CN117314232A - Method, device, terminal equipment and medium for evaluating green low-carbon suppliers - Google Patents
Method, device, terminal equipment and medium for evaluating green low-carbon suppliers Download PDFInfo
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Abstract
The application is applicable to the technical field of green environmental protection evaluation, and provides a green low-carbon provider evaluation method, a device, terminal equipment and a medium, wherein the method comprises the following steps: acquiring current carbon footprint related data of a target provider from a alliance chain; current carbon footprint related data is uploaded to the coalition chain by clients of multiple participants on the same supply chain; calculating a current carbon footprint of the target provider based on the current carbon footprint related data of the target provider; based on the current carbon footprint of the target supplier, an evaluation result of the target supplier is determined. The method and the device can solve the problem that the data of carbon emission is changed.
Description
Technical Field
The application belongs to the technical field of green environmental protection evaluation, and particularly relates to a green low-carbon provider evaluation method, a device, terminal equipment and a medium.
Background
In order to cope with the problems of global warming, environmental pollution and the like, the carbon dioxide emission amount needs to be strived for to reach a peak earlier, and carbon neutralization is striven for. According to relevant survey data, 75% of the total product carbon footprint comes from the supply chain. At this time, there is a higher demand for green low carbon for various production enterprises.
When the enterprise selects suppliers to cooperate, there are situations in which the suppliers cannot meet the agreed low-carbon requirements in practice, and the data of carbon emission is changed. At this time, the low-carbon behavior of the enterprise on the provider cannot be controlled and understood, which is disadvantageous for the enterprise to participate in the low-carbon market itself.
Disclosure of Invention
In order to overcome the problems in the related art, the embodiments of the present application provide a method, an apparatus, a terminal device, and a medium for evaluating a green low-carbon supplier, which can solve the problem that data of carbon emission is changed.
The application is realized by the following technical scheme:
in a first aspect, embodiments of the present application provide a green low carbon supplier evaluation method, including:
acquiring current carbon footprint related data of a target provider from a alliance chain; current carbon footprint related data is uploaded to the coalition chain by clients of multiple participants on the same supply chain;
calculating a current carbon footprint of the target provider based on the current carbon footprint related data of the target provider;
based on the current carbon footprint of the target supplier, an evaluation result of the target supplier is determined.
In one possible implementation manner of the first aspect, obtaining carbon footprint related data of a current target provider from a coalition chain includes:
Initiating a request to a federation chain to obtain data of a target provider; the request to obtain the data of the target provider includes a unique identifier of the target provider; each participant carries a unique identifier of the target provider when uploading the carbon footprint related data of the target provider;
current carbon footprint related data of the target supplier stored in the coalition chain is obtained based on the unique identifier of the target supplier.
In one possible implementation manner of the first aspect, the carbon footprint related data of the current target supplier includes consumption of raw materials, consumption of energy during transportation of raw materials, consumption of energy during production and manufacture, consumption of energy during transportation of products, consumption of energy during use of products, and consumption of energy during recovery of products;
based on the carbon footprint related data of the current target provider, calculating the current carbon footprint of the target provider includes:
calculating a first carbon footprint of a raw material acquisition link based on the consumption of the raw material;
calculating a second carbon footprint of the raw material transportation link based on the energy consumption of the raw material transportation process;
calculating a third carbon footprint of the production link of the product based on the energy consumption in the production manufacturing process;
Calculating a fourth carbon footprint of the product transportation link based on the energy consumption of the product transportation process;
calculating a fifth carbon footprint of a product use link based on energy consumption in the product use process;
calculating a sixth carbon footprint of the product recovery link based on the energy consumption in the product recovery process;
the current carbon footprint of the target provider is calculated based on the first carbon footprint, the second carbon footprint, the third carbon footprint, the fourth carbon footprint, the fifth carbon footprint, and the sixth carbon footprint.
In one possible implementation manner of the first aspect, determining the evaluation result of the target supplier based on the current carbon footprint of the target supplier includes:
acquiring a desired carbon footprint of a target provider;
a difference between the current carbon footprint and the desired carbon footprint of the target supplier is determined, and an evaluation result of the target supplier is determined based on the difference.
In a possible implementation manner of the first aspect, determining the evaluation result of the target provider based on the difference value includes:
when the difference is not more than 0, the evaluation result of the target provider is full score;
when the difference is greater than 0, the calculation formula of the evaluation result P of the target provider is:
wherein,for the desired carbon footprint, E is the current carbon footprint of the target supplier and K is full.
In a possible implementation manner of the first aspect, the method further includes:
uploading the carbon footprint of the target supplier to the alliance chain as the current carbon footprint of the target supplier;
uploading the evaluation result of the target provider to a alliance chain to serve as the current evaluation result of the target provider;
when the request node initiates an evaluation request of the target provider, a current evaluation result of the target provider is obtained from the alliance chain, contract transaction information is formed based on the queried current evaluation result of the target provider and transaction rules, the contract transaction information is verified based on the intelligent contract, and the transaction amount is cleared.
In one possible implementation of the first aspect, the transaction rules include low carbon fees and low carbon fee settlement percentages;
forming contract transaction information based on the queried current evaluation result of the target provider and the transaction rules, including:
selecting a low-carbon fee settlement percentage based on the queried current evaluation result of the target provider;
contract transaction information is formed based on the low carbon cost settlement percentage and the low carbon cost.
