CN116205321A

CN116205321A - Method, device, equipment and storage medium for determining carbon consumption

Info

Publication number: CN116205321A
Application number: CN202210791495.9A
Authority: CN
Inventors: 张毅骏; 徐汪洋; 黄俊里; 傅可心; 狄东杰; 戴萱
Original assignee: Shanghai Heling Technology Co ltd
Current assignee: Shanghai Heling Technology Co ltd
Priority date: 2022-07-05
Filing date: 2022-07-05
Publication date: 2023-06-02

Abstract

The invention discloses a method, a device, equipment and a storage medium for determining the carbon consumption. According to the method, the estimated electric carbon factors corresponding to the objects to be determined respectively are determined, the reference electric carbon factors corresponding to the at least two reference objects are obtained, the target electric carbon factors of the target objects in the objects to be determined are determined according to the reference electric carbon factors and the estimated electric carbon factors, if the current number of the target objects does not exceed the preset number, the target objects are removed from the objects to be determined, the target electric carbon factors are taken as the reference electric carbon factors, the operation of determining the target objects is carried out in a returning mode, prediction of the electric carbon factors of the objects to be determined is achieved, accuracy of the predicted electric carbon factors is guaranteed, accurate determination of carbon emission of the objects is achieved, manual analysis is not needed, and the problems that the accuracy of carbon consumption for manual analysis is low, the efficiency is low and the cost is high are solved.

Description

Method, device, equipment and storage medium for determining carbon consumption

Technical Field

The present invention relates to the field of carbon emission technologies, and in particular, to a method, an apparatus, a device, and a storage medium for determining a carbon amount.

Background

With the increase of economy and the progress of society, people pay more attention to the harmonious development of people and nature, and the requirement for coexistence of environmental protection and sustainable development reaches a new height. Today, various business processes involve energy consumption and the consequent carbon emissions. Studies have shown that carbon-related gases such as carbon dioxide have a significant impact on global climate, which can cause many worldwide hazards such as the occurrence of extreme weather in various places, elevated sea level, etc. In dealing with carbon-related climatic problems, significant human and material costs are required.

In order to improve the energy problem most effectively, it is necessary to reduce carbon emission and to neutralize the consumed carbon emission to the maximum extent. Accordingly, it is necessary to analyze the amount of carbon used by each industry or each enterprise to formulate a carbon reduction scheme for each industry or each enterprise. In the prior art, the carbon consumption of each industry or each enterprise is usually required to be manually analyzed, however, the accurate carbon consumption cannot be obtained by the manual analysis mode, and the efficiency is low, and the cost of manpower and material resources is high.

In the process of realizing the invention, the prior art is found to have at least the following technical problems: the accuracy of the analyzed carbon consumption is low, the analysis efficiency is low and the analysis cost is high.

Disclosure of Invention

The invention provides a method, a device, equipment and a storage medium for determining the carbon quantity, which are used for solving the problems of lower accuracy, low efficiency and high cost of the carbon quantity for artificial analysis in the prior art.

According to an aspect of the present invention, there is provided a method for determining an amount of carbon, comprising:

determining pre-estimated electric carbon factors corresponding to at least two objects to be determined respectively, and obtaining reference electric carbon factors corresponding to at least two reference objects respectively;

determining a target object in the objects to be determined based on the reference electric carbon factors and the estimated electric carbon factors, and determining a target electric carbon factor corresponding to the target object;

judging whether the current number of the target objects exceeds a preset number, if not, removing the target objects from the objects to be determined, taking the target electric carbon factors as reference electric carbon factors, and returning to execute the operation of determining the target objects in the objects to be determined based on the reference electric carbon factors and the estimated electric carbon factors;

and determining the predicted carbon emission corresponding to each target object based on the target electric carbon factor corresponding to each target object and the actual power consumption of each target object.

According to another aspect of the present invention, there is provided a carbon amount determination apparatus comprising:

the prediction factor determining module is used for determining the prediction electric carbon factors corresponding to at least two objects to be determined respectively and obtaining the reference electric carbon factors corresponding to at least two reference objects respectively;

the target factor determining module is used for determining a target object in the objects to be determined based on the reference electric carbon factors and the estimated electric carbon factors and determining a target electric carbon factor corresponding to the target object;

the iteration determining module is used for judging whether the current number of the target objects exceeds the preset number, if not, the target objects are removed from the objects to be determined, the target electric carbon factors are used as reference electric carbon factors, and the operation of determining the target objects in the objects to be determined based on the reference electric carbon factors and the estimated electric carbon factors is carried out in a returning mode;

and the carbon consumption calculation module is used for determining the predicted carbon emission corresponding to each target object based on the target electric carbon factor corresponding to each target object and the actual electricity consumption of each target object.

According to another aspect of the present invention, there is provided an electronic apparatus including:

At least one processor; and

a memory communicatively coupled to the at least one processor; wherein,,

the memory stores a computer program executable by the at least one processor to enable the at least one processor to perform the carbon usage determination method of any one of the embodiments of the present invention.

According to another aspect of the present invention, there is provided a computer-readable storage medium storing computer instructions for causing a processor to execute the method for determining a carbon amount according to any one of the embodiments of the present invention.

According to the technical scheme, the estimated electric carbon factors corresponding to the objects to be determined are determined, the reference electric carbon factors corresponding to the at least two reference objects are obtained, the target electric carbon factors of the target objects in the objects to be determined are determined according to the reference electric carbon factors and the estimated electric carbon factors, if the current number of the target objects does not exceed the preset number, the target objects are removed from the objects to be determined, the target electric carbon factors are taken as the reference electric carbon factors, the operation of determining the target objects in the objects to be determined based on the reference electric carbon factors and the estimated electric carbon factors is performed, the prediction of the electric carbon factors of the objects to be determined is achieved, the accuracy of the predicted electric carbon factors is ensured, the accurate determination of the carbon emission of the objects is achieved according to the electric carbon factors and the actual electricity consumption, the problems of low accuracy, low efficiency and high cost of the artificial analysis of the carbon amounts in the prior art are solved, and the electric carbon factors of the other objects are not known through the reference electric carbon factors, the accuracy of the electric carbon factors is further achieved.

It should be understood that the description in this section is not intended to identify key or critical features of the embodiments of the invention or to delineate the scope of the invention. Other features of the present invention will become apparent from the description that follows.

