Method and device for calculating carbon emissions of park based on multi-source data

Abstract

The application relates to the technical field of carbon emission accounting, in particular to a park carbon emission calculation method and device based on multi-source data. The method comprises the following steps: obtaining multi-source carbon emission related data of a park; calculating an initial value of a fossil fuel combustion emission amount according to energy activity data; calculating an initial value of an indirect emission amount of power consumption; calculating an initial value of an industrial process emission amount according to industrial production process data; calculating an initial value of a traffic mobile source emission amount according to traffic mobile source data; if the initial value of a first target emission category does not fall into a corresponding reference emission amount interval, the initial value of the first target emission category is corrected until the corrected emission amount value falls into the corresponding reference emission amount interval; and the corrected emission amount values of various emission categories are added to obtain a total park carbon emission amount. The method can accurately calculate the park carbon emission amount.

Description

Technical Field

[0001] This invention relates to the field of carbon emission accounting technology, specifically to a method and apparatus for calculating carbon emissions in industrial parks based on multi-source data. Background Technology

[0002] As a concentrated area of ​​industrial production, energy consumption, and carbon emissions, industrial parks account for a significant proportion of total social carbon emissions and are crucial for achieving carbon reduction targets. With the deepening implementation of climate change policies, the accuracy of carbon emission accounting in industrial parks directly impacts the effectiveness of regional carbon assessment, industry carbon control, and enterprise carbon management policies.

[0003] Existing research has proposed a carbon emission accounting method for industrial parks based on multidimensional data and historical data correction (such as CN121638673A). This method collects historical carbon emission data, basic energy consumption data, production process data, and external environmental data of the industrial park. It calculates the initial carbon emission based on the basic energy consumption data, obtains the carbon emission accounting error through differential processing based on the historical carbon emission data, and then calculates the production process correction factor, temperature impact correction factor, policy impact factor, and carbon price impact factor based on the production process data and external environmental data. Finally, it performs a comprehensive calculation on the initial carbon emission, carbon emission accounting error, and multiple correction factors to obtain the corrected carbon emission accounting result for the industrial park. This method improves the accounting error problem to some extent, but it still has the following limitations: On the one hand, its correction process relies on differential processing of historical carbon emission data, which requires high integrity and continuity of historical data, and is difficult to implement effectively when historical data of the park is missing or incomplete; on the other hand, its correction factors are mainly selected from macro dimensions such as production process, temperature, policy, and carbon price, and fail to perform item-by-item verification and correction for the quality of raw data of different emission categories (such as fossil fuel combustion, electricity consumption, industrial processes, and mobile sources of transportation). When the raw activity level data of a certain category itself has a deviation, the deviation may still be carried into the final accounting result.

[0004] In summary, existing carbon emission accounting methods for industrial parks suffer from inaccuracies due to inconsistent accounting standards, incomplete data coverage, and a lack of mechanisms for identifying and correcting anomalies for different emission categories. Therefore, there is an urgent need for a method that can integrate multi-source carbon emission data and independently verify and correct the initial accounting values ​​for each emission category when calculating carbon emissions for industrial parks. Summary of the Invention

[0005] To address the shortcomings of existing technologies, this invention provides a heating station environmental monitoring and early warning method based on dual-modal image sample training. The aim is to improve the accuracy of calculating the total carbon emissions of the industrial park by independently verifying and correcting the initial calculation values ​​of each emission category.

[0006] To achieve the above objectives, the present invention provides the following technical solution: a method for calculating carbon emissions in industrial parks based on multi-source data, the method comprising: Acquire multi-source carbon emission data related to the park, including energy activity data, renewable energy consumption data, industrial production process data, and transportation mobile source data; Based on the energy activity data, an initial value for fossil fuel combustion emissions is calculated; based on the renewable energy consumption data and the purchased electricity data in the energy activity data, an initial value for indirect emissions from electricity consumption is calculated; based on the industrial production process data, an initial value for industrial process emissions is calculated; based on the transportation mobile source data, an initial value for transportation mobile source emissions is calculated. Determine whether the initial values ​​for each emission category fall within the corresponding reference emission range; If the initial value of the first target emission category does not fall into the corresponding reference emission range, the initial value of the first target emission category is corrected until the corrected emission value falls into the corresponding reference emission range. The total carbon emissions of the park are obtained by summing the corrected emission values ​​for each emission category.

[0007] Preferably, the reference emission range is obtained in the following way: Based on the activity level data corresponding to each emission category and the emission intensity reference range of the industry to which the emission category belongs, the reference emission range for each emission category is determined.

[0008] Preferably, the correction of the initial value of the first target emission category includes: The deviation rate is obtained based on the initial value of the first target emission category and the corresponding reference emission range; If the absolute value of the deviation rate is less than or equal to the first threshold, the corrected emission value is obtained based on the initial value of the first target emission category and the correction coefficient. If the absolute value of the deviation rate is greater than the first threshold and less than or equal to the second threshold, then the first operation is performed on each of the original data items used to calculate the initial value of the first target emission category, and the corrected emission value is obtained based on each of the original data items after the first operation is performed. If the absolute value of the deviation rate is greater than the second threshold, then the second operation is performed on each of the original data items used to calculate the initial value of the first target emission category, and the corrected emission value is obtained based on each of the original data items after the second operation is performed. The corrected emission values ​​are compared again with the corresponding reference emission range. If the corrected emission values ​​still do not fall within the reference emission range, the deviation rate is recalculated.

[0009] Preferably, the formula for calculating the deviation rate is:

[0010] in, Indicates the deviation rate. This represents the initial value for the first target emission category. This represents the midpoint of the reference emission range. , This indicates the lower limit of the reference emission range. This indicates the upper limit of the reference emission range.

