CN115375505A - Block chain-based electric carbon data credibility certification generation method - Google Patents
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Abstract
The invention provides a block chain-based electric carbon data credibility certification generation method, which comprises the following steps of: s101, obtaining source-end service data from an external service system, and processing the source-end service data to obtain electric power flow information data; s102, uploading the electric power flow information data to a block chain; s103, acquiring uplink data from the block chain, and calculating green electricity use data, carbon emission reduction data and green electricity consumption data of a user based on the uplink data; and S104, respectively generating a green electricity use certificate, a carbon emission reduction certificate and a green electricity consumption certificate according to the green electricity use data, the carbon emission reduction data and the green electricity consumption data.
Description
Technical Field
The invention relates to the technical field of data credibility certification, in particular to a block chain-based electric carbon data credibility certification generation method.
Background
At present, a barrier exists between a power trading mechanism and a carbon trading mechanism in China, and a smooth coordination mechanism is not formed, so that at a supply end, the two mechanisms can independently provide a channel for acquiring extra environmental rights and interests for a renewable energy power station, and the problem of repeated excitation exists; at the demand end, two markets are completely decoupled to operate, and the performing theme is subjected to double constraints of green electricity consumption and carbon reduction. Because the electric power and the carbon emission are closely related, natural connection also exists between two markets of green electric power transaction and carbon transaction, however, no mature system in the current market can realize effective management of green electric power data and corresponding carbon emission data, and related data for consuming green electric power and reducing carbon emission of an enterprise lack credibility, so that the enterprise lacks the power for active emission reduction, and the carbon supervision difficulty of related governing departments is large.
Disclosure of Invention
In view of this, the invention aims to provide a block chain-based electric carbon data credibility certification generation method, which provides a green electricity use certification and an electric carbon emission reduction certification for a user, enhances the data storage credibility, and reduces the carbon supervision cost of a relevant competent department.
In order to achieve the purpose, the block chain-based electric carbon data credibility certification generation method comprises the following steps:
s101, obtaining source-end service data from an external service system, and processing the source-end service data to obtain electric power flow information data;
s102, uploading the electric power flow information data to a block chain;
s103, acquiring uplink data from the block chain, and calculating green electricity use data, carbon emission reduction data and green electricity consumption data of a user based on the uplink data;
and S104, respectively generating a green electricity use certificate, a carbon emission reduction certificate and a green electricity consumption certificate according to the green electricity use data, the carbon emission reduction data and the green electricity consumption data.
Further, the step S101 specifically includes the following steps:
s201, adapting and connecting with an interface of an external service system, and acquiring source end service data through the interface;
s202, according to the type of the obtained source end service data, inputting the source end service data into a corresponding preset algorithm for calculation, and obtaining corresponding electric power flow information data.
Furthermore, the external service system comprises an electric power data center station and an electric power transaction platform, the electric power company data center station is respectively connected with the user electricity consumption information acquisition system and the electric power marketing system, and the source end service data comprises electricity consumption customer information, daily freezing electricity consumption information, enterprise consumption electric quantity information, electric charge settlement information and electric quantity transaction information.
Further, in step S103, calculating carbon emission reduction data specifically includes: and establishing an electric-carbon conversion model based on an intelligent contract of the block chain, taking uplink data of the block chain as a model variable, and calculating carbon emission reduction data of the user through the electric-carbon conversion model by combining the electric carbon emission factor and other types of energy variables submitted by the user.
Further, the method for calculating the carbon emission reduction data of the user through the electric carbon conversion model specifically comprises the following steps:
s301, judging whether a preset triggering condition is met, if so, further judging whether a preset response rule is met, and if so, triggering an intelligent contract;
s302, executing an intelligent contract to acquire uplink data of a block chain, electric power carbon emission factors and other types of energy variables submitted by a user, and calculating carbon emission reduction data of the user;
and S303, pushing the calculation result of the carbon emission reduction data output by the intelligent contract to a to-be-verified queue, and sequentially diffusing the calculation result in the to-be-verified queue to each node of the block chain for signature verification.
Further, in step S103, the calculating of the green power consumption data specifically includes the following steps:
s401, uplink data of the block chain are analyzed, and power generation related data, load related data and transaction related data of a user are obtained;
s402, calculating green electricity consumption data of the user based on the electricity generation related data, the load related data and the transaction related data of the user.