In a second aspect, embodiments of the present application provide a green low-carbon supplier evaluation device, including:
The data acquisition module is used for acquiring carbon footprint related data of the current target supplier from the alliance chain; the carbon footprint related data is uploaded to the alliance chain by clients of multiple participants on the same supply chain;
a carbon footprint calculation module for calculating a current carbon footprint of the target provider based on the carbon footprint related data of the current target provider;
and the evaluation module is used for determining an evaluation result of the target supplier based on the current carbon footprint of the target supplier.
In a third aspect, an embodiment of the present application provides a terminal device, including a memory and a processor, where the memory stores a computer program executable on the processor, where the processor implements the green low-carbon provider assessment method according to any one of the first aspects when executing the computer program.
In a fourth aspect, embodiments of the present application provide a computer readable storage medium storing a computer program, wherein the computer program when executed by a processor implements the green low-carbon provider assessment method according to any one of the first aspects.
Compared with the related art, the embodiment of the application has the beneficial effects that:
According to the embodiment of the application, the traceability and non-modifiable of the data related to the carbon footprint in the product supply chain can be ensured by uploading the data related to the carbon footprint to the alliance chain, the accurate carbon footprint is calculated through the accurate data related to the carbon footprint in the alliance chain, and the green low-carbon aspect of the suppliers is evaluated through the accurate carbon footprint.
It will be appreciated that the advantages of the second to fourth aspects may be found in the relevant description of the first aspect and are not repeated here.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the disclosure.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are required to be used in the embodiments or the description of the related art will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and other drawings may be obtained according to these drawings without inventive effort to a person of ordinary skill in the art.
FIG. 1 is a flow chart of a green low-carbon supplier evaluation method according to an embodiment of the present disclosure;
Fig. 2 is a schematic diagram of an application scenario of a green low-carbon provider evaluation method according to an embodiment of the present application
FIG. 3 is a schematic diagram of a green low-carbon supplier evaluation device according to an embodiment of the present disclosure;
fig. 4 is a schematic structural diagram of a terminal device according to an embodiment of the present application.
Detailed Description
In the following description, for purposes of explanation and not limitation, specific details are set forth, such as particular system configurations, techniques, etc. in order to provide a thorough understanding of the embodiments of the present application. It will be apparent, however, to one skilled in the art that the present application may be practiced in other embodiments that depart from these specific details. In other instances, detailed descriptions of well-known systems, devices, circuits, and methods are omitted so as not to obscure the description of the present application with unnecessary detail.
It should be understood that the terms "comprises" and/or "comprising," when used in this specification and the appended claims, specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof.
It should also be understood that the term "and/or" as used in this specification and the appended claims refers to any and all possible combinations of one or more of the associated listed items, and includes such combinations.
As used in this specification and the appended claims, the term "if" may be interpreted as "when..once" or "in response to a determination" or "in response to detection" depending on the context. Similarly, the phrase "if a determination" or "if a [ described condition or event ] is detected" may be interpreted in the context of meaning "upon determination" or "in response to determination" or "upon detection of a [ described condition or event ]" or "in response to detection of a [ described condition or event ]".
In addition, in the description of the present application and the appended claims, the terms "first," "second," "third," and the like are used merely to distinguish between descriptions and are not to be construed as indicating or implying relative importance.
Reference in the specification to "one embodiment" or "some embodiments" or the like means that a particular feature, structure, or characteristic described in connection with the embodiment is included in one or more embodiments of the application. Thus, appearances of the phrases "in one embodiment," "in some embodiments," "in other embodiments," and the like in the specification are not necessarily all referring to the same embodiment, but mean "one or more but not all embodiments" unless expressly specified otherwise. The terms "comprising," "including," "having," and variations thereof mean "including but not limited to," unless expressly specified otherwise.
In order that those skilled in the art will better understand the present invention, a technical solution in the examples of the present application will be clearly and completely described in the following with reference to the accompanying drawings and detailed description, and it is apparent that the described examples are only some examples of the present invention, not all examples. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Carbon footprint (carbon print) represents the carbon emissions of a person or group. Carbon is a natural resource composed of carbon elements such as petroleum, coal, wood, etc. The more carbon is consumed, the more carbon dioxide is produced, which is the source of global warming, and the larger the carbon footprint is; conversely, the smaller the carbon footprint.
The data of carbon emissions used in the existing green low-carbon supplier evaluation methods as proposed in the background art are modified, and there are some suppliers who may worry about negatively affecting their reputation and competitiveness or worry about additional costs and workload, which are not willing to be evaluated and disclose their carbon footprint.
While a federation chain is to some extent owned by only members within the federation, consensus is easy to reach because, after all, the number of nodes of the federation chain is very limited. The data will not be disclosed by default, and the data of the federation chain is limited to the authorities in the federation and their users only have access. Therefore, the alliance chain is applied to the process of evaluating and storing the carbon footprint related data by the suppliers, the green low-carbon supplier evaluating method is provided, the data of carbon emission is prevented from being changed, the privacy of the carbon footprint related data of each supplier is protected, meanwhile, the importance of green low carbon to the evaluation suppliers is improved, the suppliers are promoted to realize carbon reduction in the fields of energy conservation, emission reduction, green environmental protection and the like, and a reference effect is provided for the selection of the suppliers by the electric power market.
