KR102499489B1 - Method for verifying integrity of carbon emissions data and apparatus using the same - Google Patents

Abstract

The present invention provides a method for verifying the integrity of carbon emission data and apparatuses using the same, that is, a server and a client. Specifically, according to an embodiment of the present invention, the server is configured to: obtain carbon emission statistical data calculated by applying a predetermined standard to at least one piece of detailed activity data corresponding to at least one carbon emission source, and at least one detailed data hash value, which is a hash value generated from each detailed activity data, from a carbon DB of a client; extract the detailed activity data corresponding to the carbon emission statistical data from the carbon DB of the client by using the detailed data hash value; and verify the integrity of the extracted detailed activity data to generate an integrity verification result. The data on carbon emission can be easily shared and identified without exposing detailed activity information of each company.

Description

Method for verifying the integrity of carbon emission data and apparatus using the same

In the present disclosure, a method for verifying the integrity of carbon emission data and devices using the method, that is, a server and a client, are disclosed. Specifically, according to an embodiment of the present disclosure, the server may include carbon emission statistical data calculated by applying a predetermined criterion to at least one detailed activity data corresponding to at least one carbon emission source, and the at least one detailed activity data. At least one detailed data hash value, which is a hash value generated from each activity data, is obtained from the carbon DB of the client, and the detailed activity corresponding to the carbon emission statistical data is obtained from the carbon DB of the client using the detailed data hash value. Data is fetched, and the integrity of the fetched detailed activity data is verified to generate an integrity verification result.

As the Paris Agreement, which aims to reduce greenhouse gas emissions globally, that is, carbon emissions, was adopted in December 2015, POST-2020, in which both developed and developing countries participate, was launched. Each country is raising its national carbon emission reduction target (NDC; Nationally Determined Contribution), and Korea also raised it from the previous policy of reducing 26.3% compared to 2018 by 2030 to 40% reduction.

To achieve this goal, compulsory disclosure of environmental information is granted and expanded to companies listed on the KOSPI in Korea. For listed companies listed above, and from 2030, disclosure of environmental information is mandatory for all KOSPI-listed companies. Similarly, the US SEC (Securities and Exchange Commission) also mandates disclosure of carbon emissions, disclosing information up to scope 3 defined by the GHG Protocol for large corporations from 2024 and for small and medium-sized enterprises from 2025 is made mandatory

Many companies around the world are declaring carbon neutrality in their supply chain (value chain) as well as their own carbon emissions, and are stepping up to manage it. do. For example, in the automobile supply chain, there is a need for numerous companies to measure their carbon emissions and share them with their customers.

Accordingly, a process of measuring carbon emissions between companies and sharing the carbon emission data is becoming essential, and at this time, a reliability problem regarding the shared data arises. A simple solution that can be taken to solve this problem is to disclose all of the company's detailed activity data, but since the detailed activity data is often in contact with companies' trade secrets, companies are reluctant to disclose it. It is a reality.

KR 10-2087152 B

GHG Protocol Guidance on Calculation of Carbon Emissions URL: https://ghgprotocol.org/sites/default/files/standards/Scope%202%20Guidance_Final_Sept26.pdf GHG Protocol Guidance on Calculation of Carbon Emissions URL: https://ghgprotocol.org/sites/default/files/standards/Scope3_Calculation_Guidance_0.pdf

Therefore, in this disclosure, whether the statistical data of emissions provided or shared by the company to the outside is true, that is, the integrity can be verified through a platform outside the company, while detailing the company's detailed activities that are the basis of the statistical data of emissions Its purpose is to provide a way to prevent data from being exposed or leaked outside the company.

The characteristic configuration of the present invention for achieving the object of the present invention as described above and realizing the characteristic effects of the present invention described later is as follows.

According to one aspect of the present disclosure, a method for verifying the integrity of carbon emission data is provided, wherein the server applies a predetermined criterion to at least one detailed activity data corresponding to at least one carbon emission source. obtaining at least one detailed data hash value, which is a hash value generated from each of the calculated carbon emission statistical data and the at least one detailed activity data, from a carbon DB of a client; retrieving, by the server, the detailed activity data corresponding to the carbon emission statistical data from a carbon DB of the client using the detailed data hash value; and generating an integrity verification result by verifying, by the server, the integrity of the fetched detailed activity data, wherein the integrity verification result meets the predetermined criterion between the at least one detailed activity data and the carbon emission statistical data. and the existence of evidence related to the detailed activity data.

