CN114612114A - System, method, device and medium for evaluating trusted dual-carbon service based on block chain - Google Patents
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Abstract
The embodiment of the invention discloses a block chain-based trusted dual-carbon service evaluation system, a method, equipment and a medium, wherein the trusted dual-carbon service evaluation system is arranged at a target enterprise terminal and comprises the following steps: the metering terminal is used for acquiring carbon behavior data of a target enterprise, the data input end of the metering terminal is connected with the Internet of things equipment at the tail end of the target enterprise, and the data output end of the metering terminal is connected with the data input end of the service matching unit; the service matching unit is used for receiving the carbon behavior data output by the metering terminal and matching service types for the carbon behavior data; the intelligent service unit is used for receiving the carbon behavior data and the service type and converting the carbon behavior data into carbon emission data through an intelligent contract deployed in a block chain; and the data statistics unit is used for performing cross validation of the super emission early warning and the carbon check according to the carbon emission data.
Description
Technical Field
The present invention relates to the field of carbon emissions. And more particularly, to a system, a method, a device, and a medium for evaluating a trusted dual-carbon service based on a block chain.
Background
The industry accounts for more than 30 percent of the total carbon emission of the whole society, and is the key industry for reducing carbon. The successive action scheme of units at all levels promotes clean energy, low-carbon production and green life, and the important direction of domestic and overseas research is to ensure the implementation of low-carbon landing through an information system device.
The national carbon market starts online transaction, and at present, a quota allocation method adopted by the national carbon market in the power generation industry is an industry standard method, and whether the quota allocation method is effective depends on the authenticity, accuracy and integrity of facility emission data of key emission units to a great extent. Data quality is the lifeline of the carbon market and is critical to ensure efficient operation of the carbon market nationwide. Before the carbon emission right transaction link, the carbon emission amount of an enterprise needs to pass through an MRV process. The MRV system mainly comprises three parts of Measurement (Measurement), report (Reporting) and Verification (Verification). Enterprise customers pay special attention to data privacy, prevent data leakage and can obtain high-quality and accurate checking conclusion, which is not only a requirement for carbon checking, but also facilitates enterprise internal management.
Disclosure of Invention
The invention aims to provide a system, a method, equipment and a medium for evaluating a trusted dual-carbon service based on a block chain, so as to solve at least one of the problems in the prior art.
In order to achieve the purpose, the invention adopts the following technical scheme:
the first aspect of the present invention provides a block chain-based trusted dual-carbon service evaluation system, where the trusted dual-carbon service evaluation system is arranged at a target enterprise side, and the system includes:
the metering terminal is used for acquiring carbon behavior data of a target enterprise, the data input end of the metering terminal is connected with the Internet of things equipment at the tail end of the target enterprise, and the data output end of the metering terminal is connected with the data input end of the service matching unit;
the service matching unit is used for receiving the carbon behavior data output by the metering terminal and matching service types for the carbon behavior data;
the intelligent service unit is used for receiving the carbon behavior data and the service type and converting the carbon behavior data into carbon emission data through an intelligent contract deployed in a block chain;
and the data statistics unit is used for performing cross validation of the super emission early warning and the carbon check according to the carbon emission data.
Further, the system further comprises:
the clock management unit is used for providing timestamp service and adding time points for the carbon emission data;
the resource management unit is used for storing the carbon behavior data and the carbon emission data;
the data communication unit provides a data communication protocol of a bottom layer so as to realize data transmission among all nodes;
and the block chain unit is used for providing the block chain related services.
Further, the block chain unit includes:
and the public and private key management unit is used for managing the public key, the private key and the secret key of each node in the block chain.
Further, the block chain unit further includes:
and the node management unit is used for managing the up-down line of the nodes in the block chain sharing platform and configuring identification IDs for all carbon emission units.
Further, the performing of the early warning of the excessive emission according to the carbon emission data includes:
and the data statistics unit is used for counting the carbon emission data, regularly comparing the carbon emission data with the emission limit reference value of the target enterprise, and performing over-emission early warning according to the comparison result.
