Industrial park carbon emission monitoring calculation and emission reduction method and system

Abstract

The invention relates to an industrial park carbon emission monitoring calculation and emission reduction method and system, and the method comprises the steps: recognizing all carbon emission devices in an industrial park, and obtaining the basic production parameters of each carbon emission device; generating basic carbon emission data of each carbon emission device according to a preset carbon emission calculation model and the basic production parameters of each carbon emission device; identifying the carbon emission equipment in a starting state in the industrial park, and performing aging detection on the carbon emission equipment in the starting state; if the carbon emission equipment in the starting state is aged, performing carbon emission data correction on the aged carbon emission equipment to obtain actual carbon emission data of each carbon emission equipment; and calculating the carbon emission of the industrial park according to the carbon emission calculation model and the actual carbon emission data of each carbon emission device. The method has the effect of improving the data accuracy of carbon emission measurement and calculation in the industrial park.

Description

Technical Field

[0001] This application relates to the technical field of industrial environmental protection, and in particular to a method and system for monitoring, calculating and reducing carbon emissions in industrial parks. Background Technology

[0002] With increasing global attention to climate change and environmental protection, carbon emission measurement of industrial parks has become one of the important indicators for assessing and monitoring their environmental impact.

[0003] The existing method for measuring carbon emissions in industrial parks is to collect data on various production activities of factories within the park, such as energy consumption, fuel usage, and production volume, and then calculate the emissions based on emission factors. This method is simple and direct and is suitable for estimating the overall carbon emissions of the industrial park.

[0004] The aforementioned technologies have the following drawbacks: When collecting carbon emission data for industrial parks, records are generally based on the basic parameters of production equipment. However, as equipment ages and is replaced, the actual carbon emissions differ from the recorded data, reducing the accuracy of carbon emission calculations for industrial parks. Therefore, improvements are needed. Summary of the Invention

[0005] To improve the accuracy of carbon emission measurement data in industrial parks, this application provides a method and system for monitoring, measuring, and reducing carbon emissions in industrial parks.

[0006] Firstly, the aforementioned inventive objective of this application is achieved through the following technical solution: A method for monitoring, calculating, and reducing carbon emissions in industrial parks, including the following steps: Identify all carbon-emitting devices in the industrial park and obtain the basic production parameters for each of the carbon-emitting devices; Based on the pre-set carbon emission calculation model and the basic production parameters of each carbon emission device, generate basic carbon emission data for each carbon emission device; Identify carbon-emitting equipment that is in operation in the industrial park and conduct aging tests on the carbon-emitting equipment in operation. If the carbon emission equipment in the start-up state is aging, then the carbon emission data of the aging carbon emission equipment is corrected to obtain the actual carbon emission data of each carbon emission equipment. The carbon emissions of the industrial park are calculated based on the carbon emission calculation model and the actual carbon emission data of each of the carbon emission devices.

[0007] By adopting the above technical solutions, basic data for each carbon-emitting device is obtained, providing accurate input for subsequent carbon emission calculations. Understanding the energy consumption and fuel usage of each device allows for a better understanding of carbon emission sources, enabling targeted emission reduction measures. A pre-set carbon emission calculation model is used to generate basic carbon emission data, which provides a foundation for further carbon emission analysis and management. This helps understand the overall carbon emission situation of the industrial park, identify devices in the startup phase, and conduct aging tests to more accurately assess the industrial park's carbon emissions. Corresponding measures are then taken to reduce emissions during startup. If some devices have aged, causing their carbon emissions to exceed the expected basic carbon emissions, the carbon emission data for these aged devices needs to be corrected, and the basic carbon emission data reset. This allows for a more accurate estimation of the actual carbon emissions of the aging devices. By correcting the data, the carbon emission situation of the industrial park can be understood more precisely, and necessary measures can be taken to improve and upgrade aging equipment to reduce carbon emissions compared to existing equipment.

[0008] In a preferred embodiment, this application can be further configured such that: the basic production parameters include basic energy consumption parameters, basic fuel consumption, and basic production output; and the step of identifying carbon emission equipment in the industrial park that is in operation and performing aging tests on the carbon emission equipment in the operation state includes the following steps: Identify carbon-emitting equipment that is in operation in the industrial park and obtain the actual production parameters of the carbon-emitting equipment in operation. The difference in production parameters of the carbon emission equipment in the start-up state is calculated based on the pre-set aging calculation model, the basic production parameters, and the actual production parameters. If the difference in the corresponding production parameters exceeds the preset deviation threshold, then the corresponding carbon emission equipment in the start-up state is aging.