In one embodiment, the method further includes providing, by the server, the integrity verification result to the external entity in response to a request for the integrity verification result from the external entity.

Advantageously, the at least one detailed activity data corresponding to the at least one carbon emission source includes a type and details of the corresponding carbon emission source, and the supporting data associated with the detailed activity data.

Preferably, the hash value is a key value that is uniquely assigned to each of the detailed activity data corresponding to the hash value in the carbon DB of the client to enable retrieval of the detailed activity data from the carbon DB of the client ( key value).

More preferably, the hash value is generated based on at least one of an input time of the detailed activity data corresponding to the hash value and a value of the detailed activity data.

Advantageously, the predetermined criterion applied to the at least one detailed activity data is scope 1, 2 and 3 emissions defined by the GHG Protocol for the enterprise.

Preferably, the integrity verification result is the suitability of the classification condition of the detailed activity data and the predetermined value of a calculation method in which individual emissions included in the carbon emission statistical data are calculated from each of the at least one detailed activity data. It further includes conformity to criteria.

According to another aspect of the present disclosure, a method for supporting integrity verification of carbon emission data is provided, wherein the method allows a client to send at least one detailed activity data corresponding to at least one carbon emission source to a predetermined carbon DB. acquiring or holding; By the client, a process of calculating carbon emission statistical data by applying a predetermined criterion to the at least one detailed activity data and a process of generating at least one detailed data hash value corresponding to each of the at least one detailed activity data. holding the carbon emission statistical data and the detailed data hash value in the carbon DB by performing; providing, by the client, the carbon emission statistical data and the detailed data hash value to a server; and the client retrieves the detailed activity data corresponding to the carbon emission statistical data from the carbon DB by using the detailed data hash value provided from the server and provides the detailed activity data corresponding to the carbon emission statistical data to the server, thereby providing the detailed activity data by the server. Including the step of supporting the integrity verification of.

Preferably, the hash value is a key value that is uniquely assigned to each of the detailed activity data corresponding to the hash value in the carbon DB to enable retrieval of the detailed activity data from the carbon DB of the client. )am.

More preferably, the hash value is generated based on at least one of an input time of the detailed activity data corresponding to the hash value and a value of the detailed activity data.

According to another aspect of the present invention, a computer program comprising instructions implemented to perform the methods according to the present invention is also provided. For example, such a computer program may be stored on a machine-readable non-transitory recording medium.

According to another aspect of the present invention, a server that is a computing device for verifying the integrity of carbon emission data is provided, and the server applies a predetermined criterion to at least one detailed activity data corresponding to at least one carbon emission source. a communication unit for obtaining at least one detailed data hash value, which is a hash value generated from each of the calculated carbon emission statistical data and the at least one detailed activity data, from a carbon DB of a client; and a process of retrieving the detailed activity data corresponding to the carbon emission statistical data from the carbon DB of the client using the detailed data hash value, and verifying the integrity of the detailed activity data retrieved to generate an integrity verification result. As a process, the integrity verification result includes consistency between the at least one detailed activity data and the carbon emission statistical data according to the predetermined criterion, and existence of evidence related to the detailed activity data. contains a processor that performs

According to another aspect of the present invention, a client that is a computing device supporting integrity verification of carbon emission data is provided, and the client includes a communication unit that obtains at least one detailed activity data corresponding to at least one carbon emission source. ; and a process of retaining the at least one detailed activity data in a predetermined carbon DB, a process of calculating carbon emission statistical data by applying a predetermined criterion to the at least one detailed activity data, and each of the at least one detailed activity data. A process of generating at least one corresponding detailed data hash value, a process of holding the carbon emission statistical data and the detailed data hash value in the carbon DB, and the carbon emission statistical data and the detailed data hash value through the communication unit. A process of providing the linked server, and by using the detailed data hash value provided from the server to retrieve the detailed activity data corresponding to the carbon emission statistical data from the carbon DB and provide it to the server, and a processor performing a process of supporting integrity verification of the detailed activity data.

According to the invention of the present disclosure, data on carbon emissions corresponding to the greenhouse gas reduction efforts of companies belonging to the product supply chain can be easily shared and verified between companies without exposing detailed activity information of individual companies. It works. Specifically, according to the invention of the present disclosure, whether the statistical data of emissions provided or shared by the company to the outside is true, that is, the integrity can be verified through a platform outside the company, while the basis of the statistical data of emissions There is an advantage in that the detailed activity data of the company that is being used is not exposed or leaked outside the company.

