Method, device and equipment for measuring and calculating carbon emission in vegetable producing area treatment process and medium
By constructing a carbon emission calculation model during the vegetable production process and calculating the carbon emissions in each link, the problem of unmonitored carbon emissions in the cold chain logistics industry is solved, and carbon emission reduction for cold chain logistics is achieved.
Patent Information
- Application Number
- CN202411089943.6
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-08-09
- Publication Date
- 2025-01-03
AI Technical Summary
In the process of rapid development of the cold chain logistics industry, energy consumption and greenhouse gas emissions have grown rapidly, but farmers are not very enthusiastic about building cold chain facilities in the production area, resulting in the carbon emissions in the vegetable production area not being effectively monitored and reduced.
Provide a carbon emission calculation method for the vegetable production area treatment process. By determining the estimator model of the carbon emission treatment link to be tested in the target vegetable production area, a carbon emission calculation model is constructed to calculate the carbon emission and total carbon emissions of each link, including For the types of carbon emissions in the harvesting, sorting, pre-cooling, storage and packaging, the emission factor method is used to construct the operator model of each link.
It realizes accurate measurement of carbon emissions from different links and sources in the process of vegetable production, and provides the design of carbon reduction path optimization solutions, helping the cold chain logistics industry achieve carbon emission reduction while ensuring development.
Smart Images
Figure CN119250833A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of carbon emission measurement, and in particular to a method, device, equipment and medium for measuring carbon emission in a vegetable production process. Background Art
[0002] With the rapid development of economy, people's living standards have gradually improved, and higher requirements have been put forward for food quality and safety. Therefore, high-quality fresh agricultural products such as fruits and vegetables have become one of the mainstream demands of the market. In order to meet the demand for people's quality of life, the cold chain logistics industry came into being and has developed rapidly, and has now become an indispensable part of life.
[0003] The cold chain logistics industry needs to continuously produce and maintain a low-temperature environment suitable for food storage, which results in a large amount of energy consumption in each link of the cold chain and the emission of a large amount of greenhouse gases. With the rapid development of cold chain logistics, energy consumption and greenhouse gas emissions will grow rapidly.
[0004] Therefore, under the general trend of energy conservation, emission reduction and environmental protection, while ensuring the rapid development of the cold chain logistics industry, we must strive to achieve carbon emission reduction in cold chain logistics.
[0005] However, farmers are not very enthusiastic about building cold chain facilities at the production site, so the production site processing process is an overlooked link in carbon emission reduction in cold chain logistics. Therefore, in order to achieve carbon emission reduction in the entire cold chain logistics, it is also necessary to monitor the carbon emissions generated during the vegetable production site processing process, and use complete carbon emission monitoring data to design a carbon reduction path optimization plan. Summary of the invention
[0006] In view of the problems existing in the prior art, the present invention provides a method, device, equipment and medium for measuring carbon emissions in the process of vegetable production.
[0007] The present invention provides a method for calculating carbon emissions during vegetable production and processing, comprising: Determine the calculation sub-model for the processing link of the carbon emissions to be measured in the target vegetable production area; Based on the calculation sub-model of the processing link of the carbon emission to be measured, a carbon emission calculation model of the processing process of the target vegetable production area is constructed; Based on the carbon emission calculation model, the carbon emissions of the processing link corresponding to the carbon emissions to be measured and the total carbon emissions of the processing process in the target vegetable production area are obtained.
[0008] According to a method for calculating carbon emissions in a vegetable production process provided by the present invention, a calculation sub-model for a processing link of carbon emissions to be measured in a target vegetable production area is determined, including: Construct event-indicative functions for all processing links in the target vegetable production area; Determining a processing link for the carbon emissions to be measured based on the event indicative function; Based on the carbon emission types corresponding to the processing links of the carbon emissions to be measured, a measurement sub-model of the processing links of the carbon emissions to be measured is constructed.