The second aspect of the present invention provides a block chain-based trusted dual-carbon service evaluation method, including:
acquiring carbon behavior data of a target enterprise based on a metering terminal arranged at an enterprise end;
according to the service type matched with the carbon behavior data;
converting the carbon behavior data into carbon emission data according to the carbon behavior data, the service type and an intelligent contract deployed on a block chain;
and performing cross validation of over emission early warning and carbon check according to the carbon emission data.
Further, while acquiring carbon behavior data of a target enterprise, configuring public and private key identities for the target enterprise, and recording the carbon behavior data by combining a block chain.
Further, the performing of the early warning of the excessive emission according to the carbon emission data includes:
counting the carbon emission data of the target enterprise, regularly comparing the carbon emission data of the target enterprise with the emission limit reference value of the target enterprise, if the carbon emission data is larger than the emission limit reference value of the target enterprise, performing early warning, specifically,
the periodicity may be weekly or daily.
A third aspect of the present invention provides a computer device, which includes a memory, a processor, and a computer program stored in the memory and executable on the processor, and when the processor executes the computer program, the processor implements the block chain-based trusted dual-carbon service evaluation method provided in the second aspect of the present invention.
A fourth aspect of the present invention provides a computer-readable storage medium, on which a computer program is stored, which, when executed by a processor, implements the block chain-based trusted dual-carbon service evaluation method provided by the second aspect of the present invention.
The invention has the following beneficial effects:
according to the scheme, checked party equipment is used from data acquisition to data processing, data do not need to pass through a third party, privacy of enterprises is protected, data acquisition is directly carried out from enterprise terminals through sinking deployment, and reliability of data sources is guaranteed.
Drawings
The following describes embodiments of the present invention in further detail with reference to the accompanying drawings.
Fig. 1 is a block diagram illustrating a block chain-based trusted dual-carbon service evaluation system according to an embodiment of the present invention;
fig. 2 is a step diagram of a block chain-based trusted dual-carbon service evaluation method according to an embodiment of the present invention;
fig. 3 shows a schematic structural diagram of a computer device for implementing the method provided by the embodiment of the present invention.
Detailed Description
In order to more clearly illustrate the present invention, the present invention is further described below with reference to the following examples and the accompanying drawings. Similar parts in the figures are denoted by the same reference numerals. It is to be understood by persons skilled in the art that the following detailed description is illustrative and not restrictive, and is not to be taken as limiting the scope of the invention.
As shown in fig. 1, an embodiment of the present invention provides a block chain-based trusted dual-carbon service evaluation system, where the trusted dual-carbon service evaluation system is disposed at a target enterprise side, and includes:
a data input end of the metering terminal 101 is connected with an internet of things (IOT) device 100 at the tail end of an enterprise, and is used for acquiring carbon behavior data of a target enterprise, and a data output end of the metering terminal is connected with a data input end of a business matching unit;
a service matching unit 102, configured to receive the carbon behavior data output by the metering terminal and match a service type for the carbon behavior data;
an intelligent service unit 103, configured to receive the carbon behavior data and the service type and convert the carbon behavior data into carbon emission data through an intelligent contract deployed in a blockchain, specifically,
the intelligent service unit 103 converts the carbon behavior data into carbon emission data through a carbon emission calculation and verification rule deployed in an intelligent contract based on the carbon behavior data provided by the metering terminal and the service type provided by the service matching unit;
and the data statistics unit 106 is used for performing cross validation of the carbon emission amount data by means of the carbon emission early warning and carbon check.
In a specific embodiment, the system further comprises:
a blockchain unit 104 for providing blockchain related services;
a resource management unit 105 for storing the carbon behavior data and the carbon emission data;
a clock management unit (not shown in the figure) for providing a time stamp service, adding time points for the carbon emission amount and the carbon behavior data;
and a data communication unit (not shown) for providing an underlying data communication protocol to realize data transmission between the nodes.
In one embodiment, the block chain unit includes:
the public and private key management unit is used for managing a public key, a private key and a secret key of each node in the block chain;
and the node management unit is used for managing the up-down line of the nodes in the block chain sharing platform and configuring identification IDs for all carbon emission units.