The accompanying drawings for use in describing the embodiments of the present invention are only some of the embodiments of the present invention, and those of ordinary skill in the art (hereinafter referred to as "ordinary technicians") Other figures may be obtained on the basis of these figures without any effort to the extent of inventing the invention.
FIG. 1 is a conceptual diagram schematically illustrating an exemplary configuration of computing devices that perform a method for verifying the integrity of carbon emission data (hereinafter referred to as “carbon emission data integrity verification method”) according to the present disclosure.
2 is an exemplary block diagram illustrating hardware or software components of a server and a client, which are computing devices that perform a carbon emission data integrity verification method according to the present disclosure.
3 is a flowchart illustrating an embodiment of a carbon emission data integrity verification method realized by a server and a client according to the present disclosure.
4 is an exemplary diagram conceptually illustrating detailed activity data and emission data shown in the present disclosure.
5 is an exemplary block diagram conceptually illustrating a process in which a carbon emission data integrity verification method according to the present disclosure is performed between carbon DBs of clients of various companies and a server (platform server) of the present disclosure.

DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS The following detailed description of the present invention refers to the accompanying drawings, which illustrate specific embodiments in which the present invention may be practiced in order to make the objects, technical solutions and advantages of the present invention clear. These embodiments are described in sufficient detail to enable a person skilled in the art to practice the present invention. In the description with reference to the accompanying drawings, the same reference numerals are given to the same components regardless of reference numerals, and overlapping descriptions thereof will be omitted. Like reference numbers in the drawings indicate the same or similar function throughout the various aspects.

Terms such as "first" or "second" may be used to describe various components, but such terms are to be interpreted solely for the purpose of distinguishing one component from another, and no order is implied. because it doesn't For example, a first element may be termed a second element, and similarly, a second element may be termed a first element.

It should be understood that when an element is referred to as being “connected” to another element, it may be directly connected or connected to the other element, but other elements may exist in the middle.

Singular expressions include plural expressions unless the context clearly dictates otherwise. In this disclosure, terms such as "comprise" or "have" are intended to designate that the described feature, number, step, operation, component, part, or combination thereof exists, but one or more other features or numbers, It should be understood that the presence or addition of steps, operations, components, parts, or combinations thereof is not precluded.

In the present disclosure and claims, 'integrity' refers to the property that all data used for statistics have a clear basis according to international standards, and there are no missing data and no data to be added.

And in this disclosure and claims, 'external entity' includes users, administrators, etc. such as servers and clients, but it should be understood that any subject other than this includes any subject that needs information on the company's carbon emissions. do. For example, the external entity may be a computing device or terminal used by interested parties such as business partners, shareholders, and public institutions.

Unless defined otherwise, all terms used herein, including technical or scientific terms, have the same meaning as commonly understood by one of ordinary skill in the art. Terms such as those defined in commonly used dictionaries should be interpreted as having a meaning consistent with the meaning in the context of the related art, and unless explicitly defined in the present disclosure, interpreted in an ideal or excessively formal meaning. It doesn't work.

Moreover, the present invention covers all possible combinations of the embodiments presented in this disclosure. It should be understood that the various embodiments of the present invention are different, but need not be mutually exclusive. For example, specific shapes, structures, and characteristics described herein may be implemented in one embodiment in another embodiment without departing from the spirit and scope of the invention. Additionally, it should be understood that the location or arrangement of individual components within each disclosed embodiment may be changed without departing from the spirit and scope of the invention. Accordingly, the detailed description that follows is not intended to be taken in a limiting sense.

In this disclosure, unless otherwise indicated or clearly contradicted by context, terms referred to in the singular encompass the plural unless the context requires otherwise. In addition, in describing the present invention, if it is determined that a detailed description of a related known configuration or function may obscure the gist of the present invention, the detailed description will be omitted.

Hereinafter, preferred embodiments of the present invention will be described in detail with reference to the accompanying drawings so that those skilled in the art can easily practice the present invention.

1 is a conceptual diagram schematically illustrating an exemplary configuration of computing devices that perform a carbon emission data integrity verification method according to the present disclosure.

Referring to FIG. 1 , a computing device 100 according to an embodiment of the present disclosure includes a communication unit 110 and a processor 120, and communicates with an external computing device (not shown) through the communication unit 110. You can communicate directly or indirectly.