[0009] By adopting the above technical solutions, understanding the actual operating status of the equipment, including key indicators such as output and energy consumption, helps to evaluate the equipment's performance and efficiency, and provides data support for subsequent analysis and improvement. By calculating the difference in production parameters, managers can understand the changes in equipment performance, which helps to identify equipment aging problems or performance degradation, and provides quantitative data for evaluating the equipment's status and efficiency. By setting deviation thresholds, managers can quickly determine whether there are aging problems in the equipment, so that timely maintenance, replacement or optimization measures can be taken to reduce equipment energy consumption and carbon emissions, and improve production efficiency and resource utilization. When equipment aging problems are found, the carbon emission data of the equipment can be corrected to improve the accuracy of carbon emission data estimation.

[0010] In a preferred embodiment, this application can be further configured as follows: the step of correcting the carbon emission data of the aged carbon emission devices if the carbon emission devices in the start-up state are aging, to obtain the actual carbon emission data of each of the carbon emission devices, includes the following steps: A deviation correlation index for carbon emission equipment is generated based on the differences in production parameters of aging carbon emission equipment. The deviation correlation index includes an energy consumption deviation correlation index, a fuel consumption deviation correlation index, and a production volume deviation correlation index. Compensated carbon emission data are calculated based on the pre-set deviation correction model and the deviation correlation index. The actual carbon emission data of aging carbon emission equipment is calculated based on the deviation correction model, the compensated carbon emission data, and the basic carbon emission data, and the actual carbon emission data of each of the carbon emission equipment is obtained.

[0011] By adopting the above technical solution, the deviation correlation index of energy consumption, fuel consumption and production volume can be calculated based on the difference between actual production parameters and basic production parameters. The deviation correlation index can reflect the degree of influence of different production parameters on carbon emissions, thus providing guidance for subsequent deviation correction. If the energy consumption deviation correlation index is high, it means that the change in energy consumption has a greater impact on carbon emissions, which needs to be paid attention to and adjusted. The deviation correction model adjusts the carbon emission data corresponding to energy consumption based on the energy consumption deviation correlation index to obtain more accurate actual carbon emission data and improve the accuracy of carbon emission measurement in industrial parks.

[0012] In a preferred embodiment, this application can be further configured to include the following steps in the step of generating basic carbon emission data for each carbon emission device based on a pre-set carbon emission calculation model and the basic production parameters of each carbon emission device: The corresponding emission factor is obtained based on the basic production parameters of each of the carbon emission devices; The basic carbon emission data for each carbon emission device is calculated based on the pre-set carbon emission calculation model, the basic production parameters of each carbon emission device, and the corresponding emission factors.

[0013] By adopting the above technical solution and selecting and setting emission factors, basic production parameters are transformed into specific carbon emission data, providing a data foundation for subsequent carbon emission calculations in industrial parks.

[0014] In a preferred embodiment, this application may be further configured to include the following steps in the step of calculating the carbon emissions of the industrial park based on the carbon emission calculation model and the actual carbon emission data of each of the carbon emission devices: Obtain carbon absorption data from industrial parks; The carbon emissions of the industrial park are calculated based on the carbon emission calculation model, the actual carbon emission data of each of the carbon emission devices, and the carbon absorption data.

[0015] By adopting the above technical solution, compared with the existing method of calculating carbon emissions of industrial parks only from the emission dimension, this solution adds a purification dimension and adds variable factors to the carbon emission calculation, making the calculation of carbon emissions of industrial parks more accurate and thus improving the accuracy of carbon emission calculation of industrial parks.

[0016] In a preferred embodiment, this application can be further configured to include the following steps in the process of acquiring carbon absorption data for an industrial park: Identify carbon purification equipment in industrial parks and obtain equipment carbon purification data of carbon purification equipment that is in operation; Acquire environmental image data of the industrial park, and extract vegetation feature data from the environmental image data; The vegetation carbon purification efficiency is calculated based on the pre-set vegetation purification calculation model and the vegetation characteristic data to obtain vegetation carbon purification data. Carbon absorption data of the industrial park is calculated based on the carbon purification data of the equipment and the carbon purification data of the vegetation.

[0017] By adopting the above technical solution, based on the pre-set vegetation purification calculation model, vegetation characteristic data is used to calculate the vegetation carbon purification efficiency. The vegetation carbon purification efficiency represents the amount of carbon emissions that vegetation can absorb and reduce per unit area. By calculating the vegetation carbon purification efficiency, the vegetation carbon purification data is obtained and used to calculate the carbon absorption of the industrial park. When calculating the carbon emissions of the industrial park, carbon purification and carbon emissions are considered comprehensively, thereby improving the accuracy of carbon emission measurement of the industrial park.