Drawings

In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for the description of the embodiments will be briefly described below, and it is apparent that the drawings in the following description are only some embodiments of the present invention, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.

FIG. 1 is a schematic flow chart of a method for determining a carbon amount according to an embodiment of the present invention;

FIG. 2 is a schematic flow chart of a method for determining a carbon amount according to a second embodiment of the present invention;

FIG. 3 is a schematic view showing a structure of a carbon amount determining apparatus according to a third embodiment of the present invention;

fig. 4 is a schematic structural diagram of an electronic device according to a fourth embodiment of the present invention.

Detailed Description

In order that those skilled in the art will better understand the present invention, a technical solution in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in which it is apparent that the described embodiments are only some embodiments of the present invention, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the present invention without making any inventive effort, shall fall within the scope of the present invention.

It should be noted that the terms "first," "second," and the like in the description and the claims of the present invention and the above figures are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged where appropriate such that the embodiments of the invention described herein may be implemented in sequences other than those illustrated or otherwise described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.

Example 1

Fig. 1 is a schematic flow chart of a method for determining a carbon consumption according to an embodiment of the present invention, where the method may be applied to determining electric carbon factors of a plurality of enterprises with other unknown electric carbon factors according to a plurality of known electric carbon factors, and further predict carbon emission of the enterprises according to the electric carbon factors, or determine electric carbon factors of a plurality of industries with other unknown electric carbon factors according to a plurality of industries with known electric carbon factors, and further predict carbon emission of the industries according to the electric carbon factors, and the method may be performed by a carbon consumption determining device, which may be implemented in hardware and/or software, and the carbon consumption determining device may be configured in an electronic device such as a computer, a mobile phone, an intelligent tablet, or a server. As shown in fig. 1, the method includes:

S110, determining estimated electric carbon factors corresponding to at least two objects to be determined respectively, and obtaining reference electric carbon factors corresponding to at least two reference objects respectively.

In this embodiment, the electrical carbon factor may be a ratio of the carbon emissions of electricity to the carbon emissions of all energy, where the carbon emissions of all energy may include the carbon emissions of water, electricity, natural gas, coal gas, and other energy sources. Illustratively, the electrical carbon factor may be expressed by the following formula:

ρ=the amount of carbon emissions of electricity/the amount of carbon emissions of energy;

the object to be determined may be an industry of an electrical carbon factor of an unknown industry, or may be an enterprise of an electrical carbon factor of an unknown enterprise. If the object to be determined is an industry of the unknown industry electric carbon factor, such as a fuel production industry, an automobile production industry, a chemical industry and the like, the target electric carbon factor of a certain industry can be determined in the industry of the electric carbon factors of all the unknown industries by determining the estimated electric carbon factor of the industry of the electric carbon factor of all the unknown industries. If the object to be determined is an enterprise of unknown enterprise electrical carbon factors, determining the target electrical carbon factor of a certain industry in the enterprises of the unknown enterprise electrical carbon factors by determining the estimated electrical carbon factors of the enterprises of the unknown enterprise electrical carbon factors.

Specifically, the estimated electric carbon factor may be determined according to the sub-electric carbon factor corresponding to each sub-object in the object to be determined. For example, the estimated electrical carbon factor of the industry may be determined according to the sub-electrical carbon factor corresponding to each enterprise, or the estimated electrical carbon factor of the enterprise may be determined according to the sub-electrical carbon factor corresponding to each unit.

For example, if the object to be determined is an industry, the sub-electric carbon factor corresponding to the enterprise can be calculated according to the enterprise known to use energy data in the industry, and then the estimated electric carbon factor of the industry can be determined according to the sub-electric carbon factors of each enterprise. For example, the estimated electrical carbon factor of the industry may be determined according to a mean value of the sub-electrical carbon factors of each enterprise, or the estimated electrical carbon factor of the industry may be determined according to the sub-electrical carbon factor of each enterprise and the weight corresponding to each enterprise.

It should be noted that, the estimated electric carbon factor corresponding to the object to be determined is not the accurate electric carbon factor of the object to be determined, and because the estimated electric carbon factor is calculated based on a part of sub-objects in the object to be determined, the estimated electric carbon factor can be used as an electric carbon factor estimated value for the object to be determined, and further, the subsequent processing is required to obtain the accurate electric carbon factor.

In this embodiment, the reference object may be an industry for which an industry electrical carbon factor is known, or an enterprise for which an enterprise electrical carbon factor is known. It should be noted that, the object to be determined and the reference object belong to the same-level object, if the object to be determined is an industry, the reference object is also an industry, and if the object to be determined is an enterprise, the reference object is also an enterprise.

S120, determining a target object in the objects to be determined based on the reference electric carbon factors and the estimated electric carbon factors, and determining a target electric carbon factor corresponding to the target object.

Specifically, the target electrical carbon factor corresponding to the target object can be determined in each object to be determined according to each reference electrical carbon factor and each estimated electrical carbon factor.

For example, one object may be randomly selected from the objects to be determined as a target object, an average value of reference electric carbon factors between any two reference objects is calculated based on the reference electric carbon factors corresponding to the reference objects, and further, according to a difference value between each average value and an estimated electric carbon factor of the target object, the average value with the smallest difference value is used as the target electric carbon factor of the target object.

In a specific embodiment, determining the target electrical carbon factor corresponding to the target object in each object to be determined based on each reference electrical carbon factor and the estimated electrical carbon factor corresponding to each object to be determined, includes: determining a factor mean value based on each reference electrical carbon factor; determining target objects in the objects to be determined according to the factor mean value and the estimated electric carbon factors respectively corresponding to the objects to be determined; and taking the reference mean value factor as a target electrical carbon factor corresponding to the target object.

The factor mean may be the mean between all the reference electric carbon factors, or may be the mean between any two reference electric carbon factors. Specifically, after calculating the factor mean value, the object to be determined, which is closest to the factor mean value, of the estimated electric carbon factor can be determined as a target object, and then the factor mean value is determined as the target electric carbon factor of the target object; or, a target object can be selected randomly from the objects to be determined, the factor mean value closest to the estimated electric carbon factor is determined in the factor mean values according to the estimated electric carbon factor of the target object, and the closest factor mean value is determined as the target electric carbon factor corresponding to the target object.

