A green carbon data reporting method and platform

Abstract

The present invention discloses a green carbon data reporting method and platform, which relate to the technical field of green carbon data processing. The platform comprises a green carbon data collection module, a green carbon data processing and storage module, a green carbon data analysis module and an upload planning module; the green carbon data collection module is used to obtain green carbon data, and the green carbon data includes the energy consumption and carbon emissions of the same batch of raw materials in the production process, and the energy consumption and carbon emissions of the same batch of raw materials in the transportation process; the technical key points are: the platform can identify possible anomalies in the production or transportation process. If the carbon energy stability coefficient exceeds a preset threshold, the system will trigger corresponding adjustment strategies, such as adjusting production equipment parameters or optimizing transportation routes to reduce energy consumption and carbon emissions. It can also automatically decide whether to upload detailed data or summary data, which not only reduces unnecessary data transmission and storage, but also optimizes the use of network and storage resources.

Description

Technical Field

[0001] The present invention relates to the technical field of green carbon data processing, and in particular to a green carbon data reporting method and platform. Background Art

[0002] Green carbon data processing mainly involves the collection and processing of data related to green carbon emission reduction. The "green carbon" here usually refers to the process of absorbing or fixing carbon dioxide in the atmosphere through the protection and restoration of natural ecosystems such as forests and wetlands. The purpose of green carbon data processing is to better evaluate, monitor and report carbon absorption to support environmental protection and climate change mitigation strategies; but in the process of enterprise development, green carbon data specifically involves energy consumption and carbon emissions in the production or transportation process.

[0003] The existing application publication number is CN116993370A, and the document named A Green Carbon Certification Method points out that the scheme in the document includes determining the scope of evaluation, data collection, data analysis, carbon emission reduction measures, carbon emission reduction effect evaluation, and green carbon certification; the present invention can comprehensively evaluate carbon emissions based on life cycle analysis, avoiding the limitation of focusing on only a single link, and is comprehensive; professional data collection and analysis methods are adopted to ensure the scientificity and accuracy of the evaluation results, avoid subjectivity and one-sidedness, and is scientific; unified evaluation indicators and calculation methods are used to compare the carbon emissions between different products or services, which is conducive to consumers making environmentally friendly choices when purchasing, and is comparable; customized evaluation is carried out according to the characteristics and needs of different products or services, and the evaluation scope, functional units and data collection methods are flexibly adjusted to adapt to the needs of different industries and fields, and is flexible.

[0004] However, in combination with the above documents and existing technologies, the usual way for enterprises to report green carbon data is to summarize all the data, for example, the electricity consumed by each mechanical equipment at each moment in the production process, as detailed data and upload them to the central control platform for unified monitoring by staff. However, due to the huge amount of data, data control and transmission are also carried out for data without abnormalities, which increases the burden of the entire platform and makes it impossible to make rational use of resources. The data is only reported without making actual or targeted adjustments, which leads to the need for improvement in the functional management of the existing design platform. Summary of the invention

[0005] 1. Technical issues to be solved

[0006] In view of the shortcomings of the prior art, the present invention provides a green carbon data reporting method and platform, which can identify possible anomalies in the production or transportation process. If the carbon energy stability coefficient exceeds the preset threshold, the system will trigger the corresponding adjustment strategy, such as adjusting the production equipment parameters or optimizing the transportation route to reduce energy consumption and carbon emissions. It can also automatically decide whether to upload detailed data or summary data, which not only reduces unnecessary data transmission and storage, but also optimizes the use of network and storage resources, solving the problems raised in the background technology.

