All-industry carbon emission calculation method, device, system and medium

Abstract

The embodiment of the invention provides a whole-industry carbon emission calculation method, device and system and a medium, and belongs to the field of carbon emission reduction. The method comprises the following steps: for an industry entity comprising a plurality of enterprises, determining the number of enterprises with published carbon emission data; whether the determined enterprise number is smaller than a set threshold value or not is judged, if yes, the quotient value of the total carbon emission of the industry entity based on the raw material consumption relative to the total value of the economic correlation indexes is calculated to serve as the total coefficient of the carbon emission, and the total coefficient of the carbon emission is calculated; otherwise, calculating the quotient value of the average carbon emission determined by the industry entity based on the carbon emission publication data of part of enterprises relative to the average value of the economic correlation indexes, and taking the quotient value as a carbon emission total coefficient; and calculating the carbon emission of the corresponding enterprise based on the total coefficient of carbon emission and the corresponding economic association index of each enterprise. According to the method, the carbon emission of each enterprise can be estimated without specific emission factors of each enterprise and energy consumption records of all enterprises.

Description

Technical Field

[0001] The present invention relates to the field of carbon emission reduction, and in particular to a method, device, system and medium for calculating carbon emissions in the entire industry. Background Art

[0002] Carbon emission estimation refers to the process of quantifying and calculating the carbon dioxide emissions generated by an entity (such as an individual or region) within a specific time frame. At present, the concept of green development has been pushed to an unprecedented height, which has given various industries more challenges in carrying out carbon emission estimation.

[0003] Among the existing technologies, the most widely used and widely used carbon emission estimation method is the emission factor method. Figure 1 The company uses the emission factor method to obtain direct carbon emissions in the form of "fossil fuel consumption × fossil fuel emission factor", and then uses the method of "purchased electricity × grid emission factor" to obtain indirect carbon emissions, and then adds the two together to estimate the total carbon emissions. If extended to the entire industry, for example, taking a region as a unit, the total carbon emissions of related companies in the region are added together to obtain the total carbon emissions of the entire industry in the region.

[0004] However, the inventors of this application discovered in the process of implementing the present invention that this emission factor method has at least the following defects: First, the estimation standards are not unified. The global carbon emission estimation standards have not yet been fully unified, so different regions may use different estimation methods and standards, which makes it difficult for companies to estimate carbon emissions. For example, different companies may use different emission factors, which increases the difficulty and cost of carbon emission estimation.

[0005] Second, data acquisition is difficult. As mentioned above, the estimation of carbon emissions for the entire industry requires a large amount of data support, including energy consumption data of each enterprise (e.g. Figure 1 fossil fuel consumption), production data (e.g. Figure 1 purchased electricity), emissions data (e.g. Figure 1 However, some data may be difficult to obtain or contain large errors. For example, some companies do not disclose enough carbon emissions and raw material data, and some small companies lack standardized energy consumption records, resulting in low data quality, which affects the accuracy of carbon emissions estimation using the emission factor method.

[0006] Therefore, in view of the challenges faced by current carbon emission estimation methods, such as inconsistent standards, difficulty in obtaining data, and insufficient technical support, it is necessary to conduct further innovative research on carbon emission estimation methods. Summary of the invention

[0007] The purpose of the embodiments of the present invention is to provide a method, device, system and medium for calculating carbon emissions for the entire industry, so as to at least partially solve the above-mentioned technical problems.

[0008] In order to achieve the above-mentioned purpose, an embodiment of the present invention provides a method for calculating carbon emissions for the entire industry, including: for an industry entity including multiple enterprises, determining the number of enterprises that have published carbon emission data; judging whether the determined number of enterprises is less than a set threshold, and if so, calculating the quotient of the total carbon emissions of the industry entity based on raw material consumption relative to the total value of the economic correlation index of the industry entity as the total carbon emission coefficient; otherwise, calculating the quotient of the average carbon emissions determined by the industry entity based on the carbon emission published data of some enterprises relative to the average value of the economic correlation index as the total carbon emission coefficient; and calculating the carbon emissions of the corresponding enterprise based on the total carbon emission coefficient and the corresponding economic correlation index of each enterprise under the industry entity.