[0018] Secondly, the above-mentioned inventive objective of this application is achieved through the following technical solutions: A carbon emission monitoring, calculation, and reduction system for industrial parks, comprising: The basic production parameter acquisition module is used to identify all carbon-emitting equipment in the industrial park and acquire the basic production parameters of each carbon-emitting equipment. The basic carbon emission data generation module is used to generate basic carbon emission data for each of the carbon emission devices based on a pre-set carbon emission calculation model and the basic production parameters of each of the carbon emission devices. An aging detection module is used to identify the carbon emission equipment in the start-up state and to perform aging detection on the carbon emission equipment in the start-up state. The carbon emission data correction module is used to correct the carbon emission data of the carbon emission equipment that is aging when it is in the start-up state, so as to obtain the actual carbon emission data of each carbon emission equipment. The carbon emission calculation module is used to calculate the carbon emissions of the industrial park based on the carbon emission calculation model and the actual carbon emission data of each of the carbon emission devices.

[0019] By adopting the above technical solutions, basic data for each carbon-emitting device is obtained, providing accurate input for subsequent carbon emission calculations. Understanding the energy consumption and fuel usage of each device allows for a better understanding of carbon emission sources, enabling targeted emission reduction measures. A pre-set carbon emission calculation model is used to generate basic carbon emission data, which provides a foundation for further carbon emission analysis and management. This helps understand the overall carbon emission situation of the industrial park, identify devices in the startup phase, and conduct aging tests to more accurately assess the industrial park's carbon emissions. Corresponding measures are then taken to reduce emissions during startup. If some devices have aged, causing their carbon emissions to exceed the expected basic carbon emissions, the carbon emission data for these aged devices needs to be corrected, and the basic carbon emission data reset. This allows for a more accurate estimation of the actual carbon emissions of the aging devices. By correcting the data, the carbon emission situation of the industrial park can be understood more precisely, and necessary measures can be taken to improve and upgrade aging equipment to reduce carbon emissions compared to existing equipment.

[0020] Optionally, the carbon emission calculation module includes: The carbon absorption data acquisition submodule is used to acquire carbon absorption data from industrial parks. The carbon emission calculation submodule is used to calculate the carbon emissions of the industrial park based on the carbon emission calculation model, the actual carbon emission data of each of the carbon emission devices, and the carbon absorption data. The carbon absorption data acquisition submodule includes: The equipment carbon purification data calculation unit is used to identify the carbon purification equipment in the industrial park and obtain the equipment carbon purification data of the carbon purification equipment that is being started. A vegetation feature data extraction unit is used to acquire environmental image data of the industrial park and extract vegetation feature data from the environmental image data. The vegetation carbon purification data calculation unit is used to calculate the vegetation carbon purification efficiency of the vegetation characteristic data according to the preset vegetation purification calculation model, so as to obtain vegetation carbon purification data. A carbon absorption data calculation unit is used to calculate the carbon absorption data of the industrial park based on the carbon purification data of the equipment and the carbon purification data of the vegetation.

[0021] By adopting the above technical solution, based on a pre-set vegetation purification calculation model, vegetation characteristic data is used to calculate the vegetation carbon purification efficiency. The vegetation carbon purification efficiency represents the amount of carbon emissions that vegetation can absorb and reduce per unit area. By calculating the vegetation carbon purification efficiency, the vegetation carbon purification data is obtained and used to calculate the carbon absorption of the industrial park. When calculating the carbon emissions of the industrial park, both carbon purification and carbon emissions are considered. Compared with the existing method of calculating the carbon emissions of the industrial park from the emission dimension alone, this solution adds a purification dimension and adds variable factors to the carbon emission calculation, making the calculation of carbon emissions of the industrial park more accurate and thus improving the accuracy of the carbon emission calculation of the industrial park.

