CN116167552B

CN116167552B - Method, device, equipment and medium for determining carbon footprint based on industrial Internet

Info

Publication number: CN116167552B
Application number: CN202310457859.4A
Authority: CN
Inventors: 李胡升; 池程; 刘阳; 马宝罗
Original assignee: China Academy of Information and Communications Technology CAICT
Current assignee: China Academy of Information and Communications Technology CAICT
Priority date: 2023-04-25
Filing date: 2023-04-25
Publication date: 2023-07-14
Anticipated expiration: 2043-04-25
Also published as: CN116167552A

Abstract

The embodiment of the disclosure discloses a method, a device, equipment and a medium for determining carbon footprint based on industrial Internet, wherein the method comprises the following steps: determining whether the target product meets a first preset carbon footprint generation condition; when the identification analysis system of the industrial Internet is satisfied, carrying out identification analysis on the carbon data identification corresponding to the stage with the carbon data to obtain a first carbon data set of the target product; determining a first product carbon footprint of the target product according to the first carbon data set and a preset carbon footprint model; when the target product does not meet the first preset carbon footprint generation condition, determining whether the target product meets the second preset carbon footprint generation condition according to the stage of the target product with carbon data; when the identification analysis system is satisfied, the identification analysis is carried out on the carbon data identification of the stage with the carbon data by utilizing the identification analysis system of the industrial Internet, so as to obtain a second carbon data set of the target product; and determining a second product carbon footprint of the target product according to the second carbon data set and the preset carbon footprint model.

Description

Method, device, equipment and medium for determining carbon footprint based on industrial Internet

Technical Field

The present disclosure relates to industrial internet technology, and in particular, to a method, apparatus, device, and medium for determining a carbon footprint based on industrial internet.

Background

With the continuous enhancement of the awareness of industrial environmental protection, the demand for related data of the carbon footprint of products is also becoming more and more widespread. The carbon footprint (Product Carbon Footprint) of a product refers to the sum of the amount of greenhouse gas emissions and the amount of greenhouse gas removal produced at each stage along the entire life cycle of the product. The carbon footprint of a product is related to the carbon data generated at each stage in the product lifecycle. However, each stage of the product is generally responsible for different enterprises or manufacturers, so that the carbon data of the product is scattered, and the difficulty of obtaining all the data required by the carbon footprint of the product is great, so that the difficulty of determining the carbon footprint of the product is caused.

Disclosure of Invention

The embodiment of the disclosure provides a carbon footprint determining method, device, equipment and medium based on industrial Internet, so as to solve the technical problems.

In one aspect of the disclosed embodiments, a method for determining a carbon footprint based on the industrial internet is provided, including: determining whether a target product meets a first preset carbon footprint generation condition according to a stage with carbon data in a life cycle of the target product; responding to the target product meeting the first preset carbon footprint generation condition, and carrying out identification analysis on the carbon data identification corresponding to the stage with the carbon data by using an identification analysis system of the industrial Internet to obtain a first carbon data set of the target product; determining the carbon footprint of the target product according to the first carbon data set and a preset carbon footprint model to obtain a first product carbon footprint; determining whether the target product meets a second preset carbon footprint generation condition according to the stage of the target product with carbon data in response to the target product not meeting the first preset carbon footprint generation condition; responding to the target product meeting the second preset carbon footprint generation condition, and carrying out identification analysis on the carbon data identification of the stage with the carbon data by utilizing an identification analysis system of the industrial Internet to obtain a second carbon data set of the target product; and determining the carbon footprint of the target product according to the second carbon data set and the preset carbon footprint model to obtain a second product carbon footprint.

Optionally, in the method of any one of the foregoing embodiments of the present disclosure, the determining, according to the stage having carbon data in the life cycle of the target product, whether the target product meets the first preset carbon footprint generation condition includes: determining whether the phases of the target product having carbon data include all phases in a lifecycle of the target product, wherein the lifecycle includes: a raw material stage, a production and manufacturing stage, a transportation stage, a use stage and a recovery stage; in response to the stages of the target product having carbon data including all stages in the lifecycle, determining that the target product meets the first preset carbon footprint generation condition.

Optionally, in a method of any one of the above embodiments of the present disclosure, determining, according to the first carbon data set and a preset carbon footprint model, a carbon footprint of the target product, to obtain a first product carbon footprint includes: determining, from the first carbon dataset, a carbon footprint of the raw material stage, a carbon footprint of the production manufacturing stage, a carbon footprint of the transportation stage, a carbon footprint of the usage stage, and a carbon footprint of the recovery stage; and obtaining the first product carbon footprint by utilizing the preset carbon footprint model according to the carbon footprints of the raw material stage, the carbon footprint of the production and manufacturing stage, the carbon footprint of the transportation stage, the carbon footprint of the use stage and the carbon footprint of the recovery stage.

Optionally, in the method of any of the above embodiments of the disclosure, the determining, from the first carbon dataset, a carbon footprint of the raw material stage, a carbon footprint of the production manufacturing stage, a carbon footprint of the transportation stage, a carbon footprint of the usage stage, and a carbon footprint of the recovery stage includes: determining the carbon footprint of the raw material stage by utilizing the preset carbon footprint model according to the quality of each component in each raw material of the target product in the first carbon data set and the recovery rate of each component in each raw material; or determining the carbon footprint of the raw material stage by utilizing the preset carbon footprint model according to the carbon footprint of each raw material of the target product in the first carbon data set and the recovery rate of each raw material; determining the carbon footprint of the production and manufacturing stage by utilizing the preset carbon footprint model according to the waste amount generated in the production process of the target product and the energy consumed in the production process in the first carbon data set; determining the carbon footprint of the transportation stage by utilizing the preset carbon footprint model according to the transportation mode and the transportation distance of the target product in the first carbon data set; determining the carbon footprint of the using stage according to the electric power, the running time and the greenhouse gas generation rate of the target product in the first carbon data set in a preset running state; and determining the carbon footprint of the recovery stage according to the amount of waste generated by recovering and processing the target product in the first carbon data set and the amount of energy consumed by recovering and processing the target product.

Optionally, in the method of any one of the foregoing embodiments of the present disclosure, the determining, according to the stage in which the target product has carbon data, whether the target product meets a second preset carbon footprint generation condition includes: in response to the target product having carbon data at least including a raw material stage, a production manufacturing stage, and a usage stage, determining that the target product meets the second preset carbon footprint generation condition.

Optionally, in a method of any one of the above embodiments of the present disclosure, determining, according to the second carbon data set and the preset carbon footprint model, a carbon footprint of the target product, to obtain a second product carbon footprint includes: determining a carbon footprint of the raw material stage, a carbon footprint of the production manufacturing stage, and a carbon footprint of the use stage from the second carbon dataset; and obtaining the second product carbon footprint by utilizing the preset carbon footprint model based on the carbon footprint of the raw material stage, the carbon footprint of the production and manufacturing stage and the carbon footprint of the using stage.

Optionally, in the method of any one of the foregoing embodiments of the present disclosure, determining, according to the first carbon data set and a preset carbon footprint model, a carbon footprint of the target product, after obtaining a first product carbon footprint, further includes: determining a first carbon footprint report of the target product, wherein the first carbon footprint report comprises: the first product carbon footprint, the carbon footprint of a raw material stage, the carbon footprint of a production manufacturing stage, the carbon footprint of a transportation stage, the carbon footprint of a use stage, the carbon footprint of a recovery stage, the carbon data identification corresponding to the stage with carbon data, and the identification of the first product carbon footprint; determining the carbon footprint of the target product according to the second carbon data set and the preset carbon footprint model, and after obtaining the carbon footprint of the second product, further comprising: determining a second carbon footprint report of the target product, wherein the second carbon footprint report comprises: the second product carbon footprint, the carbon footprint of the raw material stage, the carbon footprint of the production manufacturing stage, the carbon footprint of the use stage, the identification of the second product carbon footprint, the identification of the carbon data corresponding to the stage with the carbon data, the identification of the second product carbon footprint, and the stage without the carbon data in the target product life cycle.