The factor mean value is calculated, and the target object is determined according to the factor mean value and each estimated electric carbon factor, which has the following advantages: the difference between each object to be determined and the reference object, such as enterprise difference or industry difference, can be determined through the factor mean value and each estimated electric carbon factor, and then the object to be determined with the smallest difference is determined as the target object, so that electric carbon factors of other industries strongly related to the industry are predicted based on the electric carbon factors of the industry, or electric carbon factors of other enterprises strongly related to the enterprise are predicted based on the electric carbon factors of the enterprise, and the accuracy of the predicted electric carbon factors is ensured.

Optionally, determining the target object in each object to be determined according to the factor mean value and the estimated electric carbon factor corresponding to each object to be determined, including: calculating the difference value of the electric carbon factors corresponding to the objects to be determined respectively based on the factor mean value and the estimated electric carbon factors corresponding to the objects to be determined respectively; and determining the object to be determined with the minimum electric carbon factor difference as a target object according to the electric carbon factor difference value corresponding to each object to be determined.

The difference value of the electrical carbon factor corresponding to the object to be determined may be an absolute value of a difference value between the factor mean value and the estimated electrical carbon factor corresponding to the object to be determined. Specifically, after the electric carbon factor difference value of each object to be determined is calculated, the object to be determined with the smallest electric carbon factor difference value is determined as a target object, and then the reference mean value factor is taken as the target electric carbon factor of the target object. By calculating the electric carbon factor difference value corresponding to each object to be determined, and further determining the target object according to each electric carbon factor difference value, accurate determination of the target object is achieved, electric carbon factors of other industries or enterprises closest to the industry or enterprise of the known electric carbon factors can be determined according to the industry or enterprise of the known electric carbon factors, accuracy of estimating the electric carbon factors of the industry or enterprise is ensured, and the electric carbon factors of the industry with larger difference from one industry are prevented from being predicted according to the electric carbon factors of the industry, such as the electric carbon factors of the food processing industry are predicted according to the electric carbon factors of the equipment manufacturing industry.

It should be noted that, in this step, each time it is performed, determination of one or more target objects may be implemented, and may be specifically determined by the number of reference electric carbon factors. For example, knowing the reference electric carbon factors of the industry X and the industry Y, and the estimated electric carbon factors of the industry a, the industry B, the industry C, and the industry D, by executing S120, the factor average value between the industry X and the industry Y may be calculated first, further, the difference between the estimated electric carbon factors of A, B, C, D and the factor average value may be calculated separately, the industry (such as the industry C) with the smallest difference may be determined as the target object, and the factor average value of the industry X and the industry Y may be given to the industry C.

S130, judging whether the current number of the target objects exceeds the preset number, if not, removing the target objects from the objects to be determined, taking the target electric carbon factors as the reference electric carbon factors, and returning to execute the operation of determining the target objects in the objects to be determined based on the reference electric carbon factors and the estimated electric carbon factors.

In this embodiment, after determining the target object from the objects to be determined in S120, the prediction of the electrical carbon factor may be continued for the other objects to be determined.

Specifically, it may be determined whether the current number of target objects exceeds a preset number, where the preset number may be a preset number threshold of objects to be determined that may predict the electrical carbon factor. If the current number does not exceed the preset number, the target object may be removed from the object to be determined, and the operation of S120 is performed back with the target electrical carbon factor of the target object as the reference electrical carbon factor until the current number of the target object exceeds the preset number.

In an alternative embodiment, the target electric carbon factor is taken as the reference electric carbon factor, and the operation of determining the target object in each object to be determined based on each reference electric carbon factor and each estimated electric carbon factor is performed in a returning way, which specifically can be that: for each reference electric carbon factor, determining a factor mean value corresponding to the reference electric carbon factor based on the target electric carbon factor and the reference electric carbon factor, and for each factor mean value, determining a new target object in each object to be determined based on the factor mean value and the estimated electric carbon factor corresponding to each object to be determined respectively, and determining the target electric carbon factor corresponding to the new target object.

Specifically, for each factor mean value, a target object may be randomly determined in each object to be determined, or an object to be determined corresponding to a predicted electric carbon factor may be randomly determined as a target object in a plurality of predicted electric carbon factors close to the factor mean value, and then the factor mean value is taken as the target electric carbon factor of the target object. It should be noted that the number of target objects determined in this process is equal to the number of factor averages.

The method for determining the new target object in each object to be determined based on the factor mean value and the estimated electric carbon factor corresponding to each object to be determined respectively, and determining the target electric carbon factor corresponding to the new target object includes: determining the difference value between the factor mean value and each estimated electric carbon factor, and determining the object to be determined corresponding to the estimated electric carbon factor with the minimum difference value as a new target object; and determining the factor mean value as a target electrical carbon factor corresponding to the new target object.

That is, for each factor mean, the object to be determined, which has the smallest difference between the estimated electric carbon factor and the factor mean, is determined as the target object, and the factor mean is taken as the target electric carbon factor of the target object. Along the above example, after executing the step S120 once, the electric carbon factor of the industry C is obtained, and at this time, the electric carbon factor prediction can be performed on the remaining industries a, B, and D according to the reference electric carbon factors of the industry C, the industry X, and the industry Y. Specifically, a factor mean p between industry C and industry X can be calculated, a factor mean q between industry C and industry Y can be calculated, an industry A with the estimated electric carbon factor closest to the factor mean p is determined as a target object, and an industry D with the estimated electric carbon factor closest to the factor mean q is determined as a target object.

The method for selecting the object to be determined, which is closest to the estimated electric carbon factor and the factor mean, as the target object has the advantages that: the difference between the estimated electric carbon factor of the target object and the factor mean value can be reduced, and the accuracy of the determined target electric carbon factor of the target object is further ensured.

In this embodiment, whether the current number of target objects exceeds the preset number may be determined as a cycle cut-off condition in this step. Compared with determining the target electrical carbon factors of all the objects to be determined through circulation, the embodiment can limit the determination of the electrical carbon factors of part or all of the objects to be determined by judging whether the number of the target objects exceeds the preset number.