[0007] (II) Technical solution

[0008] To achieve the above objectives, the present invention is implemented through the following technical solutions:

[0009] A green carbon data reporting platform, comprising:

[0010] Green carbon data collection module, which obtains green carbon data, and the green carbon data includes the energy consumption and carbon emissions of the same batch of raw materials in the production process, and the energy consumption and carbon emissions of the same batch of raw materials in the transportation process;

[0011] Green carbon data processing and storage module, which cleans the green carbon data and stores it in a temporary database;

[0012] The green carbon data analysis module uses time series analysis to evaluate the changing trend of green carbon data over time. Within the preset time period T, the energy consumption in the production process at each time t is obtained. ot and carbon emissions Tp ot , energy consumption during transportation nh yt and carbon emissions Tp yt , calculate and generate the carbon energy stability coefficient Twx in the production process o and the carbon energy stability factor Twx during transportation y ; Under the premise of the production process, compare the carbon energy stability coefficient Twx of different batches of raw materials o , if the carbon energy stability coefficient Twx of any batch of raw materials o If the preset evaluation threshold is exceeded, the first identification adjustment strategy is executed; under the premise of the transportation process, the carbon energy stability coefficient Twx of different batches of raw materials is compared. y , if the carbon energy stability coefficient Twx of any batch of raw materials y If the preset evaluation threshold is exceeded, a second identification adjustment strategy is executed;

[0013] Upload the planning module to obtain the carbon energy stability coefficient Twx of the raw materials in the production process of the current batch o and the carbon energy stability factor Twx during transportation y, calculate and generate the carbon energy stability mean, and compare the carbon energy stability mean with the preset standard threshold. If the carbon energy stability mean exceeds the standard threshold, all data under the batch will be uploaded; otherwise, only the summary data needs to be uploaded.

[0014] Furthermore, to obtain the energy consumption and carbon emissions of the same batch of raw materials during the production process, follow the following steps:

[0015] When using production equipment to produce this batch of raw materials, the electricity consumed by each production equipment after production can be summarized through the electric meter to obtain the energy consumption of the same batch of raw materials in the production process; check the carbon emission coefficient corresponding to the electricity, and calculate the carbon emissions of the same batch of raw materials in the production process based on the carbon emission coefficient and energy consumption. The formula is as follows:

[0016] Tp o =nh o * pio;

[0017] Where, Tp o Indicates the carbon emissions of the same batch of raw materials during the production process, nh o It represents the energy consumption of the same batch of raw materials in the production process, and pio represents the carbon emission coefficient corresponding to electricity.

[0018] Furthermore, the energy consumption and carbon emissions of the same batch of raw materials during transportation are calculated as follows:

[0019] Collect the transportation data of the batch of raw materials, including transportation distance, transportation mode and transportation volume, and collect the fuel consumption data of the transportation tools, find the carbon emission coefficient of the fuel, and calculate the energy consumption and carbon emissions of the same batch of raw materials during transportation. The formula is as follows:

[0020] nh y =L*sl*rh;

[0021] Tp y =nh y *piy;

[0022] In the formula, nh y It represents the energy consumption of the same batch of raw materials during transportation, L represents the transportation distance, sl represents the transportation volume, rh represents the fuel consumption, piy represents the carbon emission coefficient corresponding to the fuel, Tp y It indicates the carbon emissions of the same batch of raw materials during transportation.

[0023] Furthermore, the carbon energy stability coefficient Twx in the production process is generated o , the formula is as follows:

[0024]

[0025] NT t =a1nh ot +a2Tp ot ;

[0026] In the formula, NT t represents the carbon energy consumption evaluation value of the production process at the current moment, t = 1, 2, ..., n, n is a positive integer, Represents n carbon energy consumption emission assessment values ​​NT t The average value of a1 and a2 are the energy consumption in the production process nh ot and carbon emissions Tp ot The weight coefficient is a1>a2>0.

[0027] Furthermore, the carbon energy stability coefficient Twx during transportation is generated y , the formula is as follows:

[0028]

[0029] NR t =b1nh yt +b2Tp yt ;

[0030] In the formula, NR t represents the carbon energy consumption evaluation value of the transportation process at the current moment, t = 1, 2, ..., n, n is a positive integer, Represents n carbon energy consumption emission assessment values ​​NR t The average value of b1 and b2 are the energy consumption in the transportation process nh yt and carbon emissions Tp yt The weight coefficient is b1>b2>0.