[0009] According to a method for calculating carbon emissions in a vegetable production process provided by the present invention, if the processing link of the carbon emissions to be measured includes one or more of harvesting, sorting, precooling, storage and packaging, accordingly, based on the carbon emission types corresponding to the processing link of the carbon emissions to be measured, a calculation sub-model for the processing link of the carbon emissions to be measured is constructed, including: The types of carbon emissions corresponding to the harvesting stage include equipment energy consumption and harvesting losses. Based on equipment energy consumption and harvesting losses, the emission factor method is used to construct a calculation sub-model for the harvesting stage. The types of carbon emissions corresponding to the sorting stage include equipment energy consumption. Based on the equipment energy consumption, the emission factor method is used to construct the calculation sub-model of the sorting stage; The carbon emission types corresponding to the pre-cooling stage include equipment energy consumption, pre-cooling loss and refrigerant leakage. Based on equipment energy consumption, pre-cooling loss and refrigerant leakage, the emission factor method is used to construct the calculation sub-model of the pre-cooling stage; The types of carbon emissions corresponding to the storage link include equipment energy consumption, storage loss and refrigerant leakage. Based on equipment energy consumption, storage loss and refrigerant leakage, the emission factor method is used to construct the calculation sub-model of the storage link; The types of carbon emissions corresponding to the packaging stage include equipment energy consumption, preprocessing losses and packaging material consumption. Based on equipment energy consumption, preprocessing losses and packaging material consumption, the emission factor method is used to construct a measurement sub-model for the packaging stage.
[0010] According to a method for calculating carbon emissions during vegetable production and processing provided by the present invention, the calculation sub-model of the harvesting stage includes:
[0011] in, Carbon emissions from harvesting is the carbon emission factor of the production process, is the carbon emission factor of the waste process, is the recovery loss rate, For vegetable processing volume, is the transportation distance after harvesting, is the fuel consumption per unit distance of vegetable transportation per unit mass, is the diesel carbon emission factor; The calculation sub-models of the sorting stage include:
[0012] in, Carbon emissions from the sorting process, is the recovery loss rate, For vegetable processing volume, is the energy consumption of the sorting machine, is the carbon emission factor of the power grid; The calculation sub-models of the pre-cooling phase include:
[0013] in, Carbon emissions from precooling The temperature change before and after precooling is is the specific heat capacity of vegetables, is the recovery loss rate, is the precooling energy efficiency ratio, is the precooling loss rate, is the carbon emission coefficient of precooling refrigerant leakage, is the carbon emission factor of the power grid, is the carbon emission factor in the production process, The amount of vegetables processed; The calculation sub-models of the storage phase include:
[0014] in, is the carbon emission in the storage stage, is the energy consumption of cold storage, For storage time, is the recovery loss rate, is the precooling loss rate, is the storage loss rate, is the carbon emission factor in the production process, is the carbon emission factor of the power grid, The carbon emission coefficient for storage refrigerant leakage is The amount of vegetables processed; The calculation sub-models of the packaging stage include:
[0015] in, Carbon emissions from packaging is the carbon emission factor of the production process, is the carbon emission factor of the waste process, is the recovery loss rate, is the precooling loss rate, is the storage loss rate, is the pre-processing loss rate, is the energy consumption of the packaging machine, is the amount of inner packaging material used, The amount of outer packaging material used, is the carbon emission factor of the inner packaging, is the carbon emission factor of the outer packaging, is the carbon emission factor of the power grid.
[0016] According to a method for calculating carbon emissions during vegetable production and processing provided by the present invention, the carbon emissions calculation model includes:
[0017] in, is the total carbon emissions from the processing of the target vegetable production area, , , , , They are the event indicative functions of harvesting, sorting, pre-cooling, storage and packaging.
[0018] According to a method for calculating carbon emissions during vegetable production and processing provided by the present invention,
[0019] Event Indicator Function ; It can indicate the occurrence of harvesting events, sorting events, precooling events, storage events and packaging events, respectively. , , , , express.