The advantages of this arrangement are that: the prediction accuracy of the electrical carbon factor can be ensured. Theoretically, the electric carbon factors of each industry or each enterprise should be uniformly distributed in [0,1], and the factor mean value of each reference electric carbon factor is determined as the target electric carbon factor of the target object according to the embodiment, so that the target electric carbon factor of each target object is concentrated between each reference electric carbon factor, for example, the reference electric carbon factors are 0.8 and 0.9, the target electric carbon factor of the target object determined for the first time is 0.85, the target electric carbon factor of each target object determined for the second time is 0.825 and 0.875, and the like, and all the target electric carbon factors are known to be located in [0.8,0.9]. If the cycle cutoff condition is not set, the number of target electric carbon factors is too large, namely the number of target objects in [0.8,0.9] is too large, and even distribution of electric carbon factors of each industry cannot be met, so that in order to ensure the accuracy of the predicted electric carbon factors, whether the number of target objects exceeds the preset number is judged by setting the cycle cutoff condition, so that the number of the predicted target electric carbon factors in the interval range between the reference electric carbon factors does not exceed the preset number as much as possible, the uniformity of the electric carbon factors of each industry or each enterprise is ensured, and the accuracy of the predicted electric carbon factors is further ensured.

Of course, the number of target electric carbon factors finally predicted may be more than a preset number, such as a preset number of 5, the number of target objects determined for the first time is 1, the number of target objects determined for the second time is 2, and the number of target objects determined for the third time is 4, at which time the number of target objects exceeds 5, at which time prediction of electric carbon factors of other objects to be determined may be terminated.

In this embodiment, the preset number may be preset by the user, or may be determined according to the number of objects to be determined.

In a specific embodiment, before determining the target object in each object to be determined based on each reference electric carbon factor and each estimated electric carbon factor, and determining the target electric carbon factor corresponding to the target object, the method provided in this embodiment further includes: determining a first number of objects to be determined, and a reference range between the reference electrical carbon factors; the preset number is determined based on the first number and the reference range.

Wherein the reference range between the reference electrical carbon factors may be the difference between any two reference electrical carbon factors. As in the above examples, the reference electrical carbon factor was 0.8 and 0.9, respectively, and the reference range was 0.1. Specifically, the predetermined number may be determined based on the first number and the reference range, and the intermediate value of the reference range may be multiplied by the first number, and the predetermined number may be obtained based on the result of the multiplication. For example, see the following formula:

Wherein k is a preset number, ρx, ρ _y Respectively the reference electric carbon factors, |ρ _x -ρ _y I denotes a reference range, N being a first number of objects to be determined. That is, the multiplication result of the intermediate value of the preset number not exceeding the reference range and the first number may randomly select an integer from the values smaller than the multiplication result as the preset number.

The method for determining the preset number according to the number of the objects to be determined and the reference electrical carbon factors has the advantages that: the distribution condition of the electric carbon factors of the objects to be determined in the whole interval range can be determined by combining the number of the objects to be determined, and the number of the target electric carbon factors which can be inserted between the reference electric carbon factors is determined based on the difference between the distribution condition and the reference electric carbon factors, so that the determined target electric carbon factors of the target objects are uniformly distributed in the whole interval range.

And S140, determining the expected carbon emission corresponding to each target object based on the target electric carbon factor corresponding to each target object and the actual power consumption of each target object.

Specifically, for each target object, after the target electrical carbon factor of the target object is obtained, the actual electricity consumption of the target object can be obtained, and then the predicted carbon emission of the target object is determined according to the actual electricity consumption and the target electrical carbon factor.

For example, the actual electricity consumption of the target object in the set period of time, such as the actual electricity consumption of about 3 months, may be obtained, and the actual electricity consumption is divided by the target electricity carbon factor to obtain the predicted carbon emission of the target object.

According to the technical scheme, the estimated electric carbon factors corresponding to the objects to be determined are determined, the reference electric carbon factors corresponding to the at least two reference objects are obtained, the target electric carbon factors of the target objects in the objects to be determined are determined according to the reference electric carbon factors and the estimated electric carbon factors, if the current number of the target objects does not exceed the preset number, the target objects are removed from the objects to be determined, the target electric carbon factors are taken as the reference electric carbon factors, the operation of determining the target objects in the objects to be determined based on the reference electric carbon factors and the estimated electric carbon factors is performed, accurate determination of the electric carbon factors of the objects to be determined is achieved, the predicted carbon emission is further determined according to the electric carbon factors and the actual electricity consumption, prediction of the electric carbon factors of the objects to be determined is achieved, the accuracy of the predicted electric carbon factors is guaranteed, the problem that in the prior art, the accuracy of the human analysis for the carbon amount is low, the efficiency is low, the cost is high is solved, and the accuracy of the electric carbon factors of the other objects to be predicted is guaranteed through the reference electric carbon factors of the objects, and the electricity emission of the unknown carbon factors is achieved.

Example two

Fig. 2 is a schematic flow chart of a method for determining a carbon amount according to a second embodiment of the present invention, where a process of determining estimated electric carbon factors corresponding to respective objects to be determined is exemplarily described based on the foregoing embodiments. As shown in fig. 2, the method includes:

s210, determining a first sub-object and a second sub-object corresponding to the object to be determined according to each object to be determined, and obtaining the weight of the electric carbon factor corresponding to each first sub-object and the sub-electric carbon factor corresponding to each second sub-object.

Wherein the first sub-object may be a sub-object for which production data is known. For example, if the object to be determined is an industry, the first sub-object is an enterprise in the industry that can obtain the output data; if the object to be determined is an enterprise, the first sub-object is a unit in which output data can be obtained in the enterprise. The yield data may be a total production value of the first sub-object over a set period of time, e.g., a total production value over 12 months.

The second sub-object may be a sub-object of known energy usage data. If the object to be determined is an industry, the second sub-object is an enterprise in the industry, where the enterprise can acquire energy consumption data; if the object to be determined is an enterprise, the second sub-object is a unit in which energy consumption data can be obtained in the enterprise. The energy consumption data may be the usage data of the second sub-object for various energy sources in a set period of time, for example, the electricity consumption, the water consumption, the air consumption in 12 months, and the like.

In this embodiment, after determining each first sub-object and each second sub-object in the object to be determined, the electric carbon factor weight of each first sub-object and the sub-electric carbon factor of each second sub-object may be obtained. The electric carbon factor weight of each first sub-object and the sub-electric carbon factor of each second sub-object can be preset; alternatively, the output data and the energy consumption data can be calculated respectively.