[0031] Furthermore, the first identification adjustment strategy implemented is: adjust the parameters of the production equipment under the current batch, according to the established inspection frequency and the carbon energy stability coefficient Twx in the production process o , generate an estimated inspection frequency using the following formula:

[0032] Jg=Jol-Twx o *G;

[0033] In the formula, Jg represents the estimated inspection frequency, Jol represents the established inspection frequency, G represents the error correction coefficient, and the value range of G is 0 to 1;

[0034] And carry out regular inspections on production equipment under the current batch according to the estimated inspection frequency.

[0035] Furthermore, the second identification adjustment strategy is to optimize the transportation route while ensuring that the transportation process is barrier-free, select any other navigation route for transportation, and perform a secondary detection of the carbon energy stability coefficient Twx o If it still exceeds the assessment threshold, the mode of transportation will be changed.

[0036] Furthermore, the formula for calculating the average value of carbon energy stability is as follows:

[0037] Pw=(Twx o +Twx y ) / 2;

[0038] In the formula, Pw represents the stable mean value of carbon energy;

[0039] When uploading all the data of the batch, all the data include: During the production process, the energy consumption nh corresponding to each time t ot and carbon emissions Tp ot , during the transportation process, the energy consumption at each time t is nh yt and carbon emissions Tp yt .

[0040] A green carbon data reporting method comprises the following steps:

[0041] S1. Obtain green carbon data, which includes the energy consumption and carbon emissions of the same batch of raw materials during the production process, and the energy consumption and carbon emissions of the same batch of raw materials during the transportation process;

[0042] S2, clean the green carbon data and store it in a temporary database;

[0043] S3. Use time series analysis to evaluate the changing trend of green carbon data over time. Within the preset time period T, obtain the energy consumption nh in the production process at each time t. ot and carbon emissions Tp ot , energy consumption during transportation nh yt and carbon emissions Tp yt , calculate and generate the carbon energy stability coefficient Twx in the production process o and the carbon energy stability factor Twx during transportation y ; Under the premise of the production process, compare the carbon energy stability coefficient Twx of different batches of raw materials o , if the carbon energy stability coefficient Twx of any batch of raw materials o If the preset evaluation threshold is exceeded, the first identification adjustment strategy is executed; under the premise of the transportation process, the carbon energy stability coefficient Twx of different batches of raw materials is compared. y , if the carbon energy stability coefficient Twx of any batch of raw materials yIf the preset evaluation threshold is exceeded, a second identification adjustment strategy is executed;

[0044] S4. Obtain the carbon energy stability coefficient Twx of the raw materials in the production process of the current batch o and the carbon energy stability factor Twx during transportation y , calculate and generate the carbon energy stability mean, and compare the carbon energy stability mean with the preset standard threshold. If the carbon energy stability mean exceeds the standard threshold, all data under the batch will be uploaded; otherwise, only the summary data needs to be uploaded.

[0045] (III) Beneficial effects

[0046] The present invention provides a green carbon data reporting method and platform, which has the following beneficial effects:

[0047] 1. By collecting specific electricity consumption and transportation fuel consumption data and combining them with the corresponding carbon emission coefficients, the total carbon emissions during the production and transportation of raw materials are accurately calculated, providing a standardized process to ensure data consistency and comparability, and then automatically cleaning the green carbon data to ensure data quality;

[0048] 2. By regularly acquiring energy consumption and carbon emission data during production and transportation and applying time series analysis, the platform can monitor and evaluate changes in green carbon data in real time. By calculating the carbon energy stability coefficient, the solution can identify possible anomalies in the production or transportation process. If the carbon energy stability coefficient exceeds the preset threshold, the system will trigger corresponding adjustment strategies, such as adjusting production equipment parameters or optimizing transportation routes to reduce energy consumption and carbon emissions. In addition, optimizing transportation routes and methods can also reduce the environmental impact during transportation and achieve the purpose of reducing carbon emissions.