[0011] Preferably, the expression for calculating the first threshold is:

[0012] in, Indicates the first threshold. Indicates the industry emissions fluctuation coefficient. , This indicates the lower limit of the reference emission range. This indicates the upper limit of the reference emission range. This represents the midpoint of the reference emission range; The expression for calculating the second threshold is:

[0013] in, This indicates the second threshold.

[0014] Preferably, the method further includes: If the number of corrections to the initial value of the first target emission category reaches the preset number of corrections, and the corrected emission value still does not fall into the corresponding reference emission range, then the first target emission category will be marked as requiring manual review.

[0015] Preferably, the method further includes: If the initial value of the emission category falls within the corresponding reference emission range, then the initial value of the emission category will be used as the corrected emission value.

[0016] Preferably, after obtaining the total carbon emissions of the park, the method further includes: An annual carbon emission report for the park is generated based on the total carbon emissions of the park and the corrected emission values ​​for each emission category. The carbon emission report includes the corrected emission values ​​for each emission category, the proportion of the corrected emission values ​​for each emission category to the total carbon emissions of the park, and the rate of change of the total carbon emissions of the park compared with the data of the same period of the previous year.

[0017] Preferably, the method further includes: The original data items, data source system identifiers, data acquisition time, and records of the correction operations performed for each emission category are associated and stored with the corresponding correction emission values.

[0018] This invention also discloses a device for calculating carbon emissions in industrial parks based on multi-source data, the device comprising: The acquisition module is used to acquire multi-source carbon emission related data of the park, including energy activity data, renewable energy consumption data, industrial production process data and transportation mobile source data; The processing module is configured to: calculate initial values ​​for fossil fuel combustion emissions based on the energy activity data; calculate initial values ​​for indirect emissions from electricity consumption based on the renewable energy consumption data and the purchased electricity data in the energy activity data; calculate initial values ​​for industrial process emissions based on the industrial production process data; calculate initial values ​​for transportation mobile source emissions based on the transportation mobile source data; determine whether the initial values ​​of each emission category fall within the corresponding reference emission range; if the initial value of a first target emission category does not fall within the corresponding reference emission range, then correct the initial value of the first target emission category until the corrected emission value falls within the corresponding reference emission range; The determination module is used to sum the corrected emission values ​​for each emission category to obtain the total carbon emissions of the park.

[0019] Compared with existing technologies, this invention has the following advantages: By simultaneously collecting four types of multi-source carbon emission-related data—energy activity data, renewable energy consumption data, industrial production process data, and transportation mobile source data—this invention comprehensively covers all emission sources in the industrial park, overcoming the problem of missing data sources in existing solutions. In the sub-item accounting stage, this invention matches corresponding reference emission ranges for each of the four emission categories: fossil fuel combustion, electricity consumption, industrial processes, and transportation mobile sources, and independently verifies the initial accounting value for each category. When the initial value of a certain emission category does not fall within the corresponding reference range, differentiated correction strategies are adopted according to the degree of deviation, such as correction coefficient conversion, data periodic verification and completion, data unit correction, and key record completion, to ensure that the emission values ​​of each category fall within a reasonable range before summing. This "sub-item verification, graded correction, and re-summarization" technical approach can accurately locate and address emission categories with deviations when historical data is missing or incomplete in the industrial park, avoiding the direct transmission of single-category data deviations to the final total carbon emissions. This effectively improves the accuracy and reliability of the total carbon emissions calculation in the industrial park and has a wider range of applicable scenarios. Attached Figure Description

[0020] Figure 1A schematic diagram illustrating an application scenario provided in an embodiment of this application; Figure 2 A flowchart illustrating a method for calculating park carbon emissions based on multi-source data, provided in this application embodiment; Figure 3 A schematic diagram of a park carbon emission calculation device based on multi-source data provided in this application embodiment; Figure 4 This is a schematic diagram of a computing device provided in an embodiment of this application. Detailed Implementation

[0021] The technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments.

[0022] Current carbon emission accounting methods in industrial parks rely solely on limited data from park management platforms and enterprise reports for multiplication and aggregation. They fail to comprehensively collect data on renewable energy consumption, industrial production, and transportation, resulting in a narrow data coverage and making it prone to deviations in various emission figures. Furthermore, existing schemes lack a comparison process with reference emission ranges, failing to identify anomalies in individual emission values. Abnormal values ​​are directly included in the aggregation calculation without any adjustments, leading to discrepancies between the final calculated total carbon emissions and the actual emissions in the park.

[0023] In view of this, embodiments of this application provide a method for calculating the carbon emissions of a park based on multi-source data, which can be executed by a processing device.

[0024] Current carbon accounting in industrial parks relies solely on limited data from enterprise and platform reports, directly multiplying these data by emission factors and summing them. This lack of unified evaluation standards makes the calculated values ​​prone to inaccuracies. This application first comprehensively collects carbon emission data from four categories: energy, green electricity, industry, and transportation, calculating initial values ​​for each type of emission. Then, it defines reference emission ranges based on industry emission intensity, using these ranges to verify the initial values ​​for each category. For emission categories whose values ​​fall outside the ranges, the data is continuously corrected until they meet the standards. Qualified values ​​are directly used, and finally, all verified values ​​are summed to obtain the total carbon emissions for the industrial park, thereby improving the inaccuracies of existing accounting methods.