[0022] In summary, this application includes at least one of the following beneficial technical effects: 1. Obtain basic data for each carbon-emitting device to provide accurate input for subsequent carbon emission calculations. Understand the energy consumption and fuel usage of each device to better understand the sources of carbon emissions and take targeted emission reduction measures. Use a pre-set carbon emission calculation model to generate basic carbon emission data. Basic carbon emission data provides a foundation for further carbon emission analysis and management, helps to understand the overall carbon emission situation of the industrial park, identifies devices in the startup state, and performs aging tests on them to more accurately assess the carbon emissions of the industrial park and take corresponding measures to reduce emissions during the startup process. If some devices have aged, causing their carbon emissions to exceed the expected basic carbon emissions, it is necessary to correct the carbon emission data of these aging devices and reset the basic carbon emission data to more accurately estimate the actual carbon emissions of aging devices. By correcting the data, we can more accurately understand the carbon emission situation of the industrial park and take necessary measures to improve and update aging devices to reduce carbon emissions compared to existing ones. 2. Understanding the actual operating status of equipment, including key indicators such as output and energy consumption, helps to evaluate equipment performance and efficiency, and provides data support for subsequent analysis and improvement. By calculating the difference in production parameters, managers can understand the changes in equipment performance, which helps to identify equipment aging problems or performance degradation, and provides quantitative data for evaluating equipment status and efficiency. By setting deviation thresholds, managers can quickly determine whether there are aging problems in the equipment, so that timely maintenance, replacement or optimization measures can be taken to reduce equipment energy consumption and carbon emissions, and improve production efficiency and resource utilization. When equipment aging problems are found, the carbon emission data of the equipment can be corrected to improve the accuracy of carbon emission data estimation. 3. Based on the differences between actual production parameters and basic production parameters, the deviation correlation index of energy consumption, fuel consumption and production volume can be calculated. The deviation correlation index can reflect the degree of influence of different production parameters on carbon emissions, thus providing guidance for subsequent deviation correction. If the energy consumption deviation correlation index is high, it means that the change in energy consumption has a greater impact on carbon emissions, which needs to be paid attention to and adjusted. The deviation correction model adjusts the carbon emission data corresponding to energy consumption based on the energy consumption deviation correlation index to obtain more accurate actual carbon emission data and improve the accuracy of carbon emission measurement in industrial parks. 4. Based on a pre-defined vegetation purification calculation model, vegetation characteristic data is used to calculate the vegetation carbon purification efficiency. Vegetation carbon purification efficiency represents the amount of carbon emissions that vegetation can absorb and reduce per unit area. By calculating the vegetation carbon purification efficiency, vegetation carbon purification data is obtained and used to calculate the carbon absorption of the industrial park. When calculating the carbon emissions of the industrial park, both carbon purification and carbon emissions are considered. Compared with the existing method of calculating the carbon emissions of the industrial park from the emission dimension alone, this solution adds a purification dimension and adds variable factors to the carbon emission calculation, making the calculation of carbon emissions of the industrial park more accurate and thus improving the accuracy of the carbon emission calculation of the industrial park. Attached Figure Description

[0023] Figure 1 This is a flowchart illustrating the steps of a method for monitoring, calculating, and reducing carbon emissions in an industrial park, as described in this application. Figure 2 This is a flowchart illustrating step S20 of the carbon emission monitoring, calculation, and reduction method for industrial parks in this application. Figure 3 This is a flowchart illustrating step S30 of the carbon emission monitoring, calculation, and reduction method for industrial parks in this application. Figure 4 This is a flowchart illustrating step S40 of the carbon emission monitoring, calculation, and reduction method for industrial parks in this application. Figure 5 This is a flowchart illustrating step S51 of the carbon emission monitoring, calculation, and reduction method for industrial parks in this application; Figure 6 This is a schematic diagram of a module of an industrial park carbon emission monitoring, calculation and reduction system according to this application; Explanation of reference numerals in the attached figures: 1. Basic production parameter acquisition module; 2. Basic carbon emission data generation module; 3. Aging detection module; 4. Carbon emission data correction module; 5. Carbon emission calculation module; 6. Carbon emission report generation module. Detailed Implementation

[0024] The present application will be further described in detail below with reference to the accompanying drawings.

[0025] In one embodiment, a steel plant in an industrial park is used as an example, such as... Figure 1-5 As shown, this application discloses a method for monitoring, calculating, and reducing carbon emissions in industrial parks, which specifically includes the following steps: S10: Identify all carbon-emitting equipment in the industrial park and obtain the basic production parameters for each carbon-emitting device. Among them, basic production parameters include basic energy consumption parameters, basic fuel consumption, and basic production volume; Specifically, suppose there is a steel plant in an industrial park, which is one of the main carbon-emitting facilities. By identifying and investigating, we determine the steel plant's basic production parameters, including basic energy consumption parameters (e.g., electricity and fuel consumption), basic fuel usage (e.g., coal and natural gas), and basic production volume (e.g., steel output). This provides basic data for each carbon-emitting facility, offering accurate input for subsequent carbon emission calculations. Understanding the energy consumption and fuel usage of each facility allows us to better understand the sources of carbon emissions and take targeted emission reduction measures.