In a specific embodiment, obtaining the weight of the electrical carbon factor corresponding to each first sub-object and the electrical carbon factor corresponding to each second sub-object respectively includes: acquiring output data corresponding to each first sub-object, and determining the weight of the electrical carbon factor corresponding to each first sub-object based on the output data corresponding to each first sub-object; and acquiring the application energy data respectively corresponding to the second sub-objects, and determining the sub-electrical carbon factors respectively corresponding to the second sub-objects based on the application energy data respectively corresponding to the second sub-objects.

Specifically, for each first sub-object, the electrical carbon factor weight of the first sub-object may be calculated according to the output data of the first sub-object and the output data of the object to be determined to which the first sub-object belongs. For example, see the following formula:

Wherein alpha is _i The electrical carbon factor weight for the i first sub-object.

Specifically, for each second sub-object, according to the usage amount of each energy usage type in the energy usage data of the second sub-object and the carbon-row conversion rate (which can be checked according to the published conversion standard) corresponding to each energy usage type, the carbon displacement of the usage amount corresponding to each energy usage type in the energy usage data can be calculated, and then the carbon displacement of electricity is divided by the carbon displacement of all energy usage to obtain the sub-electric carbon factor of the second sub-object.

It should be noted that, the first sub-object capable of calculating the weight of the electric carbon factor and the second sub-object capable of calculating the electric carbon factor may be the same sub-object or may be different sub-objects, and specifically, the first sub-object and the second sub-object are selected according to whether each sub-object in the object to be determined has output data and energy consumption data.

In the embodiment, the electrical carbon factor weight corresponding to the first sub-object is calculated according to the output data of the first sub-object, and the sub-electrical carbon factor corresponding to the second sub-object is calculated according to the energy consumption data of the second sub-object, so that the electrical carbon factor weight and the sub-electrical carbon factor are accurately determined, further the estimated electrical carbon factor is accurately determined, and the estimated electrical carbon factor is as close to the actual industrial situation as possible.

S220, determining estimated electric carbon factors corresponding to the objects to be determined based on the electric carbon factor weights and the sub-electric carbon factors.

Specifically, after the weight of each electric carbon factor and each sub-electric carbon factor of the object to be determined are obtained, the estimated electric carbon factor of the object to be determined can be further calculated. It should be noted that, because the weight of each electric carbon factor and each sub-electric carbon factor are calculated according to the related data of each sub-object in the object to be determined, the accuracy of the estimated electric carbon factor determined based on the weight of each electric carbon factor and each sub-electric carbon factor is higher, and the estimated electric carbon factor can represent the electric carbon factor of the object to be determined to a certain extent.

For example, each sub-electric carbon factor may be multiplied by each electric carbon factor weight, and the multiplied results summed to obtain the estimated electric carbon factor.

In a specific embodiment, determining the estimated electric carbon factor corresponding to the object to be determined based on the electric carbon factor weights and the sub-electric carbon factors includes the steps of:

step 1, calculating a weight mean value and a weight variance corresponding to an object to be determined based on the weight of each electrical carbon factor, and constructing a first normal distribution corresponding to the object to be determined according to the weight mean value and the weight variance;

Step 2, calculating an electric carbon factor mean value and an electric carbon factor variance corresponding to the object to be determined based on the sub electric carbon factors, and constructing a second normal distribution corresponding to the object to be determined according to the electric carbon factor mean value and the electric carbon factor variance;

and 3, determining the estimated electric carbon factor corresponding to the object to be determined according to the first normal distribution and the second normal distribution.

In step 1, the weighted average may be an average of all the electric carbon factor weights, and the weight variance may be a variance of all the electric carbon factor weights. The weight mean and weight variance are calculated as follows:

wherein,,

for the weight average value corresponding to the w-th object to be determined, alpha _wi Is the firstThe electric carbon factor weight corresponding to the ith first sub-object in the w objects to be determined, k is the number of the first sub-objects in the w objects to be determined, and +.>

Is the weight variance corresponding to the w-th object to be determined. The first normal distribution constructed based on the weight mean and the weight variance may be +.>

In step 2, the electric carbon factor mean may be a mean of all the sub-electric carbon factors, and the electric carbon factor variance may be a variance of all the sub-electric carbon factors. Illustratively, the electrical carbon factor mean and electrical carbon factor variance are calculated as follows:

Wherein,,

for the mean value of the electrical carbon factors corresponding to the w-th object to be determined, ρ _wi For the sub-carbon factor corresponding to the ith second sub-object in the w-th object to be determined, m is the number of the second sub-objects in the w-th object to be determined,/>

Is the electrical carbon factor variance corresponding to the w-th object to be determined. The second normal distribution constructed based on the mean value of the electrical carbon factor and the variance of the electrical carbon factor may be +.>

In step 3, exemplary, a preset number of random weights may be randomly selected from the first normal distribution, a preset number of random factors may be randomly selected from the second normal distribution, the randomly selected random weights may be multiplied by the random factors, and the multiplied results may be added to obtain the estimated electrical carbon factor.

Alternatively, in a specific embodiment, determining the estimated electrical carbon factor corresponding to the object to be determined according to the first normal distribution and the second normal distribution may include the following steps:

step 31, determining initial weights and initial electrical carbon factors;

step 32, determining a current random weight based on the first normal distribution, updating an initial weight according to the current random weight and the initial weight, determining a current random carbon factor based on the second normal distribution, and updating an initial electrical carbon factor according to the current random weight, the current random carbon factor and the initial electrical carbon factor;

And 33, judging whether the initial weight is smaller than a preset weight threshold, if so, returning to execute the operation of determining the current random weight based on the first normal distribution until the initial weight is larger than or equal to the preset weight threshold, and determining the initial electric carbon factor as the estimated electric carbon factor corresponding to the object to be determined.

In the above step 31, the initial weight and the initial electrical carbon factor may be 0.

In the above step 32, a value may be randomly sampled from the first normal distribution to obtain a current random weight, the current random weight is added to the initial weight, and the initial weight is updated based on the result of the addition. And randomly sampling a value from the second normal distribution to obtain a current random carbon factor, multiplying the current random weight by the current random carbon factor, and updating the initial carbon factor based on the sum of the multiplied result and the initial carbon factor. Namely, adopt

Update->

Wherein (1)>

For the initial electrical carbon factor, < >>

For the current random weight +.>

Is the current random carbon factor.

In the step 33, it is determined whether the initial weight is smaller than a preset weight threshold, where the preset weight threshold may be 1, and if the initial weight is greater than or equal to the preset weight threshold, the initial electrical carbon factor at this time may be determined as the estimated electrical carbon factor corresponding to the object to be determined.