[0025] To make the technical solution of this application clearer and easier to understand, the application scenarios of the technical solution of this application are described below with reference to the accompanying drawings. Figure 1 As shown in the figure, this figure is a schematic diagram of an application scenario provided by an embodiment of this application.

[0026] In this application scenario, the processing device (e.g., an industrial server 102 deployed in the park's control room) establishes data communication links with various metering terminals, production systems, and logistics platforms within park 101. Through communication interaction, the processing device acquires multi-source carbon emission-related data generated within park 101, including energy activity data, renewable energy consumption data, industrial production process data, and transportation mobile source data. The processing device retrieves the acquired energy activity data and calculates the initial value of fossil fuel combustion emissions. Combining the renewable energy consumption data with the purchased electricity data within the energy activity data, the processing device calculates the initial value of indirect emissions from electricity consumption. The processing equipment retrieves industrial production process data and calculates the initial value of industrial process emissions; it retrieves traffic mobile source data and calculates the initial value of traffic mobile source emissions; it retrieves the reference emission range corresponding to each emission category and determines whether the initial value of each emission category falls within the corresponding reference emission range; when the initial value of the first target emission category does not fall within the corresponding reference emission range, the processing equipment continuously performs a correction operation on the initial value of the first target emission category until the corrected emission value falls within the corresponding reference emission range; the processing equipment performs a summation operation on the corrected emission values ​​of all emission categories to obtain the total carbon emissions of the park corresponding to Park 101.

[0027] To make the technical solution of this application clearer and easier to understand, the following application scenarios will be used to introduce a method for calculating park carbon emissions based on multi-source data provided in the embodiments of this application. For example... Figure 2 As shown, this figure is a flowchart of a method for calculating park carbon emissions based on multi-source data, provided in an embodiment of this application. In this embodiment, the method includes: S201. The processing equipment acquires multi-source carbon emission data related to the park, including energy activity data, renewable energy consumption data, industrial production process data, and transportation mobile source data.

[0028] Multi-source carbon emission data is generated by different business terminals and management systems within the park, and is a complete set of raw data reflecting all sources of greenhouse gas emissions in the park; energy activity data is a metering record of the consumption of various energy sources such as electricity, gas, coal, and heat within the park, including the consumption quantity, usage period, and supply entity information of each type of energy; renewable energy consumption data is a ledger of the electricity generated by renewable energy sources such as photovoltaic and wind power used by the park, the number of green certificates held, and the electricity volume corresponding to purchased green electricity; industrial production process data is a record of the product output, raw material usage, and production process type corresponding to the process emissions generated by the production processes of enterprises within the park; traffic mobile source data is a statistical record of the fuel consumption, mileage, and vehicle type of commuter vehicles, freight vehicles, and shuttle vehicles within the park.

[0029] The processing equipment establishes data transmission channels to connect with electricity meters, gas metering terminals, production control systems, logistics registration platforms, and new energy grid connection systems within the park. It captures scattered records through two methods: protocol reading and ledger import. The captured records are then uniformly collected and integrated to form multi-source carbon emission related data. This set of data comprehensively includes the original records of four emission scenarios in the park: energy use, green electricity use, industrial production, and on-site traffic. The recorded content can reflect the activity level corresponding to all greenhouse gas emission activities in the park.

[0030] S202. The treatment equipment calculates the initial value of fossil fuel combustion emissions based on energy activity data; calculates the initial value of indirect emissions from electricity consumption based on renewable energy consumption data and purchased electricity data from energy activity data; calculates the initial value of industrial process emissions based on industrial production process data; and calculates the initial value of transportation mobile source emissions based on transportation mobile source data.

[0031] The initial value for fossil fuel combustion emissions is a preliminary emission figure calculated directly from the park's energy activity data, based on records of various fossil fuel consumption and corresponding emission factors. This corresponds to the amount of greenhouse gases produced by fuel combustion within the park. Purchased electricity data, a branch of energy activity data, records the monthly and annual electricity consumption of the park from external power grids. The initial value for indirect emissions from electricity consumption is a preliminary emission figure calculated by combining the park's green electricity usage records with conventional purchased electricity consumption. This corresponds to the amount of greenhouse gases derived from the park's electricity consumption behavior. The initial value for industrial process emissions is a preliminary emission figure calculated based on enterprise production processes, raw materials, and output records. This corresponds to the amount of greenhouse gases released by industrial chemical reactions. The initial value for mobile source emissions is a preliminary emission figure calculated based on fuel consumption and mileage records of various vehicles within the park. This corresponds to the amount of greenhouse gases produced by the combustion of fuel by mobile vehicles within the park.

[0032] The multi-source carbon emission data, after being broken down and collected by the processing equipment, was divided into four independent datasets: energy activity data, renewable energy consumption data, industrial production process data, and transportation mobile source data. For each dataset, corresponding industry emission accounting parameters and calculation formulas were matched, and numerical calculations were performed sequentially across the four categories, generating initial values ​​for each of the four emission categories. These initial values ​​correspond to the greenhouse gas statistics generated by fossil fuel combustion, purchased electricity use, industrial production processes, and on-site transportation activities within the park. These values ​​were generated directly from the raw collected data without undergoing interval verification or correction.

[0033] The initial value for fossil fuel combustion emissions is calculated using the following expression:

[0034] in, This represents the initial value for emissions from the combustion of fossil fuels. This represents the consumption of the i-th type of fossil fuel. This represents the average lower heating value of the i-th type of fossil fuel. This represents the carbon content per unit calorific value of the i-th type of fossil fuel. Represents the carbon oxidation rate of the i-th type of fossil fuel. It represents the ratio of the relative molecular mass of carbon dioxide to that of carbon. This indicates the total number of types of fossil fuels.