[0009] Optionally, the threshold is less than or equal to half of the total number of enterprises under the industry entity, and / or the economic relevance indicator is one of operating profit, revenue value and total assets.

[0010] Optionally, the industry-wide carbon emissions calculation method also includes estimating the total carbon emissions of the industry entity through the following steps: obtaining the consumption of various raw materials consumed by the industry entity; and estimating the total carbon emissions of the industry entity based on the consumption of various raw materials and the standard emission factors corresponding to the raw materials.

[0011] Optionally, the industry-wide carbon emissions calculation method further includes estimating the total value of the economic relevance index of the industry entity through the following steps: obtaining the published operating data of the industry entity to extract the total value of the economic relevance index.

[0012] Optionally, the industry-wide carbon emissions calculation method also includes estimating the average carbon emissions of the industry entities through the following steps: obtaining the carbon emissions of each enterprise that has published carbon emission data, and performing statistical characteristic analysis to obtain corresponding statistical characteristic values ​​as the average carbon emissions of the industry entities.

[0013] Optionally, the industry-wide carbon emissions calculation method also includes estimating the average value of the economic correlation indicators of the industry entities through the following steps: obtaining the published operating data of each enterprise that has published carbon emissions data to extract the data corresponding to the economic correlation indicators of each enterprise, and performing statistical feature analysis to obtain corresponding statistical feature values ​​as the average value of the economic correlation indicators of the industry entities.

[0014] Optionally, the industry-wide carbon emissions calculation method further includes: for enterprises that have published carbon emissions data, extracting actual carbon emissions from corresponding carbon emissions published data; and determining carbon emissions estimation errors based on the calculated carbon emissions and the corresponding actual carbon emissions.

[0015] On the other hand, the present invention also provides a device for calculating carbon emissions for the entire industry, comprising: a memory storing a program that can be run on a processor; and the processor, which is configured to implement the method for calculating carbon emissions for the entire industry when executing the program.

[0016] On the other hand, the present invention also provides an industry-wide carbon emissions calculation system, comprising: a database module for storing carbon emissions disclosure data and operating disclosure data about designated industry entities; and the above-mentioned industry-wide carbon emissions calculation device, for calling data from the database module to execute the industry-wide carbon emissions calculation method.

[0017] On the other hand, the present invention provides a machine-readable storage medium having instructions stored thereon, the instructions being used to enable a machine to execute the industry-wide carbon emissions calculation method described in any one of the present applications.

[0018] Through the above technical scheme, the present invention estimates a unified total carbon emission coefficient by introducing economic correlation indicators. There is no need to consider the emission factors unique to each enterprise, which reduces the difficulty and cost of carbon emission estimation. It is also independent of the energy consumption data, emission data and production data of all enterprises, which reduces the difficulty of data acquisition.

[0019] Other features and advantages of the embodiments of the present invention will be described in detail in the subsequent detailed description. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] The accompanying drawings are used to provide a further understanding of the embodiments of the present invention and constitute a part of the specification. Together with the following specific implementations, they are used to explain the embodiments of the present invention, but do not constitute a limitation on the embodiments of the present invention. In the accompanying drawings: Figure 1 It is a schematic diagram of the method of estimating the carbon emissions of enterprises in the prior art; Figure 2 is a flow chart of a method for calculating carbon emissions for the entire industry according to an embodiment of the present invention; Figure 3 is a schematic diagram of an overall process of carbon emission estimation according to an embodiment of the present invention; Figure 4 is a schematic diagram of estimating the carbon emissions of an enterprise based on the economic method-input-output method in an application example of an embodiment of the present invention; Figure 5is a schematic diagram of estimating enterprise carbon emissions based on the economic method-enterprise average intensity method in an application example of an embodiment of the present invention; Figure 6 It is a structural schematic diagram of a device for calculating carbon emissions for all industries according to an embodiment of the present invention. DETAILED DESCRIPTION

[0021] The specific implementation of the embodiment of the present invention is described in detail below in conjunction with the accompanying drawings. It should be understood that the specific implementation described here is only used to illustrate and explain the embodiment of the present invention, and is not used to limit the embodiment of the present invention.

