stored. It records the entire process of data from application to sending and receiving in real time.

11. The method for collecting and distributing supply chain product data based on a cloud platform as described in claim 10, characterized in that, The data collection task parameters include the data collection method; The data collection methods include: table collection mode or model collection mode.

12. The method for collecting and distributing supply chain product data based on a cloud platform as described in claim 11, characterized in that, When configuring the form collection mode, the enterprise predefines the data items to be collected and the filling rules; When configuring the model collection mode, the enterprise specifies a fixed unit process.

13. The method for collecting and distributing supply chain product data based on a cloud platform as described in claim 12, characterized in that, When the form collection mode is selected, the supplier fills in the enterprise's predefined form template; When the model collection mode is selected, the supplier fills in the relevant data and matches the background data for the model unit process specified by the enterprise.

14. The method for collecting and distributing supply chain product data based on a cloud platform as described in claim 10, characterized in that, The generation of the life cycle impact assessment results specifically involves: Based on the product lifecycle model and data collected from the supply chain, a lifecycle impact assessment method and impact category are selected to conduct a product lifecycle impact assessment. Contribution analysis and sensitivity analysis are performed, and the results of the contribution analysis and sensitivity analysis are integrated as the lifecycle impact assessment result.

15. The method for collecting and distributing supply chain product data based on a cloud platform as described in claim 10, characterized in that, The process of generating the life cycle impact assessment results is achieved based on emission coefficients, characteristic factors, reference values, weighting factors, and preset formulas.

Images