[0049] 3. By comparing the real-time calculated carbon energy stability mean with the preset threshold, the solution automatically decides whether to upload detailed data or summary data, which not only reduces unnecessary data transmission and storage, but also optimizes the use of network and storage resources; uploading detailed data can help the analysis team identify problems and trends more accurately, so as to quickly respond and adjust production or transportation strategies, which enhances the monitoring and management capabilities of the environmental impact of production and transportation links. When the data is stable, uploading summary data is sufficient to meet reporting and analysis needs, saving processing and analysis resources. BRIEF DESCRIPTION OF THE DRAWINGS

[0050] Figure 1 This is a schematic diagram of the module structure of a green carbon data reporting platform in the present invention;

[0051] Figure 2 This is an overall flow chart of a green carbon data reporting method in the present invention. DETAILED DESCRIPTION

[0052] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0053] Example 1: Please refer to Figure 1 , this embodiment provides a green carbon data reporting platform, which includes a green carbon data collection module, a green carbon data processing and storage module, a green carbon data analysis module and an upload planning module;

[0054] Green carbon data collection module, which obtains green carbon data, and the green carbon data includes the energy consumption and carbon emissions of the same batch of raw materials in the production process, and the energy consumption and carbon emissions of the same batch of raw materials in the transportation process;

[0055] Among them, the above energy consumption refers to the amount of electrical energy consumed;

[0056] To obtain the energy consumption and carbon emissions of the same batch of raw materials during the production process, follow the steps below:

[0057] When using production equipment to produce this batch of raw materials, the electricity consumed by each production equipment after production can be summarized through the electric meter to obtain the energy consumption of the same batch of raw materials in the production process; check the carbon emission coefficient corresponding to the electricity, and calculate the carbon emissions of the same batch of raw materials in the production process based on the carbon emission coefficient and energy consumption. The formula is as follows:

[0058] Tp o =nh o * pio;

[0059] Where, Tp o Indicates the carbon emissions of the same batch of raw materials during the production process, nh o It represents the energy consumption of the same batch of raw materials in the production process, that is, the total amount of electric energy consumed in the entire production process. pio represents the carbon emission coefficient corresponding to electricity, and the value range of pio is 0 to 1;

[0060] For example: a raw material uses electricity in the production process, 1000 kg of raw materials are produced, and the production of 1000 kg of raw materials consumes 2000 kilowatt-hours (kWh). Find the carbon emission coefficient corresponding to electricity. For example, the carbon emission coefficient of electricity is 0.5 kg of carbon dioxide / kilowatt-hour (kg CO / kWh). Calculate the carbon emissions of the same batch of raw materials in the production process: 2000kWh×0.5kg CO / kWh=1000kg CO2;

[0061] The energy consumption and carbon emissions of the same batch of raw materials during transportation are calculated as follows:

[0062] Collect transportation data about the batch of raw materials from the logistics company or transportation department, including transportation distance, transportation mode (such as truck, ship or airplane) and transportation volume. For example, the transportation distance of this batch of raw materials is 500 kilometers, and it is transported by truck with a total weight of 1,000 kilograms. Collect the fuel consumption data of the transportation tool, such as the fuel consumption of the truck per ton-kilometer of transportation is 0.3 liters / ton-kilometer (L / tkm); find the carbon emission coefficient of the fuel, such as the carbon emission coefficient of diesel is 2.68 kilograms of carbon dioxide / liter (kg CO2 / L); calculate the energy consumption and carbon emissions of the same batch of raw materials during transportation, based on the following formula:

[0063] nh y =L*sl*rh;

[0064] Tp y =nh y *piy;

[0065] In the formula, nh y It represents the energy consumption of the same batch of raw materials during transportation. L represents the transportation distance, sl represents the transportation volume, rh represents the fuel consumption, piy represents the carbon emission coefficient corresponding to the fuel, and the value range of piy is 1 to 3. y Indicates the carbon emissions of the same batch of raw materials during transportation;

[0066] For example: Based on the example data in the step, the fuel consumption of truck transportation is calculated, that is, the energy consumption of the same batch of raw materials during transportation is 150L, ​​and the carbon emissions of the same batch of raw materials during transportation are 402kg CO2.

