Procurement evaluation and prediction method and device based on product carbon footprint

Abstract

The invention provides a procurement evaluation and prediction method and device based on a product carbon footprint, and relates to the technical field of carbon footprints, and the method comprises the steps: collecting basic data of a historical procurement product; after checking the basic data, establishing a product basic database; according to the product basic database, calculating the mass and carbon emission factors of each component raw material or consumable of each historically purchased product, the energy consumption amount and the energy carbon emission factors, and constructing a product carbon footprint accounting model for calculating the total carbon footprint amount of each historically purchased product; predicting a carbon footprint result of the currently purchased product; and comparing and analyzing the total carbon footprint amount of each historically purchased product and the carbon footprint result of the currently purchased product, and generating the carbon footprint evaluation of the currently purchased product. Therefore, by constructing the product carbon footprint accounting model and the product basic database, the total quantity of the product carbon footprints is used for carbon footprint evaluation, so that the carbon footprints of purchased products are reduced, and the carbon footprint condition of the products in the purchasing link is controlled in real time.

Description

Technical Field

[0001] The present invention relates to the technical field of carbon footprint, and in particular, to a procurement evaluation and prediction method, device, electronic device and storage medium based on the product carbon footprint. Background Art

[0002] The traditional procurement model mainly focuses on product price, quality and delivery timeliness. Nowadays, the environmental impact of products has become a key consideration factor. To build a green bidding and procurement system for materials and create a green supply chain for products, the carbon footprint factor has gradually been incorporated into the evaluation of procurement products. Therefore, a green procurement evaluation and prediction method based on the product carbon footprint is needed to help enterprises control the carbon footprint of products in the procurement process. Summary of the Invention

[0003] The present invention aims to solve at least one of the technical problems in the related art to some extent.

[0004] To this end, the first object of the present invention is to propose a procurement evaluation and prediction method based on the product carbon footprint. By constructing a product carbon footprint accounting model and a product basic database, the total product carbon footprint is used in the carbon footprint evaluation, thereby reducing the carbon footprint of procurement products and controlling the carbon footprint of products in the procurement process in real time.

[0005] The second object of the present invention is to propose a procurement evaluation and prediction device based on the product carbon footprint.

[0006] The third object of the present invention is to propose an electronic device.

[0007] The fourth object of the present invention is to propose a non-transitory computer-readable storage medium storing computer instructions.

[0008] To achieve the above object, the first aspect embodiment of the present invention proposes a procurement evaluation and prediction method based on the product carbon footprint, and the method includes:

[0009] Collect the basic data of historical procurement products, where the basic data includes product type, product model, product specification, product technical process route, product raw material and consumable usage, and product energy usage;

[0010] According to the industry standard value ranges corresponding to the basic data, obtain the standard product type, standard product model, standard product specification, standard product technical process route, standard product raw material and consumable usage, and standard product energy usage after auditing and verifying the basic data, so as to form a product basic database;

[0011] According to the product basic database, calculate the quality and carbon emission factors of the raw materials or consumables of each component of each historical purchased product, the amount of energy consumption and the carbon emission factors of the energy, so as to construct a product carbon footprint accounting model for calculating the total carbon footprint of each historical purchased product;

[0012] Predict the basic data of the current purchased product through the product carbon footprint accounting model to obtain the carbon footprint result of the current purchased product;

[0013] Conduct a comparative analysis on the total carbon footprint of each historical purchased product and the carbon footprint result of the current purchased product to generate a carbon footprint evaluation of the current purchased product.

[0014] To achieve the above object, an embodiment of the second aspect of the present invention proposes a procurement evaluation and prediction device based on product carbon footprint, and the device includes:

[0015] An acquisition module, configured to acquire the basic data of historical purchased products, where the basic data includes product types, product models, product specifications, product technical process routes, product raw material and consumable usage amounts, and product energy usage amounts;

[0016] A verification module, configured to obtain the standard product types, standard product models, standard product specifications, standard product technical process routes, standard product raw material and consumable usage amounts, and standard product energy usage amounts after auditing and verifying the basic data according to the industry standard value ranges corresponding to the basic data, so as to form a product basic database;

[0017] A construction module, configured to calculate the quality and carbon emission factors of the raw materials or consumables of each component of each historical purchased product, the amount of energy consumption and the carbon emission factors of the energy according to the product basic database, so as to construct a product carbon footprint accounting model for calculating the total carbon footprint of each historical purchased product;

[0018] A prediction module, configured to predict the basic data of the current purchased product through the product carbon footprint accounting model to obtain the carbon footprint result of the current purchased product;

[0019] A generation module, configured to conduct a comparative analysis on the total carbon footprint of each historical purchased product and the carbon footprint result of the current purchased product to generate a carbon footprint evaluation of the current purchased product.