In a possible implementation manner, the performing the excess discharge warning according to the carbon emission data includes:
and the data statistics unit is used for counting the carbon emission data, regularly comparing the carbon emission data with the emission limit reference value of the target enterprise, and early warning according to the comparison result.
In a possible implementation manner, while acquiring carbon behavior data of a target enterprise, a metering terminal generates an identifier ID through a node management unit of a block chain unit, configures a public and private key identity for the target enterprise through the public and private key management unit, and uploads the carbon behavior data to the block chain, wherein the carbon behavior data is stored in local terminal equipment, namely a resource management unit, and also stored in the block chain, so that the problems of unreliable dual-carbon data information sources, easy data tampering and difficult data verification in a service scene under a dual-carbon background are solved, integrated tracing of the data information sources and information sinks is realized, the data is more credible, the problem of low efficiency of the traditional technical means is solved, and authority of authentication detection is improved.
In a particular embodiment, the carbon emissions calculation check rules include, but are not limited to, the CCER methodology.
This scheme all uses by the chequered equipment from data acquisition to data processing, and data need not to pass through the third party, has protected the privacy of enterprise, through the disposition that sinks, directly carries out data acquisition from the enterprise end, has guaranteed the reliability of data source.
As shown in fig. 2, an embodiment of the present invention provides a block chain-based trusted dual-carbon service evaluation method, including:
s201: acquiring carbon behavior data of a target enterprise based on a metering terminal arranged at an enterprise end;
s202: according to the service type matched with the carbon behavior data;
s203: converting the carbon behavior data into carbon emission data according to the carbon behavior data, the service type and an intelligent contract deployed on a block chain;
s204: and performing cross validation of over emission early warning and carbon check according to the carbon emission data.
In a possible implementation mode, the reliability of source data is ensured by monitoring the power network of the target enterprise, namely the checked party, through a metering terminal to acquire the carbon behavior data of the target enterprise,
specifically, the power consumption conditions of different power consumption units are obtained by combining the power of each electric appliance with the waveform of the monitoring data, and the power of the power consumption units needs to be collected in advance.
In a specific embodiment, the service type corresponding to the carbon behavior data is obtained through a service matching unit.
In a possible implementation manner, when the carbon behavior data of a target enterprise is acquired through the metering terminal, a public and private key identity is configured for the target enterprise, and the carbon behavior data is recorded in combination with a block chain and is stored in the local terminal device and the block chain, so that the problems that a double-carbon data information source in a business scene under a double-carbon background is unreliable, data is easy to tamper and data checking is difficult are solved, integrated tracing of the data information source and the information sink is realized, the data is more credible, the problem that the efficiency of a traditional technical means is low is solved, and the authority of authentication detection is improved.
In a particular embodiment, the carbon emissions calculation check rules include, but are not limited to, the CCER methodology.
In a specific embodiment, taking fuel power generation as an example, the metering terminal obtains the fuel quantity FC of the fuel sensor corresponding to different fuel power generation devices by detecting the operation of the fuel sensor through waveforms in a power network, and a service private key mapping table and a service data table are formed inside the metering terminal, wherein the service data table records the power consumption data of different power consumption units; the intelligent service unit deploys rule management of carbon emission calculation and check, and calculates carbon emission of fossil fuel for fuel oil power generation through service types matched by the service matching unit and the carbon behavior data, wherein the matched service types are fuel oil types, a fuel oil status heating value NCV in a supplier contract is taken, and activity level data AD (FC) NCV/10 is calculated and obtained6Emission factor EF CC OF 44/12, carbon content per calorific value CC is a default value, carbon oxidation rate OF is a default value, 44/12 is a molecular weight ratio. The carbon emission E ═ AD × EF from fossil fuels. By similar deployment automatic analysis and matching, the intelligent service unit provides an interface updating rule, and records corresponding operation and data fingerprint marks on a chain, so that the problems of easy data tampering and difficult data verification are solved.