[0026] S20: Generate basic carbon emission data for each of the carbon emission devices based on the pre-set carbon emission calculation model and the basic production parameters of each of the carbon emission devices; Specifically, based on the steel plant's basic production parameters (basic energy consumption parameters, basic fuel consumption, and basic production volume), a pre-set carbon emission calculation model is used to generate basic carbon emission data. This carbon emission calculation model needs to consider energy consumption and fuel consumption, and calculate the corresponding carbon emissions according to industry standard emission factors. In this embodiment, the calculation of basic carbon emission data includes calculating basic energy consumption carbon emissions based on basic energy consumption parameters (electricity consumption and fuel consumption), calculating corresponding basic fuel carbon emissions based on basic fuel consumption (coal and natural gas), and combining basic energy consumption carbon emissions and basic fuel carbon emissions to calculate basic carbon emission data.

[0027] Basic carbon emission data provides a foundation for further carbon emission analysis and management, helping to understand the overall carbon emission situation of the industrial park.

[0028] S30: Identify carbon emission equipment in the industrial park that is in operation and conduct aging tests on the carbon emission equipment in operation. Specifically, some equipment in production generates additional carbon emissions during startup, such as the fuel combustion process. In step S30, we need to identify these startup devices and perform aging tests on them. By considering the additional emissions during startup, we can gain a more comprehensive understanding of the sources of carbon emissions and take appropriate measures to reduce them.

[0029] S40: If the carbon emission equipment in the start-up state is aging, then the carbon emission data of the aging carbon emission equipment is corrected to obtain the actual carbon emission data of each carbon emission equipment. Specifically, if some equipment has aged, causing its carbon emissions to exceed the expected baseline carbon emissions, it is necessary to correct the carbon emission data of these aging devices and reset the baseline carbon emission data to more accurately estimate the actual carbon emissions of the aging devices. By correcting the data, we can more accurately understand the carbon emission situation of the industrial park and take necessary measures to improve and update the aging equipment in order to reduce carbon emissions.

[0030] S50: Calculate the carbon emissions of the industrial park based on the carbon emission calculation model and the actual carbon emission data of each of the carbon emission devices; Specifically, based on the actual carbon emission data of the equipment in the steel plant, the total carbon emission of the industrial park is calculated using a carbon emission calculation model. Taking into account the actual carbon emission data of all equipment, the overall carbon emission is calculated based on the corresponding emission factors.

[0031] S60: Generate carbon emission reports for industrial parks based on their carbon emissions.

[0032] In step S20: generating basic carbon emission data for each carbon emission device based on a pre-set carbon emission calculation model and the basic production parameters of each carbon emission device, the steps include: S21: Obtain the corresponding emission factor based on the basic production parameters of each of the carbon emission devices; Emission factors are key parameters used to convert basic production parameters into carbon emissions. They are determined according to industry-specific standards and guidelines, reflecting the carbon emission levels of different energy consumption and fuel use. Methods for obtaining emission factors can include referencing industry standards, government-published data, scientific research, and literature. Emission factors are typically expressed as carbon emissions per unit of energy consumption or per unit of fuel use.

[0033] S22: Calculate the basic carbon emission data of each carbon emission device based on the pre-set carbon emission calculation model, the basic production parameters of each carbon emission device and the corresponding emission factor; By selecting and setting emission factors, basic production parameters are transformed into specific carbon emission data. The selection and accuracy of emission factors are crucial to the accuracy of the calculation results. When obtaining emission factors, the latest data and reliable sources should be used as much as possible to ensure the accuracy and comparability of the calculation results.

[0034] The step S30: Identifying carbon-emitting equipment in the industrial park that is in operation and conducting aging tests on the carbon-emitting equipment in operation includes the following steps: S31: Identify carbon emission equipment in the industrial park that is in the start-up state and obtain the actual production parameters of the carbon emission equipment in the start-up state; Specifically, actual production parameters include daily steel output, fuel consumption, furnace temperature, etc. By monitoring these parameters, we can obtain actual performance data of the equipment under its current operating conditions. Understanding these actual production parameters, including key indicators such as output and energy consumption, helps in evaluating equipment performance and efficiency, and provides data support for subsequent analysis and improvement.

[0035] S32: Calculate the difference in production parameters of the carbon emission equipment in the start-up state based on the preset aging calculation model, the basic production parameters, and the actual production parameters; Specifically, basic production parameters can be preset values ​​for a steel plant under normal conditions, such as preset output and fuel consumption rate. By comparing actual production parameters with basic production parameters, the difference in production parameters is calculated. By calculating the difference in production parameters, managers can understand the performance changes of equipment, which helps to identify equipment aging problems or performance degradation, and provides quantitative data for assessing the status and efficiency of the equipment.