[0035] The initial value for indirect emissions from electricity consumption is calculated using the following expression:

[0036] in, This represents the initial value of indirect emissions from electricity consumption. This indicates the total electricity purchased from outside the park within the energy activity data. This indicates the amount of green electricity consumed by the park within the renewable energy consumption data. This represents the regional power grid's baseline emission factor.

[0037] The initial value of industrial process emissions is calculated using the following expression:

[0038] in, This represents the initial value of industrial process emissions. This represents the total output of industrial product category j within the statistical period. This represents the process emission factor corresponding to the j-th type of industrial product. This represents the total usage of the k-th type of carbon-containing raw material within the statistical period. This represents the emission factor of the raw material corresponding to the k-th type of raw material. This indicates the total number of product categories affected by process emissions. This indicates the total number of types of raw materials discharged.

[0039] The initial value of emissions from mobile sources of transportation is calculated using the following expression:

[0040] in, This represents the initial value of emissions from mobile sources of transportation. This represents the total number of vehicle categories counted. This represents the total mileage driven by vehicles of category a during the statistical period. This represents the fuel consumption per unit mileage for vehicle type a. This represents the emission factor of the fuel used by vehicles of category a.

[0041] S203. The treatment equipment determines whether the initial value of each emission category falls within the corresponding reference emission range.

[0042] The emission categories are divided into four types based on the sources of greenhouse gases in the industrial park: fossil fuel combustion, indirect electricity consumption, industrial processes, and transportation mobile sources. The reference emission range is a range of upper and lower limits defined by activity level data for the corresponding emission category and industry emission intensity reference ranges, used to compare with the initial calculated values.

[0043] The reference emission range is obtained in the following way: The treatment equipment determines the reference emission range for each emission category based on the activity level data corresponding to each emission category and the emission intensity reference range of the industry to which the emission category belongs.

[0044] Activity level data are quantitative statistics on emissions behavior generated within a statistical period under a corresponding emission category, such as fuel consumption, product output, total vehicle mileage, and purchased electricity. The industry emission intensity reference range is a numerical range consisting of the lower and upper limits of the publicly available unit activity level emissions values ​​for the corresponding emission category within the industry.

[0045] The processing equipment first retrieves the activity level data corresponding to a single emission category, and simultaneously retrieves the emission intensity reference range for the industry to which that emission category belongs. It then extracts two sets of values: the lower limit and the upper limit of the industry emission intensity. The activity level data is multiplied by these two sets of intensity values ​​to calculate the lower and upper limits of the emission volume for that category. These two sets of values ​​are then combined to form a reference emission range specific to that emission category. Each generated reference emission range contains two boundary values: a lower limit and an upper limit. These boundary values ​​reflect the typical fluctuation range of emission values ​​for that category under the same activity scale within the same industry.

[0046] Assume the activity level data corresponding to a certain emission category is The lower limit of the emission intensity reference range for the industry to which this category belongs is The upper limit is .

[0047] Calculate the lower limit of the reference emission range for this emission category using the following formula. and upper limit value :

[0048]

[0049] The reference emission range for this emission category is: .

[0050] The processing equipment retrieves the initial emission values ​​corresponding to all four emission categories, and simultaneously retrieves the reference emission range generated for each emission category. It then compares the initial emission value for each category with the upper and lower limits of that reference emission range. After comparison, two types of results are generated: one indicating the initial value falls between the upper and lower limits of the range, and the other indicating the initial value is less than the lower limit or greater than the upper limit. This result reflects the matching status between the initial calculated value of a single emission category and the industry's standard emission range.

[0051] S204. If the initial value of the first target emission category does not fall into the corresponding reference emission range, the initial value of the first target emission category shall be corrected until the corrected emission value falls into the corresponding reference emission range.

[0052] The first target emission category is a single emission category where, after numerical comparison, the initial emission value does not fall within the corresponding reference emission range, requiring correction. The corrected emission value is the new emission value obtained after processing and recalculating the initial value.

[0053] In some embodiments, the processing device obtains a deviation rate based on the initial value of the first target emission category and the corresponding reference emission range; if the absolute value of the deviation rate is less than or equal to a first threshold, a corrected emission value is obtained based on the initial value of the first target emission category and a correction coefficient; if the absolute value of the deviation rate is greater than the first threshold and less than or equal to a second threshold, a first operation is performed on each original data item used to calculate the initial value of the first target emission category, and a corrected emission value is obtained based on each original data item after the first operation; if the absolute value of the deviation rate is greater than the second threshold, a second operation is performed on each original data item used to calculate the initial value of the first target emission category, and a corrected emission value is obtained based on each original data item after the second operation; the corrected emission value is re-compared with the corresponding reference emission range, and if the corrected emission value still does not fall within the reference emission range, the deviation rate is recalculated.

[0054] The deviation rate is a percentage value reflecting the degree of deviation between the initial emission value and the median value of the range. The first threshold and second threshold are two percentage boundaries automatically calculated from the reference emission range for the corresponding emission category; the first threshold value is less than the second threshold. The correction factor is a conversion parameter automatically calculated based on the ratio of the median value of the range to the initial emission value. The raw data items are basic statistical records used to calculate emissions for this category, such as fuel, production, and mileage. The first operation is a data periodic verification and completion process for moderate deviations. The second operation is a data unit correction and key record completion process for significant deviations.