[0022] Figure 2 is a flow chart of a method for calculating carbon emissions for an entire industry according to an embodiment of the present invention, and the method for calculating carbon emissions for an entire industry is executed, for example, by a processor. Figure 2 As shown, the industry-wide carbon emissions calculation method may include the following steps S100-S500.

[0023] Step S100, for an industry entity including multiple enterprises, determining the number of enterprises that have published carbon emission data.

[0024] For example, each industry needs to regularly publish carbon emission data for the entire industry, which includes the carbon emission data of each enterprise in the industry and a list of enterprises that have not published carbon emission data, etc., so that the number of enterprises that have published carbon emission data can be determined by traversing the corresponding carbon emission data for the entire industry. It should be noted that the "published data" involved in the embodiments of the present invention, such as carbon emission published data and business published data, refers to data that has been published to the public and can be imported into the database by various institutions for big data processing.

[0025] Step S200, determine whether the determined number of enterprises is less than a set threshold, if so, execute step S300, otherwise execute step S400.

[0026] For example, the threshold is less than or equal to half of the total number of enterprises under the industry entity. For example, if the total number of enterprises under the ceramic industry in a certain region is 100, then the threshold is set to be less than or equal to 50.

[0027] Step S300, when the determined number of enterprises is less than a threshold, calculate the quotient of the total carbon emissions determined by the industry entity based on raw material consumption relative to the total value of the economic correlation index of the industry entity as the total carbon emission coefficient.

[0028] Among them, the total carbon emission coefficient can also be called the unit economic carbon emission factor coefficient, that is, it describes the unit economic value carbon emission factor determined based on the economic correlation index. The total carbon emission coefficient multiplied by the specific value of the corresponding economic correlation index (hereinafter referred to as the economic value) can correspond to the carbon emissions. For example, first obtain the consumption of various raw materials consumed by the industry entity, and then estimate the total carbon emissions of the industry entity based on the consumption of various raw materials and the standard emission factors corresponding to the raw materials; obtain the operating data of the industry entity to extract the total value of the economic correlation index; finally calculate the total carbon emission coefficient. Among them, the economic correlation index is, for example, one of the operating profit, revenue value and total asset value. In addition, the specific calculation process will be introduced in the application example 1 below, and will not be repeated here.

[0029] Step S400, when the determined number of enterprises is greater than or equal to the threshold, calculate the quotient of the average carbon emissions determined by the industry entity based on the carbon emission disclosure data of some enterprises relative to the average value of the economic correlation index as the total carbon emission coefficient.

[0030] For example, the carbon emissions of each enterprise that has published carbon emission data are obtained, and statistical characteristic analysis is performed to obtain corresponding statistical characteristic values ​​as the average carbon emissions of the industry entity; the operating data of each enterprise that has published carbon emission data is obtained to extract the data corresponding to the economic correlation index of each enterprise, and statistical characteristic analysis is performed to obtain corresponding statistical characteristic values ​​as the average value of the economic correlation index of the industry entity; finally, the total carbon emission coefficient is calculated. Among them, the statistical characteristic value is, for example, one of the mean, median, and mode. In addition, the specific calculation process will be introduced in the second application example below, and will not be repeated here.

[0031] Step S500, calculating the carbon emissions of the corresponding enterprise based on the total carbon emission coefficient and the corresponding economic correlation index of each enterprise under the industry entity.

[0032] For example, the calculated total carbon emission coefficient is multiplied by the corresponding economic value to obtain the carbon emission of the corresponding enterprise.

[0033] In this way, it can be understood that based on the different judgment results regarding the number of enterprises that have published carbon emission data involved in step S200, the embodiment of the present invention respectively adopts the first estimation model formed by step S300 combined with step S500 and the second estimation model formed by step S400 combined with step S500 to estimate the carbon emissions of each enterprise.

[0034] In a preferred embodiment, the above-mentioned industry-wide carbon emission calculation method may also include: for enterprises that have published carbon emission data, extracting actual carbon emissions from the corresponding carbon emission published data; and determining the carbon emission estimation error based on the calculated carbon emissions and the corresponding actual carbon emissions. This is also equivalent to determining the accuracy of the industry-wide carbon emission calculation method of the embodiment of the present invention, and will be described in conjunction with examples below, and will not be repeated here.