[0036] S33: If the corresponding production parameter difference value exceeds the preset deviation threshold, the corresponding carbon emission equipment in the start-up state is aging. In this embodiment, the preset deviation threshold is 10%. If the difference in production parameters exceeds 10%, it can be determined that the equipment has an aging problem. By setting a deviation threshold, managers can quickly determine whether the equipment has an aging problem. This allows for timely maintenance, replacement, or optimization measures to reduce equipment energy consumption and carbon emissions, and improve production efficiency and resource utilization.

[0037] In step S40: If the carbon emission equipment in the start-up state is aging, then the carbon emission data of the aging carbon emission equipment is corrected to obtain the actual carbon emission data of each carbon emission equipment, the following steps are included: S41: Generate a deviation correlation index for carbon emission equipment based on the differences in production parameters of aging carbon emission equipment. The deviation correlation index includes an energy consumption deviation correlation index, a fuel consumption deviation correlation index, and a production volume deviation correlation index. Specifically, based on the differences between actual production parameters and baseline production parameters, a deviation correlation index can be calculated for energy consumption, fuel usage, and production volume. This index reflects the degree of impact of different production parameters on carbon emissions, thus providing guidance for subsequent deviation correction. A high energy consumption deviation correlation index indicates that changes in energy consumption have a significant impact on carbon emissions, requiring attention and adjustment.

[0038] S42: Calculate the compensated carbon emission data based on the preset deviation correction model and the deviation correlation index; Specifically, based on the deviation correlation index and a pre-set deviation correction model, compensated carbon emission data is calculated. The deviation correction model formulates corresponding compensation rules based on different deviation correlation indices to eliminate the impact of differences in production parameters on carbon emission data. For example, if the energy consumption deviation correlation index is high, the deviation correction model can adjust the carbon emission data corresponding to energy consumption based on this index to obtain more accurate actual carbon emission data and improve the accuracy of carbon emission measurement in industrial parks.

[0039] S43: Calculate the actual carbon emission data of aging carbon emission equipment based on the deviation correction model, the compensated carbon emission data and the basic carbon emission data, and obtain the actual carbon emission data of each of the carbon emission equipment. The actual carbon emission data of the equipment is calculated based on the compensated carbon emission data and the basic carbon emission data. By comparing the compensated data with the basic data, the carbon emission situation of the equipment in actual operation can be obtained, which helps to accurately assess the carbon emission level of the equipment and provide comparable data for performance analysis, monitoring and the formulation of carbon reduction strategies.

[0040] In S50: Based on the actual carbon emission data of carbon emission equipment, the carbon emission calculation model calculates the carbon emissions of the industrial park based on the actual carbon emission data of the carbon emission equipment. This includes the following steps: S51: Obtain carbon absorption data for industrial parks; S52: Calculate the carbon emissions of the industrial park based on the carbon emission calculation model, the actual carbon emission data of each of the carbon emission devices, and the carbon absorption data; The step S51: Obtaining carbon absorption data for industrial parks includes the following steps: S511: Identify carbon purification equipment in industrial parks and obtain equipment carbon purification data of carbon purification equipment that is in operation. Specifically, it's necessary to identify carbon purification equipment within the industrial park. This equipment is used to absorb and reduce carbon emissions, and to acquire carbon purification data from these devices during operation. This data reflects the effectiveness of the equipment in purifying carbon emissions. By obtaining this data, we can understand the carbon purification capacity and efficiency of the equipment.

[0041] S512: Acquire environmental image data of the industrial park and extract vegetation feature data from the environmental image data; Specifically, environmental imagery data of industrial parks is acquired using drones, satellite imagery, or other image acquisition technologies. This data provides information about the distribution and coverage of vegetation within the industrial park, which is crucial for calculating the carbon absorption capacity of vegetation.

[0042] The feature data includes vegetation type, density, coverage, leaf area index, etc. The purpose of extracting vegetation feature data is to quantify the existence and characteristics of vegetation in order to calculate the vegetation carbon purification efficiency in the future.

[0043] S513: Calculate the vegetation carbon purification efficiency based on the preset vegetation purification calculation model and the vegetation characteristic data to obtain vegetation carbon purification data. Specifically, based on a pre-defined vegetation purification calculation model, vegetation characteristic data is used to calculate the vegetation carbon purification efficiency. Vegetation carbon purification efficiency represents the amount of carbon emissions that vegetation can absorb and reduce per unit area. By calculating the vegetation carbon purification efficiency, vegetation carbon purification data is obtained and used to calculate the carbon absorption of the industrial park. When calculating the carbon emissions of the industrial park, both carbon purification and carbon emissions are considered. Compared with the existing method of calculating the carbon emissions of the industrial park from the emission dimension alone, this solution adds a purification dimension and adds variable factors to the carbon emission calculation, making the calculation of carbon emissions of the industrial park more accurate and thus improving the accuracy of the carbon emission calculation of the industrial park.