[0067] Green carbon data processing and storage module, which cleans the green carbon data and stores it in a temporary database;

[0068] Among them, the green carbon data is cleaned to ensure the accuracy and consistency of the data, and automatically identify and correct common data errors, including missing values ​​and outliers;

[0069] A temporary database is a database used to store data in the short term for intermediate processing, data transmission or temporary calculation. The main feature of a temporary database is that the data will not be stored for a long time and the data life cycle is short. Once a specific task or calculation is completed, the data may be cleared or transferred to long-term storage.

[0070] Common temporary database types:

[0071] In-memory databases: such as Redis and Memcached, data is stored in memory, with fast read and write speeds, and are suitable for data storage scenarios that require high performance; temporary tables: in relational databases (such as MySQL and PostgreSQL), temporary tables can be created to store temporary data, and these tables will be automatically deleted after the session ends or the transaction is completed; NoSQL databases: such as MongoDB, temporary collections can be quickly created and deleted to store temporary data; file databases: such as SQLite, can be used for small-scale temporary data storage and are easy to manage in the local file system.

[0072] Specifically, by collecting specific electricity consumption and transportation fuel consumption data and combining them with the corresponding carbon emission coefficients, the total carbon emissions during the production and transportation of raw materials are accurately calculated, providing a standardized process to ensure data consistency and comparability, and then automatically cleaning the green carbon data to ensure data quality.

[0073] The green carbon data analysis module uses time series analysis to evaluate the changing trend of green carbon data over time. Within the preset time period T, the energy consumption in the production process at each time t is obtained. ot and carbon emissions Tp ot , energy consumption during transportation nh yt and carbon emissions Tp yt , calculate and generate the carbon energy stability coefficient Twx in the production process o and the carbon energy stability factor Twx during transportation y ;

[0074] Under the premise of the production process, compare the carbon energy stability coefficient Twx of different batches of raw materials o , if the carbon energy stability coefficient Twx of any batch of raw materials o If the preset evaluation threshold is exceeded, the first identification adjustment strategy is executed; otherwise, no response action is taken;

[0075] Compare the carbon energy stability coefficient Twx of different batches of raw materials under the premise of transportation process y , if the carbon energy stability coefficient Twx of any batch of raw materials y If the preset evaluation threshold is exceeded, the second identification adjustment strategy is executed; otherwise, no response action is taken;

[0076] Among them, the carbon energy stability coefficient Twx generated in the production process o , the formula is as follows:

[0077]

[0078] NT t =a1nh ot+a2Tp ot ;

[0079] Where NT t represents the carbon energy consumption evaluation value of the production process at the current moment, t = 1, 2, ..., n, n is a positive integer, Represents n carbon energy consumption emission assessment values ​​NT t The average value of, and n = T, NT t It reflects the comprehensive situation of energy consumption and carbon emissions at the current time t. If NT t The higher the value, the greater the possibility of abnormality. Similarly, the carbon energy stability coefficient Twx o The larger the value is, the greater the possibility of abnormality. a1 and a2 are the energy consumption in the production process, nh. ot and carbon emissions Tp ot The weight coefficient of , and a1>a2>0;

[0080] Generate the carbon energy stability factor Twx during transportation y , the formula is as follows:

[0081]

[0082] NR t =b1nh yt +b2Tp yt ;

[0083] In the formula, NR t represents the carbon energy consumption evaluation value of the transportation process at the current moment, t = 1, 2, ..., n, n is a positive integer, Represents n carbon energy consumption emission assessment values ​​NR t The average value of b1 and b2 are the energy consumption in the transportation process nh yt and carbon emissions Tp yt The weight coefficient of , and b1>b2>0;

[0084] It should be noted that the calculation of Twx o and NT t Before, the data used needs to be dimensionless. For Twx y and NR t The same goes for this;

[0085] The first identification adjustment strategy implemented is:

[0086] Adjust the parameters of the production equipment for the current batch, based on the established inspection frequency and the carbon energy stability coefficient Twx during the production process o , generate an estimated inspection frequency using the following formula:

[0087] Jg=Jol-Twxo *G;

[0088] In the formula, Jg represents the estimated inspection frequency, Jol represents the established inspection frequency, and G represents the error correction coefficient, the specific value of which can be adjusted and set by the user or generated by analytical function fitting, and the value range of G is 0 to 1;

