CN115146853A - Method, device and equipment for determining carbon consumption based on electrical carbon factor and storage medium - Google Patents
Method, device and equipment for determining carbon consumption based on electrical carbon factor and storage medium Download PDFInfo
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Abstract
The invention discloses a method, a device, equipment and a storage medium for determining carbon consumption based on an electrical carbon factor. The method comprises the steps of determining estimated electric carbon factors corresponding to each object to be determined respectively, obtaining reference electric carbon factors corresponding to at least two reference objects respectively, further determining a target electric carbon factor of each target object to be determined according to each reference electric carbon factor and each estimated electric carbon factor, realizing accurate determination of the electric carbon factors, further determining the estimated carbon emission of the target object according to the determined target electric carbon factor and the actual power consumption, realizing accurate determination of the carbon emission, avoiding artificial analysis, solving the problems of low accuracy, low efficiency and high cost of the artificial analysis of the carbon consumption in the prior art, determining the electric carbon factors of other objects through the reference electric carbon factors of each reference object, ensuring the accuracy of the electric carbon factors, and further realizing prediction of the carbon emission of the object with unknown electric carbon factors.
Description
Technical Field
The invention relates to the technical field of carbon emission, in particular to a method, a device, equipment and a storage medium for determining carbon consumption based on an electrical carbon factor.
Background
With the increase of economy and the progress of society, people pay more and more attention to the harmonious development of people and nature, and the requirement of coexistence of environmental protection and sustainable development reaches a new height. Today, the aspects of each enterprise's production involve energy consumption and consequent carbon emissions. Research shows that carbon-related gases such as carbon dioxide have significant influence on global climate, and the influence can cause various worldwide hidden dangers such as extreme weather occurrence in various regions, sea level rise and the like. When dealing with carbon-related climate problems, significant labor and material costs are incurred.
In order to achieve the most effective improvement of energy problems, it is desirable to reduce carbon emissions and maximize carbon emissions that are consumed for neutralization. Therefore, it is necessary to analyze the carbon consumption of each industry or each enterprise to make a carbon reduction plan for each industry or each enterprise. In the prior art, the carbon consumption of each industry or each enterprise is generally required to be analyzed manually, however, the manual analysis mode cannot obtain the accurate carbon consumption, the efficiency is low, and the cost of manpower and material resources is high.
In the process of implementing the invention, at least the following technical problems are found in the prior art: 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 carbon consumption based on an electrical carbon factor, which aim to solve the problems of low accuracy, low efficiency and high cost of the manual analysis of the carbon consumption in the prior art.
According to an aspect of the present invention, there is provided a method for determining an amount of carbon used based on an electrical carbon factor, including:
determining the estimated electrical carbon factor corresponding to each object to be determined;
acquiring reference electrical carbon factors corresponding to at least two reference objects respectively, and determining a target electrical carbon factor corresponding to a target object in the objects to be determined based on each reference electrical carbon factor and an estimated electrical carbon factor corresponding to each object to be determined respectively;
and determining the predicted carbon emission amount corresponding to the target object based on the target electric carbon factor corresponding to the target object and the actual electricity consumption of the target object.
Optionally, the determining the estimated electrical carbon factor corresponding to each object to be determined includes:
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 electric carbon factor weight corresponding to each first sub-object and the sub-electric carbon factor corresponding to each second sub-object;
and determining an estimated electric carbon factor corresponding to the object to be determined based on each electric carbon factor weight and each sub-electric carbon factor.
Optionally, the determining an estimated electrical carbon factor corresponding to the object to be determined based on each electrical carbon factor weight and each sub-electrical carbon factor includes:
calculating a weight mean value and a weight variance corresponding to the 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;
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 pre-estimated electrical carbon factor corresponding to the object to be determined according to the first normal distribution and the second normal distribution.
The determining the pre-estimated electrical carbon factor corresponding to the object to be determined according to 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 electrical carbon factor based on the second normal distribution, and updating the initial electrical carbon factor according to the current random weight, the current random electrical carbon factor and the initial electrical carbon factor;
and judging whether the initial weight is smaller than a preset weight threshold value, 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 value, and determining the initial electric carbon factor as an estimated electric carbon factor corresponding to the object to be determined.
The obtaining of the electrical carbon factor weight corresponding to each of the first sub-objects and the electrical carbon factor corresponding to each of the second sub-objects includes:
acquiring output data corresponding to each first sub-object, and determining electric carbon factor weight corresponding to each first sub-object based on the output data corresponding to each first sub-object;
and acquiring energy application data corresponding to the second sub-objects respectively, and determining the sub-electric carbon factors corresponding to the second sub-objects respectively based on the energy application data corresponding to the second sub-objects respectively.