Specifically, the computing device 100 may include typical computer hardware (eg, a computer, processor, memory, storage, input and output devices, and other components of conventional computing devices; a router; electronic communication devices, such as switches, switches, etc.; electronic information storage systems, such as network-attached storage (NAS) and storage area network (SAN)) and computer software (i.e., enabling computing devices to It may be to achieve the desired system performance by using a combination of instructions). The storage may include a storage device such as a hard disk or a universal serial bus (USB) memory as well as a storage device based on a network connection such as a cloud server.

The communication unit 110 of such a computing device can transmit/receive requests and responses with other computing devices that are interlocked. As an example, such requests and responses are transmitted through the same Transmission Control Protocol (TCP) session. However, it is not limited thereto, and may be transmitted and received as, for example, User Datagram Protocol (UDP) datagram.

Specifically, the communication unit 110 may be implemented in the form of a communication module including a communication interface. For example, communication interfaces include Wireless LAN (WLAN), Wireless Fidelity (WiFi) Direct, Digital Living Network Alliance (DLNA), Wireless Broadband (WiBro), World interoperability for Microwave access (WiMax), High Speed Downlink Packet Access (HSDPA), etc. Including wireless Internet interface of Bluetooth™, RFID (Radio Frequency IDentification), Infrared Data Association (IrDA), UWB (Ultra-WideBand), ZigBee, and NFC (Near Field Communication) short-range communication interfaces. can do. In addition, the communication interface may represent all interfaces through which the processor communicates with the outside (eg, multiple buses such as a data bus, wired/wireless interfaces).

For example, the communication unit 110 may transmit/receive data from another computing device through an appropriate communication interface. In addition, in a broad sense, the communication unit 110 may include a keyboard, a mouse, other external input devices, a printing device, a display, and other external output devices for receiving commands or instructions, or may be interlocked with them. In order to enable interaction with a user by displaying and providing an appropriate user interface to a user of a computing device, for example, a user terminal such as a portable terminal or a personal computer (PC) or a server, the computing device 100 is provided. It is known that the display unit can be embedded or interlocked with an external display device through the communication unit 110 . For example, such a display unit or display device may be a touch screen capable of touch input.

In addition, the processor 120 of the computing device may include one or more micro processing units (MPUs), central processing units (CPUs), and graphics processing units (GPUs) having internal memory such as cache memory and/or external memory. , a microprocessor such as a neural processing unit (NPU) or a tensor processing unit (TPU), a controller such as a microcontroller, an embedded microcontroller, a microcomputer, an arithmetic logic unit (ALU), a digital signal processor, such as , a programmable digital signal processor or other programmable device. In addition, it may further include a software configuration of an operating system and an application that performs a specific purpose.

Now, the carbon emission data integrity verification method according to the present disclosure will be described in detail with reference to FIGS. 2 to 5 .

2 is an exemplary block diagram showing hardware or software components of a client 200 and a server 300, which are computing devices that perform a carbon emission data integrity verification method according to the present disclosure, and FIG. It is a flowchart illustrating an embodiment of a carbon emission data integrity verification method according to.

Referring to FIGS. 2 and 3 , in the carbon emission data integrity verification method according to the present disclosure, first, the client 200, which is a computing device generating carbon emissions, includes at least one carbon emission source corresponding to at least one carbon emission source. Acquisition or retention of the detailed activity data in the predetermined carbon DB 240 by the detailed activity data input and acquisition module 210 (S100).

4 is an exemplary diagram conceptually illustrating detailed activity data and emission data shown in the present disclosure.

Referring to FIG. 4 , detailed activity data 440 input 430 to correspond to various types of emission sources 420 such as electricity, gas, water supply, vehicles, refrigerants, wastes, process emissions, and logistics are exemplified.

In this disclosure and claims, 'detailed activity data' refers to data on activities in which carbon emission entities such as companies generate carbon emissions through electricity, heat, processes, etc. As mentioned above, the corresponding carbon Details such as type of emission source, power usage, heat usage, process structure, volume, etc. may be included.

In addition, when constructing the greenhouse gas inventory, the system is built to have a top-down structure such as company - organization, eg, South Seoul branch - business site, eg, specific logistics center - emission facility, eg diesel truck A, and each emission Evidence data related to carbon emissions from the emission facility is generated for each facility. As an example, a receipt for fuel expenses of 20,000 won spent on May 21, 2019 for the diesel truck A, 7 in the freezer of the specific distribution center Evidence data such as bills paid to KEPCO after using 200 kWh of electricity per month may be included in the activity data.