[0020] The present invention also provides a carbon emission measurement device for a vegetable production area processing process, comprising: A determination module is used to determine a calculation sub-model for the processing link of the carbon emissions to be measured in the target vegetable production area; A construction module is used to construct a carbon emission calculation model for the processing process of the target vegetable production area based on the calculation sub-model of the processing link of the carbon emission to be measured; The processing module is used to obtain the carbon emissions of the processing link corresponding to the carbon emissions to be measured and the total carbon emissions of the processing process of the target vegetable production area based on the carbon emissions estimation model.
[0021] According to a carbon emission calculation device for a vegetable production process provided by the present invention, the determination module is specifically used for: Determine the calculation sub-model for the treatment link of the carbon emissions to be measured in the target vegetable production area, including: Construct event-indicative functions for all processing links in the target vegetable production area; Determining a processing link for the carbon emissions to be measured based on the event indicative function; Based on the carbon emission types corresponding to the processing links of the carbon emissions to be measured, a measurement sub-model of the processing links of the carbon emissions to be measured is constructed.
[0022] The present invention also provides an electronic device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the program, a carbon emission calculation method for any of the above-mentioned vegetable origin processing processes is implemented.
[0023] The present invention also provides a non-transitory computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements a carbon emission calculation method for any of the vegetable origin processing processes described above.
[0024] The present invention also provides a computer program product, including a computer program, which, when executed by a processor, implements a carbon emission calculation method for any of the above-mentioned vegetable origin processing processes.
[0025] The present invention provides a carbon emission measurement method, device, equipment and medium for the processing process of vegetable production areas. By constructing a carbon emission measurement model for the processing process of target vegetable production areas based on a measurement sub-model of the processing link of the carbon emission to be measured in the vegetable production areas, the carbon emission and total carbon emission of the processing link corresponding to the carbon emission to be measured are obtained based on the carbon emission measurement model, thereby accurately measuring the carbon emissions corresponding to different processing links and different carbon emission sources of vegetable production areas. The method can be used for estimating and monitoring the processing processes of different fruit and vegetable production areas and designing carbon reduction path optimization plans. BRIEF DESCRIPTION OF THE DRAWINGS
[0026] In order to more clearly illustrate the technical solutions in the present invention or the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.
[0027] Figure 1 It is a flow chart of the carbon emission calculation method of the vegetable production processing process provided by the present invention.
[0028] Figure 2 It is an overall flow chart of the carbon emission calculation method of the vegetable production process provided by the present invention.
[0029] Figure 3 It is a calculation logic diagram of the carbon emission measurement method of the vegetable production processing process provided by the present invention.
[0030] Figure 4 It is a structural schematic diagram of the carbon emission measuring device for the vegetable production processing process provided by the present invention.
[0031] Figure 5 It is a structural schematic diagram of the electronic device provided by the present invention. DETAILED DESCRIPTION
[0032] In order to make the purpose, technical solution and advantages of the present invention clearer, the technical solution of the present invention will be clearly and completely described below in conjunction with the drawings of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.
[0033] Combine the following Figure 1-Figure 5 The present invention describes the carbon emission calculation method, device, equipment and medium of the vegetable production processing process.
[0034] Figure 1 A flow chart showing a carbon emission calculation method for a vegetable production process provided by the present invention is shown in FIG. Figure 1 , the method comprises the following steps: Step 11, determining a calculation sub-model for the processing link of the carbon emissions to be measured in the target vegetable production area; Step 12: Based on the calculation sub-model of the processing link of the carbon emission to be measured, a carbon emission calculation model for the processing process of the target vegetable production area is constructed; Step 13: Based on the carbon emission calculation model, the carbon emissions of the processing link corresponding to the carbon emissions to be measured and the total carbon emissions of the processing process in the target vegetable production area are obtained.