If the initial weight is less than the preset weight threshold, the loop execution step 32 is returned until the initial weight is greater than or equal to the preset weight threshold, and after the condition that the initial weight is greater than or equal to the preset weight threshold is satisfied, the initial electrical carbon factor can be determined as the estimated electrical carbon factor corresponding to the object to be determined.

It should be noted that, the loop determination condition in the above step 33 is whether the initial weight is smaller than the preset weight threshold, which is set for the purpose of: the sum of the weights in the calculated estimated electric carbon factors does not exceed a preset weight threshold as much as possible, and the accuracy of the estimated electric carbon factors is ensured.

In the above steps 31-33, the estimated electric carbon factor is determined by random sampling and cyclic calculation, so that the estimated electric carbon factor is accurately determined, and the accuracy of the estimated electric carbon factor is ensured while the randomness of the estimated electric carbon factor is ensured.

Based on the above manner, the estimated electric carbon factor of each object to be determined is determined, so that the target object and the target electric carbon factor of the target object are determined according to the estimated electric carbon factors.

S230, acquiring reference electrical carbon factors corresponding to at least two reference objects respectively, determining target objects in the objects to be determined based on the reference electrical carbon factors and the estimated electrical carbon factors, and determining target electrical carbon factors corresponding to the target objects.

S240, judging whether the current number of the target objects exceeds the preset number, if not, removing the target objects from the objects to be determined, taking the target electric carbon factors as the reference electric carbon factors, and returning to execute the operation of determining the target objects in the objects to be determined based on the reference electric carbon factors and the estimated electric carbon factors.

S250, determining the predicted carbon emission corresponding to each target object based on the target electric carbon factor corresponding to each target object and the actual electricity consumption of each target object.

According to the technical scheme of the embodiment, aiming at each object to be determined, the weight of the electric carbon factor of each first sub-object in the object to be determined and the sub-electric carbon factor of each second sub-object are obtained, and further, the estimated electric carbon factor corresponding to the object to be determined is determined according to the weight of each electric carbon factor and each sub-electric carbon factor, so that the estimated electric carbon factor is determined through the weight of the electric carbon factor and the sub-electric carbon factor of the sub-object, the determined estimated electric carbon factor is enabled to be as close as possible to the actual condition of the object to be determined, and accurate determination of the estimated electric carbon factor of each object to be determined is achieved.

It should be noted that, taking the industry as an example, the object to be determined and the target object are the industries, the method for determining the carbon consumption provided in the embodiment has no requirement on the number and the list of enterprises in which the total value is known to be produced in the industry, has no requirement on the number and the list of enterprises in which the energy consumption data is known in the industry, and has wide applicability. And if one enterprise is a compound enterprise, namely, belongs to a plurality of industries at the same time, the energy consumption data or the total production value of the enterprise can be reused, and the electric carbon factor weight or the sub-electric carbon factor of the enterprise can be used for carrying out electric carbon factor prediction of a plurality of industries.

Example III

Fig. 3 is a schematic structural view of a carbon amount determining apparatus according to a third embodiment of the present invention. As shown in fig. 3, the apparatus includes a pre-estimate factor determination module 310, a target factor determination module 320, an iteration determination module 330, and a carbon usage amount calculation module 340.

The pre-estimation factor determining module 310 is configured to determine pre-estimation electric carbon factors corresponding to at least two objects to be determined respectively, and obtain reference electric carbon factors corresponding to at least two reference objects respectively;

a target factor determining module 320, configured to determine a target object in each of the objects to be determined based on each of the reference electrical carbon factors and each of the estimated electrical carbon factors, and determine a target electrical carbon factor corresponding to the target object;

the iteration determining module 330 is configured to determine whether the current number of the target objects exceeds a preset number, if not, reject the target objects from the objects to be determined, take the target electric carbon factors as reference electric carbon factors, and return to perform an operation of determining the target objects in the objects to be determined based on the reference electric carbon factors and the estimated electric carbon factors;

the carbon consumption calculation module 340 is configured to determine an estimated carbon emission amount corresponding to each of the target objects based on the target electrical carbon factor corresponding to each of the target objects and the actual electricity consumption of each of the target objects.

According to the technical scheme, the estimated electric carbon factors corresponding to the objects to be determined are determined, the reference electric carbon factors corresponding to the at least two reference objects are obtained, the target electric carbon factors of the target objects in the objects to be determined are determined according to the reference electric carbon factors and the estimated electric carbon factors, if the current number of the target objects does not exceed the preset number, the target objects are removed from the objects to be determined, the target electric carbon factors are taken as the reference electric carbon factors, the operation of determining the target objects in the objects to be determined based on the reference electric carbon factors and the estimated electric carbon factors is performed, the prediction of the electric carbon factors of the objects to be determined is achieved, the accuracy of the predicted electric carbon factors is ensured, the accurate determination of the carbon emission of the objects is achieved according to the electric carbon factors and the actual electricity consumption, the problems of low accuracy, low efficiency and high cost of the human analysis of the carbon amounts in the prior art are solved, and the electric carbon factors of the other objects are not known through the reference electric carbon factors, the accuracy of the electric carbon factors of the objects is further achieved, and the carbon emission of the unknown objects is guaranteed.

On the basis of the above embodiment, optionally, the iteration determining module 330 is further configured to determine, for each of the reference electrical carbon factors, a factor mean value corresponding to the reference electrical carbon factor based on the target electrical carbon factor and the reference electrical carbon factor; and determining a new target object in the objects to be determined based on the factor mean value and the estimated electric carbon factors corresponding to the objects to be determined respectively, and determining the target electric carbon factor corresponding to the new target object.

On the basis of the above embodiment, optionally, the iteration determining module 330 is further configured to determine a difference between the factor mean and each of the estimated electric carbon factors, and determine an object to be determined corresponding to the estimated electric carbon factor with the smallest difference as a new target object; and determining the factor mean value as a target electrical carbon factor corresponding to the new target object.

On the basis of the above embodiment, optionally, the apparatus further includes a preset number determining module, configured to determine the first number of objects to be determined and a reference range between the reference electrical carbon factors; the preset number is determined based on the first number and the reference range.