[0055] The processing equipment retrieves the initial emission value and corresponding reference emission range for the first target emission category, substitutes them into the formula to calculate the deviation rate; the processing equipment compares the absolute value of the deviation with the automatically generated first threshold and second threshold, and performs calculations along three paths: The first path involves multiplying the automatically generated correction coefficient by the initial value when the absolute value of the deviation does not exceed the first threshold, thus directly generating the corrected emission value. The second path involves retrieving all raw data items and performing the first operation when the absolute value of the deviation is between the first and second thresholds. Each raw data item is checked against its corresponding statistical period, data items whose time range exceeds the accounting statistical period are deleted, and missing data items that exist in the ledger but have not been entered are supplemented. For missing data items, the average value of the two consecutive months of valid data for that indicator is taken to fill the missing position. After all raw data has been periodically verified and supplemented, the entire set of processed raw data is substituted into the basic emission calculation formula corresponding to the emission category and recalculated to produce the corrected emission value. The third path involves retrieving all raw data items and performing the second operation when the absolute value of the deviation exceeds the second threshold. This involves checking the measurement units labeled in each raw data item. If the recorded unit is inconsistent with the accounting standard unit, the values ​​of all data items are converted according to the unified standard. The entire data list is traversed to identify and supplement any missing key measurement records. After all raw data has been converted to units and missing data has been supplemented, the updated set of raw data is substituted into the basic emission calculation formula corresponding to the emission category and recalculated to produce the corrected emission value.

[0056] After each round of calculation, the processing equipment compares the newly generated corrected emission value with the reference emission range. If the value is still outside the range, the relevant values ​​are retrieved again to recalculate the deviation rate, and the entire graded correction process is repeated. The corrected emission value produced in each round of operation is a statistical value of greenhouse emissions for that category, recalculated based on the corresponding gradient data processing method.

[0057] The formula for calculating the deviation rate is:

[0058]

[0059] in, Indicates the deviation rate. This represents the initial value for the first target emission category. Indicates the middle value of the interval. This indicates the lower limit of the reference emission range. This indicates the upper limit of the reference emission range.

[0060] The formula for calculating the correction factor is:

[0061] in, Indicates the correction factor. Indicates the middle value of the interval. This represents the initial value for the first target emission category.

[0062] The expression for calculating the first threshold is:

[0063]

[0064] in, Indicates the first threshold. This represents the industry emissions volatility coefficient, characterizing the overall fluctuation range of emissions values ​​under the same scale of activities within the same industry. The expression for calculating the second threshold is:

[0065] in, This indicates the second threshold.

[0066] If the number of corrections to the initial value of the first target emission category reaches the preset number of corrections, and the corrected emission value still does not fall into the corresponding reference emission range, then the first target emission category will be marked as requiring manual review.

[0067] The number of corrections refers to the cumulative number of rounds in which a complete cycle of deviation rate calculation, grading correction, and interval comparison is executed for the same primary target emission category. The preset number of corrections is a pre-set maximum number of automatic correction cycles, used to limit the upper limit of repeated calculations for automatic correction by the equipment.

[0068] For each round of deviation rate calculation, grading correction, and interval comparison for the same primary target emission category, the processing equipment increments the cumulative correction count by one. The equipment continuously reads the real-time cumulative correction count and compares it with the preset correction count. When the cumulative correction count equals the preset count, and the corrected emission value generated in the current round still does not fall within the corresponding reference emission range, the equipment retrieves the identification information for that primary target emission category and attaches a unique identification tag to complete the marking operation. After marking, a record of the primary target emission category with the identification tag is generated. This record indicates that even after multiple rounds of automatic data correction processing, the emission category still cannot produce statistical values ​​matching the industry's conventional emission value range, requiring manual intervention to verify the original data and calculation parameters.

[0069] If the initial value of the emission category falls within the corresponding reference emission range, then the initial value of the emission category will be used as the corrected emission value.

[0070] The processing equipment retrieves the initial emission value corresponding to a single emission category and the specific reference emission range for that category. It then compares the initial value with both the lower and upper limits of the range. When the initial value is greater than or equal to the lower limit and less than or equal to the upper limit, the processing equipment directly retrieves the initial emission value and assigns it the corrected emission value corresponding to that emission category. This corrected emission value directly uses the emission value obtained from the original data in a single calculation, reflecting the greenhouse gas emission scale of that category in accordance with the industry's conventional emission range based on the original statistical data calculation results.

[0071] S205. The treatment equipment sums up the corrected emission values ​​for each emission category to obtain the total carbon emissions of the park.

[0072] The total carbon emissions of the industrial park are the sum of the compliant emissions of all emission categories, representing the scale of greenhouse gas emissions during the entire statistical period of the industrial park.

[0073] The processing equipment sequentially retrieves the corrected emission values ​​corresponding to each of the four emission categories, extracts the specific magnitude of each set of values, and performs continuous addition operations on all values. After all four types of values ​​are summed, a unique aggregate value is generated as the total carbon emissions of the park. This aggregate value integrates the greenhouse gas emission statistics corresponding to four types of activities in the park: energy use, green electricity deduction, industrial production, and on-site transportation, and can reflect the total scale of greenhouse gases generated by the park as a whole within the statistical period.

[0074] The processing equipment retrieves all raw activity level data from the park, weights and integrates them to obtain the total baseline of activity levels in the park, retrieves the comprehensive benchmark emission intensity of the industry to which the park belongs, and multiplies the two to calculate the theoretical reference total carbon emissions of the park. The processing equipment then substitutes the industry fluctuation coefficient to calculate the verification allowable difference threshold, and obtains the total verification difference between the total carbon emissions of the park and the theoretical reference total. The total verification difference is compared with the verification allowable difference threshold. If the total verification difference is less than or equal to the verification allowable difference threshold, the total carbon emissions of the park are determined to pass the verification. If the total verification difference is greater than the allowable difference threshold, the total carbon emissions of the park are marked as abnormal, and all four emission categories, raw data items, and correction operation records of the park are simultaneously pushed for manual review. The verification judgment results produced by this verification process can reflect the degree of matching between the actual total emissions obtained by categorized accounting and accumulation and the overall theoretical emission level of the industry, and screen out abnormal accounting results with large-scale data distortion and errors in the correction process.