Fig. 1 is a schematic flowchart of a green low-carbon supplier evaluation method according to an embodiment of the present application, and referring to fig. 1, the green low-carbon supplier evaluation method is described in detail as follows:
step 101, acquiring current carbon footprint related data of a target provider from a alliance chain; current carbon footprint related data is uploaded to the coalition chain by clients of multiple participants on the same supply chain.
By way of example, as shown in fig. 2, multiple parties on the same supply chain may include a raw material supplier, a logistics company 1, a supplier, a logistics company 2, and an enterprise, wherein the enterprise is a consumer of a product and the supplier is a supplier of the product. Each participant on the supply chain in the federation may access the federation chain through a respective corresponding node. Where there may be multiple suppliers, then the number of nodes increases accordingly. And, the supply chain is set according to the actual situation, for example, the supplier in fig. 2 may be a production type company, and has raw materials, so that the raw material supplier and the logistics company 1 do not need to be set, and multiple participants on the same supply chain may include enterprises, suppliers and the logistics company 2 on one supply chain. In this embodiment, there are multiple practical situations for each participant on the same supply chain, which are examples herein.
The blockchain does not have a central mechanism, and the consistency of the information of each node is ensured by a consensus mechanism of the blockchain. Blockchains can be generally divided into three general categories, public chains, private chains, and federated chains.
In the federation chain, each node generally has trusted identity management capability, carbon footprint related data storage, authorization and calling capability, data privacy calculation capability and data trusted stream capability, so that a data provider and a data demand party can use the privately deployed federation chain nodes to issue or acquire trusted and safe carbon footprint related data in the federation chain network.
The nodes in the federation chain network may communicate with each other through different networks, for example, the network may be a wireless network or a wired network, and the wireless network may be a Wireless Local Area Network (WLAN), a Local Area Network (LAN), a cellular network, a 2G network, a 3G network, a 4G network, a 5G network, or the like. When the current node acquires transaction result data corresponding to the contract transaction information in the consensus processing request, the transaction result data comprises related data generated when the contract transaction information is executed, and consensus is achieved for the contract transaction information through the current node and other nodes except the current node in the alliance chain network based on the transaction result data; and storing the transaction result data into a target account book corresponding to the current node through the current node.
By way of example, in this embodiment, taking the supply chain of the lead wire as an example, the emission sources of 6 links, that is, the carbon dioxide emissions generated in the links of raw material acquisition, raw material transportation, product production, product transportation, product use, product recovery, etc., are mainly identified. The carbon footprint related data of the target supplier includes consumption of raw materials, consumption of energy during raw material transportation, consumption of energy during production and manufacturing, consumption of energy during product transportation, consumption of energy during product use, and consumption of energy during product recovery.
For example, the supplier's carbon footprint related data may be obtained from a coalition chain. The related data of the carbon footprint of the supplier in the alliance chain is uploaded to the alliance chain by project related parties such as enterprises, suppliers, logistics companies and the like, for example, by installing monitoring equipment on the parts of the suppliers and the logistics companies, data of all links of raw material acquisition, raw material transportation, product production, product transportation, product use and product recovery are recorded in real time, and the data are uploaded to the alliance chain, so that most nodes of the data can be agreed to change, and the block head of each block contains a timestamp of the block, a hash value of the information of the previous block and a hash value of the information of the block, thereby realizing mutual verification among the blocks to form the tamper-proof blockchain.
Each block is illustratively understood to be a unit of stored data. All data participating in the transaction must meet the data format and storage requirements agreed by both parties and the data manager, and the corresponding data dictionary can be established by adopting the existing metadata management mode. The method can also be used for providing conventions in the modes of data cleaning, privacy protection and the like. The account book function is to check whether the node meets the preset agreement, and the corresponding block can be established through the check party and the corresponding data can be stored. For example, the kinds of raw materials in the raw material obtaining process, the consumption of each raw material, the energy consumption of gasoline, diesel oil or natural gas in the transportation means of the raw material transporting process, the energy consumption of electricity, etc. are obtained in practice, and the collected data are subjected to data cleaning, and the respective data are converted into six kinds of carbon footprint related data, namely, the consumption of raw materials, the energy consumption of raw material transporting process, the energy consumption of production manufacturing process, the energy consumption of product transporting process, the energy consumption of product using process and the energy consumption of product recycling process. After all the data participating in the transaction meet the data format and storage requirements agreed by both parties and a data manager, the data are uploaded to a alliance chain for storage, and each uploading, a new block with a time stamp is generated at the tail end of the block chain.
Wherein the data cleansing includes removing duplicate values, processing outliers, and processing erroneous data. Removing the duplicate values: it is checked whether there is a duplicate record in the data, which can be deleted if there is a duplicate value. Processing outliers: checking whether outliers exist in the data, statistical methods or visual methods can be used to identify and process outliers. Processing error data: checking whether there is an error or unreasonable data in the data, such as out-of-range values or non-logical data, may be corrected or deleted.