[0089] Conduct regular inspections on production equipment under the current batch according to the estimated inspection frequency;

[0090] Among them, adjust the parameters of the production equipment under the current batch, specifically: determine the key parameters (such as temperature, pressure, speed) that have the greatest impact on production efficiency and quality; step-by-step adjustment: adopt a step-by-step adjustment method to change one parameter at a time and observe its impact on the production process; temperature adjustment: appropriately lower or increase the temperature and observe the impact on product quality and energy consumption; pressure adjustment: adjust the pressure to ensure operation within the optimal range; speed adjustment: adjust the operating speed of the production equipment to find the balance point between production efficiency and quality;

[0091] The second identification adjustment strategy implemented is:

[0092] Under the condition of ensuring the transportation process is barrier-free, optimize the transportation route, select any other navigation route for transportation, and conduct a secondary inspection of the carbon energy stability coefficient Twx o If it still exceeds the assessment threshold, the mode of transportation will be changed; for example: if it is found that the carbon emissions of a specific mode of transportation (such as shipping) are significantly higher than other modes, it is necessary to consider replacing other modes, such as changing to land truck transportation.

[0093] Specifically, by regularly obtaining energy consumption and carbon emission data during production and transportation and applying time series analysis, the platform can monitor and evaluate changes in green carbon data in real time. By calculating the carbon energy stability coefficient, the solution can identify possible environmental efficiency anomalies in the production or transportation process. If the carbon energy stability coefficient exceeds the preset threshold, the system will trigger corresponding adjustment strategies, such as adjusting production equipment parameters or optimizing transportation routes to reduce energy consumption and carbon emissions. In addition, optimizing transportation routes and methods can also reduce the environmental impact during transportation and achieve the purpose of reducing carbon emissions.

[0094] Upload the planning module to obtain the carbon energy stability coefficient Twx of the raw materials in the production process of the current batch o and the carbon energy stability factor Twx during transportation y , calculate and generate the carbon energy stability mean, and compare the carbon energy stability mean with the preset standard threshold. If the carbon energy stability mean exceeds the standard threshold, all data under the batch will be uploaded; otherwise, only the summary data needs to be uploaded;

[0095] The formula for calculating the stable mean value of generated carbon energy is as follows:

[0096] Pw=(Twx o +Twx y ) / 2;

[0097] In the formula, Pw represents the stable mean value of carbon energy;

[0098] When uploading all the data of the batch, all the data include: During the production process, the energy consumption nh corresponding to each time t ot and carbon emissions Tp ot , during the transportation process, the energy consumption at each time t is nh yt and carbon emissions Tp yt ;

[0099] When you only need to upload summary data, the summary data includes the total energy consumption and total carbon emissions in the production process, the total energy consumption and total carbon emissions in the transportation process; under different premises, the total energy consumption is calculated by accumulating the corresponding energy consumption at each time t, and the total carbon emissions is calculated by accumulating the corresponding carbon emissions at each time t.

[0100] Specifically, by comparing the real-time calculated carbon energy stability average with the preset threshold, the solution automatically decides whether to upload detailed data or summary data, which not only reduces unnecessary data transmission and storage, but also optimizes the use of network and storage resources; uploading detailed data can help the analysis team identify problems and trends more accurately, so as to quickly respond and adjust production or transportation strategies, which enhances the monitoring and management capabilities of the environmental impact of production and transportation links. When the data is stable, uploading summary data is sufficient to meet reporting and analysis needs, saving processing and analysis resources.