In a specific embodiment, the service types are matched according to the carbon behavior data, wherein the service types comprise a fuel oil type, a fuel gas type and a power utilization type, and if the carbon behavior data is the power utilization condition, the matched service type is the power utilization type; if the carbon behavior data is obtained by using the fuel quantity, the service type is the fuel type, and so on, and specifically, the service type can be any combination of the three types.
In a specific embodiment, the performing the judgment and early warning statistics on the carbon emission data includes:
and counting the carbon emission data, regularly comparing the carbon emission data with the emission limit reference value of the target enterprise, performing early warning according to a comparison result, for example, performing data comparison once per week, and performing early warning if the carbon emission value 30/7 of one week is greater than the monthly emission limit reference value of the enterprise.
It should be noted that the principle and the working flow of the block chain-based trusted dual-carbon service evaluation method provided in this embodiment are similar to those of the block chain-based trusted dual-carbon service evaluation system, and reference may be made to the above description for relevant parts, which is not described herein again.
As shown in fig. 3, a third embodiment of the present invention provides a schematic structural diagram of a computer device. The computer device 12 shown in FIG. 3 is only an example and should not impose any limitation on the scope of use or functionality of embodiments of the present invention.
The computer device 12 is embodied in the form of a general purpose computing device. The components of computer device 12 may include, but are not limited to: one or more processors or processing units 16, a system memory 28, and a bus 18 that couples various system components including the system memory 28 and the processing unit 16.
The system memory 28 may include computer system readable media in the form of volatile memory, such as Random Access Memory (RAM)30 and/or cache memory 32. Computer device 12 may further include other removable/non-removable, volatile/nonvolatile computer system storage media. By way of example only, storage system 34 may be used to read from and write to non-removable, nonvolatile magnetic media (not shown in FIG. 3, and commonly referred to as a "hard drive"). Although not shown in FIG. 3, a magnetic disk drive for reading from and writing to a removable, nonvolatile magnetic disk (e.g., a "floppy disk") and an optical disk drive for reading from or writing to a removable, nonvolatile optical disk (e.g., a CD-ROM, DVD-ROM, or other optical media) may be provided. In these cases, each drive may be connected to bus 18 by one or more data media interfaces. Memory 28 may include at least one program product having a set (e.g., at least one) of program modules that are configured to carry out the functions of embodiments of the invention.
A program/utility 40 having a set (at least one) of program modules 42 may be stored, for example, in memory 28, such program modules 42 including, but not limited to, an operating system, one or more application programs, other program modules, and program data, each of which examples or some combination thereof may comprise an implementation of a network environment. Program modules 42 generally carry out the functions and/or methodologies of the described embodiments of the invention.
The processor unit 16 executes various functional applications and data processing by running the program stored in the system memory 28, for example, implementing a block chain-based trusted dual-carbon service evaluation method provided in the second embodiment of the present invention.
In a specific embodiment, the computer is an industrial personal computer, and is specifically configured with: the CPU is an I7-97008 core 8 thread, a memory 16G, a Kington 256G solid state disk serving as a system disk, a Kington 512G 3 solid state disk serving as raid 5 and loaded with a Linux desktop system, the system version is centros 7.9.2009, the system kernel is 4.4+, and the display card is an integrated display card.
In a possible implementation manner, a processor of the industrial personal computer is Intel Core i 57200U, a dual-Core four-thread, and a dominant frequency of 2.5 GHz; the CPU is constructed as KabyLake-U; the memory supports 1 DDR 4; the display interface is an HDMI high-definition display interface.
A fourth embodiment of the present application provides a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, implements:
s201: acquiring carbon behavior data of a target enterprise based on a metering terminal arranged at an enterprise end;
s202: according to the service type matched with the carbon behavior data;
s203: converting the carbon behavior data into carbon emission data according to the carbon behavior data, the service type and an intelligent contract deployed on a block chain;
s204: and performing cross validation of over emission early warning and carbon check according to the carbon emission data.
In practice, the computer-readable storage medium may take any combination of one or more computer-readable media. The computer readable medium may be a computer readable signal medium or a computer readable storage medium. A computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples (a non-exhaustive list) of the computer readable storage medium would include the following: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the present embodiment, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device.
A computer readable signal medium may include a propagated data signal with computer readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device.
Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.
Computer program code for carrying out operations for aspects of the present application may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, Smalltalk, C + +, and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet service provider).
In the description of the present invention, it should be noted that the terms "upper", "lower", and the like indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings, which are merely for convenience in describing the present invention and simplifying the description, and do not indicate or imply that the referred device or element must have a specific orientation, be constructed in a specific orientation, and operate, and thus, should not be construed as limiting the present invention. Unless expressly stated or limited otherwise, the terms "mounted," "connected," and "connected" are intended to be inclusive and mean, for example, that they may be fixedly connected, detachably connected, or integrally connected; can be mechanically or electrically connected; they may be connected directly or indirectly through intervening media, or they may be interconnected between two elements. The specific meanings of the above terms in the present invention can be understood by those skilled in the art according to specific situations.
It is further noted that, in the description of the present invention, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
It should be understood that the above-mentioned embodiments of the present invention are only examples for clearly illustrating the present invention, and are not intended to limit the embodiments of the present invention, and it will be obvious to those skilled in the art that other variations and modifications can be made on the basis of the above description, and all embodiments cannot be exhaustive, and all obvious variations and modifications belonging to the technical scheme of the present invention are within the protection scope of the present invention.
Claims (10)
1. The utility model provides a credible double carbon business evaluation system based on block chain which characterized in that, credible double carbon business evaluation system sets up in the target enterprise end, includes:
the metering terminal is used for acquiring carbon behavior data of a target enterprise, the data input end of the metering terminal is connected with the Internet of things equipment at the tail end of the target enterprise, and the data output end of the metering terminal is connected with the data input end of the service matching unit;
the service matching unit is used for receiving the carbon behavior data output by the metering terminal and matching service types for the carbon behavior data;
the intelligent service unit is used for receiving the carbon behavior data and the service type and converting the carbon behavior data into carbon emission data through an intelligent contract deployed in a block chain;
and the data statistics unit is used for carrying out cross validation of the super-emission early warning and the carbon check according to the carbon emission data.
2. The system of claim 1, further comprising:
the clock management unit is used for providing timestamp service and adding time points for the carbon emission data;
a resource management unit for storing the carbon behavior data and the carbon emission data;
the data communication unit provides a data communication protocol of a bottom layer so as to realize data transmission among all nodes;
the block chain unit is used for providing block chain related services.
3. The system of claim 2,
the block chain unit includes:
and the public and private key management unit is used for managing the public key, the private key and the secret key of each node in the block chain.
4. The system of claim 3,
the block chain unit further includes:
and the node management unit is used for managing the up-down line of the nodes in the block chain sharing platform and configuring identification IDs for all carbon emission units.
5. The system of claim 2,
the performing of the over-discharge early warning according to the carbon emission data comprises:
and the data statistics unit is used for counting the carbon emission data, regularly comparing the carbon emission data with the emission limit reference value of the target enterprise, and performing over-emission early warning according to the comparison result.
6. A credible double-carbon service evaluation method based on a block chain is characterized by comprising the following steps:
acquiring carbon behavior data of a target enterprise based on a metering terminal arranged at an enterprise end;
according to the service type matched with the carbon behavior data;
converting the carbon behavior data into carbon emission data according to the carbon behavior data, the service type and an intelligent contract deployed on a block chain;
and performing cross validation of over emission early warning and carbon check according to the carbon emission data.
7. The method of claim 6,
and configuring a public and private key identity for the target enterprise while acquiring the carbon behavior data of the target enterprise, and recording the carbon behavior data by combining a block chain.
8. The method of claim 6,
the performing of the over-discharge early warning according to the carbon emission data comprises:
and counting the carbon emission data of the target enterprise, regularly comparing the carbon emission data of the target enterprise with the emission limit reference value of the target enterprise, and if the carbon emission data is greater than the emission limit reference value of the target enterprise, early warning is carried out.
9. A computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the processor implements the method according to any of claims 6-8 when executing the program.
10. A computer storage medium on which a computer program is stored, which program, when being executed by a processor, carries out the method according to any one of claims 6-8.
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