[0020] To achieve the above object, an embodiment of the third aspect of the present invention proposes an electronic device, including: at least one processor; and a memory communicatively connected to the at least one processor; wherein, the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can execute the method described in the first aspect.

[0021] To achieve the above object, an embodiment of the fourth aspect of the present invention provides a non-transitory computer-readable storage medium storing computer instructions, which are used to cause the computer to execute the method described in the first aspect.

[0022] The procurement evaluation and prediction method, device, electronic device, and storage medium based on the product carbon footprint provided by the embodiments of the present invention collect the basic data of historical procurement products; after auditing and verifying the basic data, a product basic database is established; according to the product basic database, calculate the quality and carbon emission factors of each component raw material or consumable of each historical procurement product, the amount of energy consumption, and the carbon emission factors of energy, and construct a product carbon footprint accounting model for calculating the total carbon footprint of each historical procurement product; to predict the carbon footprint result of the current procurement product; compare and analyze the total carbon footprint of each historical procurement product and the carbon footprint result of the current procurement product, and generate a carbon footprint evaluation of the current procurement product. Thus, by constructing a product carbon footprint accounting model and a product basic database, the total product carbon footprint is used in the carbon footprint evaluation, thereby reducing the carbon footprint of procurement products and real-time controlling the product carbon footprint situation in the procurement link.

[0023] Additional aspects and advantages of the present invention will be given in part in the following description, become apparent in part from the following description, or be understood through the practice of the present invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] The above and / or additional aspects and advantages of the present invention will become apparent and be readily understood from the following description of the embodiments in conjunction with the drawings, where:

[0025] Figure 1 is a schematic flowchart of a procurement evaluation and prediction method based on the product carbon footprint provided by an embodiment of the present invention;

[0026] Figure 2 is an application flowchart of a procurement evaluation and prediction method based on the product carbon footprint provided by an embodiment of the present invention;

[0027] Figure 3 is a schematic structural diagram of a procurement evaluation and prediction device based on the product carbon footprint provided by an embodiment of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0028] The embodiments of the present invention will be described in detail below. The examples of the embodiments are shown in the drawings, where the same or similar reference numerals denote the same or similar elements or elements with the same or similar functions throughout. The embodiments described below with reference to the drawings are exemplary and are intended to explain the present invention and should not be construed as limiting the present invention.

[0029] Among them, it should be noted that the acquisition, storage, use, processing, etc. of data in the technical solution of the present invention all comply with the relevant regulations of relevant laws and regulations.

[0030] The following describes the procurement evaluation and prediction method, device, electronic device, and storage medium based on the product carbon footprint according to the embodiments of the present invention with reference to the accompanying drawings.

[0031] Figure 1 It is a schematic flowchart of a procurement evaluation and prediction method based on the product carbon footprint provided by an embodiment of the present invention.

[0032] As Figure 1 shown, the method includes the following steps:

[0033] Step 101, collect the basic data of historical procurement products, where the basic data includes product type, product model, product specification, product technical process route, product raw material and consumable usage, and product energy usage.

[0034] In some embodiments, when the historical procurement product is a household appliance, the basic data includes appliance type, appliance model, appliance specification, appliance technical process route, appliance raw material and consumable usage, and appliance energy usage.

[0035] Step 102, according to the industry standard value range corresponding to each basic data, obtain the standard product type, standard product model, standard product specification, standard product technical process route, standard product raw material and consumable usage, and standard product energy usage after auditing and verifying the basic data, so as to form a product basic database.

[0036] In some embodiments, the industry standard value range can be the industry average level corresponding to each basic data, but is not limited thereto.