In another aspect of an embodiment of the present disclosure, there is provided an industrial internet-based carbon footprint determining apparatus, including: the first judging module is used for determining whether the target product meets a first preset carbon footprint generating condition according to the stage with carbon data in the life cycle of the target product; the first analysis module is used for responding to the condition that the target product meets the first preset carbon footprint generation condition, and performing identification analysis on the carbon data identification corresponding to the stage with the carbon data by using an identification analysis system of the industrial Internet to obtain first carbon data of the target product; the first determining module is used for determining the carbon footprint of the target product according to the first carbon data set and a preset carbon footprint model to obtain a first product carbon footprint; the second judging module is used for determining whether the target product meets a second preset carbon footprint generating condition according to the stage that the target product has carbon data in response to the target product not meeting the first preset carbon footprint generating condition; the second analysis module is used for responding to the target product meeting the second preset carbon footprint generation condition, and carrying out identification analysis on the carbon data identification of the stage with the carbon data by utilizing the identification analysis system of the industrial Internet to obtain a second carbon data set of the target product; and the second determining module is used for determining the carbon footprint of the target product according to the second carbon data set and the preset carbon footprint model to obtain a second product carbon footprint.

In yet another aspect of the disclosed embodiments, there is provided an electronic device including: a memory for storing a computer program; and the processor is used for executing the computer program stored in the memory, and when the computer program is executed, the carbon footprint determining method based on the industrial Internet is realized.

In yet another aspect of the disclosed embodiments, a computer-readable storage medium is provided, on which a computer program is stored which, when executed by a processor, implements the above-described industrial internet-based carbon footprint determination method.

The carbon footprint determination method, device, equipment and medium based on the industrial Internet in the embodiment of the disclosure comprise the following steps: on the premise that the stage of the target product with the carbon data has the carbon data of the key stage required for generating the carbon footprint, the corresponding carbon footprint is generated according to the stage of the target product with the carbon data, so that the generation efficiency of the carbon footprint and the flexibility of the carbon footprint are improved. In addition, in the embodiment of the disclosure, the carbon data of the target product is integrated into the industrial Internet, so that a user can obtain the carbon data of the target product through an identification analysis system of the industrial Internet, and the problem that the carbon footprint of the target product is difficult to determine due to difficult summary of the carbon data dispersion of the target product is solved.

The technical scheme of the present disclosure is described in further detail below through the accompanying drawings and examples.

Drawings

The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments of the disclosure and together with the description, serve to explain the principles of the disclosure.

The disclosure may be more clearly understood from the following detailed description taken in conjunction with the accompanying drawings in which:

FIG. 1 illustrates a flow chart of one embodiment of an industrial Internet-based carbon footprint determination method of an embodiment of the present disclosure;

fig. 2 shows a flow diagram of step S110 of an embodiment of the present disclosure;

fig. 3 shows a flow diagram of step S130 of an embodiment of the present disclosure;

fig. 4 shows a flow diagram of step S150 of an embodiment of the present disclosure;

FIG. 5 illustrates an application scenario diagram of an industrial Internet-based carbon footprint determination method according to an embodiment of the present disclosure;

FIG. 6 is a schematic diagram of a structure of one embodiment of an industrial Internet-based carbon footprint determination device according to an embodiment of the present disclosure;

fig. 7 is a schematic structural diagram of an application embodiment of the electronic device of the present disclosure.

Detailed Description

Various exemplary embodiments of the present disclosure will now be described in detail with reference to the accompanying drawings. It should be noted that: the relative arrangement of the components and steps, numerical expressions and numerical values set forth in these embodiments do not limit the scope of the present disclosure unless it is specifically stated otherwise.

It will be appreciated by those of skill in the art that the terms "first," "second," etc. in embodiments of the present disclosure are used merely to distinguish between different steps, devices or modules, etc., and do not represent any particular technical meaning nor necessarily logical order between them.

It should also be understood that in embodiments of the present disclosure, "plurality" may refer to two or more, and "at least one" may refer to one, two or more.

It should also be appreciated that any component, data, or structure referred to in the presently disclosed embodiments may be generally understood as one or more without explicit limitation or the contrary in the context.

In addition, the term "and/or" in this disclosure is merely an association relationship describing an association object, and indicates that three relationships may exist, for example, a and/or B may indicate: a exists alone, A and B exist together, and B exists alone. In addition, the character "/" in the present disclosure generally indicates that the front and rear association objects are an or relationship.

It should also be understood that the description of the various embodiments of the present disclosure emphasizes the differences between the various embodiments, and that the same or similar features may be referred to each other, and for brevity, will not be described in detail.

Meanwhile, it should be understood that the sizes of the respective parts shown in the drawings are not drawn in actual scale for convenience of description.

The following description of at least one exemplary embodiment is merely illustrative in nature and is in no way intended to limit the disclosure, its application, or uses.

Techniques, methods, and apparatus known to one of ordinary skill in the relevant art may not be discussed in detail, but are intended to be part of the specification where appropriate.

It should be noted that: like reference numerals and letters denote like items in the following figures, and thus once an item is defined in one figure, no further discussion thereof is necessary in subsequent figures.

Embodiments of the present disclosure may be applicable to electronic devices such as terminal devices, computer systems, servers, etc., which may operate with numerous other general purpose or special purpose computing system environments or configurations. Examples of well known terminal devices, computing systems, environments, and/or configurations that may be suitable for use with the terminal device, computer system, server, or other electronic device include, but are not limited to: personal computer systems, server computer systems, thin clients, thick clients, hand-held or laptop devices, microprocessor-based systems, set-top boxes, programmable consumer electronics, network personal computers, small computer systems, mainframe computer systems, and distributed cloud computing technology environments that include any of the foregoing, and the like.

Electronic devices such as terminal devices, computer systems, servers, etc. may be described in the general context of computer system-executable instructions, such as program modules, being executed by a computer system. Generally, program modules may include routines, programs, objects, components, logic, data structures, etc., that perform particular tasks or implement particular abstract data types. The computer system/server may be implemented in a distributed cloud computing environment in which tasks are performed by remote processing devices that are linked through a communications network. In a distributed cloud computing environment, program modules may be located in both local and remote computing system storage media including memory storage devices.

The industrial internet (Industrial Internet) is a novel infrastructure, application mode and industrial ecology which are deeply fused with the new generation information communication technology and industrial economy, and a brand new manufacturing and service system which covers the whole industrial chain and the whole value chain is constructed by comprehensively connecting people, machines, objects, systems and the like. The industrial Internet identification analysis system is a basic system of the industrial Internet. The industrial Internet identification analysis system mainly comprises an identification distribution management system and an identification analysis system, wherein the identification in the industrial Internet is an identification card of a machine and a product, has uniqueness and is managed in a layered mode of gradual distribution. The identity resolution system uses the identity to locate and query the machine and the item. The industrial internet identification resolution system may include: international root node, national top level node, secondary identification resolution node, enterprise node, public recursive resolution node, other/enterprise information system.