For example, if the current carbon footprint related data of the target provider is found to be obviously abnormal, the accuracy of the data can be verified by the current carbon footprint related data of the target provider uploaded by other participants recorded in the block, and the error data can be removed. For example, in the raw material transportation process of the lead wire, the consumption of gasoline is reported by the supplier order, and the consumption of gasoline and diesel is reported by the order of the logistics company, the data of the party with obvious errors can be removed by combining the information such as the transportation distance and the transportation product quantity on the order, and the credit of the node where the party is located is deducted, if the credit of the party is deducted, corresponding punishment is performed in the alliance chain according to a preset rule.
The block chain is used as a decentralised database, privacy protection can be realized through a series of data blocks which are mutually associated by using a cryptography method, and each data block contains information of one network transaction and is used for verifying the validity of the information and anti-counterfeiting and generating the next block. The chain formed by connecting blocks end to end is the block chain. If the data in the block needs to be modified, the contents of all blocks after the block need to be modified, and the data backed up by all nodes in the blockchain network are modified. Therefore, the blockchain is characterized by being difficult to tamper with and delete, and has reliability as a method for maintaining the integrity of the content after the data has been saved to the blockchain. Therefore, the target provider in this embodiment is hard to realize to change the data, and can prevent the data related to the carbon footprint from being tampered.
For example, each participant may be assigned a unique identifier, such as a bar code, RFID tag, or digital identifier, at each link in the supply chain. Through these identifiers, the carbon footprint related data of the participants of each link may be tracked and recorded.
Illustratively, obtaining carbon footprint related data for a current target provider from a coalition chain includes: initiating a request to a federation chain to obtain data of a target provider; the request to obtain the data of the target provider includes a unique identifier of the target provider; each party carries a unique identifier of the target provider when uploading the carbon footprint related data of the target provider. Current carbon footprint related data of the target supplier stored in the coalition chain is obtained based on the unique identifier of the target supplier.
For example, each order is distributed with identifiers to both sides of the trade when the data on the order is uploaded, so that no matter how many orders are or what participants the uploading person of the order is, as long as the order has the target supplier, the uploaded data is distributed with a unique identifier of the target supplier for screening out the data related to the carbon footprint.
For example, when an enterprise wants to evaluate a target provider, a request for acquiring data of the target provider is initiated, and the coalition chain responds to the data request by aiming at carbon footprint related data pre-stored in the coalition chain by each participant, and whether the enterprise meets preset acquisition conditions of the carbon footprint related data of the target provider or not is judged by utilizing an intelligent contract at the coalition chain, so that a judgment result is obtained; and if the judging result shows that the enterprise meets the preset acquisition condition of the carbon footprint related data of the target provider, granting the enterprise the acquisition authority of the carbon footprint related data of the target provider. The enterprise is thereby able to obtain carbon footprint related data for the target supplier for subsequent evaluation of the target supplier.
If the judging result shows that the enterprise does not meet the preset obtaining condition of the carbon footprint related data of the target provider, the enterprise can be forbidden to grant the obtaining authority of the enterprise to the carbon footprint related data of the target provider, so that the enterprise cannot obtain the carbon footprint related data of the target provider from the alliance chain network, and the sharing willingness of each provider to the carbon footprint related data is ensured. The preset acquisition conditions can be agreed in advance by each participant when establishing the alliance.
Step 102, calculating the current carbon footprint of the target supplier based on the current carbon footprint related data of the target supplier.
As long as data with the target supplier's mark is uploaded into the coalition chain, the target supplier's current carbon footprint related data always generates a new block, and thus the obtained target supplier's carbon footprint related data is the current moment's carbon footprint related data.
Based on the carbon footprint related data of the current target provider, calculating the current carbon footprint of the target provider includes:
a first carbon footprint of the raw material acquisition link is calculated based on the consumption of raw material.
And calculating a second carbon footprint of the raw material transportation link based on the energy consumption of the raw material transportation means.
And calculating a third carbon footprint of the production link of the product based on the energy consumption in the production and manufacturing process.
And calculating a fourth carbon footprint of the product transportation link based on the energy consumption of the product transportation means.
And calculating a fifth carbon footprint of the product use link based on the energy consumption in the product use process.
And calculating a sixth carbon footprint of the product recovery link based on the energy consumption in the product recovery process.
The current carbon footprint of the target provider is calculated based on the first carbon footprint, the second carbon footprint, the third carbon footprint, the fourth carbon footprint, the fifth carbon footprint, and the sixth carbon footprint.
Exemplary, first carbon footprint E 1 The calculation formula of (2) is as follows:
wherein the first carbon footprint E 1 Represents the total amount of carbon dioxide emissions generated in the raw material acquisition step, expressed in tons of carbon dioxide equivalent (tCO) 2e )；AD i The consumption of the ith raw material in tons (t); i represents the variety and quantity of raw materials; EF (electric F) i Represents the emission factor of the ith raw material in tons of carbon dioxide equivalent per ton (tCO 2e /t)。
Illustratively, taking the earth wire of the steel-cored aluminum strand as an example, all raw materials of the earth wire comprise aluminum strips, galvanized steel strands, wood, steel wire coils, bamboo curtains and the like.