In short, the detailed activity data may include the type and details of the corresponding carbon emission source, and the supporting data associated with the detailed activity data.

Next, the method for verifying the integrity of the carbon emission data is a process in which the client 200, by the carbon emission calculation module 220, calculates carbon emission statistical data by applying a predetermined criterion to the at least one detailed activity data. (S220) and a process (S240) of generating at least one detailed data hash value corresponding to each of the at least one detailed activity data by the hash module 230, thereby performing the carbon emission statistical data and the detailed data. A step (S200) of holding (S260) the hash value in the carbon DB (240) is further included.

The predetermined criterion applied to the at least one detailed activity data in process S220 may be scope 1, 2 and 3 emissions defined by the GHG protocol for the company there is. As illustrated in FIG. 4, emission data that meets the predetermined criteria by the carbon emission calculation module 220 by applying 450 the correct emission coefficient according to each emission source information with respect to detailed activity data 440. (460) can be calculated.

In the process (S240), the hash value is uniquely assigned to each of the detailed activity data corresponding to the hash value in the carbon DB 240 of the client 200 (uniqueness of the detailed activity data) from the carbon DB 240. This is a key value enabling retrieval of the detailed activity data. For example, the hash value may be generated based on at least one of an input time of the detailed activity data corresponding to the hash value and a value of the detailed activity data in order to satisfy uniqueness.

Then, in the carbon emission data integrity verification method, the client 200 of the carbon emission subject searches the carbon emission statistical data and the detailed data hash value by the carbon DB 240 or the external access module 250. A step (S300) of providing the data to the server 300, which is a computing device, is further included. In this case, only the hash value of the detailed activity data rather than the detailed activity data itself, which is sensitive to the carbon emission subject, eg, a company, may be uploaded to the server 300 together with the carbon emission statistical data.

Although the server 300 functioning as a platform may be configured to directly access the carbon DB 240 of the client 200 of the carbon emission entity, in order to improve the security of the client 200, the server 300 While blocking direct access to the carbon DB 240, the server 300 will be configured to allow access to the carbon DB 240 only through the external access module 250 of the client 200 in order to allow only correct access. may be In this case, in order to configure the external access module 250 that relays the communication between the server 300, in particular, the verification data acquisition and retrieval module 310 and the carbon DB 240 of the client 200, it is separately configured. An application programming interface (API) may be provided.

In this step (S300) from the server 300's point of view, the server 300 calculates the carbon emission statistics by applying the predetermined criterion to the at least one detailed activity data corresponding to the at least one carbon emission source. data, and the at least one detailed data hash value generated from each of the at least one detailed activity data from the carbon DB 240 of the client 200 by the verification data acquisition and retrieval module 310 applicable

For example, the carbon emission statistical data may be data corresponding to 'a total of 200 tons of carbon emissions generated in power use', and the detailed data hash values for each of the detailed activity data A to C that are the basis thereof are ' 4A01E6A33D81FB04C0607A6FC03964C836AC7A633E009D7F4B35B0F945C31767', ' A03AB19B866FC585B5CB1812A2F63CA861E7E7643EE5D43FD7106B623725FD67', 'F5182C34F66C46BA5C185FBAD8F71DB1C8DA173B6F6C4C1BC8ECFCFDD426FD10'와 같은 값들일 수 있다.

It is well known to those skilled in the art that various hash functions (eg md2, md4, md5, sha1, sha224, sha256, sha384, ...) can be applied to hash module 230 to generate the detailed data hash values. , an excessively detailed description thereof will be omitted.

Continuing, the method for verifying the integrity of the carbon emission data is for the server 300 to verify the detailed activity data corresponding to the carbon emission statistical data from the carbon DB 240 of the client using the detailed data hash value. A step of fetching by the data acquisition and retrieval module 310 (S400) is further included. In this step (S400) from the perspective of the client 200, the client 200 uses the detailed data hash value provided from the server 300 to obtain the detailed data corresponding to the carbon emission statistical data from the carbon DB 240. This corresponds to the step of fetching activity data and providing it to the server 300, which is to support integrity verification of the detailed activity data by the server 300 in a subsequent step (S500).

Next to step S400, the method for verifying the integrity of the carbon emission data includes, by the integrity verification module 320, verifying the integrity of the detailed activity data retrieved by the server 300 and generating an integrity verification result. (S500) is further included, wherein the integrity verification result is, the consistency between the at least one detailed activity data and the carbon emission statistical data according to the predetermined criterion, and existence of 'evidence data related to the detailed activity data' includes 'Sex'.