International root node: it means that the highest-level service node managed by a certain identification system is not limited to a specific country or region, but provides public root zone data management and root analysis service to the global scope. National top level node: the key of the industrial Internet identification analysis system in China is an international gateway for external interconnection and a core hub for internal overall planning. The system can provide management capabilities of top-level identification code registration and identification analysis service for nationwide range, such as identification record, identification authentication and the like. The national top level node is communicated with the international root nodes of various identification systems and is communicated with various secondary and following other identification analysis service nodes in China. Secondary identity resolution node: the identification analysis public service node in the industry or the area can provide identification code registration and identification analysis service for the industry or the area, and complete related identification service management, identification application docking and the like. Each secondary node is assigned a unique secondary node identification prefix by the top level node of the country. Enterprise node: the identification analysis service node in the enterprise can provide identification code registration and identification analysis service for specific enterprises. The system can be deployed independently or used as a constituent element of an enterprise information system. Each enterprise node is assigned a unique enterprise node identification prefix by the secondary node, the content of the identification suffix is defined and assigned by the enterprise, and the enterprise node identification prefix plus the identification suffix form a complete industrial internet identification. Public recursive resolution node: the method is a key entry facility for providing the identification analysis service to the outside by the identification analysis system, receives an identification inquiry request of an external client, finds enterprise nodes in the identification analysis system in a stepwise recursion mode, and acquires detailed information of the identification. Other/enterprise information systems: refers to industrial Internet Application (APP) and industrial Internet platform which are widely used in industrial scenes by means of the identification capability of an industrial Internet identification analysis system, processing data and business logic.

Specifically, the basic flow of identification and analysis of the industrial internet identification:

step (1): the identification analysis client sends an identification analysis request to the recursion node;

step (2): the recursion node checks the local cache, signs the identification analysis request when no cache result exists, and sends the national top node;

step (3): the national top node performs verification on the signed identification analysis request, verifies the authenticity of the recursive node and the integrity of the message, and feeds back the recursive node after the verification is passed after signing the secondary node analysis record information, wherein the secondary node analysis record information comprises a secondary node analysis address;

step (4): the recursion node verifies the signed second-level node analysis record information, verifies the authenticity of the top-level node of the country and the integrity of the second-level node analysis record information, signs the identification analysis request after verification, and sends the signed identification analysis request to the second-level node according to the second-level node analysis address;

step (5): the second-level node performs verification on the signed identification analysis request, verifies the authenticity of the recursive node and the integrity of the identification analysis request message, and after verification, signs enterprise node analysis record information, which includes enterprise node analysis addresses, and feeds back the enterprise node analysis record information to the recursive node;

Step (6): the recursive node verifies the signature, verifies the authenticity of the enterprise node and the integrity of the enterprise node analysis record information, signs the identification analysis request after verification, and sends the signed identification analysis request to the enterprise node according to the enterprise node analysis address;

step (7): the enterprise node checks the authenticity of the recursion node and the integrity of the identification analysis request, after the verification is passed, the analysis result is signed and then fed back to the recursion node, and the analysis result comprises the identification analysis service address;

step (8): checking signature by the recursion node, checking the reality of the enterprise node, the integrity and the reality validity of the analysis result, caching the analysis result after the verification is passed, and feeding the analysis result back to the identification analysis client;

step (9): the method comprises the steps that an identification analysis client sends a query request to an enterprise information system, wherein the query request comprises an identification analysis service address and an identification to be queried;

step (10): and the enterprise information system returns the identification object information to be queried to the identification analysis client.

FIG. 1 illustrates a flow diagram of an industrial Internet-based carbon footprint determination method in an embodiment of the present disclosure. The embodiment can be applied to an electronic device, as shown in fig. 1, and the carbon footprint determining method based on the industrial internet of the embodiment includes the following steps:

Step S110, determining whether the target product meets a first preset carbon footprint generation condition according to the stage with the carbon data in the life cycle of the target product.

The target product can be any product. For example, the target product may be a printer, clothing, food, etc. The lifecycle of the target product may include all stages from the generation to the final discarding of the target product. Illustratively, the lifecycle of the target product includes: raw material stage, production and manufacturing stage, transportation stage and use stage. The carbon data is relevant data for generating a carbon footprint. The carbon data of any stage in the life cycle of the target product is the relevant data generated by the target product at the stage for generating the carbon footprint. The stages of the target product having carbon data may be a plurality of stages including in the life cycle of the target product.

The first preset carbon footprint generation condition may include: a stage with carbon data is required. Illustratively, the stage of the first preset carbon footprint generation condition requiring having carbon data includes: the raw material stage, the production and manufacturing stage, the transportation stage and the use stage, when the target product has carbon data, the stages include: the method comprises a raw material stage, a production and manufacturing stage, a transportation stage and a use stage, and then the target product is determined to meet a first preset carbon footprint generation condition. In one embodiment, a plurality of first preset carbon footprint generation conditions may be preset according to classifications of target products, each first preset carbon footprint generation condition corresponds to one classification, and the target products may use the first preset carbon footprint generation conditions of the same classification as the first preset carbon footprint generation conditions for judging the target products.

In one embodiment, the carbon data identifier corresponding to the product identifier may be determined according to the product identifier of the target product, the carbon data identifier corresponding to the product identifier is referred to as a target carbon data identifier, and the stage in the life cycle of the target product corresponding to the target carbon data identifier is determined as the stage in which the target product has carbon data. Wherein the product identifier is used to uniquely identify the target product, and each carbon data identifier is used to uniquely identify carbon data of a stage in the life cycle of the target product. For example, when the carbon data identifier corresponding to the product identifier is the carbon data identifier of the carbon data of the production manufacturing stage, the production manufacturing stage of the target product is determined to be the stage with the carbon data.

And step S120, in response to the target product meeting the first preset carbon footprint generation condition, carrying out identification analysis on the carbon data identification corresponding to the stage with the carbon data by using an identification analysis system of the industrial Internet to obtain a first carbon data set of the target product.

Wherein the first carbon dataset comprises: and when the target product meets the first preset carbon footprint generation condition, the target product has carbon data of each stage in the stages of the carbon data. For example, the stages of the target product having carbon data include: the raw material stage, the production manufacturing stage, the transportation stage, and the usage stage, then the first carbon data set comprises: carbon data of a raw material stage of a target product, carbon data of a production manufacturing stage, carbon data of a transportation stage, and carbon data of a use stage.

The carbon data identifier is an industrial internet identifier. Illustratively, the industrial internet identification may be in the form of: x is X ₁ …X _n .Y ₁ Y ₂ Y ₃ .Z ₁ …Z _n / A ₁ A ₂ .B ₁ … B ₆ .C ₁ …C ₄ . Wherein X is ₁ …X _n .Y ₁ Y ₂ Y ₃ .Z ₁ …Z _n An identification prefix A for industrial Internet identification ₁ A ₂ .B ₁ … B ₆ .C ₁ …C ₄ Identification suffix X for industrial Internet identification ₁ …X _n For the country code, Y ₁ Y ₂ Y ₃ For industry code, Z ₁ …Z _n For enterprise code, A ₁ A ₂ For class code, B ₁ … B ₆ Classifying codes as the basis, C ₁ …C ₄ Is a sequential code. The carbon data identification of the carbon data at any stage in the life cycle of the target product corresponds to that stage. For example, the carbon data identification of the carbon data of the usage stage is the carbon data identification corresponding to the usage stage.

In one embodiment, for any stage in the life cycle of the target product, the executor of the stage may request the industrial internet identifier for identifying the carbon data of the stage from the industrial internet identifier allocation management system, and use the industrial internet identifier as the carbon data identifier of the carbon data of the stage, and meanwhile, the carbon data of the stage is accessed into the industrial internet, so that the carbon data identifier of the carbon data of the stage may be parsed by the identifier parsing system of the industrial internet, so as to obtain the carbon data of the stage, where the executor may be an enterprise or an individual.

In one embodiment, the carbon data identifier is sent to an identifier analysis system of the industrial internet, and the identifier analysis system of the industrial internet analyzes the carbon data identifier and feeds back carbon data identified by the carbon data identifier obtained by analysis.

Step S130, determining the carbon footprint of the target product according to the first carbon data set and a preset carbon footprint model, and obtaining the carbon footprint of the first product.

The preset carbon footprint model may be any carbon footprint calculation model. And the carbon footprint corresponding to the target product when the first preset carbon footprint generation condition is met is called as the first product carbon footprint of the target product.