Further, in step S104, the green electricity usage data, the carbon emission reduction data, and the green electricity consumption data are input into a certification generator to generate corresponding certification, and the certification generator specifically generates the certification and includes the following steps:
s501, generating a certification page which can only be accessed through the exclusive link, wherein the certification page comprises certification content;
s502, generating an original two-dimensional code stored with an exclusive link address;
s503, historical power flow information data of the user are obtained through the block chain, the original two-dimensional code is reconstructed based on the historical power full-flow information data of the user, and the reconstructed two-dimensional code is used as a proving two-dimensional code.
Further, reconstructing the original two-dimensional code based on historical power flow information data of the user specifically includes the following steps:
s601, selecting a certain type of data in historical electric power flow information data of a user, drawing a change trend curve of the selected data, calculating curvatures of all points on the change trend curve, and taking median values of the curvatures of all points as curvature calculation results;
s602, selecting a corresponding reconstruction mode from a reconstruction mode set according to a numerical value interval corresponding to a curvature calculation result;
and S603, reconstructing the original two-dimensional code according to the selected reconstruction mode.
Further, uploading the power flow information data to the block chain specifically includes the following steps:
s701, generating an encryption key based on the biological characteristic information and the identification characteristic information of the user;
s702, encrypting the data to be uplink by an encryption key;
s703, adding the encrypted data to be uplink into the block, and uploading the block to a block chain.
Further, generating an encryption key based on the biometric information and the identification feature information of the user specifically includes the following steps:
s801, acquiring a user biological characteristic image, carrying out point location marking on a characteristic part of the user biological characteristic image, comparing the user biological characteristic image subjected to point location marking with a biological characteristic image with a standard point location, and calculating to obtain a point location deviation value;
s802, segmenting the identification characteristic information into a plurality of sections of short characteristic information, determining target short characteristic information to be moved according to a numerical value interval corresponding to a curvature calculation result, and moving the position of the target short characteristic information in the identification characteristic information according to a point offset value to obtain processed identification characteristic information;
s803, inputting the processed identification feature information serving as a parameter into a preset key generation algorithm to obtain a key pair comprising a public key and a private key;
s804, the private key in the key pair is sent to the encryption submodule, and the public key is sent to the user.
Compared with the prior art, the invention has the beneficial effects that:
the invention provides a block chain-based electric carbon data credibility certification generation method, which comprises the steps of obtaining source end business data from an external business system, processing the source end business data to obtain electric power flow information data, uploading the electric power full-flow information data to a block chain through a data uplink module, protecting the electric power flow information data based on the characteristic that the uplink data of the block chain is difficult to tamper, further providing green electricity use certification, carbon emission reduction certification and green electricity consumption certification based on the uplink data, providing an effective endorsement for an enterprise, realizing data credibility storage certification, providing technical support for work such as energy double control of a department in charge, energy saving and emission reduction, enterprise carbon consumption index rating and the like, providing accurate guidance for energy saving and emission reduction, and providing quantitative support for targets of carbon peak-carbon neutralization and quantitative support.
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In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the description of the embodiments will be briefly introduced below, and it is apparent that the drawings in the following description are only preferred embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained based on these drawings without inventive efforts.
Fig. 1 is a schematic overall flowchart of a block chain-based method for generating trusted evidence of electrical carbon data according to an embodiment of the present invention.
Fig. 2 is a schematic diagram of a source end service data acquisition process according to an embodiment of the present invention.
Fig. 3 is a schematic flow chart of the calculation of carbon emission reduction data by the electrical carbon conversion model according to an embodiment of the present invention.
Fig. 4 is a schematic diagram of a calculation flow of green power consumption data according to an embodiment of the present invention.
FIG. 5 is a diagram illustrating a proof generator generating proof flow according to an embodiment of the present invention.
Fig. 6 is a schematic flowchart of original two-dimensional code reconstruction according to an embodiment of the present invention.
Fig. 7 is a schematic diagram of a power flow information uplink flow according to an embodiment of the present invention.
Fig. 8 is a schematic diagram of an encryption key generation flow according to an embodiment of the present invention.
Detailed Description
The principles and features of this invention are described below in conjunction with the following drawings, the illustrated embodiments are provided to illustrate the invention and not to limit the scope of the invention.
Referring to fig. 1, the present embodiment provides a block chain-based method for generating trustworthy credentials of electrical carbon data, where the method includes the following steps:
s101, obtaining source-end service data from an external service system, and processing the source-end service data to obtain electric power flow information data.