Exemplary, second carbon footprint E 2 The calculation formula of (2) is as follows:
wherein the second carbon footprint E 2 Represents the total amount of carbon dioxide emissions generated in the raw material transportation link, expressed in tons of carbon dioxide equivalent (tCO) 2e )；AD j The j-th energy consumption in the raw material transportation link is expressed in terms of liters (L) or tons (t) or megawatt hours (MWh); j represents the number of types of energy sources; EF (electric F) j Represents the emission factor of the jth energy source in the raw material transportation link, expressed in tons of carbon dioxide equivalent per liter (tCO) 2e Per liter) or ton of carbon dioxide equivalent per megawatt hour (tCO) 2 /MWh)。
For example, raw material single-batch transportation mileage, energy consumption type, unit energy consumption, single-batch transportation number and other raw material transportation links should have a substantial influence on the calculation of the carbon footprint. The raw material single-batch transportation mileage, the unit energy consumption and the single-batch transportation number can be obtained according to the statistical average value of a plurality of purchase orders. There are various mixed transportation situations of raw materials, and the raw materials should be distributed according to the transportation weight.
Exemplary, third carbon footprint E 3 The calculation formula of (2) is as follows:
wherein the third carbon footprint E 3 Represents the total amount of carbon dioxide emissions generated in the production process of the product, and the unit is ton carbon dioxide equivalent (tCO) 2e )；AD n The n-th energy consumption in the production link of the product is expressed in liters (L) or tons (t) or megawatt hours (MWh); n represents the number of types of energy sources; EF (electric F) n Represents the emission factor of the nth energy source in the production link of the product, the unit is ton carbon dioxide equivalent per liter (tCO) 2e Per liter) or ton of carbon dioxide equivalent per megawatt hour (tCO) 2 /MWh)。
The carbon footprint of the production link mainly comes from the production and manufacturing process of the conductive wire, including carbon dioxide emission generated by the combustion of fossil fuel and the consumption of electricity.
Exemplary, fourth carbon footprint E 4 The calculation formula of (2) is as follows:
wherein the fourth carbon footprint E 4 Represents the total amount of carbon dioxide emissions generated in the product transportation link, expressed in tons of carbon dioxide equivalent (tCO) 2e )；AD m Representing the consumption of the mth energy source in the product transportation link, wherein the unit is liter (L) or ton (t) or megawatt hour (MWh); m represents the number of types of energy sources; EF (electric F) m Represents the emission factor of the mth energy source in the product transportation link, the unit is ton carbon dioxide equivalent per liter (tCO) 2e Per liter) or ton of carbon dioxide equivalent per megawatt hour (tCO) 2 /MWh)。
Exemplary, fifth carbon footprint E 5 The calculation formula of (2) is as follows:
wherein the fifth carbon footprint E 5 Represents the total amount of carbon dioxide emission generated in the using link of the product, and the unit is ton carbon dioxide equivalent (tCO 2e )；AD p The consumption of the p-th energy source in the product using link is expressed in units of liter (L) or ton (t) or megawatt hour (MWh); p represents the number of types of energy sources; EF (electric F) p Represents the emission factor of the p-th energy source in the product using link, and the unit is ton carbon dioxide equivalent per liter (tCO 2e Per liter) or ton of carbon dioxide equivalent per megawatt hour (tCO) 2 /MWh)。
Exemplary, sixth carbonFootprint E 6 The calculation formula of (2) is as follows:
wherein, the sixth carbon footprint E 6 Represents the total amount of carbon dioxide emission generated in the using link of the product, and the unit is ton carbon dioxide equivalent (tCO 2e )；AD q The q-th energy consumption in the product using link is expressed in terms of liter (L) or ton (t) or megawatt hour (MWh); q represents the number of types of energy sources; EF (electric F) q Represents the emission factor of the q-th energy source in the product using link, and the unit is ton carbon dioxide equivalent per liter (tCO 2e Per liter) or ton of carbon dioxide equivalent per megawatt hour (tCO) 2 /MWh)。
The current carbon footprint E of the target supplier is calculated as:
E＝E 1 +E 2 +E 3 +E 4 +E 5 +E 6 (7)
illustratively, the emission factors of the raw material acquisition link, the raw material transportation link, the product production link, the product transportation link, the product use link and the product recovery link preferably select the energy emission factors which are actually measured and calculated, and then select data in widely accepted databases, such as published 24 industry enterprise greenhouse gas emission accounting methods and general emission factor libraries such as report guidelines, IPCC, CLCD databases, emission Factor Database, EPA and the like.
By way of example, according to the embodiment, the accurate carbon footprint of the target provider is calculated through the carbon footprint related data of the accurate target provider in the alliance chain, the accounting mode of the carbon footprint is unified, and the evaluation of the carbon footprint of the subsequent target provider is padded, so that the evaluation accuracy is improved.
Step 103, determining an evaluation result of the target supplier based on the current carbon footprint of the target supplier.
And setting expected values for the carbon footprints of all suppliers, mutually assigning low-carbon fees from the total fees by enterprises and the suppliers according to a certain proportion, evaluating the target suppliers according to the completion condition of the expected carbon footprints in the whole life cycle process of a supply chain, and settling the low-carbon fees according to the evaluation results.