[0035] It should be noted that the above-mentioned first estimation model uses the total value of economic correlation indicators, such as the total value of industry operating surplus, which is an economic parameter related to the input and output of the enterprise, so the first estimation model can be recorded as the first estimation model based on the economic method-input-output method. Similarly, the above-mentioned second estimation model uses the average value of economic correlation indicators, such as the average value of industry operating surplus, which is an economic parameter reflecting the average strength of the enterprise, so the second estimation model can be recorded as the second estimation model based on the economic method-enterprise average strength method. The specific application of these two estimation models will be described in conjunction with application examples below, and will not be repeated here.

[0036] Accordingly, Figure 3 This is an example of the overall carbon emission estimation process of the embodiment of the present invention. On the basis of collecting data and determining the accounting boundary (i.e. determining the source of carbon emissions according to industry characteristics), it further uses the first estimation model based on the economic method-input-output method or the second estimation model based on the economic method-enterprise average intensity method to estimate the carbon emissions of enterprises according to the number of enterprises that have published carbon emission data. It is easy to know that the collected data does not require the carbon emission data of all enterprises, but collects the carbon emission data of some enterprises and economic related indicators such as operating surplus, revenue value, and total asset value. This makes the embodiment of the present invention greatly reduce the difficulty of data acquisition compared with the emission factor method in the prior art.

[0037] So, combined Figure 2 and Figure 3 The embodiment of the present invention defines the accounting boundaries of carbon emissions of various industries according to the characteristics of various industries, and establishes two economic method estimation models for carbon emissions of various industries. Then, according to the number of enterprises that have published carbon emission data, the industry economic data estimation method based on input-output situation or the enterprise average intensity estimation method based on data distribution can be adaptively adopted to accurately calculate the carbon emissions of various industries. It can help enterprises understand their own carbon emissions and then take measures to reduce carbon emissions, which is beneficial to the green development of the industry and can be widely used in various carbon emission estimation fields.

[0038] The following describes the implementation of the method for calculating carbon emissions for the entire industry in accordance with an embodiment of the present invention in detail through two application examples. The two application examples correspond to Figure 3The first estimation model of the economic method-input-output method and the second estimation model based on the economic method-enterprise average intensity method are shown. Moreover, these two application examples are both for the ceramic industry, and the fossil fuel-related parameters of the ceramic industry can be found in Table 1 below. The setting of the accounting boundary can refer to Table 2, that is, fossil fuel combustion is determined as the first source of carbon emissions in the ceramic industry, that is, direct carbon emissions; and the electricity and heat consumed by the enterprise are determined as the second source of carbon emissions, that is, indirect carbon emissions. Among them, because the data in different regions are not completely consistent, they are represented by "xx" in Table 2, but these data can be obtained by accessing the database of the regional agency where the corresponding public data is located.

[0039] Table 1

[0040] Table 2

[0041] Application Example 1 This application example 1 targets the scenario where only a very small number of companies publish carbon emission data (less than half of the number of companies in the industry). After collecting the original data such as the ceramic industry's common fossil fuel consumption, standard coal emission factor coefficient, industry operating surplus, industry electricity and heat consumption, most companies' direct / indirect / total actual carbon emissions, each company's operating surplus, each company's revenue value, and each company's total asset value, it defines the carbon emission accounting boundary and further uses the first estimation model based on the economic method-input-output method to estimate the carbon emissions of related companies. The specific estimation process is as follows: Figure 4 As shown, the following steps are included: Step S401, estimating the total carbon emissions of the industry entity .

[0042] Specifically, the total carbon emissions are calculated using the following formula: : (1) in The ceramic industry consumes The consumption of raw materials, For the The standard emission factors of raw materials are as follows, k represents the total number of raw materials. For the specific situation of each raw material, please refer to Table 1 above. The relevant data in Table 1 are disclosed in the "Table of Terminal Energy Consumption by Industry" in the "China Energy Statistical Yearbook", so they can be obtained by querying the corresponding database, and will not be repeated here. In addition, for raw materials and their standard emission factors, please refer to Table 3 below for setting.