For example, in the above example, each of the detailed activity data A to C associated with the carbon emission statistical data that a total of 200 tons of carbon emissions occurred in relation to power use has evidence data in a form that can be verified by a third party. If so, it can be determined that the existence of the evidence is satisfied. For example, the supporting data corresponding to the detailed activity data A indicating that business site A used 200 kWh of electricity may be, for example, a KEPCO bill payment bill indicating the use of 200 kWh of electricity.

Additionally, the integrity verification result is based on the suitability of the classification condition of the detailed activity data and the predetermined criterion of a calculation method for calculating individual emissions included in the carbon emission statistical data from each of the at least one detailed activity data. It may further include conformity to. Here, the suitability for the classification condition refers to the property that the detailed activity data used to calculate the carbon emission statistical data satisfies the classification condition according to the predetermined standard, and the conformity to the predetermined standard refers to the property of satisfying the classification condition according to the predetermined standard. It refers to the property that the calculation method of statistical data complies with the latest international standards.

After step (S500), the carbon emission data integrity verification method, in response to a request for the integrity verification result from an external entity (not shown), the server 300 provides the integrity verification result to the external entity. Further steps may be included. Here, the integrity verification result refers to a result (conformance or nonconformity) of whether each of the properties (eg, the conformity, the existence, the conformity, the conformity, etc.) must be satisfied for the above-described integrity. .

Interactions between the server 300 and the clients 200a to 200c in the carbon emission data integrity verification method and the verification method of the present disclosure described so far may be conceptually illustrated as shown in FIG. 5 . 5 is an exemplary block diagram conceptually illustrating a process in which a carbon emission data integrity verification method according to the present disclosure is performed between carbon DBs of clients of various companies and a server (platform server) of the present disclosure.

Referring to FIG. 5, each of the companies belonging to one supply chain (raw material company A, intermediate goods company, and large company C) has a detailed data hash value that is a hash value of sensitive detailed activity data by their respective clients 200a to 200c. may be provided to the server 300 together with the carbon emission statistical data. Then, the server 300 may fetch corresponding detailed activity data from the carbon DB of each of the clients 200a to 200c using the detailed data hash value (S400) and verify its integrity (S500).

When a company C belonging to the same supply chain wants to obtain carbon emission statistical data of another company A, the server 300 responds to company C's request for the integrity verification result of the carbon emission statistical data The integrity verification result of the statistical data may be provided to company C (S600). Company A only provides the server 300 with detailed data hash values corresponding to the carbon emission statistical data, and the server 300 uses this to ensure the integrity of the carbon emission statistical data. The detailed activity data of Company A cannot be viewed without permission.

As such, according to the invention of this disclosure, in all verification processes according to this disclosure regarding the integrity of the carbon emission statistical data of a certain company A, detailed activity data, in particular, supporting data, is not leaked to the outside beyond the internal network of company A. However, company A can share the carbon emission statistical data based on it with other companies, and while the trade secrets of individual companies are maintained within a supply chain, the carbon emission statistical data of the companies can be freely shared with each other. There are advantages to being

Of course, the methods disclosed in this disclosure may be performed continuously and/or repeatedly according to the need to share data on carbon emissions.

Based on the description of various embodiments of the present disclosure, a person skilled in the art can determine the method and / or processes of the present invention, and the steps are hardware, software, or hardware and software suitable for a particular application. It can be clearly understood that any combination can be realized.

In addition, since today's skilled person reading this disclosure is familiar with various user interfaces that can be provided through a computing device, a person skilled in the art can easily assume various user interfaces necessary for implementing the method of the present disclosure. .

The hardware device may include a general-purpose computer and/or a dedicated computing device or a specific computing device or a particular aspect or component of a specific computing device. The processes may be realized by a processor as described above, which is combined with a memory such as ROM/RAM or the like for storing program instructions and configured to execute instructions stored in the memory. Additionally, or alternatively, the processes may use an application specific integrated circuit (ASIC), programmable gate array, such as a field programmable gate array (FPGA), programmable logic unit (PLU) or programmable array logic (Programmable Array Logic; PAL) or any other device capable of executing and responding to other instructions, any other device or combination of devices that may be configured to process electronic signals. A processing device may run an operating system and one or more software applications running on the operating system. A processing device may also access, store, manipulate, process, and generate data in response to execution of software. For convenience of understanding, there are cases in which one processing device is used, but those skilled in the art will understand that the processing device includes a plurality of processing elements and/or a plurality of types of processing elements. It can be seen that it can include. For example, a processing device may include a plurality of processors or a processor and a controller. Other processing configurations are also possible, such as parallel processors. The hardware device may also include a communication unit as described above capable of exchanging signals with an external device.