Illustratively, determining the target supplier's assessment results based on the target supplier's current carbon footprint includes: the desired carbon footprint of the target supplier is obtained. A difference between the current carbon footprint and the desired carbon footprint of the target supplier is determined, and an evaluation result of the target supplier is determined based on the difference.
Illustratively, determining the target provider's evaluation result based on the difference value includes:
when the difference is not more than 0, the evaluation result of the target provider is full score.
When the difference is greater than 0, the calculation formula of the evaluation result P of the target provider is:
wherein,for the desired carbon footprint, E is the current carbon footprint of the target supplier, +.>K is the above-mentioned full fraction and may be generally 100.
In one embodiment, the above settlement process is completed through a federation chain, and the green low-carbon provider evaluation method further includes: uploading the carbon footprint of the target supplier to the alliance chain as the current carbon footprint of the target supplier; and uploading the evaluation result of the target provider to the alliance chain as the current evaluation result of the target provider.
When the enterprise or the client of the supplier is used as a request node to initiate the evaluation request of the target supplier, the current evaluation result of the target supplier is obtained from the alliance chain, contract transaction information is formed based on the queried current evaluation result of the target supplier and transaction rules, the contract transaction information is verified based on the intelligent contract, and the transaction amount is cleared.
Wherein the transaction rules include low carbon fees and low carbon fee settlement percentages. Wherein, by converting the evaluation result P into a low carbon cost settlement percentage P%.
Illustratively, forming contract transaction information based on the queried current evaluation results of the target suppliers and the transaction rules, including: and selecting a low-carbon expense settlement percentage based on the queried current evaluation result of the target provider. Contract transaction information is formed based on the low carbon cost settlement percentage and the low carbon cost.
When the difference between the current carbon footprint and the expected carbon footprint of the target provider is not more than 0, the enterprise settles all the low-carbon fees to the target provider when the evaluation result of the target provider is full. When the difference between the current carbon footprint and the expected carbon footprint of the target supplier is greater than 0, a part of the low-carbon cost is settled according to the evaluation result P of the target supplier:
Y＝X×P％(9)
wherein Y is the low carbon cost of settlement, and X is the total low carbon cost.
In general, the current carbon footprint of the target provider does not exceed 2 times of the expected carbon footprint, and if the current carbon footprint of the target provider is greater than or equal to 2 times of the expected carbon footprint, and the evaluation result of the target provider is zero score, the target provider cannot obtain low carbon cost.
Each node is correspondingly provided with a target account book, the target account book can store transaction result data generated after the related nodes in the alliance chain execute contract transaction information, and each node can acquire or store the transaction result data from the target account book. For example, enterprise a obtains or stores transaction result data from target ledger a, provider B obtains or stores transaction result data from target ledger B, and logistics company C obtains or stores transaction result data from target ledger C. After the current node of the system receives the consensus processing request for all nodes in the coalition chain network, the consensus processing request is used for indicating to perform consensus processing on the constraint transaction information.
The request node initiates an evaluation request of a target provider in a alliance chain, meanwhile, a certain fee is transferred to the evaluation intelligent contract address of the decentralised equipment provider as a guarantee to prevent false requests, and a credit value of the request node is provided for the request node, and when the transaction is completed, the fee is returned to the request node.
For example, when the target provider initiates the evaluation request after the life cycle of the one-time supply chain is finished, the alliance chain settles the low-carbon expense to the target provider, and the enterprise can initiate the evaluation request and actively settle the low-carbon expense to the target provider.
If the evaluation result of the target provider is higher, the enterprise and the provider can cooperate next time, and the low-carbon expense of the cooperation again is put into the intelligent contract to evaluate and settle accounts according to the process.
If the evaluation result of the target provider is low, the enterprise selects another provider for next cooperation, and the other provider is incorporated into the nodes of the alliance chain.
According to the green low-carbon supplier evaluation method in the embodiment, the traceability of the data related to the carbon footprint in the product supply chain can be ensured by uploading the data related to the carbon footprint to the alliance chain, the carbon footprint is calculated through the data related to the carbon footprint in the alliance chain, the calculation standard of the carbon footprint is unified, and the false report of the carbon footprint of the supplier is avoided. The non-tamperability and the time stamping capability of the blockchain on the data storage scene provide a powerful tool for tracing and anti-counterfeiting of the data related to the carbon footprint.
The essence of the blockchain is that a plurality of nodes participate in recording data together, so that actions such as data tampering caused by single-node cheating are avoided. Meanwhile, the method adopts a alliance chain form in the blockchain, protects the privacy of footprint related data of each supplier carbon, improves the importance of green low carbon on evaluating suppliers, promotes the suppliers to realize carbon reduction in the fields of energy conservation, emission reduction, green environmental protection and the like, and provides a reference effect for the selection of the suppliers in the power market.
It should be understood that the sequence number of each step does not mean the sequence of execution, and the execution sequence of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present application.
Corresponding to the green low-carbon supplier evaluation method of the above embodiment, fig. 3 shows a block diagram of the green low-carbon supplier evaluation apparatus provided in the embodiment of the present application, and for convenience of explanation, only the portion related to the embodiment of the present application is shown.