[0037] Specifically, if the basic data does not meet the industry standard value range, it means that the basic data is abnormal and can be deleted; if the basic data meets the industry standard value range, the standard product type, standard product model, standard product specification, standard product technical process route, standard product raw material and consumable usage, and standard product energy usage are obtained to form a product basic database, so as to ensure and improve the accuracy and reliability of the product basic database.

[0038] Step 103, according to the product basic database, calculate the quality and carbon emission factor of each component raw material or consumable of each historical procurement product, the amount of energy consumption and the carbon emission factor of energy, so as to construct a product carbon footprint accounting model for calculating the total carbon footprint of each historical procurement product.

[0039] In some embodiments, according to the product basic database, calculating the mass and carbon emission factor of each component raw material or consumable of each historical purchased product, the amount of energy consumption and the carbon emission factor of the energy, an implementation manner of constructing a product carbon footprint accounting model for calculating the total carbon footprint of each historical purchased product can be: according to the product basic database, calculating the mass and carbon emission factor of each component raw material or consumable of each historical purchased product, the amount of energy consumption and the carbon emission factor of the energy, wherein the mass of the i-th raw material or consumable of the n-th component is M ni and the carbon emission factor is F ni , the amount of energy consumption of the j-th type in the n-th component is E nj and the carbon emission factor of the energy is F nj ; according to M ni , F ni , E nj , F nj , calculating the product carbon footprint CE n of the n-th component of each historical purchased product, and summing up the product carbon footprint CE n of the n-th component to obtain P CE , the total carbon footprint of each historical purchased product, P CE =∑CE n =∑(M ni ×F ni )+∑(E nj ×F nj ); taking the product basic database as the input and the total carbon footprint of each historical purchased product as the output, training a product carbon footprint accounting model to accurately measure the carbon footprint level of historical purchased products.

[0040] Among them, P CE is the total product carbon footprint (tons of carbon dioxide); CE n is the product carbon footprint of the n-th component (tons of carbon dioxide); M ni is the mass of the i-th raw material or consumable of the n-th component (tons); F ni is the carbon emission factor of the i-th raw material or consumable of the n-th component (tons of carbon dioxide / ton); E nj is the amount of the j-th type of energy consumption of the n-th component (energy measurement unit); F nj is the carbon emission factor of the j-th type of energy of the n-th component (carbon dioxide of energy measurement unit / energy measurement unit).

[0041] Step 104, predicting the basic data of the current purchased product through the product carbon footprint accounting model to obtain the carbon footprint result of the current purchased product.

[0042] In some embodiments, the carbon footprint result of the current purchased product can be used as the total carbon footprint of the current purchased product and stored in a preset product carbon footprint database for subsequent direct retrieval and use, so as to compare with the latest predicted carbon footprint result of the purchased product.

[0043] Step 105: Compare and analyze the total carbon footprint of each historical purchased product and the carbon footprint result of the current purchased product to generate a carbon footprint evaluation of the current purchased product.

[0044] In some embodiments, an implementation manner of comparing and analyzing the total carbon footprint of each historical purchased product and the carbon footprint result of the current purchased product to generate a carbon footprint evaluation of the current purchased product can be as follows: store the total carbon footprint of each historical purchased product in the product carbon footprint database, and retrieve the total carbon footprint of the purchased product of the same type corresponding to the current purchased product in the product carbon footprint database; generate a carbon footprint evaluation of the current purchased product according to the comparison and analysis result between the total carbon footprint of the purchased product of the same type and the carbon footprint result of the current purchased product, so as to achieve accurate prediction and evaluation of the total carbon footprint of the purchased product of the same type.

[0045] In addition, the present invention can also obtain carbon footprint evaluations of the current purchased product multiple times to analyze the carbon footprint change trend of the current purchased product; and based on the carbon footprint change trend, optimize the product carbon footprint accounting model of the current purchased product to predict the total carbon footprint of the current purchased product of the same type. Thereby reducing the carbon footprint of the purchased product and helping to predict the carbon footprint change trend of the same type of purchased product in the future.

