CN114998075A - Transportation carbon emission calculation method and system and storable medium - Google Patents
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Abstract
The invention discloses a method, a system and a storable medium for calculating carbon emission in transportation, relating to the technical field of traffic environment protection, wherein the method comprises the following steps: acquiring past carbon dioxide emission data and greenhouse gas emission data, preprocessing the past carbon dioxide emission data and the greenhouse gas emission data, and forming a data set; dividing the data set into a test set and a verification set, constructing a traffic carbon emission measurement and calculation model, training the traffic carbon emission measurement and calculation model by using the test set, verifying the traffic carbon emission measurement and calculation model by using the verification set, and calculating corresponding loss; when the loss is minimum, determining the model at the moment as an optimal traffic carbon emission measurement and calculation model, and calculating the carbon emission of traffic transportation by using the optimal traffic carbon emission measurement and calculation model to obtain a calculation result; the method can accurately calculate the carbon emission of road traffic.
Description
Technical Field
The invention relates to the technical field of traffic environment protection, in particular to a method and a system for calculating carbon emission in traffic transportation and a storable medium.
Background
Currently, carbon emissions refer to the average greenhouse gas emissions generated during the production, transportation, use and recovery of the product. The dynamic carbon emission refers to the amount of greenhouse gas cumulatively emitted per unit of goods, and different dynamic carbon emissions exist among different batches of the same product. When the social economy is rapidly developed, the energy consumption is continuously increased, a large amount of greenhouse gases such as carbon dioxide and the like are emitted, the concentration of the carbon dioxide in the atmosphere is rapidly increased, the natural absorption capacity is far beyond the maximum, the global climate is warmed, and a gradually severe environmental problem is gradually developed.
However, the methods for calculating carbon emissions in transportation in the prior art mainly include the following two methods: the method comprises a scene prediction model, a regression prediction model and a gray prediction model, wherein the two model calculation methods adopt a single model for calculation, the calculation precision is low, and the carbon emission in an urban operation area cannot be truly reflected.
Therefore, how to provide a method for calculating carbon emission in transportation, which can solve the above problems, is a problem that needs to be solved urgently by those skilled in the art.
Disclosure of Invention
In view of this, the invention provides a method, a system and a storage medium for calculating carbon emission in transportation, which can accurately calculate carbon emission in urban road transportation.
In order to achieve the purpose, the invention adopts the following technical scheme:
a transportation carbon emission calculation method comprises the following steps:
acquiring past carbon dioxide emission data and greenhouse gas emission data, preprocessing the past carbon dioxide emission data and the greenhouse gas emission data, and forming a data set;
dividing the data set into a test set and a verification set, constructing a traffic carbon emission measurement and calculation model, training the traffic carbon emission measurement and calculation model by using the test set, verifying the traffic carbon emission measurement and calculation model by using the verification set, and calculating corresponding loss;
and when the loss is minimum, determining the model at the moment as an optimal traffic carbon emission measurement and calculation model, and calculating the carbon emission of the traffic transportation by using the optimal traffic carbon emission measurement and calculation model to obtain a calculation result.
Preferably, the method further comprises the following steps:
and determining constraint conditions, and establishing a linear equation between the constraint conditions and the calculation result to obtain an optimal regulation scheme.
Preferably, the traffic carbon emission measurement and calculation model is a composite network structure of a BP neural network and a radial basis function neural network.
Preferably, the BP neural network includes an input layer, an output layer, and a plurality of hidden layers connected in sequence.
Preferably, the specific process of the pretreatment comprises:
and carrying out normalization processing on the carbon dioxide past emission data and the greenhouse gas past emission data.
Further, the present invention also provides a computing system using any one of the above-mentioned transportation carbon emission computing methods, including:
the acquisition module is used for acquiring the past carbon dioxide emission data and the past greenhouse gas emission data, preprocessing the past carbon dioxide emission data and the past greenhouse gas emission data and forming a data set;
the model construction module is used for dividing the data set into a test set and a verification set, constructing a traffic carbon emission measurement and calculation model, training the traffic carbon emission measurement and calculation model by using the test set, verifying the traffic carbon emission measurement and calculation model by using the verification set and calculating corresponding loss;
and the calculation module is used for determining the model at the moment as an optimal traffic carbon emission measurement and calculation model when the loss is minimum, and calculating the traffic carbon emission by using the optimal traffic carbon emission measurement and calculation model to obtain a calculation result.
Further, the present invention also provides a computer-readable storage medium, on which a computer program is stored, which when executed by a processor, implements the method for calculating carbon emissions of transportation according to any one of the above.
According to the technical scheme, compared with the prior art, the invention discloses a method and a system for calculating carbon emission in transportation and a storage medium, through acquiring past carbon dioxide emission data and greenhouse gas emission data, preprocessing the past carbon dioxide emission data and the greenhouse gas emission data to form a data set, training a transportation carbon emission measuring and calculating model by using the data set, selecting a network with the minimum loss as an optimal transportation carbon emission measuring and calculating model, calculating the carbon emission in transportation by using the optimal transportation carbon emission measuring and calculating model, calculating by using a composite model, accurately calculating the carbon emission in urban road transportation, and providing a basis for regulation and control of subsequent carbon emission.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the provided drawings without creative efforts.
FIG. 1 is an overall flow chart of a method for calculating carbon emissions in transportation according to the present invention;
fig. 2 is a schematic block diagram of a transportation carbon emission calculation system according to the present invention.
Detailed Description
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.