Determining a target electrical carbon factor corresponding to a target object in each object to be determined based on each reference electrical carbon factor and an estimated electrical carbon factor corresponding to each object to be determined, respectively, including:
determining a reference mean factor based on each of the reference electrical carbon factors;
determining a target object in each object to be determined according to the reference mean value factor and the estimated electric carbon factor corresponding to each object to be determined;
and taking the reference mean value factor as a target electric carbon factor corresponding to the target object.
Determining a target object in each object to be determined according to the reference mean value factor and the estimated electric carbon factor corresponding to each object to be determined, including:
calculating the difference value of the electric carbon factor corresponding to each object to be determined respectively based on the reference mean value factor and the estimated electric carbon factor corresponding to each object to be determined respectively;
and determining the object to be determined with the minimum electrical carbon factor difference value as a target object according to the electrical carbon factor difference value corresponding to each object to be determined.
According to another aspect of the present invention, there is provided an apparatus for determining an amount of carbon used based on an electrical carbon factor, including:
the estimated factor determining module is used for determining estimated electrical carbon factors corresponding to the objects to be determined respectively;
the target factor determination module is used for acquiring reference electric carbon factors corresponding to at least two reference objects respectively, and determining a target electric carbon factor corresponding to a target object in the objects to be determined based on each reference electric carbon factor and an estimated electric carbon factor corresponding to each object to be determined respectively;
and the carbon consumption calculation module is used for determining the predicted carbon emission corresponding to the target object based on the target electric carbon factor corresponding to the target object and the actual electricity consumption of the 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 content of the first and second substances,
the memory stores a computer program executable by the at least one processor, the computer program being executed by the at least one processor to enable the at least one processor to perform the method for determining an amount of carbon used based on an electrical carbon factor according to any 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 implement the method for determining an amount of carbon used based on an electrical carbon factor according to any one of the embodiments of the present invention when the computer instructions are executed.
According to the technical scheme of the embodiment of the invention, the estimated electric carbon factors corresponding to the objects to be determined are determined, the reference electric carbon factors corresponding to at least two reference objects are obtained, the target electric carbon factor of the target object in the objects to be determined is determined according to the reference electric carbon factors and the estimated electric carbon factors, the accurate determination of the electric carbon factors is realized, the estimated carbon emission of the target object is further determined according to the determined target electric carbon factor and the actual power consumption, the accurate determination of the carbon emission is realized, no artificial analysis is needed, the problems of low accuracy, low efficiency and high cost of the carbon consumption for artificial analysis in the prior art are solved, the electric carbon factors of other objects are determined according to the reference electric carbon factors of the reference objects, the accuracy of the electric carbon factors is ensured, and the carbon emission prediction of the object with unknown electric carbon factors can be realized.
It should be understood that the statements in this section do not necessarily identify key or critical features of the embodiments of the present invention, nor do they necessarily limit the scope of the invention. Other features of the present invention will become apparent from the following description.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
Fig. 1 is a schematic flow chart of a method for determining a carbon consumption based on an electrical carbon factor according to an embodiment of the present invention;
FIG. 2 is a schematic flow chart of a method for determining carbon consumption based on electrical carbon factor according to a second embodiment of the present invention;
fig. 3 is a schematic structural diagram of a carbon consumption determination apparatus based on an electrical carbon factor 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 to make those skilled in the art better understand the technical solutions of the present invention, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
It should be noted that the terms "first," "second," and the like in the description and claims of the present invention and in the drawings described above are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the invention described herein are capable of operation in other sequences than those illustrated or 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 one
Fig. 1 is a schematic flowchart of a method for determining a carbon consumption based on an electrical carbon factor according to an embodiment of the present invention, where this embodiment is applicable to determining an electrical carbon factor of an enterprise with another unknown electrical carbon factor according to an enterprise with a known electrical carbon factor, and then predicting a carbon emission of the enterprise according to the electrical carbon factor, or determining an electrical carbon factor of an industry with another unknown electrical carbon factor according to an industry with a known electrical carbon factor, and then predicting a carbon emission of the industry according to the electrical carbon factor, where the method may be performed by an electrical carbon factor-based carbon consumption determining apparatus, which may be implemented in a form of hardware and/or software, and the electrical carbon factor-based carbon consumption determining apparatus 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:
and S110, determining the estimated electrical carbon factor corresponding to each object to be determined.