Referring to fig. 3, the green low-carbon supplier evaluation device in the embodiment of the present application may include a data acquisition module 201, a carbon footprint calculation module 202, and an evaluation module 203.
The data acquisition module 201 is configured to acquire carbon footprint related data of a current target provider from a coalition chain; the carbon footprint related data is uploaded to the alliance chain by clients of multiple participants on the same supply chain;
A carbon footprint calculation module 202 for calculating a current carbon footprint of the target provider based on the carbon footprint related data of the current target provider;
and an evaluation module 203 for determining an evaluation result of the target supplier based on the current carbon footprint of the target supplier.
It should be noted that, because the content of information interaction and execution process between the devices is based on the same concept as the method embodiment of the present application, specific functions and technical effects thereof may be referred to in the method embodiment section, and will not be described herein again.
It will be apparent to those skilled in the art that, for convenience and brevity of description, only the above-described division of the functional units and modules is illustrated, and in practical application, the above-described functional distribution may be performed by different functional units and modules according to needs, i.e. the internal structure of the apparatus is divided into different functional units or modules to perform all or part of the above-described functions. The functional units and modules in the embodiment may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit, where the integrated units may be implemented in a form of hardware or a form of a software functional unit. In addition, specific names of the functional units and modules are only for convenience of distinguishing from each other, and are not used for limiting the protection scope of the present application. The specific working process of the units and modules in the above system may refer to the corresponding process in the foregoing method embodiment, which is not described herein again.
The embodiment of the present application further provides a terminal device, referring to fig. 4, the terminal device 300 may include: at least one processor 310 and a memory 320, the memory 320 storing a computer program executable on the at least one processor 310, the processor 310 implementing the steps of any of the various method embodiments described above, such as steps 101 through 103 in the embodiment shown in fig. 1, when the computer program is executed by the processor 310. Alternatively, the processor 310 may perform the functions of the modules/units in the above-described apparatus embodiments, such as the functions of the modules 201 to 203 shown in fig. 3, when executing a computer program.
By way of example, a computer program may be partitioned into one or more modules/units that are stored in memory 320 and executed by processor 310 to complete the present application. One or more of the modules/units may be a series of computer program segments capable of performing specific functions for describing the execution of the computer program in the terminal device 300.
It will be appreciated by those skilled in the art that fig. 4 is merely an example of a terminal device and is not limiting of the terminal device, and may include more or fewer components than shown, or may combine certain components, or different components, such as input-output devices, network access devices, buses, etc.
The processor 310 may be a central processing unit (Central Processing Unit, CPU), but may also be other general purpose processors, digital signal processors (Digital Signal Processor, DSP), application specific integrated circuits (Application Specific Integrated Circuit, ASIC), off-the-shelf programmable gate arrays (Field-Programmable Gate Array, FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, or the like. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
The memory 320 may be an internal storage unit of the terminal device, or may be an external storage device of the terminal device, such as a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash Card (Flash Card), or the like. The memory 320 is used to store computer programs and other programs and data required for the terminal device. The memory 320 may also be used to temporarily store data that has been output or is to be output.
The bus may be an industry standard architecture (Industry Standard Architecture, ISA) bus, an external device interconnect (Peripheral Component, PCI) bus, or an extended industry standard architecture (Extended Industry Standard Architecture, EISA) bus, among others. The buses may be divided into address buses, data buses, control buses, etc. For ease of illustration, the buses in the drawings of the present application are not limited to only one bus or one type of bus.
The green low-carbon provider evaluation method provided by the embodiment of the application can be applied to terminal equipment such as computers, tablet computers, notebook computers, netbooks, personal digital assistants (personal digital assistant, PDA) and the like, and the specific type of the terminal equipment is not limited.
The embodiments of the present application also provide a computer readable storage medium storing a computer program, which when executed by a processor, implements the steps of the embodiments of the green low-carbon provider evaluation method described above.
Embodiments of the present application provide a computer program product that, when run on a mobile terminal, causes the mobile terminal to perform steps that enable the various embodiments of the green low-carbon vendor evaluation method described above to be implemented.
The integrated units, if implemented in the form of software functional units and sold or used as stand-alone products, may be stored in a computer readable storage medium. Based on such understanding, the present application implements all or part of the flow of the method of the above embodiments, and may be implemented by a computer program to instruct related hardware, where the computer program may be stored in a computer readable storage medium, where the computer program, when executed by a processor, may implement the steps of each of the method embodiments described above. Wherein the computer program comprises computer program code, which may be in the form of source code, object code, executable files or in some intermediate form, etc. The computer readable medium may include at least: any entity or device capable of carrying computer program code to a photographing device/terminal apparatus, recording medium, computer Memory, read-Only Memory (ROM), random access Memory (RAM, random Access Memory), electrical carrier signals, telecommunications signals, and software distribution media. Such as a U-disk, removable hard disk, magnetic or optical disk, etc.
In the foregoing embodiments, the descriptions of the embodiments are emphasized, and in part, not described or illustrated in any particular embodiment, reference is made to the related descriptions of other embodiments.
Those of ordinary skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.