[0035] Regarding steps 11 to 13, it should be noted that with the rapid development of the economy, people's living standards have gradually improved, and higher requirements have been placed on food quality and safety. Therefore, high-quality fresh agricultural products such as fruits and vegetables have become one of the mainstream demands of the market. In order to meet people's demand for quality of life, the cold chain logistics industry came into being and has developed rapidly, and has now become an indispensable part of life.
[0036] The cold chain logistics industry needs to continuously produce and maintain a low-temperature environment suitable for food storage, which results in a large amount of energy consumption in each link of the cold chain and the emission of a large amount of greenhouse gases. With the rapid development of cold chain logistics, energy consumption and greenhouse gas emissions will grow rapidly.
[0037] Therefore, under the general trend of energy conservation, emission reduction and environmental protection, while ensuring the rapid development of the cold chain logistics industry, we must strive to achieve carbon emission reduction in cold chain logistics.
[0038] However, farmers are not very enthusiastic about building cold chain facilities at the production site, so the production site processing process is an overlooked link in carbon emission reduction in cold chain logistics. Therefore, in order to achieve carbon emission reduction in the entire cold chain logistics, it is also necessary to monitor the carbon emissions generated during the vegetable production site processing process, and use complete carbon emission monitoring data to design a carbon reduction path optimization plan.
[0039] In the present invention, there are some differences in the processing links of vegetables at the vegetable producing areas according to different fruits and vegetables. To this end, it is necessary to determine which processing links in the processing links of the target vegetable producing areas need to be measured for carbon emissions, and the processing links determined here are used as the processing links for carbon emissions to be measured. For example, the links of the vegetable producing area processing process include harvesting, sorting, precooling, storage and packaging. At this time, for different fruit and vegetable producing areas, the links for carbon emissions to be measured can be one or more of harvesting, sorting, precooling, storage and packaging.
[0040] For example, to determine the processing link for the carbon emissions to be measured in the target vegetable producing area, an analysis can be conducted based on the basic information of each vegetable variety in the vegetable producing area (such as type, texture, storage conditions, etc.) to analyze the appropriate processing link for the vegetables.
[0041] For example, the processing link of the target vegetable production area to be measured is determined, and the event indicative function Xa(x) is determined according to the processing link of the specific vegetable production area.
[0042] Event Indicator Function ; It can indicate the occurrence of harvesting events, sorting events, precooling events, storage events and packaging events, respectively. , , , , express.
[0043] The different processing links of vegetables in vegetable producing areas have different calculations for carbon emissions, so it is necessary to build a calculation sub-model for the processing link of the carbon emissions to be measured. This calculation sub-model can calculate the carbon emissions in the corresponding processing link and obtain the carbon emissions in this link.
[0044] Different processing links use different equipment and process different losses of vegetables, which leads to changes in carbon emissions in that link. For example, the use of equipment will indirectly or directly generate carbon emissions. Vegetable losses will also directly or indirectly generate carbon emissions (such as gas produced by vegetable rotting). In other words, the types of carbon emissions in each processing link are different. Therefore, it is necessary to incorporate the carbon emissions directly or indirectly brought about by these types of carbon emissions into the model.
[0045] Therefore, based on the carbon emission types corresponding to the processing links of the carbon emissions to be measured, a measurement sub-model of the processing links of the carbon emissions to be measured is constructed.
[0046] More specifically, the types of carbon emissions corresponding to the harvesting phase include equipment energy consumption and harvesting losses. Based on equipment energy consumption and harvesting losses, the emission factor method is used to construct a sub-model for the harvesting phase; The types of carbon emissions corresponding to the sorting stage include equipment energy consumption. Based on the equipment energy consumption, the emission factor method is used to construct the calculation sub-model of the sorting stage; The carbon emission types corresponding to the pre-cooling stage include equipment energy consumption, pre-cooling loss and refrigerant leakage. Based on equipment energy consumption, pre-cooling loss and refrigerant leakage, the emission factor method is used to construct the calculation sub-model of the pre-cooling stage; The types of carbon emissions corresponding to the storage link include equipment energy consumption, storage loss and refrigerant leakage. Based on equipment energy consumption, storage loss and refrigerant leakage, the emission factor method is used to construct the calculation sub-model of the storage link; The types of carbon emissions corresponding to the packaging stage include equipment energy consumption, preprocessing losses and packaging material consumption. Based on equipment energy consumption, preprocessing losses and packaging material consumption, the emission factor method is used to construct a measurement sub-model for the packaging stage.