In the embodiment, the electrical carbon factor may be a ratio of carbon emission of electricity to carbon emission of all energy, wherein the carbon emission of all energy may include carbon emission of water, electricity, natural gas, coal gas and other energy sources. Illustratively, the electrical carbon factor may be expressed by the following formula:
ρ = carbon emission amount by electricity/carbon emission amount by energy;
the object to be determined can be an industry of the electric carbon factor of the unknown industry, or can also be an enterprise of the electric carbon factor of the unknown enterprise. If the object to be determined is the industry of the electric carbon factor of the unknown industry, such as the fuel production industry, the automobile production industry, the chemical production industry and the like, the target electric carbon factor of one industry can be determined in the industry of the electric carbon factor of the unknown industry by determining the estimated electric carbon factor of the industry of the electric carbon factor of each unknown industry. If the object to be determined is an enterprise with unknown enterprise electrical carbon factors, the target electrical carbon factor of a certain industry can be determined in the enterprise with unknown enterprise electrical carbon factors by determining the estimated electrical carbon factors of the enterprise with unknown enterprise electrical carbon factors.
Specifically, the estimated electrical carbon factor may be determined according to the electrical 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 corresponding sub-electrical carbon factor of each enterprise, or the estimated electrical carbon factor of the enterprise may be determined according to the corresponding sub-electrical carbon factor of each unit.
For example, if the object to be determined is an industry, the sub-electrical carbon factor corresponding to the enterprise can be calculated according to the enterprise with known energy consumption data in the industry, and then the estimated electrical carbon factor of the industry can be determined according to the sub-electrical 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 the enterprises, or the estimated electrical carbon factor of the industry may be determined according to the sub-electrical carbon factors of the enterprises and corresponding weights of the enterprises.
It should be noted that the estimated electrical carbon factor corresponding to the object to be determined is not the accurate electrical carbon factor of the object to be determined, and the estimated electrical carbon factor is calculated based on part of sub-objects in the object to be determined, so the estimated electrical carbon factor can be used as an estimated value of the electrical carbon factor for the object to be determined, and further, subsequent processing is required to obtain the accurate electrical carbon factor.
S120, reference electric carbon factors corresponding to at least two reference objects are obtained, and target electric carbon factors corresponding to target objects in the objects to be determined are determined based on the reference electric carbon factors and estimated electric carbon factors corresponding to the objects to be determined.
Wherein, the reference object can be an industry with known industrial electric carbon factors or an enterprise with known enterprise electric carbon factors. It should be noted that the object to be determined and the reference object belong to objects at the same level, 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.
Specifically, after obtaining the reference electrical carbon factors corresponding to the at least two reference objects, the target electrical carbon factor corresponding to the target object may 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 electrical carbon factors between any two reference objects is calculated based on the reference electrical carbon factors corresponding to the reference objects, and further, according to a difference between each average value and an estimated electrical carbon factor of the target object, the average value with the minimum difference is used as the target electrical carbon factor of the target object.
In a specific embodiment, determining a target electrical carbon factor corresponding to a target object in each object to be determined based on each reference electrical carbon factor and an estimated electrical carbon factor corresponding to each object to be determined respectively includes: determining a reference mean factor based on each reference electrical carbon factor; determining a target object in each object to be determined according to the reference mean value factor and the estimated electric carbon factor corresponding to each object to be determined; and taking the reference mean value factor as a target electric carbon factor corresponding to the target object.
The reference mean factor may be a mean value between all reference electrical carbon factors, or may be a mean value between any two reference electrical carbon factors. Specifically, after the reference mean factor is calculated, the object to be determined, for which the estimated electrical carbon factor is closest to the reference mean factor, may be determined as the target object, and the reference mean factor may be determined as the target electrical carbon factor of the target object; or, a target object can be randomly selected from the objects to be determined, a reference mean value factor closest to the estimated electric carbon factor is determined in each reference mean value factor according to the estimated electric carbon factor of the target object, and the reference mean value factor is determined as the target electric carbon factor corresponding to the target object.
Calculating a reference mean factor, and determining the target object according to the reference mean factor and each estimated electric carbon factor has the advantages that: the difference between each object to be determined and the reference object, such as enterprise difference or industry difference, can be determined by referring to the mean value factor 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 the electric carbon factors of other industries strongly related to the industry are predicted based on the electric carbon factors of the industry, or the electric carbon factors of other enterprises strongly related to the industry are predicted based on the electric carbon factors of the enterprise, and the accuracy of the predicted electric carbon factors is ensured.