[0101] Example 2: Please refer to Figure 2 Based on Example 1, this example further provides a method for reporting green carbon data, including the following specific steps:

[0102] S1. Obtain green carbon data, which includes the energy consumption and carbon emissions of the same batch of raw materials during the production process, and the energy consumption and carbon emissions of the same batch of raw materials during the transportation process;

[0103] S2, clean the green carbon data and store it in a temporary database;

[0104] S3. Use time series analysis to evaluate the changing trend of green carbon data over time. Within the preset time period T, obtain the energy consumption and carbon emissions in the production process, the energy consumption and carbon emissions in the transportation process at each time t, and calculate the carbon energy stability coefficient in the production process and the carbon energy stability coefficient in the transportation process; under the premise of the production process, compare the carbon energy stability coefficients of different batches of raw materials. If the carbon energy stability coefficient of any batch of raw materials exceeds the preset evaluation threshold, execute the first identification and adjustment strategy; under the premise of the transportation process, compare the carbon energy stability coefficients of different batches of raw materials. If the carbon energy stability coefficient of any batch of raw materials exceeds the preset evaluation threshold, execute the second identification and adjustment strategy;

[0105] S4. Obtain the carbon energy stability coefficient of the raw materials in the current batch during the production process and the carbon energy stability coefficient during the transportation process, calculate and generate the carbon energy stability mean, and compare the carbon energy stability mean with the preset standard threshold. If the carbon energy stability mean exceeds the standard threshold, upload all data under the batch; otherwise, only the summary data needs to be uploaded.

[0106] In the application, the several formulas involved are all calculated by removing the dimensions and taking their numerical values. The formula is a formula obtained by collecting a large amount of data and performing software simulation to obtain the most recent real situation. The formula is set by technical personnel in this field according to actual conditions.

[0107] The above embodiments may be implemented in whole or in part by software, hardware, firmware or any other combination thereof. When implemented using software, the above embodiments may be implemented in whole or in part in the form of a computer program product. A person of ordinary skill in the art may appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein may be implemented in electronic hardware, or in a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution.

[0108] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, and may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0109] The above description is only a specific implementation manner of the present application, but the protection scope of the present application is not limited thereto. Any technician familiar with the technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application.

Claims

1. A green carbon data reporting platform, characterized in that: The platform includes: Green carbon data collection module, which obtains green carbon data, and the green carbon data includes the energy consumption and carbon emissions of the same batch of raw materials in the production process, and the energy consumption and carbon emissions of the same batch of raw materials in the transportation process; Green carbon data processing and storage module, which cleans the green carbon data and stores it in a temporary database; The green carbon data analysis module uses time series analysis to evaluate the changing trend of green carbon data over time, and obtains the energy consumption of the production process at each time t within the preset time period T. and carbon emissions , energy consumption during transportation and carbon emissions , calculate the carbon energy stability coefficient in the production process and carbon energy stability factor during transportation ; Under the premise of the production process, compare the carbon energy stability coefficient of different batches of raw materials , if the carbon energy stability coefficient of any batch of raw materials If the preset assessment threshold is exceeded, the first identification adjustment strategy is executed; under the premise of the transportation process, the carbon energy stability coefficient of different batches of raw materials is compared. , if the carbon energy stability coefficient of any batch of raw materials If the preset evaluation threshold is exceeded, a second identification adjustment strategy is executed; Upload the planning module to obtain the carbon energy stability coefficient of the raw materials in the production process of the current batch and carbon energy stability factor during transportation , calculate and generate the carbon energy stability mean, and compare the carbon energy stability mean with the preset standard threshold. If the carbon energy stability mean exceeds the standard threshold, all data under the batch will be uploaded; otherwise, only the summary data needs to be uploaded; Generate carbon energy stability coefficient in production process , the formula is as follows: ; ; In the formula, Represents the carbon energy consumption evaluation value of the production process at the current moment, t=1, 2, ..., n, n is a positive integer, Represents n carbon energy consumption emission assessment values The average value of The energy consumption in the production process is and carbon emissions The weight coefficient of ; Generate carbon energy stability factor during transportation , the formula is as follows: ; ; In the formula, Represents the carbon energy consumption evaluation value of the transportation process at the current moment, t=1, 2, ..., n, n is a positive integer, Represents n carbon energy consumption emission assessment values The average value of The energy consumption during transportation is and carbon emissions The weight coefficient of ; The first identification adjustment strategy implemented is to adjust the parameters of the production equipment under the current batch, based on the established inspection frequency and the carbon energy stability coefficient in the production process , generate an estimated inspection frequency, the formula is as follows: ; In the formula, Indicates the estimated frequency of inspection, Indicates the established inspection frequency, represents the error correction factor, and The value range is 0~1; And conduct regular inspections on production equipment under the current batch according to the estimated inspection frequency; The second identification and adjustment strategy implemented is: optimize the transportation route while ensuring that the transportation process is barrier-free, select any other navigation route for transportation, and conduct a secondary inspection of the carbon energy stability coefficient. If it still exceeds the assessment threshold, the mode of transportation will be changed.