Software may include a computer program, code, instructions, or a combination of one or more of the foregoing, and may independently or collectively configure a processing device to operate as desired. ) command to the processing unit. Software and/or data may be any tangible machine, component, physical device, virtual equipment, computer storage medium or device, intended to be interpreted by or provide instructions or data to a processing device. , or may be permanently or temporarily embodied in a transmitted signal wave. Software may be distributed on networked computer systems and stored or executed in a distributed manner. Software and data may be stored on one or more machine-readable recording media.

Furthermore, the subject matter of the technical solution of the present invention or parts contributing to the prior art may be implemented in the form of program instructions that can be executed through various computer components and recorded on a machine-readable medium. Machine-readable media may include program instructions, data files, data structures, etc. alone or in combination. Program instructions recorded on a machine-readable recording medium may be specially designed and configured for the embodiment or may be known and usable to those skilled in the art of computer software. Examples of machine-readable recording media include magnetic media such as hard disks, floppy disks and magnetic tapes, optical media such as CD-ROMs, DVDs, and Blu-rays, and floptical disks. ), and hardware devices specially configured to store and execute program instructions, such as ROM, RAM, flash memory, and the like. Examples of program instructions include stored and compiled or interpreted for execution on any one of the foregoing devices, as well as a heterogeneous combination of processors, processor architectures, or different combinations of hardware and software, or any other machine capable of executing program instructions. Machine code, which can be created using a structured programming language such as C, an object-oriented programming language such as C++, or a high-level or low-level programming language (assembly language, hardware description languages, and database programming languages and technologies), This includes not only bytecode, but also high-level language code that can be executed by a computer using an interpreter or the like.

Therefore, in one aspect according to the present invention, when the above-described methods and combinations thereof are performed by one or more computing devices, the methods and combinations of methods may be implemented as executable code that performs each step. In another aspect, the method may be implemented as systems performing the steps, the methods may be distributed in several ways across devices or all functions may be integrated into one dedicated, stand-alone device or other hardware. In another aspect, the means for performing the steps associated with the processes described above may include any of the hardware and/or software described above. All such sequential combinations and combinations are intended to fall within the scope of this disclosure.

Although the present invention has been described above with specific details such as specific components and limited embodiments and drawings, specific structural or functional descriptions of the embodiments are provided for purposes of illustration and to help a more general understanding of the present invention. However, the present invention is not limited to the disclosed embodiments, and those skilled in the art can make various modifications and variations from these descriptions.

Therefore, the technical idea of the present invention should not be limited to the above-described embodiments and should not be determined, and the claims attached to this disclosure, including changes or substitutes included in the technical idea, as well as the scope of this patent claim Or equivalently, all modifications will fall within the scope of the spirit of the present invention. For example, the described techniques may be performed in an order different from the method described, and/or components of the described system, structure, device, circuit, etc. may be combined or combined in a different form than the method described, or other components may be used. Or even if it is replaced or substituted by equivalents, appropriate results can be achieved.

Such equivalent or equivalent modifications will include, for example, logically equivalent methods that can produce the same results as those performed by the method according to the present invention. The scope should not be limited by the above examples, and should be understood in the broadest sense permitted by law.

Claims (14)