Optionally, determining a target object in each object to be determined according to the reference mean factor and the estimated electrical carbon factor corresponding to each object to be determined, including: calculating the difference value of the electric carbon factor corresponding to each object to be determined respectively based on the reference mean value factor and the estimated electric carbon factor corresponding to each object to be determined respectively; and determining the object to be determined with the minimum electrical carbon factor difference value as a target object according to the electrical 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 reference mean factor and the estimated electrical carbon factor corresponding to the object to be determined. Specifically, after the electrical carbon factor difference value of each object to be determined is calculated, the object to be determined with the smallest electrical carbon factor difference value is determined as the target object, and then the reference mean value factor is used as the target electrical carbon factor of the target object.
The target object is determined according to the electric carbon factor difference values, accurate determination of the target object is achieved, electric carbon factors of other industries or enterprises which are 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 industries or enterprises is guaranteed, prediction of the electric carbon factors of another industry which has a large difference with the industry according to the electric carbon factors of one industry is avoided, and the electric carbon factors of the food processing industry can be predicted according to the electric carbon factors of the equipment manufacturing industry.
It should be noted that, according to the method for determining an amount of carbon used based on an electrical carbon factor provided by this embodiment, a target electrical carbon factor of an object to be determined can be determined every time the method is executed.
And S130, determining the predicted carbon emission amount corresponding to the target object based on the target electric carbon factor corresponding to the target object and the actual electricity consumption amount of the target object.
Specifically, after the target electrical carbon factor of the target object is obtained, the actual power consumption of the target object can be obtained, and then the predicted carbon emission of the target object is determined according to the actual power consumption and the target electrical carbon factor.
For example, the actual power consumption of the target object in a set time period, for example, the actual power consumption of the target object in the last 3 months, may be obtained, and the actual power consumption may be divided by the target electrical carbon factor to obtain the predicted carbon emission of the target object.
According to the technical scheme of the embodiment, 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 factor of each target object to be determined is determined according to the reference electric carbon factors and the estimated electric carbon factors, accurate determination of the electric carbon factors is achieved, the estimated carbon emission of the target object is further determined according to the determined target electric carbon factors and the actual power consumption, accurate determination of the carbon emission is achieved, artificial analysis is not needed, the problems that in the prior art, the accuracy of the carbon consumption for artificial analysis is low, the efficiency is low, and the cost is high are solved, the electric carbon factors of other objects are determined through the reference electric carbon factors of the reference objects, the accuracy of the electric carbon factors is ensured, and carbon emission prediction of the object with unknown electric carbon factors can be achieved.
Example two
Fig. 2 is a schematic flow chart of a method for determining a carbon consumption based on an electrical carbon factor according to a second embodiment of the present invention, and this embodiment exemplarily illustrates a process of determining estimated electrical carbon factors respectively corresponding to objects to be determined based on the above embodiments. As shown in fig. 2, the method includes:
s210, aiming at each object to be determined, determining a first sub-object and a second sub-object corresponding to the object to be determined, and acquiring the electric carbon factor weight corresponding to each first sub-object and the electric carbon factor corresponding to each second sub-object.
Wherein the first sub-object may be a sub-object of known yield data. Illustratively, if the object to be determined is an industry, the first sub-object is an enterprise in the industry, where the output data can be acquired; if the object to be determined is an enterprise, the first sub-object is a unit which can acquire output data in the enterprise. The production data may be a total production value of the first sub-object over a set period of time, such as a total production value over 12 months.
The second sub-object may be a sub-object of known energy data. Illustratively, if the object to be determined is an industry, the second sub-object is an enterprise which can acquire the energy consumption data in the industry; and if the object to be determined is an enterprise, the second sub-object is a unit which can acquire the energy data in the enterprise. The energy consumption data may be usage data of the second sub-object for various energy sources in a set time period, such as electricity consumption, water consumption, and gas consumption in 12 months.
In this embodiment, after determining each first sub-object and each second sub-object in the object to be determined, the electrical carbon factor weight of each first sub-object and the electrical carbon factor of each second sub-object may be obtained. Wherein, the electric carbon factor weight of each first sub-object and the electric carbon factor of each second sub-object can be preset; alternatively, the calculation may be performed separately from the production data and the energy data.
In a specific embodiment, obtaining the electric carbon factor weight corresponding to each first sub-object and the electric carbon factor corresponding to each second sub-object comprises: acquiring output data corresponding to each first sub-object, and determining the electric carbon factor weight corresponding to each first sub-object based on the output data corresponding to each first sub-object; and acquiring energy application data corresponding to the second sub-objects respectively, and determining the corresponding sub-electric carbon factors of the second sub-objects respectively based on the energy application data corresponding to the second sub-objects respectively.
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 equation:
wherein alpha is i Is the electrical carbon factor weight of the ith first sub-object.