2. A green carbon data reporting platform according to claim 1, characterized in that: To obtain the energy consumption and carbon emissions of the same batch of raw materials during the production process, follow the steps below: When using production equipment to produce this batch of raw materials, the electricity consumed by each production equipment after production can be summarized through the electric meter to obtain the energy consumption of the same batch of raw materials in the production process; check the carbon emission coefficient corresponding to the electricity, and calculate the carbon emissions of the same batch of raw materials in the production process based on the carbon emission coefficient and energy consumption. The formula is as follows: ; In the formula, Indicates the carbon emissions of the same batch of raw materials during the production process. Indicates the energy consumption of the same batch of raw materials in the production process, Indicates the carbon emission coefficient corresponding to electricity.

3. A green carbon data reporting platform according to claim 2, characterized in that: The energy consumption and carbon emissions of the same batch of raw materials during transportation are calculated as follows: Collect the transportation data of the batch of raw materials, including transportation distance, transportation mode and transportation volume, and collect the fuel consumption data of the transportation tools, find the carbon emission coefficient of the fuel, and calculate the energy consumption and carbon emissions of the same batch of raw materials during transportation. The formula is as follows: ; ; In the formula, Indicates the energy consumption of the same batch of raw materials during transportation. Indicates the transport distance, Indicates the transport volume, Indicates fuel consumption, Indicates the carbon emission coefficient corresponding to the fuel, It indicates the carbon emissions of the same batch of raw materials during transportation.

4. A green carbon data reporting platform according to claim 1, characterized in that: The formula for calculating the mean value of carbon energy stability is as follows: ; In the formula, represents the stable mean value of carbon energy; When uploading all the data under this batch, all the data include: the energy consumption corresponding to each time t during the production process and carbon emissions , during the transportation process, the energy consumption at each time t is and carbon emissions .

5. A green carbon data reporting platform according to claim 4, characterized in that: The summary data includes the total energy consumption and total carbon emissions in the production process, and the total energy consumption and total carbon emissions in the transportation process; under different premises, the total energy consumption is calculated by adding up the corresponding energy consumption at each time t, and the total carbon emissions is calculated by adding up the corresponding carbon emissions at each time t.

6. A method for reporting green carbon data, using any platform described in claims 1 to 5, characterized in that: The steps include: S1. Obtain green carbon data, which includes the energy consumption and carbon emissions of the same batch of raw materials during the production process, and the energy consumption and carbon emissions of the same batch of raw materials during the transportation process; S2, clean the green carbon data and store it in a temporary database; S3. Use time series analysis to evaluate the changing trend of green carbon data over time, and obtain the energy consumption of the production process at each time t within the preset time period T. and carbon emissions , energy consumption during transportation and carbon emissions , calculate the carbon energy stability coefficient in the production process and carbon energy stability factor during transportation ; Under the premise of the production process, compare the carbon energy stability coefficient of different batches of raw materials , if the carbon energy stability coefficient of any batch of raw materials If the preset evaluation threshold is exceeded, the first identification adjustment strategy is executed; Compare the carbon energy stability coefficients of different batches of raw materials under the premise of transportation process , if the carbon energy stability coefficient of any batch of raw materials If the preset evaluation threshold is exceeded, a second identification adjustment strategy is executed; S4. Obtain the carbon energy stability coefficient of the raw materials in the production process of the current batch and carbon energy stability factor during transportation , calculate and generate the carbon energy stability mean, and compare the carbon energy stability mean with the preset standard threshold. If the carbon energy stability mean exceeds the standard threshold, all data under the batch will be uploaded; otherwise, only the summary data needs to be uploaded.

Images