As a method of verifying the integrity of carbon emission data,
At least one detailed activity data that is a hash value generated from carbon emission statistical data calculated by the server by applying a predetermined criterion to at least one detailed activity data corresponding to at least one carbon emission source, and the at least one detailed activity data. obtaining a data hash value from the client's carbon DB;
retrieving, by the server, the detailed activity data corresponding to the carbon emission statistical data from a carbon DB of the client using the detailed data hash value; and
The server verifying the integrity of the fetched detailed activity data to generate an integrity verification result, wherein the integrity verification result is determined according to the predetermined criterion between the at least one detailed activity data and the carbon emission statistical data. Consistency, and the presence of evidence related to the detailed activity data, step
including,
The hash value is a key value that is uniquely assigned to each of the detailed activity data corresponding to the hash value in the carbon DB of the client and enables the retrieval of the detailed activity data from the carbon DB of the client. ,
Characterized in that, the hash value of the detailed activity data excluding the detailed activity data and the carbon emission statistical data are recorded in the server. According to claim 1,
Providing, by the server, the integrity verification result to the external entity in response to a request for the integrity verification result from the external entity.
Further comprising, carbon emissions data integrity verification method. delete According to claim 1,
The integrity verification result is,
Conformity to the classification conditions of the detailed activity data, and
The carbon emission data integrity verification method of claim 1 , further comprising compliance with the predetermined criterion of a calculation method for calculating individual emissions included in the carbon emission statistical data from each of the at least one detailed activity data. As a method of supporting integrity verification of carbon emission data,
Acquiring or retaining, by a client, at least one detailed activity data corresponding to at least one carbon emission source in a predetermined carbon DB;
By the client, a process of calculating carbon emission statistical data by applying a predetermined criterion to the at least one detailed activity data and a process of generating at least one detailed data hash value corresponding to each of the at least one detailed activity data. holding the carbon emission statistical data and the detailed data hash value in the carbon DB by performing;
providing, by the client, the carbon emission statistical data and the detailed data hash value to a server; and
The client retrieves the detailed activity data corresponding to the carbon emission statistical data from the carbon DB using the detailed data hash value provided from the server and provides the detailed activity data corresponding to the carbon emission statistical data to the server, thereby obtaining the detailed activity data by the server. Steps to support integrity verification
including,
The hash value is a key value that is uniquely assigned to each of the detailed activity data corresponding to the hash value in the carbon DB and enables retrieval of the detailed activity data from the carbon DB of the client,
Characterized in that, the hash value of the detailed activity data and the carbon emission statistical data excluding the detailed activity data are recorded in the server. delete According to claim 5,
Wherein the hash value is generated based on at least one of an input time of the detailed activity data corresponding to the hash value and a value of the detailed activity data. Instructions implemented to cause a computing device to perform the method of any one of claims 1, 2, and 4 as the server or to cause the computing device to perform the method of claim 5 or claim 7 as the client A computer program, stored in a machine-readable non-transitory storage medium, including instructions implemented to perform. A server that is a computing device that verifies the integrity of carbon emission data,
Carbon emission statistical data calculated by applying a predetermined criterion to at least one detailed activity data corresponding to at least one carbon emission source, and at least one detailed data hash value that is a hash value generated from each of the at least one detailed activity data. Communication unit for obtaining from the carbon DB of the client; and
A process of retrieving the detailed activity data corresponding to the carbon emission statistical data from the carbon DB of the client using the detailed data hash value, and a process of verifying the integrity of the retrieved detailed activity data to generate an integrity verification result. wherein the integrity verification result includes consistency between the at least one detailed activity data and the carbon emission statistical data according to the predetermined criterion, and existence of evidence related to the detailed activity data. processor to
including,
The hash value is a key value that is uniquely assigned to each of the detailed activity data corresponding to the hash value in the carbon DB of the client and enables the retrieval of the detailed activity data from the carbon DB of the client. ,
Characterized in that, the hash value of the detailed activity data and the carbon emission statistical data excluding the detailed activity data are recorded in the server. According to claim 9,
the processor,
A process of providing the integrity verification result to the external entity in response to a request for the integrity verification result from the external entity.
To further perform, the carbon emissions data integrity verification device. delete As a client that is a computing device that supports verification of the integrity of carbon emissions data,
a communication unit acquiring at least one detailed activity data corresponding to at least one carbon emission source; and
A process of retaining the at least one detailed activity data in a predetermined carbon DB, a process of calculating carbon emission statistical data by applying a predetermined criterion to the at least one detailed activity data, and corresponding to each of the at least one detailed activity data. A process of generating at least one detailed data hash value, a process of holding the carbon emission statistical data and the detailed data hash value in the carbon DB, and linking the carbon emission statistical data and the detailed data hash value through the communication unit. A process for providing the detailed activity data corresponding to the carbon emission statistical data from the carbon DB using the detailed data hash value provided from the server and providing the detailed activity data corresponding to the carbon emission statistical data to the server, Processors that perform processes that support verification of the integrity of detailed activity data
including,
The hash value is a key value that is uniquely assigned to each of the detailed activity data corresponding to the hash value in the carbon DB and enables retrieval of the detailed activity data from the carbon DB of the client,
Characterized in that, the hash value of the detailed activity data excluding the detailed activity data and the carbon emission statistical data are recorded in the server. delete According to claim 12,
The hash value is generated based on at least one of an input time of the detailed activity data corresponding to the hash value and a value of the detailed activity data.

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