Specifically, for each second sub-object, the carbon emission of the usage amount corresponding to each energy usage type in the energy usage data can be calculated according to the usage amount of each energy usage type in the energy usage data of the second sub-object and the carbon emission conversion rate (which can be checked according to the published conversion standard) corresponding to each energy usage type, and then the carbon emission of the electricity usage is divided by the carbon emission of all the energy usage types to obtain the sub-electrical carbon factor of the second sub-object.
It should be noted that the first sub-object capable of calculating the electric carbon factor weight and the second sub-object capable of calculating the electric carbon factor may be the same sub-object or different sub-objects, and the first sub-object and the second sub-object are selected according to whether each sub-object in the object to be determined has the production data and the energy data.
In the embodiment, the weight of the electric carbon factor corresponding to the first sub-object is calculated through the output data of the first sub-object, and the sub-electric carbon factor corresponding to the second sub-object is calculated through the energy consumption data of the second sub-object, so that the accurate determination of the weight of the electric carbon factor and the sub-electric carbon factor is realized, the accurate determination of the estimated electric carbon factor is further realized, and the estimated electric carbon factor is made to be as close to the actual condition of the industry as possible.
S220, determining an estimated electric carbon factor corresponding to the object to be determined based on the electric carbon factor weight and the sub electric carbon factors.
Specifically, after the weight of each electrical carbon factor and each sub-electrical carbon factor of the object to be determined are obtained, the estimated electrical carbon factor of the object to be determined can be further calculated. It should be noted that, since each electrical carbon factor weight and each sub-electrical carbon factor are calculated according to the relevant data of each sub-object in the object to be determined, the accuracy of the estimated electrical carbon factor determined based on each electrical carbon factor weight and each sub-electrical carbon factor is high, and the estimated electrical carbon factor can represent the electrical carbon factor of the object to be determined to a certain extent.
For example, each sub-electrical carbon factor may be multiplied by each electrical carbon factor weight, and the multiplied results may be summed to obtain the estimated electrical carbon factor.
In a specific embodiment, the method for determining the estimated electrical carbon factor corresponding to the object to be determined based on the weight of each electrical carbon factor and each sub-electrical carbon factor comprises the following steps:
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 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 3, determining the pre-estimated electrical carbon factor corresponding to the object to be determined according to the first normal distribution and the second normal distribution.
In step 1, the weight mean 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. Illustratively, the calculation formula of the weight mean and the weight variance is as follows:
wherein the content of the first and second substances,
is the weight mean value, alpha, corresponding to the w-th object to be determined wi The electric carbon factor weight corresponding to the ith first sub-object in the w-th object to be determined, k is the number of the first sub-objects in the w-th object to be determined,
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 value of all the sub-electric carbon factors, and the electric carbon factor variance may be a variance of all the sub-electric carbon factors. Exemplary calculation formulas for the mean and variance of the electrical carbon factors are as follows:
wherein the content of the first and second substances,
is the mean value of the electrical carbon factor, rho, corresponding to the w-th object to be determined wi A sub-electric carbon factor corresponding to an 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 and the variance of the electrical carbon factor may be
In step 3, for example, 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 and the random factors are multiplied, and the multiplication results are added to obtain the estimated electrical carbon factor.
Still 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 an initial weight and an initial electrical carbon factor;
step 32, 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 electrical carbon factor based on the second normal distribution, and updating the initial electrical carbon factor according to the current random weight, the current random electrical carbon factor and the initial electrical carbon factor;
and step 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 an estimated electric carbon factor corresponding to the object to be determined.
In step 31 above, the initial weight and the initial electrical carbon factor may be 0.
In step 32, a value may be randomly sampled from the first normal distribution to obtain a current random weight, the current random weight may be added to the initial weight, and the initial weight may be updated based on the result of the addition. And randomly sampling a value from the second normal distribution to obtain a current random electrical carbon factor, multiplying the current random weight by the current random electrical carbon factor, and updating the initial electrical carbon factor based on a sum of a result of the multiplication and the initial electrical carbon factor. I.e. adopt
Updating
Wherein the content of the first and second substances,
in order to be the initial electrical carbon factor,
is the current random weight or weights and is,
is the current random electrical 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 smaller than the preset weight threshold, the step 32 of executing the loop 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 met, 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 judgment condition in the step 33 is whether the initial weight is smaller than the preset weight threshold, and this is set to: the sum of the weights in the estimated electric carbon factor is enabled not to exceed a preset weight threshold value as much as possible, and the accuracy of the estimated electric carbon factor is ensured.