[0046] The procurement evaluation and prediction method based on product carbon footprint according to the embodiment of the present invention collects the basic data of historical purchased products; after auditing and verifying the basic data, a product basic database is established; according to the product basic database, the quality and carbon emission factors of each component raw material or consumable of each historical purchased product, the amount of energy consumption and the carbon emission factors of the energy are calculated, and a product carbon footprint accounting model for calculating the total carbon footprint of each historical purchased product is constructed; the carbon footprint result of the current purchased product is predicted; the total carbon footprint of each historical purchased product and the carbon footprint result of the current purchased product are compared and analyzed to generate a carbon footprint evaluation of the current purchased product. Thus, by constructing a product carbon footprint accounting model and a product basic database, the total carbon footprint of the product is used in the carbon footprint evaluation, thereby reducing the carbon footprint of the purchased product and grasping the carbon footprint situation of the product in the procurement link in real time.

[0047] In summary, the present invention also proposes Figure 2The following is an application flowchart of a procurement evaluation and prediction method based on product carbon footprint provided by an embodiment of the present invention, including: procurement product data collection, data review and verification, calculating the carbon footprint result of the current procurement product using a product carbon footprint accounting model, forming an evaluation of the carbon footprint of the current procurement product, analyzing the carbon footprint change trend of the current procurement product based on the carbon footprint evaluations of multiple current procurement products, and optimizing the product carbon footprint accounting model of the current procurement product to predict the total carbon footprint of similar current procurement products.

[0048] Specifically, as Figure 2 shown, the procurement product data collection includes: collecting the basic data of historical procurement products; the data review and verification includes: obtaining the review and verification of the basic data according to the industry standard value range corresponding to each basic data, and storing the verified data in the product basic database as historical data that can be retrieved at any time for historical procurement product data collection; calculating the carbon footprint result of the current procurement product using a product carbon footprint accounting model includes: constructing a product carbon footprint accounting model for calculating the total carbon footprint of each historical procurement product based on the product basic database, and predicting the basic data of the current procurement product through the product carbon footprint accounting model to obtain the carbon footprint result of the current procurement product, and at the same time storing the carbon footprint result of the current procurement product in the product carbon footprint database for subsequent direct retrieval and use; forming an evaluation of the carbon footprint of the current procurement product includes: generating an evaluation of the carbon footprint of the current procurement product through comparative analysis of the total carbon footprint of each historical procurement product and the carbon footprint result of the current procurement product; finally, based on the carbon footprint evaluations of multiple current procurement products, analyzing the carbon footprint change trend of the current procurement product, optimizing the product carbon footprint accounting model of the current procurement product to predict the total carbon footprint of similar current procurement products, and helping enterprises control the carbon footprint situation of products in the procurement link.

[0049] To implement the above embodiment, the present invention also proposes a procurement evaluation and prediction device based on product carbon footprint.

[0050] Figure 3 The following is a structural schematic diagram of a procurement evaluation and prediction device based on product carbon footprint provided by an embodiment of the present invention.

[0051] As Figure 3 shown, the procurement evaluation and prediction device 30 based on product carbon footprint includes: a collection module 31, a verification module 32, a construction module 33, a prediction module 34, and a generation module 35.

[0052] The collection module 31 is used to collect the basic data of historical procurement products, where the basic data includes product type, product model, product specification, product technical process route, product raw material and consumable usage, and product energy usage;

[0053] The verification module 32 is used to obtain the standard product types, standard product models, standard product specifications, standard product technical process routes, standard product raw material and consumable usage amounts, and standard product energy usage amounts after auditing and verifying the basic data according to the industry standard value ranges corresponding to the respective basic data, so as to form a product basic database;

[0054] The construction module 33 is used to calculate the quality and carbon emission factors of the raw materials or consumables of each component of each historical purchased product and the amount of energy consumption and the carbon emission factors of the energy according to the product basic database, so as to construct a product carbon footprint accounting model for calculating the total carbon footprint of each historical purchased product;

[0055] The prediction module 34 is used to predict the basic data of the current purchased product through the product carbon footprint accounting model to obtain the carbon footprint result of the current purchased product;

[0056] The generation module 35 is used to perform a comparative analysis on the total carbon footprint of each historical purchased product and the carbon footprint result of the current purchased product, and generate a carbon footprint evaluation of the current purchased product.