[0047] The calculation sub-models of the harvesting stage include:
[0048] in, Carbon emissions from harvesting is the carbon emission factor of the production process, is the carbon emission factor of the waste process, is the recovery loss rate, For vegetable processing volume, is the transportation distance after harvesting, is the fuel consumption per unit distance of vegetable transportation per unit mass, is the diesel carbon emission factor; The calculation sub-models of the sorting stage include:
[0049] in, Carbon emissions from the sorting process, is the recovery loss rate, For vegetable processing volume, is the energy consumption of the sorting machine, is the carbon emission factor of the power grid; The calculation sub-models of the pre-cooling phase include:
[0050] in, Carbon emissions from precooling The temperature change before and after precooling is is the specific heat capacity of vegetables, is the recovery loss rate, is the precooling energy efficiency ratio, is the precooling loss rate, is the carbon emission coefficient of precooling refrigerant leakage, is the carbon emission factor of the power grid, is the carbon emission factor in the production process, The amount of vegetables processed; The calculation sub-models of the storage phase include:
[0051] in, is the carbon emission in the storage stage, is the energy consumption of cold storage, For storage time, is the recovery loss rate, is the precooling loss rate, is the storage loss rate, is the carbon emission factor in the production process, is the carbon emission factor of the power grid, The carbon emission coefficient for storage refrigerant leakage is The amount of vegetables processed; The calculation sub-models of the packaging stage include:
[0052] in, Carbon emissions from packaging is the carbon emission factor of the production process, is the carbon emission factor of the waste process, is the recovery loss rate, is the precooling loss rate, is the storage loss rate, is the pre-processing loss rate, is the energy consumption of the packaging machine, is the amount of inner packaging material used, The amount of outer packaging material used, is the carbon emission factor of the inner packaging, is the carbon emission factor of the outer packaging, is the carbon emission factor of the power grid.
[0053] Due to different vegetable production areas, different processing links are involved. Therefore, based on the calculation sub-model of the processing link of the carbon emission to be measured, a carbon emission calculation model for the processing process of the target vegetable production area is constructed. The carbon emission calculation model includes:
[0054] in, is the total carbon emissions from the processing of the target vegetable production area, , , , , They are the event indicative functions of harvesting, sorting, pre-cooling, storage and packaging.
[0055] Based on the carbon emission calculation model, the carbon emissions of the processing link corresponding to the carbon emissions to be measured and the total carbon emissions of the processing process in the target vegetable production area are obtained.
[0056] It should be noted that the loss of vegetables will be taken into account in different processing links, so it is necessary to consider the quality changes of vegetables during the processing at the place of origin, take vegetable quality as the core independent variable of the carbon emission calculation model, and jointly establish the carbon emission calculation sub-models of each processing link. It should be explained that the loss of vegetable quality is based on the loss rate. For example, in the formula, the initial mass of the harvested vegetables is m. When there is vegetable loss, the loss rate should be taken into account. Among them, the loss rate can be determined based on the change of quality in a certain processing link, or it can be determined based on multiple information.
[0057] It should also be noted that the parameters in the model, such as energy consumption, emission factors, coefficients, etc., are determined through public data, literature search, nameplates of field equipment for fruit and vegetable processing, and theoretical calculations.
[0058] See also Figure 2 It is an overall flow chart of the carbon emission calculation method of the vegetable production and processing process.