Illustratively, the external business system comprises an electric power company data center station and an electric power transaction platform, the electric power company data center station is respectively connected with the user electricity consumption information acquisition system and the electric power marketing system, and the source end business data comprises electricity consumption customer information, daily freezing electricity consumption information, enterprise consumption electric quantity information, electric charge settlement information and electric quantity transaction information. The daily freezing power utilization information can be acquired from a user power utilization information acquisition system by a data center of a power company; the electric power company data center station can provide the information of the electricity consumption customer and the information of the settlement of the electricity charge; the enterprise consumption electric quantity information can be acquired from the electric power marketing system; the electric quantity transaction information can be acquired through the electric power transaction platform.
And S102, uploading the power flow information data to a block chain.
S103, uplink data are obtained from the block chain, and green electricity use data, carbon emission reduction data and green electricity consumption data of the user are calculated based on the uplink data.
And S104, respectively generating a green electricity use certificate, a carbon emission reduction certificate and a green electricity consumption certificate according to the green electricity use data, the carbon emission reduction data and the green electricity consumption data.
Referring to fig. 2, the step S101 specifically includes the following steps:
s201, adapting and connecting with an interface of an external service system, and acquiring source end service data through the interface.
S202, inputting the source end service data into a corresponding preset algorithm for calculation according to the type of the obtained source end service data, and obtaining corresponding electric power flow information data. Illustratively, the power flow information data includes source-end power generation related data, load related data, transaction related data, customer power consumption data, electric quantity settlement information data, non-electric energy information, and the like.
In step S103, the calculating of the carbon emission reduction data specifically includes: and establishing an electric-carbon conversion model based on an intelligent contract of the block chain, taking uplink data of the block chain as a model variable, and calculating carbon emission reduction data of the user through the electric-carbon conversion model by combining the electric power carbon emission factor and other types of energy variables submitted by the user.
Referring to fig. 3, the method for calculating the carbon emission reduction data of the user through the electric-carbon conversion model specifically comprises the following steps:
s301, judging whether a preset trigger condition is met, if so, further judging whether a preset response rule is met, and if so, triggering an intelligent contract. For example, the preset triggering condition may be to determine whether the electrical-carbon conversion module receives model service data, such as green electricity consumption data and other types of energy consumption data, and if the model service data is received, determine that the preset triggering condition is satisfied. The preset response rules may be monthly triggers or time-specified triggers.
S302, executing an intelligent contract to acquire uplink data of the block chain, electric power carbon emission factors and other types of energy variables submitted by the user, and calculating carbon emission reduction data of the user.
And S303, pushing the carbon emission reduction data calculation results output by the intelligent contract to a queue to be verified, and sequentially diffusing the calculation results in the queue to be verified to each node of the block chain for signature verification.
Referring to fig. 4, in step S103, the calculating of the green power consumption data specifically includes the following steps:
s401, uplink data of the block chain are analyzed, and power generation related data, load related data and transaction related data of a user are obtained.
S402, calculating green electricity consumption data of the user based on the electricity generation related data, the load related data and the transaction related data of the user.
As a preferred example, referring to fig. 5, the present embodiment certifies authenticity of respective data by inputting green electricity usage data, carbon emission reduction data, or green electricity consumption data into a certification generator to generate respective certifications, different types of certifications corresponding to respective types of data. The generation of the proof by the proof generator comprises in particular the following steps:
s501, generating a certification page which can only be accessed through the exclusive link, wherein the certification page comprises certification content.
And S502, generating an original two-dimensional code stored with the exclusive link address. In this embodiment, the exclusive link address that can jump to the certification page can be obtained only by analyzing the original two-dimensional code.
S503, historical power flow information data of the user are obtained through the block chain, the original two-dimensional code is reconstructed based on the historical power full-flow information data of the user, and the reconstructed two-dimensional code is used as a proving two-dimensional code.
Referring to fig. 6, reconstructing the original two-dimensional code based on historical power flow information data of a user specifically includes the following steps:
s601, selecting a certain type of data in the historical electric power full-flow information data of the user, drawing a change trend curve of the selected data, calculating the curvature of each point on the change trend curve, and taking the median of the curvature of each point as a curvature calculation result. For example, the selection of a certain type of data in the historical power flow information data of the user may be random selection or user specification.