In the above steps 31-33, the estimated electro-carbon factor is determined by means of random sampling and cyclic calculation, so that the accurate determination of the estimated electro-carbon factor is realized, and the accuracy of the estimated electro-carbon factor is ensured while the randomness of the estimated electro-carbon factor is ensured.
And S230, obtaining reference electric carbon factors corresponding to at least two reference objects respectively, and determining a target electric carbon factor corresponding to a target object in the objects to be determined based on each reference electric carbon factor and an estimated electric carbon factor corresponding to each object to be determined respectively.
And S240, determining the predicted carbon emission amount corresponding to the target object based on the target electric carbon factor corresponding to the target object and the actual electricity consumption amount of the target object.
According to the technical scheme of the embodiment, for each 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 in the object to be determined are obtained, the estimated electric carbon factor corresponding to the object to be determined is determined according to the electric carbon factor weight and the sub-electric carbon factor, and the estimated electric carbon factor is determined according to the electric carbon factor weight and the sub-electric carbon factor of the sub-objects, so that the determined estimated electric carbon factor is close to the actual situation of the object to be determined as much as possible, and accurate determination of the estimated electric carbon factor of the object to be determined is achieved.
It should be noted that, taking an example that the object to be determined and the target object are industries, the method for determining the carbon consumption based on the electrical carbon factor provided in this embodiment has no requirement on the number and the list of enterprises with known production total values in the industries, and has no requirement on the number and the list of enterprises with known energy consumption data in the industries, so that the applicability is wide. Moreover, if an enterprise is a composite enterprise, namely belongs to multiple 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 predicting the electric carbon factors of the multiple industries.
EXAMPLE III
Fig. 3 is a schematic structural diagram of a carbon consumption determination apparatus based on an electrical carbon factor according to a third embodiment of the present invention. As shown in fig. 3, the apparatus includes an estimation factor determination module 310, a target factor determination module 320, and a carbon consumption calculation module 330.
An estimated factor determining module 310, configured to determine estimated electrical carbon factors corresponding to the objects to be determined, respectively;
a target factor determining module 320, configured to obtain reference electrical carbon factors corresponding to at least two reference objects, and determine a target electrical carbon factor corresponding to a target object in each object to be determined based on each reference electrical carbon factor and an estimated electrical carbon factor corresponding to each object to be determined;
and the carbon consumption calculating module 330 is configured to determine an expected carbon emission amount corresponding to the target object based on the target electrical carbon factor corresponding to the target object and the actual power consumption of the target object.
According to the technical scheme of the embodiment, 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 factor of each target object to be determined is determined according to the reference electric carbon factors and the estimated electric carbon factors, accurate determination of the electric carbon factors is achieved, the estimated carbon emission of the target object is further determined according to the determined target electric carbon factors and the actual power consumption, accurate determination of the carbon emission is achieved, artificial analysis is not needed, the problems that in the prior art, the accuracy of the carbon consumption for artificial analysis is low, the efficiency is low, and the cost is high are solved, the electric carbon factors of other objects are determined through the reference electric carbon factors of the reference objects, the accuracy of the electric carbon factors is ensured, and carbon emission prediction of the object with unknown electric carbon factors can be achieved.
On the basis of the foregoing embodiment, optionally, the predictor determining module 310 includes a sub-object determining unit, a factor weight determining unit, and a factor predictor unit, where:
the sub-object determining unit is used for determining a first sub-object and a second sub-object corresponding to the objects to be determined for each object to be determined;
the factor weight determining unit is configured to obtain an electrical carbon factor weight corresponding to each first sub-object and an electrical carbon factor corresponding to each second sub-object;
and the factor estimation unit is used for determining an estimated electric carbon factor corresponding to the object to be determined based on each electric carbon factor weight and each sub-electric carbon factor.
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 pre-estimated electrical 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 electrical carbon factor based on the second normal distribution, and updating the initial electrical carbon factor according to the current random weight, the current random electrical carbon factor and the initial electrical carbon factor; and judging whether the initial weight is smaller than a preset weight threshold value, 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 value, and determining the initial electric carbon factor as an estimated electric carbon factor corresponding to the object to be determined.
On the basis of the foregoing embodiment, optionally, the factor weight determining unit is specifically configured to:
obtaining output data corresponding to each first sub-object, and determining electric carbon factor weight corresponding to each first sub-object based on the output data corresponding to each first sub-object; and acquiring energy application data corresponding to the second sub-objects respectively, and determining the sub-electric carbon factors corresponding to the second sub-objects respectively based on the energy application data corresponding to the second sub-objects respectively.