In one embodiment, a preset carbon footprint model may be preset according to the carbon emission factor and the carbon footprint calculation formula, and the preset carbon footprint model may include: a plurality of carbon emission factors, a plurality of carbon footprint calculation formulas, and the like. And calling a corresponding carbon footprint formula in a preset carbon footprint model according to the carbon data of each stage and the carbon emission factors corresponding to the carbon data of each stage included in the first carbon data set to obtain carbon footprints of each stage, and adding the carbon footprints of each stage to obtain the carbon footprint of the first product.

The carbon footprint of a product refers to the sum of greenhouse gas emissions and greenhouse gas removal produced at various stages along the entire life cycle of the product, i.e., the sum of greenhouse gas emissions and greenhouse gas removal produced from the raw materials from mining, manufacturing, transportation, distribution, use, etc. to the final disposal stage, expressed in carbon dioxide equivalents, and based on life cycle assessment using climate change single impact categories, units (kg or carbon dioxide equivalents/functional units).

In step S140, in response to the target product not meeting the first preset carbon footprint generation condition, it is determined whether the target product meets the second preset carbon footprint generation condition according to the stage in which the target product has carbon data.

Wherein the second preset carbon footprint generation condition may include: a stage with carbon data is required. Illustratively, the stage of the second preset carbon footprint generation condition requiring carbon data includes: the raw material stage, the production and manufacturing stage and the use stage, when the target product has carbon data, the stages include: and determining that the target product meets the second preset carbon footprint generation condition in the raw material stage, the production and manufacturing stage and the use stage.

In one embodiment, a plurality of second preset carbon footprint generation conditions may be preset according to the classification of the target product, each of the second preset carbon footprint generation conditions corresponds to one classification, and the target product may use the second preset carbon footprint generation condition of the same classification as the second preset carbon footprint generation condition for judging the target product.

It should be noted that there is no execution sequence between the step S130 and the step S140.

And step S150, in response to the target product meeting the second preset carbon footprint generation condition, carrying out identification analysis on the carbon data identification of the stage with the carbon data by using an identification analysis system of the industrial Internet to obtain a second carbon data set of the target product.

Wherein the second carbon dataset comprises: when the target product meets the second preset carbon footprint generation condition,

the target product has carbon data for each of the stages of carbon data. For example, the stages of the target product having carbon data include: the raw material stage, the production manufacturing stage, and the usage stage, then the second carbon data set includes: carbon data of a raw material stage, carbon data of a production manufacturing stage, and carbon data of a use stage of a target product.

And step S160, determining the carbon footprint of the target product according to the second carbon data set and a preset carbon footprint model, and obtaining the carbon footprint of the second product.

And the carbon footprint corresponding to the target product when the first preset carbon footprint generation condition is not met but the second preset carbon footprint generation condition is met is called a second product carbon footprint of the target product.

In one embodiment, according to the carbon data of each stage and the carbon emission factor corresponding to the carbon data of each stage included in the second carbon data set, a corresponding carbon footprint formula in a preset carbon footprint model is called to obtain carbon footprints of each stage, and the carbon footprints of each stage are added to obtain the carbon footprint of the second product.

In the embodiment of the disclosure, on the premise that the stage of the target product with the carbon data has the carbon data of the key stage required for generating the carbon footprint, the corresponding carbon footprint is generated according to the stage of the target product with the carbon data, so that the generation efficiency of the carbon footprint and the flexibility of generating the carbon footprint are improved. In addition, in the embodiment of the disclosure, the carbon data of the target product is integrated into the industrial Internet, so that a user can obtain the carbon data of the target product through an identification analysis system of the industrial Internet, and the problem that the carbon footprint of the target product is difficult to determine due to difficult summary of the carbon data dispersion of the target product is solved.

In an alternative embodiment, as shown in fig. 2, step S110 in the embodiment of the present disclosure further includes the following steps:

step S111, determining whether the stage of the target product having carbon data includes all stages in the life cycle of the target product.

Wherein, the life cycle of the target product comprises: a raw material stage, a production and manufacturing stage, a transportation stage, a use stage and a recovery stage.

In one embodiment, the first preset carbon footprint generation condition is that the stage requiring carbon data is all stages in the life cycle of the target product, i.e., the first preset carbon footprint generation condition is that the stage requiring carbon data includes: a raw material stage, a production and manufacturing stage, a transportation stage, a use stage and a recovery stage.

In step S112, in response to the stages of the target product having carbon data including all stages in the lifecycle, it is determined that the target product meets the first preset carbon footprint generation condition.

And when the stage of the target product with the carbon data comprises a raw material stage, a production and manufacturing stage, a transportation stage, a use stage and a recovery stage of the target product, determining that the target product meets the first preset carbon footprint generation condition, otherwise, determining that the target product does not meet the first preset carbon footprint generation condition.

In an alternative embodiment, as shown in fig. 3, step S130 in the embodiment of the present disclosure further includes the following steps:

step S131, determining the carbon footprint of the raw material stage, the carbon footprint of the production and manufacture stage, the carbon footprint of the transportation stage, the carbon footprint of the use stage and the carbon footprint of the recovery stage according to the first carbon data set.

Wherein the first carbon dataset comprises: carbon data for raw material stage, carbon data for production manufacturing stage, carbon data for transportation stage, carbon data for use stage, and carbon data for recovery stage.

Calling a carbon footprint formula corresponding to an original material stage, a carbon footprint formula corresponding to a production manufacturing stage, a carbon footprint formula corresponding to a transportation stage, a carbon footprint formula corresponding to a required use stage and a carbon footprint formula corresponding to a recovery stage in the preset carbon footprint model, and obtaining the carbon footprint of each stage based on the carbon data, the carbon emission factors and the carbon footprint formulas of each stage.

And step S132, obtaining a first product carbon footprint by utilizing a preset carbon footprint model according to the carbon footprints of the raw material stage, the production and manufacturing stage, the transportation stage, the use stage and the recovery stage.

The method comprises the steps of calling a first product carbon footprint generation formula in a preset carbon footprint model: y is Y ₁ =C ₁ +C ₂ +C ₃ +C ₄ +C ₅ Carbon footprint C according to raw material stage ₁ Carbon footprint C at the stage of manufacturing ₂ Carbon footprint C of transportation stage ₃ Carbon footprint C of use stage ₄ And carbon footprint C of recovery stage ₅ Obtaining a first product carbon footprint Y ₁ 。

In an alternative embodiment, step S131 in the embodiment of the present disclosure further includes:

determining the carbon footprint of the raw material stage by utilizing a preset carbon footprint model according to the quality of each component in each raw material of the target product in the first carbon data set and the recovery rate of each component in each raw material; or determining the carbon footprint of the raw material stage by utilizing a preset carbon footprint model according to the carbon footprint of each raw material of the target product in the first carbon data set and the recovery rate of each raw material.

In one embodiment, the first carbon data set comprises: the quality of each component in each raw material of the target product and the recovery rate of each component in each raw material; alternatively, the first carbon data set comprises: the carbon footprint of each raw material and the recovery rate of each raw material. Wherein the recovery rate of the raw material is a ratio of the mass of the recovered material contained in the raw material to the total mass of the raw material. The recovery rate of a component is the ratio of the mass of recovered material contained in the component to the total mass of the component.

The mass of each component in each raw material and the recovery rate of each component in each raw material can be obtained from a bill of materials (Bill of Materials, BOM), and the raw materials of the target product can include: raw materials of the target product itself and packaging materials of the raw materials.

When the first carbon dataset comprises: when the carbon footprint of each raw material and the recovery rate of each raw material are calculated, calling a carbon footprint formula (1) corresponding to a raw material stage in a preset carbon footprint model, and obtaining a carbon footprint C of the raw material stage based on the carbon footprint of each raw material, the carbon footprint recovery rate and the carbon footprint formula (1) ₁ ：

（1）

Wherein n is ₁ Is the kind of the raw material of the target product,

is->

Carbon footprint of individual raw materials,/->

Is->

Recovery of individual raw materials.