S602, selecting a corresponding reconstruction mode from the reconstruction mode set according to the numerical value interval corresponding to the curvature calculation result. In this embodiment, a plurality of reconstruction modes are preset, and different reconstruction modes represent different reconstruction operations, such as mirror inversion, axisymmetric inversion, and the like, performed on an image of an original two-dimensional code. In this embodiment, the interval from the minimum value to the maximum value, which may occur in the curvature calculation result, is divided into a plurality of small intervals of the same number according to the total number of the reconstruction modes, and the reconstruction mode is determined according to the sequence of the intervals in which the curvature calculation result is located, for example, when the curvature calculation result is in the 3 rd interval, the 3 rd reconstruction mode is selected.
And S603, reconstructing the original two-dimensional code according to the selected reconstruction mode.
In this embodiment, the original two-dimensional code in which the proving page link address is stored is reconstructed according to the historical power flow data change trend of the user. When the reconstructed two-dimensional code is obtained by others, the correct original two-dimensional code cannot be restored without knowing the corresponding reconstruction mode, and the safety of the proof content can be improved.
As a preferred example, referring to fig. 7, uploading the power flow information data to the blockchain specifically includes the following steps:
s701, generating an encryption key based on the biological characteristic information and the identification characteristic information of the user.
S702, encrypting the data to be uplink by the encryption key.
And S703, adding the encrypted data to be linked into the block, and uploading the block to a block chain.
Referring to fig. 8, generating an encryption key based on the biometric information and the identification feature information of the user specifically includes the following steps:
s801, acquiring a user biological characteristic image, carrying out point location marking on a characteristic part of the user biological characteristic image, comparing the user biological characteristic image with the point location marking, and calculating to obtain a point location deviation value. For example, the user biometric image may be a face image or a fingerprint image of the user. Taking a face image as an example, the feature may be five sense organs of the face. The biometric image with the standard point locations is a template image special for comparison, wherein the number of the standard point locations is consistent with that of the point locations in the user feature image, offset values of a plurality of point locations are obtained by sequentially calculating offset values of two point location coordinates corresponding to the same feature location in the two images, and the finally output point location offset value can be an average value of the offset values of the plurality of point locations.
S802, the identification characteristic information is segmented into a plurality of sections of short characteristic information, target short characteristic information to be moved is determined according to a numerical value interval corresponding to a curvature calculation result, and the position of the target short characteristic information in the identification characteristic information is moved according to a point offset value to obtain the processed identification characteristic information. For example, when the dot offset value is 2, the position of the target short feature information in the identification feature information is shifted to the right by two positions, and when the position of the target short feature information on the right side in the identification feature information is less than two positions, the point offset value is extrapolated from the left side of the identification feature information.
And S803, inputting the processed identification characteristic information serving as a parameter into a preset key generation algorithm to obtain a key pair comprising a public key and a private key.
S804, the private key in the key pair is sent to the encryption submodule, and the public key is sent to the user.
In this embodiment, the identification feature information of the user is deformed based on the point location offset between the user biometric image and the standard biometric image, and the processed identification feature information is used as an input parameter of a key generation algorithm to generate a key, so as to encrypt the uplink data, thereby improving the security of the uplink data.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and should not be taken as limiting the scope of the present invention, which is intended to cover any modifications, equivalents, improvements, etc. within the spirit and scope of the present invention.
Claims (10)
1. A block chain-based electric carbon data credibility certification generation method is characterized by comprising the following steps:
s101, obtaining source end service data from an external service system, and processing the source end service data to obtain electric power flow information data;
s102, uploading the electric power flow information data to a block chain;
s103, uplink data are obtained from the block chain, and green electricity use data, carbon emission reduction data and green electricity consumption data of a user are calculated based on the uplink data;
and S104, respectively generating a green electricity use certificate, a carbon emission reduction certificate and a green electricity consumption certificate according to the green electricity use data, the carbon emission reduction data and the green electricity consumption data.
2. The block chain-based electric carbon data credibility certificate generation method according to claim 1, wherein the step S101 specifically comprises the following steps:
s201, adapting and connecting with an interface of an external service system, and acquiring source end service data through the interface;
s202, according to the type of the obtained source end service data, inputting the source end service data into a corresponding preset algorithm for calculation, and obtaining corresponding electric power flow information data.