[0057] Further, in a possible implementation manner of the embodiment of the present invention, the construction module 33 is specifically used for:

[0058] According to the product basic database, calculate the quality and carbon emission factors of the raw materials or consumables of each component of each historical purchased product and the amount of energy consumption and the carbon emission factors of the energy, wherein the mass of the i-th raw material or consumable of the n-th component is M ni and the carbon emission factor is F ni , the amount of energy consumption of the j-th energy in the n-th component is E nj and the carbon emission factor of the energy is F nj ;

[0059] According to the M ni , F ni , E nj , F nj , calculate the product carbon footprint CE of the n-th component of each historical purchased product n , and sum up the product carbon footprint CE of the n-th component n to obtain the total P of the carbon footprint of each historical purchased product CE , P CE =∑CE n =∑(M ni ×F ni )+∑(E nj ×F nj );

[0060] Use the product basic database as the input and the total carbon footprint of each historical purchased product as the output to train a product carbon footprint accounting model.

[0061] Further, in a possible implementation manner of the embodiment of the present invention, the generating module 35 is configured to:

[0062] Store the total carbon footprint of each historical purchased product into the product carbon footprint database, and call the total carbon footprint of the same type of purchased products corresponding to the current purchased product in the product carbon footprint database;

[0063] Generate a carbon footprint evaluation of the current purchased product according to the comparative analysis result between the total carbon footprint of the same type of purchased products and the carbon footprint result of the current purchased product.

[0064] Further, in a possible implementation manner of the embodiment of the present invention, the device further includes:

[0065] An analysis module, configured to obtain the carbon footprint evaluations of the current purchased product multiple times to analyze the carbon footprint change trend of the current purchased product;

[0066] An optimization module, configured to optimize the product carbon footprint accounting model of the current purchased product based on the carbon footprint change trend to predict the total carbon footprint of the same type of current purchased products.

[0067] It should be noted that the foregoing explanation of the method embodiment also applies to the device of this embodiment, and details are not described herein again.

[0068] The purchasing evaluation and prediction device based on product carbon footprint in the embodiment of the present invention collects the basic data of historical purchased products; after auditing and verifying the basic data, a product basic database is established; according to the product basic database, the quality and carbon emission factors of each component raw material or consumable of each historical purchased product, the amount of energy consumption and the carbon emission factors of energy are calculated, and a product carbon footprint accounting model for calculating the total carbon footprint of each historical purchased product is constructed; the carbon footprint result of the current purchased product is predicted; the total carbon footprint of each historical purchased product and the carbon footprint result of the current purchased product are compared and analyzed to generate a carbon footprint evaluation of the current purchased product. Thus, by constructing a product carbon footprint accounting model and a product basic database, the total product carbon footprint is used in the carbon footprint evaluation, thereby reducing the carbon footprint of the purchased product and controlling the product carbon footprint situation in the purchasing link in real time.

[0069] To implement the above embodiments, the present invention further provides an electronic device, including:

[0070] At least one processor; and

[0071] A memory communicatively connected to the at least one processor; wherein,

[0072] The memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to execute the foregoing method.

[0073] To implement the above embodiments, the present invention also provides a non-transitory computer-readable storage medium storing computer instructions for causing the computer to execute the foregoing method.

[0074] In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "example", "specific example", or "some examples", etc. means that the specific features, structures, materials, or characteristics described in connection with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials, or characteristics described may be combined in any one or more embodiments or examples in a suitable manner. In addition, without contradiction, those skilled in the art may combine and combine the different embodiments or examples described in this specification and the features of different embodiments or examples.

[0075] In addition, the terms "first" and "second" are only used for descriptive purposes and cannot be construed as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Thus, the features defined with "first" and "second" may explicitly or implicitly include at least one of the features. In the description of the present invention, "a plurality" means at least two, such as two, three, etc., unless otherwise specifically defined.

[0076] Any process or method description shown in a flowchart or described in other ways herein may be understood to represent a module, segment, or portion of code including one or more executable instructions for implementing a customized logic function or process, and the scope of the preferred embodiments of the present invention includes additional implementations, where the functions may be executed in a substantially simultaneous manner or in a reverse order according to the functions involved, rather than in the order shown or discussed, which should be understood by those skilled in the art to which the embodiments of the present invention pertain.