[0059] See also Figure 3 It is a calculation logic diagram of the carbon emission measurement method in the vegetable production and processing process.
[0060] The carbon emission estimation method for the vegetable production process provided by the present invention constructs a carbon emission estimation model for the target vegetable production process based on a estimation sub-model of the processing link of the carbon emission to be measured in the vegetable production area. Based on the carbon emission estimation model, the carbon emission and total carbon emission of the processing link corresponding to the carbon emission to be measured are obtained, thereby accurately measuring the carbon emissions corresponding to different links and different carbon emission sources of vegetable production processing. The method can be used for estimation and monitoring of processing processes in different fruit and vegetable production areas and design of carbon reduction path optimization plans.
[0061] The carbon emission calculating device for the vegetable origin processing process provided by the present invention is described below. The carbon emission calculating device for the vegetable origin processing process described below and the carbon emission calculating method for the vegetable origin processing process described above can be referenced to each other.
[0062] Figure 4 A schematic diagram showing a process flow of a carbon emission measurement device for a vegetable production area processing process provided by the present invention is shown in FIG. Figure 4 The device comprises a determination module 41, a construction module 42 and a processing module 43, wherein: A determination module is used to determine a calculation sub-model for the processing link of the carbon emissions to be measured in the target vegetable production area; A construction module is used to construct a carbon emission calculation model for the processing process of the target vegetable production area based on the calculation sub-model of the processing link of the carbon emission to be measured; The processing module is used to obtain the carbon emissions of the processing link corresponding to the carbon emissions to be measured and the total carbon emissions of the processing process of the target vegetable production area based on the carbon emissions measurement model.
[0063] Since the principle of the device of the embodiment of the present invention is the same as that of the method of the above embodiment, a more detailed explanation is omitted here.
[0064] It should be noted that, in the embodiments of the present invention, relevant functional modules may be implemented by a hardware processor.
[0065] The carbon emission measuring device for the vegetable production processing process provided by the present invention constructs a carbon emission measuring model for the target vegetable production processing process based on a measuring sub-model of the processing link of the carbon emission to be measured in the vegetable production area, and obtains the carbon emission and total carbon emission of the processing link corresponding to the carbon emission to be measured based on the carbon emission measuring model, thereby accurately measuring the carbon emission corresponding to different links and different carbon emission sources of the vegetable production processing, and can be used for the estimation and monitoring of the processing processes of different fruit and vegetable production areas and the design of carbon reduction path optimization schemes.
[0066] Figure 5 An example of a physical structure diagram of an electronic device is shown in FIG. Figure 5 As shown, the electronic device may include: a processor 51 (processor), a communication interface 52 (Communications Interface), a memory 53 (memory) and a communication bus 54, wherein the processor 51, the communication interface 52, and the memory 53 communicate with each other through the communication bus 54. The processor 51 may call the logic instructions in the memory 53 to execute the carbon emission measurement method of the vegetable production area processing process, the method comprising: determining the measurement sub-model of the processing link of the carbon emission to be measured in the target vegetable production area; based on the measurement sub-model of the processing link of the carbon emission to be measured, constructing a carbon emission measurement model of the target vegetable production area processing process; based on the carbon emission measurement model, obtaining the carbon emission corresponding to the processing link of the carbon emission to be measured and the total carbon emission of the target vegetable production area processing process.
[0067] In addition, the logic instructions in the above-mentioned memory 53 can be implemented in the form of a software functional unit and can be stored in a computer-readable storage medium when it is sold or used as an independent product. Based on such an understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art or the part of the technical solution, can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk, etc. Various media that can store program codes.