[0044] S514: Calculate the carbon absorption data of the industrial park based on the carbon purification data of the equipment and the carbon purification data of the vegetation.

[0045] It should be understood that the sequence number of each step in the above embodiments does not imply the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of this application.

[0046] In one embodiment, a carbon emission monitoring, calculation, and reduction system for industrial parks is provided. This system corresponds one-to-one with the carbon emission monitoring, calculation, and reduction method for industrial parks described in the above embodiments. Figure 6 As shown, this industrial park carbon emission monitoring, calculation, and reduction device includes: The basic production parameter acquisition module 1 is used to identify all carbon-emitting equipment in the industrial park and acquire the basic production parameters of each carbon-emitting equipment. The basic carbon emission data generation module 2 is used to generate basic carbon emission data for each of the carbon emission devices based on a pre-set carbon emission calculation model and the basic production parameters of each of the carbon emission devices. The aging detection module 3 is used to identify carbon emission equipment in the industrial park that is in the start-up state and to perform aging detection on the carbon emission equipment in the start-up state. Carbon emission data correction module 4 is used to correct the carbon emission data of the carbon emission equipment that is aging when it is in the start-up state, so as to obtain the actual carbon emission data of each carbon emission equipment. Carbon emission calculation module 5 is used to calculate the carbon emissions of the industrial park based on the carbon emission calculation model and the actual carbon emission data of each carbon emission device. The carbon emission report generation module is used to generate carbon emission reports for industrial parks based on their carbon emissions. The carbon emission calculation module 5 includes: The carbon absorption data acquisition submodule is used to acquire carbon absorption data from industrial parks. The carbon emission calculation submodule is used to calculate the carbon emissions of the industrial park based on the carbon emission calculation model, the actual carbon emission data of each of the carbon emission devices, and the carbon absorption data. The carbon absorption data acquisition submodule includes: The equipment carbon purification data calculation unit is used to identify the carbon purification equipment in the industrial park and obtain the equipment carbon purification data of the carbon purification equipment that is being started. A vegetation feature data extraction unit is used to acquire environmental image data of the industrial park and extract vegetation feature data from the environmental image data. The vegetation carbon purification data calculation unit is used to calculate the vegetation carbon purification efficiency of the vegetation characteristic data according to the preset vegetation purification calculation model, so as to obtain vegetation carbon purification data. A carbon absorption data calculation unit is used to calculate the carbon absorption data of the industrial park based on the carbon purification data of the equipment and the carbon purification data of the vegetation.

[0047] Specific limitations regarding the carbon emission monitoring, calculation, and reduction system for industrial parks can be found in the limitations of the carbon emission monitoring, calculation, and reduction method for industrial parks described above, and will not be repeated here. Each module in the aforementioned carbon emission monitoring, calculation, and reduction system for industrial parks can be implemented entirely or partially through software, hardware, or a combination thereof. These modules can be embedded in or independent of the processor in an electronic device, or stored in the memory of an electronic device as software, so that the processor can call and execute the corresponding operations of each module.

[0048] The above-described embodiments are only used to illustrate the technical solutions of this application, and are not intended to limit them. Although this application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of this application, and should all be included within the protection scope of this application.

Claims

1. A method for monitoring, calculating, and reducing carbon emissions in industrial parks, characterized in that: The steps include: identifying all carbon-emitting equipment in the industrial park and obtaining the basic production parameters of each carbon-emitting device; Based on the pre-set carbon emission calculation model and the basic production parameters of each carbon emission device, generate basic carbon emission data for each carbon emission device; Identify carbon-emitting equipment that is in operation in the industrial park and conduct aging tests on the carbon-emitting equipment in operation. If the carbon emission equipment in the start-up state is aging, then the carbon emission data of the aging carbon emission equipment is corrected to obtain the actual carbon emission data of each carbon emission equipment. The carbon emissions of the industrial park are calculated based on the carbon emission calculation model and the actual carbon emission data of each of the carbon emission devices.

2. The method for monitoring, calculating, and reducing carbon emissions in industrial parks according to claim 1, characterized in that: The basic production parameters include basic energy consumption parameters, basic fuel consumption, and basic production output. The step of identifying carbon-emitting equipment in the industrial park that is in operation and conducting aging tests on this equipment includes the following steps: Identify carbon-emitting equipment that is in operation in the industrial park and obtain the actual production parameters of the carbon-emitting equipment in operation. The difference in production parameters of the carbon emission equipment in the start-up state is calculated based on the pre-set aging calculation model, the basic production parameters, and the actual production parameters. If the difference in the corresponding production parameters exceeds the preset deviation threshold, then the corresponding carbon emission equipment in the start-up state is aging.