[0075] The expression for the total baseline of activity levels in the park is:

[0076] in, This represents the overall baseline for the activity level in the park. This represents the first weighting coefficient. This represents the second weighting coefficient. This represents the third weighting coefficient. This represents the fourth weighting coefficient. This represents activity level data corresponding to different categories of fossil fuel combustion emissions. This represents the activity level data corresponding to the indirect emission categories of electricity consumption. This represents the activity level data corresponding to the emission categories of industrial processes. This represents the activity level data corresponding to the emission categories of transportation mobile sources.

[0077] Theoretical reference total carbon emissions for the park:

[0078] in, This represents the theoretical reference total carbon emissions of the park. This represents the industry's overall benchmark emission intensity.

[0079] Total verification difference:

[0080] in, This indicates the total verification difference. This indicates the total carbon emissions of the park.

[0081] Verify the allowable difference threshold:

[0082] in, This indicates the allowable difference threshold for verification. This represents the industry's emission fluctuation coefficient.

[0083] like If so, the park's total carbon emissions verification passes; If the total carbon emissions of the park fail the verification, then the park will be subject to penalties. The original data for each emission category were reviewed item by item.

[0084] After obtaining the total carbon emissions of the park, the method also includes: The processing equipment generates an annual carbon emission report for the park based on the total carbon emissions of the park and the corrected emission values ​​for each emission category. The carbon emission report includes the corrected emission values ​​for each emission category, the proportion of the corrected emission values ​​for each emission category to the total carbon emissions of the park, and the rate of change of the total carbon emissions of the park compared with the data of the same period of the previous year.

[0085] The data for the same period of the previous year refers to the total carbon emissions of the park calculated in the previous statistical year. The annual change rate is the ratio of the increase or decrease in the total carbon emissions of the park in the current year to the total emissions in the same period of the previous year.

[0086] After the processing equipment completes the cumulative calculation of the park's total carbon emissions, it retrieves the corrected emission values ​​for each of the four emission categories, the total carbon emissions of the park for the current year, and the total carbon emissions of the park for the previous year stored in the local database. The equipment then calculates the proportion of each emission category in the total emissions, and substitutes these values ​​with the total emissions for the current and previous years to calculate the annual change rate. Finally, the equipment integrates and formats the corrected emission values ​​for the four categories, their corresponding proportions, the total carbon emissions of the park, and the annual change rate to generate a complete annual carbon emissions report for the park. The generated annual carbon emissions report summarizes three types of statistical information: detailed emission categories, the contribution percentage of each emission category, and the annual increase or decrease in emissions. It clearly reflects the scale of greenhouse gas emissions from various categories in the park this year, the proportion of each emission category in the overall emissions, and the increase or decrease in emissions compared to previous years.

[0087] The method also includes: The processing equipment associates and stores the original data items, data source system identifiers, data acquisition time, and records of the correction operations performed for each emission category with the corresponding correction emission values.

[0088] The processing equipment extracts the corrected emission values ​​corresponding to each emission category and simultaneously retrieves all supporting information throughout the entire calculation process. This supporting information includes the complete set of original data items used to generate the initial value, the source system code corresponding to each piece of original data, the acquisition time of each piece of data captured and stored, and all operation logs executed during the automatic correction phase of that category. The processing equipment establishes a binding mapping relationship between the corrected emission values ​​of the same emission category and all the above-mentioned supporting information, and writes the complete set of bound data into the storage area for archiving. The bound data set generated through associated storage can fully trace the underlying original data, data acquisition channels, data capture time points, and numerical correction process of a single corrected emission value, completely preserving the entire process calculation basis for the emission values ​​of that category.

[0089] Based on the above description, this application has the following beneficial effects: This application incorporates multi-source carbon emission data, including renewable energy consumption data, industrial production process data, and transportation mobile source data, during the data collection phase. Compared to existing accounting methods that only retrieve limited data from platforms and reports, this approach can incorporate more dimensions of calculation materials, generating initial values ​​for four emission categories. This method compares and determines the emission level for each emission category against a corresponding reference emission range. If the initial value meets the range requirements, it is directly used as the corrected emission value without additional calculations. For the first target emission category that does not meet the range requirements, correction operations are continuously performed until the value conforms to the range standard. All emission categories undergo range verification before being summed to obtain the total carbon emissions of the park. Compared to existing accounting methods that do not set range verification and directly add the total value, all values ​​involved in the aggregation undergo range matching processing, reducing numerical deviations caused by simple multiplication from a single data source.

[0090] The above text combined Figures 1 to 2 The method for calculating carbon emissions in industrial parks based on multi-source data provided in this application embodiment has been described in detail. The apparatus and equipment provided in this application embodiment will be described below with reference to the accompanying drawings.