When the first carbon dataset comprises: when the mass of each component in each raw material and the recovery rate of each component in each raw material are calculated, a carbon footprint formula (2) corresponding to the raw material stage in a preset carbon footprint model is called, and the carbon in the raw material stage is obtained based on the mass of each component in each raw material, the recovery rate of each component in each raw material and the carbon footprint formula (2)Footprint C ₁ ：

（2）

Wherein,,

is->

The mass of the j-th component of the raw material, < >>

As the carbon emission factor of the j-th component,

Recovery of the jth component.

And determining the carbon footprint of the production manufacturing stage by utilizing a preset carbon footprint model according to the waste amount generated in the production process of the target product in the first carbon data set and the energy amount consumed in the production process.

In one embodiment, the carbon data for the production manufacturing stage of the target product in the first carbon data set includes: the amount of waste generated by the production process of the target product and the amount of energy consumed by the production process. Wherein the amount of waste generated by the production process of the target product may include: the method comprises the steps of producing waste generated by each working procedure in the production process of a target product, wherein the production process comprises a plurality of working procedures; the energy consumed in the production process comprises the following steps: the amount of outsourcing energy consumed by the production process and the amount of fossil fuel consumed by the production process, for example, the outsourcing energy may be electric energy or the like, and the fossil fuel may be coal or the like.

Calling a carbon footprint formula (3) corresponding to a production and manufacturing stage in a preset carbon footprint model, and obtaining a carbon footprint C of the production and manufacturing stage based on the waste amount generated in the production process of the target product, the energy amount consumed in the production process and the carbon footprint formula (3) ₂ ：

（3）

Wherein n is ₂ As the kind of the working section,

is->

The amount of fossil fuel consumed by the j-th process of the section, < >>

For fossil fuel used in the j-th step +.>

Carbon emission factor of>

Is->

Outsourcing energy consumed in the j-th process of the section, < >>

Is the outsourcing energy source used in the j-th procedure +.>

Carbon emission factor of>

Is->

Assembling factor of j-th procedure of each section, < >>

Is->

The amount of waste produced in the j-th process of the section, is->

Waste generated for the j-th step->

Carbon emission factor of (c).

And determining the carbon footprint of the transportation stage by utilizing a preset carbon footprint model according to the transportation mode and the transportation distance of the target product in the first carbon data set.

In one embodiment, the carbon data for the transportation phase of the target product in the first carbon data set comprises: the transportation mode and the transportation distance of the target product.

Invoking a carbon footprint formula (4) corresponding to a transportation stage in a preset carbon footprint model, and obtaining a carbon footprint C of the transportation stage based on the transportation mode, the transportation distance and the carbon footprint formula (4) of the target product ₃ ：

（4）

Wherein n is ₃ In order to be able to carry out this type of transport,

is->

Distance of jth transport in the next transport mode, < >>

Is->

And C, the carbon emission factor of each transportation mode, and S is the total transportation distance.

And determining the carbon footprint of the using stage according to the electric power, the running time and the greenhouse gas generation rate of the target product in the first carbon data set in the preset running state.

In one embodiment, the carbon data for the usage phase of the target product in the first carbon data set includes: electric power, running time and greenhouse gas generation rate of the target product under a preset running state. The preset operating state may be a standard operating state of the target product. The target product may include a plurality of modules. Greenhouse gas emissions may include: during use of the target product, direct emission of greenhouse gases generated using the electric energy and indirect emission of greenhouse gases generated using the electric energy. For example, the direct emission of greenhouse gases generated using electric power may be greenhouse gases directly generated and emitted using electric power, and the indirect emission of greenhouse gases generated using electric power may be greenhouse gases generated and emitted using electric power other than the direct emission of greenhouse gases generated using electric power.

Invoking a carbon footprint formula (5) corresponding to the using stage in the preset carbon footprint model, and obtaining a carbon footprint C of the using stage based on the electric power, the running time, the greenhouse gas generation rate and the carbon footprint formula (5) of the target product in the preset running state ₄ ：

（5）

Wherein n is ₄ As a kind of module for the target product,

is->

The generation rate of direct emission of greenhouse gases by the individual modules in a preset operating state, < >>

Is->

Carbon emission factor of the individual modules for directly emitting greenhouse gas p in a preset operating state, +.>

Is->

Electric power of the individual modules in a predetermined operating state, < >>

Carbon emission factor of electric energy, +.>

Is->

The running time of each module in the preset running state.

And determining the carbon footprint of the recovery stage according to the amount of waste generated by recovering the target product and the amount of energy consumed by recovering the target product in the first carbon data set.

In one embodiment, the carbon data for the recovery stage of the target product in the first carbon data set includes: the amount of waste generated by the recovery processing target product and the amount of energy consumed by the recovery processing target product, which may be electric energy.

Invoking a carbon footprint formula (6) corresponding to the recovery stage in a preset carbon footprint model, and obtaining a carbon footprint C of the recovery stage based on the waste amount generated by the recovery processing target product, the energy amount consumed by the recovery processing target product and the carbon footprint formula (6) ₅ ：

（6）

Wherein n is ₅ For the number of recovery processing modes of the target product,

Is the%>

The amount of waste generated by the module in the j-th target product recycling mode,/for the target product recycling mode>

Is the%>

Carbon emission factor corresponding to jth target product recovery processing mode by the module>

Is the%>

The energy consumed by the module in the j-th target product recycling treatment mode is +.>

Is the%>

And the carbon emission factor corresponding to the energy consumed by the j-th target product recovery processing mode is obtained by the module. The target product recovery processing mode may include: burial, incineration, etc.

In an alternative embodiment, step S140 in an embodiment of the present disclosure further includes the following: in response to the target product having the carbon data including at least a raw material stage, a production manufacturing stage, and a usage stage, it is determined that the target product meets a second preset carbon footprint generation condition.

In one embodiment, the stage of the second preset carbon footprint generation condition requiring carbon data includes: raw material stage, manufacturing stage and use stage.

When the stage of the target product with the carbon data does not include at least one of a raw material stage, a production manufacturing stage and a use stage, determining that the target product does not meet the second preset carbon footprint generation condition, and determining that the target product cannot generate the carbon footprint of the target product.

In an alternative embodiment, as shown in fig. 4, step S150 in the embodiment of the present disclosure further includes the following steps:

step S151, determining a carbon footprint of the raw material stage, a carbon footprint of the production manufacturing stage, and a carbon footprint of the use stage according to the second carbon data set.

Wherein the second trace data set comprises: carbon data for raw material stage, carbon data for production manufacturing stage, and carbon data for use stage. The carbon footprint of the corresponding stage can be generated by the method for generating the carbon footprint of each stage, and the description is omitted here.

Step S152, obtaining a second product carbon footprint by utilizing a preset carbon footprint model based on the carbon footprint of the raw material stage, the carbon footprint of the production and manufacturing stage and the carbon footprint of the use stage.

The method comprises the steps of calling a second product carbon footprint generation formula in a preset carbon footprint model: y is Y ₂ =C ₁ +C ₂ +C ₄ The second product carbon footprint is obtained based on the second product carbon footprint generation formula, the carbon footprint of the raw material stage, the carbon footprint of the production manufacturing stage, and the carbon footprint of the usage stage.

In an alternative embodiment, step S130 in the embodiment of the disclosure further includes: a first carbon footprint report of the target product is determined. Wherein the first carbon footprint report includes: the method comprises the steps of a first product carbon footprint, a raw material stage carbon footprint, a production manufacturing stage carbon footprint, a transportation stage carbon footprint, a use stage carbon footprint, a recovery stage carbon footprint, a stage-corresponding carbon data identifier with carbon data, and a first product carbon footprint identifier.

In one embodiment, the industrial internet identifier for identifying the first product carbon footprint may be requested by the industrial internet identifier allocation management system, and the industrial internet identifier is used as the identifier of the first product carbon footprint, and meanwhile, the first product carbon footprint is accessed into the industrial internet, so that the identifier of the first product carbon footprint may be resolved by the identifier resolving system of the industrial internet, and the first product carbon footprint is obtained.