3. The method for monitoring, calculating, and reducing carbon emissions in industrial parks according to claim 2, characterized in that: The step of correcting the carbon emission data of the carbon emission equipment if it is aging while in operation, to obtain the actual carbon emission data of each carbon emission equipment, includes the following steps: A deviation correlation index for carbon emission equipment is generated based on the differences in production parameters of aging carbon emission equipment. The deviation correlation index includes an energy consumption deviation correlation index, a fuel consumption deviation correlation index, and a production volume deviation correlation index. Compensated carbon emission data are calculated based on the pre-set deviation correction model and the deviation correlation index. The actual carbon emission data of aging carbon emission equipment is calculated based on the deviation correction model, the compensated carbon emission data, and the basic carbon emission data, and the actual carbon emission data of each of the carbon emission equipment is obtained.

4. The method for monitoring, calculating, and reducing carbon emissions in industrial parks according to claim 1, characterized in that: The step of generating basic carbon emission data for each carbon emission device based on a pre-set carbon emission calculation model and the basic production parameters of each carbon emission device includes the following steps: The corresponding emission factor is obtained based on the basic production parameters of each of the carbon emission devices; The basic carbon emission data for each carbon emission device is calculated based on the pre-set carbon emission calculation model, the basic production parameters of each carbon emission device, and the corresponding emission factors.

5. The method for monitoring, calculating, and reducing carbon emissions in industrial parks according to claim 1, characterized in that: The step of calculating the carbon emissions of the industrial park based on the carbon emission calculation model and the actual carbon emission data of each carbon emission device includes the following steps: Obtain carbon absorption data from industrial parks; The carbon emissions of the industrial park are calculated based on the carbon emission calculation model, the actual carbon emission data of each of the carbon emission devices, and the carbon absorption data.

6. The method for monitoring, calculating, and reducing carbon emissions in industrial parks according to claim 5, characterized in that: The process of obtaining carbon absorption data for industrial parks includes the following steps: Identify carbon purification equipment in industrial parks and obtain equipment carbon purification data of carbon purification equipment that is in operation; Acquire environmental image data of the industrial park, and extract vegetation feature data from the environmental image data; The vegetation carbon purification efficiency is calculated based on the pre-set vegetation purification calculation model and the vegetation characteristic data to obtain vegetation carbon purification data. Carbon absorption data of the industrial park is calculated based on the carbon purification data of the equipment and the carbon purification data of the vegetation.

7. A carbon emission monitoring, calculation, and reduction system for industrial parks, characterized in that: include: The basic production parameter acquisition module is used to identify all carbon-emitting equipment in the industrial park and acquire the basic production parameters of each carbon-emitting equipment. The basic carbon emission data generation module is used to generate basic carbon emission data for each of the carbon emission devices based on a pre-set carbon emission calculation model and the basic production parameters of each of the carbon emission devices. An aging detection module is used to identify the carbon emission equipment in the start-up state and to perform aging detection on the carbon emission equipment in the start-up state. The carbon emission data correction module is used to correct the carbon emission data of the carbon emission equipment that is aging when it is in the start-up state, so as to obtain the actual carbon emission data of each carbon emission equipment. The carbon emission calculation module is used to calculate the carbon emissions of the industrial park based on the carbon emission calculation model and the actual carbon emission data of each of the carbon emission devices.

8. The industrial park carbon emission monitoring, calculation, and reduction system according to claim 7, characterized in that: The carbon emission calculation module includes: The carbon absorption data acquisition submodule is used to acquire carbon absorption data from industrial parks. The carbon emission calculation submodule is used to calculate the carbon emissions of the industrial park based on the carbon emission calculation model, the actual carbon emission data of each of the carbon emission devices, and the carbon absorption data. The carbon absorption data acquisition submodule includes: The equipment carbon purification data calculation unit is used to identify the carbon purification equipment in the industrial park and obtain the equipment carbon purification data of the carbon purification equipment that is being started. A vegetation feature data extraction unit is used to acquire environmental image data of the industrial park and extract vegetation feature data from the environmental image data. The vegetation carbon purification data calculation unit is used to calculate the vegetation carbon purification efficiency of the vegetation characteristic data according to the preset vegetation purification calculation model, so as to obtain vegetation carbon purification data. A carbon absorption data calculation unit is used to calculate the carbon absorption data of the industrial park based on the carbon purification data of the equipment and the carbon purification data of the vegetation.

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