[0091] like Figure 3 As shown in the figure, this is a schematic diagram of a park carbon emission calculation device based on multi-source data provided in an embodiment of this application. The device includes: The acquisition module 301 is used to acquire multi-source carbon emission related data of the park, including energy activity data, renewable energy consumption data, industrial production process data and transportation mobile source data; The processing module 302 is configured to: calculate an initial value for fossil fuel combustion emissions based on the energy activity data; calculate an initial value for indirect emissions from electricity consumption based on the renewable energy consumption data and the purchased electricity data in the energy activity data; calculate an initial value for industrial process emissions based on the industrial production process data; calculate an initial value for transportation mobile source emissions based on the transportation mobile source data; determine whether the initial value of each emission category falls within the corresponding reference emission range; if the initial value of a first target emission category does not fall within the corresponding reference emission range, then correct the initial value of the first target emission category until the corrected emission value falls within the corresponding reference emission range; The determination module 303 is used to sum the corrected emission values ​​for each emission category to obtain the total carbon emissions of the park.

[0092] Optionally, the processing module 302 is specifically used to determine the reference emission range for each emission category based on the activity level data corresponding to each emission category and the emission intensity reference range of the industry to which the emission category belongs.

[0093] Optionally, the processing module 302 is specifically used to obtain the deviation rate based on the initial value of the first target emission category and the corresponding reference emission range; If the absolute value of the deviation rate is less than or equal to the first threshold, the corrected emission value is obtained based on the initial value of the first target emission category and the correction coefficient. If the absolute value of the deviation rate is greater than the first threshold and less than or equal to the second threshold, then the first operation is performed on each of the original data items used to calculate the initial value of the first target emission category, and the corrected emission value is obtained based on each of the original data items after the first operation is performed. If the absolute value of the deviation rate is greater than the second threshold, then the second operation is performed on each of the original data items used to calculate the initial value of the first target emission category, and the corrected emission value is obtained based on each of the original data items after the second operation is performed. The corrected emission values ​​are compared again with the corresponding reference emission range. If the corrected emission values ​​still do not fall within the reference emission range, the deviation rate is recalculated.

[0094] Optionally, the processing module 302 is further configured to mark the first target emission category as requiring manual review if the corrected emission value still does not fall into the corresponding reference emission range after the number of corrections to the initial value of the first target emission category reaches a preset number of corrections.

[0095] Optionally, the processing module 302 is further configured to generate an annual carbon emission report for the park based on the total carbon emissions of the park and the corrected emission values ​​for each emission category; wherein the carbon emission report includes the corrected emission values ​​for each emission category, the proportion of the corrected emission values ​​for each emission category to the total carbon emissions of the park, and the rate of change of the total carbon emissions of the park compared with the data of the same period of the previous year.

[0096] Optionally, the processing module 302 is also used to associate and store the original data items, data source system identifiers, data acquisition time, and records of the correction operations performed for each emission category with the corresponding correction emission values.

[0097] Optionally, the processing module 302 is further configured to use the initial value of the emission category as the corrected emission value if the initial value of the emission category falls within the corresponding reference emission range.

[0098] The multi-source data-based carbon emission calculation device for industrial parks according to the embodiments of this application can correspondingly execute the method described in the embodiments of this application, and the other operations and / or functions of each module / unit of the multi-source data-based carbon emission calculation device for industrial parks are respectively for implementing Figure 2 For the sake of brevity, the corresponding processes of each method in the illustrated embodiments will not be described in detail here.

[0099] This application also provides a computing device. For example... Figure 4 As shown in the figure, this is a schematic diagram of a computing device provided in an embodiment of this application. The computing device 400 includes a bus 401, a processor 402, a communication interface 403, and a memory 404. The processor 402, the memory 404, and the communication interface 403 communicate with each other via the bus 401.

[0100] Bus 401 can be a Peripheral Component Interconnect (PCI) bus or an Extended Industry Standard Architecture (EISA) bus, etc. Buses can be categorized as address buses, data buses, control buses, etc. For ease of representation, Figure 4 The bus is represented by a single thick line, but this does not mean that there is only one bus or one type of bus.

[0101] Processor 402 can be any one or more of the following processors: central processing unit (CPU), graphics processing unit (GPU), microprocessor (MP), or digital signal processor (DSP).

[0102] Communication interface 403 is used for communication with external devices.

[0103] Memory 404 may include volatile memory, such as random access memory (RAM). Memory 404 may also include non-volatile memory, such as read-only memory (ROM), flash memory, hard disk drive (HDD), or solid state drive (SSD).

[0104] The memory 404 stores executable code, and the processor 402 executes the executable code to perform the aforementioned method for calculating the carbon emissions of the industrial park based on multi-source data.

[0105] Specifically, in achieving Figure 3 In the case of the illustrated embodiment, and Figure 3 When the modules or units of the multi-source data-based carbon emission calculation device for industrial parks described in the embodiments are implemented in software, the execution... Figure 3 The software or program code required for the functions of each module / unit can be partially or entirely stored in memory 404. Processor 402 executes the program code corresponding to each unit stored in memory 404, and executes the aforementioned method for calculating park carbon emissions based on multi-source data.

[0106] This application also provides a computer-readable storage medium. The computer-readable storage medium can be any available medium that a computing device can store, or a data storage device such as a data center containing one or more available media. The available medium can be a magnetic medium (e.g., floppy disk, hard disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium (e.g., solid-state drive). The computer-readable storage medium includes instructions that instruct the computing device to execute the above-described method for calculating park carbon emissions based on multi-source data.

[0107] This application also provides a computer program product comprising one or more computer instructions. When the computer instructions are loaded and executed on a computing device, all or part of the processes or functions described in this application are generated.

[0108] The computer instructions may be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another. For example, the computer instructions may be transmitted from one website, computer, or data center to another website, computer, or data center via wired (e.g., coaxial cable, fiber optic, digital subscriber line) or wireless (e.g., infrared, wireless, microwave, etc.) means.