[0043] Table 3

[0044] Step S402: estimating the total operating profit of the industry entity .

[0045] For example, the China Input-Output Table publishes the Input-Output Table regularly, so the total operating surplus of the ceramic industry can be obtained by querying the corresponding database. To estimate ,Right now: (2) Step S403: Estimating the total carbon emission coefficient of the ceramic industry .

[0046] Specifically, it is estimated by the following formula: (3) Among them, the total carbon emission coefficient It can also be called the unit economic carbon emission coefficient.

[0047] Step S404, estimate the enterprise Carbon emissions .

[0048] Specifically, the enterprise to be estimated j of ESG reports or annual reports disclose their operating profit values , so the enterprise can be obtained by querying the relevant database Operating profit ,but: (4) Thus, combining the above formulas (3) and (4), we can estimate the enterprise The formula for carbon emissions is: (5) Based on formula (5), it is easy to see that this application example 1 does not require the unique emission factors of each enterprise, nor does it require the energy consumption records of all enterprises to estimate the carbon emissions of each enterprise. Furthermore, the carbon emission estimation error is calculated by the following formula: : (6) in, Indicates the enterprise j The actual carbon emissions can be determined by traversing the carbon emissions published data of the enterprise.

[0049] Furthermore, the accuracy of carbon emission estimation is calculated by the following formula: : (7) Finally, for Enterprise A, Enterprise B, and Enterprise C, Application Example 1 implemented the estimation strategy in Table 4.

[0050] Table 4

[0051] Application Example 2 This application example 2 is aimed at the scenario where more than half of the total number of enterprises have published carbon emission data. The data collection and accounting boundary determination are equivalent to application example 1, and will not be repeated here. The principle of this application example 2 is: obtain the direct / indirect carbon emissions, operating profit, revenue value, total assets and other data of most enterprises in the ceramic industry, calculate the average / median / mode of the above data (the average is used as an example below), and use the above-mentioned second estimation model based on the economic method-enterprise average intensity method to calculate carbon emissions. The specific estimation process is as follows: Figure 5 As shown, the following steps are included: Step S501, estimating the average carbon emissions of the industry entity .

[0052] Specifically, the average carbon emissions are calculated using the following formula: : (8) in The ceramic industry The carbon emission values ​​of enterprises that publish carbon emission data are selected, and n enterprises are selected to calculate the average or median value. In theory, n should exceed half of the number of enterprises in the industry, but it is not limited to this. In practice, more than 30 enterprises can be selected for estimation. However, it should be noted that when the magnitude of enterprises in the relevant industry varies greatly, enterprises with a magnitude similar to that of the target enterprise should be selected for estimation.

[0053] Step S502, estimating the average value of the operating profit, revenue value or total asset value of the industry entity .

[0054] For example, when there are multiple companies in the ceramics industry that publish carbon emission data, the average or median of the operating profit, revenue value or total asset value of the carbon emission companies published in the industry is calculated using the enterprise average intensity method shown in the following formula: As Estimated value: (9) Step S503: Estimating the total carbon emission coefficient of the ceramic industry .

[0055] Specifically, it is estimated by the following formula: (10) Step S504, using the above formula (4), estimate the enterprise Carbon emissions .

[0056] Specifically, the estimated enterprise The formula for carbon emissions is: (11) in, In formula (11), it represents one of operating profit, revenue value or total assets, and corresponds to the parameters used in other formulas.

[0057] Based on formula (11), it is easy to see that this application example 2 also does not require the unique emission factors of each enterprise, nor the energy consumption records of all enterprises. It is equivalent to estimating the carbon emission intensity of the industry by using enterprises in the same industry that have published carbon emissions.

[0058] Furthermore, the emission estimation error can also be estimated according to the above equations (6) and (7): and carbon emissions estimation accuracy .

[0059] Finally, for Enterprise A, Enterprise B and Enterprise C, Application Example 2 implemented the estimation strategy in Table 5.

[0060] Table 5

[0061] It should be noted that this scenario can also use the method in Application Example 1 for partial calculations, but because the carbon emission data disclosed by enterprises is more comprehensive, the effect and accuracy of using the enterprise average intensity method will be higher.