[0077] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as a definable list of executable instructions for implementing logical functions, and can be embodied specifically in any computer-readable medium for use by an instruction execution system, apparatus, or device (such as a computer-based system, a system including a processor, or other systems that can fetch and execute instructions from the instruction execution system, apparatus, or device), or in conjunction with these instruction execution systems, apparatus, or devices. For the purposes of this specification, a "computer-readable medium" can be any device that can contain, store, communicate, propagate, or transport a program for use by or in conjunction with an instruction execution system, apparatus, or device. More specific examples (a non-exhaustive list) of the computer-readable medium include the following: an electrical connection portion having one or more wirings (electronic device), a portable computer diskette (magnetic device), a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disc read-only memory (CDROM). Additionally, the computer-readable medium can even be paper or other suitable medium on which the program can be printed, because the program can be obtained electronically, for example, by optically scanning the paper or other medium, followed by editing, interpretation, or otherwise processing as appropriate, and then storing it in a computer memory.

[0078] It should be understood that the various parts of the present invention can be implemented by hardware, software, firmware, or a combination thereof. In the above embodiments, multiple steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, any one or a combination of the following techniques well known in the art can be used: discrete logic circuits having logic gate circuits for implementing logical functions on data signals, application specific integrated circuits having appropriate combinational logic gate circuits, programmable gate arrays (PGAs), field programmable gate arrays (FPGAs), etc.

[0079] Those of ordinary skill in the art of this technology can understand that all or part of the steps carried by the method of the above embodiments can be completed by a program instructing relevant hardware, and the program can be stored in a computer-readable storage medium. When the program is executed, it includes one or a combination of the steps of the method embodiments.

[0080] In addition, in each embodiment of the present invention, each functional unit can be integrated into a processing module, or each unit can exist physically alone, or two or more units can be integrated into one module. The above-mentioned integrated module can be implemented in the form of hardware or in the form of a software functional module. When the integrated module is implemented in the form of a software functional module and sold or used as an independent product, it can also be stored in a computer-readable storage medium.

[0081] The above-mentioned storage medium can be a read-only memory, a magnetic disk, an optical disc, etc. Although the embodiments of the present invention have been shown and described above, it can be understood that the above embodiments are exemplary and should not be construed as limiting the present invention. Those of ordinary skill in the art can make changes, modifications, substitutions, and variations to the above embodiments within the scope of the present invention.

Claims

1. A procurement evaluation and prediction method based on product carbon footprint, characterized in that: The method comprises: Collect basic data of historically purchased products, including product types, product models, product specifications, product technical process routes, product raw materials and consumables usage, and product energy usage; According to the industry standard value range corresponding to each basic data, obtain the standard product types, standard product models, standard product specifications, standard product technical process routes, standard product raw materials and consumables usage, and standard product energy usage after reviewing and verifying the basic data, so as to establish a product basic database; Based on the product basic database, calculate the quality and carbon emission factor of each component raw material or consumable of each historically purchased product, the amount of energy consumption and the carbon emission factor of energy, so as to build a product carbon footprint accounting model to calculate the total carbon footprint of each historically purchased product; Use the product carbon footprint calculation model to predict the basic data of the current purchased products to obtain the carbon footprint results of the current purchased products; Compare and analyze the total carbon footprint of each historically purchased product and the carbon footprint results of the currently purchased products to generate a carbon footprint evaluation of the currently purchased products.

2. The method according to claim 1, characterized in that The product basic database is used to calculate the quality of raw materials and consumables of each component of each historically purchased product or the carbon emission factor of the consumables, the amount of energy consumption and the carbon emission factor of energy, so as to construct a product carbon footprint accounting model for calculating the total carbon footprint of each historically purchased product, including: According to the product basic database, the quality and carbon emission factor of raw materials or consumables of each component of each historically purchased product, the amount of energy consumption and the carbon emission factor of energy are calculated. Among them, the quality of the i-th raw material or consumable of the n-th component is M ni and the carbon emission factor is F ni , the energy consumption of the jth component in the nth component is E nj The carbon emission factor of energy is F nj ; According to the M ni 、F ni 、E nj 、F nj , calculate the product carbon footprint CE of the nth component of each historically purchased product n , and the product carbon footprint CE of the nth component n Sum up to get the total carbon footprint of each historical purchased product P CE , P CE =∑CE n =∑(M ni ×F ni )+∑(E nj ×F nj ); The product basic database is used as input and the total carbon footprint of each historically purchased product is used as output to train a product carbon footprint accounting model.