[0109] When the computer program product is executed by a computer, the computer executes any of the aforementioned methods for calculating park carbon emissions based on multi-source data. The computer program product can be a software installation package; when any of the aforementioned methods for calculating park carbon emissions based on multi-source data is required, the computer program product can be downloaded and executed on the computer.

[0110] The descriptions of the processes or structures corresponding to the above figures each have their own emphasis. For parts of a process or structure that are not described in detail, please refer to the relevant descriptions of other processes or structures.

[0111] Other embodiments of the invention will readily occur to those skilled in the art upon consideration of the specification and practice of the invention disclosed herein. This invention is intended to cover any variations, uses, or adaptations of the invention that follow the general principles of the invention and include common knowledge or customary techniques in the art not disclosed herein. It should be understood that the invention is not limited to the precise structures described above and shown in the accompanying drawings, and various modifications and changes can be made without departing from its scope. The scope of the invention is limited only by the appended claims.

Claims

1. A park carbon emission calculation method based on multi-source data, characterized in that, The method includes: Acquire multi-source carbon emission data related to the park, including energy activity data, renewable energy consumption data, industrial production process data, and transportation mobile source data; Based on the energy activity data, an initial value for fossil fuel combustion emissions is calculated; based on the renewable energy consumption data and the purchased electricity data in the energy activity data, an initial value for indirect emissions from electricity consumption is calculated; based on the industrial production process data, an initial value for industrial process emissions is calculated; based on the transportation mobile source data, an initial value for transportation mobile source emissions is calculated. Determine whether the initial values ​​for each emission category fall within the corresponding reference emission range; If the initial value of the first target emission category does not fall into the corresponding reference emission range, the initial value of the first target emission category is corrected until the corrected emission value falls into the corresponding reference emission range. The total carbon emissions of the park are obtained by summing the corrected emission values ​​for each emission category.

2. The method of claim 1, wherein, The reference emission range is obtained in the following way: Based on the activity level data corresponding to each emission category and the emission intensity reference range of the industry to which the emission category belongs, the reference emission range for each emission category is determined.

3. The method of claim 1, wherein, The correction of the initial value of the first target emission category includes: The deviation rate is obtained based on the initial value of the first target emission category and the corresponding reference emission range; If the absolute value of the deviation rate is less than or equal to the first threshold, the corrected emission value is obtained based on the initial value of the first target emission category and the correction coefficient. If the absolute value of the deviation rate is greater than the first threshold and less than or equal to the second threshold, then the first operation is performed on each of the original data items used to calculate the initial value of the first target emission category, and the corrected emission value is obtained based on each of the original data items after the first operation is performed. If the absolute value of the deviation rate is greater than the second threshold, then the second operation is performed on each of the original data items used to calculate the initial value of the first target emission category, and the corrected emission value is obtained based on each of the original data items after the second operation is performed. The corrected emission values ​​are compared again with the corresponding reference emission range. If the corrected emission values ​​still do not fall within the reference emission range, the deviation rate is recalculated.

4. The method of claim 3, wherein, The formula for calculating the deviation rate is:

5. Among them, Indicates the deviation rate. This represents the initial value for the first target emission category. This represents the midpoint of the reference emission range. , This indicates the lower limit of the reference emission range. This indicates the upper limit of the reference emission range.

6. The method of claim 3, wherein, The expression for calculating the first threshold is:

7. wherein, represents a first threshold value, represents an industry emission fluctuation coefficient, , represents a lower limit value of a reference emission amount interval, represents an upper limit value of a reference emission amount interval, represents a middle value of a reference emission amount interval; The expression for calculating the second threshold is:

8. wherein, represents a second threshold value.

9. The method of claim 1, wherein, The method further includes: If the number of corrections to the initial value of the first target emission category reaches the preset number of corrections, and the corrected emission value still does not fall into the corresponding reference emission range, then the first target emission category will be marked as requiring manual review.

10. The method of claim 1, wherein, The method further includes: If the initial value of the emission category falls within the corresponding reference emission range, then the initial value of the emission category will be used as the corrected emission value.

11. The method of claim 1, wherein, After obtaining the total carbon emissions of the park, the method further includes: An annual carbon emission report for the park is generated based on the total carbon emissions of the park and the corrected emission values ​​for each emission category. The carbon emission report includes the corrected emission values ​​for each emission category, the proportion of the corrected emission values ​​for each emission category to the total carbon emissions of the park, and the rate of change of the total carbon emissions of the park compared with the data of the same period of the previous year.

12. The method of claim 1, wherein, The method further includes: The original data items, data source system identifiers, data acquisition time, and records of the correction operations performed for each emission category are associated and stored with the corresponding correction emission values.

13. A park carbon emission calculation device based on multi-source data, characterized in that, The device includes: The acquisition module is used to acquire multi-source carbon emission related data of the park, including energy activity data, renewable energy consumption data, industrial production process data and transportation mobile source data; The processing module is configured to: calculate initial values ​​for fossil fuel combustion emissions based on the energy activity data; calculate initial values ​​for indirect emissions from electricity consumption based on the renewable energy consumption data and the purchased electricity data in the energy activity data; calculate initial values ​​for industrial process emissions based on the industrial production process data; calculate initial values ​​for transportation mobile source emissions based on the transportation mobile source data; determine whether the initial values ​​of each emission category fall within the corresponding reference emission range; if the initial value of a first target emission category does not fall within the corresponding reference emission range, then correct the initial value of the first target emission category until the corrected emission value falls within the corresponding reference emission range; The determination module is used to sum the corrected emission values ​​for each emission category to obtain the total carbon emissions of the park.

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