The template of the first carbon footprint report may be preset, and the carbon footprint of the first product, the carbon footprint of the raw material stage, the carbon footprint of the production and manufacture stage, the carbon footprint of the transportation stage, the carbon footprint of the use stage, the carbon footprint of the recovery stage, the carbon data identifier corresponding to the raw material stage, the carbon data identifier corresponding to the production and manufacture stage, the carbon data identifier corresponding to the transportation stage, the carbon data identifier corresponding to the use stage, the carbon data identifier corresponding to the recovery stage, and the identifier of the first product carbon footprint are added to the template of the first carbon footprint report, so as to obtain the first carbon footprint report.

Step S160 in the embodiment of the present disclosure further includes: a second carbon footprint report of the target product is determined. Wherein the second carbon footprint report includes: the method comprises the steps of a second product carbon footprint, a carbon footprint of a raw material stage, a carbon footprint of a production manufacturing stage, a carbon footprint of a use stage, an identification of the second product carbon footprint, a carbon data identification corresponding to a stage with carbon data, an identification of the second product carbon footprint and a stage without carbon data in the life cycle of a target product.

In one embodiment, a template of the second carbon footprint report may be preset, and a second product carbon footprint, a carbon footprint of a raw material stage, a carbon footprint of a production manufacturing stage, a carbon footprint of a use stage, a carbon data identifier corresponding to the raw material stage, a carbon data identifier corresponding to the production manufacturing stage, a carbon data identifier corresponding to the use stage, an identifier of the second product carbon footprint, and a stage without carbon data in a life cycle of a target product are added to the template of the second carbon footprint report to obtain the second carbon footprint report.

The following is an application embodiment of the industrial internet-based carbon footprint determination method in the embodiment of the present disclosure, in this application example, a target product is illustrated by taking a printer as an example, a carbon footprint service platform is used for generating a carbon footprint of the target product, and a plurality of first preset carbon footprint generation condition uses, a plurality of second preset carbon footprint generation conditions and a preset carbon footprint model are stored on the carbon footprint service platform; the life cycle of the target product includes: a raw material stage, a production and manufacturing stage, a transportation stage, a use stage and a recovery stage. Fig. 5 shows an application scenario of an industrial internet-based carbon footprint determination method, specifically including:

The carbon data and the carbon data identification of each stage of the target product are accessed into an identification analysis system of the industrial Internet by an executor of each stage.

Determining a carbon data identifier corresponding to a product identifier according to the product identifier of a target product in a carbon footprint service platform, and determining a stage with carbon data in the life cycle of the target product according to the carbon data identifier corresponding to the product identifier; and taking the first preset carbon footprint generation condition and the second preset carbon footprint generation condition which correspond to the target product and are in the same classification as the first preset carbon footprint generation condition and the second preset carbon footprint generation condition for judging the target product.

At the carbon footprint service platform, determining whether the phases of the target product having carbon data include all phases in a lifecycle of the target product, the lifecycle comprising: a raw material stage, a production and manufacturing stage, a transportation stage, a use stage and a recovery stage.

In the carbon footprint service platform, determining that the target product meets a first preset carbon footprint generation condition when the stages of the target product with carbon data comprise all stages in the life cycle of the target product; when the target product meets a first preset carbon footprint generation condition, an identification analysis system of the industrial Internet is utilized to carry out identification analysis on the carbon data identification corresponding to the stage with the carbon data, so as to obtain a first carbon data set of the target product; determining a carbon footprint of a raw material stage, a carbon footprint of a production manufacturing stage, a carbon footprint of a transportation stage, a carbon footprint of a use stage and a carbon footprint of a recovery stage according to the first carbon data set and a preset carbon footprint model; and determining the first product carbon footprint by utilizing a preset carbon footprint model according to the carbon footprint of the raw material stage, the carbon footprint of the production and manufacture stage, the carbon footprint of the transportation stage, the carbon footprint of the use stage and the carbon footprint of the recovery stage. Allocating an identifier for the first product carbon footprint, and accessing the identifier of the first product carbon footprint and the identifier of the first product carbon footprint into an identifier analysis system of the industrial Internet; a first carbon footprint report is generated.

In the carbon footprint service platform, when the target product does not meet the first preset carbon footprint generation condition, determining whether the target product meets the second preset carbon footprint generation condition according to the stage that the target product has carbon data; when the stage of the target product with the carbon data at least comprises a raw material stage, a production and manufacturing stage and a use stage, determining that the target product meets a second preset carbon footprint generation condition; when the target product meets a second preset carbon footprint generation condition, an identification analysis system of the industrial Internet is utilized to carry out identification analysis on the stage with carbon data and the carbon data identification of the preset carbon footprint model, so as to obtain a second carbon data set of the target product; determining a carbon footprint of the raw material stage, a carbon footprint of the production manufacturing stage, and a carbon footprint of the use stage from the second carbon dataset; the second product carbon footprint is determined using a preset carbon footprint model based on the carbon footprint of the raw material stage, the carbon footprint of the manufacturing stage, and the carbon footprint of the usage stage. Allocating identifiers for the second product carbon footprint, and accessing the identifiers of the second product carbon footprint and the second product carbon footprint into an identifier analysis system of the industrial Internet; a second carbon footprint report is generated.

FIG. 6 illustrates a block diagram of an industrial Internet-based carbon footprint determination device in an embodiment of the present disclosure. As shown in fig. 6, the carbon footprint determining apparatus of this embodiment based on the industrial internet includes:

a first judging module 210, configured to determine, according to a stage having carbon data in a life cycle of a target product, whether the target product meets a first preset carbon footprint generating condition;

a first analysis module 220, configured to, in response to the target product meeting the first preset carbon footprint generation condition, perform, by using an identification analysis system of the industrial internet, identification analysis on the carbon data identifier corresponding to the stage with carbon data, to obtain a first carbon data set of the target product;

a first determining module 230, configured to determine a carbon footprint of the target product according to the first carbon data set and a preset carbon footprint model, so as to obtain a first product carbon footprint;

a second judging module 240, configured to determine, according to a stage in which the target product has carbon data, whether the target product meets a second preset carbon footprint generating condition in response to the target product not meeting the first preset carbon footprint generating condition;

a second analysis module 250, configured to, in response to the target product meeting the second preset carbon footprint generation condition, perform, by using an identification analysis system of the industrial internet, identification analysis on the carbon data identifier of the stage with carbon data, to obtain a second carbon data set of the target product;

And a second determining module 260, configured to determine a carbon footprint of the target product according to the second carbon dataset and the preset carbon footprint model, so as to obtain a carbon footprint of a second product.

In an alternative embodiment, the first determining module 210 in the embodiment of the disclosure is further configured to: determining whether the phases of the target product having carbon data include all phases in a lifecycle of the target product, wherein the lifecycle includes: a raw material stage, a production and manufacturing stage, a transportation stage, a use stage and a recovery stage; in response to the stages of the target product having carbon data including all stages in the lifecycle, determining that the target product meets the first preset carbon footprint generation condition.

In an alternative embodiment, the first determining module 230 in the embodiment of the disclosure is further configured to: determining, from the first carbon dataset, a carbon footprint of the raw material stage, a carbon footprint of the production manufacturing stage, a carbon footprint of the transportation stage, a carbon footprint of the usage stage, and a carbon footprint of the recovery stage; and obtaining the first product carbon footprint by utilizing the preset carbon footprint model according to the carbon footprints of the raw material stage, the carbon footprint of the production and manufacturing stage, the carbon footprint of the transportation stage, the carbon footprint of the use stage and the carbon footprint of the recovery stage.