3. The method according to claim 1, characterized in that The carbon footprint evaluation of the currently purchased products is generated by comparing and analyzing the total carbon footprint of each historically purchased product with the carbon footprint results of the currently purchased product, including: The total carbon footprint of each historically purchased product is stored in a product carbon footprint database, and the total carbon footprint of the same type of purchased product corresponding to the current purchased product is called from the product carbon footprint database; Based on the comparative analysis results between the total carbon footprint of similar purchased products and the carbon footprint results of the currently purchased products, a carbon footprint evaluation of the currently purchased products is generated.

4. The method according to claim 3, characterized in that The method further comprises: Obtain multiple carbon footprint evaluations of currently purchased products to analyze the carbon footprint change trend of currently purchased products; Based on the carbon footprint change trend, the product carbon footprint accounting model of the currently purchased products is optimized to predict the total carbon footprint of similar currently purchased products.

5. A purchasing evaluation and prediction device based on product carbon footprint, characterized in that: The device comprises: The collection module is used to collect basic data of historically purchased products, including product types, product models, product specifications, product technical process routes, product raw materials and consumables usage, and product energy usage; The verification module is used to obtain the standard product types, standard product models, standard product specifications, standard product technical process routes, standard product raw materials and consumables usage, and standard product energy usage after reviewing and verifying the basic data according to the industry standard value range corresponding to each basic data, so as to establish a product basic database; A construction module is used to calculate the quality and carbon emission factor of each component raw material or consumable of each historically purchased product, the amount of energy consumption and the carbon emission factor of energy based on the product basic database, so as to construct a product carbon footprint accounting model for calculating the total carbon footprint of each historically purchased product; The prediction module is used to predict the basic data of the current purchased products through the product carbon footprint accounting model to obtain the carbon footprint results of the current purchased products; The generation module is used to compare and analyze the total carbon footprint of each historically purchased product and the carbon footprint results of the currently purchased product, and generate a carbon footprint evaluation of the currently purchased product.

6. The device according to claim 5, characterized in that The building blocks are specifically used for: According to the product basic database, the quality and carbon emission factor of raw materials or consumables of each component of each historically purchased product, the amount of energy consumption and the carbon emission factor of energy are calculated. Among them, the quality of the i-th raw material or consumable of the n-th component is M ni and the carbon emission factor is F ni , the energy consumption of the jth component in the nth component is E nj The carbon emission factor of energy is F nj ; According to the M ni 、F ni 、E nj 、F nj , calculate the product carbon footprint CE of the nth component of each historically purchased product n , and the product carbon footprint CE of the nth component n Sum up to get the total carbon footprint of each historical purchased product P CE , P CE =ΣCE n =Σ(M ni ×F ni )+Σ(E nj ×F nj ); The product basic database is used as input and the total carbon footprint of each historically purchased product is used as output to train a product carbon footprint accounting model.

7. The device according to claim 5, characterized in that The generating module is used for: The total carbon footprint of each historically purchased product is stored in a product carbon footprint database, and the total carbon footprint of the same type of purchased product corresponding to the current purchased product is called from the product carbon footprint database; Based on the comparative analysis results between the total carbon footprint of similar purchased products and the carbon footprint results of the currently purchased products, a carbon footprint evaluation of the currently purchased products is generated.

8. The device according to claim 7, characterized in that The device further comprises: The analysis module is used to obtain multiple carbon footprint evaluations of currently purchased products to analyze the carbon footprint change trend of currently purchased products; The optimization module is used to optimize the product carbon footprint calculation model of the currently purchased product based on the carbon footprint change trend, so as to predict the total carbon footprint of similar currently purchased products.

9. An electronic device, characterized in that: include: at least one processor; as well as a memory communicatively connected to the at least one processor; wherein, The memory stores instructions that can be executed by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to perform the method according to any one of claims 1 to 4.

10. A non-transitory computer-readable storage medium storing computer instructions, characterized in that: The computer instructions are used to cause the computer to execute the method according to any one of claims 1-4.

Images