[0062] In addition, when using the enterprise average intensity method in Application Example 2, the number of samples should be increased as much as possible to make the estimated total carbon emission coefficient more robust. In general, Application Example 2 is equivalent to giving an average level to enterprises in the same industry that publish carbon emissions. If the target enterprise does not publish carbon emissions, any carbon emission estimation model is used to give the target enterprise's carbon emissions estimated using the industry average carbon intensity. If the estimated value is high, the target enterprise can be forced to publish its carbon emissions.

[0063] In summary, through the above two application examples, the industry-wide carbon emission calculation method of the embodiment of the present invention essentially designs two carbon emission estimation models based on the economic method, so that the carbon emissions of enterprises can be estimated without obtaining the consumption data of all fossil fuels. For example, it is suitable for enterprises that cannot use the emission factor method to estimate their carbon emissions due to incomplete disclosure of data. In addition, the total carbon emission coefficient of each industry calculated by the industry-wide carbon emission calculation method of the embodiment of the present invention is the same. According to the estimated results, it can also be found whether the enterprise meets the general carbon consumption of the industry. If the results of an enterprise have a large deviation, it means that the carbon emissions of the enterprise are unreasonable, and the enterprise can be urged to make rectifications and reduce carbon emissions.

[0064] Another embodiment of the present invention also provides a device for calculating carbon emissions for the entire industry, such as Figure 6 As shown, it includes: a memory storing a program that can be run on a processor; and the processor, which is configured to implement the industry-wide carbon emission calculation method of the above embodiment when executing the program.

[0065] For example, the industry-wide carbon emissions calculation device is a controller built into a computer, or a stand-alone controller.

[0066] The processor includes a kernel, which retrieves the corresponding program unit from the memory. One or more kernels can be set, and the above-mentioned industry-wide carbon emission calculation method can be executed by adjusting kernel parameters.

[0067] The memory may include non-permanent memory in a computer-readable medium, random access memory (RAM) and / or non-volatile memory, such as read-only memory (ROM) or flash RAM, and the memory includes at least one memory chip.

[0068] Another embodiment of the present invention also provides an industry-wide carbon emissions calculation system, including: a database module for storing carbon emissions disclosure data and operating disclosure data about designated industry entities; and the above-mentioned industry-wide carbon emissions calculation device, for calling data from the database module to execute the industry-wide carbon emissions calculation method of the above-mentioned embodiment.

[0069] For example, the industry-wide carbon emission calculation system is a server that regularly maintains a database of carbon emission disclosure data and business disclosure data of each enterprise in the industry, and then uses a computer to call data from the database to execute the above-mentioned industry-wide carbon emission calculation method to obtain the carbon emission estimation value of the relevant enterprise. In other examples, the industry-wide carbon emission calculation system can also be a PC, PAD, mobile phone, etc., and can use a third-party database.

[0070] An embodiment of the present invention also provides a machine-readable storage medium, on which instructions are stored, and the instructions are used to enable a machine to execute any of the above-mentioned industry-wide carbon emission calculation methods.

[0071] The present application also provides a computer program product, which, when executed on a data processing device, is suitable for executing a program that initializes the steps of the above-mentioned industry-wide carbon emissions calculation method.

[0072] Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, systems, or computer program products. Therefore, the present application may adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, the present application may adopt the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program codes.

[0073] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0074] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0075] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 A step that specifies a function in one or more boxes.

[0076] In a typical configuration, a computing device includes one or more processors (CPU), input / output interfaces, network interfaces, and memory.

[0077] The memory may include non-permanent memory in a computer-readable medium, random access memory (RAM) and / or non-volatile memory in the form of read-only memory (ROM) or flash RAM. The memory is an example of a computer-readable medium.

[0078] Computer readable media include permanent and non-permanent, removable and non-removable media that can be implemented by any method or technology to store information. Information can be computer readable instructions, data structures, program modules or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technology, compact disk read-only memory (CD-ROM), digital versatile disk (DVD) or other optical storage, magnetic cassettes, magnetic tape disk storage or other magnetic storage devices or any other non-transmission media that can be used to store information that can be accessed by a computing device. As defined herein, computer readable media does not include temporary computer readable media (transitory media), such as modulated data signals and carrier waves.