On the basis of the foregoing embodiment, optionally, the target factor determining module 320 is specifically configured to:
determining a reference mean factor based on each of the reference electrical carbon factors; determining a target object in each object to be determined according to the reference mean value factor and the estimated electric carbon factor corresponding to each object to be determined; and taking the reference mean value factor as a target electric carbon factor corresponding to the target object.
On the basis of the foregoing embodiment, optionally, the target factor determining module 320 is further configured to:
calculating the difference value of the electric carbon factor corresponding to each object to be determined based on the reference mean value factor and the estimated electric carbon factor corresponding to each object to be determined; and determining the object to be determined with the minimum electrical carbon factor difference value as a target object according to the electrical carbon factor difference value corresponding to each object to be determined.
The carbon consumption determining device based on the electrical carbon factor provided by the embodiment of the invention can execute the carbon consumption determining method based on the electrical carbon factor provided by any embodiment of the invention, and has corresponding functional modules and beneficial effects of the executing method.
Example four
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. The electronic device may also represent various forms of mobile devices, such as personal digital assistants, cellular phones, smart phones, 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 communicatively connected to the at least one processor 11, such as a Read Only Memory (ROM) 12, a Random Access Memory (RAM) 13, and the like, wherein the memory stores a computer program executable by the at least one processor, and the processor 11 can perform various suitable actions and processes according to the computer program stored in the Read Only Memory (ROM) 12 or the computer program loaded from a storage unit 18 into the Random Access Memory (RAM) 13. In the RAM 13, various programs and data necessary for the operation of the electronic apparatus 10 can 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.
A number of 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, or the like; 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, a Digital Signal Processor (DSP), and any suitable processor, controller, microcontroller, or the like. The processor 11 performs the various methods and processes described above, such as the carbon usage determination method based on the electrical carbon factor.
In some embodiments, the method for determining an amount of carbon used based on an electrical carbon factor may be implemented as a computer program tangibly embodied in a computer-readable storage medium, such as 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 RAM 13 and executed by processor 11, one or more steps of the above-described method for determining an amount of carbon used based on an electrical carbon factor may be performed. Alternatively, in other embodiments, the processor 11 may be configured to perform the electrical carbon factor-based carbon usage determination method by any other suitable means (e.g., by way of firmware).
Various implementations of the systems and techniques described here above may be implemented in digital electronic circuitry, integrated circuitry, field Programmable Gate Arrays (FPGAs), application Specific Integrated Circuits (ASICs), application Specific Standard Products (ASSPs), system on a 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 that are executable and/or interpretable on a programmable system including at least one programmable processor, which may be special or general purpose, receiving data and instructions from, and transmitting data and instructions to, a storage system, at least one input device, and at least one output device.
The computer program for implementing the electrical carbon factor-based carbon quantity 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 performed. A computer program can execute entirely on a 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
An embodiment of the present invention further provides a computer-readable storage medium, in which computer instructions are stored, and the computer instructions are used to enable a processor to execute a method for determining an amount of carbon used based on an electrical carbon factor, where the method includes:
determining the estimated electrical carbon factor corresponding to each object to be determined;
acquiring reference electrical carbon factors corresponding to at least two reference objects respectively, and determining a target electrical carbon factor corresponding to a target object in the objects to be determined based on each reference electrical carbon factor and an estimated electrical carbon factor corresponding to each object to be determined respectively;
and determining the predicted carbon emission amount corresponding to the target object based on the target electric carbon factor corresponding to the target object and the actual electricity consumption of the target object.
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. A 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 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) by 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 can 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, speech, or tactile input.
The systems and techniques described here can be implemented in a computing system that includes a back-end 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 back-end, 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. A client and server are generally 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 host and VPS service are overcome.
It should be understood that various forms of the flows shown above may be used, with steps reordered, added, or deleted. For example, the steps described in the present invention may be executed in parallel, sequentially, or in different orders, and are not limited herein as long as the desired results of the technical solution of the present invention can be achieved.
The above-described embodiments should not be construed as limiting the scope of the invention. It should be understood by those skilled in the art that various modifications, combinations, sub-combinations and substitutions may be made in accordance with design requirements and other factors. Any modification, equivalent replacement, and improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (10)
1. A method for determining the amount of carbon used based on an electrical carbon factor, comprising:
determining the estimated electrical carbon factor corresponding to each object to be determined;
acquiring reference electrical carbon factors corresponding to at least two reference objects respectively, and determining a target electrical carbon factor corresponding to a target object in the objects to be determined based on each reference electrical carbon factor and an estimated electrical carbon factor corresponding to each object to be determined respectively;
and determining the predicted carbon emission amount corresponding to the target object based on the target electric carbon factor corresponding to the target object and the actual electricity consumption of the target object.