In an alternative embodiment, the first determining module 230 in the embodiment of the disclosure is further configured to:

determining the carbon footprint of the raw material stage by utilizing the preset carbon footprint model according to the quality of each component in each raw material of the target product in the first carbon data set and the recovery rate of each component in each raw material; or determining the carbon footprint of the raw material stage by utilizing the preset carbon footprint model according to the carbon footprint of each raw material of the target product in the first carbon data set and the recovery rate of each raw material; determining the carbon footprint of the production and manufacturing stage by utilizing the preset carbon footprint model according to the waste amount generated in the production process of the target product and the energy consumed in the production process in the first carbon data set; determining the carbon footprint of the transportation stage by utilizing the preset carbon footprint model according to the transportation mode and the transportation distance of the target product in the first carbon data set; determining the carbon footprint of the using stage according to the electric power, the running time and the greenhouse gas generation rate of the target product in the first carbon data set in a preset running state; and determining the carbon footprint of the recovery stage according to the amount of waste generated by recovering and processing the target product in the first carbon data set and the amount of energy consumed by recovering and processing the target product.

In an alternative embodiment, the second determining module 240 in the embodiment of the present disclosure is further configured to: in response to the target product having carbon data stages including at least the raw material stage, the production manufacturing stage, and the usage stage, determining that the target product meets the second preset carbon footprint generation condition.

In an alternative embodiment, the second determining module 260 in the embodiment of the disclosure is further configured to: determining a carbon footprint of the raw material stage, a carbon footprint of the production manufacturing stage, and a carbon footprint of the use stage from the second carbon dataset; and obtaining the second product carbon footprint by utilizing the preset carbon footprint model based on the carbon footprint of the raw material stage, the carbon footprint of the production and manufacturing stage and the carbon footprint of the using stage.

In an alternative embodiment, the industrial internet-based carbon footprint determining apparatus in an embodiment of the present disclosure further includes:

a first report generation module for determining a first carbon footprint report of the target product, wherein the first carbon footprint report comprises: the first product carbon footprint, the carbon footprint of a raw material stage, the carbon footprint of a production manufacturing stage, the carbon footprint of a transportation stage, the carbon footprint of a use stage, the carbon footprint of a recovery stage, the carbon data identification corresponding to the stage with carbon data, and the identification of the first product carbon footprint;

A second report generation module for determining a second carbon footprint report of the target product, wherein the second carbon footprint report comprises: the second product carbon footprint, the carbon footprint of the raw material stage, the carbon footprint of the production manufacturing stage, the carbon footprint of the use stage, the identification of the second product carbon footprint, the identification of the carbon data corresponding to the stage with the carbon data, the identification of the second product carbon footprint, and the stage without the carbon data in the target product life cycle.

In addition, the embodiment of the disclosure also provides an electronic device, which comprises:

a memory for storing a computer program;

and a processor, configured to execute the computer program stored in the memory, and when the computer program is executed, implement the industrial internet-based carbon footprint determination method according to any one of the embodiments of the present disclosure.

Fig. 7 is a schematic structural diagram of an application embodiment of the electronic device of the present disclosure. Next, an electronic device according to an embodiment of the present disclosure is described with reference to fig. 7. The electronic device may be either or both of the first device and the second device, or a stand-alone device independent thereof, which may communicate with the first device and the second device to receive the acquired input signals therefrom.

As shown in fig. 7, the electronic device includes one or more processors and memory.

The processor may be a Central Processing Unit (CPU) or other form of processing unit having data processing and/or instruction execution capabilities, and may control other components in the electronic device to perform the desired functions.

The memory may include one or more computer program products that may include various forms of computer-readable storage media, such as volatile memory and/or non-volatile memory. The volatile memory may include, for example, random Access Memory (RAM) and/or cache memory (cache), and the like. The non-volatile memory may include, for example, read Only Memory (ROM), hard disk, flash memory, and the like. One or more computer program instructions may be stored on the computer readable storage medium that can be executed by a processor to implement the industrial internet-based carbon footprint determination method and/or other desired functions of the various embodiments of the present disclosure described above.

In one example, the electronic device may further include: input devices and output devices, which are interconnected by a bus system and/or other forms of connection mechanisms (not shown).

In addition, the input device may include, for example, a keyboard, a mouse, and the like.

The output device may output various information including the determined distance information, direction information, etc., to the outside. The output means may include, for example, a display, speakers, a printer, and a communication network and remote output devices connected thereto, etc.

Of course, only some of the components of the electronic device relevant to the present disclosure are shown in fig. 7 for simplicity, components such as buses, input/output interfaces, and the like being omitted. In addition, the electronic device may include any other suitable components depending on the particular application.

In addition to the methods and apparatus described above, embodiments of the present disclosure may also be a computer program product comprising computer program instructions which, when executed by a processor, cause the processor to perform the steps in the industrial internet-based carbon footprint determination method described in the above section of the present disclosure according to various embodiments of the present disclosure.

The computer program product may write program code for performing the operations of embodiments of the present disclosure in any combination of one or more programming languages, including an object oriented programming language such as Java, C++ or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computing device, partly on the user's device, as a stand-alone software package, partly on the user's computing device, partly on a remote computing device, or entirely on the remote computing device or server.

Moreover, embodiments of the present disclosure may also be a computer-readable storage medium having stored thereon computer program instructions which, when executed by a processor, cause the processor to perform the steps in the industrial internet-based carbon footprint determination method according to various embodiments of the present disclosure described in the above section of the present description.

The computer readable storage medium may employ any combination of one or more readable media. The readable medium may be a readable signal medium or a readable storage medium. The readable storage medium may include, for example, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or a combination of any of the foregoing. More specific examples (a non-exhaustive list) of the readable storage medium would include the following: an electrical connection having one or more wires, a portable disk, a hard disk, random Access Memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

Those of ordinary skill in the art will appreciate that: all or part of the steps for implementing the above method embodiments may be implemented by hardware associated with program instructions, where the foregoing program may be stored in a computer readable storage medium, and when executed, the program performs steps including the above method embodiments; and the aforementioned storage medium includes: various media that can store program code, such as ROM, RAM, magnetic or optical disks.

The basic principles of the present disclosure have been described above in connection with specific embodiments, however, it should be noted that the advantages, benefits, effects, etc. mentioned in the present disclosure are merely examples and not limiting, and these advantages, benefits, effects, etc. are not to be considered as necessarily possessed by the various embodiments of the present disclosure. Furthermore, the specific details disclosed herein are for purposes of illustration and understanding only, and are not intended to be limiting, since the disclosure is not necessarily limited to practice with the specific details described.

In this specification, each embodiment is described in a progressive manner, and each embodiment is mainly described in a different manner from other embodiments, so that the same or similar parts between the embodiments are mutually referred to. For system embodiments, the description is relatively simple as it essentially corresponds to method embodiments, and reference should be made to the description of method embodiments for relevant points.

The block diagrams of the devices, apparatuses, devices, systems referred to in this disclosure are merely illustrative examples and are not intended to require or imply that the connections, arrangements, configurations must be made in the manner shown in the block diagrams. As will be appreciated by one of skill in the art, the devices, apparatuses, devices, systems may be connected, arranged, configured in any manner. Words such as "including," "comprising," "having," and the like are words of openness and mean "including but not limited to," and are used interchangeably therewith. The terms "or" and "as used herein refer to and are used interchangeably with the term" and/or "unless the context clearly indicates otherwise. The term "such as" as used herein refers to, and is used interchangeably with, the phrase "such as, but not limited to.

The methods and apparatus of the present disclosure may be implemented in a number of ways. For example, the methods and apparatus of the present disclosure may be implemented by software, hardware, firmware, or any combination of software, hardware, firmware. The above-described sequence of steps for the method is for illustration only, and the steps of the method of the present disclosure are not limited to the sequence specifically described above unless specifically stated otherwise. Furthermore, in some embodiments, the present disclosure may also be implemented as programs recorded in a recording medium, the programs including machine-readable instructions for implementing the methods according to the present disclosure. Thus, the present disclosure also covers a recording medium storing a program for executing the method according to the present disclosure.