On the basis of the foregoing embodiment, optionally, the pre-estimation factor determining module 310 includes a sub-object determining unit, a factor weight determining unit, and a factor pre-estimating unit, where:

the sub-object determining unit is used for determining a first sub-object and a second sub-object corresponding to each object to be determined;

the factor weight determining unit is used for obtaining the electric carbon factor weight corresponding to each first sub-object and the sub-electric carbon factor corresponding to each second sub-object;

the factor estimating unit is used for determining an estimated electric carbon factor corresponding to the object to be determined based on the electric carbon factor weights and the sub-electric carbon factors.

On the basis of the foregoing embodiment, optionally, the factor estimating unit is specifically configured to:

calculating a weight mean value and a weight variance corresponding to the object to be determined based on the weight of each electric carbon factor, and constructing a first normal distribution corresponding to the object to be determined according to the weight mean value and the weight variance; calculating an electric carbon factor mean value and an electric carbon factor variance corresponding to the object to be determined based on each sub electric carbon factor, and constructing a second normal distribution corresponding to the object to be determined according to the electric carbon factor mean value and the electric carbon factor variance; and determining the estimated electric carbon factor corresponding to the object to be determined according to the first normal distribution and the second normal distribution.

On the basis of the foregoing embodiment, optionally, the factor estimating unit is further configured to:

determining an initial weight and an initial electrical carbon factor; determining a current random weight based on the first normal distribution, updating the initial weight according to the current random weight and the initial weight, determining a current random carbon factor based on the second normal distribution, and updating the initial electrical carbon factor according to the current random weight, the current random carbon factor and the initial electrical carbon factor; and judging whether the initial weight is smaller than a preset weight threshold, if so, returning to execute the operation of determining the current random weight based on the first normal distribution until the initial weight is larger than or equal to the preset weight threshold, and determining the initial electric carbon factor as the estimated electric carbon factor corresponding to the object to be determined.

On the basis of the above embodiment, optionally, the factor weight determining unit is specifically configured to:

acquiring output data corresponding to each first sub-object, and determining the weight of the electric carbon factor corresponding to each first sub-object based on the output data corresponding to each first sub-object; and acquiring the application energy data respectively corresponding to the second sub-objects, and determining the sub-electrical carbon factors respectively corresponding to the second sub-objects based on the application energy data respectively corresponding to the second sub-objects.

On the basis of the above embodiment, optionally, the target factor determining module 320 is specifically configured to:

determining a factor mean value based on each of the reference electrical carbon factors; determining a target object in each object to be determined according to the factor mean value and the estimated electric carbon factor corresponding to each object to be determined; and taking the factor mean value as a target electrical carbon factor corresponding to the target object.

On the basis of the above embodiment, optionally, the target factor determining module 320 is further configured to:

calculating the difference value of the electric carbon factors corresponding to the objects to be determined respectively based on the factor mean value and the estimated electric carbon factors corresponding to the objects to be determined respectively; and determining the object to be determined with the minimum electric carbon factor difference as a target object according to the electric carbon factor difference value corresponding to each object to be determined.

The carbon consumption determining device provided by the embodiment of the invention can execute the carbon consumption determining method provided by any embodiment of the invention, and has the corresponding functional modules and beneficial effects of the executing method.

Example IV

Fig. 4 is a schematic structural diagram of an electronic device according to a fourth embodiment of the present invention. The electronic device 10 is intended to represent various forms of digital computers, such as laptops, desktops, workstations, personal digital assistants, servers, blade servers, mainframes, and other appropriate computers. Electronic equipment may also represent various forms of mobile devices, such as personal digital processing, cellular telephones, smartphones, wearable devices (e.g., helmets, glasses, watches, etc.), and other similar computing devices. The components shown herein, their connections and relationships, and their functions, are meant to be exemplary only, and are not meant to limit implementations of the inventions described and/or claimed herein.

As shown in fig. 4, the electronic device 10 includes at least one processor 11, and a memory, such as a Read Only Memory (ROM) 12, a Random Access Memory (RAM) 13, etc., communicatively connected to the at least one processor 11, in which the memory stores a computer program executable by the at least one processor, and the processor 11 may perform various appropriate actions and processes according to the computer program stored in the Read Only Memory (ROM) 12 or the computer program loaded from the storage unit 18 into the Random Access Memory (RAM) 13. In the RAM 13, various programs and data required for the operation of the electronic device 10 may also be stored. The processor 11, the ROM 12 and the RAM 13 are connected to each other via a bus 14. An input/output (I/O) interface 15 is also connected to bus 14.

Various components in the electronic device 10 are connected to the I/O interface 15, including: an input unit 16 such as a keyboard, a mouse, etc.; an output unit 17 such as various types of displays, speakers, and the like; a storage unit 18 such as a magnetic disk, an optical disk, or the like; and a communication unit 19 such as a network card, modem, wireless communication transceiver, etc. The communication unit 19 allows the electronic device 10 to exchange information/data with other devices via a computer network, such as the internet, and/or various telecommunication networks.

The processor 11 may be a variety of general and/or special purpose processing components having processing and computing capabilities. Some examples of processor 11 include, but are not limited to, a Central Processing Unit (CPU), a Graphics Processing Unit (GPU), various specialized Artificial Intelligence (AI) computing chips, various processors running machine learning model algorithms, digital Signal Processors (DSPs), and any suitable processor, controller, microcontroller, etc. The processor 11 performs the various methods and processes described above, such as with the carbon quantity determination method.

In some embodiments, the carbon determination method may be implemented as a computer program tangibly embodied on a computer-readable storage medium, such as the storage unit 18. In some embodiments, part or all of the computer program may be loaded and/or installed onto the electronic device 10 via the ROM 12 and/or the communication unit 19. When the computer program is loaded into the RAM 13 and executed by the processor 11, one or more steps of the carbon amount determination method described above may be performed. Alternatively, in other embodiments, the processor 11 may be configured to perform the carbon usage determination method in any other suitable manner (e.g., by means of firmware).

Various implementations of the systems and techniques described here above may be implemented in digital electronic circuitry, integrated circuit systems, field Programmable Gate Arrays (FPGAs), application Specific Integrated Circuits (ASICs), application Specific Standard Products (ASSPs), systems On Chip (SOCs), load programmable logic devices (CPLDs), computer hardware, firmware, software, and/or combinations thereof. These various embodiments may include: implemented in one or more computer programs, the one or more computer programs may be executed and/or interpreted on a programmable system including at least one programmable processor, which may be a special purpose or general-purpose programmable processor, that may receive data and instructions from, and transmit data and instructions to, a storage system, at least one input device, and at least one output device.