2. The method of claim 1, wherein the determining the estimated electrical carbon factor corresponding to each object 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 electric carbon factor weight corresponding to each first sub-object and the sub-electric carbon factor corresponding to each second sub-object;
and determining an estimated electric carbon factor corresponding to the object to be determined based on each electric carbon factor weight and each sub-electric carbon factor.
3. The method of claim 2, wherein 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 pre-estimated electrical carbon factor corresponding to the object to be determined according to the first normal distribution and the second normal distribution.
4. The method according to claim 3, wherein the determining the estimated electrical carbon factor corresponding to the object to be determined according to 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 electrical carbon factor based on the second normal distribution, and updating the initial electrical carbon factor according to the current random weight, the current random electrical 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 electrical carbon factor as an estimated electrical carbon factor corresponding to the object to be determined.
5. The method according to claim 2, wherein the obtaining of the electric carbon factor weight corresponding to each of the first sub-objects and the sub-electric carbon factor corresponding to each of the second sub-objects comprises:
obtaining output data corresponding to each first sub-object, and determining electric carbon factor weight corresponding to each first sub-object based on the output data corresponding to each first sub-object;
and acquiring energy application data corresponding to the second sub-objects respectively, and determining the sub-electric carbon factors corresponding to the second sub-objects respectively based on the energy application data corresponding to the second sub-objects respectively.
6. The method of claim 1, wherein determining a target electrical carbon factor corresponding to a target object of the objects to be determined based on each of the reference electrical carbon factors and an estimated electrical carbon factor corresponding to each of the objects to be determined comprises:
determining a reference mean factor based on each of the reference electrical carbon factors;
determining a target object in each object to be determined according to the reference mean value factor and the estimated electric carbon factor corresponding to each object to be determined;
and taking the reference mean value factor as a target electric carbon factor corresponding to the target object.
7. The method according to claim 6, wherein the determining a target object in each of the objects to be determined according to the reference mean factor and the estimated electrical carbon factor corresponding to each of the objects to be determined comprises:
calculating the difference value of the electric carbon factor corresponding to each object to be determined based on the reference mean value factor and the estimated electric carbon factor corresponding to each object to be determined;
and determining the object to be determined with the minimum electrical carbon factor difference value as a target object according to the electrical carbon factor difference value corresponding to each object to be determined.
8. An apparatus for determining an amount of carbon used based on an electrical carbon factor, comprising:
the estimated factor determining module is used for determining estimated electrical carbon factors corresponding to the objects to be determined respectively;
the target factor determination module is used for acquiring reference electric carbon factors corresponding to at least two reference objects respectively, and determining a target electric carbon factor corresponding to a target object in the objects to be determined based on each reference electric carbon factor and an estimated electric carbon factor corresponding to each object to be determined respectively;
and the carbon consumption calculation module is used for determining the predicted carbon emission corresponding to the target object based on the target electric carbon factor corresponding to the target object and the actual electricity consumption of the target object.
9. An electronic device, characterized in that the electronic device comprises:
at least one processor; and
a memory communicatively coupled to the at least one processor; wherein the content of the first and second substances,
the memory stores a computer program executable by the at least one processor, the computer program being executable by the at least one processor to enable the at least one processor to perform the method for determining an amount of carbon used based on an electrical carbon factor of any one of claims 1-7.
10. A computer-readable storage medium storing computer instructions for causing a processor to implement the method for determining an amount of carbon used based on an electric carbon factor according to any one of claims 1 to 7 when executed.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115693650A (en) * | 2022-10-17 | 2023-02-03 | 上海远景科创智能科技有限公司 | Method, device, equipment and medium for determining regional power carbon emission factor |
| CN116579902A (en) * | 2023-04-07 | 2023-08-11 | 南京电力设计研究院有限公司 | Digital park electric carbon data mapping method, system, equipment and storage medium |
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115693650A (en) * | 2022-10-17 | 2023-02-03 | 上海远景科创智能科技有限公司 | Method, device, equipment and medium for determining regional power carbon emission factor |
| CN115693650B (en) * | 2022-10-17 | 2023-07-28 | 国家电网有限公司大数据中心 | Determination method, device, equipment and medium for regional power carbon emission factor |
| CN116579902A (en) * | 2023-04-07 | 2023-08-11 | 南京电力设计研究院有限公司 | Digital park electric carbon data mapping method, system, equipment and storage medium |
| CN116579902B (en) * | 2023-04-07 | 2023-12-12 | 南京电力设计研究院有限公司 | Digital park electric carbon data mapping method, system, equipment and storage medium |
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