It is also noted that in the apparatus, devices and methods of the present disclosure, components or steps may be disassembled and/or assembled. Such decomposition and/or recombination should be considered equivalent to the present disclosure.

The previous description of the disclosed aspects is provided to enable any person skilled in the art to make or use the present disclosure. Various modifications to these aspects will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other aspects without departing from the scope of the disclosure. Thus, the present disclosure is not intended to be limited to the aspects shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

The foregoing description has been presented for purposes of illustration and description. Furthermore, this description is not intended to limit the embodiments of the disclosure to the form disclosed herein. Although a number of example aspects and embodiments have been discussed above, a person of ordinary skill in the art will recognize certain variations, modifications, alterations, additions, and subcombinations thereof.

Claims

1. A method for determining a carbon footprint based on the industrial internet, comprising:

determining whether a target product meets a first preset carbon footprint generation condition according to a stage with carbon data in a life cycle of the target product;

responding to the target product meeting the first preset carbon footprint generation condition, and carrying out identification analysis on the carbon data identification corresponding to the stage with the carbon data by using an identification analysis system of the industrial Internet to obtain a first carbon data set of the target product;

determining the carbon footprint of the target product according to the first carbon data set and a preset carbon footprint model to obtain a first product carbon footprint;

determining whether the target product meets a second preset carbon footprint generation condition according to the stage of the target product with carbon data in response to the target product not meeting the first preset carbon footprint generation condition; responding to the target product meeting the second preset carbon footprint generation condition, and carrying out identification analysis on the carbon data identification of the stage with the carbon data by utilizing an identification analysis system of the industrial Internet to obtain a second carbon data set of the target product;

Determining the carbon footprint of the target product according to the second carbon data set and the preset carbon footprint model to obtain a second product carbon footprint;

wherein the method further comprises:

determining a carbon data identifier corresponding to the product identifier according to the product identifier of the target product;

and determining the stage with carbon data in the life cycle of the target product according to the carbon data identifier corresponding to the product identifier.

2. The method of claim 1, wherein the determining whether the target product meets a first preset carbon footprint generation condition based on the stage of the target product lifecycle having carbon data comprises:

determining whether the phases of the target product having carbon data include all phases in a lifecycle of the target product, wherein the lifecycle includes: a raw material stage, a production and manufacturing stage, a transportation stage, a use stage and a recovery stage;

in response to the stages of the target product having carbon data including all stages in the lifecycle, determining that the target product meets the first preset carbon footprint generation condition.

3. The method of claim 2, wherein determining the carbon footprint of the target product based on the first carbon dataset and a pre-set carbon footprint model, resulting in a first product carbon footprint, comprises:

Determining, from the first carbon dataset, a carbon footprint of the raw material stage, a carbon footprint of the production manufacturing stage, a carbon footprint of the transportation stage, a carbon footprint of the usage stage, and a carbon footprint of the recovery stage;

and obtaining the first product carbon footprint by utilizing the preset carbon footprint model according to the carbon footprints of the raw material stage, the carbon footprint of the production and manufacturing stage, the carbon footprint of the transportation stage, the carbon footprint of the use stage and the carbon footprint of the recovery stage.

4. The method of claim 3, wherein the determining the raw material stage carbon footprint, the production manufacturing stage carbon footprint, the transportation stage carbon footprint, the use stage carbon footprint, and the recovery stage carbon footprint from the first carbon dataset comprises:

determining the carbon footprint of the raw material stage by utilizing the preset carbon footprint model according to the quality of each component in each raw material of the target product in the first carbon data set and the recovery rate of each component in each raw material; or determining the carbon footprint of the raw material stage by utilizing the preset carbon footprint model according to the carbon footprint of each raw material of the target product in the first carbon data set and the recovery rate of each raw material;

Determining the carbon footprint of the production and manufacturing stage by utilizing the preset carbon footprint model according to the waste amount generated in the production process of the target product and the energy consumed in the production process in the first carbon data set;

determining the carbon footprint of the transportation stage by utilizing the preset carbon footprint model according to the transportation mode and the transportation distance of the target product in the first carbon data set;

determining the carbon footprint of the using stage according to the electric power, the running time and the greenhouse gas generation rate of the target product in the first carbon data set in a preset running state;

and determining the carbon footprint of the recovery stage according to the amount of waste generated by recovering and processing the target product in the first carbon data set and the amount of energy consumed by recovering and processing the target product.

5. The method of any one of claims 1-4, wherein the determining whether the target product meets a second preset carbon footprint generation condition according to the stage in which the target product has carbon data comprises:

in response to the target product having carbon data at least including a raw material stage, a production manufacturing stage, and a usage stage, determining that the target product meets the second preset carbon footprint generation condition.

6. The method of claim 5, wherein determining the carbon footprint of the target product based on the second carbon dataset and the pre-set carbon footprint model to obtain a second product carbon footprint comprises:

determining a carbon footprint of the raw material stage, a carbon footprint of the production manufacturing stage, and a carbon footprint of the use stage from the second carbon dataset;

and obtaining the second product carbon footprint by utilizing the preset carbon footprint model based on the carbon footprint of the raw material stage, the carbon footprint of the production and manufacturing stage and the carbon footprint of the using stage.

7. The method of any one of claims 1-4, wherein determining the carbon footprint of the target product from the first carbon dataset and a pre-set carbon footprint model, after obtaining a first product carbon footprint, further comprises:

determining a first carbon footprint report of the target product, wherein the first carbon footprint report comprises: the first product carbon footprint, the carbon footprint of a raw material stage, the carbon footprint of a production manufacturing stage, the carbon footprint of a transportation stage, the carbon footprint of a use stage, the carbon footprint of a recovery stage, the carbon data identification corresponding to the stage with carbon data, and the identification of the first product carbon footprint;

Determining the carbon footprint of the target product according to the second carbon data set and the preset carbon footprint model, and after obtaining the carbon footprint of the second product, further comprising:

determining a second carbon footprint report of the target product, wherein the second carbon footprint report comprises: the second product carbon footprint, the carbon footprint of the raw material stage, the carbon footprint of the production manufacturing stage, the carbon footprint of the use stage, the identification of the second product carbon footprint, the identification of the carbon data corresponding to the stage with the carbon data, the identification of the second product carbon footprint, and the stage without the carbon data in the target product life cycle.

8. An industrial internet-based carbon footprint determination device, comprising:

the first judging module is used for determining whether the target product meets a first preset carbon footprint generating condition according to the stage with carbon data in the life cycle of the target product;

the first analysis module is used for responding to the condition that the target product meets the first preset carbon footprint generation condition, and performing identification analysis on the carbon data identification corresponding to the stage with the carbon data by using an identification analysis system of the industrial Internet to obtain a first carbon data set of the target product;

The first determining module is used for determining the carbon footprint of the target product according to the first carbon data set and a preset carbon footprint model to obtain a first product carbon footprint;

the second judging module is used for determining whether the target product meets a second preset carbon footprint generating condition according to the stage that the target product has carbon data in response to the target product not meeting the first preset carbon footprint generating condition;

the second analysis module is used for responding to the target product meeting the second preset carbon footprint generation condition, and carrying out identification analysis on the carbon data identification of the stage with the carbon data by utilizing the identification analysis system of the industrial Internet to obtain a second carbon data set of the target product;

the second determining module is used for determining the carbon footprint of the target product according to the second carbon data set and the preset carbon footprint model to obtain a second product carbon footprint;

wherein, the first parsing module is further configured to:

9. An electronic device, comprising:

a memory for storing a computer program;

a processor for executing a computer program stored in the memory, and which, when executed, implements the industrial internet-based carbon footprint determination method of any of the above claims 1-7.

10. A computer readable storage medium having stored thereon a computer program, which when executed by a processor, implements the industrial internet based carbon footprint determination method of any of the preceding claims 1-7.