[0068] On the other hand, the present invention also provides a computer program product, which includes a computer program. The computer program can be stored on a non-transitory computer-readable storage medium. When the computer program is executed by a processor, the computer can execute the carbon emission calculation method for the vegetable production process provided by the above-mentioned methods, and the method includes: determining a calculation sub-model for the processing link of the carbon emission to be measured in the target vegetable production area; based on the calculation sub-model for the processing link of the carbon emission to be measured, constructing a carbon emission calculation model for the processing process of the target vegetable production area; based on the carbon emission calculation model, obtaining the carbon emissions of the processing link corresponding to the carbon emission to be measured and the total carbon emissions of the processing process of the target vegetable production area.
[0069] On the other hand, the present invention also provides a non-transitory computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, is implemented to execute the carbon emission estimation method for the vegetable production process provided by the above-mentioned methods, the method comprising: determining a estimation sub-model for the processing link of the carbon emission to be measured in the target vegetable production area; based on the estimation sub-model for the processing link of the carbon emission to be measured, constructing a carbon emission estimation model for the processing process of the target vegetable production area; based on the carbon emission estimation model, obtaining the carbon emission amount of the processing link corresponding to the carbon emission to be measured and the total carbon emission amount of the processing process of the target vegetable production area.
[0070] The device embodiments described above are merely illustrative, wherein the units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they may be located in one place, or they may be distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the scheme of this embodiment. Ordinary technicians in this field can understand and implement it without paying creative labor.
[0071] Through the description of the above implementation methods, those skilled in the art can clearly understand that each implementation method can be implemented by means of software plus a necessary general hardware platform, and of course, can also be implemented by hardware. Based on this understanding, the above technical solution is essentially or the part that contributes to the prior art can be embodied in the form of a software product, and the computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, a disk, an optical disk, etc., including a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods described in each embodiment or some parts of the embodiments.
[0072] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.
Claims
1. A method for calculating carbon emissions during vegetable production process, characterized in that: include: Determine the calculation sub-model for the processing link of the carbon emissions to be measured in the target vegetable production area; Based on the calculation sub-model of the processing link of the carbon emission to be measured, a carbon emission calculation model of the processing process of the target vegetable production area is constructed; Based on the carbon emission calculation model, the carbon emissions of the processing link corresponding to the carbon emissions to be measured and the total carbon emissions of the processing process in the target vegetable production area are obtained.
2. The carbon emission calculation method for the vegetable production process according to claim 1 is characterized in that: Determine the calculation sub-model for the treatment link of the carbon emissions to be measured in the target vegetable production area, including: Construct event-indicative functions for all processing links in the target vegetable production area; Determining a processing link for the carbon emissions to be measured based on the event indicative function; Based on the carbon emission types corresponding to the processing links of the carbon emissions to be measured, a measurement sub-model of the processing links of the carbon emissions to be measured is constructed.
3. The method for calculating carbon emissions during vegetable production process according to claim 2, characterized in that: If the processing link of the carbon emission to be measured includes one or more of harvesting, sorting, precooling, storage and packaging, accordingly, based on the carbon emission type corresponding to the processing link of the carbon emission to be measured, a calculation sub-model of the processing link of the carbon emission to be measured is constructed, including: The types of carbon emissions corresponding to the harvesting stage include equipment energy consumption and harvesting losses. Based on equipment energy consumption and harvesting losses, the emission factor method is used to construct a calculation sub-model for the harvesting stage. The types of carbon emissions corresponding to the sorting stage include equipment energy consumption. Based on the equipment energy consumption, the emission factor method is used to construct the calculation sub-model of the sorting stage; The carbon emission types corresponding to the pre-cooling stage include equipment energy consumption, pre-cooling loss and refrigerant leakage. Based on equipment energy consumption, pre-cooling loss and refrigerant leakage, the emission factor method is used to construct the calculation sub-model of the pre-cooling stage; The types of carbon emissions corresponding to the storage stage include equipment energy consumption, storage loss and refrigerant leakage. Based on equipment energy consumption, storage loss and refrigerant leakage, the emission factor method is used to construct the calculation sub-model of the storage stage; The types of carbon emissions corresponding to the packaging stage include equipment energy consumption, preprocessing losses and packaging material consumption. Based on equipment energy consumption, preprocessing losses and packaging material consumption, the emission factor method is used to construct a measurement sub-model for the packaging stage.