3. The block chain-based electric carbon data credibility certificate generation method according to claim 1, wherein the external business system comprises an electric power data center station and an electric power transaction platform, the electric power company data center station is respectively connected with a user electricity consumption information acquisition system and an electric power marketing system, and the source end business data comprises electricity consumption customer information, daily freezing electricity consumption information, enterprise consumption electric quantity information, electric charge settlement information and electric quantity transaction information.
4. The block chain-based electric carbon data credibility certification generating method according to claim 1, wherein in step S103, calculating carbon emission reduction data specifically comprises: and establishing an electric-carbon conversion model based on an intelligent contract of the block chain, taking uplink data of the block chain as a model variable, and calculating carbon emission reduction data of the user through the electric-carbon conversion model by combining the electric power carbon emission factor and other types of energy variables submitted by the user.
5. The block chain-based electric carbon data credibility certification generating method according to claim 4, wherein the user carbon emission reduction data is calculated through an electric carbon conversion model, and the method specifically comprises the following steps:
s301, judging whether a preset trigger condition is met, if so, further judging whether a preset response rule is met, and if so, triggering an intelligent contract;
s302, executing an intelligent contract to acquire uplink data of a block chain, electric power carbon emission factors and other types of energy variables submitted by a user, and calculating carbon emission reduction data of the user;
and S303, pushing the calculation result of the carbon emission reduction data output by the intelligent contract to a to-be-verified queue, and sequentially diffusing the calculation result in the to-be-verified queue to each node of the block chain for signature verification.
6. The block chain-based electric carbon data credibility certificate generation method according to claim 1, wherein in step S103, the calculating green electricity consumption data specifically comprises the following steps:
s401, analyzing uplink data of a block chain, and acquiring power generation related data, load related data and transaction related data of a user;
s402, calculating green electricity consumption data of the user based on the electricity generation related data, the load related data and the transaction related data of the user.
7. The block chain-based electric carbon data credibility certification generating method of claim 1, wherein the step S104 inputs the green electricity usage data, the carbon emission reduction data and the green electricity consumption data into a certification generator to generate corresponding certification, and the certification generator specifically comprises the following steps:
s501, generating a certification page which can only be accessed through the exclusive link, wherein the certification page comprises certification content;
s502, generating an original two-dimensional code stored with an exclusive link address;
s503, historical power flow information data of the user are obtained through the block chain, the original two-dimensional code is reconstructed based on the historical power full-flow information data of the user, and the reconstructed two-dimensional code is used as a certification two-dimensional code.
8. The block chain-based electric carbon data credibility certification generating method according to claim 7, wherein reconstructing an original two-dimensional code based on historical electric power flow information data of a user specifically comprises the following steps:
s601, selecting a certain type of data in historical power flow information data of a user, drawing a change trend curve of the selected data, calculating curvatures of all points on the change trend curve, and taking a median of the curvatures of all points as a curvature calculation result;
s602, selecting a corresponding reconstruction mode from a reconstruction mode set according to a numerical value interval corresponding to a curvature calculation result;
and S603, reconstructing the original two-dimensional code according to the selected reconstruction mode.
9. The block chain-based electric carbon data credibility certification generating method according to claim 8, wherein uploading electric power flow information data to the block chain specifically comprises the following steps:
s701, generating an encryption key based on the biological characteristic information and the identification characteristic information of the user;
s702, encrypting the data to be uplink by an encryption key;
s703, adding the encrypted data to be uplink into the block, and uploading the block to a block chain.
10. The block chain-based electric carbon data credibility certification generating method according to claim 9, wherein the encryption key is generated based on the biometric information and the identification characteristic information of the user, and specifically comprises the following steps:
s801, acquiring a user biological characteristic image, carrying out point location marking on a characteristic part of the user biological characteristic image, comparing the user biological characteristic image subjected to point location marking with a biological characteristic image with a standard point location, and calculating to obtain a point location deviation value;
s802, segmenting the identification characteristic information into a plurality of sections of short characteristic information, determining target short characteristic information to be moved according to a numerical value interval corresponding to a curvature calculation result, and moving the position of the target short characteristic information in the identification characteristic information according to a point offset value to obtain processed identification characteristic information;
s803, inputting the processed identification characteristic information serving as a parameter into a preset key generation algorithm to obtain a key pair comprising a public key and a private key;
s804, the private key in the key pair is sent to the encryption submodule, and the public key is sent to the user.
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