In the embodiments provided in the present application, it should be understood that the disclosed apparatus/network device and method may be implemented in other manners. For example, the apparatus/network device embodiments described above are merely illustrative, e.g., the division of modules or elements is merely a logical functional division, and there may be additional divisions when actually implemented, e.g., multiple elements or components may be combined or integrated into another system, or some features may be omitted, or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed may be an indirect coupling or communication connection via interfaces, devices or units, which may be in electrical, mechanical or other forms.
The units described as separate units may or may not be physically separate, and units shown as units may or may not be physical units, may be located in one place, or may be distributed over a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
The above embodiments are only for illustrating the technical solution of the present application, and are not limiting thereof; although the present application has been described in detail with reference to the foregoing embodiments, it should be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit and scope of the technical solutions of the embodiments of the present application, and are intended to be included in the scope of the present application.
Claims (10)
1. A green low-carbon supplier evaluation method, comprising:
acquiring current carbon footprint related data of a target provider from a alliance chain; the current carbon footprint related data is uploaded to the alliance chain by clients of a plurality of participants on the same supply chain;
Calculating a current carbon footprint of the target provider based on the current carbon footprint related data of the target provider;
and determining an evaluation result of the target provider based on the current carbon footprint of the target provider.
2. The green low-carbon supplier evaluation method according to claim 1, wherein the obtaining carbon footprint related data of the current target supplier from the alliance chain comprises:
initiating a request to the federation chain to acquire data of a target provider; the request to obtain data of a target provider includes a unique identifier of the target provider; each participant carries a unique identifier of the target provider when uploading the carbon footprint related data of the target provider;
current carbon footprint related data for the target supplier stored in the coalition chain is obtained based on the unique identifier of the target supplier.
3. The green low-carbon supplier evaluation method according to claim 1, wherein the carbon footprint related data of the current target supplier includes consumption of raw materials, consumption of energy during raw material transportation, consumption of energy during production and manufacturing, consumption of energy during product transportation, consumption of energy during product use, and consumption of energy during product recovery;
Calculating the current carbon footprint of the target provider based on the carbon footprint related data of the current target provider, comprising:
calculating a first carbon footprint of a raw material acquisition link based on the consumption of the raw material;
calculating a second carbon footprint of the raw material transportation link based on the energy consumption of the raw material transportation process;
calculating a third carbon footprint of a production link of the product based on the energy consumption in the production manufacturing process;
calculating a fourth carbon footprint of a product transportation link based on the energy consumption of the product transportation process;
calculating a fifth carbon footprint of a product use link based on the energy consumption in the product use process;
calculating a sixth carbon footprint of a product recovery link based on the energy consumption in the product recovery process;
a current carbon footprint of the target provider is calculated based on the first carbon footprint, the second carbon footprint, the third carbon footprint, the fourth carbon footprint, the fifth carbon footprint, and the sixth carbon footprint.
4. The green low-carbon supplier evaluation method according to claim 1, wherein the determining the evaluation result of the target supplier based on the current carbon footprint of the target supplier comprises:
Acquiring a desired carbon footprint of the target provider;
determining a difference between the current carbon footprint of the target provider and the desired carbon footprint, and determining an evaluation result of the target provider based on the difference.
5. The green low-carbon supplier evaluation method according to claim 4, wherein the determining the evaluation result of the target supplier based on the difference value includes:
when the difference is not more than 0, the evaluation result of the target provider is full score;
when the difference is greater than 0, the calculation formula of the evaluation result P of the target provider is:
wherein,e is the current carbon footprint of the target supplier and K is the full score.
6. The green low carbon supplier evaluation method according to any one of claims 1 to 5, further comprising:
uploading the carbon footprint of the target provider to the coalition chain as a current carbon footprint of the target provider;
uploading the evaluation result of the target provider to the alliance chain to serve as the current evaluation result of the target provider;
when a request node initiates an evaluation request of the target provider, a current evaluation result of the target provider is obtained from the alliance chain, contract transaction information is formed based on the queried current evaluation result of the target provider and transaction rules, the contract transaction information is verified based on intelligent contracts, and transaction amount is cleared.
7. The green low-carbon supplier evaluation method according to claim 6, wherein the transaction rules include low-carbon fees and low-carbon fee settlement percentages;
forming contract transaction information based on the queried current evaluation result of the target provider and transaction rules, wherein the contract transaction information comprises the following steps:
selecting the low-carbon expense settlement percentage based on the queried current evaluation result of the target provider;
the contract transaction information is formed based on the low carbon charge settlement percentage and the low carbon charge.
8. A green low-carbon supplier evaluation device, comprising:
the data acquisition module is used for acquiring carbon footprint related data of the current target supplier from the alliance chain; the carbon footprint related data is uploaded to the coalition chain by clients of multiple participants on the same supply chain;
a carbon footprint calculation module for calculating a current carbon footprint of the target provider based on the carbon footprint related data of the current target provider;
and the evaluation module is used for determining an evaluation result of the target provider based on the current carbon footprint of the target provider.
9. A terminal device comprising a memory and a processor, the memory having stored thereon a computer program executable on the processor, wherein the processor, when executing the computer program, implements the green low-carbon provider assessment method according to any one of claims 1 to 7.
10. A computer readable storage medium storing a computer program, characterized in that the computer program, when executed by a processor, implements the green low-carbon provider evaluation method according to any one of the preceding claims 1 to 7.
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