4. The method for calculating carbon emissions during vegetable production process according to claim 3, characterized in that: The calculation sub-models of the harvesting stage include: in, Carbon emissions from harvesting is the carbon emission factor of the production process, is the carbon emission factor of the waste process, is the recovery loss rate, For vegetable processing volume, is the transportation distance after harvesting, is the fuel consumption per unit distance of vegetable transportation per unit mass, is the diesel carbon emission factor; The calculation sub-models of the sorting stage include: in, Carbon emissions from the sorting process, is the recovery loss rate, For vegetable processing volume, is the energy consumption of the sorting machine, is the carbon emission factor of the power grid; The calculation sub-models of the pre-cooling phase include: in, Carbon emissions from precooling The temperature change before and after precooling is is the specific heat capacity of vegetables, is the recovery loss rate, is the precooling energy efficiency ratio, is the precooling loss rate, is the carbon emission coefficient of precooling refrigerant leakage, is the carbon emission factor of the power grid, is the carbon emission factor in the production process, The amount of vegetables processed; The calculation sub-models of the storage phase include: in, is the carbon emission in the storage stage, is the energy consumption of cold storage, For storage time, is the recovery loss rate, is the precooling loss rate, is the storage loss rate, is the carbon emission factor in the production process, is the carbon emission factor of the power grid, The carbon emission coefficient for storage refrigerant leakage is The amount of vegetables processed; The calculation sub-models of the packaging stage include: in, Carbon emissions from packaging, is the carbon emission factor of the production process, is the carbon emission factor of the waste process, is the recovery loss rate, is the precooling loss rate, is the storage loss rate, is the pre-processing loss rate, is the energy consumption of the packaging machine, is the amount of inner packaging material used, The amount of outer packaging material used, is the carbon emission factor of the inner packaging, is the carbon emission factor of the outer packaging, is the carbon emission factor of the power grid.
5. The method for calculating carbon emissions during vegetable production process according to claim 4, characterized in that: The carbon emission calculation model includes: in, is the total carbon emissions from the processing of the target vegetable production area, , , , , They are the event indicative functions of harvesting, sorting, pre-cooling, storage and packaging.
6. The method for calculating carbon emissions during vegetable production process according to claim 4, characterized in that: Event Indicator Function ; It can indicate the occurrence of harvesting events, sorting events, pre-cooling events, storage events and packaging events, respectively. , , , , express.
7. A carbon emission measurement device for vegetable production processing, characterized in that: include: A determination module is used to determine a calculation sub-model for the processing link of the carbon emissions to be measured in the target vegetable production area; A construction module is used to construct a carbon emission calculation model for the processing process of the target vegetable production area based on the calculation sub-model of the processing link of the carbon emission to be measured; The processing module is used to obtain the carbon emissions of the processing link corresponding to the carbon emissions to be measured and the total carbon emissions of the processing process of the target vegetable production area based on the carbon emissions estimation model.
8. The carbon emission calculation device for vegetable production process according to claim 7 is characterized in that: The determination module is specifically used for: Determine the calculation sub-model for the treatment link of the carbon emissions to be measured in the target vegetable production area, including: Construct event-indicative functions for all processing links in the target vegetable production area; Determining a processing link for the carbon emissions to be measured based on the event indicative function; Based on the carbon emission types corresponding to the processing links of the carbon emissions to be measured, a measurement sub-model of the processing links of the carbon emissions to be measured is constructed.
9. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein: When the processor executes the program, it implements the carbon emission calculation method of the vegetable production processing process as described in any one of claims 1-6.
10. A non-transitory computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, it implements the carbon emission calculation method of the vegetable production processing process as described in any one of claims 1-6.