Referring to the attached drawing 1, the embodiment of the invention discloses a method for calculating carbon emission in transportation, which comprises the following steps:
acquiring past carbon dioxide emission data and greenhouse gas emission data, preprocessing the past carbon dioxide emission data and the greenhouse gas emission data, and forming a data set;
dividing the data set into a test set and a verification set, constructing a traffic carbon emission measurement and calculation model, training the traffic carbon emission measurement and calculation model by using the test set, verifying the traffic carbon emission measurement and calculation model by using the verification set, and calculating corresponding loss;
and when the loss is minimum, determining the model at the moment as an optimal traffic carbon emission measurement and calculation model, and calculating the carbon emission of the traffic transportation by using the optimal traffic carbon emission measurement and calculation model to obtain a calculation result.
In a specific embodiment, the method further comprises the following steps:
and determining constraint conditions, and establishing a linear equation between the constraint conditions and the calculation result to obtain an optimal regulation scheme.
Specifically, the constraint condition may include: the method comprises the following steps of resident travel demand constraint conditions, urban road traffic land resource constraint conditions and urban road traffic energy consumption constraint conditions.
In a specific embodiment, the traffic carbon emission measurement model is a composite network structure of a BP neural network and a radial basis function neural network.
In a specific embodiment, the BP neural network comprises an input layer, an output layer and a plurality of hidden layers which are connected in sequence.
Specifically, the neurons of the input layer of the BP neural network represent traffic carbon emission influencing factors, and the influencing factors may be: the number of the vehicle, the energy consumption per mileage of the vehicle, the driving mileage, the carbon emission factor, the idling energy consumption, the idling mileage and other factors, so the number of the neurons can be 6, and the number of the output neurons can be 1; and in the calculation process, the factor values are obtained and input into a trained optimal traffic carbon emission measurement and calculation model for calculation, so that the final carbon emission is obtained.
In a specific embodiment, the specific process of the pre-treatment comprises:
and carrying out normalization processing on the carbon dioxide past emission data and the greenhouse gas past emission data.
Referring to fig. 2, an embodiment of the present invention further provides a computing system using any one of the transportation carbon emission computing methods described above, including:
the acquisition module is used for acquiring past carbon dioxide emission data and past greenhouse gas emission data, preprocessing the past carbon dioxide emission data and the past greenhouse gas emission data and forming a data set;
the model construction module is used for dividing the data set into a test set and a verification set, constructing a traffic carbon emission measurement and calculation model, training the traffic carbon emission measurement and calculation model by using the test set, verifying the traffic carbon emission measurement and calculation model by using the verification set and calculating corresponding loss;
and the calculation module is used for determining the model at the moment as the optimal traffic carbon emission measurement and calculation model when the loss is minimum, and calculating the carbon emission of the traffic transportation by using the optimal traffic carbon emission measurement and calculation model to obtain a calculation result.
An embodiment of the present invention further provides a computer-readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, the method for calculating carbon emission in transportation according to any one of the above embodiments is implemented.
In the present specification, the embodiments are described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same and similar parts among the embodiments are referred to each other. The device disclosed by the embodiment corresponds to the method disclosed by the embodiment, so that the description is simple, and the relevant points can be referred to the method part for description.
The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the invention. Thus, the present invention is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (7)
1. A transportation carbon emission calculation method is characterized by comprising the following steps:
acquiring past carbon dioxide emission data and greenhouse gas emission data, preprocessing the past carbon dioxide emission data and the greenhouse gas emission data, and forming a data set;
dividing the data set into a test set and a verification set, constructing a traffic carbon emission measuring and calculating model, training the traffic carbon emission measuring and calculating model by using the test set, verifying the traffic carbon emission measuring and calculating model by using the verification set, and calculating corresponding loss;
and when the loss is minimum, determining the model at the moment as an optimal traffic carbon emission measuring and calculating model, and calculating the carbon emission of the traffic by using the optimal traffic carbon emission measuring and calculating model to obtain a calculation result.
2. The method for calculating carbon emission in transportation according to claim 1, further comprising:
and determining constraint conditions, and establishing a linear equation between the constraint conditions and the calculation result to obtain an optimal regulation scheme.
3. The method for calculating carbon emission in transportation according to claim 1, wherein the traffic carbon emission measurement and calculation model is a composite network structure of a BP neural network and a radial basis function neural network.
4. The method of claim 3, wherein the BP neural network comprises an input layer, an output layer and a plurality of hidden layers which are connected in sequence.
5. The method for calculating the carbon emission in transportation according to claim 1, wherein the preprocessing comprises:
and carrying out normalization processing on the carbon dioxide past emission data and the greenhouse gas past emission data.
6. A computing system using the transportation carbon emission computing method according to any one of claims 1 to 5, comprising:
the acquisition module is used for acquiring past carbon dioxide emission data and past greenhouse gas emission data, preprocessing the past carbon dioxide emission data and the past greenhouse gas emission data and forming a data set;
the model construction module is used for dividing the data set into a test set and a verification set, constructing a traffic carbon emission measurement and calculation model, training the traffic carbon emission measurement and calculation model by using the test set, verifying the traffic carbon emission measurement and calculation model by using the verification set and calculating corresponding loss;
and the calculation module is used for determining the model at the moment as an optimal traffic carbon emission measurement and calculation model when the loss is minimum, and calculating the carbon emission of the traffic by using the optimal traffic carbon emission measurement and calculation model to obtain a calculation result.
7. A computer-readable storage medium, on which a computer program is stored which, when executed by a processor, carries out the method of calculating carbon emissions of transportation according to any one of claims 1 to 5.
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| CN115936955A (en) * | 2023-02-01 | 2023-04-07 | 河北省建筑科学研究院有限公司 | Carbon emission accounting method and real-time monitoring system for garden motor vehicles |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN115936955A (en) * | 2023-02-01 | 2023-04-07 | 河北省建筑科学研究院有限公司 | Carbon emission accounting method and real-time monitoring system for garden motor vehicles |
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