[0079] It should also be noted that the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, commodity or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, commodity or device. In the absence of more restrictions, the elements defined by the sentence "comprises a ..." do not exclude the existence of other identical elements in the process, method, commodity or device including the elements.

[0080] The above are only embodiments of the present application and are not intended to limit the present application. For those skilled in the art, the present application may have various changes and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included within the scope of the claims of the present application.

Claims

1. A method for calculating carbon emissions for the entire industry, characterized in that: The industry-wide carbon emissions calculation method includes: For industry entities that include multiple companies, determine the number of companies that have published carbon emissions data; Determine whether the determined number of enterprises is less than a set threshold. If so, calculate the quotient of the total carbon emissions determined by the industry entity based on raw material consumption relative to the total value of the economic relevance index of the industry entity as the total carbon emission coefficient. Otherwise, calculate the quotient of the average carbon emissions determined by the industry entity based on the carbon emission published data of some enterprises relative to the average value of the economic relevance index as the total carbon emission coefficient; and Based on the total carbon emission coefficient and the corresponding economic correlation index of each enterprise under the industry entity, the carbon emissions of the corresponding enterprise are calculated.

2. The method for calculating carbon emissions for the entire industry according to claim 1, characterized in that: The threshold is less than or equal to half of the total number of enterprises under the industry entity, and / or the economic relevance indicator is one of operating profit, revenue value and total assets.

3. The method for calculating carbon emissions for the entire industry according to claim 1, characterized in that: The industry-wide carbon emissions calculation method further comprises estimating the total carbon emissions of the industry entities by the following steps: Obtaining the consumption of various raw materials consumed by the said industry entity; and The total carbon emissions of the industry entity are estimated based on the consumption of various raw materials and the standard emission factors corresponding to the raw materials.

4. The method for calculating carbon emissions for the entire industry according to claim 1, characterized in that: The industry-wide carbon emissions calculation method further includes estimating the total value of the economic relevance index of the industry entity by the following steps: Obtain the business data published by the industry entity to extract the total value of the economic relevance indicator.

5. The method for calculating carbon emissions for the entire industry according to claim 1, characterized in that: The industry-wide carbon emissions calculation method further includes estimating the average carbon emissions of the industry entities through the following steps: The carbon emissions of various enterprises that have published carbon emission data are obtained, and statistical characteristic analysis is performed to obtain corresponding statistical characteristic values ​​as the average carbon emissions of the industry entity.

6. The method for calculating carbon emissions for the entire industry according to claim 1, characterized in that: The industry-wide carbon emissions calculation method further includes estimating the average value of the economic correlation index of the industry entity by the following steps: Obtain the published operating data of each enterprise that has published carbon emission data to extract the data corresponding to the economic correlation index of each enterprise, and perform statistical characteristic analysis to obtain corresponding statistical characteristic values ​​as the average value of the economic correlation index of the industry entity.

7. The method for calculating carbon emissions for the entire industry according to any one of claims 1 to 6, characterized in that: The industry-wide carbon emissions calculation method also includes: For companies that have published carbon emission data, extract the actual carbon emissions from the corresponding carbon emission data; and A carbon emission estimation error is determined based on the calculated carbon emission and the corresponding actual carbon emission.

8. A device for calculating carbon emissions for the entire industry, characterized in that: include: A memory storing a program that can be executed on the processor; as well as The processor is configured to implement the industry-wide carbon emissions calculation method as described in any one of claims 1 to 7 when executing the program.

9. An industry-wide carbon emissions calculation system, characterized in that: include: A database module for storing carbon emission disclosure data and operational disclosure data on designated industry entities; as well as The industry-wide carbon emissions calculation device described in claim 8 is used to call data from the database module to execute the industry-wide carbon emissions calculation method.

10. A machine-readable storage medium, characterized in that: The machine-readable storage medium stores instructions for enabling a machine to execute the method for calculating carbon emissions for the entire industry as described in any one of claims 1 to 7 of the present application.

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