The computer program for implementing the carbon determination method of the present invention may be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus, such that the computer programs, when executed by the processor, cause the functions/acts specified in the flowchart and/or block diagram block or blocks to be implemented. The computer program may execute entirely on the machine, partly on the machine, as a stand-alone software package, partly on the machine and partly on a remote machine or entirely on the remote machine or server.

Example five

The fifth embodiment of the present invention also provides a computer-readable storage medium storing computer instructions for causing a processor to execute a method for determining a carbon consumption, the method comprising:

In the context of the present invention, a computer-readable storage medium may be a tangible medium that can contain, or store a computer program for use by or in connection with an instruction execution system, apparatus, or device. The computer readable storage medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. Alternatively, the computer readable storage medium may be a machine readable signal medium. More specific examples of a machine-readable storage medium would include an electrical connection based on one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

To provide for interaction with a user, the systems and techniques described here can be implemented on an electronic device having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to a user; and a keyboard and a pointing device (e.g., a mouse or a trackball) through which a user can provide input to the electronic device. Other kinds of devices may also be used to provide for interaction with a user; for example, feedback provided to the user may be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form, including acoustic input, speech input, or tactile input.

The systems and techniques described here can be implemented in a computing system that includes a background component (e.g., as a data server), or that includes a middleware component (e.g., an application server), or that includes a front-end component (e.g., a user computer having a graphical user interface or a web browser through which a user can interact with an implementation of the systems and techniques described here), or any combination of such background, middleware, or front-end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: local Area Networks (LANs), wide Area Networks (WANs), blockchain networks, and the internet.

The computing system may include clients and servers. The client and server are typically remote from each other and typically interact through a communication network. The relationship of client and server arises by virtue of computer programs running on the respective computers and having a client-server relationship to each other. The server can be a cloud server, also called a cloud computing server or a cloud host, and is a host product in a cloud computing service system, so that the defects of high management difficulty and weak service expansibility in the traditional physical hosts and VPS service are overcome.

It should be appreciated that various forms of the flows shown above may be used to reorder, add, or delete steps. For example, the steps described in the present invention may be performed in parallel, sequentially, or in a different order, so long as the desired results of the technical solution of the present invention are achieved, and the present invention is not limited herein.

The above embodiments do not limit the scope of the present invention. It will be apparent to those skilled in the art that various modifications, combinations, sub-combinations and alternatives are possible, depending on design requirements and other factors. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention should be included in the scope of the present invention.

Claims

1. A method for determining an amount of carbon, comprising:

2. The method of claim 1, wherein the returning the target electrical carbon factor as the reference electrical carbon factor performs an operation of determining a target object in the objects to be determined based on each of the reference electrical carbon factors and each of the estimated electrical carbon factors, comprising:

determining, for each of the reference electrical carbon factors, a factor mean value corresponding to the reference electrical carbon factor based on the target electrical carbon factor and the reference electrical carbon factor;

and determining a new target object in the objects to be determined based on the factor mean value and the estimated electric carbon factors corresponding to the objects to be determined respectively, and determining the target electric carbon factor corresponding to the new target object.

3. The method according to claim 2, wherein determining a new target object in each of the objects to be determined based on the factor mean and the estimated electrical carbon factor corresponding to each of the objects to be determined, and determining the target electrical carbon factor corresponding to the new target object, comprises:

determining the difference value between the factor mean value and each estimated electric carbon factor, and determining an object to be determined corresponding to the estimated electric carbon factor with the smallest difference value as a new target object;

and determining the factor mean value as a target electrical carbon factor corresponding to the new target object.

4. The method of claim 1, wherein prior to determining a target object in each of the objects to be determined based on each of the reference electrical carbon factors and each of the predicted electrical carbon factors, and determining a target electrical carbon factor corresponding to the target object, the method further comprises:

determining a first number of the objects to be determined and a reference range between the reference electrical carbon factors;

the preset number is determined based on the first number and the reference range.

5. The method according to claim 1, wherein determining the estimated electrical carbon factor for each of the at least two objects to be determined comprises:

For each object to be determined, determining a first sub-object and a second sub-object corresponding to the object to be determined;

acquiring the weight of the electric carbon factor corresponding to each first sub-object and the sub-electric carbon factor corresponding to each second sub-object;

and determining the estimated electric carbon factor corresponding to the object to be determined based on each electric carbon factor weight and each sub-electric carbon factor.

6. The method of claim 5, wherein the determining an estimated electrical carbon factor corresponding to the object to be determined based on each of the electrical carbon factor weights and each of the sub-electrical carbon factors comprises:

calculating a weight mean value and a weight variance corresponding to the object to be determined based on the weight of each electric carbon factor, and constructing a first normal distribution corresponding to the object to be determined according to the weight mean value and the weight variance;

calculating an electric carbon factor mean value and an electric carbon factor variance corresponding to the object to be determined based on each sub electric carbon factor, and constructing a second normal distribution corresponding to the object to be determined according to the electric carbon factor mean value and the electric carbon factor variance;

and determining the estimated electric carbon factor corresponding to the object to be determined according to the first normal distribution and the second normal distribution.

7. The method of claim 6, wherein determining the predicted electrical carbon factor corresponding to the object to be determined based on the first normal distribution and the second normal distribution comprises:

determining an initial weight and an initial electrical carbon factor;

determining a current random weight based on the first normal distribution, updating the initial weight according to the current random weight and the initial weight, determining a current random carbon factor based on the second normal distribution, and updating the initial electrical carbon factor according to the current random weight, the current random carbon factor and the initial electrical carbon factor;

and judging whether the initial weight is smaller than a preset weight threshold, if so, returning to execute the operation of determining the current random weight based on the first normal distribution until the initial weight is larger than or equal to the preset weight threshold, and determining the initial electric carbon factor as the estimated electric carbon factor corresponding to the object to be determined.

8. A carbon amount determination device, comprising:

9. An electronic device, the electronic device comprising:

at least one processor; and

a memory communicatively coupled to the at least one processor; wherein,,

the memory stores a computer program executable by the at least one processor to enable the at least one processor to perform the carbon usage determination method of any one of claims 1-7.

10. A computer readable storage medium storing computer instructions for causing a processor to implement the carbon usage determination method of any one of claims 1-7 when executed.